WO2019065688A1 - Interactive health promotion system, interactive learning promotion system, interactive purchase promotion system - Google Patents

Interactive health promotion system, interactive learning promotion system, interactive purchase promotion system Download PDF

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Publication number
WO2019065688A1
WO2019065688A1 PCT/JP2018/035585 JP2018035585W WO2019065688A1 WO 2019065688 A1 WO2019065688 A1 WO 2019065688A1 JP 2018035585 W JP2018035585 W JP 2018035585W WO 2019065688 A1 WO2019065688 A1 WO 2019065688A1
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Prior art keywords
information
user
learning
dialogue
purchase
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PCT/JP2018/035585
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French (fr)
Japanese (ja)
Inventor
浩 松平
英良 篠原
慶明 杉村
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株式会社トラヴォス
株式会社電通
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Priority to JP2019545538A priority Critical patent/JPWO2019065688A1/en
Publication of WO2019065688A1 publication Critical patent/WO2019065688A1/en

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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/30—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to physical therapies or activities, e.g. physiotherapy, acupressure or exercising
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment

Definitions

  • the present invention is an invention relating to a system that promotes the health, learning, and purchasing of a system user through a dialog that makes use of the system and feels as if in contact with a single person who is thinking about himself.
  • the information or data that the system judges to be optimal in order to avoid following the advice for health promotion from the system or to avoid troublesome health promotion advice from the system It was supposed to be input to the system. Therefore, we can perform a warm dialogue as if we were talking to human beings, in order to continuously hold emotions that are essential for human beings to repeat and continue their efforts through interaction with the system. It was required to provide an interactive system.
  • the present invention provides the following interactive health promotion system and the like. That is, as a first invention, a user identification information holding unit that holds user identification information that identifies a user who uses SNS, and user related information that includes an utterance of a SNS user who uses the user in association with the user identification information.
  • An SNS user related information acquisition unit that acquires certain SNS user related information as external information, and an analysis that is a rule for acquiring health condition information by analyzing external information from the viewpoint of grasping health conditions in association with user identification information
  • Health condition information analysis acquisition unit that acquires health condition information based on an analysis rule holding unit that holds rules and an analysis rule that is associated with the same user identification information as the acquired external information that is associated with the user identification information
  • dialogue information storing dialogue information to be transmitted according to the health status information acquired in association with the user identification information
  • a user-by-user dialog information selection rule holding unit which holds a user-by-user dialog information selection rule which is a rule associated with user identification information for selecting the dialogue information accumulated based on the acquired health condition information
  • a dialog information selection unit for selecting from the dialog information storage unit dialog information in a dialog format according to the characteristics of each user based on the acquired health condition information and the user-specific dialog information selection rule held
  • a dialog information output unit for outputting dialog information to the user identified by the user identification information via the S
  • a browser search history user related information acquiring unit which acquires browser search history user related information which is search history information of a browser searched by a user in association with user identification information as external information
  • the interactive health promotion system according to the first invention or the second invention further including a news user related information acquiring unit for acquiring news information as external information in association with user identification information. provide.
  • the first invention further includes a life log user related information acquiring unit for acquiring life log user related information which is a life log recorded in the user's terminal in association with user identification information as external information
  • a life log user related information acquiring unit for acquiring life log user related information which is a life log recorded in the user's terminal in association with user identification information as external information
  • the interactive health promotion system according to any one of the first invention to the fourth invention, further comprising a response dialogue information acquisition unit for acquiring response dialogue information to the outputted dialogue information.
  • a response dialogue information acquisition unit for acquiring response dialogue information to the outputted dialogue information.
  • a validity judgment rule holding unit for holding a validity judgment rule which is a rule for judging whether the response dialogue information acquired with respect to the outputted dialogue information is valid or not.
  • a fifth invention described in the fifth invention further comprising a dialogue information validity judgment unit which judges the validity of the dialogue information based on the dialogue information, the response dialogue information acquired for the dialogue information, and the validity judgment rule.
  • the dialogue information validity judging unit is a rule for performing statistical processing of the validity of dialogue information of a plurality of users for each common user attribute with respect to a population with respect to a population Effectiveness statistical processing rule holding means for holding statistical processing rules; Based on the interaction information of a plurality of users and the held effectiveness statistical processing rules, the effectiveness of the interaction information is determined statistically at least for the population, and a statistical determination is made for each common user attribute.
  • the interactive health promotion system according to the sixth aspect of the present invention is provided.
  • the user-by-user dialog information selection rule updating unit updating the user-by-user dialog information selection rule held in the user-by-user dialog information selection rule holding unit based on the validity determination result
  • the interactive health promotion system according to the sixth invention or the seventh invention is provided.
  • a user identification information holding unit that holds user identification information for identifying a user who uses SNS, and external information in relation to user identification information to analyze health information in view of health status
  • An analysis rule holding unit that holds an analysis rule that is a rule for acquiring status information
  • a dialog information storage unit that stores dialog information to be sent out according to the health status information acquired in association with user identification information
  • Interactive health information holding rule for each user that holds dialog information selection rules for each user, which is a rule associated with user identification information for selecting the dialog information accumulated based on the selected health status information
  • An operation method of a promotion system which is user related information including an utterance of a user of an SNS used by the user in association with the user identification information.
  • the health condition information is obtained based on the SNS user related information acquisition step of acquiring the NS user related information as the external information, and the analysis rule associated with the same user identification information as the acquired external information associated with the user identification information.
  • the dialogue information of dialog type Based on the health condition information analysis acquisition step to be acquired, and the acquired health condition information and the user-specific dialog information selection rule held, the dialogue information of dialog type according to the characteristics of each user from the dialogue information storage unit
  • a method of operating an interactive health promotion system comprising: a dialog information selection step to select; and a dialog information output step to output the selected dialog information to the user identified by the user identification information via the SNS. provide.
  • a user identification information holding unit that holds user identification information for identifying a user who uses SNS, and user identification information in association with external information is analyzed from the viewpoint of grasping the health situation
  • An analysis rule holding unit that holds an analysis rule that is a rule for acquiring health condition information, and a dialogue information storage unit that stores dialogue information to be transmitted according to the health condition information acquired in association with the user identification information
  • Interactive information selection rule holding unit for each user holding a user-specific dialog information selection rule which is a rule associated with the user identification information for selecting the accumulated dialogue information based on the acquired health condition information
  • An operation method program of a health promotion system comprising: a user relationship of the SNS used by the user in association with the user identification information; SNS user related information acquisition step of acquiring SNS user related information which is information as external information, and health based on the analysis rule associated with the same user identification information as the acquired external information associated with the user identification information
  • the dialogue information of the dialogue type according to the characteristics of each user based on the health condition information analysis acquisition step of
  • a first learning user identification information holding unit that holds user identification information identifying a user who uses an SNS and a learning system, and an SNS user who uses the SNS in association with the user identification information
  • the first learning SNS user related information acquisition unit that acquires SNS user related information that is user related information that includes the remarks of the user as external information, and the learning system that the user uses in association with the user identification information
  • the first learning history information acquisition unit that acquires learning history information that is information indicating the history of learning, and information that indicates the effect of learning performed in the learning system from the learning system used by the user in association with the user identification information.
  • a first learning effect information acquisition unit for acquiring certain learning effect information, external information in association with user identification information, and learning history information
  • a learning analysis rule holding unit which is a rule for acquiring learning situation information by analyzing learning effect information in view of grasping the learning situation, and is associated with user identification information
  • Learning status information analysis acquisition unit that acquires learning status information based on acquired external information, learning history information, learning effect information, and analysis rules associated with the same user identification information, and user identification information
  • the first learning dialogue information storage unit storing dialogue information to be transmitted according to the learning situation information acquired in association with the user identification information associated with the user identification information for selecting the dialogue information accumulated based on the acquired learning situation information
  • the first learning user classified dialogue information selection rule holding unit that holds the classified dialogue information selection rule by user, and the acquired learning status information
  • a first learning dialogue information selecting unit for selecting dialogue information in a dialogue format according to the user-specific dialogue information selection rule from the first learning dialogue information storage unit based on the user-by-user dialogue information selection rule;
  • An interactive learning promotion system comprising
  • a second learning user identification information holding unit that holds user identification information identifying a user who uses the SNS and the learning system, and an SNS user who uses the SNS in association with the user identification information
  • the second learning SNS user related information acquisition unit that acquires SNS user related information that is user related information that includes the remarks as external information, and the learning system that is performed by the user from the learning system that the user uses in association with the user identification information
  • the second learning history information acquisition unit that acquires learning history information that is information indicating the history of learning, and information that indicates the effect of learning performed in the learning system from the learning system used by the user in association with the user identification information
  • the second learning effect information acquisition unit for acquiring certain learning effect information, and the learning system used by the user in association with the user identification information
  • a second learning curriculum information acquisition unit for acquiring curriculum information performed in the learning system from the learning system, external information, learning history information, learning effect information, and curriculum information in association with user identification information;
  • a second learning analysis rule holding unit that holds learning analysis rules that are rules for analyzing
  • a third learning user identification information holding unit that holds user identification information identifying a user who uses the SNS and the learning system, and an SNS user who uses the SNS in association with the user identification information
  • a third learning SNS user related information acquisition unit that acquires SNS user related information, which is user related information including the remarks of the person concerned with the learning system (including the remarks generated by the computer), as external information
  • the third learning history information acquisition unit that acquires learning history information that is information indicating the history of learning performed in the learning system that is used by the user from the learning system that is used by the user in association with the Third, acquiring learning effect information, which is information indicating an effect of learning performed in the learning system, from the learning system Learning that is a rule for acquiring learning situation information by analyzing learning effect information acquiring unit, external information in association with user identification information, learning history information, and learning effect information from the viewpoint of grasping the learning situation
  • a third learning analysis rule holding unit that holds analysis rules, acquired external information associated with user identification information, learning history information, learning effect information, and
  • a learning effectiveness judgment that holds a learning effectiveness judgment rule which is a rule to judge whether the dialogue information is effective based on the learning effect information acquired for the outputted dialogue information
  • a rule holding unit a learning dialogue information validity judgment unit for judging the validity of the dialogue information based on the outputted dialogue information, the learning effect information acquired for the dialogue information, and the learning validity judgment rule;
  • the interactive learning promotion system according to any one of the twelfth invention to the fourteenth invention.
  • a learning history valid holding rule for learning history validity judging which is a rule to judge whether the dialog information is valid based on the learning history information acquired with respect to the outputted dialog information
  • the learning history dialogue information validity which judges the validity of the dialogue information based on the sex judgment rule holding unit, the outputted dialogue information, the learning history information acquired for the dialogue information, and the learning history validity judgment rule
  • the learning dialogue information validity judging unit or / and the learning history dialogue information validity judging unit is a part of the validity of the dialogue information of a plurality of users with respect to the population.
  • Learning effectiveness statistical processing rule holding means for holding learning effectiveness statistical processing rules which are rules for performing statistical processing for each common user attribute, dialogue information of a plurality of users, and learning effectiveness statistical processing rules held Learning statistical dialogue information effectiveness information obtained by statistically judging the effectiveness of dialogue information at least partially for each common user attribute with respect to the population learning statistical dialogue information validity information acquisition
  • the interactive learning promotion system according to an eighteenth invention or an eighteenth invention according to the seventeenth invention, further comprising a learning statistical user-specific dialogue information selection rule updating unit updating the dialogue information selection rule.
  • a learning user identification information holding unit that holds user identification information identifying a user who uses the SNS and the learning system, external information in association with the user identification information, and learning history information
  • a learning analysis rule holding unit which holds learning analysis rules which are rules for analyzing learning effect information and acquiring learning situation information from the viewpoint of grasping the learning situation;
  • a learning dialogue information storage unit storing dialogue information to be transmitted according to learning situation information acquired in association with user identification information, and user identification information for selecting dialogue information accumulated based on the acquired learning situation information
  • An operation method of an interactive health promotion system comprising: a learning user classified dialogue information selection rule holding unit holding a user classified dialogue information selection rule which is an associated rule, which is used by a user in association with user identification information
  • the SNS user related information acquisition step of acquiring SNS user related information that is user related information including the speech of the SNS user as external information, and the learning system performed from the learning system used by the user in association with the user identification information
  • a learning history information acquisition step of acquiring learning history information which is information
  • a learning user identification information holding unit for holding user identification information for identifying a user who uses an SNS and a learning system, external information in association with user identification information, and learning history information Learning effect information and the learning analysis rule holding unit that holds learning analysis rules that are rules for analyzing learning status information from the viewpoint of grasping the learning status, and learning acquired in association with user identification information
  • a dialog for each user which is a rule associated with the learning dialog information storage unit storing the dialog information to be transmitted according to the status information, and the user identification information for selecting the dialog information stored based on the acquired learning status information
  • An operation program of an interactive health promotion system comprising: a learning user-by-learning user dialogue information selection rule holding unit holding an information selection rule, the user being a user
  • a learning SNS user related information acquisition step for acquiring SNS user related information that is user related information including the speech of the SNS user used by the user in association with the separate information as external information, and the user uses it in association with the user identification information
  • a first purchasing user identification information holding unit that holds user identification information identifying a user who has a purchase history of a specific product using an SNS, and a user in association with the user identification information
  • the first purchasing SNS user related information acquisition unit that acquires SNS user related information that is user related information including the remarks of the SNS user that the user uses as the external information, and the user's purchase history of the specific item
  • the first purchase history information acquisition unit that acquires purchase history information that is information indicating the advertisement information, and the advertisement transmission history information that is the transmission history of the advertisement of the particular product that the user may have touched in association with the user identification information
  • the first purchase advertisement advertisement transmission history information acquiring unit for acquiring the external information, the purchase history information and the advertisement advertisement transmission history information in association with the user identification information
  • a first purchase analysis rule holding unit that holds a first purchase analysis rule that is a rule for acquiring purchase status information by analyzing the purchase status of the specific product from the viewpoint of grasping the purchase status, and is associated with user identification information
  • a second purchasing user identification information holding unit that holds user identification information identifying a user having a purchase history of a specific product using an SNS, and a user in association with the user identification information
  • a second purchasing SNS user related information acquiring unit that acquires SNS user related information that is user related information including a statement of the user of the SNS used by the user as the external information, and a purchase history of the specific product of the user
  • a second purchase history information acquisition unit that acquires purchase history information that is information indicating the advertisement information, and advertisement advertisement transmission history information that is a transmission history of advertisement of the particular product that may be in contact with the user identification information
  • a second purchase advertising advertisement transmission history information acquiring unit for acquiring the information, and information indicating user behavior or / and a life log in association with user identification information
  • the second purchasing behavior / life log information acquisition unit for acquiring motion / life log information, external information in association with user identification information, purchasing history information, advertising / advertising dispatch history information, behavior / life log information
  • a second purchase analysis rule holding unit that
  • a second purchase user-by-purchase dialog information selection rule holding unit that holds a user-by-user dialog information selection rule that is a rule associated with user identification information that selects interaction information accumulated based on the purchased purchase status information;
  • a second purchase dialogue information selection unit which selects dialogue-type dialogue information conforming to the characteristics of each user based on the purchase situation information and the user dialogue information selection rule held, from the second purchase dialogue information storage unit
  • a second purchase interaction information output unit for outputting the selected interaction information to the user identified by the user identification information through the SNS.
  • purchase validity holding rule is a rule for judging whether the dialogue information is valid based on the purchase situation information acquired for the outputted dialogue information.
  • Purchase dialogue information validity judgment unit that judges the validity of the dialogue information based on the judgment rule holding unit, the outputted dialogue information, the purchase status information acquired for the dialogue information, and the purchase validity judgment rule And the interactive purchase promotion system according to the twenty-second invention or the twenty-third invention.
  • the purchase dialogue information validity judgment unit is a rule for performing statistical processing on the validity of dialogue information of a plurality of users for each common user attribute with respect to a population.
  • purchase effectiveness statistical processing rule holding means for holding a certain purchase effectiveness statistical processing rule, interaction information of a plurality of users, and the held purchase effectiveness statistical processing rules, the interaction information is statistically effective
  • Purchasing statistical dialogue information validity information acquiring means for acquiring purchasing statistical dialogue information validity information determined at least in part with respect to a population for each common user attribute; Provide an interactive purchase promotion system as described in
  • the user-by-purchasing user interaction information selection rule holding unit (based on the judgment result of the purchase interaction information validity judgment unit (first or second) may be used)
  • the user-specific dialogue is purchased based on the acquired purchase statistical dialogue information validity information (may be first or second) and held in the user-specific dialogue information selection rule holding unit
  • the interactive purchase promotion system according to the twenty-sixth invention subordinate to claim 25 or claim 25 is provided, further comprising a purchase statistical user-based dialogue information selection rule updater for updating the information selection rule.
  • a purchasing user identification information holding unit that holds user identification information that identifies a user having a purchase history of a specific product using an SNS, and the user identification information in association with the user identification information
  • the purchase SNS user related information acquisition unit that acquires SNS user related information that is user related information including the remark of the SNS user who is SNS user as external information, external information in association with user identification information, purchase history information, advertisement advertisement dispatch
  • Purchase analysis rule holding unit that holds purchase analysis rules that are rules for acquiring history information by analyzing history information from the viewpoint of grasping the purchase status of the specific product, and acquiring it in association with user identification information It is accumulated based on the purchase dialogue information accumulation unit which accumulated dialogue information to be transmitted according to the purchased purchase situation information, and the acquired purchase situation information
  • An operating method of the interactive purchase promotion system including a purchase user-by-purchase dialog information selection rule holding unit that holds a purchase user-by-purchase dialog information selection rule which is a rule associated with user identification information for selecting story information;
  • a purchasing user identification information holding unit that holds user identification information that identifies a user who has a purchase history of a specific product using an SNS, and the user identification information in association with the user identification information
  • the purchase SNS user related information acquisition unit that acquires SNS user related information that is user related information including the remark of the SNS user who is SNS user as external information, external information in association with user identification information, purchase history information, advertisement advertisement dispatch
  • Purchase analysis rule holding unit that holds purchase analysis rules that are rules for acquiring history information by analyzing history information from the viewpoint of grasping the purchase status of the specific product, and acquiring it in association with user identification information
  • a purchase dialogue information storage unit storing dialogue information to be transmitted according to the purchased purchase situation information, and a pair stored based on the acquired purchase situation information
  • An operating program for an interactive purchase promotion system comprising: a purchase user-by-purchase dialog information selection rule holding unit holding a purchase user-by-purchase dialog information selection rule which is a rule associated with user identification information for selecting information;
  • a learning response dialogue information acquiring unit for acquiring response dialogue information for the outputted dialogue information, and whether the acquired response dialogue information for the outputted dialogue information is valid A learning response validity determination rule holding unit that holds a learning response validity determination rule, which is a rule, the output dialogue information, the response dialogue information acquired for the dialogue information, the learning response validity determination rule,
  • An interactive learning promotion system according to any of the twelfth invention through the sixteenth invention, further comprising: a learning response dialogue information validity judging unit which judges the effectiveness of the dialogue information based on the above.
  • a learning response dialogue information acquiring unit for acquiring response dialogue information for the outputted dialogue information, and determining whether the response dialogue information acquired for the outputted dialogue information is valid
  • a learning response validity determination rule holding unit that holds a learning response validity determination rule, which is a rule, the output dialogue information, the response dialogue information acquired for the dialogue information, the learning response validity determination rule, And a learning response dialogue information validity judgment unit that judges the validity of the dialogue information based on
  • the learning response dialogue information validity judging unit holds learning response validity statistical processing rules, which are rules for performing statistical processing of the effectiveness of dialogue information of a plurality of users for each common user attribute with respect to a population Based on the learning response effectiveness statistical processing rule holding means, interaction information of a plurality of users, and the held learning response effective statistical processing rules, the effectiveness of the interactive information is statistically applied to at least the population.
  • a learning response statistical dialogue information validity information acquiring means for acquiring learning response statistical dialogue information validity information determined in part for each common user attribute; An interactive learning promotion system according to the invention is provided.
  • the interactive learning promotion system according to the thirty-first invention or the thirty-second invention, further comprising a learning response per-user dialogue information selection rule updating unit for updating the per-user dialogue information selection rule.
  • a thirty-fourth invention based on the acquired learning response statistical dialogue information validity information (which may be any of the first to third) is held in a learning user classified dialogue information selection rule holding unit Dialog according to the thirty-second invention or the thirty-third invention according to the thirty-second invention, further comprising a learning response statistical user-specific dialog information selection rule updating unit for updating the user-specific dialog information selection rule Expression learning promotion system.
  • a purchase response validity judgment rule holding unit that holds purchase response validity judgment rules, which are rules to be output, interaction information output, response interaction information acquired for the interaction information, purchase response validity judgment rules,
  • the interactive purchase promotion system according to the twenty-second invention to the twenty-fourth invention further comprising a purchase response dialogue information validity judgment unit which judges the validity of the dialogue information based on the above.
  • a purchase response dialogue information acquisition unit for acquiring response dialogue information for the outputted dialogue information and whether the response dialogue information acquired for the outputted dialogue information is valid
  • a purchase response validity judgment rule holding unit that holds purchase response validity judgment rules, which are rules to be output, interaction information output, response interaction information acquired for the interaction information, purchase response validity judgment rules,
  • the purchase response dialogue information validity judgment unit determines the effectiveness of the dialogue information based on the above, and the purchase response dialogue information validity judgment unit determines the validity of the dialogue information of a plurality of users with respect to the population.
  • Purchase response validity statistical processing rule holding means for holding purchase response effectiveness statistical processing rules, which are rules for performing statistical processing partially for each common user attribute, Based on the interaction information of a plurality of users and the purchase response effectiveness statistical processing rules held, the effectiveness of the interaction information is judged statistically at least partially for each population, for each common user attribute.
  • An interactive purchase promotion system according to the twenty-second invention to the twenty-fourth invention, further comprising: purchase response statistical interaction information availability information acquiring means for acquiring purchase response statistical interaction information validity information; provide.
  • the user held by the purchase user classified dialogue information selection rule holding unit (first or second may be used) based on the judgment result of the purchase response dialogue information validity judgment unit.
  • the interactive purchase promotion system according to the thirty-fifth invention or the third invention of the invention further has a purchase response user-specific dialogue information selection rule updating unit for updating the separate dialogue information selection rule.
  • the user-by-purchasing user interaction information selection rule holding unit (based on the acquired purchase response statistical interaction information validity information (first or second) may be used)
  • the interactive purchase according to the thirty-sixth invention or the thirty-seventh invention according to the thirty-sixth invention further having a purchase response statistical user-specific dialogue information selection rule updating unit updating the dialogue information selection rule Provide a promotion system.
  • a 39th invention instead of a user having a purchase history of a specific product, the user is described in the 35th invention to the 38th invention as a user having an advertisement transmission history of a specific product. Provide an interactive purchase promotion system.
  • a warm dialog as if talking with human beings to continuously hold emotions that are essential for human beings to repeat and continue their efforts through interaction with the system.
  • FIG. 1 shows the structure of the interactive health promotion system of Embodiment 1 Hardware configuration of interactive health promotion system according to the first embodiment Illustration showing the flow of processing of the interactive health promotion system of Embodiment 1
  • FIG which shows the structure of the interactive health promotion system of Embodiment 2 Hardware configuration of interactive health promotion system according to the second embodiment Illustration showing the flow of processing of the interactive health promotion system of Embodiment 2
  • the figure which shows the structure of the interactive health promotion system of Embodiment 3 Hardware configuration example of the interactive health promotion system of the third embodiment Illustration showing the flow of processing of the interactive health promotion system of the third embodiment
  • the figure which shows the structure of the interactive health promotion system of Embodiment 4 Hardware configuration of interactive health promotion system according to the fourth embodiment Diagram showing the process flow of the interactive health promotion system of the fourth embodiment Example showing the individuality of the interactive health promotion system of Embodiment 5 Hardware configuration example of the interactive health promotion system of the fifth embodiment
  • the figure which shows the flow of the interactive health promotion system of the fourth embodiment Example showing the individuality of the interactive health promotion system of Em
  • FIG. 17 The figure which shows the structure of the interactive learning promotion system of Embodiment 18
  • FIG. 18 The simplified conceptual diagram of the function of AI of the interactive health promotion system of Embodiment 18
  • Hardware configuration example diagram of the interactive learning promotion system according to the eighteenth embodiment A figure showing a flow of processing of an interactive learning promotion system of Embodiment 18
  • FIG. 19 The figure which shows the structure of the interactive learning promotion system of Embodiment 19.
  • FIG. 19 Hardware configuration example diagram of the interactive learning promotion system according to the nineteenth embodiment
  • FIG. 19 Conceptual diagram showing the state of using this interactive purchase promotion system
  • Hardware configuration of the interactive purchase promotion system according to the twenty-second embodiment The figure which shows the flow of a process of the interactive purchase promotion system of Embodiment 22
  • the figure which shows the structure of the interactive purchase promotion system of the implementation body 23 Hardware configuration of the interactive purchase promotion system according to the twenty-third embodiment A figure showing the flow of processing of interactive purchase promotion system of Embodiment 23
  • the figure which shows the structure of the interactive purchase promotion system of Embodiment 24 Hardware configuration example diagram of the interactive purchase promotion system according to the twenty-fourth embodiment A figure showing the flow of processing of an interactive purchase promotion system of Embodiment 24
  • FIG. 25 A figure showing the flow of processing of interactive purchase promotion system of Embodiment 25
  • the figure which shows the structure of the interactive purchase promotion system of Embodiment 26 The simplified conceptual diagram of the function of AI of the interactive health promotion system of Embodiment 26
  • a diagram of a hardware configuration of the interactive purchase promotion system according to the twenty-sixth embodiment The figure which shows the flow of a process of the interactive purchase promotion system of Embodiment 27
  • the figure which shows the structure of the interactive purchase promotion system of Embodiment 27 Hardware configuration of the interactive purchase promotion system according to the twenty-seventh embodiment
  • the figure which shows the flow of a process of the interactive purchase promotion system of Embodiment 27 A figure showing an example of composition of Embodiments 20 and 21.
  • Embodiment N corresponds to claim N.
  • N is 1 to 39.
  • the present invention should not be limited to these embodiments at all, and can be implemented in various modes without departing from the scope of the invention.
  • FIG. 1 is an image conceptual diagram showing the relationship between an interactive health promotion system, various SNS services, and users.
  • a (0102 a), B (0102 b), C (0102 c), D (0102 d) and E (0102 e) using SNS are SNS systems such as SNS 1 (0103), SNS 2 (0104), SNS 3 (0105) We use and interact.
  • FIG. 2 is an image conceptual diagram when giving health promotion advice to a user who has an interactive health promotion system.
  • Conversational health promotion system (0201) conversation information ("Good morning”"Today is still sleepy") that the user (0202) registered in the interactive health promotion system sends out using SNS etc.
  • the interactive health promotion system determines the background purpose and determines appropriate dialogue information for achieving the purpose from the acquired current health status of the user. For example, if you decide that you want the user to do aerobic exercise as a background purpose, as good dialogue information for achieving the purpose, "Good morning. A little tired. Today's recommendation is “Ueno Park.” It is not a systematic expression, “ ⁇ ⁇ ( ⁇ ⁇ ⁇ ) good morning ⁇ I'm getting tired today? Today's recommendation is Ueno Park !! Art museum or super cute baby panda can be seen ( ⁇ _-)- ⁇ ", etc., health promotion advice with the tone suitable for the user using SNS (0207) is output to the portable terminal (0208) that receives the interaction with the interactive health promotion system owned by the user.
  • the interactive health promotion system uses, as a first feature, external information such as the user's speech on the SNS.
  • external information such as the user's speech on the SNS.
  • the acquired external information is analyzed as data, and the user's "feeling" is analyzed from the information rather than merely acquiring numerical physical health condition information, and physically
  • mental health status information is also acquired, and "current health status” taking into consideration both physical health and mental health is analyzed and acquired.
  • the content of the optimal advice is selected from the "current health condition” analyzed and acquired, and the advice content selected using the optimal tone according to the tone that the user usually uses Output
  • FIG. 3 is a diagram showing an example of the configuration of the interactive health promotion system of the first embodiment.
  • the interactive health promotion system of the first embodiment includes a user identification information storage unit (0301), an SNS user related information acquisition unit (0302), an analysis rule storage unit (0303), and health condition information analysis acquisition. It consists of a part (0304), a dialogue information storage part (0305), a dialogue information selection rule holding part for each user (0306), a dialogue information selection part (0307), and a dialogue information output part (0308). Note that this system does not have to contain all the functional parts in one case, and is not limited to one configured by only one computer or server.
  • the present system may be configured to be housed in a plurality of cases and function as a whole, or may be configured to function in cooperation with a plurality of computers and servers. Furthermore, in the case where the system is configured of multiple cases, multiple computers, and servers, it does not prevent the system from being installed across borders. This is common not only to this system but also to an idea equivalent to this system as an operation method and an operation program as an operation program. This concept of a system applies throughout the present specification (all of the embodiments 1 to 39).
  • Embodiment 1 User Identification Information Holding Unit
  • the “user identification information holding unit” holds user identification information that identifies a user who uses the SNS.
  • the user identification information held by the user identification information holding unit is user identification information in the interactive health promotion system of the user using the interactive health promotion system.
  • the user identification information is information that can uniquely identify the user without the present system, and for example, a telephone number, an e-mail address, an ID specially set by the user, fingerprint authentication information, voice print authentication information, iris authentication information Information for vein authentication, individual identification code such as communicable portable terminal where user uses SNS, Mac address of communicable portable terminal where user uses SNS, etc.
  • the information that is stored in association with the user identification information is information that the user who is the user registers as user information at the time of use (for example, a telephone number, an e-mail address, an ID that the user specially sets, a name, a date of birth Address, occupation, age, gender, height, weight, average body temperature, pulse rate, respiratory rate, heart rate, exercise volume (hours, quality, form etc), commuting time, commuting distance, commuting method , Presence or absence of alcohol consumption, presence or absence of gym visits, family structure, etc., information for specifying the SNS service used by the user, and an ID used by the user for the SNS service.
  • a life log indicating the physical condition of the user heart rate, pulse rate, respiration rate, body temperature, degree of muscle contraction / relaxation, electroencephalogram, blood flow rate, blood oxygen concentration, blood alcohol content, allergy It may be configured to include one or more of the degree of reaction, the degree of accumulation of fatigue material, and the like. These are acquired from a wearable terminal worn on the body and capable of measuring the condition of the body, or a physical data measuring device which is not worn on the body but has a communication function.
  • the portable memory for example, USB memory, IC card (including a prepaid card having an RFID function), portable disk drive, optical recording medium, porcelain memory, etc.
  • the portable memory can also be obtained from In the case of a prepaid card, it is possible to obtain data indicating the physical condition by receiving information about the physical condition at the time of medical checkup and payment of a treatment fee by a doctor and acquiring this.
  • the user attribute information held in association with the user identification information is configured to be registered by the user at the start of using the interactive health promotion system. With this registration, the interactive health promotion system can be configured to be available.
  • the user attribute information can be configured to be transferred or acquired from another system already used by the user. For example, data of a hospital or the like having a usage history, data held by a facility such as an electronic medical chart system used by a user, a training gym used by a user, a training application used by a user, etc. can be used.
  • SNS user related information acquisition unit acquires, as external information, SNS user related information which is user related information including the speech of the user of the SNS used by the user in association with the user identification information.
  • SNS user related information is one of “external information”, and various information described later may be included in the external information.
  • the SNS user related information is, for example, the user's speech information in the SNS, the user's reaction information to the other person's speech in the SNS, the information on the other person who is set to check the speech in the SNS, the user in the SNS Information on other people who have specified special relationships such as friends, information on the other person's comments that the user is browsing in the SNS, Speak to the other person's user who is in a friend relationship in the SNS, then via the SNS So-called check-in information that sends out whereabouts of the user, photos such as videos uploaded to the SNS, information such as moving pictures, recording information (voice memo) stored in the SNS, call content information performed via the SNS, user within the SNS Purchase related information, location information obtained from SNS, game related information used in SNS (game usage frequency, game win / loss information, game Progress information, game-related friend information, etc., the time zone when the user is active in SNS, the user's behavior when the user is active in SNS (for example, often
  • the SNS user related information includes not only information displayed as characters through the network but also data input and output as voice, images, moving pictures, and the like. Therefore, conversations and silences exchanged over the phone (including smartphones, mobile phones, fixed phones, tablet devices, portable computers, desktop computers, etc.), laughter, loneliness, screams, screams, screams, voice colors etc. are also external information. It may be acquired (it is the same as external information throughout the present specification).
  • “SNS” means, in a broad sense, a service or a website that can construct a social network (person-to-person connection).
  • social networking services are "community-based registration services” that promote and support human-to-human connections, and to promote or streamline communication between individuals. Used for In some cases, it is a system that can not participate without an invitation from existing participants, with an emphasis on close connections. Examples of SNS include "Facebook (registered trademark)", “LINE (registered trademark)", “Twitter (registered trademark)”, “Youtube (registered trademark)”, “Instagram (registered trademark)”, etc. it can.
  • the analysis rule does not have to be a rule for acquiring only the states of “being healthy”, “being ill”, “being cold” as health condition information, Healthy, “relatively healthy”, “very poor physical condition”, “a little disorientation”, “the heat is blowing", “the throat is out”, etc. It may be a rule that can obtain health status information including information indicating the degree and symptoms.
  • Mental health status information can be obtained by feeling that can be obtained from conversation etc. Examples of the feeling are: happy, happy, happy, feeling good, refreshing, satisfied, refreshing, touching, touching, calming, healing, calming An expression that expresses a positive mood, such as excitement, excitement, excitement, nostalgia, love, love, love, fall in love, respect, etc. is in a state of good mental health or in a good specific situation, It can be judged.
  • the mental situation is good, not only bad, but also peace of mind, anxiety, appreciation, astonishment, excitement, curiosity, sexual curiosity, calmness, irritability, wonder (embarrassment), good luck, relaxation, tension, honor , Responsibility, respect, intimacy (intimacy), ashamed (demeanor), desire (motivation), fear, courage, pleasure, remorse, satisfaction, dissatisfaction, remorse, hate, shame, scorn, guilt, murder, hope
  • the analysis rule may be configured to grasp mental situations such as sense of superiority, inferiority, hate, suffering, sadness, sadness, emotion, anger, licking, despair, hate, emptiness as health condition information.
  • Rorschach test is used to analyze what you imagine from what you see through vision, but in this system, not only what you see (feel) through vision, but also abstract in conversation Includes all understandable objects. For example, it may be words such as "park bench”, "crosswalk” and the like. Basically, this method is used using AI or the like to improve the accuracy of correlation estimation between the conversations of many users and estimated health condition information while learning.
  • the analysis rule is preferably a rule for acquiring not only physical health condition information but also health condition information combining physical health condition information and mental health condition information.
  • Physical health information includes physical fatigue, drowsiness, nausea, fatigue, fever, headache, abdominal pain, sore throat, back pain, muscle aches, hangovers, dizziness, high blood pressure, high pulse, shallow blood pressure, blood sugar It is health status information that is judged from the presence or absence of dialogues and videos that complain of pathological symptoms such as high value, obesity, or a disease being treated. According to the physical health condition information, it is judged to be unhealthy if there is no dialogue or video etc. which complains of a pathological symptom, and if there is a dialogue or video etc. which complains about a pathological symptom.
  • health condition information includes exercise amount, respiration amount, walking amount, calorie intake, food intake, food intake, alcohol consumption, water intake, weight, height, body temperature, blood pressure, BMI value, abdominal circumference, Visceral fat, body fat percentage, visual acuity, intraocular pressure, lung function, urine test value, stool test value, blood biochemistry test value, etc. may be used.
  • physical health status information means, according to the definition of WHO, the health status is "Dynamic status of physical, mental, spiritual and social welfare”. “It is not simply the absence of a disease or illness.” Physical health means, among them, “a complete physical, Dynamic (normally active) state,” and only a disease or illness.
  • Physical health status refers to a condition that is not a complete physical, dynamic (normally active) condition, not simply the absence of a disease or illness. Point to something that indicates the situation. Therefore, in the case of being healthy, not being healthy, or in any case, it is information indicating the situation.
  • Mental health status information is mentally good, feeling uplifting, motivated, feeling that you want to challenge something, pleasant, happy, happy, etc. positive mental status And health condition information judged by which of two mental states of negative mental state such as depressed, troubled, sad, anger, aversion, irritability, hunger, etc. is there. According to the mental health condition information, it is judged to be healthy if it is positive, and unhealthy if it is negative.
  • mental health status information is mental health, “Dynamic (normally active) state of complete mental (spirit), spiritual and social (social) welfare, only mental It is not the absence of any major illness or mental illness. ”It is a Dynamic (normally operational) state or spirit of complete mental (spiritual), spiritual and social welfare. Indicate a condition related to the absence of a major or mental illness.
  • the health status information includes "information on the condition about pain", “information on the condition about stress”, “information on the condition about habituation”, “information on the condition about labor productivity”, “so-called population”
  • This may include information on the situation about the mental distance between the robot, robot intelligence such as intelligence, conversational computer, artificial intelligence speaker, and the like.
  • physical condition information and mental health condition information are combined to obtain health condition information. If you are in a mental state, you can not spend the day actively, and you often feel that you are feeling unwell as the physical and mental health of the person, so information that indicates that you are unhealthy as health status information Will be acquired. Alternatively, if physically ill symptoms are observed but the person is in a mentally positive mental state, it is determined to be unhealthy because it is important to be aware of the physical condition and to be treated.
  • the analysis rule also includes a rule for performing analysis from the viewpoint of whether the health status has been improved or the good health status has been maintained from the mid- and long-term perspective. Is preferred. Therefore, it is also necessary to analyze daily variations in health status, but it is judged whether health status has improved, or has been stepped on or deteriorated in the medium term. You need a rule.
  • the “health condition information analysis acquisition unit” acquires health condition information based on the acquired external information associated with the user identification information and the analysis rule associated with the same user identification information. Among the many utterances of the user in the SNS user related information, it is common that a plurality of utterances are mixed from the utterance judged to be healthy by the analysis rule to the utterance judged to be unhealthy.
  • the health condition information analysis acquisition unit acquires the user's health condition information by comprehensively analyzing the plurality of health and unhealthy health condition information acquired by the analysis rules. For example, a method may be considered in which the health condition information obtained by the analysis rule is compared with the number of unhealthy condition information to adopt the larger health condition.
  • the health condition information analysis Analysis in line with the individuality of Therefore, even if the conversation log is similar, if the user is different, the health condition information obtained by analyzing the health condition information may be different. Accumulation of external information such as user's SNS conversations increases the accuracy of analysis, and it is possible that the user's feeling changes with the age, so similar external information of the same user Even when health condition information analysis is acquired, different results may be acquired.
  • Embodiment 1 Dialogue Information Storage Unit stores dialogue information to be transmitted according to the health condition information acquired in association with the user identification information.
  • the dialogue information is stored in a database as any and every conversation that may be spoken in the general society.
  • the example sentence of the conversation which is the basis for giving advice to the user on health promotion or the establishment of health practices, is held particularly deeply.
  • Languages may be stored in a language understood by the user, or dialog information may be stored in a standard language such as Japanese, English, or Chinese, and configured to be translated and selected according to the user's language used You can also Therefore, the foundation is built on the basis of language dictionary database, conversation dictionary database, etc. Furthermore, SNS, information provision site, corporate advertisement site, bulletin board site, telephone call contents, etc. It is preferable to accumulate dialogue information collected from all sources that can be collected. These may include, for example, dialects, gal words, pictograms, emoticons, secret words, coined words, new words, abbreviations, idioms, etc., which are collected by artificial intelligence and gradually improve speech accuracy (intentionally accurate) Preferably).
  • the dialogue information constituting the health promotion advice and the like is a specialized medical term, or using a specific food name, a specific store name, or a coined word. Since technical terms and specific store names and coined words can not always be acquired reliably from the Internet, it is configured so that a special language group can be input by a person directly inputting in the storage unit. Is preferred.
  • the user reflects on the individuality of each user and selects and outputs the dialog information so as to be a natural conversation for the user. It is characterized by having the feeling as if you are in contact with a living human being. Therefore, according to the user's daily conversation, whether to use polite language, rough language with spoken language, or dialects such as Osaka dialect or Hakata dialect, words that mix English in the document It is preferable that the dialogue information be stored so that the form of the conversation can be selected as well as the selection of the conversation content, such as whether it will be lost or not.
  • the dialogue information storage unit may store dialogue information as a dialogue having the same meaning depending on differences in formation of the dialogue.
  • the dialogue information storage unit accumulates only the most basic dialogue information for each meaning, and the dialogue information output unit described later sets the basic dialogue information selected from the dialogue information storage unit to the individuality of the user. I can think of a way to convert it into an interactive form.
  • a rule for converting the basic dialogue information into a dialogue style conforming to the characteristics of each user is included in the user-by-user dialogue information selection rule.
  • “thank you.” “Thank you” “Thank you” “Okini” “Thank you” “Thank you” “Thank you” “Thank you” etc. are all expressions that express gratitude. Only "Thank you” will be saved.
  • the dialog information stored in the dialog information storage unit may be configured to be able to be displayed on the interface monitor.
  • a dialog information storage unit has a dialog information storage unit management means so that management actions such as addition, change and deletion of dialog information can be manually performed from the interface screen on which the stored dialog information is displayed.
  • the dialogue information storage unit management unit is provided as a new configuration.
  • the management action of the dialogue information storage unit is assumed to be performed by a person who manages and provides the interactive health promotion system.
  • the “user-by-user dialog information selection rule holding unit” holds a user-by-user dialog information selection rule which is a rule associated with user identification information for selecting the dialogue information accumulated based on the acquired health condition information.
  • the user-specific dialog information selection rule reflects the individuality of each user in order to make the user feel as if he or she is in contact with a real human being who is concerned about himself. It is a rule for selecting dialogue information so as to be a natural conversation. The form of conversation according to the form of the user's dialogue from the external information, user outgoing information etc.
  • SNS information about the speech by speech, speech by speech, reading record, other SNS users who are registered, etc.
  • the user-specific dialogue information selection rule is configured to be selected according to the health status information based on the external information that may also include the user's response dialogue information, but the goal is to become healthy and maintain health.
  • the goal to be achieved is accumulated in hierarchical structure, judgment based on health condition information, appropriate utterance according to where inferred health condition is located in this hierarchical structure (dialogue information) May be configured to be selected. That is, when the health goal to be achieved is determined, the dialogue information may be selected in association with the health state in the hierarchical structure so that the dialogue information is selected accordingly.
  • the intake status of sugar that is the cause of diabetes can be judged and estimated based on health status information, and sugar intake can be reduced by about 5% compared to the current level As such, dialogue information is selected.
  • dialogue information is selected for users suffering from severe diabetes, as well as selecting dialogue information so as to reduce sugar intake by about 20%, so as to select dialogue information that makes it a habit to take insulin. Configure. That is, even the same diabetes user can be configured such that the dialogue information selected according to the hierarchical position viewed from the final goal of health becomes appropriate.
  • General dialogues that are registered in advance are formally registered, such as polite language, spoken language, gal language, Osaka dialect, Kyoto dialect, Hakata dialect, Nagoya dialect, Hokkaido dialect, Hokkaido dialect, etc.
  • What can recognize the interactive health promotion system as if the user is more familiar and living is the method of assembling an interactive form that can more strongly reflect the user's individuality.
  • the amount of external information accumulated to analyze the user's individuality is small.
  • a default format is automatically selected.
  • the user can select and register an interactive form and start it in the interactive form of the user's preference.
  • it may be configured to automatically select an appropriate interaction type according to the user's attribute.
  • the attributes of the user are age, gender, birthplace, present address, nationality, language used, SNS conversation (dialogue) format, SNS friend conversation (dialogue) format, favorite clothes type, favorite movie type , Favorite book type, favorite celebrity type (talent, actor, politician, writer, singer, entertainer, historical person, announcer, character) and the like.
  • the user In analyzing the format of the dialogue information from the conversation information of the user's SNS, the user is not merely confined by the user's speech format, but by analyzing the conversation format of friends and family whom the user frequently interacts with, the user It is conceivable to assemble another dialogue information selection rule. By analyzing and reflecting the manner in which the conversation partner actually talks everyday, the user can give a sense of security as if speaking to a friend or family member.
  • the dialogue information accumulated from this point of view is a variety of accumulated dialogue information that can be empathic, such as dialogue information that conveys affection, dialogue information that conveys liking, dialogue information that gives up the other party, dialogue information that encourages the other party, etc. Is preferred.
  • the response may be a rule for selecting the response by the dialog information selection unit. Conceivable. That is, it is possible to include such a non-yielding rule (sub-step, sub-rule) or a process not giving up in the user-specific dialogue information selection rule, or a process including this.
  • Embodiment 1 Dialogue Information Selection Unit selects, from the dialogue information storage unit, dialogue-type dialogue information conforming to the characteristics of each user based on the acquired health condition information and the user-specific dialogue information selection rule held. .
  • the dialog information is stored in the dialog information storage unit for each difference in the dialog format, the dialog information matching the dialog format and the dialog content selected by the user-specific dialog information selection rule is selected.
  • the dialog information storage unit when the dialog information is not stored for each difference in the dialog format and the dialog information is stored for each meaning of the content of the dialog regardless of the dialog format, the user-by-user vs.
  • the basic dialogue information selection rule selects the basic dialogue information from the dialogue information storage unit in accordance with the dialogue content specified by the user, and convert the selected dialogue information into the dialogue form matching the dialogue form specified in the user-by-user dialogue information selection rule.
  • the basic dialogue information may indicate not a word itself but a group of words.
  • identification information is given to the dialogue information expressing the feeling of gratitude, and this is selected, and then “thank you”, “thank you”, “thank you”, “big chance”, “thank you” It is configured to select one of expressions such as “Thank you”.
  • the dialog information that is the basis is selected from the dialog information storage unit according to the dialog content specified by the user-specific information selection rule, and the selected dialog information is specified in the user-specific dialog information selection rule It is converted to the interactive form that conforms to.
  • the above work is the selection of dialogue information. This selection is configured to be made instantaneously by the computer. Specifically, when an input from a user is accepted through the SNS, the response is displayed on the screen without giving a margin for the user to close the screen of the SNS. As an example, it is about 1 second or less on average.
  • Embodiment 1 Dialogue Information Output Unit The "dialogue information output unit" outputs the selected dialogue information to the user identified by the user identification information via the SNS.
  • the speed at which the dialogue information output unit outputs the dialogue information is the speed at which the user's input is promptly responded to if necessary. If the user closes the SNS screen, the risk of leaving from the system side not being read is increased. In addition, it is not necessary to always respond immediately, and there may be a kind of transmission that is output with time. For example, in the case of a conversation in which the result of the advice is heard.
  • the output is a portable terminal of the user.
  • the SNS to be output may be an application dedicated to the interactive health promotion system or an SNS service managed and provided by another system that is not dedicated to the interactive health promotion system that the user routinely uses. It is also good.
  • the format of the output is not limited as long as the information can be transmitted to the user, such as characters, illustrations, sounds, images, and moving pictures. In order to make you feel as if you are talking to a real person, it is better to use the SNS service that you use on a daily basis with real people, rather than using dedicated applications. It is effective that the dialogue information output from the interactive health promotion system will be displayed naturally mixedly.
  • the advice from the interactive learning promotion system is found naturally on a daily basis, so it is effective not to have a strong sense of interacting with the system (inorganic computer or server). It is the reason to become.
  • the output from the interactive learning promotion system is set so as not to give unread notification to the status bar or icon of the smartphone using the SNS service of the output destination, for example, or the chat head can not appear. If configured, it is more effective because the above effect can be ensured. On the contrary, since a chat head etc. is immediately visible with a smart phone etc., a feeling of distance with this system becomes small, and is preferable.
  • the dialogue information to be output includes ones including a question form, ones including an advice, a greeting, an anomalous sound, etc., and neither the content nor the form is limited.
  • the output format is not always the same method, but characters, illustrations, sounds, images, moving images, vibrations (The above includes SNS messages, emails, AV devices, etc.), robot operation and sound.
  • an animated character in a display (which may simulate a human being close to the real thing, and the human being may be a teacher, a lecturer, a friend, a relative, or a celebrity or a celebrity employed in an advertisement or campaign)
  • the combination of multiple output methods such as motion / voice / expression of the character, motion / voice / expression of the character of the projection video, room temperature, lighting, etc. may be similar to interaction with a real human, (This example relating to the output format is applied throughout the present specification (embodiments 1 to 39).
  • voice information of the dialogue information to the guest user via the voice interactive health promotion system by generating and holding the person and making the person recognized as a guest user in the interactive health promotion system to receive the voice call. It is also possible to make it the following composition.
  • the guest user is only performing user registration to the interactive health promotion system at a remote location through a voice call.
  • the user terminal is defined as a guest user to distinguish it from the case where the interactive health promotion system is activated, the user is called the calling phone number, voice, name, member at the time of the first voice call.
  • the guest user's attribute information preferences, how to talk, how to make sense, hobbies, etc.
  • the guest user's attribute information accumulated in the past voice calls in the next and subsequent voice calls. It is possible to output dialogue information in which thinking etc. is reflected.
  • the output of the dialogue information is generated by the SNS enabled terminal which is not possessed by the user receiving the voice telephone, and the output as the voice is delivered to the guest user through the telephone. It can be said that it is an output of dialogue information via SNS.
  • the dialogue information output as health promotion advice is dialogue information that encourages exercise based on health therapy, dialogue information that encourages habituation of exercise, or regular intake of supplements and medicines Such as a notice that the time for intake has come and dialogue information that encourages intake, and dialogue information that encourages the purchase of exercise products, supplements, drugs, etc., in order to further promote the user's health, etc. This includes all the advice that leads to health promotion.
  • the output of the dialogue information through the SNS is an output as a speech of a friend or the like of the user participating in the SNS. Therefore, since it is preferable to have a conversation as a friend or the like that looks as unique as possible to the user, it is preferable to use multiple names so that the same name does not overlap between users as much as possible.
  • the name may be freely set at the time of initial user registration.
  • an attribute for determining an element used for conversation selection may be freely set at the time of user registration. For example, gender, age, personality, avatar, clothes, life rhythm, hobbies, etc. of friends who are the system. Furthermore, it is not necessary that one friend is a system, and a plurality of friends may be designed to talk to one user.
  • the conversation between the user and the friend who is the system may be performed as the selected conversation.
  • the user is made to obtain health maintenance, promotion motivation, etc. from conversations between friends etc.
  • the speech of a friend or the like who is the system may be switched according to the position information.
  • a friend or the like in Osaka may be configured to select a conversation on the assumption that a situation (a meeting timing situation) where he has met for a long time since he went to Osaka last time. For example, it is a conversation such as "It has been very fat since we first met.”
  • it may be effective to set a friend or the like which is a common system among a plurality of users. For example, “After you worked with you last time, Mr. Tanaka lost 3 kilos, but you're like a comparison?" Or "If Mr.
  • a friend etc. do not necessarily need to be avatars as a person, and may set various things, such as a mammal, a fish, an insect, and a thing. Further, the avatar may be set to transmit a picture, a moving picture, a picture or the like to the user according to the setting. For example, pictures of meals, landscapes, pictures of an ideal body, videos explaining how to exercise, etc. In addition, you may send information such as equipment, supplements, etc., to promote use.
  • the friends who are the system may give a sense of presence, warmth and civilization by using an avatar schedule in which events are set according to the passage of time, such as going up the stairs of life, to be experienced as an accident. For example, having a cold, having entered a school, having graduated from a school, having a lover, being lover-in-law, getting married, getting divorced, getting licked, fat, skinny, surgery, being late, Mistakes, oversleeping, over-drinking, over-eating, children were born, promoted, changed jobs, retired, grandchildren, etc.
  • FIG. 4 is a diagram showing a hardware configuration of the first embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the "user identification information holding program” holds user identification information as a program constituting the hardware of the first embodiment.
  • the "SNS user related information acquisition program” acquires SNS user related information. This is done via an interface program with the SNS.
  • the "analysis rule holding program” holds analysis rules.
  • the “health condition information analysis acquisition program” acquires health condition information based on analysis based on analysis rules.
  • the “dialog information storage program” stores dialogue information.
  • the “user-by-user dialog information selection rule holding program” holds a dialog information selection rule for each user.
  • the “dialogue information selection program” selects appropriate dialogue information from among the dialogue information accumulated based on the acquired health condition information and the held user dialogue information selection rule.
  • the “dialog information output program” outputs the selected dialogue information. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • non-volatile memory As data, user identification information (user attribute information sometimes associated with it), external information (including SNS user related information), analysis rule, health status information, dialogue information, dialogue information selection rule by user, selection
  • the dialogue information various setting information such as communication not shown, and the like are held in the non-volatile memory, loaded into the main memory, and referred to and used in executing a series of programs.
  • non-volatile memory, main memory, CPU, and interface are connected to a bus line so as to be able to communicate with each other.
  • FIG. 5 is a diagram showing the process flow of the most basic configuration of the first embodiment.
  • a user identification information holding step (0501) for holding identification information of one or more SNSs used by the user, SNS user related information for acquiring SNS related information of the user as external information Acquisition step (0502), analysis rule holding step (0503) for holding analysis rule which is a rule for analyzing the user's health condition from external information, and for acquiring user's health condition information from external information and analysis rule Health condition information analysis acquisition step (0504), dialogue information accumulation step (0505) for accumulating information on countless languages and conversations used on the Internet etc., reflecting the individuality of the user acquired from external information User-specific dialogue information to select health promotion advice according to the user's health status information User-specific dialog information selection rule holding step (0506) for holding the rule, and the user-specific dialog information selection rule held by the user-specific dialog information selection rule holding unit Dialog information selection step (0507) for selecting dialog information suitable for the health condition and personality
  • the interactive health promotion system can acquire information on the browser search history of the user as external information.
  • Embodiment 2 Configuration of the Invention As an example of the configuration of the interactive health promotion system of the second embodiment, as shown in FIG. 6, a user identification information holding unit (0601), an SNS user related information acquisition unit (0602), a browser search history user related information acquisition unit ( 0603), analysis rule holding unit (0604), health condition information analysis acquiring unit (0605), dialogue information storage unit (0606), user-by-user dialogue information selection rule holding unit (0607), dialogue information selection unit (0608), dialogue And an information output unit (0609).
  • the description of the configuration common to the first embodiment is omitted, and the configuration characteristic to the present embodiment will be described.
  • the “browser search history user related information acquisition unit” uses a communication terminal such as a mobile phone, a smartphone, a tablet terminal, a personal computer, etc., in which the user uses the interactive health promotion system, in association with the user identification information. Acquire the browser search history made by the user as external information. “Browser search history user related information” includes information of a product purchased by the user via the Internet, information of a product browsed even if not purchased, site information searched, search word searched, Information on all the activities performed by the user using the communication terminal, such as information on places searched and information on events, is included.
  • Browser search history By acquiring user related information and analyzing it as health condition information, for example, when the user's shopping volume is increasing, it is possible to obtain health condition information that stress tends to be accumulated. it can. For example, according to the browser search history of the user, when the information of food of the season limited fair is searched frequently, the calorie intake amount tends to be excessive, and thus the health condition that it is obese tendency Information can be obtained. For example, when the user is acquiring information searching for information sites such as back pain and stiff shoulders, the user is in a state of feeling pain in his or her hip or shoulder, or he feels discomfort in his or her hip or shoulder.
  • the restaurant visited on the search site (for example, a restaurant with a tag of "I went" instead of "I want to go") is booked from the internet Obtain information from the restaurant) and use it to predict food intake.
  • the ingested food component is used, for example, by analyzing a picture of the food posted on the search site and a menu for prediction. Therefore, means such as image analysis is used for this analysis.
  • it detects the actual application analyzes the course of the travel to which the application has been made, analyzes the calories consumed, calories consumed, food ingredients consumed, and acquires health status information To help.
  • the energy consumed by the elevation difference is predicted using map information.
  • the calorie intake and the food component ingested are predicted from the menu.
  • a search site for public transportation trains, buses, planes, travel plans from the departure place to the destination on foot
  • it consumes for the movement of the determined search route It is used to predict the calories consumed etc. and to obtain health status information.
  • the intake calorie information and the intake food ingredient information from the information of the food which will be consumed in a predetermined period by the purchase history of the online supermarket. It is also conceivable to predict the average energy consumption per day based on the information of exercise related tools purchased on the net (tool for training abs, tools for making muscles, tools for dieting, etc.). In addition to the browser search history, it is also conceivable to obtain the typing amount of the keyboard to predict the calorie consumption.
  • FIG. 7 is a diagram showing a hardware configuration of the second embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs constituting the hardware of the second embodiment shown in this figure the program having the same function as that of the first embodiment has already been described, and hence the description thereof is omitted.
  • the “browser search history user related information acquisition program” newly added in the present embodiment acquires a browser search history as user related information.
  • FIG. 8 is a diagram showing the flow of processing of the most basic configuration of the second embodiment.
  • user identification information holding step (0801) SNS user related information acquisition step (0802), browser search history user related information acquisition step for acquiring the user's browser search history as external information (0803) , Analysis rule holding step (0804), health condition information analysis acquiring step (0805), dialogue information accumulation step (0806), user-by-user dialogue information selection rule holding step (0807), dialogue information selection step (0808), dialogue information output And step (0809).
  • Embodiment 3 ⁇ Embodiment 3 Outline>
  • the invention in this embodiment in addition to the configuration of the first embodiment or the second embodiment, acquires news information related to a user.
  • the description of the configuration common to the first embodiment or the second embodiment is omitted, and the configuration characteristic to the present embodiment will be described.
  • the "news user related information acquisition unit” acquires news information as external information in association with user identification information.
  • News user related information includes news about events in which the user is interested, obtained from SNS user related information, and news about events in the vicinity of the district that is the base of activities such as near the user's residence or near the company, The news of the information providing site registered by the user, the weather news (including the weather forecast) of the area where the user is located, etc. may be considered.
  • the news user related information is not directly related to the type of dialogue or health status information, but is information that plays an important role in multidimensional analysis of the user's health status.
  • the news user related information is not directly related to the health condition information, but it is also effective to reflect it on the content of the health promotion advice.
  • the health promotion advice is associated with an event or related event related to the area in which the user is interested, the possibility of the user performing the health promotion action according to the advice increases. Also, if there are events such as festivals, flea markets, and fireworks events near the user's residence, there will be traffic restrictions on regular running routes, and there will be a lot of traffic There is a possibility that you can not run, so it is possible to suggest running on another route, or advise that you do stretching or muscle training indoors without running on that day.
  • the user may go on a walk by taking a walk on the way to see the new product. It is possible to advise you to have lunch at a store that sells health food in a nearby area.
  • the interaction is not interesting, and the user can not feel civilization from the interactive health promotion system, and can not continue using the health promotion system for the same exchange at all times.
  • it is configured to be able to suggest a model for how to spend holidays and health promotion advice related to recommended outing spots etc. by linking it to familiar events and things that users are interested in, It is possible for the user to enjoy the health promotion behavior, and to make the user recognize as if it is human-like interaction rather than mechanical interaction.
  • weather information of the area where the user is located is acquired as news user related information
  • information such as the temperature of the day, sunny, rain, strong wind, etc. is used for analysis of health condition information.
  • the weather information is "fine weather today, the maximum temperature is 35 degrees Celsius, the humidity is high", as an example of the health status information obtained based on the analysis rule, “heatstroke occurs during daytime outings” "There is a risk.”, "There is a risk that the body will run out of water when going out in the daytime.”
  • healthy information obtained based on the analysis rule in the case of “cloudy today, maximum temperature is 5 degrees Celsius and humidity is low", “There is a risk of hypothermia.” There is a risk of further worsening, "There is a risk of damaging the throat.”
  • Today's weather has strong winds due to typhoons and heavy rains.”, “There is a risk of injury due to splashes.” Or “There is a risk of being covered by river flooding.”
  • weather information is information that plays an important role in multidimensional analysis of the user's health status.
  • FIG. 10 is a diagram showing a hardware configuration of the third embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs constituting the hardware of the third embodiment shown in this figure the programs having the same function as the first embodiment or the second embodiment have already been described, and hence the description thereof is omitted.
  • the "news user related information acquisition program" newly added in the present embodiment acquires news information as user related information.
  • FIG. 11 is a diagram showing the flow of processing of the most basic configuration of the third embodiment.
  • user identification information holding step (1101) SNS user related information acquisition step (1102), news user related information acquisition step (1103) for acquiring news information related to the user as external information
  • Analysis rule holding step (1104) health condition information analysis acquisition step (1105), dialogue information accumulation step (1106), user-by-user dialogue information selection rule holding step (1107), dialogue information selection step (1108), dialogue information output step And (1109).
  • Embodiment Embodiment 4 Outline The invention of this embodiment can obtain the user's life log in addition to the configuration of any one of the first to third embodiments.
  • an exemplary configuration of the interactive health promotion system includes a user identification information holding unit (1201), an SNS user related information acquisition unit (1202), and a life log user related information acquisition unit (1203).
  • the description of the configuration common to any one of the first to third embodiments is omitted, and a configuration characteristic to the present embodiment will be described.
  • the “life log user related information acquisition unit” acquires, as external information, life log user related information which is a life log recorded in the terminal of the user in association with the user identification information.
  • a life log is information that can be acquired by a portable terminal or the like, or information acquired by another external device, such as the number of steps, moving distance, blood pressure, heart rate, blood sugar level, water content, body fat percentage, weight , Height, muscle mass balance, bone density, respiratory rate, vital capacity, blood test results, MRS test results, urine test, blood alcohol concentration, body temperature, muscle contraction / relaxation degree, brain wave, blood flow velocity, blood Medium oxygen concentration, degree of allergic reaction, degree of accumulation of fatigue substance, etc.
  • These can be acquired from a wearable terminal worn on the body and capable of measuring the condition of the body, or a physical data measuring device which is not worn on the body but has a communication function.
  • the portable memory for example, USB memory, IC card (including a prepaid card having an RFID function), portable disk drive, optical recording medium, porcelain memory, etc.
  • the portable memory can also be obtained from In the case of a prepaid card, it is possible to obtain data indicating the physical condition by receiving information about the physical condition at the time of medical checkup and payment of a treatment fee by a doctor and acquiring this.
  • the user attribute information held in association with the user identification information can be configured to be registered by the user at the start of using the interactive health promotion system. With this registration, the interactive health promotion system can be configured to be available.
  • the user attribute information can be configured to be transferred or acquired from another system already used by the user. For example, data of a hospital or the like having a usage history, data held by a facility such as an electronic medical chart system used by a user, a training gym used by a user, a training application used by a user, etc. can be used.
  • the prior art numerically analyzes the numerical information acquired from the life log to promote the health situation. Therefore, the process of acquiring the numerical information and the peculiarity of the contents of the acquired numerical information have become problems.
  • the interactive health promotion system does not analyze the information acquired from the life log numerically, but analyzes the health of the user's "feeling" in such behavior or state.
  • the interactive health promotion system obtains health status information from physical health and mental health. This physical health is numerical health, and mental health is mental health. For example, when mentally unstable, the pulse may be fast, arrhythmia may occur, the breathing may be shallow and the respiratory rate may be increased, the heart rate may be accelerated, or the temperature may increase rapidly.
  • FIG. 13 is a diagram showing the hardware configuration of the fourth embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs constituting the hardware of the fourth embodiment shown in this figure the programs having the same function as any one of the first to third embodiments have already been described, and thus the description thereof is omitted.
  • the “life log user related information acquisition program” newly added in the present embodiment acquires the user's life log as user related information.
  • Acquisition of life log is not limited to acquisition from a terminal using SNS.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information sometimes associated with it
  • external information including SNS user related information, life log user related information
  • analysis rules including SNS user related information, life log user related information
  • health status information including SNS user related information, life log user related information
  • dialogue information classified by user
  • a dialogue information selection rule selected dialogue information, various setting information such as communication not shown, etc.
  • FIG. 14 is a diagram showing the flow of processing of the basic configuration of the fourth embodiment.
  • the hardware configuration of the fourth embodiment also has the user identification information holding step (1401), the SNS user related information acquisition step (1402), and the life log information related to the user as external information in the nonvolatile memory.
  • the invention in this embodiment can obtain a response from the user in addition to the configurations described in the first to fourth embodiments.
  • a user identification information holding unit (1501), an SNS user related information acquisition unit (1502), an analysis rule holding unit (1503), health Situation information analysis acquisition unit (1504), dialogue information storage unit (1505), dialogue information selection rule holding unit for each user (1506), dialogue information selection unit (1507), dialogue information output unit (1508), response dialogue information acquisition unit And (1509).
  • a user identification information holding unit (1501)
  • an SNS user related information acquisition unit (1502)
  • an analysis rule holding unit (1503
  • health Situation information analysis acquisition unit (1504
  • dialogue information storage unit (1505
  • dialogue information selection rule holding unit for each user (1506
  • dialogue information selection unit (1507
  • dialogue information output unit (1508
  • response dialogue information acquisition unit And (1509
  • the “response dialogue information acquisition unit” further includes a response dialogue information acquisition unit that acquires response dialogue information for the outputted dialogue information.
  • Response dialogue information refers to the user's response to the health promotion advice output from the interactive health promotion system, sending to SNS, response directly input to the interactive health promotion system, health promotion The life log on the action taken by the user after the advice, etc. corresponds to the response dialogue. Therefore, the response dialogue information is not limited to the verbal information, but also includes behavioral information and numerical information such as blood pressure and blood glucose level.
  • FIG. 16 is a diagram showing a hardware configuration of the fifth embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs constituting the hardware of the fifth embodiment shown in this figure the programs having the same function as any one of the first to fourth embodiments have already been described, and hence the description thereof is omitted.
  • the “response dialogue information acquisition program” newly added in the present embodiment acquires response dialogue information corresponding to the outputted dialogue information.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information sometimes associated with it
  • external information including SNS user related information
  • analysis rule analysis rule
  • health status information e.g., dialogue information selection rule by user, selection
  • the dialogue information, response dialogue information, various setting information such as communication not shown, etc. are held in the non-volatile memory, loaded into the main memory, and referred to and used in executing a series of programs.
  • FIG. 17 is a diagram showing the flow of processing of the most basic configuration of the fifth embodiment.
  • user identification information holding step (1701) SNS user related information acquisition step (1702), analysis rule holding step (1703), health condition information analysis acquisition step (1704), dialogue information storage step (1705)
  • Dialog information selection rule by user (1706) dialogue information selection step (1707), dialogue information output step (1708), response dialogue information acquisition step for acquiring user's response dialogue information to the outputted dialogue information And (1709).
  • Embodiment 6 Embodiment 6 Outline In addition to the configuration described in the fifth embodiment, the invention in the present embodiment determines from the user's response to the dialog information whether the dialog information provided from the interactive health promotion system is valid dialog information for the user. It has the function to judge.
  • Embodiment 6 Configuration of the Invention One example of the configuration of the interactive health promotion system of the sixth embodiment is, as shown in FIG. 18, a user identification information holding unit (1801), an SNS user related information acquiring unit (1802), an analysis rule holding unit (1803), health Situation information analysis acquisition unit (1804), dialogue information storage unit (1805), dialogue information selection rule holding unit for each user (1806), dialogue information selection unit (1807), dialogue information output unit (1808), response dialogue information acquisition unit (1809), effectiveness judgment rule holding unit (1810), dialogue information validity judgment unit (1811)
  • the description of the configuration common to the fifth embodiment is omitted, and the configuration characteristic to the present embodiment will be described.
  • the “validity determination rule holding unit” holds a validity determination rule that is a rule to determine whether the response dialogue information acquired for the outputted dialogue information is valid.
  • the effectiveness judgment rule determines that the output dialogue information is valid only when the user is performing a health promotion action that matches the proposed content, specified by the output dialogue information, and promotes health other than that. If the behavior is not taken or the action promoting health is taken, it is determined that the output is not effective.
  • the effectiveness judgment rule has a background purpose of how to improve or maintain the health condition based on the health condition information, and whether there has been positive behavior or thinking to achieve the background purpose, It is a rule to judge from the point of view. Therefore, words, pictures, videos, phrases, and lifelogs (including differences) that should be determined to have a positive effect or no effect, or an adverse effect depending on the background purpose are stored. It is configured to search the content of the response dialogue information (dialogue, picture, video, life log) based on the stored words and the like to determine the validity. Also, not only whether a word is included, but context analysis can be performed to determine whether the background purpose is positive or negative.
  • background purpose is a person who uses or designs this system based on his / her philosophy, but generally refers to information defining a state in which "the human health is”.
  • This definition may be the value or range of values of various physiological information, may be the frequency of occurrence of words that would be emitted by a healthy person, or may be the frequency of occurrence of words, if it is a healthy person. It may be the frequency of occurrence of braille.
  • the upper side of the blood pressure is set to 140 or less as the "blood pressure target value”.
  • BMI value 25 or less
  • Abdominal circumference make 85 centimeters or less for men, 90 centimeters or less for women, visceral fat 100 square centimeters
  • the body fat percentage is 20% or less for men, 28% or less for women, "eyesight” is between 0.7 and 2.0
  • ocular pressure is 10
  • Urine test value (+-) Ketone body (-) Urine protein Sugar (-) occult blood reaction (+-) urobilinogen (+-) urine specific gravity between 1.0101 and 1.025, ph between 4.8 and 7.5, urine recent (-)
  • the mental health situation is good, not only bad, but also relief, anxiety, appreciation, startle, excitement, curiosity, sexual curiosity, calmness, irritability (irritability), wonder (embarrassment), good luck, relaxation, tension, Honor, responsibility, respect, closeness (intimacy), ashamed (demeanor), desire (motivation), fear, courage, pleasure, remorse, satisfaction, frustration, remorse, hate, shame, contempt, ashamedy, guilt, murderous intent, expectation
  • There may be a configuration that ranks and holds mental situations such as sense of superiority, inferiority, hate, suffering, sadness, sadness, emotion, anger, hate, despair, hate, emptiness and the like.
  • the anxiety rank of the mental health status information is B rank or more which is one higher than the middle as a background purpose. It is.
  • These high-level concepts are the high-level purpose of making the body a healthy body by improving the habits of daily life and maintaining it.
  • External information obtained in connection with the user is converted into information that can be evaluated from the point of view of the background purpose.
  • the background purpose and the stored response dialogue information analysis content are configured to be associated in a many-to-many relationship. For example, "well slept" is determined to be positive if it is a normal sleep time zone, and it is determined to be negative if it is an activity during working hours. In the case of analyzing a picture or a picture, a picture analysis program or a picture analysis program is used.
  • N-dimensional is the number of types of feature quantities of the picture or video, and as the number of dimensions is larger, more accurate estimation is possible. Therefore, the meaning of the picture or the picture can be acquired more accurately, and the judgment of the validity judgment rule thereafter becomes more accurate.
  • the validity judgment is performed in the order of obtaining meaning and evaluating the validity of the obtained meaning in relation to the background purpose.
  • the action of the user Since the approximate value of the content of the advice is 100%, it is the highest rating 5 in the five-step rating. If you follow the advice but do something different or if it contradicts the advice that is not included in the advice, the approximation between the user's action and the content of the advice will not be 100%, so 90% It is 80% from the above, and it is 4 which is high in the 5-grade evaluation but not the highest.
  • the approximate value of the user's action / thought and the content of the advice is 50 From 70% to 70%, in a five-point evaluation, the effect of a person who has a certain level of 3 can not be evaluated as exceptionally good. If the user does not follow the advice but does not think of any action that contradicts the special advice (ie, there is no response to the advice or a situation in which the advice is being ignored), The approximate value is from 20% to 40%, and it is 2 that indicates that the expression is worthless in the 5-level evaluation.
  • multiple elements such as advice, questions, and guidance dialogues below may be included in one dialogue information.
  • a synergetic effect or an inhibition effect of the combination may occur. Therefore, a configuration may be considered in which the degree of synergy effect and the rule for calculating the degree of inhibition are also included as the contents of the effectiveness judgment rule.
  • the effectiveness of the dialogue information can be determined also for the guidance dialogue which is not the advice itself but the dialogue used to increase the effectiveness of the advice.
  • a guided dialogue of the type that brings attention to the system that is the speaker a guided dialogue of the type that gives a sense of favor to the system
  • a guided dialogue of the type that brings interest to the system It has a kind of guided dialogue that causes some association based on the dialogue from the system, a kind of guided dialogue that gives some desire to the dialogue from the system, and a feeling that it tries to make some comparison on the dialogue from the system
  • Type of guided dialogue type of guided dialogue that makes you feel certain about the dialogue from the system, and type of guided dialogue that makes you feel to make any decision to the dialogue from the system, etc.
  • the system may not assign all of these types of guidance interaction attributes, and assigning one or more of these types enables effective statistical processing.
  • these types may be stored in the dialog information storage unit in association with the dialog identification information.
  • a configuration may also be considered in which the effectiveness is determined with respect to the timing of the output of the dialogue information and the timing between the dialogues.
  • the method of judging the effectiveness of the guidance dialogue information is also carried out by numerical evaluation similarly to the dialogue information including the advice.
  • the numerical value of the numerical evaluation can not be judged by the proximity of the user's action and the content of the advice because the action corresponding to the dialogue is not decided like the dialogue information including the advice. Elements that can be used for evaluation also become more complex. Since the action of the user including the advice is at the end of linking the dialogue information not including the advice, when the user follows the advice as a result, the flow of the dialogue leading there is effective for the user It can be evaluated.
  • this system is a system that also learns the combination of dialogue information, the flow of dialogue leading up to advice (guided dialogue), and selection, it is possible for the user's non-response and negative attitude Then, it is possible to determine the validity of the selected dialogue information and continue the selective output of the dialogue information effective for the user. For example, in the case where the dialogue information outputted by the user with respect to the dialogue outputted from the system is read but unresponsive, or when the unread time of the outputted dialogue information is long, However, if they do not respond at all, it is considered that the output of timing that is undesirable for the user, the output of undesirable tone, the output from an undesirable avatar, etc.
  • the effectiveness when done is high, it is possible to make an evaluation such as the flow of dialogue that is undesirable for the user, or the selection of dialogue style that is unfavorable for the user. . It is possible to obtain the statistical effectiveness of the dialogue for the negative reaction based on the effectiveness obtained from such negative reaction information of each user.
  • the effectiveness of the dialogue to negative reaction is different from general effectiveness, and the time zone in which the negative reaction is often seen, the timing between dialogues, the tone of dialogue, the avatar used for dialogue ( Attribute of the user, the nature of the user, environmental factors, etc., the effectiveness information for the non-general environment of the user when the dialog information is output in an environment different from the general environment. That is, they often do not respond to meal times, often do not respond to days when they are angry with their boss, often do not respond to days when they quarrel with friends, often do not respond to time to wake up, Etc can be obtained as the effectiveness.
  • the response dialogue information acquisition unit is configured to have negative dialogue information acquisition means.
  • the dialogue information validity judgment unit is configured to have a negative dialogue information validity judgment means. Further, as described above, when judging the effectiveness of the dialogue information, it is also possible to configure so as to judge the effectiveness for each environmental factor. Therefore, the effectiveness of the dialogue information is also obtained for each environmental factor.
  • the user's personality is diagnosed according to various questions for the user, the response information from the user, the utterance not including the question for the user, and the response information from the user for the response, and the character is used as a user attribute It is possible to hold it.
  • character diagnosis rules may be stored in the present system and the character may be diagnosed according to the dialogue information and the response information from the user. It is also possible to use a commonly used personality diagnostic test for this.
  • Questionnaire methods, projection methods and work inspection methods are available as personality diagnostic tests.
  • the questionnaire method is a test method in which the subject answers the question items and diagnoses the character by scoring the answer results.
  • This test includes five major factor personality tests, major five factor personality tests for children and students, YG personality test (Yatabe-Gilford personality test), MMPI (Minnesota multifaceted personality list), MPI (Mozley personality test), egogram and so on.
  • YG personality test Yatabe-Gilford personality test
  • MMPI Minnesota multifaceted personality list
  • MPI Mozley personality test
  • egogram egogram and so on.
  • As a projection method there is a test method that requires a subject to achieve some task using relatively vague stimuli.
  • Rorschach test TAT (subject theme test), Baum test (tree test), SCT (text completion method test), P-F study (picture frustration test), CPT (color pyramid test) and the like.
  • the work test method is a test method which causes a subject to perform a certain work and diagnoses a character from the result. For example, there are the Uchida-Klepelin mental test and the Bourdon extinction
  • ⁇ Type of personality> There are various types of character types. For example, in temperament typology, “Circulating temperament: alternating between sociable and quiet times, divisional temperament: non-sociable, both unnoticeable and unnoticeable, sticky temperament: censorship, doing As the classification such as “It's hard to work” or Jung's classification, "Extroverted temperament: Interest in things in the outside world. Environmental adaptation is quick.
  • Inward temperament that tends to be matched (flowed) with surrounding opinions Internal Focus on subjective factors in the world, thoughtful, strong tendency not to be influenced by surrounding opinions, thinking temperament: strong ability to catch things consistently with intelligence, emotion: strong tendency to catch things, like dislike , Intuition temperament: strong ability to perceive the potential behind things, sensory temperament: perceptual function due to physiological stimulation, or classification as “dirty,” classified as “heroic type, sensual type, meditation type” Do Classification as "Theoreist, business man, essay, power man, religious person, member of society” as Spranger's classification, or "Receptive, Exploitative, Storage, Marketly” as Erich ⁇ Fromm classification Classification as "productive” or as Karen Honai's classification as "dependent, offensive, separable”, or as classification of enneagram, "critician, helper, executor, artist, observation” , Faithful family, passionate people, challengers, mediators, or as classification of Noguchi's Haruki's body classification, "upper and lower
  • character classifications are held as user attributes, and the dialogue information and the response information are statistically analyzed for each of the character classifications, and there is any response information to any dialogue information (including the introduction dialogue), By analyzing whether the effectiveness of the dialogue information is judged, it is judged whether it is effective if the introductory dialogue is held (dialogue selection) even if there is a negative reaction to each attribute. it can. By judging the effectiveness of the guidance dialogue and the evaluation for the negative reaction of the user, it is possible to more accurately reflect the user's attributes in the above-mentioned non-give-up rule and / or the non-give-up process, which makes the user persistent It is possible to enhance the system of dialogue method of attacking with that kind of hand.
  • Selection of dialogue information based on validity judgment rules according to the character of the user makes it possible to change the selection, the output mode and the output form of the dialogue information to be selected until the user's positive response is elicited. It is possible to output dialog information tenaciously to the user who makes a response and to lead an affirmative response. As a result, it is possible to make the positive response continue, and it is possible to make it possible for the user to naturally make a positive response.
  • the user attribute information is configured to be held in a user attribute information holding unit or the like in association with the user identification information, but the user attribute information is a user based on the dialogue information, the response information, and the user attribute information judgment rule.
  • the user attribute information held in the attribute information holding unit may be updated.
  • a character diagnosis test to be described later may be performed regularly or irregularly (using character diagnosis dialogue information or the like) to update the held user attribute information.
  • a score is stored for each personality type and then a median is assigned or a questionnaire is given to the user and the questionnaire result is retained.
  • the character may be configured to analyze the conversation information of the SNS by the conversation information analysis unit based on the conversation information analysis rule to determine the character. Since huge conversations with friends etc. are accumulated in SNS, this can be used effectively. Furthermore, it may be configured to analyze the reading tendency introduced in the SNS, the tendency of the preference of the movie, the preference of the music, the taste, the favorite entertainer or the celebrity, and the like to determine the character. Furthermore, it is possible to analyze the place where the user checked in, the photograph in which the user himself or herself is reflected, or the like and diagnose the character.
  • Places to check in include commercial facilities (department stores, supermarkets, convenience stores, electronics stores, fast fashion, beauty salons, beauty salons), entertainment facilities, stadiums, restaurants, museums, parks, stations, ports, airports, national parks, You can analyze the character in public parks etc. For example, whether it is active, shopping enthusiasts, or something like that.
  • photographs it is possible to analyze characters based on whether there are many group photographs, many photographs of one person, many scenery photographs, and many photographs of food.
  • the character analysis rules can be designed according to the design policy. It is also possible to analyze the character of the user according to the character of the friend connected by SNS.
  • Embodiment 6 Dialogue Information Validity Judgment Unit
  • the “dialogue information validity determination unit” determines the validity of the dialogue information based on the output dialogue information, the response dialogue information acquired for the dialogue information, and the validity determination rule. The case where the user's response dialogue information with respect to the outputted dialogue information matches is the most effective, and the closer it is, the less effective is.
  • FIG. 19 is a diagram showing a hardware configuration of the sixth embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the program which operates in common with the fifth embodiment has already been described, and hence the description thereof is omitted.
  • the “validity determination rule holding program” newly added in the present embodiment holds the validity determination rule.
  • the "dialogue information validity judgment program” judges the validity of the dialogue information outputted based on the validity judgment rules.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information sometimes associated with it
  • external information including SNS user related information
  • analysis rule health status information
  • dialogue information dialogue information selection rule by user
  • selection Dialogue information response dialogue information
  • validity judgment rules validity judgment results
  • various setting information such as communication not shown, etc.
  • FIG. 20 is a diagram showing the flow of processing of the most basic configuration of the sixth embodiment.
  • user identification information holding step (2001) SNS user related information acquisition step (2002), analysis rule holding step (2003), health condition information analysis acquisition step (2004), dialogue information storage step (2005) Dialog information selection rule by user (2006), dialog information selection step (2007), dialog information output step (2008), response dialog information acquisition step (2009), validity judgment rules for holding validity judgment rules And holding step (2010), and a dialog information validity determination step (2011) for determining the validity of the dialog information from the response dialog information.
  • the invention in this embodiment has, in addition to the features of claim 6, a rule for statistically processing the effectiveness of the dialogue information of a plurality of users in the dialogue information validity judgment unit.
  • Embodiment 7 Configuration of the Invention One example of the configuration of the interactive health promotion system according to the seventh embodiment is, as shown in FIG. 21, a user identification information holding unit (2101), an SNS user related information acquisition unit (2102), an analysis rule holding unit (2103), health Situation information analysis acquisition unit (2104), dialogue information storage unit (2105), dialogue information selection rule holding unit for each user (2106), dialogue information selection unit (2107), dialogue information output unit (2108), response dialogue information acquisition unit (2109), validity judgment rule holding unit (2110), dialogue information validity judgment unit (2111), validity statistical processing rule holding means (2112), statistical dialogue information validity information acquiring means (2113) Clearly
  • the description of the configuration common to the sixth embodiment is omitted, and the configuration characteristic to the present embodiment will be described.
  • the “effectiveness statistical processing rule holding means” holds an effective statistical processing rule, which is a rule for statistically processing the effectiveness of interaction information of a plurality of users for each attribute common to at least a population.
  • the effectiveness of the dialog information for that particular user from the response dialog information generally returned in response to the dialog information output to a specific user as processing in the dialog information validity judgment section already described It is conceivable to judge individually. However, although the effectiveness of the dialogue information can be judged in relation to individual individuals, statistical effectiveness can also be judged for a group.
  • the population is, for example, a Japanese national
  • the method of acquiring user attributes is described in the first embodiment, the fourth embodiment, and the sixth embodiment.
  • this system it is premised that some attribute information of the user is held in association with the user identification information. Health status information can also be included in this.
  • the accuracy of the dialogue found from the response information to the dialogue information of the individual is further improved It becomes possible to narrow down (select) valid dialogue information.
  • Dialogue information Statistically processed validity information is acquired for each user attribute. Therefore, by updating the user-specific dialog information selection rule of the user identified by the user identification information having the user attribute, the system can be updated as needed so that the dialog information can be selected according to the user attribute. .
  • the weighting can be used to determine the order of high effectiveness. Since it is considered more effective to weight the judgment results of individuals individually, it is effective, for example, to weight information on dialogue information judged to be effective in individuals, and information on dialogue information judged to be effective by statistical processing. It can be considered to incorporate in the user-by-user dialogue information selection rule a weighting of about 7: 3, 6: 4.
  • the “effectiveness statistical processing rule” is a rule for acquiring statistical effectiveness of a certain dialogue information, and a rule for determining the sameness of dialogue information different for each user arranged in accordance with the user attribute. , Is composed of two. In this system, the format of the dialogue information to be output is converted according to the characteristics of the user, so the same "Please run” message is converted to "Let's run” or "Not run?" Or, it has been converted as "Please return to your home in 5 minutes.” If it is not determined that the output to each of these users with different expression methods has the same identity as "Please run”, aggregate the data group that is the population for performing statistical processing from each user's reaction I can not do it.
  • the conceptual or expressive width of this aggregation can be set based on the operation policy of the system.
  • This width may also be configured to be selectable hierarchically.
  • the highest level is the “intention” for the user of the system, and there is “action” that the user wants to cause to the lower level of the “intention”.
  • There are “speaking (dialogue)” and further, there are various expressions of subordination, polite expression, respected words, equal words, imperative forms in the standard word under it, and further there are various expressions according to dialect under that, further below it.
  • the statistical dialogue information validity judgment information can be configured to be able to judge statistical validity also for the guidance dialogue and the negative reaction of the user.
  • the “statistical dialogue information validity information acquiring means” statistically compares the effectiveness of the dialogue information to at least the population statistically based on the dialogue information of the plurality of users and the validity statistic processing rules held. Some acquire statistical dialogue information validity information judged for each common user attribute. This is because “one part is for each common user attribute” can rarely form a common population for all user attributes. However, depending on the system configuration, statistical processing may be performed on a population that is common to all user attributes. This is because the effectiveness of the dialogue information tends to be determined according to the user attribute, in particular, the character (characteristics) of the user, the gender, the age, and in some cases the residential region or the nationality.
  • the user is classified into each type shown in the "type of character” described above to statistically process the effectiveness of the dialogue information, or the degree of fitting to various characters shown in the "type of character” is quantified.
  • the effectiveness of the dialogue information can be statistically processed. By performing such statistical processing, it is determined what kind of dialogue information is effective for the user belonging to each character. Similar processing can be performed on “sex”, “age”, “residential area”, and “nationality”. Furthermore, statistical processing may be performed for any combination of "character”, “sex”, “age”, “residential area”, and “nationality” to grasp the tendency of the effectiveness of dialogue information.
  • the dialogue information is statistically processed by adding the attributes of the dialogue information (forced strength, tone strength, clearness of intention, timing when the strongest intention is uttered, etc.) to the dialogue information. It is also possible to determine what kind of attribute dialogue information has validity based on the attribute attached to the dialogue information.
  • the meaning of “per part of the user attribute common to the population” means the present embodiment (embodiments 17, 17, 25, 32, 36, and embodiments related thereto).
  • Statistical dialogue information validity information is a result of processing statistically, according to user attributes etc. effectiveness of dialogue (from low effectiveness to high effectiveness) and various dialogue information having each effectiveness It is information that expresses the number of types of as a function, and is generally normally distributed. In other words, the number of dialog information with the effectiveness "medium” is the largest (the number of types of dialog information that is the average of the effectiveness is the largest), and conversely the number of dialog information with the effectiveness "high” and the effectiveness "low”. Is a data group distributed so as to decrease. By using this data, it can be known what kind of conversation information exerts what degree of effectiveness, and it can be used as a computer.
  • FIG. 22 is one example of statistical dialogue information validity information.
  • the effectiveness is positive as it goes to the right from the origin, and the effectiveness becomes negative as it goes to the left from the origin.
  • the vertical axis indicates the number of types of dialogue information, and the higher the position is from the origin, the larger the number of types.
  • the number of representations (number of types) of the dialogue information to the extent that the validity is recognized for a while is the highest. It will be the top.
  • FIG. 23 is a diagram showing a hardware configuration of the seventh embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs constituting the hardware of the seventh embodiment shown in this figure the program which operates in common with the sixth embodiment has already been described, and hence the description thereof is omitted.
  • the “effectiveness statistical processing rule holding program” newly added in this embodiment holds the effective statistical processing rules.
  • the “statistical dialogue information validity information acquisition program” acquires statistical dialogue information validity information based on the validity statistical processing rules. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information sometimes associated with it
  • external information including SNS user related information
  • analysis rule health status information
  • dialogue information dialogue information selection rule by user, selection Dialogue information
  • response dialogue information validity judgment rules, validity judgment results
  • validity statistical processing rules statistical dialogue information validity information, various setting information such as communication not shown, etc.
  • FIG. 24 is a diagram showing a process flow of the most basic configuration of the seventh embodiment.
  • user identification information holding step (2401) SNS user related information acquisition step (2402), analysis rule holding step (2403), health condition information analysis acquisition step (2404), dialogue information accumulation step (2405) Dialog information selection rule by user (2406), dialogue information selection step (2407), dialogue information output step (2408), response dialogue information acquisition step (2409), validity judgment rule retention step (2410), dialogue Information validity judgment step (2411), validity statistics processing rule holding substep (2412) for holding rules for statistically processing validity of dialogue information of a plurality of users in a dialogue information validity judgment unit, a plurality of users Interaction information and the effectiveness statistics processing rules that are retained Zui, a statistically interactive information validity information acquiring substep for acquiring the statistical dialog information validity information determines the validity of statistical interactive information (2413), consisting of.
  • the invention in this embodiment has, in addition to the configuration of the sixth embodiment, a function of using AI to update a rule for selecting health promotion advice from the effectiveness of the outputted health promotion advice.
  • FIG. 25 is a conceptual view showing an outline of the function of the AI in the present embodiment.
  • the present interactive health promotion system holds user-specific dialogue information selection rules reflecting individual characteristics. The personal characteristics of each user reflected here are reflected in both the form of dialogue information such as verbal wording during conversation and the contents of dialogue information which is health promotion advice contents corresponding to health condition information. Become.
  • FIG. 25 is a diagram conceptually showing a process of selecting one piece of interaction information from among a plurality of pieces of interaction information, and changing the rule of selection in accordance with the user's response to the selection.
  • the dialogue information group is taken on the horizontal axis (2501) and the effectiveness of the dialogue information is taken on the vertical axis (2502)
  • the effectiveness of the dialogue information is expressed in a corrugated waveform (2503).
  • the most effective dialogue information is the highest peak (2504) of wave peaks.
  • the dialogue information around the peak of the mountain is synonymous dialogue information, and its effectiveness becomes gradually lower as it goes away from the apex.
  • the dialogue information selection rule first determines which dialogue information of the dialogue information group area (2505) is selected as rough dialogue information, and the most effective one of the selected dialogue information group areas is selected. select. By selecting and outputting the dialogue information, it is possible to acquire the validity of the selected dialogue information by acquiring the user's response dialogue information. As compared with other dialogue information stored in the dialogue information storage unit, the option whose validity has been confirmed from the response dialogue information has higher certainty of the validity of the selection. Therefore, the selection rule is updated so that the top of the mountain is at a higher position (2506). As compared with other dialogue information stored in the dialogue information storage unit, the option confirmed to be invalid from the response dialogue information is less certain in the validity of the selection.
  • the selection rule is updated so that the top of the mountain is at a lower position (2507) before the selection.
  • the dialog information is selected by combining already acquired rules having similar health status information (pseutically Form a pile of dialogue information and validity, and select dialogue information at the top).
  • a new rule corresponding to the response result to the output dialogue information is acquired (the pseudo dialogue information group and the validity group are corrected and reconstructed according to the actual reply dialogue information).
  • the effectiveness may be configured to be held separately for the effectiveness determined based on the health condition information, the effectiveness determined based on other response dialogue information, and the information based thereon. Further, the effectiveness may be expressed as frequency to be selected as dialogue information, and the number of times to be selected as dialogue information during guidance dialogue. Further, the validity may be configured to be associated according to the avatar as the speaker and the type of speech.
  • Embodiment 8 Configuration of the Invention One example of the configuration of the interactive health promotion system according to the eighth embodiment is, as shown in FIG. 26, a user identification information holding unit (2601), an SNS user related information acquisition unit (2602), an analysis rule holding unit (2603), health Situation information analysis acquisition unit (2604), dialogue information storage unit (2605), dialogue information selection rule holding unit for each user (2606), dialogue information selection unit (2607), dialogue information output unit (2608), response dialogue information acquisition unit (2609)
  • the description of the configuration common to the sixth embodiment or the seventh embodiment is omitted, and the configuration characteristic to the present embodiment will be described.
  • FIG. 27 is a conceptual diagram showing an outline of the operation of AI (Artificial Intelligence) that updates the selection rule in the eighth embodiment.
  • AI Artificial Intelligence
  • dialogue information such as wording in conversation, the contents of dialogue information corresponding to health status information, the timing of outputting dialogue information, the output interval of dialogue information, guidance It will be reflected in the arrangement of the dialogue, the process which does not give up (the repetition of the dialogue information of the same intention), the choice of the avatar etc which outputs dialogue information, etc.
  • the health status information D (2708) that has not been acquired so far is the difference between the specific content of the health status information B and the physical health, the difference between mental health and the difference between 1 and the sleeping time. But there is a match.
  • the physical health is the same as the specific content of the health condition information A, and the other is different.
  • the specific content of the health status information C is the same as the sleep time, and the mental health values are similar, and the rest are different. From the above information, rules 1, 2 and 3 can be mentioned as related rules, but on the basis of rule 2 with the most similarity to the information, "walk to the station ahead one turn for reversion and return Dialog information (2709) is selected and output.
  • response dialogue information acquisition unit acquires response dialogue information (2710) that "I found a bar with a good feeling and drank" in response to the outputted dialogue information, I am changing my mood, but I take a walk. Since the effectiveness is low in relation to prompting calorie consumption, two points (2711) are obtained as a result of the dialog information validity judgment. Based on the result of this dialog information validity judgment, when health status information D is obtained, a new rule is to select the dialog information "Let's go back to the station one step ahead for change of mind. (2712) is acquired, the update user classified dialogue information selection rule is acquired, and the user classified dialogue information selection rule holding unit is held and the user classified dialogue information selection rule is updated.
  • FIG. 28 is a diagram showing a hardware configuration of the eighth embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs constituting the hardware of the eighth embodiment shown in this figure the programs which operate in common with the sixth embodiment or the seventh embodiment have already been described, and hence the description thereof is omitted.
  • the "user-by-user dialog information selection rule update program" newly added in the present embodiment updates the user-by-user dialog information selection rule based on the validity determination result.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information sometimes associated with it
  • external information including SNS user related information
  • analysis rule health status information
  • dialogue information dialogue information selection rule by user
  • selection The dialog information, response dialog information, validity judgment rule, validity judgment result, update user dialog information selection rule, various setting information such as communication not shown, etc. are held in non-volatile memory and loaded to main memory. Is referred to and used when executing the program of
  • FIG. 29 is a diagram showing a process flow of the most basic configuration of the eighth embodiment.
  • user identification information holding step (2901) SNS user related information acquisition step (2902), analysis rule holding step (2903), health condition information analysis acquisition step (2904), dialogue information storage step (2905) Dialog information selection rule by user (2906), dialogue information selection step (2907), dialogue information output step (2908), response dialogue information acquisition step (2909), validity judgment rule retention step (2910), dialogue The information validity judgment step (2911), and the user-specific dialogue information selection rule updating program (2912) for updating the user-specific dialogue information selection rule based on the acquired dialogue information validity judgment result.
  • the invention according to the present embodiment in addition to the feature described in the seventh embodiment, updates the dialog information selection rule by user based on the acquired statistical dialog information validity information, thereby a dialog according to the individuality of the user It is possible to select information.
  • the description of the configuration common to the seventh embodiment or the eighth embodiment is omitted, and the configuration characteristic to the present embodiment will be described.
  • Statistical user-specific dialogue information selection rule updating unit updates the user-specific dialogue information selection rule held in the user-specific dialogue information selection rule holding unit based on the acquired statistical dialogue information validity information.
  • Statistical dialogue information validity information is used to select dialogue information to be output to the user. Therefore, the statistical interaction information validity information is information to be reflected when the user-specific interaction information selection rule is updated.
  • the user-by-user dialogue information selection rule is updated by statistical dialogue information validity information or / and validity judgment results.
  • the effectiveness of the dialogue information independently acquired for each user and how to reflect the effectiveness of the dialogue information acquired by the statistical processing in the dialogue information selection rule depends on the design concept of the system.
  • the effectiveness is acquired based on the learning effect information, learning history information, and response dialogue information specific to the user
  • the reliability of the effectiveness for example, the P value or the significance level (statistical term) is compared to the reliability. It is conceivable to design the weighting to be reflected according to the size of.
  • the user-specific dialogue information selection rule is statistically updated, the same design can be made throughout the present specification.
  • FIG. 31 is a diagram showing the hardware configuration of the ninth embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs constituting the hardware of the ninth embodiment shown in this figure the programs which operate in common with the seventh embodiment or the eighth embodiment have already been described, and hence the description thereof is omitted.
  • the “statistical user-specific dialogue information selection rule update program newly added in this embodiment” updates the user-specific dialogue information selection rule based on the statistical dialogue information validity information.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information sometimes associated with it
  • external information including SNS user related information
  • analysis rule health status information
  • dialogue information dialogue information selection rule by user
  • selection Dialogue information response dialogue information
  • validity judgment rules validity judgment results
  • validity statistical processing rules statistical dialogue information validity information
  • update user-specific dialogue information selection rules various settings information such as communication not shown It is held in the non-volatile memory, loaded into the main memory, and referenced and used in executing a series of programs.
  • FIG. 32 is a diagram showing the flow of processing of the most basic configuration of the ninth embodiment.
  • Dialog information selection rule by user (3206), dialogue information selection step (3207), dialogue information output step (3208), response dialogue information acquisition step (3209), validity judgment rule retention step (3210), dialogue Information validity judgment step (3211), validity statistical processing rule holding substep (3212), statistical dialogue information validity information acquisition substep (3213), dialogue by user based on the acquired statistical dialogue information validity information
  • the invention in the present embodiment is an invention in which the first embodiment is described in a method manner, and basically, the category of the invention of the first embodiment is expressed as an operation method of a computer.
  • FIG. 33 is a diagram showing the most basic configuration of the operation method of the interactive health promotion system of the tenth embodiment.
  • SNS user related information acquisition step (3301) for acquiring SNS user related information as external information
  • health condition information analysis acquisition step (3302) for acquiring health condition information based on analysis of analysis rules
  • the dialog information selection step (3303) for selecting the dialog information based on the acquired health condition information and the user-specific dialog information selection rule
  • the dialog information output step (3304) for outputting the selected dialog information.
  • Embodiment 11 ⁇ Embodiment 11 Outline>
  • the invention in this embodiment is an invention in which the first embodiment is described in a method, and basically, the category of the invention of the first embodiment is expressed as an operation program of a computer.
  • Embodiment 11 Configuration of the Invention The most basic configuration of the operation program of the interactive health promotion system according to the eleventh embodiment is the SNS user related information acquisition step (3301), the health condition information analysis acquisition step (as shown in FIG. 33) as in the tenth embodiment. 3302), a dialogue information selection step (3303), and a dialogue information output step (3304).
  • the description is omitted because the configuration is common to the embodiment.
  • Embodiment 12 ⁇ Summary of the twelfth embodiment>
  • the present embodiment to the twenty-first embodiment are descriptions of the interactive learning promotion system.
  • the interactive learning promotion system according to the present embodiment is related to learning of the user's learning history, learning effect, etc. acquired by the learning system in addition to external information such as the user's speech information and browsing information in SNS. Also by acquiring information and using it for analysis, it is possible to acquire the user's learning situation (including the user's introverted elements such as learning motivation, learning posture, spontaneity, continuity without simply focusing on the score).
  • the user's learning is promoted by selecting the dialogue information according to the user's current learning situation.
  • FIG. 34 is an image conceptual diagram showing the relationship between an interactive learning promotion system, various SNSs, and a learning system.
  • a user who is communicating on SNS1 (3402a) and SNS2 (3402b) on a daily basis designates SNS2 as SNS using this interactive learning promotion system (3403)
  • the interactive learning promotion system outputs dialogue information through the SNS 2 (3404).
  • the present interactive learning promotion system is installed outside the present interactive learning promotion system in addition to the SNS user related information (3405a) obtainable through the SNS 1 and / or the SNS user related information (3405 b) obtainable through the SNS 2
  • Learning history information, learning effect information, etc. (3408) are acquired from a learning system (3407) or the like used by a certain user.
  • Type 1 is that learning history information etc. is separated from learning materials and held in the learning system server and output to the interactive learning promotion system
  • type 2 is learning history information etc. along with learning materials
  • the learning materials are provided to the user via the Internet etc., the answers are sent back to the learning system server via the Internet etc., and the results scored by the grader are inputted to the learning system server via the Internet.
  • the learning history information is of a type that is output to this interactive learning promotion system
  • Type 3 is basically the same as Type 2 but is that the learning system server itself scores the reply sent back.
  • Type 2 is often applied to the problem of discourse
  • type 3 is often applied to the problem of choice.
  • Type 3 includes foreign languages, arithmetic, science (science: chemistry, physics, biology, geology, astronomy), history, geography, ethics, society, politics, economy, etc., as well as art, music, home economics, health and physical education, etc. Can also be included.
  • the learning system server is provided with an input / output interface, and learning history information and learning effect information are input from a questioner or / and a grader. This input may be performed in association with the user identification information, and further, the scorer identification information or the like may be input and output in association with the learning history information and the learning effect information. It is mainly used for the type of learning that is essential for learning.
  • the type 2 learning system server has common functions with the type 1 learning system server. That is, although learning history information and learning effect information are held, learning teaching materials, answers which are learning results of the user, etc. are also held.
  • the learning history information is generated automatically or semi-automatically based on the transmission history of the learning material to the user and the reception history of the answer from the user.
  • the type 3 learning system server has common functions with the type 1 and 2 learning system servers. That is, learning history information and learning effect information, learning materials, answers that are learning results of the user, and the like are also held. It also has a scoring function for other received responses. Scoring can be performed automatically with regard to alternative questions, and as for the discussion problems, scoring results of the graders may be obtained or may be configured to be scored by artificial intelligence.
  • FIG. 35 is an image conceptual diagram when giving a learning promotion advice to a user who has an interactive learning promotion system.
  • the interactive learning promotion system (3501) is conversation information ("Today is still sleepy” "Good morning") that the user (3502) registered in the interactive learning promotion system sends out using SNS etc. on a daily basis “Recently late to night,” “It is an intermediate test soon,” “I hate math. I hate the current country,” “I want to see that drama today,” etc., and information about the third party's readings User-specific SNS user related information (3503) such as (open campus information is being browsed) is automatically acquired (3504). Furthermore, at least learning history information and learning effect information are acquired from the learning system (3505).
  • Learning situation information is acquired by comprehensively analyzing (3506) the acquired SNS user related information, learning history information, and learning effect information.
  • This interactive learning promotion system is based on the acquired learning situation information, for background purposes (for example, “I like disliked math.”, “Improving my willingness to study”, “Study a part of the time to play a game”, etc. And select appropriate dialogue information to achieve the purpose. For example, if you want the user to study for the test, the appropriate dialogue information for achieving the purpose, "Good morning !! If not hurry you will be late (; ⁇ ;) Lack of sleep? I slept in class (u_u) ..
  • the interactive learning promotion system in addition to information (learning history information and learning effect information, etc.) related to the learning of the user possessed by the learning system, external information such as an utterance in SNS is used. There is.
  • the information related to the acquired learning and the external information are analyzed as data, and mere numerical ability information is not acquired, but the psychological state such as "motivation" of the user from the information In some cases, we analyze and acquire "current learning situation information" in consideration of learning motivation.
  • the content of the optimal ad ice content is selected from the "current learning status information" obtained by analysis, and the optimal tone is matched to the persuasive tone that the user usually feels familiarity Outputs the selected advice content.
  • FIG. 36 is a diagram showing an example of the configuration of the interactive learning promotion system of the twelfth embodiment.
  • the interactive learning promotion system of the twelfth embodiment includes a first learning user identification information holding unit (3601), a first learning SNS user related information acquisition unit (3602), a first learning history information acquisition unit ( 3603), first learning effect information acquisition unit (3604), first learning analysis rule holding unit (3605), first learning status information analysis acquisition unit (3606), first learning dialogue information storage unit (3607), first The learning user classified dialogue information selection rule holding unit (3608), the first learning dialogue information selecting unit (3609), and the first learning dialogue information output unit (3610).
  • Embodiment 12 First Learning User Identification Information Holding Unit
  • the “first learning user identification information holding unit” holds user identification information identifying a user who uses the SNS and the learning system.
  • the user identification information held is the user identification information in the interactive learning promotion system of the user using the interactive learning promotion system. It is common to hold the name, address, phone number, e-mail address, user-specified ID, date of birth, occupation, age, gender etc. in relation to the user identification information, and it is related to health Information (eg, height, weight, average body temperature, average pulse rate, average respiratory rate, average heart rate, average exercise amount (time, quality, form etc.), presence or absence of gym visits, etc.) Such information may be held.
  • health Information eg, height, weight, average body temperature, average pulse rate, average respiratory rate, average heart rate, average exercise amount (time, quality, form etc.), presence or absence of gym visits, etc.
  • this interactive learning promotion system in addition to or in place of the physical information of the user, information related to learning of the user, etc. (graduation school information, school information, school information, affiliation laboratory information, Includes one or more of areas of expertise, examination results, native language, second foreign language, family academic background, travel history, study abroad history, purchase reference book history, average sleep time, average self-study time, learning habits history, etc.) can do. Furthermore, it is configured to include information for specifying a learning system used by the user, an ID used by the user in the learning system, and the like.
  • a life log indicating the physical condition of the user heart rate, pulse rate, respiration rate, body temperature, degree of muscle contraction / relaxation, electroencephalogram, blood flow rate, blood oxygen concentration, blood alcohol content, allergy It may be configured to include one or more of the degree of reaction, the degree of accumulation of fatigue material, and the like. These are acquired from a wearable terminal that can be worn on the body and capable of measuring the condition of the body, a physical data measurement device that is not worn on the body but has a communication function, and the like.
  • the portable memory for example, USB memory, IC card (including a prepaid card having an RFID function), portable disk drive, optical recording medium, porcelain memory, etc.
  • the portable memory can also be obtained from In the case of a prepaid card, it is possible to obtain data indicating the physical condition by receiving information about the physical condition at the time of medical checkup and payment of a treatment fee by a doctor and acquiring this.
  • the user attribute information held in association with the user identification information is configured to be registered by the user at the start of use of the interactive learning promotion system. This registration can be configured to make this interactive learning promotion system available.
  • the user attribute information can be configured to be transferred or acquired from another system already used by the user.
  • first learning SNS user related information acquisition unit acquires, as external information, SNS user related information which is user related information including the utterance of the SNS used by the user in association with the user identification information.
  • SNS user related information and “SNS” have already been described in the first embodiment regarding the interactive health promotion system.
  • "Acquisition" may be acquired by applying a filter. For example, a keyword holding unit that holds a keyword related to learning may be provided in this unit, and only conversations including the keyword may be acquired. Further, the range of acquisition may be not only the utterances made directly by the user, but also the utterances made between the related parties of the user.
  • Embodiment 12 First Learning History Information Acquisition Unit
  • the “first learning history information acquisition unit” is a learning history that is information indicating a learning history performed by the learning system from the learning system used by the user in association with the user identification information and / or independently of the learning system Get information.
  • “learning” generally refers to a sustained change in behavior through experience, or a change in behavior / thinking / knowledge / behavioral ability, an increase in problems that can be solved, or the time taken for solution Is an action that makes it possible to shorten, to increase the ease of acquiring knowledge, and to take new action. Learning using various learning systems linked to schools, schools, and interactive learning promotion systems is supported by teachers, various learning systems, and interactive learning promotion systems based on widely specified educational objectives and objectives. And the learner takes the lead.
  • Those who give learning may include not only various systems linked with the interactive learning promotion system, but also those by actual teachers (including seminar instructors who perform lectures, including lecturers, tutors, etc.) .
  • athletic ability variable sports
  • playing ability creative ability
  • creative ability clothing, cooking, flower arrangement, tea ceremony, architecture, sculpture, painting, calligraphy, etc.
  • competition ability go, shogi, chess, mahjong, video games. It also includes learning for the purpose of acquiring and maintaining card competitions, tag cards, one-hundred-one-piece, Othello, board games), communication skills (presentations, discussions, etc.), etc.
  • learning may mainly refer to the acquisition of knowledge and the maintenance of continuous knowledge. Learning is to read, view, and optionally use logical formulas consisting of sentences, diagrams, pictures, videos, formulas, chemical formulas, equations and logical symbols to give knowledge, and acquire and maintain that knowledge Say what to do. Among them are challenging to solve the problem, understanding the error of the challenged problem, and understanding the correct answer of the challenged problem.
  • Training history information is a history of learning activities.
  • the history of learning activities includes, for example, types of teaching materials to be read or viewed (textbooks, reference books, examples, videos, pictures, voices, reference URLs on a network, etc.), the distribution date and time of the teaching materials, and the learning instruction range of the teaching materials And whether or not to study the study instruction range, study time, study time, study activities (page turning activity, screen scroll activity, video viewing activity, printout activity of teaching materials, drill practice activity, break activity during study time, eg SNS Such as viewing and listening, leaving, singing, useless talk, etc.
  • At least information to be acquired as the learning history is information indicating the time at which learning is being performed (for example, start date and time and end date and time). Because, this interactive learning promotion system which acquired learning history information from the learning system needs to judge the validity of the dialogue information outputted by itself as described later, and in the judgment of the validity, the dialogue information is outputted. It is necessary to at least analyze how much time has passed since learning.
  • the learning system may obtain such learning history information by having the user (student) manually input it, or transmit the teaching material and network information such as browsing / question / answer of the teaching material by the user's terminal. May be acquired from an external learning system to generate learning history information.
  • the browsing by the user terminal can also be obtained by acquiring a page view of the teaching material, using information of page turning, and acquiring reproduction information of a video.
  • page turning information of each user is held at the same time It is configured to compare with certain page turning information (using an average value and a standard deviation, etc.), for example, to record that normal learning has not been performed if it is out of the range of a predetermined variation, or If it is a natural learner, it is configured to record that normal learning was not performed if, for example, the question to be asked is not asked, the utterance from the user is not recorded in pronunciation learning of a foreign language such as English In this case, it is configured to record that the learning was not made normal, or it is detected that the answer of the question has been searched by the net search on the user's terminal, and the learning for the question is performed. It is conceivable to or configured to record and was not successful.
  • Embodiment 12 First Learning Effect Information Acquisition Unit
  • the “first learning effect information acquisition unit” acquires learning effect information that is information indicating the effect of learning performed in the learning system from the learning system used by the user in association with the user identification information.
  • Learning effect information is information on the result of learning performed by the user through an external learning system. Specifically, the learning effect information is acquired in association with a learning history (at least a learning unit, sometimes a learning unit and date or time, or a learning unit and date and time, and a learning time length) specified by the learning history information.
  • Learning unit refers to a group of contents to be learned. For example, when communication of learning materials is performed between the server and the terminal of the user, it may be a group of learning contents continuously transmitted from the server.
  • this time may be a thing divided into a plurality of non-consecutive blocks of time
  • learning curriculum learning plan
  • basic trigonometric values trigonometric values, triangle side length / peak height, trigonometric relationship (1), trigonometric relationship (2), triangles Reciprocity of Ratio (3), Triangular Ratio of Obtuse Angle (90 ° to 180 °), Trigonometric Equation, Trigonometric Inequality, Sine Theorem, Cosine Theorem, sin ⁇ + cos ⁇ ⁇ sin ⁇ cos ⁇ (8), Trigonometric Equation (Second Order), Triangular Inequality (Second order), positive angle / negative angle, general angle representing radius, definition of trigonometric function (second quadrant), (third quadrant), (fourth quadrant), unit of arc degree method: radian, triangle Function value (frequently used angle),
  • the learning history information is information indicating the learning history in the unit of learning, and the learning effect is that the test result is “half-width formula:“ half-width formula: August 20, 17: 43 start, 1 hour ”.
  • Exercise question 3 August 21 "87 points out of 100 points" etc. correspond.
  • the test is different from the learning date, but may be configured to perform the test within the learning time.
  • “learning effect” is information indicating the understanding degree, learning degree, improvement degree, etc. of the learning unit indicated by the learning history, and the score of the test, the population (the same grade, the same class, the same gender, the same wishing school) , The same school, the same prefectures, the same SNS group, by science and engineering, by medical students, by returnees, by the same figure range, by the same rating (stage, grade etc.), by the same school, from the same region, from the same personal attribute, The same family structure, the same number of consecutive years of learning, the same job title (sport assignment, company title, etc.) The same applies to each subject, each theme, each problem, each study unit's exam in the same.
  • Deviation value of points, correctness (may be comparison in a population) of each test problem may be element unit constituting a learning unit), number of problems answered (even in the case of comparison in a population) Yes), not answer Number of questions (sometimes comparison in the population), ratio of the number of questions answered to the number of questions presented (sometimes comparison in the population), type of questions answered (population) In some cases), the type of questions not answered (sometimes in a population comparison), the time taken to answer the questions (eg, the question answer time associated with each question) Evaluation based on which position the normal distribution belongs (may be comparison in the population), intermediate procedures included in the answer or / and leading to the answer (halfway formula, midway chemical formula, midway logic Expansion, thinking times, rewriting etc), questions asked, impressions on learning, memorization accuracy (sometimes compare in a population), content of wrong answers (sometimes compare in a population), mistake Location that caused the answer (may be comparison in the population), same Frequency of repeated incorrect answers to a problem (sometimes compare in the population), change in time taken
  • the learning effect includes, for example, the above-described various elements (problem answering time, learning time, learning unit test score, number of thoughts, number of incorrect answers, number of repeated correct answers, repeated incorrect answers) Elements to be considered for the learning unit in N-dimensional space coordinates, with each of number, sound order in the population, deviation value in the population, evaluation of lecturer etc., accuracy of the creation, etc. as one dimension Indicates the coordinate position of the comparison, and compare the distance from the origin of each of the coordinates of the compared learning effects, and the distance from the origin is greater (or closer depending on the way of setting the coordinates).
  • various elements problem answering time, learning time, learning unit test score, number of thoughts, number of incorrect answers, number of repeated correct answers, repeated incorrect answers
  • Elements to be considered for the learning unit in N-dimensional space coordinates with each of number, sound order in the population, deviation value in the population, evaluation of lecturer etc., accuracy of the creation, etc. as one dimension Indicates the coordinate position of the comparison, and compare the distance from the origin of each
  • a method may be considered in which the magnitude of the numerical value indicated by the coordinates is compared starting from one of the coordinates of the learning effect to be compared, or the volume of the space in which the coordinates of the learning effect to be compared are constituted by the origin and each dimension axis.
  • a rule may be considered in which (areas in the case of two dimensions) are compared.
  • the problem response time and the learning time be reduced, and that the test score for the learning unit be increased, and the number of thinkings (number of logic developments: for example, the number of stages of dialectical thinking steps: this is a statement
  • the number of incorrect answers be reduced, which is preferable because it is not preferable because the thought can not be explained if the number of times is less than a certain number
  • Design is made such that cases (for example, calculation plus in each dimension) and cases not preferable (for example, calculation minus in each dimension) are unified in each dimension. Therefore, the validity of an element is constructed such that values of each dimension are obtained by substituting the measured values into a unique function so that the obtained measured values can be properly distributed in the N-dimensional space.
  • Embodiment 12 First Learning Analysis Rule Holding Unit
  • the “first learning analysis rule holding unit” is for acquiring the learning situation information by analyzing the external information, the learning history information, and the learning effect information in association with the user identification information from the viewpoint of grasping the learning situation.
  • Hold learning analysis rules that are rules. Since the learning analysis rules are associated with the user identification information, they become learning analysis rules that match the characteristics of the user.
  • the ultimate purpose of this interactive learning promotion system is to realize the continuation of spontaneous learning. In order to realize the continuation of spontaneous learning, it is necessary to wear learning habits, to improve the learning motivation to wear this habit, and to maintain the worn habits. It will be necessary to create rhythmicity and patience to maintain the motivation for learning.
  • This interactive learning promotion system is a dialogue system for realizing improvement and maintenance of the learning motivation necessary for habituation and habit maintenance. Therefore, the learning analysis rule is a rule for each user for performing analysis and acquisition of learning situation information for each user, which is necessary to select dialogue information for improving and maintaining learning desire.
  • Training situation information is associated with user identification information and (1) the degree of habitation of spontaneous learning of the user, (2) quality of spontaneous learning, (3) spontaneous learning (4) How much self-judged the progress of their own learning by themselves, (5) How the parties surrounding themselves progressed their own progress of learning (6) to evaluate the user's learning situation quantitatively or qualitatively from the viewpoint of one's or more degree of willingness to learn, etc. It depends on the design intention of the system whether it distributes to what kind of result qualitatively produces. It may be quantitative, qualitative or both. As a design policy, if it is quantitative, the larger the numerical value is, the more positive it is for learning, and the smaller the numerical value, the more negative it is for learning.
  • the learning status information may be acquired in a learning unit (for example, a unit determined by a curriculum prepared by a learning system or a unit determined by a course of study published by the Ministry of Education, Culture, Sports, Science and Technology). It may be acquired for a mass of a plurality of learning units, or may be acquired for a learning subject or even a higher rank. Therefore, the learning situation information can be configured to be acquired in association with learning unit identification information for identifying a learning unit, learning subject identification information, and the like. Further, the learning situation information may be configured to be acquired in association with the dialogue information related to the arrival of such learning situation information. Therefore, the learning situation information may be configured to be acquired in association with the dialogue information identification information identifying the dialogue information and the like. Furthermore, when the dialogue information that has influenced the learning situation information can not be clearly separated from a large number of dialogue information, the degree of influence may be given to the dialogue information identification information based on the temporal distance.
  • a learning unit for example, a unit determined by a curriculum prepared by a learning system
  • the habitation is the rhythm of learning (specifically, the date and time of learning), the duration of learning, external information (user's SNS statement, interactive SNS statement of interactive learning promotion system, etc. Comments of users, various information that can be acquired from SNS (for example, information such as lessons at school, tests, simulation tests outside school, information on population of simulation tests: various preparatory schools, various learning schools, etc. on SNS (Information sent to) can be evaluated periodically and it can be evaluated by how its variation fluctuates. Human life has a periodic rhythm to some extent. For example, it is already known to have a biorhythm.
  • the evaluation cycle may be different for each user.
  • the evaluation period may be calculated and used from the learning history of the user without using a given period.
  • the rhythm of learning may be measured by category of the content to be learned. For example, in the case of general junior high school students and high school students, it is common for the rhythm of learning to be different for each subject because there are subjects that are frequently studied at school and those that are not.
  • the frequency of learning is high with an external learning system linked with an interactive learning promotion system, or a non-linked system (eg not linked in a school, acupuncture, practice ground, classroom etc), or Many curricula are subject to a relatively high frequency of learning to determine whether learning habits have been reached, and conversely, those having a relatively low frequency are determined on the basis of learning habits. It is also possible to evaluate in relation to how often the interactive learning system encourages learning in order to learn, or whether it has led to do so. That is, it is also possible to measure the habituation of learning by the ratio of the number of utterances for guidance or guidance to the number of times of actual learning.
  • the learning effect information can generally be measured by the improvement of the ability to learn.
  • the former is calculated using learning history information
  • the latter is calculated using learning effect information
  • the ratio of both values calculated by learning effect information / value calculated by learning history information
  • An assessment of quality can be made.
  • the quality of evaluation of spontaneous learning is determined by comparing the value of the past ratio and the value of the current ratio on a per-user basis, and determining that the quality of spontaneous learning is improved when the value is larger be able to. Further, the value of the current specific user ratio within a specific population may be calculated as a deviation value instead of the user unit to evaluate the quality of spontaneous learning within the population.
  • “(4) Evaluation of how self-judgement of self-study progress is self-judged” can be judged mainly by analyzing the user's speech on SNS.
  • the user's utterance may be a spontaneous utterance or may be an utterance of an answer corresponding to the utterance selected and emitted by the interactive learning promotion system. It is difficult to evaluate the learning situation information from the information on the outline only with high accuracy because it depends on the user's brain and the skill worn by the user. Therefore, the learning status information is calculated in consideration of the user's own awareness.
  • the analysis of the user's speech is performed by a database covering speech related to learning.
  • the remarks of the related parties of the user may be spontaneous remarks or may be remarks of the answers of the people corresponding to the remarks selected and emitted by the interactive learning promotion system (relationship The person concerned of the user responds to the speech by the interactive learning promotion system in the SNS group including the person). It is difficult to evaluate the learning situation information with high accuracy based on only the information on the external form. Therefore, the learning situation information of the user is calculated in consideration of the evaluation situation of the person concerned of the user.
  • the analysis of the utterances of the participants of the user is also performed by a database covering the utterances related to learning.
  • weighting may be performed according to the relationship between the user and the related party. For example, the weight of the user's parents' speech is reduced (in the case of parents, it is assumed that there is a speech without objectivity), and the speech of the user's friends (the premise is that friends are objectively and kindly) is the same speech Even if, it is possible to make weighting large.
  • the evaluation can be performed mainly by analyzing the user's speech on the SNS, learning history information, and learning effect information.
  • the analysis of the user's speech is performed by a database covering speech related to learning.
  • the remarks are collected into intentions related to typified multiple (many) learning intentions, and each intention is given an evaluation value in terms of how much the learning intention is, and the evaluation value is
  • An evaluation value of the degree of motivation for learning can be calculated using (positive and negative cases may be used).
  • the accurate grasp of the user's current learning intention may be configured to analyze relative to others. Furthermore, it is also effective to analyze the user's current willingness to learn based on relative comparison between past and present.
  • Embodiment 12 First Learning Situation Information Analysis Acquisition Unit
  • the “first learning status information analysis acquisition unit” includes the acquired external information associated with the user identification information, the learning history information, the learning effect information, and the learning analysis rule associated with the same user identification information. Acquire learning situation information based on it.
  • the acquired learning status information may be stored temporally in the first learning status information analysis acquiring unit in association with the user identification information and the output dialogue information, including the past one, It may be stored as part of user attribute information stored as associated information.
  • the degree of motivation for learning It can be configured to be acquired by comprehensively analyzing each of the above evaluations. From the elements of (1) to (6), a negative evaluation value may be obtained because it includes the viewpoint of comparative evaluation.
  • the learning status information may be acquired for each learning unit the user is learning, or may be in units of learning subjects. For example, upper conceptual categories of subjects (for example, science subjects, arts subjects, physical education, etc.) It is also possible to take a course subject, an artistic subject, etc. as a unit. The learning unit may be acquired entirely without specifying it.
  • Representative information includes each learning unit (including the learning unit itself, the learning environment related to the learning unit, the learning system related to the learning unit, and the like. The same applies in the following embodiments 12 to 19). It includes psychological information about the upper concept, the lower concept, and the combination.
  • Typology refers to one or more internal users, such as “interest,” “enjoyment,” “difficulty,” “necessity,” “satisfaction,” “feeling of crisis,” “feeling of crisis,” “motivation,” etc. for each learning unit.
  • the inner surface index which is the index, a value indicating the degree of the user is given, for example, a value from -5 to +5.
  • the inner index is selected based on the design concept of the interactive learning promotion system. For example, if the type item "interest” of a certain user is "minus 2" for "ninety nines of arithmetic", the user indicates that he / she is somewhat less interested at ninety nines of arithmetic.
  • peace of mind anxiety, gratitude, surprise, excitement, excitement, curiosity, calmness, irritability, wonder (embarrassment), good luck, relaxation, tension, honor, responsibility, respect, familiarity (intimacy) ), Jealousy (faithfulness), lust (motivation), fear, courage, pleasure, regret, satisfaction, dissatisfaction, remorse, hate, shame, guilt, expectation, superiority, inferiority, suffering, sadness, intimacy, Mental situations such as anger, licking, hopelessness, hate, emptiness, etc.
  • SNS user related information rated or scored and used for calculation of the inner indicators
  • the emotional indicators may be used separately from the inner indicators It is possible to hold it and use it to calculate learning status information, or to configure these emotion indicators directly in learning status information.
  • the learning situation information may be either one or both of numerical evaluation from the viewpoint of learning habituation and evaluation from the viewpoint of the user's internal posture for qualitative learning.
  • the learning situation information is to be evaluated quantitatively or qualitatively, and to which factor the weight of the numerical value is distributed and what result is qualitatively produced depends on the design intention of the system.
  • a configuration may be considered in which analysis values are acquired by summing up evaluation values of respective elements.
  • a configuration may be considered in which analysis values are acquired with different weightings for each element.
  • a configuration may be considered in which an analysis value is obtained by multiplying the evaluation value (ratio to completeness 100) of each element by assuming that the case of complete habit is 100 and in this case, the evaluation value of each element When acquired as a ratio to the degree of completion 100, the evaluation value of each element does not indicate negative.
  • learning of learning condition information (It does not matter whether this interactive learning promotion system and an operator, a computer, a server, and a case are the same. Moreover, it is the same from Embodiment 12 to Embodiment 19). It is also possible to be configured to be fed back to the learning system for creating and changing the curriculum of the system (whether singular or plural, and the same from the twelfth embodiment to the nineteenth embodiment). is there. Generally, the change of the learning curriculum is changed depending on the test results or the user's request, but it is considered that the learning efficiency of the user can be improved more based on the learning situation information.
  • the learning status information is made up of qualitative information such as learning habits and user's psychological aspect, and is deeper than general information as information regarding user's learning.
  • Curriculum is changed by changing learning units, creating new units, allocating time units of learning units, setting time intervals, adding new learning subjects, deleting learning subjects, changing learning methods (for example, focusing on letters, tables, drawings, pictures, videos, etc.) From mathematical formulas to tables, figures, pictures and videos, from lectures to home study, from books to books, etc.
  • Feedback can be designed so that an external learning system automatically accepts it, and the curriculum etc. is automatically changed according to the learning situation information. It may be configured such that an external learning system administrator performs change of the curriculum etc.
  • Embodiment 12 First Learning Dialogue Information Storage Unit
  • the “first learning dialogue information accumulation unit” accumulates dialogue information to be transmitted according to the learning status information acquired in association with the user identification information.
  • the dialogue information is stored in a database as any and every conversation that may be spoken in the general society.
  • the example sentence of the conversation which is the basis for giving the user advice on learning promotion or learning habits, is held particularly deeply.
  • Languages may be stored in a language understood by the user, or dialog information may be stored in a standard language such as Japanese, English, or Chinese, and configured to be translated and selected according to the user's language used You can also Therefore, the foundation is built on the basis of language dictionary database, conversation dictionary database, etc. Furthermore, SNS, information provision site, corporate advertisement site, bulletin board site, telephone call contents, etc. It is preferable to accumulate dialogue information collected from all sources that can be collected. These may include, for example, dialects, gal words, pictograms, emoticons, secret words, coined words, new words, abbreviations, idioms, etc., which are collected by artificial intelligence and gradually improve speech accuracy (intentionally accurate) Preferably). Furthermore, the dialogue information constituting the learning promotion advice etc.
  • the dialogue information may include a question, a question, and the like for the system to know the understanding level of the learning unit (including its upper concept and lower concept). This can improve the accuracy of the user's learning situation information.
  • the interactive learning promotion system is as concerned with the user as it is by reflecting on the individuality of each user and selecting and outputting the dialogue information so as to be a natural conversation for the user. It is characterized by having the feeling as if you are in contact with a living human being. Therefore, according to the user's daily conversation, whether to use polite language, rough language with spoken language, or dialects such as Osaka dialect or Hakata dialect, words that mix English in the document It is preferable that dialogue information be stored so that not only the choice of the contents of the conversation, such as whether it will be lost, but also the type of conversation can be selected.
  • the dialogue information storage unit may store dialogue information as a dialogue having the same meaning depending on differences in formation of the dialogue.
  • dialogue information expressing the feeling of gratitude expressions such as "Thank you”, “Thank you”, “Thank you”, “Okini”, “Thank you”, “Thank you”, etc. are all accumulated as different dialogue information.
  • the dialogue information storage unit accumulates only the most basic dialogue information for each meaning, and the dialogue information output unit described later sets the basic dialogue information selected from the dialogue information storage unit to the individuality of the user. I can think of a way to convert it into an interactive form.
  • a rule for converting the basic dialogue information into a dialogue style conforming to the characteristics of each user is included in the user-by-user dialogue information selection rule.
  • “thank you.” “Thank you” “Thank you” “Okini” “Thank you” “Thank you” “Thank you” etc. are all expressions that express gratitude. Only "Thank you” will be saved.
  • the dialogue information accumulated in the first learning dialogue information accumulation unit may be configured to be able to be displayed on the interface monitor.
  • the dialogue information storage unit management means is a first learning dialogue information storage unit so that management actions such as addition, change and deletion of dialogue information can be manually performed on the interface screen on which the accumulated dialogue information is displayed. It can be considered that the communication information storage unit management unit is provided as a new configuration.
  • the management action of the first learning dialogue information storage unit is assumed to be performed by a person who manages and provides the interactive learning promotion system of the present invention.
  • the dialogue information storage unit can be configured to hold dialogue information that should not be used as the dialogue information so that such dialogue information is not selected or accumulated so as to be selectable.
  • Dialogue information that should not be used is discriminatory terms and dialogue information related to social cases and difficult to handle. It can also be configured to be defined according to the user's attributes.
  • the 12th embodiment dialogue information selection rule holding unit for each first learning user>
  • the “first learning user category dialogue information selection rule holding unit” holds a user category dialogue information selection rule which is a rule associated with user identification information for selecting dialogue information accumulated based on the acquired learning situation information Do.
  • the user-specific dialog information selection rule reflects the individuality of each user in order to make the user feel as if he or she is in contact with a real human being who is concerned about himself. It is a rule for selecting dialogue information so as to be a natural conversation. From the external information, SNS user-sent information etc.
  • General dialogues that are registered in advance are formally registered, such as polite language, spoken language, gal language, Osaka dialect, Kyoto dialect, Hakata dialect, Nagoya dialect, Hokkaido dialect, Hokkaido dialect, etc.
  • What can recognize the present interactive learning promotion system as if the user is closer and live is the method of assembling an interactive form that can more strongly reflect the user's individuality.
  • the amount of external information accumulated for analyzing the user's individuality is small.
  • a default format is automatically selected.
  • the user can select and register an interactive form and start it in the interactive form of the user's preference.
  • it may be configured to automatically select the appropriate interactive dialogue information according to the user's attribute.
  • the attributes of the user are age, gender, birthplace, present address, nationality, language used, SNS conversation (dialogue) format, SNS friend conversation (dialogue) format, favorite clothes type, favorite movie type , Favorite book type, favorite celebrity type (talent, actor, politician, writer, singer, performer, historical person, announcer, character), hobbies, taste, etc.
  • the dialogue information in a format corresponding to the user's individuality is selected from the first learning dialogue information storage unit
  • Configure per-user dialog information selection rules for This may be updated by artificial intelligence so that appropriate dialogue information is selected on the basis of external information on a daily basis.
  • the user In analyzing the format of the dialogue information from the conversation information of the user's SNS, the user is not merely confined by the user's speech format, but by analyzing the conversation format of friends and family whom the user frequently interacts with, the user It is conceivable to assemble another dialogue information selection rule. By analyzing and reflecting the way of speaking of the other party the user actually talks on a daily basis, it is possible to give a sense of security as if talking with a friend or family member.
  • the dialogue information accumulated from this point of view is a variety of accumulated dialogue information that can be empathic, such as dialogue information that conveys affection, dialogue information that conveys liking, dialogue information that gives up the other party, dialogue information that encourages the other party, etc. Is preferred.
  • the response may be a rule for selecting the response by the dialog information selection unit. Conceivable. That is, it is possible to include such a non-yielding rule (sub-step, sub-rule) or a process not giving up in the user-specific dialogue information selection rule, or a process including this.
  • Embodiment 12 First Learning Dialogue Information Selection Unit
  • the “first learning dialogue information selection unit” selects dialogue-type dialogue information conforming to the characteristics of each user based on the learning situation information and the held dialogue information selection rule for each user from the dialogue information storage unit Do.
  • the “first learning dialogue information selecting unit” selects the dialogue information from the first learning dialogue information storage unit based on the acquired learning situation information and the held user dialogue information selection rule. In the case where dialogue information is stored in the first learning dialogue information storage unit for each difference in the dialogue form, it is possible to select the dialogue information matching the dialogue form and the dialogue content selected in the user-by-user dialogue information selection rule Become.
  • the basic dialogue information may indicate not a word itself but a group of words.
  • identification information is given to the dialogue information expressing the feeling of gratitude, and this is selected, and then “thank you”, “thank you”, “thank you”, “big chance”, “thank you” It is configured to select one of expressions such as “Thank you”.
  • the dialog information that is the basis is selected from the dialog information storage unit according to the dialog content specified by the user-specific information selection rule, and the selected dialog information is specified in the user-specific dialog information selection rule Processing is performed to convert into an interactive form that conforms to.
  • the above work is the selection of dialogue information.
  • This selection is configured to be made instantaneously by the computer. Specifically, when the input from the user is accepted via the SNS, the user has a speed for displaying a reply on the screen without giving a margin for closing the screen of the SNS. As an example, the average is about 1 to 3 seconds or less. However, in the case of a flow of conversation information that may be a problem for ordinary people, the conversation information may be output with more time left.
  • Embodiment 12 First Learning Dialogue Information Output Unit
  • the “first learning dialogue information output unit” outputs the selected dialogue information to the user identified by the user identification information via the SNS.
  • the speed at which the dialogue information output unit outputs the dialogue information is the speed at which the user's input is promptly responded to if necessary. If the user closes the SNS screen, the risk of leaving from the system side not being read is increased. In addition, it is not necessary to always respond immediately, and there may be a kind of transmission that is output with time. For example, in the case of a conversation in which the result of the advice is heard.
  • the output is a user's portable terminal, a fixed terminal such as a desktop personal computer, or the like.
  • the SNS to be output may be an application dedicated to the interactive learning promotion system, or an SNS service managed and provided by another system that is not exclusively for the interactive learning promotion system that the user routinely uses. It is also good.
  • the format of the output is not limited as long as the information can be transmitted to the user, such as characters, illustrations, sounds, images, and moving pictures.
  • SNS service that you use on a daily basis with real people, rather than using dedicated applications. It will be effective, as it will naturally display learning promotion advice and learning habits fixing advice from the interactive learning promotion system, naturally. Effective is that the advice from the interactive learning promotion system is found naturally on a daily basis, so it is effective not to have a strong sense of interacting with the system (inorganic computer or server). It is the reason to become.
  • the output from the interactive learning promotion system is set so as not to give unread notification to the status bar or icon of the smartphone using the SNS service of the output destination, for example, or the chat head can not appear. If configured, it is more effective because the above effect can be ensured. On the contrary, since a chat head etc. is immediately visible with a smart phone etc., a feeling of distance with this system becomes small, and is preferable.
  • the dialogue information to be output includes ones including a question form, ones including an advice, a greeting, an anomalous sound, etc., and neither the content nor the form is limited.
  • the guest user can immediately generate and hold user identification information using a telephone number etc., and make the interactive purchase promotion system that recognizes the person as a guest user and recognize the voice call.
  • the user terminal is defined as a guest user to distinguish it from the case where the interactive learning promotion system is activated, but at the time of the first voice call, the user is called an outgoing telephone number, voice, name, member
  • the guest user's attribute information preferences, how to talk, how to make sense, hobbies, etc.
  • the output of the dialogue information is generated by the SNS enabled terminal which is not possessed by the user receiving the voice telephone, and the output as the voice is delivered to the guest user through the telephone. It can be said that it is an output of dialogue information via SNS.
  • the output of the dialogue information through the SNS is an output as a speech of a friend or the like of the user participating in the SNS. Therefore, since it is preferable to have a conversation as a friend or the like that looks as unique as possible to the user, it is preferable to use multiple names so that the same name does not overlap between users as much as possible.
  • the name may be freely set at the time of initial user registration.
  • an attribute for determining an element used for conversation selection may be freely set at the time of user registration. For example, gender, age, personality, avatar, clothes, life rhythm, hobbies, etc. of friends who are the system.
  • the output of the dialogue information may be configured to output the dialogue information not only by a single character worn by the interactive learning promotion system but also by a plurality of characters.
  • one character may be a cheering player, and the other may be a comforter, so that characters can be divided to effectively affect the user.
  • the setting of the character can also be configured to be selected based on the acquired external information, learning history information, learning effect information, and the like.
  • An appropriate character can be selected according to the content (attribute) of the dialogue information to be output. Therefore, an attribute is added to the dialogue information and stored in the first learning dialogue information storage unit, and a character corresponding to the attribute information is selected in the first learning dialogue information output unit so as to compose an utterance on the SNS. It is good.
  • the selected dialogue information not only the dialogue between the user and the friends who are the plurality of characters that are the system, but also the dialogue between the friends who are the system (characters) may be performed.
  • the user can obtain learning promotion, motivation for establishing learning habits, and the like from dialogue information exchanged between friends and the like.
  • the speech of a friend or the like who is the system may be switched according to the position information. For example, when going out to Osaka, friends of Osaka Ben appear, and when going out to Kyushu, friends of Kyushu Ben appear.
  • a friend or the like in Osaka may be configured to select a conversation on the assumption that a situation (a meeting timing situation) where he has met for a long time since he went to Osaka last time.
  • a situation a meeting timing situation
  • the classic test has left me for repair (; ⁇ ;), but we were fine this time, but the last minute? It may be possible to start a comparative conversation such as “It might be dangerous, ⁇ ” or an invited conversation such as “Oda and Tokugawa are going to study at Toyotomi's house.
  • a friend etc. do not necessarily need to be an avatar (character) person, and may set various things, such as a mammal, a fish, an insect, a thing, etc.
  • the present invention is not limited to a still image and may be displayed as a moving image.
  • the avatar may be set to transmit a picture, a moving picture, a picture or the like to the user according to the setting. For example, pictures of meals, landscapes, pictures of an ideal body, videos explaining how to exercise, etc.
  • you may send information such as equipment, supplements, etc., to promote use.
  • friends who are the system experience the atmosphere, warmth and humanity using the avatar schedule described above, which set events according to the passage of time, such as going up the stairs of life, to be experienced as an accident. Good.
  • FIG. 37 is a diagram showing a hardware configuration of the twelfth embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the "first learning user identification information holding program” holds user identification information.
  • the “first learning SNS user related information acquisition program” acquires SNS user related information. This is done via an interface program with the SNS.
  • the “first learning history information acquisition program” acquires learning history information of the user from an external learning system used by the user.
  • the “first learning effect information acquisition program” acquires learning effect information of the user from an external learning system used by the user.
  • the “first learning analysis rule holding program” holds learning analysis rules.
  • the “first learning situation information analysis acquisition program” acquires learning situation information from external information, learning history information, and learning effect information based on analysis based on learning analysis rules.
  • the “first learning dialogue information accumulation program” accumulates dialogue information.
  • the “first learning user-specific dialogue information selection rule holding program” holds dialogue information selection rules for each user.
  • the “first learning dialogue information selection program” selects appropriate dialogue information from among the dialogue information accumulated based on the acquired learning situation information and the held user dialogue information selection rule.
  • the "first learning dialogue information output program” outputs the selected dialogue information.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information associated with it in some cases
  • external information including SNS user related information
  • learning history information learning effect information
  • learning analysis rules learning status information
  • dialogue information The user-by-user dialogue information selection rule, selected dialogue information, various setting information such as communication not shown, etc. are held in the non-volatile memory, loaded into the main memory, referred to and used in executing a series of programs.
  • FIG. 38 is a diagram illustrating an example of a process flow of the twelfth embodiment.
  • the first learning user identification information holding step (3801) for holding user identification information the first learning SNS user related information acquisition step (3802) for acquiring the SNS related information of the user
  • the user uses The first learning history information acquisition step (3803) of acquiring learning history information of the user from the external learning system, and the first learning effect information acquiring step of acquiring learning effect information of the user from the external learning system used by the user (3804)
  • Embodiment 13 ⁇ Summary of the thirteenth embodiment>
  • the interactive learning promotion system according to the present embodiment is related to learning of the user's learning history, learning effect, and curriculum acquired by the learning system in addition to external information such as the user's speech information and browsing information in SNS.
  • user's learning situation information including the user's introverted elements such as learning motivation, learning posture, spontaneity and continuity without simply focusing on the score
  • the user's learning is promoted by giving advice (selection of dialogue information) according to the user's current learning situation.
  • FIG. 39 is a diagram showing an example of the configuration of the interactive learning promotion system of the thirteenth embodiment.
  • the interactive learning promotion system of the embodiment 13 includes a second learning user identification information holding unit (3901), a second learning SNS user related information acquiring unit (3902), and a second learning history information acquiring unit.
  • the “second learning user identification information holding unit” is the first learning user identification information described in the twelfth embodiment
  • the “second learning SNS user related information acquiring unit” is the first learning SNS user association described in the twelfth embodiment.
  • the information acquisition unit and the “second learning history information acquisition unit” are the first learning history information acquisition unit shown in the twelfth embodiment, and the “second learning effect information acquisition unit” is the first learning effect shown in the twelfth embodiment
  • the information acquisition unit, the “second learning analysis rule holding unit” is the first learning analysis rule holding unit described in the twelfth embodiment
  • the “second learning status information analysis acquiring unit” is the first learning described in the twelfth embodiment
  • the status information analysis acquisition unit and the “second learning dialog information storage unit” are the first learning dialog information storage unit shown in the twelfth embodiment, and the “second learning user's dialog information selection rule holding unit” is the twelfth embodiment.
  • the “second learning dialogue information selecting unit” is the first learning dialogue information selecting unit shown in the twelfth embodiment
  • the “second learning dialogue information output unit” is the first learning dialogue information output unit shown in the twelfth embodiment
  • the functions are similar to each other and have already been described.
  • Embodiment 13 Second Learning Curriculum Information Acquisition Unit
  • the “second learning curriculum information acquisition unit” acquires curriculum information performed in the learning system from the learning system used by the user in association with the user identification information.
  • “Curriculum” indicates a plan for learning instruction.
  • curriculum information in addition to the curriculum provided by the administrator of the learning system providing the learning system, the curriculum information of the school to which the user is attending school, the curriculum information of the learning habits attended by the user, etc. It can.
  • the curriculum information being acquired by the interactive learning promotion system, the contents of the learning promotion advice included in the dialogue information output by the interactive learning promotion system are reflected in the dialogue selected based on the curriculum information. Become.
  • the accuracy of the learning effect information and the learning situation information can be further enhanced by comparing the curriculum information with the learning effect information and the learning history information.
  • Curriculum information is preferably configured to be acquired in the form of a collection of learning units. By acquiring learning effect information and learning history information on a learning basis, comparative analysis becomes possible with a 1: 1 relationship.
  • FIG. 40 shows a hardware configuration of the thirteenth embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs constituting the hardware of the thirteenth embodiment as shown in this figure the description of the programs which operate in common with the program of the twelfth embodiment will be omitted.
  • the “second learning curriculum information acquisition program” newly added in this embodiment acquires curriculum information from an external learning system or the like used by the user.
  • the “second learning situation information analysis acquisition program” acquires learning situation information from external information, learning history information, learning effect information, and curriculum information based on analysis based on learning analysis rules. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information sometimes associated with it
  • external information including SNS user related information
  • learning history information including SNS user related information
  • learning effect information curriculum information
  • learning analysis rules learning situation information
  • Dialog information, user-specific dialog information selection rules, selected dialog information, various setting information such as communication not shown, etc. are stored in non-volatile memory, loaded into main memory, referenced and used in executing a series of programs .
  • FIG. 41 is a diagram illustrating an example of a process flow of the thirteenth embodiment.
  • the description of steps having the same function as in the twelfth embodiment has been omitted, and only the characteristic steps of the present embodiment have been described.
  • the interactive learning promotion system of the embodiment 14 is an independent claim, but in addition to the feature of the embodiment 13, the external information includes the speech of an external learning system participant (a speech generated by a computer is included) It is characterized by including.
  • FIG. 42 is a diagram showing an example of the configuration of the interactive learning promotion system of the fourteenth embodiment.
  • the interactive learning promoting system of the fourteenth embodiment includes a third learning user identification information holding unit (4201), a third learning SNS user related information acquiring unit (4202), and a third learning history information acquiring unit. (4203), third learning effect information acquisition unit (4204), third learning curriculum information acquisition unit (4205), third learning analysis rule holding unit (4206), third learning status information analysis acquisition unit (4207), The third learning dialogue information storage unit (4208), the third learning user classified dialogue information selection rule holding unit (4209), the third learning dialogue information selecting unit (4210), and the third learning dialogue information output unit (4211) .
  • the “third learning user identification information holding unit” is the first learning user identification information shown in the twelfth embodiment, and the “third learning history information acquisition unit” is the first learning history information acquisition unit shown in the twelfth embodiment
  • the “third learning effect information acquiring unit” is the first learning effect information acquiring unit shown in the twelfth embodiment
  • the “third learning curriculum information acquiring unit” is the second learning curriculum information acquiring unit shown in the thirteenth embodiment
  • the “third learning analysis rule holding unit” is the first learning analysis rule holding unit described in the twelfth embodiment
  • the “third learning status information analysis acquiring unit” is the first learning condition information analysis acquiring unit described in the twelfth embodiment
  • the third learning dialogue information storage unit is the first learning dialogue information storage unit described in the twelfth embodiment
  • the third learning user classified dialogue information selection rule holding unit is the first learning user illustrated in
  • the learning dialogue information selecting unit is the first learning dialogue information selecting unit shown in the twelfth embodiment
  • the “third learning dialogue information output unit” is the first learning dialogue information output unit shown in the twelfth embodiment, and functions thereof It is similar and has already been described. Note that the "third learning curriculum information acquisition unit" is not necessarily essential.
  • the “third learning SNS user related information acquisition unit” is user related information including the speech of the user of the SNS used by the user in association with the user identification information and the speech of the person involved in the learning system (including the speech generated by the computer)
  • the operation of the third learning SNS user related information acquisition unit is basically the same as the first learning SNS user related information acquisition unit shown in the twelfth embodiment, and has already been described.
  • the speech (including the speech generated by the computer) of the learning system participant is acquired as SNS user related information.
  • “Speaking of a person involved in the learning system” is advice given to a user by a lecturer, an adviser, a grader, an examiner, etc. through an external learning system or SNS, or a system (computer) of a lecturer role or a lecturer It is a statement. These advices and remarks may be made on the Internet exchanged within an external learning system, may be made by telephone, by voice that is actually made face to face, or may be made by paper. Good (OCR acquisition). Although there is no limitation on which form it is, it is necessary that data processed so that it can be taken into the interactive learning promotion system be stored in the learning system. An utterance of an external learning system participant may be an utterance returned in response to an utterance from the interactive learning promotion system.
  • the lecturer or the like is a group member of the SNS including the user, or an interface capable of interacting between an external learning system and the system of the present embodiment is provided. preferable.
  • FIG. 43 is a diagram showing a hardware configuration of the fourteenth embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs constituting the hardware of the thirteenth embodiment as shown in this figure the description of the programs which operate in common with the program of the twelfth embodiment or the thirteenth embodiment will be omitted.
  • the “third learning SNS user related information acquisition program” newly added in the present embodiment acquires the speech of the learning system related person in addition to the speech of the SNS user as the SNS user related information.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information associated with it in some cases
  • external information including SNS user related information (including a speech of a person involved in the learning system)
  • learning history information learning effect information
  • Curriculum information learning analysis rules, learning status information
  • dialogue information dialogue information selection rules for each user, selected dialogue information, various setting information such as communication not shown, etc.
  • Is referred to and used when executing the program of The third curriculum information acquisition program is not essential.
  • FIG. 44 is a diagram illustrating an example of a process flow of the fourteenth embodiment.
  • the third learning user identification information holding step (4401) the speech of the user of the SNS used by the user in association with the user identification information, the speech of the person concerned with the learning system (including the speech generated by the computer Third SNS user related information acquisition step (4402) for acquiring SNS user related information that is user related information including) as external information, third learning history information acquisition step (4403), third learning effect information acquisition step ( 4404), the third curriculum information acquisition step (4405), the third learning analysis rule holding step (4406), the third learning status information analysis acquisition step (4407), the third learning dialogue information storage step (4408), the third learning User-specific dialogue information selection rule holding step (4409), third learning dialogue information selection A step (4410), third learning interactive information output step (4411), consisting of.
  • the description of steps having the same function as in the twelfth embodiment or the thirteenth embodiment is omitted, and only the characteristic steps of
  • the fifteenth embodiment ⁇ Overview of the fifteenth embodiment>
  • the interactive learning promotion system of the fifteenth embodiment is characterized in that, in addition to the features described in any one of the twelfth to fourteenth embodiments, the effectiveness of the dialogue information outputted based on the learning effect information is judged. Do.
  • FIG. 45 is a diagram showing an example of the configuration of the interactive learning promotion system of the fifteenth embodiment.
  • the interactive learning promoting system of the fifteenth embodiment includes a first learning user identification information holding unit (4501), a first learning SNS user related information acquiring unit (4502), a first learning history information acquiring unit (4503), first learning effect information acquisition unit (4504), first learning analysis rule holding unit (4505), first learning status information analysis acquisition unit (4506), first learning dialogue information storage unit (4507), First learning dialogue information selection rule holding unit for each learning user (4508), first learning dialogue information selecting unit (4509), first learning dialogue information output unit (4510), learning effectiveness judgment rule holding section (4511), learning dialogue information And a validity judgment unit (4512).
  • the description of the configuration common to any one of the twelfth to fourteenth embodiments will be omitted, and only the configuration unique to the present embodiment will be described.
  • the “learning effectiveness determination rule holding unit” holds a learning effectiveness determination rule which is a rule for determining whether the dialogue information is effective based on the learning effect information acquired with respect to the output dialogue information.
  • the effectiveness of the dialogue information is judged by the dialogue information and the learning effect information related to the dialogue information. If it can be judged that the learning effect has been increased by the influence of the dialogue information, it can be judged that the dialogue information is valid, and if it can be judged that the learning information has fallen, the dialogue information is judged to be the opposite effect. Of course, it may be judged that it was neutral and had no influence.
  • the validity of the dialogue information may be determined on each of the A + N day and the A + 2N day.
  • the number of judgments of the effectiveness is not limited to two, and may be configured to judge any plural times. This is because the number of days until the dialogue information gives the user a good influence on the improvement of the learning effect can not be uniquely determined, and can also change depending on the attribute such as the character of the user.
  • the determination of the validity among the plurality of pieces of dialogue information may not be separated. In that case, the effectiveness of the collective block of dialogue information will be evaluated.
  • the influence degree of each dialogue information constituting the plurality of dialogue information is separated to judge the validity. Can.
  • the “learning dialogue information validity judgment unit” judges the validity of the dialogue information based on the outputted dialogue information, the learning effect information acquired for the dialogue information, and the learning effectiveness judgment rule. Comparing the learning effect of one old learning point of the same learning unit with another new learning point, it is output from the old time point to the new time point if it is recognized that the learning effect at the new time point is improved. It is determined that the dialogue information is valid. If the learning effect at the new time point is diminished, it is determined that the dialogue information output from the old time point to the new time point is not valid. It is also possible to use learning effect information alone to determine whether the dialogue information is valid.
  • the dialogue information and the learning effect information may not necessarily have a 1: 1 relationship. This is because one dialogue may work effectively for a plurality of learning units. On the other hand, a plurality of dialogues may work effectively for one learning unit, and eventually, the dialogue information and the learning effect information may have a many-to-many relationship.
  • the learning dialogue information validity judgment unit it is clear on the basis of the dialogue information selection rule for each user what kind of action the dialogue information outputted from the dialogue information output unit aims to cause the user to aim at, It is clear which dialogue information and which learning unit to compare. That is, since the dialogue information is selected based on the acquired learning situation information and the held dialogue information selection rule for each user, which learning unit specifically targets the acquired learning situation Will be shown.
  • the learning effectiveness judgment rules can also judge the effectiveness of the guidance dialogue, and can also evaluate the negative reaction of the user. It is conceivable to configure as follows.
  • By judging the effectiveness of the guidance dialogue and the evaluation for the negative reaction of the user it is possible to more accurately reflect the user's attributes in the above-mentioned non-give-up rule and / or the non-give-up process, and tenacious, repetitive to the user It is possible to enhance the system of the dialogue method to be performed, and to capture with that hand.
  • FIG. 46 is a diagram showing a hardware configuration of the fifteenth embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the description of the programs having the same operation as any one of the twelfth to fourteenth embodiments will be omitted.
  • the “learning history validity judgment rule holding program” newly added in the present embodiment holds the learning effectiveness judgment rule.
  • the “learning dialogue information validity judgment program” judges the validity of the dialogue information outputted based on the learning validity judgment rule.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information associated with it in some cases
  • external information including SNS user related information
  • learning history information including SNS user related information
  • learning effect information including SNS user related information
  • learning analysis rules learning status information
  • dialogue information Various setting information etc. such as user-specific dialogue information selection rule, selected dialogue information, learning validity judgment rule, learning validity judgment result, communication not shown, etc. are held in non-volatile memory and loaded into main memory, and a series of It is referred to and used in program execution.
  • FIG. 47 is a diagram illustrating an example of a process flow of the fifteenth embodiment.
  • the first learning user identification information holding step (4701) the first learning SNS user related information acquiring step (4702), the first learning history information acquiring step (4703), the first learning effect information acquiring step (4704), first learning analysis rule holding step (4705), first learning situation information analysis acquiring step (4706), first learning dialogue information storing step (4707), first learning user classified dialogue information selecting rule ( 4708), the first learning dialogue information selecting step (4709), the first learning dialogue information outputting step (4710), the learning validity judgment rule holding step (4711) holding the validity judgment rule, based on the learning validity judgment rule And a learning dialogue information validity judging step (4712) for judging the validity of the dialogue information.
  • the sixteenth embodiment ⁇ Summary of the sixteenth embodiment> In addition to the feature described in any one of the twelfth to fifteenth embodiments, the interactive learning promotion system according to the sixteenth embodiment is characterized in that the effectiveness of the dialogue information is judged using learning history information.
  • Embodiment 16 Configuration of the Invention
  • An example of the configuration of the interactive promotion system according to the sixteenth embodiment is based on the configuration of the twelfth embodiment shown in FIG. 36, and additionally has a learning history validity judgment rule and a learning history dialogue information validity judgment unit. It is. The description of the configuration common to any one of the twelfth to fifteenth embodiments will be omitted, and only the configuration unique to this embodiment will be described.
  • the “learning history validity judgment rule holding unit” holds a learning history validity judgment rule which is a rule for judging whether the dialogue information is valid based on the learning history information acquired with respect to the outputted dialogue information.
  • the “learning history validity determination rule” is a rule that determines from the learning history whether the user follows the dialogue information or the dialogue information has taken an intended action, and determines the validity of the outputted dialogue information. It is determined that the interaction information output when the user takes an action that matches or approaches the specified, proposed, or intended content according to the output interaction information is valid. It is acquired as mentioned above regarding which dialogue information aimed at which learning unit etc. Moreover, it can also be configured to limit the action taken within the predetermined time from the output of the dialogue information. Although it depends on the system design concept, it is possible to determine an appropriate time length in relation to the user attribute, depending on how much time is taken. Generally within a few hours to within a week.
  • the learning history validity determination rule is a rule for determining the validity of the dialogue information based on the learning history information.
  • emphasis is placed on stimulating and improving or maintaining the willingness to learn in order to put on learning behavior habitually. Therefore, although the judgment is to some extent external, the information content of the learning history information can be deepened, and by using the deep information as the rule, the judgment can be made closer to the real. For example, when the user starts learning only half a day after the output of the dialog information for simple learning, it can not be said that the user's willingness to learn is immediately stimulated by the dialog information to enhance the learning motivation, and the output It may be judged that the effectiveness of the dialogue information is low.
  • learning history information may be configured to be used as corrected by external information.
  • the learning history validity judgment rule can also judge the effectiveness of the guidance dialogue as well as the effectiveness judgment rule of the interactive health promotion system, and can also evaluate the negative reaction of the user. It is conceivable to configure as follows.
  • By judging the effectiveness of the guidance dialogue and the evaluation for the negative reaction of the user it is possible to more accurately reflect the user's attributes in the above-mentioned non-give-up rule and / or the non-give-up process, and tenacious, repetitive to the user It is possible to enhance the system of the dialogue method to be performed, and to capture with that hand.
  • Embodiment 16 Learning History Dialogue Information Validity Determination Unit judges the validity of the dialogue information based on the outputted dialogue information, the learning history information acquired for the dialogue information, and the learning history validity judgment rule .
  • the evaluation can be designed to be the highest when the learning history of the user matches the intention of the outputted dialogue information, and the lower the proximity, the lower the evaluation.
  • the evaluation of proximity is (1) the length of time from the output of the dialogue information to the start of the intended learning, (2) the deviation value of the time length in the population, and (3) the intended learning The difference between the standard time defined in the unit and the deviation value of the difference within the population, (4) the difference between the scheduled start time of the intended learning and the actual start time, (5) within the population of the difference Deviation value of (6) Difference with standard time difference defined in the learning unit of difference or deviation value within the population of the difference (7) Duration of learning, (8) Within duration of learning Break frequency (measured by time, number of times etc), (9) blank time length between learning and learning, (10) operation information of learning input device such as keyboard, (11) installed near learning terminal Judgment based on one or more of the user's video analysis results from different cameras, (12) evaluation by the user involved in learning, etc.
  • the learning history dialogue information validity judgment unit may be configured to be able to judge the validity of the dialogue information while the user is taking a learning action, or batch processing (for example, the user is in the middle of the night) Judgment of effectiveness based on the past learning history in the time zone (sleep time zone) where the dialog with the system is not normal (sleep time zone), or when the dialog with the user is interrupted for a long time It is also possible to configure it to
  • Embodiment 16 Hardware Configuration
  • the hardware configuration of the sixteenth embodiment is based on the hardware configuration of the twelfth embodiment shown in FIG.
  • the description of a program that performs a common operation with any one of the twelfth to fifteenth embodiments is omitted.
  • the “learning history validity determination rule holding program” newly added in the present embodiment holds a learning history validity determination rule.
  • the “learning history dialogue information validity judgment program” judges the validity of the dialogue information outputted based on the learning history validity judgment rule.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information associated with it in some cases
  • external information including SNS user related information
  • learning history information learning effect information
  • learning analysis rules learning status information
  • dialogue information Various setting information etc. such as user-specific dialogue information selection rule, selected dialogue information, learning history validity judgment rule, learning history validity judgment result, communication not shown, etc. are held in non-volatile memory and loaded to main memory, It is referred to and used during a series of program execution.
  • the flow of the sixteenth embodiment An example of the process flow of the interactive learning promotion system of the sixteenth embodiment is based on the process flow of the twelfth embodiment shown in FIG. 38, and additionally to the learning history validity step after the first learning dialogue information output step.
  • the learning history validity judgment rule holding step for holding the judgment rule, and the learning history dialogue information validity judgment step for judging the validity of the dialogue information outputted based on the learning history validity judgment rule.
  • the description of the steps for performing the common information processing with any one of the twelfth to fifteenth embodiments is omitted.
  • the interactive learning promotion system according to the seventeenth embodiment is characterized in that, in addition to the feature described in the fifteenth embodiment or the sixteenth embodiment, statistical dialogue information validity judgment is performed by statistical processing of big data.
  • FIG. 48 is a diagram showing an example of the configuration of the interactive learning promotion system of the seventeenth embodiment.
  • the interactive learning promotion system of the seventeenth embodiment includes a first learning user identification information holding unit (4801), a first learning SNS user related information acquisition unit (4802), and a first learning history information acquisition unit.
  • first learning effect information acquisition unit (4804) first learning effect information acquisition unit (4804), first learning analysis rule holding unit (4805), first learning status information analysis acquisition unit (4806), first learning dialogue information storage unit (4807), First learning dialogue information selection rule holding unit for each learning user (4808), first learning dialogue information selecting unit (4809), first learning dialogue information output unit (4810), learning effectiveness judgment rule holding unit (4811), learning dialogue information It comprises an effectiveness judgment unit (4812), learning effectiveness statistical processing rule holding means (4813), and learning statistical dialogue information effectiveness information acquiring means (4814).
  • effectiveness judgment unit 4812
  • learning effectiveness statistical processing rule holding means 4813
  • learning statistical dialogue information effectiveness information acquiring means 4814
  • Learning effectiveness statistical processing rule holding means holds a learning effectiveness statistical processing rule, which is a rule for performing statistical processing of the effectiveness of interaction information of a plurality of users for each common user attribute with respect to the population Means for the learning dialogue information validity judging unit and / or the learning history dialogue information validity judging unit.
  • the effectiveness of the dialog information from the learning effect information or the learning history information according to the dialog information output to a specific user as the processing in the dialog information validity judging unit already described to the specific user It is conceivable to judge the This is because “for each part of the population with common user attributes for the population” can only compare the effectiveness of the dialogue information unless the user has common user attributes for learning. Specifically, it is possible to determine the effectiveness of the dialogue information by using, as a population, users having user attributes in which the learning unit and its upper concepts (learning items, learning categories, etc.) are common. Although the effectiveness of dialogue information can be judged in relation to individual individuals, statistical effectiveness can also be judged for groups. In this system, it is premised that some attribute information of the user is held in association with the user identification information. It is preferable that the learning status information is also held as attribute information for each user.
  • the weighting can be used to determine the order of high effectiveness. Since it is considered more effective to weight the judgment results of individuals individually, it is effective, for example, to weight information on dialogue information judged to be effective in individuals, and information on dialogue information judged to be effective by statistical processing. It can be considered to incorporate in the user-by-user dialogue information selection rule a weighting of about 7: 3, 6: 4.
  • “Learning effectiveness statistical processing rule” is to determine the sameness of the intention of the dialogue information different for each user arranged to the user attribute and the rule for acquiring the statistical effectiveness of certain dialogue information
  • the rule of is composed of two.
  • dialogue information attribute information is attached to the dialogue information, and processing may be performed so as to determine the identity of the intention.
  • processing may be performed so as to determine the identity of the intention.
  • each user evaluates the numerical value of the numerical evaluation based on learning effect information and learning history information for the advice included in the dialogue information.
  • statistical processing can also be performed statistically using learning effect information or / and learning history information associated with dialogue information accumulated in the past.
  • the acquisition of the effectiveness may be configured to be acquired according to the change in the learning status information before and after the output of the dialogue information. This is the same in statistical processing and in the case of not performing statistical processing.
  • the learning effectiveness statistical processing rule can be configured to be able to judge statistical effectiveness also for the evaluation on introduction dialogue and negative reaction of the user.
  • the introductory dialogue information, the evaluation for negative reaction, and the description of the type of personality have been described in the sixth embodiment of the interactive health promotion system.
  • the user attribute information is configured to be held in a user attribute information holding unit or the like in association with the user identification information, but the user attribute information is a user based on the dialogue information, the response information, and the user attribute information judgment rule.
  • the user attribute information held in the attribute information holding unit may be updated.
  • a character diagnosis test to be described later may be performed regularly or irregularly (using character diagnosis dialogue information or the like) to update the held user attribute information.
  • a score is stored for each personality type and then a median is assigned or a questionnaire is given to the user and the questionnaire result is retained.
  • the character may be configured to analyze the conversation information of the SNS by the conversation information analysis unit based on the conversation information analysis rule to determine the character. Since huge conversations with friends etc. are accumulated in SNS, this can be used effectively. Furthermore, it may be configured to analyze the reading tendency introduced in the SNS, the tendency of the preference of the movie, the preference of the music, the taste, the favorite entertainer or the celebrity, and the like to determine the character.
  • Information related to learning of user attribute information includes nationality, language used, experience of studying abroad, country of study abroad, school year, class, gender, belonging school, belonging school, belonging communication learning course (learning course in learning system) , Affiliation class, science or culture, subject being studied, learning unit, desired school, course, home school, home school, home club, school, affiliation class (first rank, second grade, etc.), job title, length of study duration for study (time ), Winning experience in competitions, etc., participation experience in competitions etc. The method of acquiring these pieces of information has already been described in the twelfth embodiment.
  • Embodiment 17 Learning Statistical Dialogue Information Validity Information Acquisition Means
  • Learning statistical dialogue information effectiveness information acquisition means makes the effectiveness of the dialogue information statistically at least in the population based on the dialogue information of a plurality of users and the held learning effectiveness statistical processing rules.
  • a part is a means included in the dialogue information validity judgment unit which acquires statistical dialogue information validity information judged for each common user attribute.
  • some attribute information of the user is held in association with the user identification information, and such attributes constitute a population, and the attributes are common.
  • By collecting the effectiveness information of the dialogue information for each population it is possible to obtain statistical dialogue information validity information for at least a part of the population for each common user attribute.
  • Training statistical dialogue information effectiveness information is a result of processing statistically, according to the user attribute etc. effectiveness of dialogue (from low effectiveness to high effectiveness) and various dialogues having each effectiveness It is information that expresses the number of types of information as a function, and is generally normally distributed.
  • FIG. 22 is one example of learning statistical dialogue information validity information (described in the seventh embodiment).
  • the number of dialog information with the effectiveness "medium” is the largest (the number of types of dialog information that is the average of the effectiveness is the largest), and conversely the number of dialog information with the effectiveness "high” and the effectiveness "low”.
  • FIG. 49 is a diagram showing a hardware configuration of the seventeenth embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs constituting the hardware of the seventeenth embodiment as shown in this figure the description of the programs having the common operation with the fifteenth embodiment or the sixteenth embodiment will be omitted.
  • the “learning effectiveness statistical processing rule holding program” newly added in the present embodiment holds the learning effectiveness statistical processing rule.
  • the “learning statistical dialogue information effectiveness information acquiring program” acquires learning statistical dialogue information validity information based on the learning effectiveness statistical processing rule.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information associated with it in some cases
  • external information including SNS user related information
  • learning history information learning effect information
  • learning analysis rules learning status information
  • dialogue information User-specific dialogue information selection rules, selected dialogue information, learning effectiveness judgment rules, learning effectiveness judgment results, learning effectiveness statistical processing rules, learning statistical dialogue information validity information, various settings such as communication not shown, etc.
  • learn effectiveness statistical processing rules learning statistical dialogue information validity information, various settings such as communication not shown, etc.
  • FIG. 50 is a diagram illustrating an example of a process flow of the seventeenth embodiment.
  • the first learning user identification information holding step (5001) the first learning SNS user related information acquiring step (5002), the first learning history information acquiring step (5003), the first learning effect information acquiring step (5004), first learning analysis rule holding step (5005), first learning situation information analysis acquiring step (5006), first learning dialogue information storing step (5007), first learning user classified dialogue information selecting rule holding step ( 5008), first learning dialogue information selecting step (5009), first learning dialogue information outputting step (5010), learning effectiveness judgment rule holding step (5011), learning dialogue information validity judging step (5012), learning effectiveness Learning effectiveness statistical processing rule holding substep (5013) holding statistical processing rules, learning available
  • the eighteenth embodiment ⁇ Outline of the eighteenth embodiment> The interactive learning promotion system of the eighteenth embodiment is characterized in that, in addition to the feature described in any one of the fifteenth to seventeenth embodiments, the user-specific dialog information selection rule is updated based on the validity judgment result. Do.
  • FIG. 51 is a diagram showing an example of the configuration of the interactive learning promotion system of the eighteenth embodiment.
  • the interactive learning promotion system according to the eighteenth embodiment includes a first learning user identification information holding unit (5101), a first learning SNS user related information acquiring unit (5102), and a first learning history information acquiring unit.
  • the “learning user-specific dialogue information selection rule updating unit” is a learning information-specificity judging unit or / and the learning history dialogue information validity judging unit, and the “interactive information selecting rule holding unit for each user”. Update the per-user dialog information selection rule that is held. To update is to update the validity associated with the interaction information for each user. If there is a change in the user-by-user effectiveness conventionally associated with the dialogue information as a result of the effectiveness determination, processing for associating with the latest effectiveness is performed.
  • FIG. 25 is a diagram showing the function of the user-by-user dialogue information selection rule updating unit, and the outline has been described in the eighth embodiment.
  • This selection is also a process of changing the priority selection order of the dialogue information stored in the dialogue information storage unit (including the first and the second).
  • Validity is held separately for effectiveness judged based on learning effect information, effectiveness judged even based on learning history information, effectiveness judged based on other response dialogue information, and information based on that May be configured.
  • the effectiveness may be expressed as frequency to be selected as dialogue information, and the number of times to be selected as dialogue information during guidance dialogue.
  • the validity may be configured to be associated according to the avatar as the speaker and the type of speech.
  • FIG. 52 is a conceptual diagram showing an outline of an operation of AI (Artificial Intelligence) for updating a selection rule in the eighteenth embodiment.
  • AI Artificial Intelligence
  • the present interactive learning promotion system holds user-specific dialogue information selection rules reflecting personal characteristics.
  • the individual characteristics of each user reflected here are the form of dialogue information such as wording in conversation, the contents of dialogue information corresponding to learning status information, the timing of outputting dialogue information, the output interval of dialogue information, guidance It will be reflected in the arrangement of the dialogue, the process which does not give up (the repetition of the dialogue information of the same intention), the choice of the avatar etc which outputs dialogue information, etc.
  • the learning situation information C and the other numerical values are identical except that the number of consecutive days for learning of a certain subject differs by 12 days, it is selected for the learning situation information C as similar learning situation information. It selects and outputs dialogue information (5209) "Let's study for a while! Which is dialogue information similar to the dialogue information.
  • the learning effect information of “Q3 answer mistake” (5210) is acquired for the outputted dialogue information, the user has learned only one question (learning history information) and is incorrect It is recognized that it is finished.
  • FIG. 53 is a diagram showing the hardware configuration of the eighteenth embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs constituting the hardware of the eighteenth embodiment as shown in this figure the description of the programs having the same operation as any one of the fifteenth to seventeenth embodiments will be omitted.
  • the "learning user classified dialogue information selecting rule update program" newly added in the present embodiment updates the user classified dialogue information selecting rule according to the validity of the dialogue information.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • the non-volatile memory holds various setting information, such as user-specific dialogue information selection rules, selected dialogue information, learning validity judgment rules, learning validity judgment results, update user-specific dialogue information selection rules, and communication not shown, It is loaded into the main memory, referred to, and used when executing a series of programs.
  • FIG. 54 is a diagram illustrating an example of a process flow of the eighteenth embodiment.
  • the nineteenth embodiment ⁇ Outline of the nineteenth embodiment> The interactive learning promotion system according to the nineteenth embodiment has the feature of the seventeenth embodiment or the eighteenth embodiment based on statistical dialog information validity information in addition to the features of the eighteenth embodiment based on the seventeenth embodiment or the seventeenth embodiment. It is characterized in that the user-by-user dialogue information selection rule held is updated.
  • FIG. 55 is a diagram showing an example of the configuration of the interactive learning promotion system of the nineteenth embodiment.
  • the interactive learning promoting system of the nineteenth embodiment includes a first learning user identification information holding unit (5501), a first learning SNS user related information acquiring unit (5502), and a first learning history information acquiring unit.
  • first learning effect information acquiring unit (5504) first learning effect information acquiring unit (5504), first learning analysis rule holding unit (5505), first learning status information analysis acquiring unit (5506), first learning dialogue information storage unit (5507), First learning dialogue information selection rule holding unit (5508), first learning dialogue information selecting unit (5509), first learning dialogue information output unit (5510), learning effectiveness judgment rule holding unit (5511), learning dialogue information Validity judgment unit (5512), learning effectiveness statistical processing rule holding means (5513), learning statistical dialogue information effectiveness information acquiring means (5514), learning statistical user-specific dialogue information selection Lumpur updating section (5515), consisting of.
  • the description of the configuration common to the seventeenth embodiment or the eighteenth embodiment is omitted, and only the configuration unique to the present embodiment will be described.
  • ⁇ Embodiment 19 Learning statistical user-specific dialogue information selection rule updating unit>
  • the “learning statistical user-by-user dialogue information selection rule updating unit” updates the by-user dialogue information selection rule held in the by-user dialogue information selection rule holding unit on the basis of the acquired statistical dialogue information validity information.
  • the other points are the same as in the eighteenth embodiment.
  • FIG. 56 is a diagram showing the hardware configuration of the nineteenth embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs constituting the hardware of the nineteenth embodiment as shown in this figure the description of the programs having the same operation as any one of the seventeenth embodiment or the eighteenth embodiment based on the seventeenth embodiment will be omitted. .
  • the “learning statistical user-by-user dialogue information selection rule updating program” newly added in the present embodiment updates the user-by-user dialogue information selection rule based on learning statistical dialogue information validity information.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information associated with it in some cases
  • external information including SNS user related information
  • learning history information learning effect information, learning analysis rules, learning status information
  • dialogue information User-specific dialogue information selection rules, selected dialogue information, learning effectiveness judgment rules, learning effectiveness judgment results, learning effectiveness statistical processing rules, learning statistical dialogue information validity information, update user-specific dialogue information selection rules,
  • setting information and the like such as non-communication are held in the non-volatile memory, loaded into the main memory, and referred to and used in executing a series of programs.
  • FIG. 57 is a diagram illustrating an example of a process flow of the nineteenth embodiment.
  • Embodiment 20 ⁇ Outline of the twentieth embodiment>
  • the twentieth embodiment is an invention in which the twelfth embodiment is described in a methodological manner, and basically, the concept of the twelfth embodiment of the present invention is expressed as a computer operation method.
  • the twenty-first embodiment ⁇ Outline of the twenty-first embodiment> is an invention which describes the method of the twelfth embodiment, and basically the category of the invention of the twelfth embodiment is expressed as an operation method of a computer.
  • Embodiment 21 Configuration of the Invention
  • the configuration of the operation program of the interactive learning promotion system shown in the twenty-first embodiment is the same as the configuration shown in FIG. The description of each configuration is omitted since it has been described in the twentieth embodiment.
  • Embodiment 22 ⁇ Embodiment 22 Outline of the Invention>
  • the interactive purchase promotion system uses the purchase history information and the advertisement transmission history information in addition to the user's speech information and browsing information in the SNS, and uses the purchase history to show the increased motivation toward the user's purchase.
  • An object of the present invention is to strengthen the user's purchase motivation by acquiring situation information and outputting to the SNS a dialogue in accordance with the purchase status which is the degree of motivation towards the user's current purchase.
  • FIG. 58 is an image conceptual diagram showing the relationship between an interactive purchase promotion system, various SNS, advertisement and the like.
  • the interactive purchase promotion system outputs dialogue information through the SNS 2 (5804).
  • SNS user related information (5805a) that can be acquired through SNS1 and / or SNS user related information (5805b) that can be acquired through SNS2
  • this interactive purchase promotion system is information (5806) about goods that the user browsed through a personal computer etc.
  • the advertisement advertisement transmission history information (5807) etc. regarding the advertisement provided to the user by the company is acquired.
  • the user may be configured to acquire life log information (5809) or the like at which the user actually visited the store (Embodiment 23).
  • FIG. 59 is an image conceptual diagram when performing purchase promotion advice to a user who has an interactive purchase promotion system.
  • the interactive purchase promotion system (5901) is a conversation information transmitted by the user (5902) registered in the interactive purchase promotion system using SNS etc. on a daily basis ("I want to buy a car soon.” Information on the remarks of the new car (viewing related articles of new cars, car's car, etc.) Confirm the trial calculation of the purchase assessment, automatically acquire (5904) user-specific information (5903) such as DM from multiple automobile companies.
  • the purchase status information (5906) is obtained by analyzing (5905) the obtained information.
  • the interactive purchase promotion system determines the background purpose from the acquired purchase status information and selects appropriate dialogue information for achieving the purpose.
  • the interactive purchase promotion system uses external information such as an utterance on SNS, advertisement advertisement transmission history possessed by a company and purchase history of a user for analyzing the purchase status of the user.
  • external information such as an utterance on SNS, advertisement advertisement transmission history possessed by a company and purchase history of a user for analyzing the purchase status of the user.
  • the acquired external information and the like are analyzed to analyze the "purchase intention" of the user, thereby analyzing and acquiring the "current purchase status information”.
  • the contents of dialogue information such as optimal ad ice are selected from the "current purchase status information" obtained by analysis, and the user is most suitable in accordance with the familiar or persuasive tone
  • the dialogue information which is the content of the advice selected using the tone is output.
  • FIG. 60 is a diagram showing an example of the configuration of the interactive purchase promotion system of the twenty-second embodiment.
  • the interactive purchase promotion system of the twenty-first embodiment includes a first purchase user identification information holding unit (6001), a first purchase SNS user related information acquisition unit (6002), and a first purchase history information acquisition unit. (6003), first purchase advertisement advertisement transmission history information acquisition unit (6004), first purchase analysis rule holding unit (6005), first purchase purchase status information analysis acquisition unit (6006), first purchase dialogue information storage unit (6003) 6007), a first purchase user classified dialogue information selection rule holding unit (6008), a first purchase dialogue information selection unit (6009), and a first purchase dialogue information output unit (6010).
  • Embodiment 22 First Purchasing User Identification Information Holding Unit
  • the “first purchase user identification information holding unit” holds user identification information that identifies a user who has a purchase history of a specific product using the SNS.
  • the "specific product” is a product for which purchase promotion is aimed at in the interactive purchase promotion system, and the "product” in the present specification may be either a product only, a service only, or a product or service.
  • the products include not only marketed products but also non-marketed products such as buildings, real estate, arts and crafts, single point paintings, sculptures, handicrafts, antiques, etc.
  • Other services include movie screenings, theater performances, information provision, consulting, marketing, medical treatment by doctors, medical treatment outside insurance coverage, transportation, transportation, transportation, power generation, power transmission, and various other services.
  • the user identification information is only required to identify the user in the interactive purchase promotion system, but the identification of the user may be configured to be performed for each specific product. It is common to hold the name, address, telephone number, e-mail address, user-specified ID, date of birth, occupation, age, gender, etc. in relation to the user identification information, and it is related to health Information (eg, height, weight, average body temperature, average pulse rate, average respiratory rate, average heart rate, average exercise amount (time, quality, form etc.), presence or absence of gym visits, etc.) One or more of the information may be held.
  • health Information eg, height, weight, average body temperature, average pulse rate, average respiratory rate, average heart rate, average exercise amount (time, quality, form etc.), presence or absence of gym visits, etc.
  • this interactive purchase promotion system in addition to or in place of the physical information of the user, information identifying a specific product for which the user has a purchase history, currently owned information that is information related to the user's purchase If you are using a specific product that you are or are using, the type of product or product that you may substitute, the purchase date of the product you are currently using, your income, the borrowing status, the credit card you are using (including the card number) Stock information, virtual currency (type, amount) held, bank (account number) used, family structure, friendship relationship, work place, length of service, job title at work place, work place industry, school destination , Place of work, place of commuting, commuting route, school route, school from school, previous work place, commuting transportation, commuting transportation, home nearest station, working hours, working hours, holidays, hobbies and preferences (food, drinks, clothes, Music, movies, reading , Perfume, color, clock, car, personal computer maker, brand, play, collection, hairstyle, nail, accessory, cigarette,
  • the life log indicating the physical condition of the user includes heart rate, pulse rate, respiration rate, body temperature, degree of muscle contraction / relaxation, electroencephalogram, blood flow rate, blood oxygen concentration, blood alcohol content, allergic reaction It may be configured to include one or more of the degree, the degree of accumulation of the fatigue material, and the like. These are acquired from a wearable terminal worn on the body and capable of measuring the condition of the body, or a physical data measuring device which is not worn on the body but has a communication function.
  • the portable memory for example, USB memory, IC card (including a prepaid card having an RFID function), portable disk drive, optical recording medium, porcelain memory, etc.
  • USB memory for example, USB memory, IC card (including a prepaid card having an RFID function), portable disk drive, optical recording medium, porcelain memory, etc.
  • portable memory which is stored in portable memory without communication but is portable It can also be obtained from In the case of a prepaid card, it is possible to obtain data indicating the physical condition by receiving information about the physical condition at the time of medical checkup and payment of a treatment fee by a doctor and acquiring this.
  • the user attribute information held in association with the user identification information may be configured to be registered by the user at the start of use of the interactive purchase promotion system. With this registration, the interactive purchase promotion system can be configured to be available. Furthermore, the user attribute information can be configured to be transferred or acquired from another system already used by the user. For example, data such as a store having a usage history, a department store, a supermarket, a product purchase site on the web, a product purchase system based on an application, household finance software used by a user, tax administrator managed by a user Information obtained from a computer system, a system of electronic money used by a user, information from a system of credit card used by a user, data held by a facility such as a training application can be used.
  • the registration of the user attribute information is (1) the first purchase (or the viewing and receiving of the advertisement) if there is a purchase history (or the advertisement advertisement sending history or the reception history), or the second or later purchase ( Alternatively, the user attribute can be registered at the time of viewing and receiving the advertisement.
  • This registration can be configured to be registered via the Internet if the purchase (or browsing of the advertisement) is via the Internet.
  • the cookie is transmitted to the terminal at the time of the first purchase (or viewing and receiving of the advertisement), and the second and subsequent purchases At the time of registration, it is also possible to configure to record retrospectively access / purchase results recorded via the cookie of the purchase web page of the same terminal as purchase history.
  • the purchased net itself is registered at a place such as a member-oriented shopping mall or web shopping of a credit card company, it is possible to divert the registered user attribute when registered in the shopping mall.
  • user attribute registration items at the time of diversion information and new purchase may be mixed and used as user attributes.
  • the registration can be configured to be web off-line (postcard, letter, e-mail, etc.). In the case of offline registration, it may be configured to be input by a human input operation or by mechanical character reading.
  • the user attribute may be registered from a letter, a web site, etc., at the time of mail order membership registration.
  • the same is true for mail order services made by credit card companies.
  • registration of the user attribute of the user who only accesses the advertisement can be registered from the advertisement registration registration application web screen or registered by mail when registering the push notification of the advertisement. It may be configured.
  • the registration of the user attribute can also be made by registering a more detailed user attribute and combining it as the user attribute, when there is a product purchase after the push notification registration of advertisement and the like.
  • the “first purchase SNS user related information acquisition unit” acquires, as external information, SNS user related information which is user related information including the utterance of the SNS used by the user in association with the user identification information.
  • SNS user related information which is user related information including the utterance of the SNS used by the user in association with the user identification information.
  • SNS user related information and “SNS” have been described in the first embodiment regarding the interactive health promotion system.
  • Embodiment 22 First Purchase History Information Acquisition Unit
  • the “first purchase history information acquisition unit” acquires purchase history information that is information indicating the purchase history of the specific product in association with the user identification information.
  • the purchase history information is output from the interactive purchase promotion system in addition to the purchase point when the user purchased the specific product in the past, the purchase price, the purchase store information, and the purchase assessment price information of the current product.
  • the date and time of purchase when purchasing a specific product, purchase price, and information on the store where the purchase is made are also included. It is conceivable that purchase history information is provided from a shop of a purchaser, that is, a company or the like who practices an approach for purchasing a specific product to the user through the use of the present system.
  • the purchase history information includes information that has been purchased for the Nth time but not yet purchased for the N + 1th time. For example, it is an action of a user performed with a seller or manufacturer of a specific product or the like at the pre-purchase stage.
  • the “first purchase advertisement advertisement transmission history information acquisition unit” acquires advertisement advertisement transmission history information which is a transmission history of advertisement of the specific product which may be touched by the user in association with the user identification information.
  • the “advertising advertisement transmission history information” is a history of information transmitted for the promotion of a specific product. Therefore, for example, TV commercials, newspaper ads, magazine ads, radio CMs, in-car ads, newspaper insert flyers, DM, SNS outgoing news, press releases, company bulletins, company HP, magazine feature articles, TV program features, events etc Various information can be considered.
  • the advertisement advertisement transmission history includes those which are transmitted specifying users and those which are transmitted to unspecified persons.
  • the “first purchase analysis rule holding unit” acquires purchase status information by analyzing external information, purchase history information, advertisement advertisement transmission history information, in association with user identification information, from the viewpoint of grasping the purchase status.
  • the first purchase analysis rule which is the rule for Since the first purchase analysis rule is associated with the user identification information
  • the first purchase analysis rule is a purchase analysis rule that matches the characteristics of the user.
  • the ultimate purpose of the interactive purchase promotion system is to realize the continuation of voluntary purchase of a specific product. In order to realize the continuation of voluntary purchasing, in order to make the habitation of purchasing wear, to improve the buying motivation for wearing this habit, and to maintain the wearing habit It will be necessary to maintain the purchase intention.
  • This interactive purchase promotion system is a dialogue system for realizing improvement and maintenance of the purchase intention. Therefore, the purchase analysis rule is a rule for each user for performing analysis acquisition of purchase status information for each user, which is required to improve and maintain the purchase desire.
  • the “purchase status information” is information indicating a sense of distance between the specific product and the user, to what extent the user is willing to purchase the specific product. For the calculation of sense of distance, as "information acquired from external information", the amount of speech in the SNS to information related to a specific product, the frequency of speech, the change in the volume of speech, the change in speech frequency, the degree of friendship, etc.
  • the usage frequency, usage frequency, and consumption frequency of the specific product inferred from the statement can be mentioned, and “information acquired from purchase history information” is the number of repeat purchases of the specific product within a predetermined period
  • the number of repeat purchases, repeat purchase duration (years, months, weeks, days), change in repeat purchase interval, or any one or more of the following can be cited as "information to be acquired from advertising advertisement transmission history information"
  • the quantification of the sense of distance uses the first purchase analysis rule. This rule is configured to calculate the sense of distance by quantifying and combining external information, purchase history information, and advertisement transmission history information.
  • the mental state of the user is analyzed, and it is calculated that the better the mental state is, the higher the effectiveness, and the worse the mental state, the lower the effectiveness.
  • a mental state creating a situation where words and gestures that are presumed to be in a state of "relief”, “mental stability”, “relax” etc. as external information can be created as external information, maintaining the situation Can be mentioned.
  • the mental health situation is good, not only bad, but also relief, anxiety, appreciation, startle, excitement, curiosity, sexual curiosity, calmness, irritability (irritability), wonder (embarrassment), good luck, relaxation, tension, Honor, responsibility, respect, closeness (intimacy), ashamed (demeanor), desire (motivation), fear, courage, pleasure, remorse, satisfaction, frustration, remorse, hate, shame, contempt, ashamedy, guilt, murderous intent, expectation Feeling of superiority, inferiority, hate, suffering, sadness, sadness, emotion, anger, licking, hopelessness, hate, emptiness, and other mental situations should be rated and configured to be used in the calculation of the degree of friendship You can also.
  • the friendship degree is calculated according to the degree of paying attention to the specific product, the friendship degree is obtained according to the degree of interest in the specific product, or the friendship degree is obtained according to the amount of association regarding the specific product.
  • the friendship degree is obtained according to the degree of interest in the specific product, or the friendship degree is obtained according to the amount of association regarding the specific product.
  • obtain a degree of friendship according to the amount of desire related to a specific product, obtain a degree of friendship based on the large amount of comparison regarding a specific product, or according to the amount of certainty regarding goodness
  • the degree of friendship can be obtained or the degree of friendship can be obtained according to the strength of the purchase decision regarding a specific product.
  • the change of the repeat interval can be quantified so that the sense of distance becomes closer when the repeat interval becomes constant or short, and can be quantified so that the sense of distance becomes distant when the repeat interval becomes long.
  • the interval may be evaluated in accordance with whether the specific product is a mass-consumption product such as beer or a high-end consumer product such as an automobile.
  • the sense of distance becomes closer as the access frequency to the information related to the specific product becomes higher, and the access frequency Quantify the lower the distance so the sense of distance gets farther.
  • the sense of distance is closer as it increases Quantify as you want, and quantify so that the sense of distance gets farther as you decrease.
  • the purchase status information is acquired by integrating these three types of information. How each element is weighted depends on the design concept of the system.
  • the points may be considered that emphasis is placed on purchase history information, secondly on external information, and finally on advertisement advertisement transmission history information.
  • the points For example, if each of the points is 100 points based on three types of information, weighting is changed for each user based on the user's attribute, the past three types of information and the purchase history information, for example, purchase 60% of historical information points, 30% of external information, 10% of advertising advertisement transmission history information, 40% of purchasing history information points, 40% of external information, and 20% of advertising advertisement transmission history information Setting etc. can be considered.
  • the “first purchase purchase condition information analysis acquisition unit” is a first purchase relationship associated with the same user identification information as the acquired external information associated with the user identification information, the purchase history information, the advertising advertisement transmission history information, and the like.
  • Purchase status information is acquired based on purchase analysis rules.
  • the purchase status information may include the user's mental state type and the like as the accompanying information in addition to the quantified value which is a sense of distance to the purchase.
  • the acquired purchase status information may be stored in the first purchase purchase status information analysis acquisition unit in association with the user identification information and the output dialogue information, including the past ones, or the user identification information And may be stored as part of user attribute information stored as information associated with the user.
  • Embodiment 22 First Purchase Dialogue Information Storage Unit
  • the “first purchase dialogue information storage unit” stores dialogue information to be transmitted according to the purchase status information acquired in association with the user identification information.
  • the dialogue information is stored in a database as any and every conversation that may be spoken in the general society.
  • examples of conversation examples, words and still images, videos, robot programs, animations, pictures, avatars, etc. that are the basis for giving advice to users on purchasing or purchasing habits.
  • Languages may be stored in a language understood by the user, or dialog information may be stored in a standard language such as Japanese, English, or Chinese, and configured to be translated and selected according to the user's language used You can also Therefore, based on the language dictionary database, conversation dictionary database, etc., the foundation is built in advance, and further SNS, information provision site, company advertisement site, bulletin board site, telephone call contents, etc. It is preferable to accumulate dialogue information collected from all sources that can be viewed and collected. These may include, for example, dialects, gal words, pictograms, emoticons, secret words, coined words, new words, abbreviations, idioms, etc., which are collected by artificial intelligence and gradually improve speech accuracy (intentionally accurate) Preferably).
  • the purchase promotion advice is performed using a specific product name, a specific store name, a specific company name, a specific part name, a specific function name, and a coined word. Since it is not always possible to obtain a specific proper noun or coined word surely from the net, it is preferable to configure so that a special language group can be input by a person directly inputting to the storage unit.
  • the interactive purchase promotion system is as concerned with the user as it is by reflecting on the individuality of each user and selecting and outputting the dialogue information so as to be a natural conversation for the user. It is characterized by having the feeling as if you are in contact with a living human being. Therefore, according to the user's daily conversation, whether to use polite language, rough language with spoken language, or dialects such as Osaka dialect or Hakata dialect, words that mix English in the document It is preferable that dialogue information be stored so that not only the choice of the contents of the conversation, such as whether it will be lost, but also the type of conversation can be selected.
  • the first purchase dialogue information storage unit may store dialogue information as being different even if the dialogue has the same meaning for each difference in formation of the dialogue.
  • the first purchase dialogue information storage unit accumulates only the most basic dialogue information for each meaning, and the first purchase dialogue information output unit described later selects the basic selected from the first purchase dialogue information storage unit.
  • a rule for converting the basic dialogue information into a dialogue style conforming to the characteristics of each user is included in the user-by-user dialogue information selection rule.
  • the dialogue information accumulated in the first purchase dialogue information accumulation unit may be configured to be able to be displayed on the interface monitor.
  • the dialogue information storage unit management means is the first purchase dialogue information storage unit so that management actions such as addition, change and deletion of dialogue information can be manually performed from the interface screen on which the accumulated dialogue information is displayed. It can be considered that the communication information storage unit management unit is provided as a new configuration.
  • the management action of the first purchase dialogue information storage unit is assumed to be performed by a person who manages and provides the interactive purchase promotion system.
  • the “first purchase user classified dialog information selection rule holding unit” holds the user classified dialog information selection rule which is a rule associated with the user identification information for selecting the accumulated dialogue information based on the acquired purchase status information Do.
  • the user-specific dialog information selection rule reflects the individuality of each user in order to make the user feel as if he or she is in contact with a real human being who is concerned about himself. It is a rule for selecting dialogue information so as to be a natural conversation. Select the form of conversation according to the form of the user's dialogue from the SNS user transmission information etc.
  • the attributes of the user are age, gender, birthplace, present address, nationality, language used, SNS conversation (dialogue) format, SNS friend conversation (dialogue) format, favorite clothes type, favorite movie type , Favorite book type, favorite celebrity type (talent, actor, politician, writer, singer, entertainer, historical person, announcer, character) and the like.
  • the user-specific dialogue information selection rule is selected such that the format corresponding to the individuality of the user is selected from the first purchase dialogue information storage unit Configure. If the selection rule includes information indicating the user's mental state in the purchase status information, the selected dialogue information may be changed according to the user's mental state.
  • the dialogue information accumulated from this point of view is a variety of accumulated dialogue information that can be empathic, such as dialogue information that conveys affection, dialogue information that conveys liking, dialogue information that gives up the other party, dialogue information that encourages the other party, etc. Is preferred.
  • the user since the user always responds from a negative comment, he / she is unwilling to refuse if asked repeatedly, or he / she hates over-emphasis although it is not so disgusting as it is, it is the personality of the user that he hates it for the time being. If it is acquired as information etc., it can not be said that the output dialogue information is not effective only by a few negative responses from the user, and the user can accept the output of the same dialogue information on average If it is recommended that the process be repeated according to the result of statistical analysis with the attribute as the attribute, it is recommended that the dialogue information selection unit select the correspondence until it is repeated until the specified number of times exceeds the required number. Is considered. That is, it is possible to include such a non-yielding rule (sub-step, sub-rule) or a process not giving up in the user-specific dialogue information selection rule, or a process including this.
  • a non-yielding rule sub-step, sub-rule
  • Embodiment 22 First Purchase Dialogue Information Selection Unit
  • the “first purchase dialogue information selection unit” selects dialogue information from the first purchase dialogue information storage unit based on the purchase status information and the user-specific dialogue information selection rule held, and selects the characteristic for each user. Convert to the interactive information of the interactive style.
  • the “first purchase dialogue information selection unit” selects dialogue information from the first purchase dialogue information storage unit based on the acquired purchase status information and the held user dialogue information selection rule.
  • dialogue information is stored in the first purchase dialogue information storage unit for each difference in the dialogue form, it is possible to select the dialogue information matching the dialogue form and the dialogue content selected by the user-by-user dialogue information selection rule Become.
  • the basic dialogue information is selected from the first purchase dialogue information storage unit, and the selected dialogue information matches the dialogue style specified in the user-specific dialogue information selection rule Convert.
  • the basic dialogue information may indicate not a word itself but a group of words.
  • identification information is given to the dialogue information expressing the feeling of gratitude, and this is selected, and then “thank you”, “thank you”, “thank you”, “big chance”, “thank you” It is configured to select one of expressions such as “Thank you”.
  • the dialog information that is the basis is selected from the dialog information storage unit according to the dialog content specified by the user-specific information selection rule, and the selected dialog information is specified in the user-specific dialog information selection rule It is converted to the interactive form that conforms to.
  • the above work is the selection of dialogue information. This selection is configured to be made instantaneously by the computer. Specifically, when the input from the user is accepted via the SNS, the user has a speed for displaying a reply on the screen without giving a margin for closing the screen of the SNS. As an example, it is about 1 second or less on average.
  • Embodiment 22 First Purchase Dialogue Information Output Unit
  • the “first purchase dialogue information output unit” outputs the selected dialogue information to the user identified by the user identification information via the SNS.
  • the speed at which the first purchase dialogue information output unit outputs the dialogue information is the speed at which the first purchase dialogue information output unit responds immediately to the user's input if necessary. If the user closes the SNS screen, the risk of leaving from the system side not being read is increased. In addition, it is not necessary to always respond immediately, and there may be a kind of transmission that is output with time. For example, in the case of a conversation in which the result of the advice is heard.
  • the output is a user's portable terminal, a fixed terminal such as a desktop personal computer, or the like.
  • the SNS to be output may be an application dedicated to the present interactive purchase promotion system, or an SNS service managed and provided by another system that is not exclusively for the interactive purchase promotion system used routinely by the user. It is also good.
  • the format of the output is not limited as long as the information can be transmitted to the user, such as characters, illustrations, sounds, images, and moving pictures.
  • SNS service that you use on a daily basis with real people, rather than using dedicated applications. It will be effective as it will display purchasing promotion advice and purchasing habit establishment advice from the interactive purchase promotion system naturally. Effective is that the advice from the interactive learning promotion system is found naturally on a daily basis, so it is effective not to have a strong sense of interacting with the system (inorganic computer or server). It is the reason to become.
  • the output from the interactive learning promotion system is set so as not to give unread notification to the status bar or icon of the smartphone using the SNS service of the output destination, for example, or the chat head can not appear. If configured, it is more effective because the above effect can be ensured. On the contrary, since a chat head etc. is immediately visible with a smart phone etc., a feeling of distance with this system becomes small, and is preferable.
  • the dialogue information to be output includes ones including a question form, ones including an advice, a greeting, an anomalous sound, etc., and neither the content nor the form is limited.
  • the user terminal is defined as a guest user to distinguish it from the case where the interactive purchase promotion system is activated, the user is called the calling telephone number, voice, name, member at the time of the first voice call.
  • the guest user's attribute information preferences, how to talk, how to make sense, hobbies, etc.
  • the output of the dialogue information is generated by the SNS enabled terminal which is not possessed by the user receiving the voice telephone, and the output as the voice is delivered to the guest user through the telephone. It can be said that it is an output of dialogue information via SNS.
  • the output of the dialogue information through the SNS is an output as a speech of a friend or the like of the user participating in the SNS. Therefore, since it is preferable to have a conversation as a friend or the like that looks as unique as possible to the user, it is preferable to use multiple names so that the same name does not overlap between users as much as possible.
  • the name may be freely set at the time of initial user registration.
  • an attribute for determining an element used for conversation selection may be freely set at the time of user registration. For example, gender, age, personality, avatar, clothes, life rhythm, hobbies, etc. of friends who are the system.
  • the output of the dialogue information may be configured to output the dialogue information not only by one character worn by the interactive purchase promotion system but also by a plurality of characters.
  • one character may be a cheering player, and the other may be a comforter, so that characters can be divided to effectively affect the user.
  • the setting of the character can also be configured to be selected based on the acquired external information, purchase history information, advertisement transmission history information, and the like.
  • An appropriate character can be selected according to the content (attribute) of the conversation information to be output. Therefore, an attribute is added to the conversation information and stored in the first purchase dialogue information storage unit, and a character corresponding to the attribute information is selected in the first purchase dialogue information output unit so as to compose an utterance on the SNS. It is good.
  • the speech of a friend or the like who is the system may be switched according to the position information. For example, when going out to Osaka, friends of Osaka Ben appear, and when going out to Kyushu, friends of Kyushu Ben appear.
  • a friend or the like in Osaka may be configured to select a conversation on the assumption that a situation (a meeting timing situation) where he has met for a long time since he went to Osaka last time.
  • a friend etc. do not necessarily need to be an avatar (character) person, and may set various things, such as a mammal, a fish, an insect, a thing, etc. Further, the avatar may be set to transmit a picture, a moving picture, a picture or the like to the user according to the setting. For example, pictures of meals, landscapes, pictures of an ideal body, videos explaining how to exercise, etc. In addition, you may send information such as equipment, supplements, etc., to promote use. Furthermore, the friends who are the system use the avatar schedule as described above, which set events according to the passage of time, such as going up the stairs of life, to be experienced, heated, and human-like. May be
  • FIG. 61 is a diagram showing an example of a hardware configuration of the twenty-second embodiment. As shown in the figure, basically, it can be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. As shown in this figure, as a program constituting the hardware of the twenty-second embodiment, the "first purchase user identification information holding program” holds user identification information. The “first purchase SNS user related information acquisition program” acquires SNS user related information. This is done via an interface program with the SNS.
  • the “first purchase history information acquisition program” acquires purchase history information of the user from an external learning system used by the user.
  • the “first purchase advertisement advertisement dispatch history information acquisition program” acquires a advertisement advertisement dispatch history.
  • the “first purchase analysis rule holding program” holds the first purchase analysis rule.
  • the “first purchase purchase situation information analysis acquisition program” acquires purchase situation information from external information, purchase history information, and advertisement transmission history information based on analysis based on the first purchase analysis rule.
  • the “first purchase dialogue information accumulation program” accumulates dialogue information.
  • the “first purchase user-based dialogue information selection rule holding program” holds dialogue information selection rules for each user.
  • the “first purchase dialogue information selection program” selects appropriate dialogue information from among the dialogue information stored based on the acquired purchase status information and the held user dialogue information selection rule.
  • the "first purchase dialogue information output program” outputs the selected dialogue information.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information sometimes associated with it
  • external information including SNS user related information
  • purchase history information advertisement transmission history information
  • first purchase analysis rule purchase status Information
  • dialog information user-specific dialog information selection rules, selected dialog information, various setting information such as communication not shown, etc.
  • FIG. 62 is a diagram illustrating an example of a process flow of the twenty-second embodiment.
  • the first purchase user identification information holding step (6201) for holding user identification information
  • the first purchase SNS user related information acquisition step (6202) for acquiring SNS related information of the user
  • acquisition of purchase history information First purchasing history information acquisition step (6203) acquiring first advertising advertisement transmission history information acquiring step (6204), holding first purchasing analysis rule, and holding first purchasing analysis rule
  • Embodiment 23 ⁇ Embodiment 23 Outline of the Invention>
  • the interactive purchase promotion system according to the twenty-third embodiment is an independent embodiment, but is characterized by having a first purchase behavior / life log information acquisition unit in addition to the functions described in the twenty-second embodiment.
  • FIG. 63 is a view showing an example of the configuration of the interactive purchase promotion system of the twenty-third embodiment.
  • the interactive purchase promotion system of Embodiment 23 includes a second purchase user identification information holding unit (6301), a second purchase SNS user related information acquisition unit (6302), and a second purchase history information acquisition unit. (6303), second purchase advertisement advertisement transmission history information acquisition unit (6304), second purchase behavior / life log information acquisition unit (6305), second purchase analysis rule holding unit (6306), second purchase purchase status information analysis Acquisition unit (6307), second purchase dialogue information storage unit (6308), second purchase user classified dialogue information selection rule holding unit (6309), second purchase dialogue information selection unit (6310), second purchase dialogue information output unit And (6311).
  • the “second purchase user identification information holding unit” is the first purchase user identification information shown in the embodiment 22, and the “second purchase SNS user related information acquisition unit” is the first purchase SNS user related information shown in the twenty-second embodiment
  • the acquisition unit and the “second purchase history information acquisition unit” are the first purchase history information acquisition unit shown in the twenty-second embodiment, and the “second purchase advertisement advertisement transmission history information acquisition unit” is the first embodiment shown in the twenty-second embodiment
  • the purchase advertisement advertisement transmission history information acquisition unit, the "second purchase dialogue information output unit” indicates the first purchase dialogue information output unit described in the twenty-second embodiment, and the "second purchase dialogue information storage unit” indicates the twenty-second embodiment
  • the first purchase dialogue information storage unit and the "second purchase user classified dialogue information selection rule holding unit” are the first purchase user classified dialogue information selection rule holding unit described in the twenty-second embodiment, and the "second purchase dialogue information selection” Part is the first purchase
  • the “second purchase behavior / life log information acquisition unit” acquires behavior / life log information that is information indicating a user behavior or / and a life log in association with the user identification information.
  • “Action / life log information” is GPS information that means information moved by the user, drive recorder information that means information moved using a car, or ETC payment history information Financial statement history information when you went out, payment information to visit a specific store, experience information in a specific store, Internet search ⁇ viewing history, sample request ⁇ distribution information, catalog request ⁇ distribution information, Shopping mall ⁇ shopping mall visit information, shopping mall ⁇ shopping mall movement information (by indoor positioning technology), in-store gaze movement information (gaze detection by in-store camera), product inquiry information by telephone, parking lot usage information, Restaurant use / reservation information, vending machine use information, electronic money payment information, online shopping use information, taxi ) Ride information, home delivery order information, attraction usage information, at-home time information, beauty salon usage information, massage usage information, hospital usage information, movie usage information, beauty treatment usage information, coupon (especially computerized) usage information, Includes one or more of paid content usage information (especially via the Internet), video viewing history, transportation usage history, etc.
  • heart rate, pulse rate, respiration rate, body temperature, degree of muscle contraction / relaxation, electroencephalogram, blood flow rate, blood oxygen concentration, blood alcohol content, allergy It may be configured to include one or more of the degree of reaction, the degree of accumulation of fatigue material, and the like.
  • the user attribute information held in association with the user identification information can be configured to be registered by the user at the start of use of the interactive purchase promotion system. With this registration, the interactive purchase promotion system can be configured to be available. Furthermore, the user attribute information can be configured to be transferred or acquired from another system already used by the user. For example, data such as a store having a usage history, a department store, a supermarket, a product purchase site on the web, a product purchase system based on an application, household finance software used by a user, tax administrator managed by a user Information obtained from a computer system, a system of electronic money used by a user, information from a system of credit card used by a user, data held by a facility such as a training application can be used.
  • the registration of the user attribute information is (1) the first purchase (or the viewing and receiving of the advertisement) if there is a purchase history (or the advertisement advertisement sending history or the reception history), or the second or later purchase ( Alternatively, the user attribute can be registered at the time of viewing and receiving the advertisement.
  • This registration can be configured to be registered via the Internet if the purchase (or browsing of the advertisement) is via the Internet.
  • the cookie is transmitted to the terminal at the time of the first purchase (or viewing and receiving of the advertisement), and the second and subsequent purchases At the time of registration, it is also possible to configure to record retrospectively access / purchase results recorded via the cookie of the purchase web page of the same terminal as purchase history.
  • the purchased net itself is registered at a place such as a member-oriented shopping mall or web shopping of a credit card company, it is possible to divert the registered user attribute when registered in the shopping mall.
  • user attribute registration items at the time of diversion information and new purchase may be mixed and used as user attributes.
  • the registration can be configured to be web off-line (postcard, letter, e-mail, etc.). In the case of offline registration, it may be configured to be input by a human input operation or by mechanical character reading.
  • the user attribute may be registered from a letter, a web site, etc., at the time of mail order membership registration.
  • the same is true for mail order services made by credit card companies.
  • registration of the user attribute of the user who only accesses the advertisement can be registered from the advertisement registration registration application web screen or registered by mail when registering the push notification of the advertisement. It may be configured.
  • the registration of the user attribute can also be made by registering a more detailed user attribute and combining it as the user attribute, when there is a product purchase after the push notification registration of advertisement and the like.
  • Embodiment 23 Second Purchasing Analysis Rule Holding Unit
  • the “second purchase analysis rule holding unit” analyzes external information, purchase history information, advertising / advertisement dispatch history information, and action / life log information in association with user identification information from the viewpoint of grasping the purchase status. Hold a second purchase analysis rule, which is a rule for acquiring purchase status information.
  • the second purchase analysis rule is used to generate information indicating the sense of distance between the specific product and the user, such as how much the user is willing to purchase the specific product with the behavior / life log information.
  • values that can be taken as a general action / life log without specifying the user are generally assigned values in relation to the purchase of a specific product, and stored in a database or the like.
  • Logs can be scored in relation to specific products. For example, when a specific car of company T is a specific product, the action / life log for visiting the car dealer is assigned a high value, and the dealer further raises the test ride of the car. It is the condition that the price is attached. Values need not be assigned to all behavior / lifelogs in relation to a specific product, as long as some values are assigned. Therefore, it is not necessary to design everything that has been acquired as the user's behavior / life log so as to have a meaning in relation to a specific product.
  • the relationship between the behavior / life log of many or one user and the purchase history information of many or one user is calculated by artificial intelligence etc. and added to the behavior / life log stored in the database. It is possible to update the value given in relation to the specific product. The calculation of the relationship may be analyzed for each user attribute.
  • Second purchase status information analysis acquisition unit is the same user identification information as the acquired external information associated with the user identification information, the purchase history information, the advertisement transmission history information, and the action / life log information.
  • the purchase status information is acquired based on the first purchase analysis rule associated with.
  • the function of the second purchase purchase situation information analysis acquisition unit is the same as that of the first purchase purchase situation information analysis acquisition unit shown in the twenty-second embodiment, and has already been described. It should be noted that how much weight the value calculated from the action / life log information is to be contributed to the value of the purchase situation information depends on the design concept of the system.
  • FIG. 64 is a diagram showing a hardware configuration of the twenty-third embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs constituting the hardware of the twenty-third embodiment as shown in this figure the description of the programs which operate in common with the program of the twenty-second embodiment will be omitted.
  • the “second purchasing behavior / life log information acquisition program” newly added in this embodiment acquires behavior / life log information.
  • the “second purchase purchase situation analysis acquisition program” acquires purchase situation information from external information, purchase history information, advertising / advertisement dispatch history information, and action / life log information by analysis based on the second purchase analysis rule.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information associated with it in some cases
  • external information including SNS user related information
  • purchase history information advertisement transmission history information
  • action / life log information second Purchase analysis rules
  • Purchase status information, dialogue information, dialogue information selection rules for each user, selected dialogue information, various setting information such as communication not shown, etc. are held in non-volatile memory, loaded to main memory, and a series of programs executed Referenced and used.
  • FIG. 65 is a diagram illustrating an example of a process flow of the twenty-second embodiment.
  • Embodiment 24 ⁇ Embodiment 24 Outline of the Invention>
  • the interactive purchase promotion system of the twenty-fourth embodiment is characterized by having a function of determining the validity of the outputted dialogue information in addition to the feature described in the twenty-second embodiment or the twenty-third embodiment.
  • FIG. 66 is a diagram showing an example of a configuration of an interactive purchase promotion system according to an embodiment 23 subordinate to the embodiment 22.
  • the interactive purchase promotion system according to the twenty-third embodiment includes a first purchase user identification information holding unit (6601), a first purchase SNS user related information acquisition unit (6602), and a first purchase history information acquisition unit.
  • first purchase advertisement advertisement transmission information acquisition unit (6604), first purchase analysis rule holding unit (6605), first purchase purchase status information analysis acquisition unit (6606), first purchase dialogue information storage unit (6607 First purchase user classified dialogue information selection rule holding unit (6608), first purchase dialogue information selection unit (6609), first purchase dialogue information output unit (6610), purchase validity judgment rule holding unit (6611), And a purchase dialogue information validity judgment unit (6612).
  • the “purchase effectiveness determination rule holding unit” holds a purchase effectiveness determination rule which is a rule for determining whether the dialog information is valid based on the acquired purchase status information with respect to the output dialog information.
  • the purchase validity determination rule determines the validity based on the purchase status information of the specific product related to the purchase status information that is the cause of the selection of the output dialogue information. In particular, it is possible to estimate the effectiveness of the outputted dialogue information depending on how the sense of distance to the specific product (the strength of purchase intention of the specific product) based on the purchase status information of the specific product has changed.
  • the purchase history recorded in the purchase history information and the information indicating that the purchase has been completed, which is indicated by the purchase status information become the same information, and in this case only
  • the configuration may be such that the effectiveness of the dialogue information is determined based on this, and this configuration is substantially included in the present embodiment.
  • the “purchase effectiveness judgment rule” has a background purpose of how to improve or maintain the purchase situation based on the purchase situation information, and is dialogue information that has a positive impact to achieve the background purpose. It is a rule that determines the effectiveness of the dialog information in relation to a specific product from the viewpoint of whether it has been. Also in the purchase effectiveness determination rule, as in the interactive health promotion system and the interactive learning promotion system, it is conceivable that the effectiveness can be determined for the guidance dialogue and the evaluation for the negative reaction of the user. The guidance dialogue, the evaluation for the negative reaction of the user, and the description of the character types have already been described in the sixth embodiment.
  • ⁇ Embodiment 24 Purchase dialogue information validity judgment unit> The “purchase dialogue information validity judgment unit” judges the validity of the dialogue information based on the outputted dialogue information, the purchase status information acquired for the dialogue information, and the purchase dialogue information validity judgment rule. .
  • the validity of the dialogue information is configured as indicated by a value. What is judged to be the most effective is, for example, "when there is a purchase of a specific product", "when there is a continuing purchase contract for a specific product”, etc. It can be rich in variety by arithmetic logic.
  • the expression format as a numerical value may be a numerical value without an upper limit, or the effectiveness may be expressed within a numerical range in which an upper limit and a lower limit are defined.
  • the effectiveness value may be configured not only to be positive but also to be negative. It is a case where the dialogue information becomes counterproductive to the purchase of a specific product. As an example, the value indicated by the purchase status information is lower than that before the output of the dialogue information.
  • the processing for judging the effectiveness of the dialogue information may be performed using the purchase history information instead of or in addition to the purchase status information.
  • FIG. 67 shows a hardware configuration of the twenty-fourth embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs that configure the hardware of the twenty-fourth embodiment as shown in this figure the programs that operate in common with the twenty-second embodiment or the twenty-third embodiment have already been described, and the descriptions thereof will be omitted.
  • the “purchase effectiveness determination rule holding program” holds a purchase effectiveness judgment rule.
  • the “purchase dialogue information validity judgment program” judges the validity of the dialogue information outputted based on the purchase validity judgment rule. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information sometimes associated with it
  • external information including SNS user related information
  • purchase history information advertisement transmission history information
  • first purchase analysis rule purchase status Information
  • dialogue information dialogue information selection rule by user
  • selected dialogue information dialogue information selection rule by user
  • purchase validity judgment rule purchase validity judgment result
  • various setting information such as communication not shown, etc.
  • FIG. 68 is a diagram illustrating an example of a process flow of the twenty-fourth embodiment.
  • the interactive purchase promotion system according to the twenty-fifth embodiment is characterized in that statistical dialogue information validity judgment is performed by statistical processing of big data.
  • FIG. 69 is a diagram showing an example of configuration of the interactive purchase promotion system of the twenty-fifth embodiment.
  • the interactive purchase promotion system of the twenty-fifth embodiment includes a first purchase user identification information holding unit (6901), a first purchase SNS user related information acquisition unit (6902), and a first purchase history information acquisition unit.
  • the "purchase effectiveness statistical processing rule holding means” holds the purchase effectiveness statistical processing rule, which is a rule for performing statistical processing of the effectiveness of interaction information of a plurality of users for each common user attribute to the population Means that the purchase dialogue information validity judgment unit has. “A part of the population is common to each common user attribute” is a representative example of a user having a common user attribute that wants to promote the purchase of a specific product. This is because the effectiveness of the dialogue information can not be compared if the specific products do not have commonality. However, they do not necessarily have to be identical products, as long as they have a certain degree of commonality.
  • a specific product having a purchase history is common
  • a specific product having an advertisement transmission history is common
  • a user is a population of users having common user attributes. Therefore, the narrowing down may be performed on the condition that not only the specific product is common but also the other user attributes are common, and the population may be divided into smaller pieces.
  • statistics do not necessarily have the same sense of distance to a specific product, that is, they are not necessarily in the same purchase status (indicated by purchase status information).
  • the process is statistically processed including the past purchase status information of the user of the population, the corresponding dialogue information output as well as the change of the purchase status information obtained as a result of outputting the dialogue information.
  • the effectiveness associated with the dialogue information is statistically processed without acquiring the change of the purchase status information. It may be configured. Further, instead of or in addition to the purchase status information, purchase history information may be used to perform statistical processing of the effectiveness of the dialogue information.
  • the “purchase effectiveness statistical processing rule” is a rule for acquiring statistical effectiveness of certain dialogue information, and a rule for determining the sameness of dialogue information different for each user arranged in accordance with the user attribute. And is composed of two. In addition, it is conceivable that the purchase effectiveness statistical processing rule can be configured so as to be able to judge statistical effectiveness also for the introduction dialogue and the evaluation for the negative reaction of the user. The introductory dialogue information, the evaluation for negative reaction, and the description of the type of personality have been described in the sixth embodiment of the interactive health promotion system.
  • the population can be further narrowed according to the user attribute in the population of users who have a purchase history of a specific product. For example, it is a user having an attribute of owning an item that may be replaced with a specific item. It is also possible to perform statistical analysis according to the user's attribute further narrowed down in this way, and even if it is dialogue information which is not recognized as effective individually (even dialogue information whose effect is still unknown) The dialogue information confirmed to be highly effective for the user having the statistical specific attribute enables the system to make a selection of the dialogue information actively or at a timing.
  • the user attribute information is configured to be held in a user attribute information holding unit or the like in association with the user identification information, but the user attribute information is a user based on the dialogue information, the response information, and the user attribute information judgment rule.
  • the user attribute information held in the attribute information holding unit may be updated.
  • a character diagnosis test to be described later may be performed regularly or irregularly (using character diagnosis dialogue information or the like) to update the held user attribute information.
  • a score is stored for each personality type and then a median is assigned or a questionnaire is given to the user and the questionnaire result is retained.
  • the character may be configured to analyze the conversation information of the SNS by the conversation information analysis unit based on the conversation information analysis rule to determine the character. Since huge conversations with friends etc. are accumulated in SNS, this can be used effectively. Furthermore, it may be configured to analyze the reading tendency introduced in the SNS, the tendency of the preference of the movie, the preference of the music, the taste, the favorite entertainer or the celebrity, and the like to determine the character. Furthermore, it is possible to analyze the place where the user checked in, the photograph in which the user himself or herself is reflected, or the like, and diagnose the character.
  • Places to check in include commercial facilities (department stores, supermarkets, convenience stores, electronics stores, fast fashion, beauty salons, beauty salons), entertainment facilities, stadiums, restaurants, museums, parks, stations, ports, airports, national parks, You can analyze the character in public parks etc. For example, whether it is active, shopping enthusiasts, or no-obsessions.
  • photographs it is possible to analyze characters based on whether there are many group photographs, many photographs of one person, many scenery photographs, and many photographs of food.
  • the character analysis rules can be designed according to the design policy. It is also possible to analyze the character of the user according to the character of the friend connected by SNS.
  • the method of acquiring these user attribute information is the same as the method already described in the twenty-second and twenty-third embodiments.
  • Purchasing statistical dialogue information validity information acquiring means statistically makes the dialogue information valid at least in the population based on the dialogue information of a plurality of users and the held purchasing statistics processing rules.
  • a part is a means included in the dialogue information validity judgment unit which acquires statistical dialogue information validity information judged for each common user attribute.
  • some attribute information of the user is held in association with the user identification information, and such attributes constitute a population, and the attributes are common.
  • Purchasing statistical dialog information validity information means that the dialog has effectiveness (from low effectiveness to high effectiveness) according to user attributes etc. as a result of processing statistically, and various interactions having each validity It is information that expresses the number of types of information as a function, and is generally normally distributed. In other words, the number of dialog information with the effectiveness "medium” is the largest (the number of types of dialog information that is the average of the effectiveness is the largest), and conversely the number of dialog information with the effectiveness "high” and the effectiveness "low”. Is a data group distributed so as to decrease. By using this data, it can be known what kind of conversation information exerts what degree of effectiveness, and it can be used as a computer.
  • FIG. 22 is one example of purchase statistical interaction information validity information, which has been described in the seventh embodiment.
  • FIG. 70 shows a hardware configuration of the twenty-fifth embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs that configure the hardware of the twenty-fifth embodiment as shown in this figure the programs that operate in common with the twenty-fourth embodiment have already been described, and descriptions thereof will be omitted.
  • the “purchase effectiveness statistical processing rule holding program” holds a purchase effectiveness statistical processing rule.
  • the “purchasing statistical dialogue information validity information acquiring program” acquires purchasing statistical dialogue information validity information based on the purchasing effectiveness statistical processing rule. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information sometimes associated with it
  • external information including SNS user related information
  • purchase history information advertisement transmission history information
  • first purchase analysis rule purchase status Information
  • dialogue information dialogue information selection rule by user, selected dialogue information
  • purchase validity judgment rule purchase validity judgment result
  • purchase validity statistical processing rule purchase statistical dialogue information validity information, communication not shown, etc.
  • the setting information and the like are stored in the non-volatile memory, loaded into the main memory, and referenced and used in executing a series of programs.
  • FIG. 71 is a diagram illustrating an example of a process flow of the twenty-fifth embodiment.
  • the twenty-sixth embodiment ⁇ Embodiment 26 Outline of the Invention>
  • the interactive purchase promotion system according to the twenty-sixth embodiment is characterized in that, in addition to the feature described in the twenty-fourth embodiment or the twenty-fifth embodiment, the per-user dialogue information selection rule is updated based on the purchase effectiveness judgment result.
  • FIG. 72 is a diagram showing an example of a configuration of the interactive purchase promotion system of the twenty-sixth embodiment.
  • the interactive purchase promotion system according to the twenty-sixth embodiment includes a first purchase user identification information holding unit (7201), a first purchase SNS user related information acquisition unit (7202), and a first purchase history information acquisition unit.
  • the description of the common configuration with the twenty-fourth embodiment or the twenty-fifth embodiment will be omitted, and only the configuration unique to the present embodiment will be described.
  • the twenty-sixth user dialogue information selection rule updating unit updates the user-by-user dialog information selection rule held in the user-by-user dialog information selection rule holding unit based on the purchase validity determination result. To update is to update the validity associated with the interaction information for each user. If there is a change in the user-by-user effectiveness conventionally associated with the dialogue information as a result of the effectiveness determination, processing for associating with the latest effectiveness is performed.
  • FIG. 25 is a diagram showing the function of the user-by-user dialogue information selection rule updating unit, and the outline has been described in the eighth embodiment. As a result, it becomes possible to select more effective dialogue information than before.
  • This selection is also a process of changing the priority selection order of the dialogue information stored in the dialogue information storage unit (including the first and the second).
  • the validity may be configured to be held separately for the validity determined based on the purchase status information, the validity determined based on other response dialogue information, and the information based thereon. Further, the effectiveness may be expressed as frequency to be selected as dialogue information, and the number of times to be selected as dialogue information during guidance dialogue. Further, the validity may be configured to be associated according to the avatar as the speaker and the type of speech.
  • FIG. 73 is a conceptual diagram showing an outline of an operation of AI (Artificial Intelligence) for updating a selection rule in Embodiment 26.
  • AI Artificial Intelligence
  • the present interactive purchase promotion system holds user-specific dialogue information selection rules reflecting personal characteristics.
  • the individual characteristics of each user reflected here are the form of dialogue information such as wording in conversation, the contents of dialogue information corresponding to purchase situation information, the timing of outputting dialogue information, the output interval of dialogue information, guidance It will be reflected in the arrangement of the dialogue, the process which does not give up (the repetition of the dialogue information of the same intention), the choice of the avatar etc which outputs dialogue information, etc.
  • purchase status information D (7308) which has not been acquired in the past is acquired
  • selection of user-by-user dialogue information is performed by combining rules on purchase status information similar to the purchase status information D. .
  • the dialogue information (7309) “No?” Is selected and output.
  • the effectiveness of the selected dialogue information is considered to be low, and two points are obtained as the purchase dialogue information validity judgment result (7311).
  • a new rule (7312) is selected for dialogue information that "do not look at the promotion video?
  • the updated user-by-user dialog information selection rule is acquired, and the user-by-user dialog information selection rule held in the user-by-user dialog information selection rule holding unit is updated.
  • FIG. 74 shows a hardware configuration of the twenty-sixth embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs that configure the hardware of the twenty-sixth embodiment as shown in this figure the programs that operate in common with the twenty-fourth embodiment or the twenty-fifth embodiment have already been described and descriptions thereof will be omitted.
  • the "purchased user dialog information selection rule update program” updates the user dialog information selection rule based on the purchase validity determination result.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information sometimes associated with it
  • external information including SNS user related information
  • purchase history information advertisement transmission history information
  • first purchase analysis rule purchase status Information
  • dialogue information, dialogue information selection rule by user, dialogue information selected, purchase validity judgment rule, purchase validity judgment result, dialogue information selection rule by update user, various setting information such as communication not shown, etc. are nonvolatile memory It is stored in the main memory, loaded into the main memory, and referenced and used when executing a series of programs.
  • FIG. 75 is a diagram illustrating an example of a process flow of the twenty-sixth embodiment.
  • Embodiment 27 ⁇ Embodiment 27 Outline of the Invention>
  • the interactive purchase promotion system of the twenty-seventh embodiment adds the feature of the twenty-fifth embodiment or the twenty-fifth embodiment to the basic feature of the twenty-sixth embodiment, based on the statistical dialogue information validity information, in the user-by-user dialogue information selection rule holding unit. It is characterized in that the user-by-user dialogue information selection rule held is updated.
  • Embodiment 27 Configuration of the Invention
  • FIG. 76 is a diagram showing an example of the configuration of the interactive purchase promotion system of the twenty-seventh embodiment.
  • the interactive purchase promotion system of Embodiment 27 includes a first purchase user identification information holding unit (7601), a first purchase SNS user related information acquisition unit (7602), and a first purchase history information acquisition unit.
  • first advertising advertisement transmission history information acquisition unit (7604), first purchase analysis rule holding unit (7605), first purchase purchase status information analysis acquisition unit (7606), first purchase dialogue information storage unit (7607) First purchase user specific dialogue information selection rule holding unit (7608), first purchase dialogue information selection unit (7609), first purchase dialogue information output unit (7610), purchase validity judgment rule holding unit (7611), Purchase dialogue information validity judgment unit (7612), purchase validity statistical processing rule holding means (7613), purchase statistical dialogue information validity information acquisition means (7614), purchase statistical user Story information selection rules update section (7615), consisting of.
  • the description of the configuration common to the twenty-fifth embodiment or the twenty-sixth embodiment based on the twenty-fifth embodiment will be omitted, and only the configuration unique to the present embodiment will be described.
  • ⁇ Embodiment 27 purchase statistical user-specific dialogue information selection rule updating unit>
  • the “Purchasing statistical user-by-user dialogue information selection rule updating unit” updates the user-by-user dialogue information selecting rule held in the user-by-user dialogue information selecting rule holding unit based on the acquired purchasing statistical dialogue information validity information .
  • the modification of the embodiment 26 is basically the same.
  • Embodiment 27 Hardware Configuration FIG. 77 shows a hardware configuration of the twenty-seventh embodiment.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the programs constituting the hardware of the twenty-seventh embodiment as shown in this figure the program operating in common with the twenty-fifth embodiment or the twenty-sixth embodiment is already explained and the explanation thereof is given. I omit it.
  • the “purchasing statistical user-specific dialogue information selection rule update program” updates the user-specific dialogue information selection rule based on the purchasing statistical dialogue information validity information.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information sometimes associated with it
  • external information including SNS user related information
  • purchase history information advertisement transmission history information
  • first purchase analysis rule purchase status Information
  • dialogue information dialogue information selection rule by user, selected dialogue information, purchase validity judgment rule, purchase validity judgment result
  • purchase validity statistical processing rule purchase statistical dialogue information validity information
  • update user dialogue information Various setting information and the like such as selection rules and communications (not shown) are held in the non-volatile memory, loaded into the main memory, and referenced and used in executing a series of programs.
  • FIG. 78 is a diagram illustrating an example of a process flow of the twenty-seventh embodiment.
  • Embodiment 28 ⁇ Embodiment 28> Outline of the Invention>
  • the twenty-eighth embodiment is an invention which describes the method of the twenty-second embodiment in a method, and basically the category of the invention of the twenty-second embodiment is expressed as a computer operation method.
  • Embodiment 28 Configuration of the Invention
  • a purchasing SNS user related information acquiring step (8001) for acquiring SNS related information of a user and a purchasing history information acquiring step (8002) for acquiring purchasing history information.
  • Purchase advertisement advertisement transmission history information acquiring step (8003), purchase condition information is stored using purchase analysis rules, external information, purchase history information and advertisement advertisement transmission history information held
  • Purchase purchase situation information analysis acquisition step (8004) purchase dialogue information selection step (8005) for selecting dialogue information to be output based on purchase user classified dialogue information selection rule, purchase dialogue information output for outputting selected dialogue information And step (8006).
  • the twenty-ninth embodiment ⁇ Outline of the invention according to the twenty-ninth embodiment> is an invention which describes the method of the twenty-second embodiment in a method, and basically, the category of the invention of the twenty-second embodiment is expressed as an operation program of a computer.
  • Embodiment 29 Configuration of the Invention
  • the configuration of the operation program of the interactive purchase promotion system shown in the twenty-ninth embodiment is the same as the configuration shown in FIG. The description of each configuration is omitted since it has been described in the twenty-eighth embodiment.
  • Embodiment 30 The interactive purchase promotion system shown in the embodiment 30 is a user having advertisement advertisement transmission history information of a specific product in place of the user having the purchase history of the specific product in addition to the features described in the embodiment 22 to the embodiment 27. It is an interactive purchase promotion system
  • Embodiment 30 ⁇ Embodiment 30> Outline of the Invention>
  • the interactive purchase promotion system uses the purchase history information (including the case where there is no purchase history) and advertisement advertisement transmission history information in addition to the user's utterance information and browsing information in the SNS, and uses the user's purchase Acquire purchase status information that indicates the increased motivation toward the target, and strengthen the user's purchase motivation by outputting to the SNS the dialogue that was in the purchase status that is the degree of the user's current purchase.
  • the attributes of the user are preferably stored in the system, and registration of the user attribute of the user who has just accessed the advertisement is registered from the advertisement registration registration web screen when registering the push notification of the advertisement. Or, it may be configured to register by mail.
  • a cookie to a computer that browses an advertisement, thereby acquiring various information performed on the computer and acquiring a user attribute stored in the computer.
  • the registration of the user attribute can also be made by registering a more detailed user attribute and combining it as the user attribute, when there is a product purchase after the push notification registration of advertisement and the like.
  • Embodiment 30 Configuration 1 of the Invention
  • the configuration 1 of the invention of the interactive purchase promotion system of the embodiment 30 is basically such that the second in the embodiment 22 in FIG. 60 is replaced with a third.
  • the interactive purchase promotion system of the embodiment 30 includes a third purchase user identification information holding unit, a third purchase SNS user related information acquisition unit, a third purchase history information acquisition unit, a third purchase advertisement advertisement transmission history information acquisition unit, a third Third purchase analysis rule holding unit, third purchase purchase status information analysis acquisition unit, third purchase dialogue information storage unit, third purchase user classified dialogue information selection rule holding unit, third purchase dialogue information selection unit, third purchase dialogue information And an output unit.
  • the configuration 2 of the invention of the interactive purchase promotion system of the embodiment 30 is basically such that the second of the embodiment 23, FIG. 63 is replaced by a fourth.
  • the interactive purchase promotion system according to configuration 2 of the invention of the embodiment 30 includes a fourth purchase user identification information holding unit, a fourth purchase SNS user related information acquisition unit, a fourth purchase history information acquisition unit, and a fourth purchase advertisement advertisement dispatch history.
  • Embodiment 30 Configuration of the Invention and Others
  • the embodiment described above In addition to the configuration 1 of the invention and the configuration 2 of the invention, the additional configuration to the embodiment 22 and the embodiment 23 described in the embodiment 24, the embodiment 25, the embodiment 26 and the embodiment 27 in the same manner.
  • the configuration may be added.
  • Embodiment 30 Third Purchasing User Identification Information Holding Unit Fourth Purchasing User Identification Information Holding Unit
  • the “third purchase user identification information holding unit, the fourth purchase user identification information holding unit” holds user identification information that identifies a user having advertisement advertisement transmission history information of a specific product using an SNS.
  • the other points are the same as the description described in the first and second purchase user identification information holding units.
  • Embodiment 30 Other Configuration In the embodiment 30, the other configuration is basically the same as the invention described in any one of the embodiment 22 to the embodiment 27.
  • the thirty-first embodiment ⁇ Embodiment 31> Outline of the Invention> is an invention related to an interactive learning promotion system.
  • the invention of the present embodiment acquires the validity of the outputted dialogue information from the user's response dialogue information to the outputted dialogue information. It is characterized by
  • Embodiment 31 Configuration of the Invention
  • One example of the configuration of the interactive learning promotion system of the embodiment 31 is the configuration of the embodiment 12 shown in FIG. 36, the configuration of the embodiment 13 shown in FIG. 39 or the embodiment 14 shown in FIG. Based on this, the learning response dialogue information acquiring unit, the learning response validity judgment rule holding unit, and the learning response dialogue information validity judging unit are newly added.
  • the description of the configuration common to any one of the twelfth to sixteenth embodiments will be omitted, and only the configuration unique to this embodiment will be described.
  • the “learning response dialogue information acquisition unit” acquires response dialogue information for the outputted dialogue information.
  • the response dialogue information is information indicating the reaction of the user to the dialogue information.
  • response dialogue information as character information output by the user through SNS, learning behavior of the user appearing in learning history information and learning effect information, response dialogue information by voice uttered by the user, life log information such as user's heart rate and brain waves
  • the response dialogue information obtained as (1), the response dialogue information on the user's action that can be incorporated into the system from GPS or other external information devices, etc. can be considered.
  • the present interactive learning promotion system can also be configured to issue a question to confirm which utterance (interaction information) of the present interactive learning promotion system is the response dialogue information of the user.
  • interaction information utterance
  • the response dialogue information can be included in the learning SNS user related information itself or can be included in the dialogue information stored in the dialogue information storage unit. Furthermore, since the user's individuality and interaction style are directly expressed in the response dialogue information, it is possible to use it for analysis of user attributes or to store it as user attribute information.
  • the present system is structured such that when the system outputs the dialogue information, the user freely responds to the dialogue information.
  • the user's response dialogue information to the outputted dialogue information does not have to be acquired at the timing close in time, and it is also conceivable that the user outputs the response dialogue information to the output several days ago.
  • the user's response dialogue information to the outputted dialogue information does not have to be in a one-to-one relationship, and any configuration of one-to-many, many-to-one, and many-to-many can be considered.
  • it is considered to associate the output dialogue information with the response dialogue information sent by the user until the next dialogue information is outputted.
  • the system can output dialogue information of an advice that recommends the user to perform an action through an introduction dialogue toward one background goal.
  • the user's preferred language, expression method, and conversation method can be considered as a part of the interactive mode. For example, “starting with the weather, talk about today's mood and the schedule after tomorrow, It is conceivable that the user is made aware of what action it takes today to be rational or effective, and advice is given to proceed with the action.
  • a series of user response dialogues which are recognized as one story, recognized in a unit of an output dialogue block, and acquired in the process, starting from the story of the weather and giving advice to proceed with the action It is conceivable to associate with information.
  • Embodiment 31 Learning Response Validity Determination Rule Holding Unit is a rule that determines whether the dialog information output based on the response dialog information acquired with respect to the output dialog information is valid or not. Hold.
  • Learning response validity judgment rule is a rule that judges the effectiveness of the output dialogue information by judging from the dialogue information including the utterance of the question whether the user has taken action / thought according to the dialogue information. is there. This is a system for judging the validity of the outputted dialogue information depending on whether the user's response dialogue information to the outputted dialogue information is a positive reaction or a negative reaction.
  • types of expressions that can be judged as positive reactions for example, speech indicating intention, speech accepted, speech agreeing, speech actively making suggestions Set goals, say etc. and types of expressions that can be judged as negative reactions (expressions of rejection, unwilling expressions, excuses, negative utterances, late utterances, unresponsiveness (unread case and read) In some cases, etc., etc.), and in some cases, it is conceivable to classify the expression into one or more validity judgment types of neutral expression types (for example, greeting of the weather, talks, talks, etc.). The number of types and the number of divisions of this classification can be set based on the operation policy of the system.
  • the step of classifying the acquired response dialogue information into each type may be performed at the stage of acquisition of the learning response dialogue information acquisition unit, or the learning response validity judgment rules possessed by the learning response validity judgment rule holding unit It may be content. In any configuration, it is necessary to determine the sameness between the response dialogue information and the validity judgment type in order to distribute the response dialogue information as shown below to the validity judgment type. It will have. In the following, it is assumed that the learning response validity judgment rule holding unit classifies the acquired dialogue information into each type.
  • the learning response dialogue information validity determination rule is composed of at least a rule for determining the meaning content of the response dialogue information and a rule for judging the validity of the outputted dialogue information. Furthermore, when the rule for classifying the semantic content of the response dialogue information into the validity judgment type is independently provided, the rule for classifying the semantic content of the response dialogue information into the validity judgment type is the meaning of the response dialogue information It may be considered to be configured to be included in either the rule for determining the content or the rule for determining the validity of the output interaction information.
  • the user's response dialogue information is issued by the user and can not be managed and controlled by the system. Therefore, what word is used, what expression is made, and what kind of interactive manner is sent out I have not decided. For example, as a message to convey the fact that "I do not want to study”, various expressions such as “Don't study”, “I hate it”, “I don't say domestic”, “I refuse”, “I do not do it”, “I am harmless” It is possible to use Rules for specifying that these expressions are all "negative expressions” become rules for determining the semantic content of the response dialogue information.
  • the manner and width of the category of meaning contents can be set based on the system operation policy. This width may also be configured to be selectable hierarchically.
  • the highest level is the semantic content of the user's response dialogue, and there is an expression in the case of direct expression under it, and further, various subordinate expressions in polite language, polite expression, respect It is conceivable that there are expressions of words, equal words, and imperative forms, and further, there are various expressions by dialects and the like below them, and various indirect expressions (folds, metaphors etc.) below them. For example, using the above example, "does not do” will be acquired as various indirect expressions, and it will fall under the standard word “does not do” because it is not specially processed as an expression method such as dialect etc.
  • an evaluation value of the degree of the strength of the response on the validity determination type with respect to the dialog information of the user is calculated for each element of the validity determination type
  • As a method of measuring the strength of the reaction on the effectiveness judgment type it is conceivable to calculate the method by comprehensively judging the score while giving a score in advance to options of various stages selected in the identity confirmation .
  • it may be considered that the weighting of various stages in calculating the strength of the reaction on the effectiveness judgment type is made to differ for each user.
  • the numerical value of the strength of the response on the validity judgment type acquired in this manner is the validity judgment result. If the information corresponds to a neutral expression type, the information for judging the effectiveness may be insufficient, and the judgment result may be that the effectiveness can not be judged.
  • one response dialogue information may contain expressions to be classified into a plurality of types
  • the effectiveness judgment result is calculated from the evaluation value of the degree of the response strength on the plurality of acquired effectiveness judgment types.
  • check points such as the use of conjunctions such as “but”, “but” and “yappari”, the composition of the entire statement such as the first and second sentences, the composition of the sentence such as the beginning of the sentence and the end of the sentence, etc.
  • weighting may be made different at the time of calculating the effectiveness judgment result.
  • the difference in weighting by rank can be a common value by the system, or can be set to be different for each user according to the user attribute.
  • the expressions in the above example are expressions that are used other than when you do not want to study. For example, if a user who is studying for two hours always outputs dialogue information that recommends that they stop studying and sleep because they seem to be ill, "do not be evident” “don't fool” "notice” "fuzzing" For some of the above expression examples such as, it is an expression representing "the intention to continue studying.” In this case, judging as a negative expression as an effectiveness judgment type in the sense that it does not follow the response dialogue information can be considered as a simple judgment. However, in relation to the background purpose of this interactive learning promotion system that makes learning habitual, it is also possible to judge that regular learning habits are attached.
  • an evaluation rule of effectiveness evaluation in relation to the background purpose is provided. It is also possible.
  • objectively matching to the background purpose means to formally promote regular study behavior.
  • the fact that it does not conform to the background purpose means that it does not formally promote regular study behavior.
  • the evaluation value of the degree of response strength in positive and negative background purpose validity judgment similar to the effectiveness judgment type of the meaning contents of the response dialogue information Will be obtained.
  • the response type of the meaning contents of the response dialogue information is a positive / negative inverted reaction on the background purpose validity judgment. An evaluation value of the degree of strength will be obtained.
  • the weightings of these two elements may be different in the determination.
  • the difference in weighting may be commonly set in the system, or may be different depending on the user attribute.
  • the evaluation value of the degree of the response strength on the effectiveness judgment type the strength of the reaction on the background purpose effectiveness judgment It is considered that the evaluation value of the degree of is set to 2 to 3.
  • the response on the effectiveness judgment typology is strong Value of the degree of response strength on effectiveness judgment typology, with emphasis on importance: Background purpose It can be considered that the evaluation value of the degree of reaction strength on effectiveness judgment is 3 to 2 .
  • This judgment can be made by comparing the evaluation value of the degree of the response strength on the effectiveness judgment type of the response dialogue information.
  • the learning effectiveness judgment rule or / and the learning history effectiveness described above A method of calculating using a value calculated by the same rule as the determination rule can be considered.
  • Learning response dialogue information validity judgment unit judges the validity of the dialogue information based on the outputted dialogue information, the response dialogue information acquired for the dialogue information, and the learning response validity judgment rule . It is conceivable that the user and the interactive learning promotion system perform the output of the dialogue information and the acquisition of the response dialogue information multiple times until the user executes the certain learning action. The effectiveness of the output dialogue may be performed on a series of dialogue chunks for executing a certain action for a plurality of times of dialogue information, or may be performed in a one-to-one correspondence for each dialogue. It may be judged by both parties.
  • the present interactive learning promotion system defines a purpose of causing a certain action to be performed, and repeats a plurality of approaches as part of an interactive form according to the user's attributes until it is realized. It is possible to be configured as having the above-mentioned rule not to give up or / and the rule not to give up. If it is a user who needs to be persuaded, it may be possible to repeat the same thing over and over again, or to output dialogue information that explains the rationality of the action, and even if it is a type of user who refuses to ask again and again For example, it will output dialogue information asking you to act with that hand. Therefore, the system can recognize a certain purpose, start a conversation, and finally obtain a result of realization of the objective realization as a series of phrases.
  • Embodiment 31 Hardware Configuration
  • the hardware configuration of the embodiment 31 is the configuration of the embodiment 12 shown in FIG. 37, the configuration of the embodiment 13 shown in FIG. 40 or the embodiment 14 shown in FIG. 43 (however, the third learning curriculum information acquisition unit is not an essential configuration). Based on). The description of the program which performs the common operation with any one of the twelfth to sixteenth embodiments is omitted.
  • the “learning response dialogue information acquisition program” newly added in the present embodiment acquires the user's response dialogue information corresponding to the outputted dialogue information.
  • the “learning response validity determination rule holding program” holds a learning response validity determination rule.
  • the “learning response dialogue information validity judgment program” judges the validity of the outputted dialogue information based on the learning response validity judgment rule.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • Non-volatile memory holds various setting information etc., such as user-specific dialogue information selection rule, selected dialogue information, selected dialogue information, response dialogue information, learning response validity judgment rule, learning response validity judgment result, communication not shown, etc. , And referenced and used during a series of program execution.
  • a response dialog information acquisition step of acquiring response dialog information to the output dialog information, a learning response validity judgment rule holding step of holding a learning response validity judgment rule, and a learning response validity as steps newly added in the present embodiment A learning response dialogue information validity judgment step of judging the validity of the outputted dialogue information based on the sex judgment rule.
  • Embodiment 32 ⁇ Embodiment 32 Outline of the Invention>
  • the present embodiment is an invention related to an interactive learning promotion system.
  • the invention of the present embodiment statistically processes the validity of the output dialogue information acquired based on the response dialogue information.
  • learning response effective processing rule holding means and learning response statistical interaction information effectiveness information obtaining means for obtaining learning response statistical interaction information validity.
  • ⁇ Embodiment 32 Configuration of the Invention>
  • One example of the configuration of the interactive learning promotion system of the embodiment 32 is the configuration of the embodiment 12 shown in FIG. 36, the configuration of the embodiment 13 shown in FIG. 39 or the embodiment 14 shown in FIG. It is not a required configuration.
  • the description of the configuration common to any one of the twelfth to sixteenth embodiments is omitted.
  • the configurations newly added in this embodiment are a learning response effectiveness statistical processing rule holding means, and a learning response statistical dialogue information effectiveness information acquiring means.
  • Training response effectiveness statistical processing rule holding means is a means possessed by the learning response dialogue information validity judgment unit, and the effectiveness of dialogue information of a plurality of users is partially shared by the user with respect to the population Holds the learning response effectiveness statistical processing rule, which is the rule to perform statistical processing every time.
  • the statistical processing described in the seventeenth embodiment described above is used to determine the effectiveness using response dialogue information, and the learning effect information and the learning history information are replaced by response dialogue information. The rest is common.
  • Embodiment 32 Learning Response Statistical Dialogue Information Validity Information Acquisition Means
  • the “learning response statistical dialogue information validity information acquiring means” statistically generates at least the effectiveness of the dialogue information on the basis of the dialogue information of a plurality of users and the learning response validity statistical processing rules held.
  • a part of the group is a means included in the learning response dialogue information validity determining unit for acquiring learning response statistical dialogue information validity information determined for each common user attribute.
  • Embodiment 32 Hardware Configuration
  • the hardware configuration of the embodiment 32 is the configuration of the embodiment 12 shown in FIG. 37, the configuration of the embodiment 13 shown in FIG. 40 or the embodiment 14 shown in FIG. 43 (however, the third learning curriculum information acquisition unit is not an essential configuration). Based on).
  • the description of the program which performs the common operation with any one of the twelfth to sixteenth embodiments is omitted.
  • the program that is newly added in the present embodiment, "the learning response statistical processing rule holding program” holds the learning response statistical processing rule.
  • the “learning response statistical dialogue information validity information acquiring program” acquires learning response statistical dialogue information validity information based on a learning response statistical processing rule.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information associated with it in some cases
  • external information including SNS user related information
  • learning history information learning effect information, learning analysis rules, learning status information, dialogue information .
  • User-specific dialogue information selection rule selected dialogue information, response dialogue information, learning response validity judgment rule, learning response validity judgment result, learning response statistical processing rule, learning response statistical dialogue information validity information, communication not shown Etc.
  • One example of the process flow of the interactive learning promotion system of the embodiment 32 is the configuration of the embodiment 12 shown in FIG. 38, the configuration of the embodiment 13 shown in FIG. 41 or the embodiment 14 shown in FIG. Part is not an essential part of the process)).
  • the description of the steps for performing the common information processing with any one of the twelfth to sixteenth embodiments is omitted.
  • a learning response validity statistical processing rule holding sub step holding learning response validity statistical processing rules, and learning response statistical dialogue information validity based on the learning response validity statistical processing rules Learning response statistical dialogue information validity information acquiring substep for acquiring information.
  • the thirty-third embodiment Outline of the Invention Embodiment 33 is an invention related to an interactive learning promotion system.
  • the user-by-user dialogue information selection rule is changed based on the learning response dialogue information validity judgment result.
  • Embodiment 33 Configuration of the Invention> An example of a structure of the interactive promotion system of Embodiment 33 is based on the structure of Embodiment 31 or Embodiment 32. The description of the common structure with Embodiment 31 or Embodiment 32 is omitted. The configuration newly added in the present embodiment is the learning response user-by-user dialogue information selection rule updating unit.
  • the “learning response user-by-user dialogue information selection rule updating unit” is a user-by-user dialogue information selecting rule holding unit based on the determination result of the learning response dialogue information validity determining unit described in the thirty-second embodiment. Update the dialogue information selection rule.
  • the dialog information whose effectiveness is relatively low is less likely to be selected, and the situation to be selected decreases (if the dialog information is associated with the hierarchical structure of the acquired learning status information, the association is When the effectiveness is relatively high, the reverse process is performed. Basically, the same process as in Embodiment 18 is performed except that the response dialogue information is used.
  • the hardware configuration of the thirty-third embodiment is based on the hardware configuration of the thirty-first or thirty-second embodiment.
  • the description of the program that performs the same operation as in the thirty-first embodiment or the thirty-second embodiment will be omitted.
  • a new program to be added in the present embodiment "learning response user-specific dialog information selection rule update program" updates the user-specific dialog information selection rule based on the validity determination result.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • An example of the process flow of the interactive learning promotion system of the embodiment 33 is based on the process flow of the embodiment 31 or the embodiment 32.
  • the description of the steps for performing the information processing in common with Embodiment 31 or Embodiment 32 will be omitted.
  • a learning response-by-user dialog information selection rule updating step of updating the user-by-user dialog information selection rule based on the validity determination result.
  • Embodiment 34 is an invention related to an interactive learning promotion system.
  • the learning response statistical interaction information by user for updating the user interaction information selection rule based on the learning response statistical interaction information validity judgment information
  • a selection rule updating unit is provided.
  • ⁇ Embodiment 34 Configuration of the Invention>
  • An exemplary configuration of the interactive learning promotion system according to the thirty-fourth embodiment is based on the thirty-second embodiment or the thirty-third embodiment based on the thirty-second embodiment.
  • the description of the common structure with Embodiment 32 based on Embodiment 32 or Embodiment 32 is omitted.
  • the configuration newly added in the present embodiment is a learning response statistical user-specific dialogue information selection rule updating unit.
  • ⁇ Embodiment 34 Learning response statistical user-specific dialogue information selection rule updating unit>
  • the function of the “learning response statistical user-specific dialogue information selection rule updating unit” updates the user-specific dialogue information selection rule based on the learning response statistical dialogue information validity information of the embodiment 32.
  • the same process as described above is performed for the update.
  • the process is basically the same as that of the nineteenth embodiment except that the response dialogue information is used.
  • the hardware configuration of the thirty-fourth embodiment is based on the hardware configuration of the thirty-second embodiment or the thirty-third embodiment.
  • the description of a program which performs the same operation as in Embodiment 32 or Embodiment 33 subordinate to Embodiment 32 will be omitted.
  • the program newly added in the present embodiment “Learning Response Statistical User-specific Dialogue Information Selection Rule Update Program,” updates the user-specific dialogue information selection rule based on learning response statistical dialogue information validity information.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices.
  • user identification information user attribute information associated with it in some cases
  • external information including SNS user related information
  • learning history information learning effect information, learning analysis rules, learning status information
  • dialogue information Individual user dialogue information selection rule Selected dialogue information Response dialogue information Learning response validity judgment rule Learning response validity judgment result Learning response statistical processing rule Learning response statistical dialogue information validity information
  • various setting information such as communication not shown, and the like are held in the non-volatile memory, loaded into the main memory, and referenced and used in executing a series of programs.
  • Embodiment 35 is an invention related to an interactive purchase promotion system.
  • a purchase response dialogue information acquisition unit and a purchase response validity determination rule for determining the validity of dialogue information output based on the user's response dialogue information A holding unit and a purchase response dialogue information validity judging unit are characterized.
  • ⁇ Embodiment 35 Configuration of the Invention>
  • An example of the configuration of the interactive purchase promotion system according to the thirty-fifth embodiment is based on the configuration of the twenty-second embodiment shown in FIG. 60 or the configuration of the twenty-third embodiment shown in FIG. It is the structure which newly has a rule holding
  • the description of the common configuration with any one of the twenty-second to twenty-fourth embodiments will be omitted, and only the configuration unique to this embodiment will be described.
  • Embodiment 35 Purchase Response Dialogue Information Acquisition Unit
  • the “purchase response dialogue information acquisition unit” acquires response dialogue information for the outputted dialogue information.
  • the response dialogue information is information indicating the reaction of the user to the dialogue information.
  • Information on the user's behavior that can be incorporated into the present system, etc. can be considered.
  • the user's individuality and interaction style are directly expressed in the response dialogue information, it is possible to use it for analysis of user attributes or to store it as user attribute information.
  • the present system is structured such that when the system outputs the dialogue information, the user freely responds to the dialogue information. This point is the same as that described in the thirty-first embodiment.
  • the “learning response validity determination rule holding unit” holds a purchase response validity determination rule which is a rule for determining whether the dialog information is valid based on the response dialog information acquired for the output dialog information.
  • the “purchase response validity determination rule” determines the validity of the output dialogue information by judging from the dialogue information whether the user has taken the intended action by the dialogue information or whether the intended concept has been formed for the user It is a rule.
  • the dialogue information output for the purchase of the specific product It is a system that determines the effectiveness.
  • types of expressions that can be judged as positive reactions in relation to the specific product for example, a statement showing motivation
  • Type of expression that can be judged as a negative reaction in relation to a specific product speech to accept, speech to agree, speech to make a proposal actively, speech to set a goal, etc.
  • This method can be considered by classifying it into one or more validity judgment types. The number of types and the number of divisions of this classification can be set based on the operation policy of the system.
  • the step of classifying the acquired response dialogue information into each type may be performed at the stage of acquisition of the purchase response dialogue information acquisition unit, or the purchase response validity judgment rule possessed by the purchase response validity judgment rule holding unit It may be content. In any configuration, it is necessary to determine the sameness between the response dialogue information and the validity judgment type in order to distribute the response dialogue information as shown below to the validity judgment type. It will have. In the following, it is assumed that the purchase response validity judgment rule holding unit classifies the acquired dialogue information into each type.
  • the purchase response dialogue information validity judgment rule is constituted by at least a rule for determining the meaning content of the response dialogue information, and a rule for judging the validity of the dialogue information outputted for the purchase of a specific product. Be done. Furthermore, in the case where a rule for classifying the semantic content of the response dialogue information into the validity judgment type is independently provided in relation to the specific product, and the meaning content of the response dialogue information in the relationship with the specific product is the effectiveness judgment type It is conceivable that the rule to be classified into is included in either the rule for determining the semantic content of the response dialogue information or the rule for judging the validity of the outputted dialogue information. The details of the validity determination rule are the same as those described in the thirty-first embodiment and the like.
  • the “purchase response dialogue information validity judgment unit” judges the validity of the dialogue information based on the outputted dialogue information, the response dialogue information acquired for the dialogue information, and the purchase response validity judgment rule.
  • the specific content is the same as that of the thirty-first embodiment.
  • Embodiment 35 Hardware Configuration
  • the hardware configuration of the thirty-fifth embodiment is based on the configuration of the twenty-second embodiment shown in FIG. 61 or the configuration of the twenty-third embodiment shown in FIG.
  • the description of the program which performs the common operation with any one of the twenty-second embodiment to the twenty-fourth embodiment will be omitted.
  • the "purchase response dialogue information acquisition program” newly added in the present embodiment acquires the user's response dialogue information corresponding to the outputted dialogue information.
  • the “purchase response validity determination rule holding program” holds purchase response validity determination rules.
  • the “purchase response dialogue information validity judgment program” judges the validity of the outputted dialogue information based on the purchase response validity judgment rule.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information sometimes associated with it
  • external information including SNS user related information
  • purchase history information advertisement transmission history information
  • purchase analysis rule purchase status information
  • Dialog information user-specific dialog information selection rules, selected dialog information, response dialog information, purchase response validity determination rules, purchase response validity determination results, various setting information such as communication not shown, etc.
  • Dialog information user-specific dialog information selection rules, selected dialog information, response dialog information, purchase response validity determination rules, purchase response validity determination results, various setting information such as communication not shown, etc.
  • An example of the process flow of the interactive purchase promotion system of the thirty-fifth embodiment is based on the configuration of the twenty-second embodiment shown in FIG. 62 or the configuration of the twenty-third embodiment shown in FIG. The description of the steps for performing the information processing in common with the twenty-second embodiment to the twenty-fourth embodiment will be omitted.
  • the thirty-sixth embodiment ⁇ Embodiment 36 Outline of the Invention>
  • the present embodiment is an invention related to an interactive purchase promotion system.
  • the invention of this embodiment statistically processes the validity of the dialogue information outputted based on the response dialogue information. It is characterized by comprising purchase response effective processing rule holding means and purchase response statistical dialogue information validity information acquisition means for acquiring purchase response statistical interaction information validity information.
  • ⁇ Embodiment 36 Configuration of the Invention> An example of the configuration of the interactive purchase promotion system of the thirty-sixth embodiment is based on the configuration of the twenty-second embodiment shown in FIG. 60 or the configuration of the twenty-third embodiment shown in FIG. The description of the configuration common to any one of the twenty-second to twenty-fourth embodiments is omitted.
  • the configurations newly added in the present embodiment are purchase response effectiveness statistical processing rule holding means and purchase response statistical dialogue information validity information acquisition means.
  • Purchase response effectiveness statistical processing rule holding means is a rule for performing statistical processing of the effectiveness of interaction information of a plurality of users for each common user attribute with respect to the population, and is a purchase response effectiveness statistical processing rule Is a means possessed by the purchase response dialogue information validity judgment unit which holds the The details are the same as those described in the twenty-fifth embodiment except that response dialogue information is used.
  • Purchasing statistical dialogue information validity information acquiring means statistically makes the dialogue information valid at least in the population based on the dialogue information of a plurality of users and the held purchasing statistics processing rules.
  • a part is a means included in the dialogue information validity judgment unit which acquires statistical dialogue information validity information judged for each common user attribute.
  • Embodiment 25 is the same as Embodiment 25 except that response dialogue information is used.
  • Embodiment 36 Hardware Configuration
  • the hardware configuration of the thirty-sixth embodiment is based on the configuration of the twenty-second embodiment shown in FIG. 61 or the configuration of the twenty-third embodiment shown in FIG.
  • the description of the program which performs the common operation with any one of the twenty-second embodiment to the twenty-fourth embodiment will be omitted.
  • the program newly added in the present embodiment the “purchase response statistical processing rule holding program” holds the purchase response statistical processing rule.
  • the “purchase response statistical interaction information validity information acquisition program” acquires purchase response statistical interaction information validity information based on the purchase response statistical processing rules.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information sometimes associated with it
  • external information including SNS user related information
  • purchase history information purchase effect information
  • purchase analysis rule purchase analysis rule
  • purchase status information dialogue information
  • User-specific dialogue information selection rule selected dialogue information
  • response dialogue information purchase response validity judgment rule
  • purchase response validity judgment result purchase response statistical processing rule
  • purchase response statistical dialogue information validity information communication not shown Etc.
  • the flow of the thirty-sixth embodiment of the processing An example of the process flow of the interactive purchase promotion system of the thirty-sixth embodiment is based on the configuration of the twenty-second embodiment shown in FIG. 62 or the configuration of the twenty-third embodiment shown in FIG. The description of the steps for performing the common information processing in the twelfth to sixteenth embodiments is omitted.
  • a purchase response effectiveness statistical processing rule holding sub step which holds purchase response effectiveness statistical processing rules, and purchase response statistical interaction information effectiveness based on the purchase response effective statistical processing rules Purchase response statistical dialogue information validity information acquisition substep for acquiring information.
  • Embodiment 37 is an invention related to an interactive purchase promotion system.
  • the invention is characterized in that the user-specific dialogue information selection rule is changed based on the purchase response dialogue information validity judgment result.
  • ⁇ Embodiment 37 Configuration of the Invention>
  • the configuration of the interactive promotion system of the thirty-seventh embodiment is based on the thirty-fifth embodiment or the thirty-sixth embodiment, and further includes a purchase response user classified dialogue information selection rule updating unit.
  • the description of the common structure with Embodiment 35 or Embodiment 36 is omitted.
  • the characteristic configuration in the present embodiment is the purchase response user-based dialogue information selection rule updating unit.
  • this part updates the purchase response user-by-user interaction information selection rule using the validity of the response interaction information by user.
  • the purchase corresponding user-by-user pair information selection rule is updated based on the purchase response statistical interaction information validity information.
  • the basic process is the same as that of the twenty-sixth embodiment except that the response dialogue information is used.
  • Embodiment 37 Hardware Configuration
  • the hardware configuration of Embodiment 37 is based on Embodiment 35 or Embodiment 36.
  • the description of the program that performs the same operation as in the thirty-fifth embodiment or the thirty-sixth embodiment will be omitted.
  • the program newly added in the present embodiment “purchase response user by dialog user information update rule” updates the user dialog information selection rule based on the validity information.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • Embodiment 38 ⁇ Embodiment 38> Outline of the Invention Embodiment 38 is an invention related to an interactive purchase promotion system.
  • the purchase response statistical user-specific interaction information updating the user-specific interaction information selection rule based on the purchase response statistical interaction information validity judgment information
  • a selection rule updating unit is provided.
  • ⁇ Embodiment 38 Configuration of the Invention>
  • An exemplary configuration of the interactive purchase promotion system according to the thirty-eighth embodiment is based on the thirty-sixth embodiment or the thirty-seventh embodiment based on the thirty-sixth embodiment.
  • the description of the configuration common to any one of Embodiment 36 or Embodiment 37 based on Embodiment 36 will be omitted.
  • the configuration newly added in the present embodiment is a purchase response statistical user-specific dialogue information selection rule updating unit.
  • the “purchasing response statistical user-specific dialogue information selection rule updating unit” is an interaction by user based on the purchasing response statistical dialogue information validity information acquired by the purchasing response statistical dialogue information validity information acquiring unit of the thirty-sixth embodiment Update information selection rules.
  • Embodiment 37 is the same as Embodiment 37 except that response dialogue information is used.
  • Embodiment 38 Hardware Configuration
  • the hardware configuration of the thirty-eighth embodiment is based on the hardware configuration of the thirty-sixth embodiment or the thirty-seventh embodiment.
  • the description of a program which performs the same operation as in the thirty-sixth embodiment based on the thirty-sixth embodiment or the thirty-sixth embodiment will be omitted.
  • the program newly added in the present embodiment “purchase response statistical user-specific dialogue information selection rule update program” updates the user-specific dialogue information selection rule based on the purchase response statistical dialogue information validity information.
  • the present invention can basically be configured by a general-purpose computer, a program, and various devices.
  • the operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line.
  • the more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there.
  • These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory.
  • user identification information user attribute information sometimes associated with it
  • external information including SNS user related information
  • purchase history information purchase effect information
  • purchase analysis rule purchase status information
  • dialogue information User-specific dialogue information selection rule, selected dialogue information, response dialogue information, purchase response validity judgment rule, purchase response validity judgment result, purchase response statistical processing rule, purchase response statistical dialogue information validity information, update user classified A dialogue information selection rule, various setting information such as communication not shown, and the like are held in the non-volatile memory, loaded into the main memory, and referenced and used in executing a series of programs.
  • Embodiment 39 ⁇ Embodiment 39> Outline of the Invention>
  • This system is intended to interactively promote purchase of a specific product for a user who has an advertisement transmission history of a specific product instead of a user having a purchase history of a specific product. Basically, it is the same as in Embodiments 35 to 38.
  • Embodiment 39 Configuration of the Invention
  • the configuration is basically the same as the invention described in the thirty-fifth through thirty-eighth embodiments, and the description will be omitted.
  • Interactive communication can indicate the directionality of the user's action, and can indicate effective actions in all human activities that depend on personal activities.
  • a health management application e.g., a learning promotion application, a sales promotion system, a care robot, a watching system, employment management, a configuration program in a welfare facility, a driving skill promotion program, a mental stability program for users of long distance transportation means such as airplane and It is possible to use for mental care system of the disaster victim at the time of disaster, management of the communication environment through the Internet, etc.

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Abstract

[Problem] In an interactive system that is currently used, it is possible to merely collect user information or output a dialogue from the system only through mechanical dialogue with the system by using a dedicated application, and a user cannot experience warm feelings felt when talking to humans, for example. It is hard for a user to be psychologically influenced by interpersonal communication such as when being encouraged by someone, being supported by someone, being worried about by someone, being advised by someone, or having someone agree. [Solution] Provided is an interactive system which is capable of having a dialogue with a user of the system with warm feelings as if the user talked to a person, by analyzing SNS-related information on a user, etc., using the analyzed information to enable analysis of the metal state of the user, and advising the user through an SNS.

Description

対話式健康促進システム、対話式学習促進システム、対話式購入促進システムInteractive health promotion system, interactive learning promotion system, interactive purchase promotion system
　本発明は、システムを利用してあたかも自分の身を案じてくれる一人の人間と接しているように感じられる対話を通じて、システム利用者の健康、学習、購買を促進するシステムに関する発明である。 The present invention is an invention relating to a system that promotes the health, learning, and purchasing of a system user through a dialog that makes use of the system and feels as if in contact with a single person who is thinking about himself.
　個人の健康状況に関するデータや情報を専用のアプリに入力することで、入力されたデータや情報を分析して食事や運動に関するアドバイスを行って健康管理を行うシステムが知られている。近年では、入力されたデータや情報を分析するシステムとして、ＡＩを用いるシステムも利用されている。 There is known a system that performs health management by analyzing input data and information and giving advice on diet and exercise by inputting data and information on personal health conditions into a dedicated application. In recent years, a system using AI has also been used as a system for analyzing input data and information.
　あるいは、個人の学習ペースや学力をＡＩ等を用いて分析して、その個人に合わせた学習プログラムを提供する学習システムが知られている。 Alternatively, there is known a learning system which analyzes an individual's learning pace and academic ability using AI or the like and provides a learning program tailored to the individual.
　あるいは、個人の購買履歴や閲覧履歴をＡＩ等を用いて分析して、その個人の好みや興味を持っている商品、ブランドについてマーケティングを行い、その個人が別の機会にインターネットを利用する際に自動的にその個人の好みや興味を持っている商品、ブランドに関する宣伝広告を表示するシステムが知られている。 Alternatively, when analyzing personal purchase history and browsing history using AI etc., marketing products and brands that have personal preference and interest, and when the individual uses the Internet at another opportunity. There is known a system that automatically displays advertisements for products and brands that have personal preferences and interests.
特願２０１５－５３５９３１Japanese Patent Application No. 2015-535931
　しかしながら、先行技術文献１に示される技術のように、現在利用されている健康促進アプリにおいては、専用のアプリ内でのシステムとの機械的なやりとりのみによって健康促進情報の収集や、健康促進のためのアドバイスをするのみであった。そのため、利用者はシステムとのやりとりを通じて、人間と話しているような温かみを実感することが出来なかった。人間と話しているような温かみを実感することが出来ない場合、利用者は、誰かに励まされている、見守られている、応援されている、情けない所を見られたくない、褒めてもらえて嬉しい、上手くできなくて情けない、悲しい、といった、人間が努力を反復継続させるうえで欠かせない感情を持続的に抱くことが困難であった。そのため、健康改善への意欲は、利用開始から時間が経過するごとに減退していき、利用者はシステムの利用を長期間継続することが困難であった。例えば、システムの利用開始からしばらく時間が経過すると、システムからの健康促進のためのアドバイスに従わなくなったり、システムからの面倒な健康促進アドバイスを回避するためにシステムが最適と判断する情報やデータをシステムに対して入力するようになっていた。そこで、システムの利用者に、システムとのやり取りを通じて人間が努力を反復継続させるうえで欠かせない感情を持続的に抱かせるために、あたかも人間と話しているかのような温かみのある対話を行える対話式システムの提供をすることが求められていた。 However, as in the technology shown in prior art document 1, in the health promotion application currently used, collection of health promotion information and health promotion only by mechanical interaction with the system within the dedicated application It was only for giving advice. Therefore, the user could not realize the warmth like talking with human beings through interaction with the system. If you can not feel the warmth you are talking to human beings, you will not want to be seen by someone who is encouraged, watched, cheered, disgusted, or give up. It was difficult for us to continuously have the emotions that are essential for human beings to repeat their efforts, such as being happy, unable to do it, being sad, sad. Therefore, the motivation for health improvement diminishes with the passage of time from the start of use, and it has been difficult for users to continue using the system for a long time. For example, if it has been a while since the start of using the system, the information or data that the system judges to be optimal in order to avoid following the advice for health promotion from the system or to avoid troublesome health promotion advice from the system It was supposed to be input to the system. Therefore, we can perform a warm dialogue as if we were talking to human beings, in order to continuously hold emotions that are essential for human beings to repeat and continue their efforts through interaction with the system. It was required to provide an interactive system.
　あるいは、学習に関するシステムには、個人に即した学習プログラムをどんなに提供していても、そもそもその個人が学習に着手するという意欲を持たない場合には、何の効果も得られないという問題があった。人間のやる気は、誰かに励まされている、見守られている、応援されている、情けない所を見られたくない、褒めてもらえて嬉しい、上手くできなくて情けない、悲しい、といった、人間が努力を反復継続させるうえで欠かせない感情を持続的に抱くことによって奮起、継続させることが可能である。そこで、システムの利用者に、システムとのやり取りを通じて人間が努力を反復継続させるうえで欠かせない感情を持続的に抱かせるために、あたかも人間と話しているかのような温かみのある対話を行える対話式システムの提供をすることが求められていた。 Alternatively, there is a problem in the system related to learning that no matter how much the individualized learning program is provided, no effect can be obtained if the individual does not have the desire to start learning in the first place. The The human motivation is that someone is encouraging, watching, cheering, don't want to be seen in a disappointing place, happy to give up, happy to be awkward, sad, etc. It is possible to be inspired and continued by continuously holding the emotions that are essential for repeating and continuing. Therefore, we can perform a warm dialogue as if we were talking to human beings, in order to continuously hold emotions that are essential for human beings to repeat and continue their efforts through interaction with the system. It was required to provide an interactive system.
　あるいは、宣伝広告に関するシステムは、一方的に情報提供されるにすぎず、ユーザがその時求める情報を的確に提供することはできないため、その宣伝広告の具体的な内容に接触する、商品に接触するという機会につながるケースが少なく、現実の購買意欲を向上させる効果が弱いという問題があった。人間の購買意欲は、自分がよいと思っているものを人にも進められたり、自分がよいと思っているものについて人からも共感を得られたり、自分以外の人との対話を繰り返すことによって奮起、継続させることが可能である。そこで、あたかも人と話しているかのような感覚を抱かせながら商品のアプローチを行う対話式システムの提供をすることが求められていた。 Alternatively, since the system for advertisement is only unilaterally provided information and the user can not accurately provide the information required at that time, the product contacts the specific content of the advertisement and contacts the product There were few cases that led to such an opportunity, and there was a problem that the effect of improving the actual purchase motivation was weak. People's willingness to buy is that people can promote what they think is good, get sympathy from others about what they think is good, and repeat dialogues with people other than themselves It is possible to inspire and continue. Therefore, it has been required to provide an interactive system in which products are approached while giving the feeling as if they were talking with people.
　そこで、システムの利用者に、システムとの対話をあたかも人間と話しているかのような錯覚を抱かせることが可能な、温かみのある対話を行える対話式システムの提供をすることを、本発明の課題とする。 Therefore, it is an object of the present invention to provide an interactive system capable of warm dialog capable of giving the user of the system the illusion of talking with the system as if it were talking with a human being. It will be an issue.
　上記課題を解決するために、本発明において、以下の対話式健康促進システムなどを提供する。すなわち、第一の発明として、ＳＮＳを利用するユーザを識別するユーザ識別情報を保持するユーザ識別情報保持部と、ユーザ識別情報と関連付けてユーザが利用するＳＮＳのユーザの発言を含むユーザ関連情報であるＳＮＳユーザ関連情報を外部情報として取得するＳＮＳユーザ関連情報取得部と、ユーザ識別情報と関連付けて外部情報を健康状況の把握の観点で分析して健康状況情報を取得するためのルールである分析ルールを保持する分析ルール保持部と、ユーザ識別情報に関連付けられている取得した外部情報と同じユーザ識別情報に関連付けられている分析ルールとに基づいて健康状況情報を取得する健康状況情報分析取得部と、ユーザ識別情報に関連づけて取得した健康状況情報に応じて発信すべき対話情報を蓄積した対話情報蓄積部と、取得した健康状況情報に基づいて蓄積されている対話情報を選択するユーザ識別情報に関連付けられたルールであるユーザ別対話情報選択ルールを保持するユーザ別対話情報選択ルール保持部と、取得した健康状況情報と保持されているユーザ別対話情報選択ルールと、に基づいてそのユーザごとの特性に即した対話形式の対話情報を対話情報蓄積部から選択する対話情報選択部と、選択した対話情報をユーザ識別情報で識別されるユーザに対して前記ＳＮＳを介して出力するための対話情報出力部と、を有する対話式健康促進システムを提供する。 In order to solve the above problems, the present invention provides the following interactive health promotion system and the like. That is, as a first invention, a user identification information holding unit that holds user identification information that identifies a user who uses SNS, and user related information that includes an utterance of a SNS user who uses the user in association with the user identification information. An SNS user related information acquisition unit that acquires certain SNS user related information as external information, and an analysis that is a rule for acquiring health condition information by analyzing external information from the viewpoint of grasping health conditions in association with user identification information Health condition information analysis acquisition unit that acquires health condition information based on an analysis rule holding unit that holds rules and an analysis rule that is associated with the same user identification information as the acquired external information that is associated with the user identification information And dialogue information storing dialogue information to be transmitted according to the health status information acquired in association with the user identification information A user-by-user dialog information selection rule holding unit which holds a user-by-user dialog information selection rule which is a rule associated with user identification information for selecting the dialogue information accumulated based on the acquired health condition information; A dialog information selection unit for selecting from the dialog information storage unit dialog information in a dialog format according to the characteristics of each user based on the acquired health condition information and the user-specific dialog information selection rule held And a dialog information output unit for outputting dialog information to the user identified by the user identification information via the SNS.
　次に、第二の発明として、ユーザ識別情報と関連付けてユーザが検索したブラウザの検索履歴情報であるブラウザ検索履歴ユーザ関連情報を外部情報として取得するブラウザ検索履歴ユーザ関連情報取得部をさらに有する第一の発明に記載の対話式健康促進システムを提供する。 Next, as a second invention, a browser search history user related information acquiring unit which acquires browser search history user related information which is search history information of a browser searched by a user in association with user identification information as external information An interactive health promotion system according to one invention is provided.
　次に、第三の発明として、ユーザ識別情報と関連付けてニュース情報を外部情報として取得するニュースユーザ関連情報取得部をさらに有する第一の発明又は第二の発明に記載の対話式健康促進システムを提供する。 Next, as a third invention, the interactive health promotion system according to the first invention or the second invention further including a news user related information acquiring unit for acquiring news information as external information in association with user identification information. provide.
　次に、第四の発明として、ユーザ識別情報と関連付けてユーザの端末に記録されているライフログであるライフログユーザ関連情報を外部情報として取得するライフログユーザ関連情報取得部をさらに有する第一の発明から第三の発明のいずれか一に記載の対話式健康促進システムを提供する。 Next, as a fourth invention, the first invention further includes a life log user related information acquiring unit for acquiring life log user related information which is a life log recorded in the user's terminal in association with user identification information as external information The interactive health promotion system according to any one of the inventions to the third invention is provided.
　次に、第五の発明として、出力された対話情報に対する応答対話情報を取得する応答対話情報取得部をさらに有する第一の発明から第四の発明のいずれか一に記載の対話式健康促進システムを提供する。 Next, as a fifth invention, the interactive health promotion system according to any one of the first invention to the fourth invention, further comprising a response dialogue information acquisition unit for acquiring response dialogue information to the outputted dialogue information. I will provide a.
　次に、第六の発明として、出力された対話情報に対して取得された応答対話情報が有効であったか判断するルールである有効性判断ルールを保持する有効性判断ルール保持部と、出力された対話情報とこの対話情報に対して取得された応答対話情報と、有効性判断ルールとに基づいて対話情報の有効性を判断する対話情報有効性判断部と、をさらに有する第五の発明に記載の対話式健康促進システムを提供する。 Next, as a sixth aspect of the invention, there is provided a validity judgment rule holding unit for holding a validity judgment rule which is a rule for judging whether the response dialogue information acquired with respect to the outputted dialogue information is valid or not. A fifth invention described in the fifth invention further comprising a dialogue information validity judgment unit which judges the validity of the dialogue information based on the dialogue information, the response dialogue information acquired for the dialogue information, and the validity judgment rule. Provide an interactive health promotion system.
　次に、第七の発明として、前記対話情報有効性判断部は、複数のユーザの対話情報の有効性を母集団に対して一部は共通のユーザ属性ごとに統計処理するルールである有効性統計処理ルールを保持する有効性統計処理ルール保持手段と、
複数のユーザの対話情報と、保持されている有効性統計処理ルールとに基づいて、統計的に対話情報の有効性を少なくとも母集団に対して一部は共通のユーザ属性ごとに判断した統計的対話情報有効性情報を取得する統計的対話情報有効性情報取得手段と、
を有する第六の発明に記載の対話式健康促進システムを提供する。 Next, as a seventh invention, the dialogue information validity judging unit is a rule for performing statistical processing of the validity of dialogue information of a plurality of users for each common user attribute with respect to a population with respect to a population Effectiveness statistical processing rule holding means for holding statistical processing rules;
Based on the interaction information of a plurality of users and the held effectiveness statistical processing rules, the effectiveness of the interaction information is determined statistically at least for the population, and a statistical determination is made for each common user attribute. Statistical dialogue information validity information acquiring means for acquiring dialogue information validity information;
The interactive health promotion system according to the sixth aspect of the present invention is provided.
　次に、第八の発明として、有効性判断結果に基づいてユーザ別対話情報選択ルール保持部に保持されているユーザ別対話情報選択ルールを更新するユーザ別対話情報選択ルール更新部をさらに有する第六の発明又は第七の発明に記載の対話式健康促進システムを提供する。 Next, as an eighth invention, the user-by-user dialog information selection rule updating unit updating the user-by-user dialog information selection rule held in the user-by-user dialog information selection rule holding unit based on the validity determination result The interactive health promotion system according to the sixth invention or the seventh invention is provided.
　次に、第九の発明として、取得した統計的対話情報有効性情報に基づいてユーザ別対話情報選択ルール保持部に保持されているユーザ別対話情報選択ルールを更新する統計的ユーザ別対話情報選択ルール更新部をさらに有する第七の発明又は第七の発明に従属する第八の発明に記載の対話式健康促進システムを提供する。 Next, as a ninth invention, statistical user-specific dialogue information selection for updating the user-specific dialogue information selection rule held in the user-specific dialogue information selection rule holding unit based on the acquired statistical dialogue information validity information An interactive health promotion system according to a seventh invention or an eighth invention subordinate to the seventh invention, further comprising a rule updating unit.
　次に、第十の発明として、ＳＮＳを利用するユーザを識別するユーザ識別情報を保持するユーザ識別情報保持部と、ユーザ識別情報と関連付けて外部情報を健康状況の把握の観点で分析して健康状況情報を取得するためのルールである分析ルールを保持する分析ルール保持部と、ユーザ識別情報に関連づけて取得した健康状況情報に応じて発信すべき対話情報を蓄積した対話情報蓄積部と、取得した健康状況情報に基づいて蓄積されている対話情報を選択するユーザ識別情報に関連付けられたルールであるユーザ別対話情報選択ルールを保持するユーザ別対話情報選択ルール保持部と、を有する対話式健康促進システムの動作方法であって、ユーザ識別情報と関連付けてユーザが利用するＳＮＳのユーザの発言を含むユーザ関連情報であるＳＮＳユーザ関連情報を外部情報として取得するＳＮＳユーザ関連情報取得ステップと、ユーザ識別情報に関連付けられている取得した外部情報と同じユーザ識別情報に関連付けられている分析ルールとに基づいて健康状況情報を取得する健康状況情報分析取得ステップと、取得した健康状況情報と保持されているユーザ別対話情報選択ルールと、に基づいてそのユーザごとの特性に即した対話形式の対話情報を対話情報蓄積部から選択する対話情報選択ステップと、選択した対話情報をユーザ識別情報で識別されるユーザに対して前記ＳＮＳを介して出力するための対話情報出力ステップと、からなる対話式健康促進システムの動作方法を提供する。 Next, as a tenth invention, a user identification information holding unit that holds user identification information for identifying a user who uses SNS, and external information in relation to user identification information to analyze health information in view of health status An analysis rule holding unit that holds an analysis rule that is a rule for acquiring status information, a dialog information storage unit that stores dialog information to be sent out according to the health status information acquired in association with user identification information, Interactive health information holding rule for each user that holds dialog information selection rules for each user, which is a rule associated with user identification information for selecting the dialog information accumulated based on the selected health status information An operation method of a promotion system, which is user related information including an utterance of a user of an SNS used by the user in association with the user identification information. The health condition information is obtained based on the SNS user related information acquisition step of acquiring the NS user related information as the external information, and the analysis rule associated with the same user identification information as the acquired external information associated with the user identification information. Based on the health condition information analysis acquisition step to be acquired, and the acquired health condition information and the user-specific dialog information selection rule held, the dialogue information of dialog type according to the characteristics of each user from the dialogue information storage unit A method of operating an interactive health promotion system comprising: a dialog information selection step to select; and a dialog information output step to output the selected dialog information to the user identified by the user identification information via the SNS. provide.
　次に、第十一の発明として、ＳＮＳを利用するユーザを識別するユーザ識別情報を保持するユーザ識別情報保持部と、ユーザ識別情報と関連付けて外部情報を健康状況の把握の観点で分析して健康状況情報を取得するためのルールである分析ルールを保持する分析ルール保持部と、ユーザ識別情報に関連づけて取得した健康状況情報に応じて発信すべき対話情報を蓄積した対話情報蓄積部と、取得した健康状況情報に基づいて蓄積されている対話情報を選択するユーザ識別情報に関連付けられたルールであるユーザ別対話情報選択ルールを保持するユーザ別対話情報選択ルール保持部と、を有する対話式健康促進システムの動作方法プログラムであって、ユーザ識別情報と関連付けてユーザが利用するＳＮＳのユーザの発言を含むユーザ関連情報であるＳＮＳユーザ関連情報を外部情報として取得するＳＮＳユーザ関連情報取得ステップと、ユーザ識別情報に関連付けられている取得した外部情報と同じユーザ識別情報に関連付けられている分析ルールとに基づいて健康状況情報を取得する健康状況情報分析取得ステップと、取得した健康状況情報と保持されているユーザ別対話情報選択ルールと、に基づいてそのユーザごとの特性に即した対話形式の対話情報を対話情報蓄積部から選択する対話情報選択ステップと、選択した対話情報をユーザ識別情報で識別されるユーザに対して前記ＳＮＳを介して出力するための対話情報出力ステップと、からなる対話式健康促進システムの動作プログラムを提供する。 Next, as an eleventh invention, a user identification information holding unit that holds user identification information for identifying a user who uses SNS, and user identification information in association with external information is analyzed from the viewpoint of grasping the health situation An analysis rule holding unit that holds an analysis rule that is a rule for acquiring health condition information, and a dialogue information storage unit that stores dialogue information to be transmitted according to the health condition information acquired in association with the user identification information; Interactive information selection rule holding unit for each user holding a user-specific dialog information selection rule which is a rule associated with the user identification information for selecting the accumulated dialogue information based on the acquired health condition information An operation method program of a health promotion system, comprising: a user relationship of the SNS used by the user in association with the user identification information; SNS user related information acquisition step of acquiring SNS user related information which is information as external information, and health based on the analysis rule associated with the same user identification information as the acquired external information associated with the user identification information The dialogue information of the dialogue type according to the characteristics of each user based on the health condition information analysis acquisition step of acquiring the situation information, the acquired health condition information and the held user dialogue information selection rule An interactive health promotion system comprising: a dialogue information selection step selected from a storage unit; and a dialogue information output step for outputting the selected dialogue information to the user identified by the user identification information via the SNS. Provide an operation program.
　次に、第十二の発明として、ＳＮＳ及び学習システムを利用するユーザを識別するユーザ識別情報を保持する第一学習ユーザ識別情報保持部と、ユーザ識別情報と関連付けてユーザが利用するＳＮＳのユーザの発言を含むユーザ関連情報であるＳＮＳユーザ関連情報を外部情報として取得する第一学習ＳＮＳユーザ関連情報取得部と、ユーザ識別情報と関連付けてユーザが利用する学習システムからその学習システムで行われた学習の履歴を示す情報である学習履歴情報を取得する第一学習履歴情報取得部と、ユーザ識別情報と関連付けてユーザが利用する学習システムからその学習システムで行われた学習の効果を示す情報である学習効果情報を取得する第一学習効果情報取得部と、ユーザ識別情報と関連付けて外部情報と、学習履歴情報と、学習効果情報と、を学習状況の把握の観点で分析して学習状況情報を取得するためのルールである学習分析ルールを保持する第一学習分析ルール保持部と、ユーザ識別情報に関連付けられている取得した外部情報と、学習履歴情報と、学習効果情報と、同じユーザ識別情報に関連付けられている分析ルールとに基づいて学習状況情報を取得する学習状況情報分析取得部と、ユーザ識別情報に関連づけて取得した学習状況情報に応じて発信すべき対話情報を蓄積した第一学習対話情報蓄積部と、取得した学習状況情報に基づいて蓄積されている対話情報を選択するユーザ識別情報に関連付けられたルールであるユーザ別対話情報選択ルールを保持する第一学習ユーザ別対話情報選択ルール保持部と、取得した学習状況情報と保持されているユーザ別対話情報選択ルールと、に基づいてそのユーザごとの特性に即した対話形式の対話情報を第一学習対話情報蓄積部から選択する第一学習対話情報選択部と、選択した対話情報をユーザ識別情報で識別されるユーザに対して前記ＳＮＳを介して出力するための第一学習対話情報出力部と、を有する対話式学習促進システムを提供する。 Next, as a twelfth invention, a first learning user identification information holding unit that holds user identification information identifying a user who uses an SNS and a learning system, and an SNS user who uses the SNS in association with the user identification information The first learning SNS user related information acquisition unit that acquires SNS user related information that is user related information that includes the remarks of the user as external information, and the learning system that the user uses in association with the user identification information The first learning history information acquisition unit that acquires learning history information that is information indicating the history of learning, and information that indicates the effect of learning performed in the learning system from the learning system used by the user in association with the user identification information. A first learning effect information acquisition unit for acquiring certain learning effect information, external information in association with user identification information, and learning history information And a learning analysis rule holding unit which is a rule for acquiring learning situation information by analyzing learning effect information in view of grasping the learning situation, and is associated with user identification information, Learning status information analysis acquisition unit that acquires learning status information based on acquired external information, learning history information, learning effect information, and analysis rules associated with the same user identification information, and user identification information The first learning dialogue information storage unit storing dialogue information to be transmitted according to the learning situation information acquired in association with the user identification information associated with the user identification information for selecting the dialogue information accumulated based on the acquired learning situation information The first learning user classified dialogue information selection rule holding unit that holds the classified dialogue information selection rule by user, and the acquired learning status information A first learning dialogue information selecting unit for selecting dialogue information in a dialogue format according to the user-specific dialogue information selection rule from the first learning dialogue information storage unit based on the user-by-user dialogue information selection rule; An interactive learning promotion system comprising: a first learning dialogue information output unit for outputting to a user identified by identification information via the SNS.
　次に、第十三の発明として、ＳＮＳ及び学習システムを利用するユーザを識別するユーザ識別情報を保持する第二学習ユーザ識別情報保持部と、ユーザ識別情報と関連付けてユーザが利用するＳＮＳのユーザの発言を含むユーザ関連情報であるＳＮＳユーザ関連情報を外部情報として取得する第二学習ＳＮＳユーザ関連情報取得部と、ユーザ識別情報と関連付けてユーザが利用する学習システムからその学習システムで行われた学習の履歴を示す情報である学習履歴情報を取得する第二学習履歴情報取得部と、ユーザ識別情報と関連付けてユーザが利用する学習システムからその学習システムで行われた学習の効果を示す情報である学習効果情報を取得する第二学習効果情報取得部と、ユーザ識別情報と関連付けてユーザが利用する学習システムからその学習システムで行われるカリキュラム情報を取得する第二学習カリキュラム情報取得部と、ユーザ識別情報と関連付けて外部情報と、学習履歴情報と、学習効果情報と、カリキュラム情報と、を学習状況の把握の観点で分析して学習状況情報を取得するためのルールである学習分析ルールを保持する第二学習分析ルール保持部と、ユーザ識別情報に関連付けられている取得した外部情報と、学習履歴情報と、学習効果情報と、カリキュラム情報と、同じユーザ識別情報に関連付けられている分析ルールとに基づいて学習状況情報を取得する第二学習状況情報分析取得部と、ユーザ識別情報に関連づけて取得した学習状況情報に応じて発信すべき対話情報を蓄積した第二学習対話情報蓄積部と、取得した学習状況情報に基づいて蓄積されている対話情報を選択するユーザ識別情報に関連付けられたルールであるユーザ別対話情報選択ルールを保持する第二学習ユーザ別対話情報選択ルール保持部と、取得した学習状況情報と保持されているユーザ別対話情報選択ルールと、に基づいてそのユーザごとの特性に即した対話形式の対話情報を第二学習対話情報蓄積部から選択する第二学習対話情報選択部と、選択した対話情報をユーザ識別情報で識別されるユーザに対して前記ＳＮＳを介して出力するための第二学習対話情報出力部と、を有する対話式学習促進システムを提供する。 Next, as a thirteenth invention, a second learning user identification information holding unit that holds user identification information identifying a user who uses the SNS and the learning system, and an SNS user who uses the SNS in association with the user identification information The second learning SNS user related information acquisition unit that acquires SNS user related information that is user related information that includes the remarks as external information, and the learning system that is performed by the user from the learning system that the user uses in association with the user identification information The second learning history information acquisition unit that acquires learning history information that is information indicating the history of learning, and information that indicates the effect of learning performed in the learning system from the learning system used by the user in association with the user identification information The second learning effect information acquisition unit for acquiring certain learning effect information, and the learning system used by the user in association with the user identification information A second learning curriculum information acquisition unit for acquiring curriculum information performed in the learning system from the learning system, external information, learning history information, learning effect information, and curriculum information in association with user identification information; A second learning analysis rule holding unit that holds learning analysis rules that are rules for analyzing and acquiring learning situation information from the viewpoint of grasping, acquired external information associated with user identification information, and learning history information The second learning status information analysis acquiring unit that acquires learning status information based on the learning effect information, the curriculum information, and the analysis rule associated with the same user identification information, and the user identification information Based on the second learning dialogue information storage unit storing the dialogue information to be transmitted according to the learning situation information, and the acquired learning situation information A second learning user classified dialogue information selection rule holding unit holding a classified dialogue information selection rule by user, which is a rule associated with user identification information for selecting accumulated dialogue information, and acquired learning status information A second learning dialogue information selecting unit for selecting from the second learning dialogue information storage unit a dialogue-type dialogue information conforming to the characteristics of each user based on the user-by-user dialogue information selection rule, and the selected dialogue information And a second learning dialogue information output unit for outputting to the user identified by the user identification information via the SNS.
　次に、第十四の発明として、ＳＮＳ及び学習システムを利用するユーザを識別するユーザ識別情報を保持する第三学習ユーザ識別情報保持部と、ユーザ識別情報と関連付けてユーザが利用するＳＮＳのユーザの発言、学習システム関係者の発言（コンピュータによって生成された発言を含む）を含むユーザ関連情報であるＳＮＳユーザ関連情報を外部情報として取得する第三学習ＳＮＳユーザ関連情報取得部と、ユーザ識別情報と関連付けてユーザが利用する学習システムからその学習システムで行われた学習の履歴を示す情報である学習履歴情報を取得する第三学習履歴情報取得部と、ユーザ識別情報と関連付けてユーザが利用する学習システムからその学習システムで行われた学習の効果を示す情報である学習効果情報を取得する第三学習効果情報取得部と、ユーザ識別情報と関連付けて外部情報と、学習履歴情報と、学習効果情報と、を学習状況の把握の観点で分析して学習状況情報を取得するためのルールである学習分析ルールを保持する第三学習分析ルール保持部と、ユーザ識別情報に関連付けられている取得した外部情報と、学習履歴情報と、学習効果情報と、同じユーザ識別情報に関連付けられている分析ルールとに基づいて学習状況情報を取得する第三学習学習状況情報分析取得部と、ユーザ識別情報に関連づけて取得した学習状況情報に応じて発信すべき対話情報を蓄積した第三学習対話情報蓄積部と、取得した学習状況情報に基づいて蓄積されている対話情報を選択するユーザ識別情報に関連付けられたルールであるユーザ別対話情報選択ルールを保持する第三学習ユーザ別対話情報選択ルール保持部と、取得した学習状況情報と保持されているユーザ別対話情報選択ルールと、に基づいてそのユーザごとの特性に即した対話形式の対話情報を第三学習対話情報蓄積部から選択する第三学習対話情報選択部と、選択した対話情報をユーザ識別情報で識別されるユーザに対して前記ＳＮＳを介して出力するための第三学習対話情報出力部と、を有する対話式学習促進システムを提供する。 Next, as a fourteenth invention, a third learning user identification information holding unit that holds user identification information identifying a user who uses the SNS and the learning system, and an SNS user who uses the SNS in association with the user identification information A third learning SNS user related information acquisition unit that acquires SNS user related information, which is user related information including the remarks of the person concerned with the learning system (including the remarks generated by the computer), as external information; The third learning history information acquisition unit that acquires learning history information that is information indicating the history of learning performed in the learning system that is used by the user from the learning system that is used by the user in association with the Third, acquiring learning effect information, which is information indicating an effect of learning performed in the learning system, from the learning system Learning that is a rule for acquiring learning situation information by analyzing learning effect information acquiring unit, external information in association with user identification information, learning history information, and learning effect information from the viewpoint of grasping the learning situation A third learning analysis rule holding unit that holds analysis rules, acquired external information associated with user identification information, learning history information, learning effect information, and analysis rules associated with the same user identification information A third learning learning situation information analysis acquiring unit for acquiring learning situation information based on the third learning dialogue information accumulating unit storing dialogue information to be transmitted according to the learning situation information acquired in association with the user identification information; The user-by-user dialog information selection rule which is a rule associated with the user identification information for selecting the dialog information accumulated based on the acquired learning status information Third learning of dialogue-type dialogue information conforming to the characteristics of each user based on the learning user-specific dialogue information selection rule holding unit, the acquired learning situation information and the held user-specific dialogue information selection rule A third learning dialogue information selection unit selected from the dialogue information storage unit; a third learning dialogue information output unit for outputting the selected dialogue information to the user identified by the user identification information via the SNS; An interactive learning promotion system is provided.
　次に、第十五の発明として、出力された対話情報に対して取得された学習効果情報に基づいて対話情報が有効であったか判断するルールである学習有効性判断ルールを保持する学習有効性判断ルール保持部と、出力された対話情報とこの対話情報に対して取得された学習効果情報と、学習有効性判断ルールとに基づいて対話情報の有効性を判断する学習対話情報有効性判断部と、をさらに有する第十二の発明から第十四の発明のいずれか一に記載の対話式学習促進システムを提供する。 Next, as a fifteenth invention, a learning effectiveness judgment that holds a learning effectiveness judgment rule which is a rule to judge whether the dialogue information is effective based on the learning effect information acquired for the outputted dialogue information A rule holding unit, a learning dialogue information validity judgment unit for judging the validity of the dialogue information based on the outputted dialogue information, the learning effect information acquired for the dialogue information, and the learning validity judgment rule; And the interactive learning promotion system according to any one of the twelfth invention to the fourteenth invention.
　次に、第十六の発明として、出力された対話情報に対して取得された学習履歴情報に基づいて対話情報が有効であったか判断するルールである学習履歴有効性判断ルールを保持する学習履歴有効性判断ルール保持部と、出力された対話情報とこの対話情報に対して取得された学習履歴情報と、学習履歴有効性判断ルールとに基づいて対話情報の有効性を判断する学習履歴対話情報有効性判断部と、をさらに有する第十二の発明から第十五の発明のいずれか一に記載の対話式学習促進システムを提供する。 Next, as a sixteenth invention, a learning history valid holding rule for learning history validity judging, which is a rule to judge whether the dialog information is valid based on the learning history information acquired with respect to the outputted dialog information The learning history dialogue information validity which judges the validity of the dialogue information based on the sex judgment rule holding unit, the outputted dialogue information, the learning history information acquired for the dialogue information, and the learning history validity judgment rule An interactive learning promotion system according to any one of the twelfth invention to the fifteenth invention, further comprising a sex judgment unit.
　次に、第十七の発明として、前記学習対話情報有効性判断部又は／及び前記学習履歴対話情報有効性判断部は、複数のユーザの対話情報の有効性を母集団に対して一部は共通のユーザ属性ごとに統計処理するルールである学習有効性統計処理ルールを保持する学習有効性統計処理ルール保持手段と、複数のユーザの対話情報と、保持されている学習有効性統計処理ルールとに基づいて、統計的に対話情報の有効性を少なくとも母集団に対して一部は共通のユーザ属性ごとに判断した学習統計的対話情報有効性情報を取得する学習統計的対話情報有効性情報取得手段と、を有する第十五の発明又は第十六の発明に記載の対話式学習促進システムを提供する。 Next, as a seventeenth invention, the learning dialogue information validity judging unit or / and the learning history dialogue information validity judging unit is a part of the validity of the dialogue information of a plurality of users with respect to the population. Learning effectiveness statistical processing rule holding means for holding learning effectiveness statistical processing rules which are rules for performing statistical processing for each common user attribute, dialogue information of a plurality of users, and learning effectiveness statistical processing rules held Learning statistical dialogue information effectiveness information obtained by statistically judging the effectiveness of dialogue information at least partially for each common user attribute with respect to the population learning statistical dialogue information validity information acquisition An interactive learning promotion system according to the fifteenth invention or the sixteenth invention comprising: means.
　次に、第十八の発明として、学習対話情報有効性判断部又は／及び前記学習履歴対話情報有効性判断部での判断結果に基づいて（第一から第三のいずれでもよい）学習ユーザ別対話情報選択ルール保持部に保持されているユーザ別対話情報選択ルールを更新するユーザ別対話情報選択ルール更新部をさらに有する第十五の発明から第十七の発明のいずれか一に記載の対話式学習促進システムを提供する。 Next, as an eighteenth invention, on the basis of the judgment result of the learning dialogue information validity judging unit or / and the learning history dialogue information validity judging unit (by any of the first to third) Dialog according to any one of the fifteenth inventions to the seventeenth invention, further comprising a user-by-user dialog information selection rule updating unit for updating the user-by-user dialog information selection rule held in the dialog information selection rule holding unit Provide a formula learning promotion system.
　次に、第十九の発明として、取得した学習統計的対話情報有効性情報に基づいて（第一から第三のいずれでもよい）学習ユーザ別対話情報選択ルール保持部に保持されているユーザ別対話情報選択ルールを更新する学習統計的ユーザ別対話情報選択ルール更新部をさらに有する第十七の発明又は第十七の発明に従属する第十八の発明に記載の対話式学習促進システム。 Next, as a nineteenth invention, based on the acquired learning statistical dialogue information validity information (may be any of first to third) classified by user held in the dialogue user information-by-learning user rule holding section for each learning user The interactive learning promotion system according to an eighteenth invention or an eighteenth invention according to the seventeenth invention, further comprising a learning statistical user-specific dialogue information selection rule updating unit updating the dialogue information selection rule.
　次に、第二十の発明として、ＳＮＳ及び学習システムを利用するユーザを識別するユーザ識別情報を保持する学習ユーザ識別情報保持部と、ユーザ識別情報と関連付けて外部情報と、学習履歴情報と、学習効果情報と、を学習状況の把握の観点で分析して学習状況情報を取得するためのルールである学習分析ルールを保持する学習分析ルール保持部と、
　ユーザ識別情報に関連づけて取得した学習状況情報に応じて発信すべき対話情報を蓄積した学習対話情報蓄積部と、取得した学習状況情報に基づいて蓄積されている対話情報を選択するユーザ識別情報に関連付けられたルールであるユーザ別対話情報選択ルールを保持する学習ユーザ別対話情報選択ルール保持部と、を有する対話式健康促進システムの動作方法であって、ユーザ識別情報と関連付けてユーザが利用するＳＮＳのユーザの発言を含むユーザ関連情報であるＳＮＳユーザ関連情報を外部情報として取得する学習ＳＮＳユーザ関連情報取得ステップと、ユーザ識別情報と関連付けてユーザが利用する学習システムからその学習システムで行われた学習の履歴を示す情報である学習履歴情報を取得する学習履歴情報取得ステップと、ユーザ識別情報と関連付けてユーザが利用する学習システムからその学習システムで行われた学習の効果を示す情報である学習効果情報を取得する学習効果情報取得ステップと、ユーザ識別情報に関連付けられている取得した外部情報と、学習履歴情報と、学習効果情報と、同じユーザ識別情報に関連付けられている分析ルールとに基づいて学習状況情報を取得する学習状況情報分析取得ステップと、取得した学習状況情報と保持されているユーザ別対話情報選択ルールと、に基づいてそのユーザごとの特性に即した対話形式の対話情報を学習対話情報蓄積部から選択する学習対話情報選択ステップと、選択した対話情報をユーザ識別情報で識別されるユーザに対して前記ＳＮＳを介して出力するための学習対話情報出力ステップと、からなる対話式学習促進システムの動作方法を提供する。 Next, as a twenty-ninth invention, a learning user identification information holding unit that holds user identification information identifying a user who uses the SNS and the learning system, external information in association with the user identification information, and learning history information A learning analysis rule holding unit which holds learning analysis rules which are rules for analyzing learning effect information and acquiring learning situation information from the viewpoint of grasping the learning situation;
A learning dialogue information storage unit storing dialogue information to be transmitted according to learning situation information acquired in association with user identification information, and user identification information for selecting dialogue information accumulated based on the acquired learning situation information An operation method of an interactive health promotion system, comprising: a learning user classified dialogue information selection rule holding unit holding a user classified dialogue information selection rule which is an associated rule, which is used by a user in association with user identification information The SNS user related information acquisition step of acquiring SNS user related information that is user related information including the speech of the SNS user as external information, and the learning system performed from the learning system used by the user in association with the user identification information A learning history information acquisition step of acquiring learning history information which is information indicating a history of learned learning; The learning effect information acquiring step for acquiring learning effect information which is information indicating the effect of learning performed in the learning system from the learning system used by the user in association with the user identification information, and is associated with the user identification information Learning situation information analysis acquisition step of acquiring learning situation information based on acquired external information, learning history information, learning effect information, and analysis rules associated with the same user identification information, and acquired learning situation information Learning dialogue information selecting step for selecting from the learning dialogue information storage unit a dialogue type dialogue information in accordance with the characteristics of each user based on the user-specific dialogue information selection rule held and the selected dialogue information A learning dialogue information output step for outputting to the user identified by the user identification information via the SNS; To provide a method of operating the interactive learning promotion system.
　次に、第二十一の発明として、ＳＮＳ及び学習システムを利用するユーザを識別するユーザ識別情報を保持する学習ユーザ識別情報保持部と、ユーザ識別情報と関連付けて外部情報と、学習履歴情報と、学習効果情報と、を学習状況の把握の観点で分析して学習状況情報を取得するためのルールである学習分析ルールを保持する学習分析ルール保持部と、ユーザ識別情報に関連づけて取得した学習状況情報に応じて発信すべき対話情報を蓄積した学習対話情報蓄積部と、取得した学習状況情報に基づいて蓄積されている対話情報を選択するユーザ識別情報に関連付けられたルールであるユーザ別対話情報選択ルールを保持する学習ユーザ別対話情報選択ルール保持部と、を有する対話式健康促進システムの動作プログラムであって、ユーザ識別情報と関連付けてユーザが利用するＳＮＳのユーザの発言を含むユーザ関連情報であるＳＮＳユーザ関連情報を外部情報として取得する学習ＳＮＳユーザ関連情報取得ステップと、ユーザ識別情報と関連付けてユーザが利用する学習システムからその学習システムで行われた学習の履歴を示す情報である学習履歴情報を取得する学習履歴情報取得ステップと、ユーザ識別情報と関連付けてユーザが利用する学習システムからその学習システムで行われた学習の効果を示す情報である学習効果情報を取得する学習効果情報取得ステップと、ユーザ識別情報に関連付けられている取得した外部情報と、学習履歴情報と、学習効果情報と、同じユーザ識別情報に関連付けられている分析ルールとに基づいて学習状況情報を取得する学習状況情報分析取得ステップと、取得した学習状況情報と保持されているユーザ別対話情報選択ルールと、に基づいてそのユーザごとの特性に即した対話形式の対話情報を学習対話情報蓄積部から選択する学習対話情報選択ステップと、選択した対話情報をユーザ識別情報で識別されるユーザに対して前記ＳＮＳを介して出力するための学習対話情報出力ステップと、からなる対話式学習促進システムの動作プログラムを提供する。 Next, as a twenty-first aspect of the invention, there is provided a learning user identification information holding unit for holding user identification information for identifying a user who uses an SNS and a learning system, external information in association with user identification information, and learning history information Learning effect information and the learning analysis rule holding unit that holds learning analysis rules that are rules for analyzing learning status information from the viewpoint of grasping the learning status, and learning acquired in association with user identification information A dialog for each user, which is a rule associated with the learning dialog information storage unit storing the dialog information to be transmitted according to the status information, and the user identification information for selecting the dialog information stored based on the acquired learning status information An operation program of an interactive health promotion system, comprising: a learning user-by-learning user dialogue information selection rule holding unit holding an information selection rule, the user being a user A learning SNS user related information acquisition step for acquiring SNS user related information that is user related information including the speech of the SNS user used by the user in association with the separate information as external information, and the user uses it in association with the user identification information The learning history information acquisition step for acquiring learning history information which is information indicating the learning history performed in the learning system from the learning system, and the learning system performed from the learning system used by the user in association with the user identification information Learning effect information acquiring step for acquiring learning effect information which is information indicating the effect of learning, acquired external information associated with user identification information, learning history information, learning effect information, and the same user identification information Learning situation information that acquires learning situation information based on analysis rules associated with The learning dialogue that selects the dialogue-type dialogue information according to the characteristics of each user based on the analysis acquisition step, the acquired learning situation information and the held dialogue information selection rule for each user from the learning dialogue information storage unit Providing an operation program of an interactive learning promotion system comprising an information selection step and a learning interaction information output step for outputting the selected interaction information to the user identified by the user identification information through the SNS. .
　次に、第二十二の発明として、ＳＮＳを利用し、特定商品の購買履歴を有するユーザを識別するユーザ識別情報を保持する第一購買ユーザ識別情報保持部と、ユーザ識別情報と関連付けてユーザが利用するＳＮＳのユーザの発言を含むユーザ関連情報であるＳＮＳユーザ関連情報を外部情報として取得する第一購買ＳＮＳユーザ関連情報取得部と、ユーザ識別情報と関連付けてユーザの前記特定商品の購買履歴を示す情報である購買履歴情報を取得する第一購買履歴情報取得部と、ユーザ識別情報と関連付けてユーザが接した可能性がある前記特定商品の宣伝広告の発信履歴である宣伝広告発信履歴情報を取得する第一購買宣伝広告発信履歴情報取得部と、ユーザ識別情報と関連付けて外部情報と、購買履歴情報と、宣伝広告発信履歴情報と、を前記特定商品の購入状況の把握の観点で分析して購入状況情報を取得するためのルールである第一購買分析ルールを保持する第一購買分析ルール保持部と、ユーザ識別情報に関連付けられている取得した外部情報と、購買履歴情報と、宣伝広告発信履歴情報と、同じユーザ識別情報に関連付けられている第一購買分析ルールとに基づいて購入状況情報を取得する第一購買購入状況情報分析取得部と、ユーザ識別情報に関連づけて取得した購入状況情報に応じて発信すべき対話情報を蓄積した第一購買対話情報蓄積部と、取得した購入状況情報に基づいて蓄積されている対話情報を選択するユーザ識別情報に関連付けられたルールであるユーザ別対話情報選択ルールを保持する第一購買ユーザ別対話情報選択ルール保持部と、取得した購入状況情報と保持されているユーザ別対話情報選択ルールと、に基づいてそのユーザごとの特性に即した対話形式の対話情報を第一購買対話情報蓄積部から選択する第一購買対話情報選択部と、選択した対話情報をユーザ識別情報で識別されるユーザに対して前記ＳＮＳを介して出力するための第一購買対話情報出力部と、を有する対話式購入促進システムを提供する。 Next, as a 22nd invention, a first purchasing user identification information holding unit that holds user identification information identifying a user who has a purchase history of a specific product using an SNS, and a user in association with the user identification information The first purchasing SNS user related information acquisition unit that acquires SNS user related information that is user related information including the remarks of the SNS user that the user uses as the external information, and the user's purchase history of the specific item The first purchase history information acquisition unit that acquires purchase history information that is information indicating the advertisement information, and the advertisement transmission history information that is the transmission history of the advertisement of the particular product that the user may have touched in association with the user identification information The first purchase advertisement advertisement transmission history information acquiring unit for acquiring the external information, the purchase history information and the advertisement advertisement transmission history information in association with the user identification information , And a first purchase analysis rule holding unit that holds a first purchase analysis rule that is a rule for acquiring purchase status information by analyzing the purchase status of the specific product from the viewpoint of grasping the purchase status, and is associated with user identification information The first purchase purchase status information for acquiring purchase status information based on acquired external information, purchase history information, advertising advertisement transmission history information, and first purchase analysis rules associated with the same user identification information An analysis acquisition unit, a first purchase dialogue information storage unit storing dialogue information to be transmitted according to purchase status information acquired in association with user identification information, and dialogue information accumulated based on the acquired purchase status information The first purchase user-by-user dialog information selection rule holding unit that holds the user-by-user dialog information selection rule that is the rule associated with the user identification information for selecting A first purchase dialogue information selection unit for selecting from the first purchase dialogue information storage unit the dialogue-type dialogue information according to the characteristics of each user based on the situation information and the held user dialogue information selection rule; An interactive purchase promotion system comprising: a first purchase interaction information output unit for outputting selected interaction information to a user identified by user identification information via the SNS.
　次に、第二十三の発明として、ＳＮＳを利用し、特定商品の購買履歴を有するユーザを識別するユーザ識別情報を保持する第二購買ユーザ識別情報保持部と、ユーザ識別情報と関連付けてユーザが利用するＳＮＳのユーザの発言を含むユーザ関連情報であるＳＮＳユーザ関連情報を外部情報として取得する第二購買ＳＮＳユーザ関連情報取得部と、ユーザ識別情報と関連付けてユーザの前記特定商品の購買履歴を示す情報である購買履歴情報を取得する第二購買履歴情報取得部と、ユーザ識別情報と関連付けてユーザが接した可能性がある前記特定商品の宣伝広告の発信履歴である宣伝広告発信履歴情報を取得する第二購買宣伝広告発信履歴情報取得部と、ユーザ識別情報と関連付けてユーザの行動又は／及びライフログを示す情報である行動・ライフログ情報を取得する第二購買行動・ライフログ情報取得部と、ユーザ識別情報と関連付けて外部情報と、購買履歴情報と、宣伝広告発信履歴情報と、行動・ライフログ情報と、を前記特定商品の購入状況の把握の観点で分析して購入状況情報を取得するためのルールである第二購買分析ルールを保持する第二購買分析ルール保持部と、ユーザ識別情報に関連付けられている取得した外部情報と、購買履歴情報と、宣伝広告発信履歴情報と、行動・ライフログ情報と、同じユーザ識別情報に関連付けられている第二購買分析ルールとに基づいて購入状況情報を取得する第二購買購入状況情報分析取得部と、ユーザ識別情報に関連づけて取得した購入状況情報に応じて発信すべき対話情報を蓄積した第二購買対話情報蓄積部と、取得した購入状況情報に基づいて蓄積されている対話情報を選択するユーザ識別情報に関連付けられたルールであるユーザ別対話情報選択ルールを保持する第二購買ユーザ別対話情報選択ルール保持部と、取得した購入状況情報と保持されているユーザ別対話情報選択ルールと、に基づいてそのユーザごとの特性に即した対話形式の対話情報を第二購買対話情報蓄積部から選択する第二購買対話情報選択部と、選択した対話情報をユーザ識別情報で識別されるユーザに対して前記ＳＮＳを介して出力するための第二購買対話情報出力部と、を有する対話式購入促進システムを提供する。 Next, as the twenty-third invention, a second purchasing user identification information holding unit that holds user identification information identifying a user having a purchase history of a specific product using an SNS, and a user in association with the user identification information A second purchasing SNS user related information acquiring unit that acquires SNS user related information that is user related information including a statement of the user of the SNS used by the user as the external information, and a purchase history of the specific product of the user A second purchase history information acquisition unit that acquires purchase history information that is information indicating the advertisement information, and advertisement advertisement transmission history information that is a transmission history of advertisement of the particular product that may be in contact with the user identification information A second purchase advertising advertisement transmission history information acquiring unit for acquiring the information, and information indicating user behavior or / and a life log in association with user identification information The second purchasing behavior / life log information acquisition unit for acquiring motion / life log information, external information in association with user identification information, purchasing history information, advertising / advertising dispatch history information, behavior / life log information A second purchase analysis rule holding unit that holds a second purchase analysis rule that is a rule for analyzing and acquiring purchase status information from the viewpoint of grasping the purchase status of the specific product is associated with user identification information The purchase status information is acquired based on the acquired external information, purchase history information, advertisement advertisement transmission history information, behavior / life log information, and a second purchase analysis rule associated with the same user identification information. (Ii) purchase and purchase status information analysis and acquisition unit; and second purchase interaction information storage unit storing dialogue information to be transmitted according to purchase status information acquired in association with user identification information; A second purchase user-by-purchase dialog information selection rule holding unit that holds a user-by-user dialog information selection rule that is a rule associated with user identification information that selects interaction information accumulated based on the purchased purchase status information; A second purchase dialogue information selection unit which selects dialogue-type dialogue information conforming to the characteristics of each user based on the purchase situation information and the user dialogue information selection rule held, from the second purchase dialogue information storage unit And a second purchase interaction information output unit for outputting the selected interaction information to the user identified by the user identification information through the SNS.
　次に、第二十四の発明として、出力された対話情報に対して取得された購入状況情報に基づいて対話情報が有効であったか判断するルールである購買有効性判断ルールを保持する購買有効性判断ルール保持部と、出力された対話情報とこの対話情報に対して取得された購入状況情報と、購買有効性判断ルールとに基づいて対話情報の有効性を判断する購買対話情報有効性判断部と、をさらに有する第二十二の発明又は第二十三の発明に記載の対話式購入促進システムを提供する。 Next, as a twenty-fourth invention, purchase validity holding rule is a rule for judging whether the dialogue information is valid based on the purchase situation information acquired for the outputted dialogue information. Purchase dialogue information validity judgment unit that judges the validity of the dialogue information based on the judgment rule holding unit, the outputted dialogue information, the purchase status information acquired for the dialogue information, and the purchase validity judgment rule And the interactive purchase promotion system according to the twenty-second invention or the twenty-third invention.
　次に、第二十五の発明として、前記購買対話情報有効性判断部は、複数のユーザの対話情報の有効性を母集団に対して一部は共通のユーザ属性ごとに統計処理するルールである購買有効性統計処理ルールを保持する購買有効性統計処理ルール保持手段と、複数のユーザの対話情報と、保持されている購買有効性統計処理ルールとに基づいて、統計的に対話情報の有効性を少なくとも母集団に対して一部は共通のユーザ属性ごとに判断した購買統計的対話情報有効性情報を取得する購買統計的対話情報有効性情報取得手段と、を有する第二十四の発明に記載の対話式購入促進システムを提供する。 Next, as a twenty-fifth aspect of the present invention, the purchase dialogue information validity judgment unit is a rule for performing statistical processing on the validity of dialogue information of a plurality of users for each common user attribute with respect to a population. Based on purchase effectiveness statistical processing rule holding means for holding a certain purchase effectiveness statistical processing rule, interaction information of a plurality of users, and the held purchase effectiveness statistical processing rules, the interaction information is statistically effective Purchasing statistical dialogue information validity information acquiring means for acquiring purchasing statistical dialogue information validity information determined at least in part with respect to a population for each common user attribute; Provide an interactive purchase promotion system as described in
　次に、第二十六の発明として、購買対話情報有効性判断部での判断結果に基づいて（第一でも第二でもよい）購買ユーザ別対話情報選択ルール保持部に保持されているユーザ別対話情報選択ルールを更新するユーザ別対話情報選択ルール更新部をさらに有する第二十四の発明又は第二十五の発明に記載の対話式購入促進システムを提供する。 Next, as a twenty-sixth aspect of the invention, the user-by-purchasing user interaction information selection rule holding unit (based on the judgment result of the purchase interaction information validity judgment unit (first or second) may be used) The interactive purchase promotion system according to the twenty-fourth invention or the twenty-fifth invention, further comprising a user-specific dialogue information selection rule updating unit that updates the dialogue information selection rule.
　次に、第二十七の発明として、取得した購買統計的対話情報有効性情報に基づい（第一でも第二でもよい）購買てユーザ別対話情報選択ルール保持部に保持されているユーザ別対話情報選択ルールを更新する購買統計的ユーザ別対話情報選択ルール更新部をさらに有する請求項２５又は請求項２５に従属する第二十六の発明に記載の対話式購入促進システムを提供する。 Next, as a twenty-seventh invention, the user-specific dialogue is purchased based on the acquired purchase statistical dialogue information validity information (may be first or second) and held in the user-specific dialogue information selection rule holding unit The interactive purchase promotion system according to the twenty-sixth invention subordinate to claim 25 or claim 25 is provided, further comprising a purchase statistical user-based dialogue information selection rule updater for updating the information selection rule.
　次に、第二十八の発明として、ＳＮＳを利用し、特定商品の購買履歴を有するユーザを識別するユーザ識別情報を保持する購買ユーザ識別情報保持部と、ユーザ識別情報と関連付けてユーザが利用するＳＮＳのユーザの発言を含むユーザ関連情報であるＳＮＳユーザ関連情報を外部情報として取得する購買ＳＮＳユーザ関連情報取得部と、ユーザ識別情報と関連付けて外部情報と、購買履歴情報と、宣伝広告発信履歴情報と、を前記特定商品の購入状況の把握の観点で分析して購入状況情報を取得するためのルールである購買分析ルールを保持する購買分析ルール保持部と、ユーザ識別情報に関連づけて取得した購入状況情報に応じて発信すべき対話情報を蓄積した購買対話情報蓄積部と、取得した購入状況情報に基づいて蓄積されている対話情報を選択するユーザ識別情報に関連付けられたルールである購買ユーザ別対話情報選択ルールを保持する購買ユーザ別対話情報選択ルール保持部と、を有する対話式購入促進システムの動作方法であって、ユーザ識別情報と関連付けてユーザの前記特定商品の購買履歴を示す情報である購買履歴情報を取得する購買履歴情報取得ステップと、ユーザ識別情報と関連付けてユーザが接した可能性がある前記特定商品の宣伝広告の発信履歴である宣伝広告発信履歴情報を取得する購買宣伝広告発信履歴情報取得スッテプと、ユーザ識別情報に関連付けられている取得した外部情報と、購買履歴情報と、宣伝広告発信履歴情報と、同じユーザ識別情報に関連付けられている購買分析ルールとに基づいて購入状況情報を取得する購買購入状況情報分析取得ステップと、取得した購入状況情報と保持されている購買ユーザ別対話情報選択ルールと、に基づいてそのユーザごとの特性に即した対話形式の対話情報を購買対話情報蓄積部から選択する購買対話情報選択ステップと、選択した対話情報をユーザ識別情報で識別されるユーザに対して前記ＳＮＳを介して出力するための購買対話情報出力ステップと、からなる対話式購入促進システム動作方法を提供する。 Next, as the invention of the twenty-eighth aspect, a purchasing user identification information holding unit that holds user identification information that identifies a user having a purchase history of a specific product using an SNS, and the user identification information in association with the user identification information The purchase SNS user related information acquisition unit that acquires SNS user related information that is user related information including the remark of the SNS user who is SNS user as external information, external information in association with user identification information, purchase history information, advertisement advertisement dispatch Purchase analysis rule holding unit that holds purchase analysis rules that are rules for acquiring history information by analyzing history information from the viewpoint of grasping the purchase status of the specific product, and acquiring it in association with user identification information It is accumulated based on the purchase dialogue information accumulation unit which accumulated dialogue information to be transmitted according to the purchased purchase situation information, and the acquired purchase situation information An operating method of the interactive purchase promotion system including a purchase user-by-purchase dialog information selection rule holding unit that holds a purchase user-by-purchase dialog information selection rule which is a rule associated with user identification information for selecting story information; A purchase history information acquiring step of acquiring purchase history information which is information indicating a purchase history of the specific product of the user in association with user identification information, and the specific product which may be in contact with the user identification information in association with the user identification information Purchase advertisement advertisement transmission history information acquisition step that acquires advertisement advertisement transmission history information that is advertisement advertisement sales history, acquired external information associated with user identification information, purchase history information, advertisement advertisement transmission history information, Purchase purchase status information for acquiring purchase status information based on purchase analysis rules associated with the same user identification information Based on the analysis acquisition step, the acquired purchase situation information and the purchase user-by-purchase dialogue information selection rule held, purchase is made from the purchase dialogue information storage unit for selecting dialogue-type dialogue information according to the characteristics of each user An interactive purchase promotion system operation method comprising: an interactive information selection step; and a purchase interactive information output step for outputting selected interactive information to a user identified by user identification information via the SNS. .
　次に、第二十九の発明として、ＳＮＳを利用し、特定商品の購買履歴を有するユーザを識別するユーザ識別情報を保持する購買ユーザ識別情報保持部と、ユーザ識別情報と関連付けてユーザが利用するＳＮＳのユーザの発言を含むユーザ関連情報であるＳＮＳユーザ関連情報を外部情報として取得する購買ＳＮＳユーザ関連情報取得部と、ユーザ識別情報と関連付けて外部情報と、購買履歴情報と、宣伝広告発信履歴情報と、を前記特定商品の購入状況の把握の観点で分析して購入状況情報を取得するためのルールである購買分析ルールを保持する購買分析ルール保持部と、ユーザ識別情報に関連づけて取得した購入状況情報に応じて発信すべき対話情報を蓄積した購買対話情報蓄積部と、取得した購入状況情報に基づいて蓄積されている対話情報を選択するユーザ識別情報に関連付けられたルールである購買ユーザ別対話情報選択ルールを保持する購買ユーザ別対話情報選択ルール保持部と、を有する対話式購入促進システムの動作プログラムであって、ユーザ識別情報と関連付けてユーザの前記特定商品の購買履歴を示す情報である購買履歴情報を取得する購買履歴情報取得ステップと、ユーザ識別情報と関連付けてユーザが接した可能性がある前記特定商品の宣伝広告の発信履歴である宣伝広告発信履歴情報を取得する購買宣伝広告発信履歴情報取得スッテプと、ユーザ識別情報に関連付けられている取得した外部情報と、購買履歴情報と、宣伝広告発信履歴情報と、同じユーザ識別情報に関連付けられている購買分析ルールとに基づいて購入状況情報を取得する購買購入状況情報分析取得ステップと、取得した購入状況情報と保持されている購買ユーザ別対話情報選択ルールと、に基づいてそのユーザごとの特性に即した対話形式の対話情報を購買対話情報蓄積部から選択する購買対話情報選択ステップと、選択した対話情報をユーザ識別情報で識別されるユーザに対して前記ＳＮＳを介して出力するための購買対話情報出力ステップと、
　からなる対話式購入促進システム動作プログラムを提供する。 Next, as the invention of the twenty-ninth aspect, a purchasing user identification information holding unit that holds user identification information that identifies a user who has a purchase history of a specific product using an SNS, and the user identification information in association with the user identification information The purchase SNS user related information acquisition unit that acquires SNS user related information that is user related information including the remark of the SNS user who is SNS user as external information, external information in association with user identification information, purchase history information, advertisement advertisement dispatch Purchase analysis rule holding unit that holds purchase analysis rules that are rules for acquiring history information by analyzing history information from the viewpoint of grasping the purchase status of the specific product, and acquiring it in association with user identification information A purchase dialogue information storage unit storing dialogue information to be transmitted according to the purchased purchase situation information, and a pair stored based on the acquired purchase situation information An operating program for an interactive purchase promotion system, comprising: a purchase user-by-purchase dialog information selection rule holding unit holding a purchase user-by-purchase dialog information selection rule which is a rule associated with user identification information for selecting information; A purchase history information acquiring step of acquiring purchase history information which is information indicating a purchase history of the specific product of the user in association with identification information, and promotion of the specific product which may be in contact with the user identification information in association with the user identification information Purchase advertisement advertisement transmission history information acquisition step which acquires advertisement advertisement transmission history information which is advertisement transmission history, acquired external information associated with user identification information, purchase history information, advertisement advertisement transmission history information, Purchase purchase note that acquires purchase status information based on purchase analysis rules associated with the same user identification information Based on the information analysis acquisition step, the acquired purchase situation information and the purchase user-by-purchase dialogue information selection rule, dialogue-type dialogue information conforming to the characteristics of each user is selected from the purchase dialogue information storage unit A purchase dialogue information selection step, and a purchase dialogue information output step for outputting the selected dialogue information to the user identified by the user identification information through the SNS;
An interactive purchase promotion system operating program comprising:
　次に、第三十の発明として、特定商品の購買履歴を有するユーザに代えて、特定商品の宣伝広告発信履歴情報を有するユーザとした、請求項２２から請求項２７に記載の対話式購入促進システムを提供する。 The interactive purchase promotion according to any of claims 22 to 27, wherein, as a thirty-second invention, the user having the advertisement transmission history information of the specific product instead of the user having the purchase history of the specific product. Provide a system.
　次に、第三十一の発明として、出力された対話情報に対する応答対話情報を取得する学習応答対話情報取得部と、出力された対話情報に対して取得された応答対話情報が有効であったか判断するルールである学習応答有効性判断ルールを保持する学習応答有効性判断ルール保持部と、出力された対話情報とこの対話情報に対して取得された応答対話情報と、学習応答有効性判断ルールとに基づいて対話情報の有効性を判断する学習応答対話情報有効性判断部と、をさらに有する第十二の発明から第十六の発明に記載の対話式学習促進システムを提供する。 Next, as a thirty-first invention, it is determined whether a learning response dialogue information acquiring unit for acquiring response dialogue information for the outputted dialogue information, and whether the acquired response dialogue information for the outputted dialogue information is valid A learning response validity determination rule holding unit that holds a learning response validity determination rule, which is a rule, the output dialogue information, the response dialogue information acquired for the dialogue information, the learning response validity determination rule, An interactive learning promotion system according to any of the twelfth invention through the sixteenth invention, further comprising: a learning response dialogue information validity judging unit which judges the effectiveness of the dialogue information based on the above.
　次に、第三十二の発明として、出力された対話情報に対する応答対話情報を取得する学習応答対話情報取得部と、出力された対話情報に対して取得された応答対話情報が有効であったか判断するルールである学習応答有効性判断ルールを保持する学習応答有効性判断ルール保持部と、出力された対話情報とこの対話情報に対して取得された応答対話情報と、学習応答有効性判断ルールとに基づいて対話情報の有効性を判断する学習応答対話情報有効性判断部とを有するとともに、
　前記学習応答対話情報有効性判断部は、複数のユーザの対話情報の有効性を母集団に対して一部は共通のユーザ属性ごとに統計処理するルールである学習応答有効性統計処理ルールを保持する学習応答有効性統計処理ルール保持手段と、複数のユーザの対話情報と、保持されている学習応答有効性統計処理ルールとに基づいて、統計的に対話情報の有効性を少なくとも母集団に対して一部は共通のユーザ属性ごとに判断した学習応答統計的対話情報有効性情報を取得する学習応答統計的対話情報有効性情報取得手段と、をさらに有する第十二の発明から第十六の発明に記載の対話式学習促進システムを提供する。 Next, as a thirty-second invention, a learning response dialogue information acquiring unit for acquiring response dialogue information for the outputted dialogue information, and determining whether the response dialogue information acquired for the outputted dialogue information is valid A learning response validity determination rule holding unit that holds a learning response validity determination rule, which is a rule, the output dialogue information, the response dialogue information acquired for the dialogue information, the learning response validity determination rule, And a learning response dialogue information validity judgment unit that judges the validity of the dialogue information based on
The learning response dialogue information validity judging unit holds learning response validity statistical processing rules, which are rules for performing statistical processing of the effectiveness of dialogue information of a plurality of users for each common user attribute with respect to a population Based on the learning response effectiveness statistical processing rule holding means, interaction information of a plurality of users, and the held learning response effective statistical processing rules, the effectiveness of the interactive information is statistically applied to at least the population. A learning response statistical dialogue information validity information acquiring means for acquiring learning response statistical dialogue information validity information determined in part for each common user attribute; An interactive learning promotion system according to the invention is provided.
　次に、第三十三の発明として、学習応答対話情報有効性判断部での判断結果に基づいて（第一から第三のいずれでもよい）学習ユーザ別対話情報選択ルール保持部に保持されているユーザ別対話情報選択ルールを更新する学習応答ユーザ別対話情報選択ルール更新部をさらに有する第三十一の発明又は第三十二の発明に記載の対話式学習促進システムを提供する。 Next, as a thirty-third invention, based on the judgment result of the learning response dialogue information validity judgment unit (which may be any of first to third) held by the learning user classified dialogue information selection rule holding unit The interactive learning promotion system according to the thirty-first invention or the thirty-second invention, further comprising a learning response per-user dialogue information selection rule updating unit for updating the per-user dialogue information selection rule.
　次に、第三十四の発明として、取得した学習応答統計的対話情報有効性情報に基づいて（第一から第三のいずれでもよい）学習ユーザ別対話情報選択ルール保持部に保持されているユーザ別対話情報選択ルールを更新する学習応答統計的ユーザ別対話情報選択ルール更新部をさらに有する第三十二の発明又は第三十二の発明に従属する第三十三の発明に記載の対話式学習促進システム。 Next, as a thirty-fourth invention, based on the acquired learning response statistical dialogue information validity information (which may be any of the first to third) is held in a learning user classified dialogue information selection rule holding unit Dialog according to the thirty-second invention or the thirty-third invention according to the thirty-second invention, further comprising a learning response statistical user-specific dialog information selection rule updating unit for updating the user-specific dialog information selection rule Expression learning promotion system.
　次に、第三十五の発明として、出力された対話情報に対する応答対話情報を取得する購買応答対話情報取得部と、出力された対話情報に対して取得された応答対話情報が有効であったか判断するルールである購買応答有効性判断ルールを保持する購買応答有効性判断ルール保持部と、出力された対話情報とこの対話情報に対して取得された応答対話情報と、購買応答有効性判断ルールとに基づいて対話情報の有効性を判断する購買応答対話情報有効性判断部と、をさらに有する第二十二の発明から第二十四の発明に記載の対話式購入促進システムを提供する。 Next, as a thirty-fifth invention, it is determined whether a purchase response dialogue information acquisition unit for acquiring response dialogue information for the outputted dialogue information, and response dialogue information acquired for the outputted dialogue information is valid. A purchase response validity judgment rule holding unit that holds purchase response validity judgment rules, which are rules to be output, interaction information output, response interaction information acquired for the interaction information, purchase response validity judgment rules, The interactive purchase promotion system according to the twenty-second invention to the twenty-fourth invention, further comprising a purchase response dialogue information validity judgment unit which judges the validity of the dialogue information based on the above.
　次に、第三十六の発明として、出力された対話情報に対する応答対話情報を取得する購買応答対話情報取得部と、出力された対話情報に対して取得された応答対話情報が有効であったか判断するルールである購買応答有効性判断ルールを保持する購買応答有効性判断ルール保持部と、出力された対話情報とこの対話情報に対して取得された応答対話情報と、購買応答有効性判断ルールとに基づいて対話情報の有効性を判断する購買応答対話情報有効性判断部とを有するとともに、前記購買応答対話情報有効性判断部は、複数のユーザの対話情報の有効性を母集団に対して一部は共通のユーザ属性ごとに統計処理するルールである購買応答有効性統計処理ルールを保持する購買応答有効性統計処理ルール保持手段と、
　複数のユーザの対話情報と、保持されている購買応答有効性統計処理ルールとに基づいて、統計的に対話情報の有効性を少なくとも母集団に対して一部は共通のユーザ属性ごとに判断した購買応答統計的対話情報有効性情報を取得する購買応答統計的対話情報有効性情報取得手段と、をさらに有する第二十二の発明から第二十四の発明に記載の対話式購入促進システムを提供する。 Next, as a thirty-sixth invention, it is determined whether a purchase response dialogue information acquisition unit for acquiring response dialogue information for the outputted dialogue information and whether the response dialogue information acquired for the outputted dialogue information is valid A purchase response validity judgment rule holding unit that holds purchase response validity judgment rules, which are rules to be output, interaction information output, response interaction information acquired for the interaction information, purchase response validity judgment rules, The purchase response dialogue information validity judgment unit determines the effectiveness of the dialogue information based on the above, and the purchase response dialogue information validity judgment unit determines the validity of the dialogue information of a plurality of users with respect to the population. Purchase response validity statistical processing rule holding means for holding purchase response effectiveness statistical processing rules, which are rules for performing statistical processing partially for each common user attribute,
Based on the interaction information of a plurality of users and the purchase response effectiveness statistical processing rules held, the effectiveness of the interaction information is judged statistically at least partially for each population, for each common user attribute. An interactive purchase promotion system according to the twenty-second invention to the twenty-fourth invention, further comprising: purchase response statistical interaction information availability information acquiring means for acquiring purchase response statistical interaction information validity information; provide.
　次に、第三十七の発明として、購買応答対話情報有効性判断部での判断結果に基づいて（第一でも第二でもよい）購買ユーザ別対話情報選択ルール保持部に保持されているユーザ別対話情報選択ルールを更新する購買応答ユーザ別対話情報選択ルール更新部をさらに有する第三十五の発明又は第三樹六の発明に記載の対話式購入促進システムを提供する。 Next, as a thirty-seventh invention, the user held by the purchase user classified dialogue information selection rule holding unit (first or second may be used) based on the judgment result of the purchase response dialogue information validity judgment unit. The interactive purchase promotion system according to the thirty-fifth invention or the third invention of the invention further has a purchase response user-specific dialogue information selection rule updating unit for updating the separate dialogue information selection rule.
　次に、第三十八の発明として、取得した購買応答統計的対話情報有効性情報に基づいて（第一でも第二でもよい）購買ユーザ別対話情報選択ルール保持部に保持されているユーザ別対話情報選択ルールを更新する購買応答統計的ユーザ別対話情報選択ルール更新部をさらに有する第三十六の発明又は第三十六の発明に従属する第三十七の発明に記載の対話式購入促進システムを提供する。 Next, as a thirty-eighth invention, the user-by-purchasing user interaction information selection rule holding unit (based on the acquired purchase response statistical interaction information validity information (first or second) may be used) The interactive purchase according to the thirty-sixth invention or the thirty-seventh invention according to the thirty-sixth invention further having a purchase response statistical user-specific dialogue information selection rule updating unit updating the dialogue information selection rule Provide a promotion system.
　次に、第三十九の発明として、特定商品の購買履歴を有するユーザに代えて、特定商品の宣伝広告発信履歴を有するユーザとして、第三十五の発明から第三十八の発明に記載の対話式購入促進システムを提供する。 Next, as a 39th invention, instead of a user having a purchase history of a specific product, the user is described in the 35th invention to the 38th invention as a user having an advertisement transmission history of a specific product. Provide an interactive purchase promotion system.
　本発明により、システムの利用者に、システムとのやり取りを通じて人間が努力を反復継続させるうえで欠かせない感情を持続的に抱かせるために、あたかも人間と話しているかのような温かみのある対話を行える対話式システムを提供することができる。 According to the present invention, a warm dialog as if talking with human beings to continuously hold emotions that are essential for human beings to repeat and continue their efforts through interaction with the system. Can provide an interactive system that can
本対話式健康促進システムを利用する状態を示す概念図Conceptual diagram showing the state of using this interactive health promotion system 本対話式健康促進システムの対話情報出力経緯の簡易的概念図A simplified conceptual diagram of the process of outputting dialogue information in this interactive health promotion system 実施形態１の対話式健康促進システムの構成を示す例図The figure which shows the structure of the interactive health promotion system of Embodiment 1 実施形態１の対話式健康促進システムのハードウェア構成例図Hardware configuration of interactive health promotion system according to the first embodiment 実施形態１の対話式健康促進システムの処理の流れを示す例図Illustration showing the flow of processing of the interactive health promotion system of Embodiment 1 実施形態２の対話式健康促進システムの構成を示す例図The figure which shows the structure of the interactive health promotion system of Embodiment 2 実施形態２の対話式健康促進システムのハードウェア構成例図Hardware configuration of interactive health promotion system according to the second embodiment 実施形態２の対話式健康促進システムの処理の流れを示す例図Illustration showing the flow of processing of the interactive health promotion system of Embodiment 2 実施形態３の対話式健康促進システムの構成を示す例図The figure which shows the structure of the interactive health promotion system of Embodiment 3 実施形態３の対話式健康促進システムのハードウェア構成例図Hardware configuration example of the interactive health promotion system of the third embodiment 実施形態３の対話式健康促進システムの処理の流れを示す例図Illustration showing the flow of processing of the interactive health promotion system of the third embodiment 実施形態４の対話式健康促進システムの構成を示す例図The figure which shows the structure of the interactive health promotion system of Embodiment 4 実施形態４の対話式健康促進システムのハードウェア構成例図Hardware configuration of interactive health promotion system according to the fourth embodiment 実施形態４の対話式健康促進システムの処理の流れを示す例図Diagram showing the process flow of the interactive health promotion system of the fourth embodiment 実施形態５の対話式健康促進システムの個性を示す例図Example showing the individuality of the interactive health promotion system of Embodiment 5 実施形態５の対話式健康促進システムのハードウェア構成例図Hardware configuration example of the interactive health promotion system of the fifth embodiment 実施形態５の対話式健康促進システムの処理の流れを示す例図The figure which shows the flow of a process of the interactive health promotion system of Embodiment 5 実施形態６の対話式健康促進システムの構成を示す例図The figure which shows the structure of the interactive health promotion system of Embodiment 6 実施形態６の対話式健康促進システムのハードウェア構成例図Hardware configuration of interactive health promotion system according to the sixth embodiment 実施形態６の対話式健康促進システムの処理の流れを示す例図The figure which shows the flow of a process of the interactive health promotion system of Embodiment 6 実施形態７の対話式健康促進システムの構成を示す例図The figure which shows the structure of the interactive health promotion system of Embodiment 7 実施形態７の統計的対話情報有効性情報の例図Illustration of statistical dialogue information validity information of the seventh embodiment 実施形態７の対話式健康促進システムのハードウェア構成例図Hardware configuration example of the interactive health promotion system of the seventh embodiment 実施形態７の対話式健康促進システムの処理の流れを示す例図The figure which shows the flow of a process of the interactive health promotion system of Embodiment 7 ユーザ別対情報選択ルール更新の簡易的概念図Simple conceptual diagram of user-specific information selection rule update 実施形態８の対話式健康促進システムの構成を示す例図The figure which shows the structure of the interactive health promotion system of Embodiment 8 実施形態８の対話式健康促進システムのＡＩの働きの簡易的概念図The simplified conceptual diagram of the function of AI of the interactive health promotion system of Embodiment 8. 実施形態８の対話式健康促進システムのハードウェア構成例図Hardware configuration example of the interactive health promotion system according to the eighth embodiment 実施形態８の対話式健康促進システムの処理の流れを示す例図The figure which shows the flow of a process of the interactive health promotion system of Embodiment 8 実施形態９の対話式健康促進システムの構成を示す例図The figure which shows the structure of the interactive health promotion system of Embodiment 9 実施形態９の対話式健康促進システムのハードウェア構成例図Hardware configuration example of the interactive health promotion system according to the ninth embodiment 実施形態９の対話式健康促進システムの処理の流れを示す例図The figure which shows the flow of a process of the interactive health promotion system of Embodiment 9 実施形態１０及び実施形態１１の構成の例図Illustration of the configuration of the tenth and eleventh embodiments 本対話式学習促進システムを利用する状態を示す概念図Conceptual diagram showing the state of using this interactive learning promotion system 本対話式学習促進システムの対話情報出力経緯の簡易的概念図A simplified conceptual diagram of the process of outputting dialogue information in this interactive learning promotion system 実施形態１２の対話式学習促進システムの構成を示す例図The figure which shows the structure of the interactive learning promotion system of Embodiment 12 実施形態１２の対話式学習促進システムのハードウェア構成例図Hardware configuration example diagram of the interactive learning promotion system according to the twelfth embodiment 実施形態１２の対話式学習促進システムの処理の流れを示す例図A figure showing the flow of processing of interactive learning promotion system of Embodiment 12 実施形態１３の対話式学習促進システムの構成を示す例図The figure which shows the structure of the interactive learning promotion system of Embodiment 13 実施形態１３の対話式健康促進システムのハードウェア構成例図Hardware configuration example of the interactive health promotion system according to the thirteenth embodiment 実施形態１３の対話式学習促進システムの処理の流れを示す例図The figure which shows the flow of a process of the interactive learning promotion system of Embodiment 13 実施形態１４の対話式学習促進システムの構成を示す例図The figure which shows the structure of the interactive learning promotion system of Embodiment 14 実施形態１４の対話式学習促進システムのハードウェア構成例図Hardware configuration example of interactive learning promotion system according to the fourteenth embodiment 実施形態１４の対話式学習促進システムの処理の流れを示す例図The figure which shows the flow of a process of the interactive learning promotion system of Embodiment 14 実施形態１５の対話式学習促進システムの構成を示す例図The figure which shows the structure of the interactive learning promotion system of Embodiment 15 実施形態１５の対話式学習促進システムのハードウェア構成例図Hardware configuration of the interactive learning promotion system according to the fifteenth embodiment 実施形態１５の対話式学習促進システムの処理の流れを示す例図The figure which shows the flow of a process of the interactive learning promotion system of Embodiment 15 実施形態１７の対話式学習促進システムの構成を示す例図The figure which shows the structure of the interactive learning promotion system of Embodiment 17. 実施形態１７の対話式学習促進システムのハードウェア構成例図Hardware configuration of the interactive learning promotion system according to the seventeenth embodiment 実施形態１７の対話式学習促進システムの処理の流れを示す例図The figure which shows the flow of a process of the interactive learning promotion system of Embodiment 17 実施形態１８の対話式学習促進システムの構成を示す例図The figure which shows the structure of the interactive learning promotion system of Embodiment 18 実施形態１８の対話式健康促進システムのＡＩの働きの簡易的概念図The simplified conceptual diagram of the function of AI of the interactive health promotion system of Embodiment 18 実施形態１８の対話式学習促進システムのハードウェア構成例図Hardware configuration example diagram of the interactive learning promotion system according to the eighteenth embodiment 実施形態１８の対話式学習促進システムの処理の流れを示す例図A figure showing a flow of processing of an interactive learning promotion system of Embodiment 18 実施形態１９の対話式学習促進システムの構成を示す例図The figure which shows the structure of the interactive learning promotion system of Embodiment 19. 実施形態１９の対話式学習促進システムのハードウェア構成例図Hardware configuration example diagram of the interactive learning promotion system according to the nineteenth embodiment 実施形態１９の対話式学習促進システムの処理の流れを示す例図The figure which shows the flow of a process of the interactive learning promotion system of Embodiment 19 本対話式購入促進システムを利用する状態を示す概念図Conceptual diagram showing the state of using this interactive purchase promotion system 本対話式購入促進システムの対話情報出力経緯の簡易的概念図A simplified conceptual diagram of the process of outputting dialogue information in the present interactive purchase promotion system 実施形態２２の対話式購入促進システムの構成を示す例図The figure which shows the structure of the interactive purchase promotion system of Embodiment 22. 実施形態２２の対話式購入促進システムのハードウェア構成例図Hardware configuration of the interactive purchase promotion system according to the twenty-second embodiment 実施形態２２の対話式購入促進システムの処理の流れを示す例図The figure which shows the flow of a process of the interactive purchase promotion system of Embodiment 22 実施化体２３の対話式購入促進システムの構成を示す例図The figure which shows the structure of the interactive purchase promotion system of the implementation body 23 実施形態２３の対話式購入促進システムのハードウェア構成例図Hardware configuration of the interactive purchase promotion system according to the twenty-third embodiment 実施形態２３の対話式購入促進システムの処理の流れを示す例図A figure showing the flow of processing of interactive purchase promotion system of Embodiment 23 実施形態２４の対話式購入促進システムの構成を示す例図The figure which shows the structure of the interactive purchase promotion system of Embodiment 24 実施形態２４の対話式購入促進システムのハードウェア構成例図Hardware configuration example diagram of the interactive purchase promotion system according to the twenty-fourth embodiment 実施形態２４の対話式購入促進システムの処理の流れを示す例図A figure showing the flow of processing of an interactive purchase promotion system of Embodiment 24 実施形態２５の対話式購入促進システムの構成を示す例図The figure which shows the structure of the interactive purchase promotion system of Embodiment 25. 実施形態２５の対話式購入促進システムのハードウェア構成例図Hardware configuration of the interactive purchase promotion system according to the twenty-fifth embodiment 実施形態２５の対話式購入促進システムの処理の流れを示す例図A figure showing the flow of processing of interactive purchase promotion system of Embodiment 25 実施形態２６の対話式購入促進システムの構成を示す例図The figure which shows the structure of the interactive purchase promotion system of Embodiment 26 実施形態２６の対話式健康促進システムのＡＩの働きの簡易的概念図The simplified conceptual diagram of the function of AI of the interactive health promotion system of Embodiment 26 実施形態２６の対話式購入促進システムのハードウェア構成の例図A diagram of a hardware configuration of the interactive purchase promotion system according to the twenty-sixth embodiment 実施形態２７の対話式購入促進システムの処理の流れを示す例図The figure which shows the flow of a process of the interactive purchase promotion system of Embodiment 27 実施形態２７の対話式購入促進システムの構成を示す例図The figure which shows the structure of the interactive purchase promotion system of Embodiment 27 実施形態２７の対話式購入促進システムのハードウェア構成例図Hardware configuration of the interactive purchase promotion system according to the twenty-seventh embodiment 実施形態２７の対話式購入促進システムの処理の流れを示す例図The figure which shows the flow of a process of the interactive purchase promotion system of Embodiment 27 実施形態２０及び実施形態２１の構成の一例を示す図A figure showing an example of composition of Embodiments 20 and 21. 実施形態２８及び実施形態２９の構成の一例を示す図The figure which shows an example of a structure of Embodiment 28 and Embodiment 29.
　以下、本発明の実施の形態について、添付図面を用いて説明する。実施形態Ｎは請求項Ｎに対応する。但し、Ｎは１から３９である。なお、本発明はこれら実施形態に何ら限定されるべきものではなく、その要旨を逸脱しない範囲において、種々なる態様で実施し得る。 Hereinafter, embodiments of the present invention will be described with reference to the attached drawings. Embodiment N corresponds to claim N. However, N is 1 to 39. The present invention should not be limited to these embodiments at all, and can be implemented in various modes without departing from the scope of the invention.
＜実施形態１＞
＜実施形態１　発明の概要＞
　本実施形態における対話式健康促進システムは、ＳＮＳでのユーザの発言情報や閲覧情報などを外部情報として取得して、その情報を分析することでユーザの健康状態（肉体的健康及び精神的健康）を取得し、ユーザの現在の健康状態にあったアドバイスを行う。
　図１は、対話式健康促進システムと各種のＳＮＳサービスとユーザの関係を示すイメージ概念図である。ＳＮＳを利用しているＡ（０１０２ａ）、Ｂ（０１０２ｂ）、Ｃ（０１０２ｃ）、Ｄ（０１０２ｄ）、Ｅ（０１０２ｅ）は、ＳＮＳ１（０１０３）、ＳＮＳ２（０１０４）、ＳＮＳ３（０１０５）といったＳＮＳシステムを利用して、交流している。このとき、例えばＡが対話式健康促進システム（０１０１）を利用する場合、ＡはＡが日常的に利用しているＳＮＳ１を介して対話式健康促進システムと対話を行う。例えば、Ｂが対話式健康促進システムを利用する場合、ＢはＢが普段利用しているＳＮＳ２又はＳＮＳ３を選択して対話式健康促進システムとの対話を行う。図２は、対話式健康促進システムがあるユーザに対して健康促進アドバイスを行う際のイメージ概念図である。対話式健康促進システムは（０２０１）、対話式健康促進システムに登録したユーザ（０２０２）が、日常的にＳＮＳ等を利用して発信している会話情報（「おはよう」「今日はまだ眠いよ」「最近外食が続いてるなぁ」「今日の予定は、外回りΣ(￣ロ￣lll)」「今日は、結構涼しい！」「最近少し体が重いんだけど。。。太ったかも(;´Д`)」等）や閲覧している第三者の発信に関する情報（赤ちゃんパンダに関連するＳＮＳの発言に「いいね」の応答をしている、美術館の展示スケジュールに関するＳＮＳの発信を受信するように設定している、等）などの、ユーザ固有のＳＮＳ関連情報（０２０３）を自動的に取得（０２０４）する。取得したＳＮＳ関連情報を肉体的健康及び精神的健康の両方の面から分析（０２０５）することで、ユーザの現在の健康状況（０２０６）を取得する。対話式健康促進システムは、取得したユーザの現在の健康状況から、背景目的を決定して目的達成のための適切な対話情報を判断する。例えば、ユーザに有酸素運動をさせることを背景目的として決定した場合には、目的達成のための適切な対話情報として、「おはようございます。少し疲れが溜まっています。気分転換に公園を散歩しましょう。今日のお勧めは、上野公園です。」のように、システマティックな表現ではなく、「~~~ヾ(＾∇＾)おはよー♪　今日は疲れがたまってる？気分転換に公園でも早歩きしにいかない！？今日のおすすめは上野公園！！美術館とか超可愛い赤ちゃんパンダが見れるよ(^_-)-☆」といったように、ＳＮＳを利用してユーザに適した口調で健康促進アドバイス（０２０７）を、ユーザの所有する対話式健康促進システムとの対話を受信する携帯端末（０２０８）、に出力する。 First Embodiment
<Outline of the Invention>
The interactive health promotion system in this embodiment acquires the user's speech information and browsing information in SNS as external information and analyzes the information to obtain the user's health condition (physical health and mental health). Get and give advice that was in the user's current health condition.
FIG. 1 is an image conceptual diagram showing the relationship between an interactive health promotion system, various SNS services, and users. A (0102 a), B (0102 b), C (0102 c), D (0102 d) and E (0102 e) using SNS are SNS systems such as SNS 1 (0103), SNS 2 (0104), SNS 3 (0105) We use and interact. At this time, for example, when A uses the interactive health promotion system (0101), A interacts with the interactive health promotion system via the SNS 1 that A uses regularly. For example, when B uses an interactive health promotion system, B selects SNS2 or SNS3 which B normally uses, and performs a dialogue with an interactive health promotion system. FIG. 2 is an image conceptual diagram when giving health promotion advice to a user who has an interactive health promotion system. Conversational health promotion system (0201), conversation information ("Good morning""Today is still sleepy") that the user (0202) registered in the interactive health promotion system sends out using SNS etc. on a daily basis "Recently eating out continues""Today's plan is around Σ (ロ ̄ ̄ l lll)""Today is pretty cool!""Recently it is a bit heavy .... Maybe fat (; (`) "Etc." and information on the transmission of the third party you are viewing (set to receive the SNS transmission on the museum's exhibition schedule, which responds "Like" to the SNS related to the baby panda) Automatically obtain (0204) user-specific SNS-related information (0203), such as The current health status (0206) of the user is acquired by analyzing (S 0205) the acquired SNS related information from the aspect of both physical health and mental health. The interactive health promotion system determines the background purpose and determines appropriate dialogue information for achieving the purpose from the acquired current health status of the user. For example, if you decide that you want the user to do aerobic exercise as a background purpose, as good dialogue information for achieving the purpose, "Good morning. A little tired. Today's recommendation is “Ueno Park.” It is not a systematic expression, “~~~ ヾ (^ ∇ ^) good morning ♪ I'm getting tired today? Today's recommendation is Ueno Park !! Art museum or super cute baby panda can be seen (^ _-)-☆ ", etc., health promotion advice with the tone suitable for the user using SNS (0207) is output to the portable terminal (0208) that receives the interaction with the interactive health promotion system owned by the user.
　対話式健康促進システムは、第一の特徴として、ユーザのＳＮＳでの発言等の外部情報を用いている。次に、第二の特徴として、取得した外部情報をデータとして分析して、単なる数値的な肉体的健康状況情報を取得するのではなく、情報からユーザの「気持ち」を分析して、肉体的な健康状況情報に加えて精神的な健康状況情報も取得し、肉体的健康と精神的健康の両方を考慮した「現在の健康状態」を分析取得している。さらに、第三の特徴として、分析取得した「現在の健康状態」から最適なアドバイスの内容を選択して、ユーザが普段から使用している口調に併せて最適な口調を用いて選択したアドバイス内容を出力する。 The interactive health promotion system uses, as a first feature, external information such as the user's speech on the SNS. Next, as a second feature, the acquired external information is analyzed as data, and the user's "feeling" is analyzed from the information rather than merely acquiring numerical physical health condition information, and physically In addition to various health status information, mental health status information is also acquired, and "current health status" taking into consideration both physical health and mental health is analyzed and acquired. Furthermore, as the third feature, the content of the optimal advice is selected from the "current health condition" analyzed and acquired, and the advice content selected using the optimal tone according to the tone that the user usually uses Output
＜実施形態１　発明の構成＞
　　図３は、本実施形態１の対話式健康促進システムの構成の一例を示す図である。図３に示すように、実施形態１の対話式健康促進システムは、ユーザ識別情報保持部（０３０１）、ＳＮＳユーザ関連情報取得部（０３０２）、分析ルール保持部（０３０３）、健康状況情報分析取得部（０３０４）、対話情報蓄積部（０３０５）、ユーザ別対話情報選択ルール保持部（０３０６）、対話情報選択部（０３０７）、対話情報出力部（０３０８）と、からなる。なお、本システムは、一つの筐体内にすべての機能部分が収められている必要はなく、また一つのコンピュータやサーバによってのみ構成されるものに限定されない。本システムは複数の筐体に収められて全体で機能するように構成してもよいし、複数のコンピュータやサーバが連携して機能するように構成してもよい。さらに、複数の筐体や複数のコンピュータ、サーバから本システムが構成される場合には、それが国境を越えて設置されることを妨げない。このことは、本システムのみならず、本システムと同等のアイデアを動作方法としたものや、動作プログラムとしたものにも共通である。システムに関するこの概念は本明細書の全体（実施形態１から実施形態３９のすべて）を通じて適用される。 Embodiment 1 Configuration of the Invention
FIG. 3 is a diagram showing an example of the configuration of the interactive health promotion system of the first embodiment. As shown in FIG. 3, the interactive health promotion system of the first embodiment includes a user identification information storage unit (0301), an SNS user related information acquisition unit (0302), an analysis rule storage unit (0303), and health condition information analysis acquisition. It consists of a part (0304), a dialogue information storage part (0305), a dialogue information selection rule holding part for each user (0306), a dialogue information selection part (0307), and a dialogue information output part (0308). Note that this system does not have to contain all the functional parts in one case, and is not limited to one configured by only one computer or server. The present system may be configured to be housed in a plurality of cases and function as a whole, or may be configured to function in cooperation with a plurality of computers and servers. Furthermore, in the case where the system is configured of multiple cases, multiple computers, and servers, it does not prevent the system from being installed across borders. This is common not only to this system but also to an idea equivalent to this system as an operation method and an operation program as an operation program. This concept of a system applies throughout the present specification (all of the embodiments 1 to 39).
＜実施形態１　構成の説明＞
＜実施形態１　ユーザ識別情報保持部＞
　「ユーザ識別情報保持部」は、ＳＮＳを利用するユーザを識別するユーザ識別情報を保持している。ユーザ識別情報保持部によって保持されるユーザ識別情報とは、本件対話式健康促進システムを利用しているユーザの本件対話式健康促進システムにおけるユーザ識別情報である。ユーザ識別情報としては、本システムないでユーザをユニークに識別できる情報であり、例えば、電話番号、メールアドレス、ユーザが特別に設定するＩＤ、指紋認証用情報、声紋認証用情報、虹彩認証用情報、静脈認証用情報、ユーザがＳＮＳを利用している通信可能な携帯端末等の個別識別暗号や、ユーザがＳＮＳを利用している通信可能な携帯端末のマックアドレス等がそのままユーザ識別情報であってもよいし、これらが記号、符号、数字、アルファベットなどで構成される識別情報に関連付けられていることも考えられる。ユーザ識別情報と関連付けて保存されている情報は、利用者であるユーザが利用時に利用者情報として登録する情報（例えば、電話番号、メールアドレス、ユーザが特別に設定するＩＤ、氏名、生年月日、住所、職業、年齢、性別、身長、体重、平均体温、平常時脈拍数、平常時呼吸数、平常時心拍数、平均運動量（時間、質、態様等）、通勤時間、通勤距離、通勤方法、アルコール摂取の有無、ジム通いの有無、家族構成等）と、ユーザが利用しているＳＮＳサービスを特定するための情報と、ユーザがＳＮＳサービスで利用しているＩＤ等である。さらに、ユーザの身体的な状態を示すライフログとして、心拍数、脈拍数、呼吸数、体温、筋肉の収縮・弛緩の度合い、脳波、血流速度、血中酸素濃度、血中アルコール量、アレルギー反応の程度、疲労物質の蓄積の程度、等の一以上を含むように構成してもよい。これらは、身体に装着しており身体の状態を測定可能なウエアラブル端末や、身体に身に着けてはいないが通信機能を有する身体データ測定装置などから取得する。または、通信でないが可搬型のメモリに収納された身体データを可搬型メモリ（例えばＵＳＢメモリ、ＩＣカード（ＲＦＩＤ機能を有するプリペイドカードなども含む）、可搬型ディスクドライブ、光記録媒体、磁器メモリなど）から取得することもできる。なお、プリペイドカードの場合には健康診断や、医師による治療の手数料支払い時に身体の状態に関する情報を受け取り、これを取得することで身体の状態を示すデータを取得できる。ユーザ識別情報に関連付けて保持されるユーザ属性情報は、対話式健康促進システムの利用開始時にユーザ自身に登録させるように構成する。この登録があってこの対話式健康促進システムが利用可能になるように構成することができる。さらにユーザ属性情報は、すでにユーザが利用している他のシステムから移転ないしコピーして取得するように構成することもできる。例えば利用履歴がある病院などのデータや、ユーザが利用している電子カルテシステム、ユーザが利用しているトレーニングジム、ユーザが利用しているトレーニングアプリなどの施設が保有するデータなどを利用できる。 <Description of the configuration of the first embodiment>
Embodiment 1 User Identification Information Holding Unit
The “user identification information holding unit” holds user identification information that identifies a user who uses the SNS. The user identification information held by the user identification information holding unit is user identification information in the interactive health promotion system of the user using the interactive health promotion system. The user identification information is information that can uniquely identify the user without the present system, and for example, a telephone number, an e-mail address, an ID specially set by the user, fingerprint authentication information, voice print authentication information, iris authentication information Information for vein authentication, individual identification code such as communicable portable terminal where user uses SNS, Mac address of communicable portable terminal where user uses SNS, etc. are the user identification information as it is It is also conceivable that they may be associated with identification information composed of symbols, symbols, numerals, alphabets, etc. The information that is stored in association with the user identification information is information that the user who is the user registers as user information at the time of use (for example, a telephone number, an e-mail address, an ID that the user specially sets, a name, a date of birth Address, occupation, age, gender, height, weight, average body temperature, pulse rate, respiratory rate, heart rate, exercise volume (hours, quality, form etc), commuting time, commuting distance, commuting method , Presence or absence of alcohol consumption, presence or absence of gym visits, family structure, etc., information for specifying the SNS service used by the user, and an ID used by the user for the SNS service. Furthermore, as a life log indicating the physical condition of the user, heart rate, pulse rate, respiration rate, body temperature, degree of muscle contraction / relaxation, electroencephalogram, blood flow rate, blood oxygen concentration, blood alcohol content, allergy It may be configured to include one or more of the degree of reaction, the degree of accumulation of fatigue material, and the like. These are acquired from a wearable terminal worn on the body and capable of measuring the condition of the body, or a physical data measuring device which is not worn on the body but has a communication function. Alternatively, the portable memory (for example, USB memory, IC card (including a prepaid card having an RFID function), portable disk drive, optical recording medium, porcelain memory, etc.) which is stored in portable memory without communication but is portable It can also be obtained from In the case of a prepaid card, it is possible to obtain data indicating the physical condition by receiving information about the physical condition at the time of medical checkup and payment of a treatment fee by a doctor and acquiring this. The user attribute information held in association with the user identification information is configured to be registered by the user at the start of using the interactive health promotion system. With this registration, the interactive health promotion system can be configured to be available. Furthermore, the user attribute information can be configured to be transferred or acquired from another system already used by the user. For example, data of a hospital or the like having a usage history, data held by a facility such as an electronic medical chart system used by a user, a training gym used by a user, a training application used by a user, etc. can be used.
＜実施形態１　ＳＮＳユーザ関連情報取得部＞
　「ＳＮＳユーザ関連情報取得部」は、ユーザ識別情報と関連付けてユーザが利用するＳＮＳのユーザの発言を含むユーザ関連情報であるＳＮＳユーザ関連情報を外部情報として取得する。ここで「ＳＮＳユーザ関連情報」は「外部情報」の一つであり、これ以外にも後述する多様な情報が外部情報に含まれうる。ＳＮＳユーザ関連情報は、例えば、ＳＮＳでのユーザの発言情報、ＳＮＳでの他者の発言に対するユーザの反応情報、ＳＮＳで発言をチェックすることに設定している他者に関する情報、ＳＮＳでユーザが友達など特別な関係に指定している他者に関する情報、ＳＮＳでユーザが閲覧している他者の発言に関する情報、ＳＮＳで友達関係になっている他者のユーザに対する発言、ＳＮＳを介してその時の居場所を発信するいわゆるチェックイン情報、ＳＮＳにユーザがアップする写真、動画等の情報、ＳＮＳに保存される録音情報（音声メモ）、ＳＮＳを介して行われる通話内容情報、ＳＮＳ内でのユーザの購買関連情報、ＳＮＳから取得される位置情報、ＳＮＳ内で利用するゲーム関連情報（ゲームの利用頻度、ゲームの勝敗情報、ゲームの進捗情報、ゲーム関連友人情報など）、ＳＮＳでユーザが活動している時間帯、ＳＮＳでユーザが活動している時のユーザの行動（例えば、自宅にいるときが多い、会社にいる時間帯が多い、食事の時が多い、旅行中が多い、誰かと一緒にいる時が多い等）、ＳＮＳでユーザが選択していない情報、ＳＮＳでユーザが無視している情報等が考えられる。ＳＮＳユーザ関連情報には、文字としてネットワークを介して表示する情報だけでなく、音声、画像、動画等として入力及び出力されるデータも含む。従って、電話（スマートフォン、携帯電話、固定電話、タブレット端末、携帯型コンピュータ、デスクトップ型コンピュータなどを含む）で交わした会話や沈黙、笑い声、居留守、怒鳴り声、叫び声、悲鳴、声色等も外部情報として取得されてもよい（外部情報としてこれらが該当するのは本明細書の全体を通して同様である）。
　ここで「ＳＮＳ」とは、広義には、社会的ネットワーク（人と人のつながり）の構築の出来るサービスやウェブサイトを言う。従って、コメントやトラックバックなどのコミュニケーション機能を有しているブログや、電子掲示板や、自動音声によって発話が行われるように構成された電話（固定電話、スマートフォン、携帯電話、タブレット端末、可搬型コンピュータ：インターネットでの通話機能を有するものも含む）を含む。
　一方、狭義には、ソーシャル・ネットワーキング・サービスとは人と人とのつながりを促進・サポートする、「コミュニティ型の登録制のサービス」であり、個人間のコミュニケーションを促進し、あるいは効率化するために用いられる。密接な人の繋がりを重視して、既存の参加者からの招待がないと参加できないシステムになっている場合もある。ＳＮＳの一例としては、「Ｆａｃｅｂｏｏｋ（登録商標）」、「ＬＩＮＥ（登録商標）」、「Ｔｗｉｔｔｅｒ（登録商標）」、「Ｙｏｕｔｕｂｅ（登録商標）」、「Ｉｎｓｔａｇｒａｍ（登録商標）」などを挙げることができる。 <Embodiment 1 SNS user related information acquisition unit>
The “SNS user related information acquisition unit” acquires, as external information, SNS user related information which is user related information including the speech of the user of the SNS used by the user in association with the user identification information. Here, “SNS user related information” is one of “external information”, and various information described later may be included in the external information. The SNS user related information is, for example, the user's speech information in the SNS, the user's reaction information to the other person's speech in the SNS, the information on the other person who is set to check the speech in the SNS, the user in the SNS Information on other people who have specified special relationships such as friends, information on the other person's comments that the user is browsing in the SNS, Speak to the other person's user who is in a friend relationship in the SNS, then via the SNS So-called check-in information that sends out whereabouts of the user, photos such as videos uploaded to the SNS, information such as moving pictures, recording information (voice memo) stored in the SNS, call content information performed via the SNS, user within the SNS Purchase related information, location information obtained from SNS, game related information used in SNS (game usage frequency, game win / loss information, game Progress information, game-related friend information, etc., the time zone when the user is active in SNS, the user's behavior when the user is active in SNS (for example, often at home, time in company There may be many, many meals, many traveling, many times with someone, etc.), information not selected by the user in SNS, information ignored by the user in SNS, etc. The SNS user related information includes not only information displayed as characters through the network but also data input and output as voice, images, moving pictures, and the like. Therefore, conversations and silences exchanged over the phone (including smartphones, mobile phones, fixed phones, tablet devices, portable computers, desktop computers, etc.), laughter, loneliness, screams, screams, screams, voice colors etc. are also external information. It may be acquired (it is the same as external information throughout the present specification).
Here, "SNS" means, in a broad sense, a service or a website that can construct a social network (person-to-person connection). Therefore, blogs having communication functions such as comments and trackbacks, electronic bulletin boards, and telephones configured to be uttered by automatic voice (fixed phones, smart phones, mobile phones, tablet terminals, portable computers: Including those with Internet call functions).
On the other hand, in a narrow sense, social networking services are "community-based registration services" that promote and support human-to-human connections, and to promote or streamline communication between individuals. Used for In some cases, it is a system that can not participate without an invitation from existing participants, with an emphasis on close connections. Examples of SNS include "Facebook (registered trademark)", "LINE (registered trademark)", "Twitter (registered trademark)", "Youtube (registered trademark)", "Instagram (registered trademark)", etc. it can.
　＜実施形態１　分析ルール保持部＞
　「分析ルール保持部」は、ユーザ識別情報と関連付けて外部情報を健康状況の把握の観点で分析して健康状況情報を取得するためのルールである分析ルールを保持している。分析ルールは、ユーザ識別情報と関連付けられているので、ユーザの特徴に合わせた分析ルールとなる。例えば、Ａは暑いときに体のだるさを主張する発言が多く、涼しいときに活発に活動していることを示す発言が多い場合には、「涼しい」というＡの発言からは、快適、活発、といった状態にあることが推測されるので、「涼しい＝健康である」というルールがＡの特徴に合わせた分析ルールとなる。一方で、Ｂは暑いときに活発に活動していることを示す発言が多いが、涼しいときには早寝をしたり、活動を控えたり、ネガティブな発言が増える傾向にある場合には、「涼しい」というＢの発言からは、体調不良、疲労、気持ちが沈んでいる、といった状態にあることが推測されるので、「涼しい＝体調不良である」というルールがＢの特徴に合わせたルールになる。あるいは、Ｃは暑くても涼しくても体の快調を主張する発言を均一にして、外出等の活動も活発に行っているが、特に涼しいときに外出に関する発言が増えたり、遠くに出かけていることを示す発言が増える場合には、「涼しい」というＣの発言からは、どこか遠くに出かけたい、より活発に活動したい、という状態にあることが推測されるので、「涼しい＝非常に健康である」「涼しい＝活発に活動したい程元気である」というルールがＣの特徴に合わせたルールとなる。なお、ユーザのＳＮＳの情報に対して対話式健康促進システムがアクセス可能なように、ユーザが事前にアクセス許可設定をしておくことが前提となる。 First Embodiment Analysis Rule Holding Unit
The “analysis rule holding unit” holds an analysis rule which is a rule for acquiring external health information by analyzing external information from the viewpoint of grasping the health status in association with user identification information. Since the analysis rule is associated with the user identification information, it becomes an analysis rule that matches the characteristics of the user. For example, when A is hot, there are many remarks that claim to be dull and when there are many remarks that indicate active activity when it is cool, from the remarks of "cool", comfort, liveliness, It is assumed that the condition is such that the rule of “cool = healthy” is an analysis rule that matches the feature of A. On the other hand, there are many remarks indicating that B is actively working when it is hot, but it is said that it is "cool" when there is a tendency to go to bed early when it is cool, to withhold activity, or to have negative remarks. Since it is inferred from B's remark that they are in a state of poor health, fatigue, and feeling down, the rule of "cool = poor health" is a rule that matches B's characteristics. Or, even if C is hot or cool, it makes uniform remarks claiming the health of the body, and activities such as going out are actively performed, but there are more remarks about going out, especially when it is cool, or going far "Cool = very healthy because it is inferred that you want to go somewhere far, or want to be more active, from C's statement" cool "if there are more statements to indicate that it is The rule of "Cool = I'm fine enough to be active" is a rule that matches the characteristics of C. In addition, it is premised that the user sets the access permission in advance so that the interactive health promotion system can access the information of the user's SNS.
　Ｃの例に示すように、分析ルールは、単に「健康である」「体調不良である」「風邪である」という状態のみを健康状況情報として取得するためのルールである必要はなく、「非常に健康である」「比較的健康である」「体調が非常に悪い」「少し体調を崩している」「熱が出る風である」「喉の痛みのひどい風である」等のように、程度や症状を示す情報を含む健康状況情報を取得できるようなルールであってもよい。 As shown in the example of C, the analysis rule does not have to be a rule for acquiring only the states of “being healthy”, “being ill”, “being cold” as health condition information, Healthy, "relatively healthy", "very poor physical condition", "a little disorientation", "the heat is blowing", "the throat is awful wind", etc. It may be a rule that can obtain health status information including information indicating the degree and symptoms.
　精神的健康状況情報は、会話等から取得できる気分などによって取得できるが、その気分の例としては、嬉しい、楽しい、幸せ、気持ちいい、スッキリ、満足、爽快、感動、感心、和む、癒される、落ち着く、ワクワク、興奮する、高ぶる、懐かしい、好き、愛してる、恋している、憧れる、尊敬、などのポジティブな気分を表す表現から精神的健康が良い状況にある、あるいは、良い特有の状況にある、と判断できる。
　逆に、かわいそう、寂しい、悲しい、孤独、困る、戸惑う、辛い、萎える、心が痛む、憂鬱、だれる、苦しい、切ない、泣ける、呆れる、不愉快、イライラ、心配、心細い、不安、怖い、不気味、躊躇、苦笑、息苦しい、悩ましい、萎縮、焦る、情けない、恥ずかしい、屈辱、飽きた、惨め、ヘコむ、がっかり、落胆、絶望、失望、後悔、悔しい、負い目、罪悪感、恨む、惜しむ、嫌い、見下す、憎む、嫉妬、欲しい、したい、ドキドキ、気遣う、ぼんやり、モヤモヤ、哀れ、同情、などのネガティブな気分を表す表現から精神的健康が悪い状況にある、又は、悪い特有の状況にある、と判断できる。 Mental health status information can be obtained by feeling that can be obtained from conversation etc. Examples of the feeling are: happy, happy, happy, feeling good, refreshing, satisfied, refreshing, touching, touching, calming, healing, calming An expression that expresses a positive mood, such as excitement, excitement, excitement, nostalgia, love, love, love, fall in love, respect, etc. is in a state of good mental health or in a good specific situation, It can be judged.
On the contrary, poor, sad, sad, lonely, troubled, confused, painful, withered, heartache, depressed, depressed, painful, painful, crying, drowning, unpleasant, annoyed, anxious, nervous, scared, scared, creepy, Jealousy, bitter smile, stuffy, annoyed, atrophy, impatient, apathetic, embarrassing, embarrassed, humiliated, miserable, miserable, humble, disappointed, disappointed, disappointed, disappointed, disappointed, regrettable, regrettable, guilty, guilty, hate, hate It is judged that the mental health is in a bad condition or in a bad specific condition from expressions expressing negative mood such as hate, jealousy, want, want, pounding, caring, hazy, moyamoya, adoring, sympathy etc. it can.
　また、精神的状況は良い、悪いのみでなく、安心、不安、感謝、驚愕、興奮、好奇心、性的好奇心、冷静、焦燥 (焦り)、不思議 (困惑)、幸運、リラックス、緊張、名誉、責任、尊敬、親近感 (親しみ)、憧憬 (憧れ)、欲望 (意欲)、恐怖、勇気、快感、後悔、満足、不満、無念、嫌悪、恥、軽蔑、嫉妬、罪悪感、殺意、期待、優越感、劣等感、怨み、苦しみ、悲しみ、切なさ、感動、怒り、諦め、絶望、憎悪、空虚などの精神的状況を健康状況情報として把握するように分析ルールを構成してもよい。単に健康状況が良い、でなく、健康状況が良く、安心している状況、健康状況が良く、感謝している状況など個別の健康状況を把握できれば、生活改善により適した対話情報を選択することが可能となる。例えば、安心している状況では、「やっぱりうまくいったね～。次回もこれでいこ～。」などと励ましたり、感謝している状況では、「それは自分が頑張ったからだよ。すごいね。」などとほめるようなことが考えられる。その状況にあった対話情報を選択できれば出来るほど、ユーザの心に響くからである。 In addition, the mental situation is good, not only bad, but also peace of mind, anxiety, appreciation, astonishment, excitement, curiosity, sexual curiosity, calmness, irritability, wonder (embarrassment), good luck, relaxation, tension, honor , Responsibility, respect, intimacy (intimacy), jealousy (demeanor), desire (motivation), fear, courage, pleasure, remorse, satisfaction, dissatisfaction, remorse, hate, shame, scorn, guilt, murder, hope The analysis rule may be configured to grasp mental situations such as sense of superiority, inferiority, hate, suffering, sadness, sadness, emotion, anger, licking, despair, hate, emptiness as health condition information. If we can grasp not only good health condition but also good health condition, safe condition, good health condition and good health condition, we can select dialogue information more suitable for life improvement It becomes possible. For example, in a situation where I am relieved, I encourage you to say, "I worked well after all. This is the next time." In situations where I am grateful, I say "It's because I worked hard. It's amazing." It is possible to praise. The more the user can select the dialogue information suited to the situation, the more it resonates with the user's mind.
　また、ＳＮＳの写真や映像を分析して、肩をすぼめる、ぽかんとしている、せっかちな様子、渋い顔でいる、あきれている、しりごみしている、ひっかかっている、むっつりしている、ふくれっ面をしている、顔をしかめている、もじもじしている、断固としている、戸惑っている、ひるんでいる、おそるおそるしている、苦々しくしている、じーんとしている、一心不乱にしている、いてもたってもいられないようにしている、動揺している、なげいている、おどけている、うんざりしている、気もそぞろにしている、切ないようにしている、おろおろしている、あぜんとしている、ろうばいしている、ほがらかにしている、おどおどしている、うしろめたそうにしている、開き直っている、わずらわしそうにしている、いぶかしそうにしている、うろたえている、ひがんでいる、ちゅうちょしている、圧倒されている、おおらかにしている、照れている、うらめしそうにしている、あざけている、いきどおっている、しおらしくしている、心もとなさそうにしている、やましそうにしている、あざ笑っている、哀れんでいる、リラックスしている、控え目にしている、いたいけにしている、やり場のない様子にしている、まんざらでもない様子にしている、有頂天になっている、しみじみとしている、気さくにしている、歓喜している、力を抜いて楽にしている、喜んでいる、孤独そうにしている、失望している、妥協している、冷酷にしている、臆病にしている、称賛している、軽蔑している、柔和にしている、大胆にしている、繊細にしている、同調している、平静にしている、憤慨している、ひたむきにしている、という感情を取得し、これからさらに精神的健康状況情報を取得するようにルールを定めてもよい。また、これらは、一般に多くの人に共通の動作であることも多いので、ユーザ識別情報に関連付けられている分析ルールであったとしても、本システムを利用している他の大多数のユーザの情報を活用して分析するように構成してもよい。これは人工知能などを用いるとより精度が向上する。 In addition, analyze photos and videos of SNS, shoulders down, swaying, sloppy, sloppy face, awful face, arrogant, sloppy, sluggish, muddy, puffy I'm doing, I'm frowning, I'm frowning, I'm stunned, I'm embarrassed, hilarious, scolding, sadly, bitter, scolding, irritated Yes, I'm upset, upset, upset, upset, outrageous, disgusted, disgusted, diligent, innocent, downright, Alive, Alive, Apocalypse, Apocalypse, Apocalypse, Apologetic, Apocalypse, Apocalypse Yes, I'm upset, I'm upset, I'm upset, I'm upset, I'm upset, I'm upset, I'm upset, I'm upset, I'm upset, I'm upset, I'm upset! I am serious, I am jealous, I'm laughing, I'm laughing, I'm addicted, relaxed, humble, I'm sorry, I'm making a disappointing look, even though I'm No way, Ecstatic, Ecstatic, Ecstatic, Emotional, Rejoicing, Unrestrained, Ease, Rejoicing, Lonely, Disappointing, Compromise, ruthless, timid, praise, disdain, disappointing, soft, bold, delicate, synchronized, calm We are, are outraged, and the single-minded, to get the feeling that, may be set the rules so as to acquire a further mental health status information in the future. In addition, since these are generally common operations to many people, even if they are analysis rules associated with user identification information, most of the other users of this system are using this system. It may be configured to utilize and analyze information. The accuracy is further improved by using artificial intelligence or the like.
　会話などの外部情報を健康状況情報に昇華させるには、その会話が直接的に健康状況情報に直結しない場合、会話の中で出てきた言葉、話題の対象、あるいはこれらから何を想像するかをＳＮＳを通じて述べてもらい、その言語表現を分析することによって利用者の思考過程やその精神的状況、身体的状況を推定することができる。なお、推定の基準点としてライフログに含まれている直接的に健康状況情報として把握できる情報や、外部情報として得られる健康診断結果などを利用する。この基準点の時間的周辺において得られる同一人物の会話の中で出てきた言葉（今朝はよく眠れた等）、話題の対象（年末大売出し等）、あるいはこれらから何を想像するか、を健康状況情報を推計するための情報として利用する。あるいは本システム側から対象となる言葉や話題を提供してこれから何を連想するか、どう思うかの問いかけを積極的に行うように構成してもよい。これに近い技術としてはロールシャッハテストがある。ロールシャッハテストは視覚を介して見たものから何を想像するかを分析に利用するものであるが、本システムでは、視覚を通じて見た（感じた）もののみならず、会話のなかで抽象的に理解できる対象すべてを含む。例えば、「公園のベンチ」、「横断歩道」などの言葉であってよい。基本的にはこの手法をＡＩ等を利用して用い、多数の利用者の会話と推定される健康状況情報との相関推計精度を学習しながら高めてゆくものである。また、ＳＮＳの会話の中に話題の対象とそれに対する想像の両者が含まれている場合には本システム側から何を想像するかの問いかけなしに思考過程や精神的状況、身体的状況を推定することができる。これは、また心理学者であるフロイトやユングの用いた自由連想法に近い手法でもある。フロイトの時代には心理学者等の経験値によってこの手法の効果が左右されたが本システムでは統計処理と人工知能等を利用することで精度を向上させることができた。 In order to sublimate external information such as conversation into health status information, if the conversation does not directly lead to health status information, the words appearing in the conversation, the subject of the topic, or what are these to be imagined Can be described through SNS, and the user's thinking process, its mental situation, and physical situation can be estimated by analyzing its linguistic expression. In addition, the information which can be grasped as health condition information directly contained in the life log as a reference point of estimation, the health check result obtained as external information, etc. are used. Words appearing in the conversation of the same person obtained around the time of this reference point (sleep well this morning, etc.), subject matter (such as year-end large sale etc.), or what to imagine from these, health Used as information for estimating situation information. Alternatively, it may be configured to actively ask questions about what to think about from now on by providing target words and topics from the present system side. As a technology close to this, there is a Rorschach test. The Rorschach test is used to analyze what you imagine from what you see through vision, but in this system, not only what you see (feel) through vision, but also abstract in conversation Includes all understandable objects. For example, it may be words such as "park bench", "crosswalk" and the like. Basically, this method is used using AI or the like to improve the accuracy of correlation estimation between the conversations of many users and estimated health condition information while learning. In addition, when the SNS conversation includes both the subject of the topic and the imagination for it, the thinking process, the mental situation and the physical situation are estimated without asking what to imagine from the system side can do. This is also a method similar to the free association method used by psychologist Freud and Jung. In Freud's era, the effectiveness of this method was influenced by the experience of psychologists, etc. In this system, the accuracy could be improved by using statistical processing and artificial intelligence.
　分析ルールは、肉体的な健康状況情報だけでなく、肉体的な健康状況情報と精神的な健康状況情報の両方を合わせた健康状況情報を取得するルールであることが好ましい。肉体的な健康状況情報とは、肉体的に疲労、眠気、吐き気、だるさ、発熱、頭痛、腹痛、喉の痛み、腰痛、筋肉痛、二日酔い、眩暈、高血圧、脈拍が高い、呼吸が浅い、血糖値が高い、肥満、治療中の病気がある、等の病的な症状を訴える対話と映像等の有無から判断される健康状況情報である。肉体的な健康状況情報によれば、病的な症状訴える対話と映像等がなければ健康であり、病的な症状訴える対話と映像等があれば不健康であると判断される。また、「健康状況情報」とは、運動量、呼吸量、歩行量、摂取カロリー量、摂取食品成分、摂取食品成分量、飲酒量、摂水量、体重、身長、体温、血圧、ＢＭＩ値、腹囲、内臓脂肪、体脂肪率、視力、眼圧、肺機能、尿検査値、便検査値、血液生化学検査値、などであってもよい。総じていえば「肉体的健康状況情報」とは、ＷＨＯの定義に従い、健康状態を「完全な肉体的(physical)、精神的(mental)、Spiritual及び社会的(social)福祉のDynamicな状態であり、単に疾病又は病弱の存在しないことではない。」と定義し、肉体的健康とは、そのうち、「完全な肉体的(physical)、Dynamic（正常な活動可能）な状態であり、単に疾病又は病弱の存在しないことではない。」と定義され、従って肉体的健康状況とは、完全な肉体的(physical)、Dynamic（正常な活動可能）な状態、単に疾病又は病弱の存在しないことではない状態に関する状況を示すものを指す。従って健康である場合、健康でない場合、いずれの場合であっても、その状況を示す情報である。 The analysis rule is preferably a rule for acquiring not only physical health condition information but also health condition information combining physical health condition information and mental health condition information. Physical health information includes physical fatigue, drowsiness, nausea, fatigue, fever, headache, abdominal pain, sore throat, back pain, muscle aches, hangovers, dizziness, high blood pressure, high pulse, shallow blood pressure, blood sugar It is health status information that is judged from the presence or absence of dialogues and videos that complain of pathological symptoms such as high value, obesity, or a disease being treated. According to the physical health condition information, it is judged to be unhealthy if there is no dialogue or video etc. which complains of a pathological symptom, and if there is a dialogue or video etc. which complains about a pathological symptom. Also, “health condition information” includes exercise amount, respiration amount, walking amount, calorie intake, food intake, food intake, alcohol consumption, water intake, weight, height, body temperature, blood pressure, BMI value, abdominal circumference, Visceral fat, body fat percentage, visual acuity, intraocular pressure, lung function, urine test value, stool test value, blood biochemistry test value, etc. may be used. Generally speaking, "physical health status information" means, according to the definition of WHO, the health status is "Dynamic status of physical, mental, spiritual and social welfare". "It is not simply the absence of a disease or illness." Physical health means, among them, "a complete physical, Dynamic (normally active) state," and only a disease or illness. Physical health status refers to a condition that is not a complete physical, dynamic (normally active) condition, not simply the absence of a disease or illness. Point to something that indicates the situation. Therefore, in the case of being healthy, not being healthy, or in any case, it is information indicating the situation.
　精神的な健康状況情報とは、精神的に気分がいい、気持ちが高揚している、やる気に満ちている、何かに挑戦したい気持ちである、楽しい、嬉しい、幸せ、等のプラスの精神状態と、落ち込んでいる、悩みがある、悲しい、憤怒、嫌悪感、焦燥感、飢餓感、等のマイナスの精神状態の二つの精神状態のいずれの精神状態にあるかによって判断される健康状況情報である。精神的な健康状況情報によればプラスの精神状態であれば、健康であり、マイナスの精神状態であれば不健康であると判断される。総じていえば精神的な健康状況情報とは精神的な健康である「完全な精神的(mental)、Spiritual及び社会的(social)福祉のDynamic（正常に活動可能）な状態であり、単に精神的な疾病又は精神的な病弱の存在しないことではない。」から導かれ、完全な精神的(mental)、Spiritual及び社会的(social)福祉のDynamic（正常に活動可能）な状態であるか、精神的な疾病又は精神的な病弱が存在しないか、の状態に関する状況を示す。 Mental health status information is mentally good, feeling uplifting, motivated, feeling that you want to challenge something, pleasant, happy, happy, etc. positive mental status And health condition information judged by which of two mental states of negative mental state such as depressed, troubled, sad, anger, aversion, irritability, hunger, etc. is there. According to the mental health condition information, it is judged to be healthy if it is positive, and unhealthy if it is negative. Generally speaking, mental health status information is mental health, “Dynamic (normally active) state of complete mental (spirit), spiritual and social (social) welfare, only mental It is not the absence of any major illness or mental illness. ”It is a Dynamic (normally operational) state or spirit of complete mental (spiritual), spiritual and social welfare. Indicate a condition related to the absence of a major or mental illness.
　以上から健康状況情報には、「痛みについての状況の情報」、「ストレスについての状況の情報」、「習慣化についての状況の情報」、「労働生産性についての状況の情報」、「いわゆる人口知能、会話型コンピュータ、人工知能スピーカーなどのロボット類似のものとの精神的距離間についての状況の情報」などを含みうる。肉体的な健康状況情報と精神的な健康状況情報の両方を合わせて健康状況情報を取得するとは、例えば、一般的には肉体的に病的な症状がなく健康であっても精神的にマイナスの精神状態であれば、その日は活動的に過ごすことができず、本人の体感健康としては体調不良であるように感じていることが多いので、健康状況情報としては不健康であることを示す情報が取得されることになる。あるいは、肉体的に病的な症状が認められるが精神的にはプラスの精神状態にある場合には、肉体的な病状に気付かせて療養させることが重要であるから、不健康と判断される。 From the above, the health status information includes "information on the condition about pain", "information on the condition about stress", "information on the condition about habituation", "information on the condition about labor productivity", "so-called population" This may include information on the situation about the mental distance between the robot, robot intelligence such as intelligence, conversational computer, artificial intelligence speaker, and the like. For example, in general, physical condition information and mental health condition information are combined to obtain health condition information. If you are in a mental state, you can not spend the day actively, and you often feel that you are feeling unwell as the physical and mental health of the person, so information that indicates that you are unhealthy as health status information Will be acquired. Alternatively, if physically ill symptoms are observed but the person is in a mentally positive mental state, it is determined to be unhealthy because it is important to be aware of the physical condition and to be treated.
　肉体的不健康と精神的不健康は、密接に関連しており、肉体的不健康が精神的不健康を引き起こしていることが多い。その場合には、肉体的不健康が取り除かれれば、精神的不健康が改善されることが多い。しかし、精神的不健康が原因となって肉体的不健康を引き起こしていることもままあり、その場合には、肉体的不健康を取り除いても精神的不健康は改善されない。従って、精神的不健康に着目して、精神面からも健康を促進するようにアドバイスを行うことは極めて有効である。精神的症状（鬱、躁鬱、イラ立ち等）に対しては、従来からカウンセリング療法が確立されていたが、本件対話式健康促進システムでは、カウンセリングだけでなく、運動や食事といった多方向から精神的な健康促進を図る点に特徴がある。精神面から健康を促進するアドバイスを行うためには、ユーザの精神状況を分析することが必要である。そこで、様々なデータを肉体的な健康状況だけではなく精神的健康状況も同価値の健康状況情報として分析する必要がある。また、本システムの目的は健康状態を良好となるように改善すること、健康状態を良好な状態で維持することであり、外科的な手法によって治療をするような策をとるものでなく、生活の日常を改善することでその目標を達成しよとするものである。従って一長一短に目標が達成できることを狙ったものでなく、生活習慣の改善、維持が本システムによって目標を達成するために利用者に求めるものである。かかる観点から、分析ルールは、中長期的な観点から健康状況が改善されてきているのか、又は良好な健康状態が維持されているのか、の観点からの分析を行うルールも含まれていることが好ましい。従って、日々の健康状態のばらつきの分析も必要であるが、中期的にみてばらつきながらも健康状態が改善してきているのか、又は、足踏みしているのか、又は、悪化してきているのかを判断するルールが必要である。このためには、当日、前日といった短期的な外部情報に基づく分析のみならず、１週間前と当日、前日、１か月前と当日、ないしは、１か月前からの毎日の変化などを統計的に処理して中期的な状況変化を分析するようなルールであることが好ましい。 Physical and mental health are closely related, and physical health is often the cause of mental health. In that case, mental ill health is often improved if physical ill health is removed. However, mental ill health may still cause physical ill health, in which case removal of physical ill health does not improve mental ill health. Therefore, it is extremely effective to give advice to promote mental health, focusing on mental health problems. Although counseling therapy has been established in the past for mental symptoms (depression, depression, irritability, etc.), this interactive health promotion system is not only counseling but also from multiple directions such as exercise and diet. Unique health promotion. In order to give mental health advice, it is necessary to analyze the user's mental situation. Therefore, it is necessary to analyze various data as well as physical health status as mental health status information of equivalent value. In addition, the purpose of this system is to improve the health condition well and to maintain the health condition well, not to take measures such as treatment by surgical method, The goal is to be achieved by improving daily life. Therefore, it does not aim at achieving the goal with the advantages and disadvantages, but the improvement and maintenance of lifestyle habits require the user to achieve the goal by this system. From this point of view, the analysis rule also includes a rule for performing analysis from the viewpoint of whether the health status has been improved or the good health status has been maintained from the mid- and long-term perspective. Is preferred. Therefore, it is also necessary to analyze daily variations in health status, but it is judged whether health status has improved, or has been stepped on or deteriorated in the medium term. You need a rule. For this purpose, we analyze not only analysis based on short-term external information such as the day, the day before, but also statistics such as daily changes from one week ago and the day, the previous day, one month ago and the day, or one month ago. It is preferable that the rules be processed in order to analyze medium-term situational changes.
　＜実施形態１　健康状況情報分析取得部＞
　「健康状況情報分析取得部」は、ユーザ識別情報に関連付けられている取得した外部情報と同じユーザ識別情報に関連付けられている分析ルールとに基づいて健康状況情報を取得する。ＳＮＳユーザ関連情報でのユーザの数々の発言の中には、分析ルールによって健康と判断される発言から、不健康と判断される発言まで、複数の発言が混ざっているのが普通である。健康状況情報分析取得部では、分析ルールによって取得される複数の健康及び不健康の健康状況情報を、総合的に分析することによって、ユーザの健康状況情報を取得する。例えば分析ルールによって取得される健康状況情報と不健康状況情報の数を比較して、多い方の健康状況を採用する方法が考えられる。あるいは、健康状況の程度ごとにポイントを定めて置き、そのポイントをもとに判断する方法が考えられる。ポイントを単に合計するだけでは、発言数が多い人と少ない人で、健康状況情報分析の精度が異なってくるので、ポイントのアベレージをもとに健康状況の判断をすることが好ましい。 <Embodiment 1 Health Condition Information Analysis Acquisition Unit>
The “health condition information analysis acquisition unit” acquires health condition information based on the acquired external information associated with the user identification information and the analysis rule associated with the same user identification information. Among the many utterances of the user in the SNS user related information, it is common that a plurality of utterances are mixed from the utterance judged to be healthy by the analysis rule to the utterance judged to be unhealthy. The health condition information analysis acquisition unit acquires the user's health condition information by comprehensively analyzing the plurality of health and unhealthy health condition information acquired by the analysis rules. For example, a method may be considered in which the health condition information obtained by the analysis rule is compared with the number of unhealthy condition information to adopt the larger health condition. Alternatively, it is conceivable to set points for each degree of health condition and make a judgment based on the points. It is preferable to judge the health status based on the average of the points because the accuracy of the health status information analysis is different for people with many comments and for people with only a small number of voices simply by adding up the points.
　健康状況の分析に用いられる外部情報であるユーザのＳＮＳでの発言等と、健康状況の分析に用いる分析ルールは、同じユーザ識別情報に関連付けられているものであるから、健康状況情報分析はユーザの個性に即した分析となる。したがって、同じような会話ログであったとしても、ユーザが異なれば、健康状況情報分析取得される健康状況情報は異なってよい。ユーザのＳＮＳでの会話等外部情報が蓄積されることで、分析の精度は増すものであり、また、年代と共にユーザの感じ方が変わることが考えられるので、同じユーザの類似する外部情報をもとに健康状況情報分析取得した場合でも、異なる結果が取得されることはあり得る。 Since the user's speech etc. in the SNS, which is external information used for analyzing the health condition, and the analysis rule used for analyzing the health condition are associated with the same user identification information, the health condition information analysis Analysis in line with the individuality of Therefore, even if the conversation log is similar, if the user is different, the health condition information obtained by analyzing the health condition information may be different. Accumulation of external information such as user's SNS conversations increases the accuracy of analysis, and it is possible that the user's feeling changes with the age, so similar external information of the same user Even when health condition information analysis is acquired, different results may be acquired.
　＜実施形態１　対話情報蓄積部＞
　「対話情報蓄積部」は、ユーザ識別情報に関連づけて取得した健康状況情報に応じて発信すべき対話情報を蓄積する。対話情報は、一般社会においておよそ発言される可能性があるありとあらゆる会話がデータベースとして蓄積されている。本件対話式健康促進システムで、ユーザに対して健康促進又は健康習慣の定着のアドバイスをする際のベースとなる会話の例文を特に重厚に保持している。一般的な会話情報の辞書の他に健康に関して専門的な辞書のようなものを有するのが好ましい。言語はユーザが解する言語で蓄積していてもよいし、日本語や英語、中国語などの標準言語によって対話情報を蓄積し、ユーザの使用言語に合わせて翻訳して選択されるように構成することもできる。従って、言語辞書データベース、会話辞書データベース、などをベースに基礎を構築し、さらにＳＮＳや、情報提供サイト、企業広告のサイト、掲示板サイト、電話の通話内容、等本件対話式学習促進システムが閲覧視聴収集可能なすべての情報源から収集した対話情報を蓄積することが好ましい。これらには例えば方言、ギャル語、絵文字、顔文字、隠語、造語、新語、略語、慣用語などが含まれていてよく、これらは人工知能によって収集され、徐々に会話精度が高まる（意図が正確に伝わる）ように構成されることが好ましい。さらに、健康促進アドバイス等を構成する対話情報は、専門的な医学用語であったり、特定の食品名や、特定の店舗名、造語を用いて行うことが考えられる。専門用語や特定の店舗名等や造語は、ネット上から確実に取得できるとは限らないため、蓄積部に人が直接入力することによって、特殊な言語群の入力が行えるように構成しておくことが好ましい。 Embodiment 1 Dialogue Information Storage Unit
The “dialogue information storage unit” stores dialogue information to be transmitted according to the health condition information acquired in association with the user identification information. The dialogue information is stored in a database as any and every conversation that may be spoken in the general society. In the interactive health promotion system, the example sentence of the conversation, which is the basis for giving advice to the user on health promotion or the establishment of health practices, is held particularly deeply. In addition to a general dictionary of conversational information, it is preferable to have something like a professional dictionary about health. Languages may be stored in a language understood by the user, or dialog information may be stored in a standard language such as Japanese, English, or Chinese, and configured to be translated and selected according to the user's language used You can also Therefore, the foundation is built on the basis of language dictionary database, conversation dictionary database, etc. Furthermore, SNS, information provision site, corporate advertisement site, bulletin board site, telephone call contents, etc. It is preferable to accumulate dialogue information collected from all sources that can be collected. These may include, for example, dialects, gal words, pictograms, emoticons, secret words, coined words, new words, abbreviations, idioms, etc., which are collected by artificial intelligence and gradually improve speech accuracy (intentionally accurate) Preferably). Furthermore, it is conceivable that the dialogue information constituting the health promotion advice and the like is a specialized medical term, or using a specific food name, a specific store name, or a coined word. Since technical terms and specific store names and coined words can not always be acquired reliably from the Internet, it is configured so that a special language group can be input by a person directly inputting in the storage unit. Is preferred.
　本件対話式健康促進システムは、ユーザ一人一人の個性を反映させて、ユーザにとって自然な会話となるように対話情報を選択して出力することで、ユーザに対してあたかも自分を心配してくれている生身の人間と接しているかのような感情を抱かせることに特徴がある。そのため、ユーザの普段の会話に合わせて、丁寧な言葉遣いにするのか、口語調のラフな言葉遣いにするのか、大阪弁や博多弁などの方言にするのか、文書中に英語を取り混ぜた言葉遣いにするのか、といった会話内容の選択だけでなく会話の形式を選択可能に対話情報が蓄積されていることが好ましい。対話情報蓄積部は、対話の形成の違いごとに同じ意味合いの対話であっても違うものとして対話情報を蓄積してもよい。すなわち、感謝の気持ちを表現する対話情報として、「ありがとうございます。」「ありがとう」「ありがとー」「おおきに」「サンキュ」「サンキュー」「Ｔｈａｎｋ　ｙｏｕ」等の表現をすべて異なる対話情報として蓄積しておく。あるいは、対話情報蓄積部は、意味合いごとに一番基本的となる対話情報のみを蓄積して、後述する対話情報出力部によって、対話情報蓄積部から選択した基本となる対話情報をユーザの個性にあった対話形式に変換する方法が考えらえる。この場合、基本となる対話情報をユーザごとの特性に即した対話形式に変換するルールは、ユーザ別対話情報選択ルールに含まれている。この場合の対話情報蓄積部には、「ありがとうございます。」「ありがとう」「ありがとー」「おおきに」「サンキュー」「Ｔｈａｎｋ　ｙｏｕ」等はすべて感謝を表す表現であるから、基本となる対話情報として「ありがとうございます」のみが保存されることになる。 In the present interactive health promotion system, the user reflects on the individuality of each user and selects and outputs the dialog information so as to be a natural conversation for the user. It is characterized by having the feeling as if you are in contact with a living human being. Therefore, according to the user's daily conversation, whether to use polite language, rough language with spoken language, or dialects such as Osaka dialect or Hakata dialect, words that mix English in the document It is preferable that the dialogue information be stored so that the form of the conversation can be selected as well as the selection of the conversation content, such as whether it will be lost or not. The dialogue information storage unit may store dialogue information as a dialogue having the same meaning depending on differences in formation of the dialogue. That is, as dialogue information expressing feelings of gratitude, expressions such as “Thank you”, “Thank you”, “Thank you”, “Okini”, “Thank you”, “Thank you”, “Thank you”, “Thank you” etc. deep. Alternatively, the dialogue information storage unit accumulates only the most basic dialogue information for each meaning, and the dialogue information output unit described later sets the basic dialogue information selected from the dialogue information storage unit to the individuality of the user. I can think of a way to convert it into an interactive form. In this case, a rule for converting the basic dialogue information into a dialogue style conforming to the characteristics of each user is included in the user-by-user dialogue information selection rule. In the dialogue information storage part in this case, “thank you.” “Thank you” “Thank you” “Okini” “Thank you” “Thank you” “Thank you” etc. are all expressions that express gratitude. Only "Thank you" will be saved.
　対話情報蓄積部に蓄積された対話情報は、インターフェイスモニタに表示可能なように構成しておいてもよい。蓄積された対話情報が表示されたインターフェイス画面上から、手動で対話情報の追加、変更、削除といった管理行為を行うことが可能なように、対話情報蓄積部管理手段を対話情報蓄積部が有するように構成する、あるいは、対話情報蓄積部管理部が新たな構成として設けられるように構成することが考えられる。対話情報蓄積部の管理行為は、本件対話式健康促進システムの管理及び提供を行う者が行うことを想定している。 The dialog information stored in the dialog information storage unit may be configured to be able to be displayed on the interface monitor. A dialog information storage unit has a dialog information storage unit management means so that management actions such as addition, change and deletion of dialog information can be manually performed from the interface screen on which the stored dialog information is displayed. Alternatively, it may be considered that the dialogue information storage unit management unit is provided as a new configuration. The management action of the dialogue information storage unit is assumed to be performed by a person who manages and provides the interactive health promotion system.
　＜実施形態１　ユーザ別対話情報選択ルール保持部＞
　「ユーザ別対話情報選択ルール保持部」は、取得した健康状況情報に基づいて蓄積されている対話情報を選択するユーザ識別情報に関連付けられたルールであるユーザ別対話情報選択ルールを保持する。ユーザ別対話情報選択ルールは、ユーザに対してあたかも自分を心配してくれている生身の人間と接しているかのような感情を抱かせるために、ユーザ一人一人の個性を反映させて、ユーザにとって自然な会話となるように対話情報を選択するためのルールである。外部情報である、ＳＮＳのユーザ発信情報等（文字による発言、音声による発言、閲覧記録、登録している他のＳＮＳユーザ、等に関する情報）から、ユーザの対話の形式に即した会話の形式を選択し、健康状況情報分析取得された健康状況情報に基づいて会話の内容を選択し、両選択を合わせてユーザの個性を反映した対話情報を選択可能なルールである。 <Embodiment 1 User-specific dialog information selection rule holding unit>
The “user-by-user dialog information selection rule holding unit” holds a user-by-user dialog information selection rule which is a rule associated with user identification information for selecting the dialogue information accumulated based on the acquired health condition information. The user-specific dialog information selection rule reflects the individuality of each user in order to make the user feel as if he or she is in contact with a real human being who is worried about himself. It is a rule for selecting dialogue information so as to be a natural conversation. The form of conversation according to the form of the user's dialogue from the external information, user outgoing information etc. of SNS (information about the speech by speech, speech by speech, reading record, other SNS users who are registered, etc.) It is a rule which can be selected and the content of conversation selected based on the health condition information acquired by health condition information analysis, combining both selection and selecting dialogue information reflecting the individuality of the user.
　ユーザ別対話情報選択ルールは、ユーザの応答対話情報も含みうる外部情報に基づいた健康状況情報に応じて選択されるように構成されるが、健康になること、健康を維持することを最終目標として、達成すべき目標が階層構造に集積されており、健康状況情報に基づいて判断、推測される健康状態がこの階層構造中のどこに位置しているかに応じて、適切な発話（対話情報）が選択されるように構成されてもよい。つまり、達成すべき健康の目標が定まると、それに応じて対話情報が選択されるように階層構造中の健康状態と関連付けて対話情報が選択されるように構成してもよい。例えば、軽度の糖尿病にり患しているユーザに対しては、糖尿病の原因である糖分の摂取状況を健康状況情報に基づいて判断、推測し、糖分の摂取を現段階よりも５％程度少なくできるように対話情報が選択される。一方、重度の糖尿病にり患しているユーザに対しては、同じく糖分の摂取を２０％程度少なくするように対話情報を選択するとともに、インシュリンの摂取を習慣づけるような対話情報を選択するように構成する。つまり、同じ糖尿病のユーザであっても健康という最終目標から見た階層的な位置づけに応じて選択される対話情報が適切となるように構成することができる。 The user-specific dialogue information selection rule is configured to be selected according to the health status information based on the external information that may also include the user's response dialogue information, but the goal is to become healthy and maintain health. As the goal to be achieved is accumulated in hierarchical structure, judgment based on health condition information, appropriate utterance according to where inferred health condition is located in this hierarchical structure (dialogue information) May be configured to be selected. That is, when the health goal to be achieved is determined, the dialogue information may be selected in association with the health state in the hierarchical structure so that the dialogue information is selected accordingly. For example, for a user suffering from mild diabetes, the intake status of sugar that is the cause of diabetes can be judged and estimated based on health status information, and sugar intake can be reduced by about 5% compared to the current level As such, dialogue information is selected. On the other hand, for users suffering from severe diabetes, as well as selecting dialogue information so as to reduce sugar intake by about 20%, so as to select dialogue information that makes it a habit to take insulin. Configure. That is, even the same diabetes user can be configured such that the dialogue information selected according to the hierarchical position viewed from the final goal of health becomes appropriate.
　対話形式には、丁寧語、口語、ギャル語、大阪弁、京都弁、博多弁、名古屋弁、北海道弁、沖縄弁などの各地方の方言、等形式的に事前に登録してある一般的対話情報選択ルールから選択してユーザ別対話情報選択ルールとする方法と、ユーザの会話情報から全てオリジナルに組み立てる方法が考えられる。ユーザがより身近な、かつ生身の存在であるかのように本件対話式健康促進システムを認識できるのは、ユーザの個性をより強く反映できる、対話形式をオリジナルに組み立てる方式である。しかし、ユーザが本件対話形式健康促進システムを使い始めた段階では、ユーザの個性を分析するための外部情報の蓄積量が少ない。したがって、ユーザの個性に応じたオリジナルの形式を選択するためのルールを取得するのに十分な情報がない場合には自動的にデフォルトの形式を選択する。例えばユーザに対話形式を選択登録させることでユーザの好みの対話形式で開始するように構成することが考えられる。また、ユーザの属性に応じて適切な対話形式を自動的に選択するように構成しもよい。ユーザの属性とは、年齢、性別、出身地、現住所地、国籍、使用言語、ＳＮＳでの会話（対話）形式、ＳＮＳでの友人の会話（対話）形式、好みの服装種別、好みの映画種別、好みの書籍種別、好みの有名人種別（タレント、俳優、政治家、著述家、歌手、芸人、歴史上の人物、アナウンサー、キャラクター）などである。対話情報選択ルールの取得に十分なユーザの外部情報が蓄積されたら、ユーザの個性に応じた形式を対話情報蓄積部から選択するような固有のユーザ別対話情報選択ルールを構成する。 General dialogues that are registered in advance are formally registered, such as polite language, spoken language, gal language, Osaka dialect, Kyoto dialect, Hakata dialect, Nagoya dialect, Hokkaido dialect, Hokkaido dialect, etc. There are conceivable a method of selecting from information selection rules and setting it as a user-by-user dialogue information selection rule, and a method of assembling all of the user's conversation information into an original. What can recognize the interactive health promotion system as if the user is more familiar and living is the method of assembling an interactive form that can more strongly reflect the user's individuality. However, when the user starts using the interactive health promotion system, the amount of external information accumulated to analyze the user's individuality is small. Therefore, if there is not enough information to acquire a rule for selecting an original format according to the user's personality, a default format is automatically selected. For example, it can be considered that the user can select and register an interactive form and start it in the interactive form of the user's preference. In addition, it may be configured to automatically select an appropriate interaction type according to the user's attribute. The attributes of the user are age, gender, birthplace, present address, nationality, language used, SNS conversation (dialogue) format, SNS friend conversation (dialogue) format, favorite clothes type, favorite movie type , Favorite book type, favorite celebrity type (talent, actor, politician, writer, singer, entertainer, historical person, announcer, character) and the like. When external information of the user sufficient for acquisition of the dialogue information selection rule is accumulated, a unique user-by-user dialogue information selection rule is configured to select a format corresponding to the individuality of the user from the dialogue information storage unit.
　ユーザのＳＮＳの会話情報から対話情報の形式を分析するうえで、単にユーザの発言形式のみにとらわれるのではなく、ユーザが頻繁にやりとりを行っている友人や家族の会話形式を分析して、ユーザ別対話情報選択ルールを組み立てることが考えられる。ユーザが実際に日常的に会話をしている会話相手の話し方を分析して反映させることで、友人や家族と話して言うような安心感を与えることが可能となる。したがって、ユーザに対してより強く、あたかもユーザのことを心配している生身の人間とやり取りをしているかのような気持ちを抱かせることが可能となり、ユーザに、誰かに励まされている、見守られている、応援されている、情けない所を見られたくない、褒めてもらえて嬉しい、上手くできなくて情けない、悲しい、といった、人間が努力を反復継続させるうえで欠かせない感情を持続的に抱くことが可能となる。また、普段から悩みを相談しアドバイスをしてくれる人物に似ている者からのアドバイスであれば、これに素直に従いやすくなり、ユーザが本件対話式健康促進システムから出力された対話情報に従って健康促進行動をとりやすくなることも期待できる。このような観点から蓄積されている対話情報には愛情を伝える対話情報、好感度を伝える対話情報、相手を褒める対話情報、相手を励ます対話情報など感情移入できる対話情報がバラエティに富んで蓄積されていることが好ましい。 In analyzing the format of the dialogue information from the conversation information of the user's SNS, the user is not merely confined by the user's speech format, but by analyzing the conversation format of friends and family whom the user frequently interacts with, the user It is conceivable to assemble another dialogue information selection rule. By analyzing and reflecting the manner in which the conversation partner actually talks everyday, the user can give a sense of security as if speaking to a friend or family member. Therefore, it is possible to make the user feel stronger as if he is interacting with a real human being who is worried about the user, and the user is encouraged by someone, a guard The emotions that are essential for human beings to repeat their efforts, such as being supported, supported, not wanting to be able to look at a disappointing place, happy to give up, happy not being able to do well, disappointing, sad It will be possible to hold it. In addition, if the advice is from a person who is similar to a person who consults and gives advice on a daily basis, it will be easy to follow this obediently, and the user will promote health according to the dialogue information output from this interactive health promotion system It can be expected that it will be easy to take action. The dialogue information accumulated from this point of view is a variety of accumulated dialogue information that can be empathic, such as dialogue information that conveys affection, dialogue information that conveys liking, dialogue information that gives up the other party, dialogue information that encourages the other party, etc. Is preferred.
　さらに、いつも否定的な発言から応答するが、何度もお願いされると断れないとか、本当はそれほど嫌ではないのに大げさに嫌がっている、とりあえず嫌がっておく、というユーザの性格が性格診断や属性情報などで取得されている場合には、ユーザからの数回の否定的応答だけでは出力した対話情報に有効性がないとは言えず、同じ対話情報の出力を平均的にユーザが受け入れるまでに要する回数より特定回数多くなるまでは繰り返すという構成にしておくことが性格を属性として分析した結果に取るべき対応として推薦される場合にはその対応を対話情報選択部が選択するルールとすることが考えられる。つまり、このようなあきらめないルール（サブステップ、サブルール）又はあきらめないプロセスをユーザ別対話情報選択ルールに含ませる、又はこれによって構成するプロセスを含むようにすることができる。 In addition, although the user always responds from a negative comment, he / she is unwilling to refuse if asked repeatedly, or he / she hates over-emphasis although it is not so disgusting as it is, it is the personality of the user that he hates it for the time being. If it is acquired as information etc., it can not be said that the output dialogue information is not effective only by a few negative responses from the user, and the user can accept the output of the same dialogue information on average If it is recommended to repeat the process until it is specified more than the required number of times, if it is recommended as a response to be taken as a result of analyzing the character as an attribute, the response may be a rule for selecting the response by the dialog information selection unit. Conceivable. That is, it is possible to include such a non-yielding rule (sub-step, sub-rule) or a process not giving up in the user-specific dialogue information selection rule, or a process including this.
　＜実施形態１　対話情報選択部＞
　「対話情報選択部」は、取得した健康状況情報と保持されているユーザ別対話情報選択ルールと、に基づいてそのユーザごとの特性に即した対話形式の対話情報を対話情報蓄積部から選択する。対話形式の違いごとに対話情報蓄積部に対話情報が蓄積されている場合には、ユーザ別対話情報選択ルールで選択された対話形式と対話内容に合致する対話情報を選択することになる。対話情報蓄積部に、対話形式の違いごとに対話情報が蓄積されておらず、対話形式にこだわらず対話の内容の意味ごとに対話情報を蓄積している場合には、ユーザ別対情報選択ルールによって指定された対話内容に従って対話情報蓄積部から基本となる対話情報を選択し、選択した対話情報をユーザ別対話情報選択ルールに指定された対話形式に合致する対話形式に変換する。この場合に基本となる対話情報は、言葉そのものでなく、一群の言葉の集合を指すものであってもよい。この場合には、感謝の気持ちを表現する対話情報に対して識別情報が付与されており、これを選択して、その後に「ありがとうございます」「ありがとう」「ありがとー」「おおきに」「サンキュー」「Ｔｈａｎｋ　ｙｏｕ」等の表現のいずれかを選択するように構成する。つまり、このようにしてユーザ別対情報選択ルールによって指定された対話内容に従って対話情報蓄積部から基本となる対話情報を選択し、選択した対話情報をユーザ別対話情報選択ルールに指定された対話形式に合致する対話形式に変換するしょりが行われる。以上の作業が対話情報の選択となる。この選択はコンピュータによって瞬時に行われうるように構成する。具体的には、ＳＮＳを介してユーザからの入力を受付けるとそのユーザがＳＮＳの画面を閉じる余裕を与えないでその画面に返信が表示されるていどの速度である。一例としては、平均して１秒以内程度である。 Embodiment 1 Dialogue Information Selection Unit
The “dialog information selection unit” selects, from the dialogue information storage unit, dialogue-type dialogue information conforming to the characteristics of each user based on the acquired health condition information and the user-specific dialogue information selection rule held. . When the dialog information is stored in the dialog information storage unit for each difference in the dialog format, the dialog information matching the dialog format and the dialog content selected by the user-specific dialog information selection rule is selected. In the dialog information storage unit, when the dialog information is not stored for each difference in the dialog format and the dialog information is stored for each meaning of the content of the dialog regardless of the dialog format, the user-by-user vs. information selection rule And select the basic dialogue information from the dialogue information storage unit in accordance with the dialogue content specified by the user, and convert the selected dialogue information into the dialogue form matching the dialogue form specified in the user-by-user dialogue information selection rule. In this case, the basic dialogue information may indicate not a word itself but a group of words. In this case, identification information is given to the dialogue information expressing the feeling of gratitude, and this is selected, and then “thank you”, “thank you”, “thank you”, “big chance”, “thank you” It is configured to select one of expressions such as “Thank you”. That is, in this manner, the dialog information that is the basis is selected from the dialog information storage unit according to the dialog content specified by the user-specific information selection rule, and the selected dialog information is specified in the user-specific dialog information selection rule It is converted to the interactive form that conforms to. The above work is the selection of dialogue information. This selection is configured to be made instantaneously by the computer. Specifically, when an input from a user is accepted through the SNS, the response is displayed on the screen without giving a margin for the user to close the screen of the SNS. As an example, it is about 1 second or less on average.
　＜実施形態１　対話情報出力部＞
　「対話情報出力部」は、選択した対話情報をユーザ識別情報で識別されるユーザに対して前記ＳＮＳを介して出力する。前述のように対話情報出力部が対話情報を出力する速度は、必要な場合にはユーザの入力に即座に応答する速度である。ユーザがＳＮＳ画面を閉じてしまうと、システム側からの発信が既読にならないで放置されるリスクが高まるからである。なお、常に即座に応答する必要はなく、時間をおいて出力される種の発信があってもよい。例えばアドバイスの結果を聞くような会話の場合である。出力するは、ユーザの携帯端末である。出力するＳＮＳは、本件対話式健康促進システム専用のアプリケーションでもよいし、ユーザが日常的に利用している対話式健康促進システム専用ではない、別のシステムによって管理提供されているＳＮＳサービスであってもよい。出力の形式は、文字、イラスト、音声、画像、動画等、情報をユーザに伝達できる手法であれば形式は限定されない。あたかも生身の人間と話しているように感じさせるためには、専用アプリケーションを用いるよりも、日常的に生身の人間とのやり取りで利用しているＳＮＳサービスを利用するほうが、他の人のやり取りの中に混じって自然に本件対話式健康促進システムから出力された対話情報が表示されることになり、効果的である。効果的とは、本件対話式学習促進システムからのアドバイスが、日常的に自然に目につくので、システム（無機的なコンピュータやサーバ）と対話するという意識を強く抱かせないという点が効果的となる理由である。本件対話式学習促進システムからの出力は、出力先のＳＮＳサービスを利用している例えばスマートフォンのステータスバーや、アイコンに未読通知をしないような設定にしたり、チャットヘッドが出現することができないように構成されていると、上記効果を確実化することができるので、より効果的となる。逆に、チャットヘッドなどはスマートフォンなどで直ちに目に付くので本システムとの距離感が小さくなり好ましい。
なお、出力される対話情報は、質問形式を含むもの、アドバイスを含むもの、挨拶、擬音、など、内容も形式も制限されない。 Embodiment 1 Dialogue Information Output Unit
The "dialogue information output unit" outputs the selected dialogue information to the user identified by the user identification information via the SNS. As described above, the speed at which the dialogue information output unit outputs the dialogue information is the speed at which the user's input is promptly responded to if necessary. If the user closes the SNS screen, the risk of leaving from the system side not being read is increased. In addition, it is not necessary to always respond immediately, and there may be a kind of transmission that is output with time. For example, in the case of a conversation in which the result of the advice is heard. The output is a portable terminal of the user. The SNS to be output may be an application dedicated to the interactive health promotion system or an SNS service managed and provided by another system that is not dedicated to the interactive health promotion system that the user routinely uses. It is also good. The format of the output is not limited as long as the information can be transmitted to the user, such as characters, illustrations, sounds, images, and moving pictures. In order to make you feel as if you are talking to a real person, it is better to use the SNS service that you use on a daily basis with real people, rather than using dedicated applications. It is effective that the dialogue information output from the interactive health promotion system will be displayed naturally mixedly. Effective is that the advice from the interactive learning promotion system is found naturally on a daily basis, so it is effective not to have a strong sense of interacting with the system (inorganic computer or server). It is the reason to become. The output from the interactive learning promotion system is set so as not to give unread notification to the status bar or icon of the smartphone using the SNS service of the output destination, for example, or the chat head can not appear. If configured, it is more effective because the above effect can be ensured. On the contrary, since a chat head etc. is immediately visible with a smart phone etc., a feeling of distance with this system becomes small, and is preferable.
Note that the dialogue information to be output includes ones including a question form, ones including an advice, a greeting, an anomalous sound, etc., and neither the content nor the form is limited.
　さらに、いつも同じ方法による出力形式ではなく、文字、イラスト、音声、画像、動画、振動（以上はＳＮＳを介したもののほか、電子メール、ＡＶ機器によるものも含まれる。）、ロボットの動作・音声・表情、ディスプレイ内のアニメーションキャラクター（実物に近い人間を擬したものであってもよく、さらにその人間がユーザの教師、講師、友人、親戚、あるいは宣伝広告やキャンペーンに採用された芸能人・有名人に擬していてもよい）の動作・音声・表情、プロジェクション映像のキャラクターの動作・音声・表情、室温、照明等、複数の出力方法を組み合わせることが、生身の人間とのやりとりに近似して、より効果的となる（出力形式に関するこの例示は本明細書の全体（実施形態１から実施形態３９）を通じて適用される。）。したがって、出力インターフェイスに文字として対話情報として出力したり記録された音声データを対話情報として出力するだけでなく、音声通話機能を用いたリアルタイムでの対話情報の出力（自動音声による発話）と応答対話情報の取得が行われてもよい。さらに、ある人が音声通話を用いて電話相談窓口（メンタルヘルス窓口、自殺防止窓口等が主として想定されるが、肉体的な健康に関しての相談窓口も含まれる）にアクセスをした場合に、その人の音声通話を本対話式健康促進システムを利用する通信機器によって受信した場合に、出力側に本対話式購入促進システムの利用登録がなかった場合でも、直ちに電話番号等を用いてユーザ識別情報を生成保持し、その人物をゲストユーザとして音声通話を受信する対話式健康促進システムに認識させることで、ゲストユーザに対して本音声対話式健康促進システムを介した対話情報の音声による出力が可能となるような構成にすることも可能である。この場合、ゲストユーザは遠隔地にある対話式健康促進システムに対して音声通話を通じてユーザ登録を行っているにすぎない。ユーザ端末自体が本対話式健康促進システムを起動させている場合と区別するためにゲストユーザとして定義しているが、一度目の音声通話の時点でそのユーザを発信電話番号、音声、氏名、会員ナンバー、などのユーザ属性と関連付けて識別番号を与えておくことで、次回以降の音声通話において、過去の音声通話によって蓄積されたゲストユーザの属性情報（好み、話し方、間の取り方、趣味・思考等）を反映させた対話情報を出力することがか可能である。この場合の対話情報の出力は、音声電話を受信しているユーザが所持していないＳＮＳ利用可能端末で生成され、音声として出力されたものが電話を通じてゲストユーザに届けられることになることから、ＳＮＳを介した対話情報の出力といえる。 Furthermore, the output format is not always the same method, but characters, illustrations, sounds, images, moving images, vibrations (The above includes SNS messages, emails, AV devices, etc.), robot operation and sound. -An expression, an animated character in a display (which may simulate a human being close to the real thing, and the human being may be a teacher, a lecturer, a friend, a relative, or a celebrity or a celebrity employed in an advertisement or campaign) The combination of multiple output methods such as motion / voice / expression of the character, motion / voice / expression of the character of the projection video, room temperature, lighting, etc. may be similar to interaction with a real human, (This example relating to the output format is applied throughout the present specification (embodiments 1 to 39). .). Therefore, in addition to outputting voice data as dialogue information as characters and outputting it as dialogue information to the output interface as dialogue information, it also outputs real-time dialogue information (speech by automatic speech) and response dialogue using the voice call function. Information may be obtained. In addition, when a person accesses a telephone consultation service (a mental health service, a suicide prevention service, etc. is mainly assumed, but a consultation service regarding physical health is also included) using voice communication, that person If you receive a voice call from a communication device that uses this interactive health promotion system, even if there is no usage registration for this interactive purchase promotion system on the output side, the user identification information is immediately used using the telephone number etc. It is possible to output voice information of the dialogue information to the guest user via the voice interactive health promotion system by generating and holding the person and making the person recognized as a guest user in the interactive health promotion system to receive the voice call. It is also possible to make it the following composition. In this case, the guest user is only performing user registration to the interactive health promotion system at a remote location through a voice call. Although the user terminal is defined as a guest user to distinguish it from the case where the interactive health promotion system is activated, the user is called the calling phone number, voice, name, member at the time of the first voice call. By assigning identification numbers in association with user attributes such as numbers, etc., the guest user's attribute information (preferences, how to talk, how to make sense, hobbies, etc.) accumulated in the past voice calls in the next and subsequent voice calls. It is possible to output dialogue information in which thinking etc. is reflected. In this case, the output of the dialogue information is generated by the SNS enabled terminal which is not possessed by the user receiving the voice telephone, and the output as the voice is delivered to the guest user through the telephone. It can be said that it is an output of dialogue information via SNS.
　健康促進アドバイスとして出力される対話情報は、健康療法に基づく運動を促す対話情報であったり、運動の習慣化を促すような対話情報であったり、あるいは、サプリや薬を定期的に摂取するように摂取の時間が来た旨のお知らせや摂取を促すような対話情報であったり、ユーザの健康促進をさらに効率よくするために運動用品、サプリメント、薬などの購入を促すような対話情報等、健康促進につながるすべてのアドバイスがこれに含まれる。 The dialogue information output as health promotion advice is dialogue information that encourages exercise based on health therapy, dialogue information that encourages habituation of exercise, or regular intake of supplements and medicines Such as a notice that the time for intake has come and dialogue information that encourages intake, and dialogue information that encourages the purchase of exercise products, supplements, drugs, etc., in order to further promote the user's health, etc. This includes all the advice that leads to health promotion.
　対話情報のＳＮＳを介した出力は、ＳＮＳに参加しているユーザの友達等の発言としての出力である。従って、できるだけユーザに対してユニークに見える友達等としての会話であることが好ましいことから、多数の名前を利用してできるだけユーザ間で同じ名前が重ならないようにすることが好ましい。あるいは名前は最初のユーザ登録時に自由に設定できるようにしてもよい。また、会話選択に利用される要素を決定する属性をユーザ登録時に自由に設定できるようにしてもよい。例えば、システムである友達等の性別、年齢、性格、アバター、服装、生活リズム、趣味、などである。さらにシステムである友達等は必ずしも一人である必要はなく、複数の友達等が一のユーザに対して会話するように設計してもよい。そして、選択される会話には、ユーザとシステムである友達等との間の会話のみならず、システムである友達等間での会話がなされてもよい。この場合にはユーザは友達等の間で交わされる会話から健康維持、促進のための動機付け等を得られるようになされる。また、ユーザ端末の位置情報システムなどと連携して、位置情報に応じてシステムである友達等の発言を切換えるように構成してもよい。 The output of the dialogue information through the SNS is an output as a speech of a friend or the like of the user participating in the SNS. Therefore, since it is preferable to have a conversation as a friend or the like that looks as unique as possible to the user, it is preferable to use multiple names so that the same name does not overlap between users as much as possible. Alternatively, the name may be freely set at the time of initial user registration. Further, an attribute for determining an element used for conversation selection may be freely set at the time of user registration. For example, gender, age, personality, avatar, clothes, life rhythm, hobbies, etc. of friends who are the system. Furthermore, it is not necessary that one friend is a system, and a plurality of friends may be designed to talk to one user. Then, not only the conversation between the user and the friend who is the system but also the conversation between the friend who is the system may be performed as the selected conversation. In this case, the user is made to obtain health maintenance, promotion motivation, etc. from conversations between friends etc. Further, in cooperation with the position information system of the user terminal or the like, the speech of a friend or the like who is the system may be switched according to the position information.
　例えば、大阪に出かけたときには大阪弁の友達等が現れ、九州に出かけたときには九州弁の友達等が現れるといった具合である。この際には大阪の友達等は、前回大阪に出かけたときから久しぶりに会った、というようなシチュエーション（面会タイミングシチュエーション）を前提として会話を選択するように構成してもよい。例えば、「前会った時からずいぶん太ったねー」などという会話である。また、複数のユーザにわたって共通のシステムである友達等を設定することも効果的である場合がある。例えば「前回一緒に運動した後、田中さんは３キロやせたそうだけど、あなたは～？」のような比較会話や、「今から田中さんがマラソンするらしいけど一緒にやってみたら～？」のような勧誘会話が可能となるからである。なお、友達等は必ずしもアバターが人である必要はなく、哺乳類、魚、虫、物、などいろいろ設定してよい。また、アバターは設定に応じて写真、動画、ピクチャーなどをユーザに送信するように設定してもよい。例えば食事の写真、風景写真、理想的な体の写真、運動の仕方を説明する動画、などである。さらに、利用を進める器具、サプリメント、などの情報を送ってきてもよい。さらに、システムである友達等は、アクシデントに見舞われる、人生の階段を上る、と言うような時間経過に応じて出来事を設定したアバタースケジュールを用いて臨場感、温かみ、人間味を出してもよい。例えば、風邪をひいた、学校に入学した、学校を卒業した、恋人ができた、恋人にふられた、結婚した、離婚した、ギックリ腰になった、太った、やせた、手術した、遅刻した、乗り間違えた、寝坊した、飲みすぎた、食べ過ぎた、子供が生まれた、昇進した、転職した、定年になった、孫が生まれた、などである。 For example, when going out to Osaka, friends of Osaka Ben appear, and when going out to Kyushu, friends of Kyushu Ben appear. In this case, a friend or the like in Osaka may be configured to select a conversation on the assumption that a situation (a meeting timing situation) where he has met for a long time since he went to Osaka last time. For example, it is a conversation such as "It has been very fat since we first met." In addition, it may be effective to set a friend or the like which is a common system among a plurality of users. For example, "After you worked with you last time, Mr. Tanaka lost 3 kilos, but you're like a comparison?" Or "If Mr. Tanaka is going to marathon from now, try it together?" It is because such an invitation conversation becomes possible. In addition, a friend etc. do not necessarily need to be avatars as a person, and may set various things, such as a mammal, a fish, an insect, and a thing. Further, the avatar may be set to transmit a picture, a moving picture, a picture or the like to the user according to the setting. For example, pictures of meals, landscapes, pictures of an ideal body, videos explaining how to exercise, etc. In addition, you may send information such as equipment, supplements, etc., to promote use. Furthermore, the friends who are the system may give a sense of presence, warmth and humanity by using an avatar schedule in which events are set according to the passage of time, such as going up the stairs of life, to be experienced as an accident. For example, having a cold, having entered a school, having graduated from a school, having a lover, being lover-in-law, getting married, getting divorced, getting licked, fat, skinny, surgery, being late, Mistakes, oversleeping, over-drinking, over-eating, children were born, promoted, changed jobs, retired, grandchildren, etc.
＜実施形態１　ハードウェア構成＞
　図４は実施形態１のハードウェア構成を示す図である。この図にあるように本発明は、基本的に汎用コンピュータとプログラム、各種デバイスで構成することが可能である。コンピュータの動作は基本的に不揮発性メモリに記録されているプログラムやデータを主メモリにロードして、主メモリとＣＰＵと各種デバイスとで処理を実行していく形態をとる。デバイスとの通信は、バス線と繋がったインターフェイスを介して行われる。この図にあるように実施形態１のハードウェアを構成するプログラムとして、「ユーザ識別情報保持プログラム」は、ユーザ識別情報を保持する。「ＳＮＳユーザ関連情報取得プログラム」は、ＳＮＳユーザ関連情報を取得する。これは、ＳＮＳとのインターフェイスプログラムを介して行われる。「分析ルール保持プログラム」は、分析ルールを保持する。「健康状況情報分析取得プログラム」は、分析ルールに基づいた分析に基づいて健康状況情報を取得する。「対話情報蓄積プログラム」は、対話情報を蓄積する。「ユーザ別対話情報選択ルール保持プログラム」は、ユーザ別に対話情報選択ルールを保持する。「対話情報選択プログラム」は、取得した健康状況情報と保持されているユーザ別対話情報選択ルールとに基づいて蓄積されている対話情報の中から適切な対話情報を選択する。「対話情報出力プログラム」は、選択された対話情報を出力する。プログラムのより詳細な動作は各構成の説明で記載される動作を実現するものであり詳細はそちらを参照のこと。これら不揮発性メモリからメインメモリにコピーされた一連のプログラムの実行命令に基づいてこれらのプログラムが順次又は常時実行される。なお、データとしては、ユーザ識別情報（場合によりこれに関連付けられるユーザ属性情報）、外部情報（ＳＮＳユーザ関連情報を含む）、分析ルール、健康状況情報、対話情報、ユーザ別対話情報選択ルール、選択した対話情報、図示しない通信など各種の設定情報等が不揮発性メモリに保持され、主メモリにロードされ、一連のプログラム実行に際して参照され、利用される。
　なおこのコンピュータは不揮発性メモリ、主メモリ、ＣＰＵ、インターフェイスがバスラインに接続されて相互に通信可能に構成される。また場合により、ユーザ等が利用するスマートフォン、携帯電話、タブレット端末、パーソナルコンピュータ、テレビ、ラジオ、ロボット、腕時計、ウエアラブル端末（メガネ、首輪、指輪、リストバンド、帽子など）、ゲーム端末、街頭に設置される情報端末、移動手段内の端末（電車のテレビ端末、カーナビゲーションシステム）、カメラ、ディスプレイ、モニター、プロジェクター、映像生成装置、スピーカー（ＡＩスピーカーを含む。）、イヤホン、ヘッドフォン、バイブレータ、照明、エアコン、ＷＩＦＩ機器、インターネット接続装置、各種家電製品等及びこれらと通信を行うためのインターフェイスが含まれる場合がある。この点は、本明細書の全体（実施形態１から実施形態３９（方法とプログラムを除く））に適用される。 First Embodiment Hardware Configuration
FIG. 4 is a diagram showing a hardware configuration of the first embodiment. As shown in this figure, the present invention can basically be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. As shown in this figure, the "user identification information holding program" holds user identification information as a program constituting the hardware of the first embodiment. The "SNS user related information acquisition program" acquires SNS user related information. This is done via an interface program with the SNS. The "analysis rule holding program" holds analysis rules. The “health condition information analysis acquisition program” acquires health condition information based on analysis based on analysis rules. The "dialog information storage program" stores dialogue information. The "user-by-user dialog information selection rule holding program" holds a dialog information selection rule for each user. The “dialogue information selection program” selects appropriate dialogue information from among the dialogue information accumulated based on the acquired health condition information and the held user dialogue information selection rule. The "dialog information output program" outputs the selected dialogue information. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory. As data, user identification information (user attribute information sometimes associated with it), external information (including SNS user related information), analysis rule, health status information, dialogue information, dialogue information selection rule by user, selection The dialogue information, various setting information such as communication not shown, and the like are held in the non-volatile memory, loaded into the main memory, and referred to and used in executing a series of programs.
In this computer, non-volatile memory, main memory, CPU, and interface are connected to a bus line so as to be able to communicate with each other. In some cases, smartphones, mobile phones, tablet terminals, personal computers, TVs, radios, robots, wristwatches, wearable terminals (glasses, collars, rings, wristbands, hats, etc.) used by users etc., game terminals, installed on streets Information terminals, terminals in mobile means (TV terminals for trains, car navigation systems), cameras, displays, monitors, projectors, video generation devices, speakers (including AI speakers), earphones, headphones, vibrators, lights, Air conditioners, WIFI devices, Internet connection devices, various home appliances, etc., and interfaces for communicating with them may be included. This point applies to the entire specification (Embodiments 1 to 39 (except the method and program)).
＜実施形態１　処理の流れ＞
　図５は、実施形態１の最も基本的な構成の処理の流れを示す図である。この図に示すように、ユーザが利用している一以上のＳＮＳの識別情報を保持するユーザ識別情報保持ステップ（０５０１）、外部情報であるユーザのＳＮＳ関連情報を取得するためのＳＮＳユーザ関連情報取得ステップ（０５０２）、外部情報からユーザの健康状況を分析するためのルールである分析ルールを保持する分析ルール保持ステップ（０５０３）、外部情報と分析ルールとからユーザの健康状況情報を取得するための健康状況情報分析取得ステップ（０５０４）、インターネット上等で用いられている無数の言語や会話に関する情報を蓄積するための対話情報蓄積ステップ（０５０５）、外部情報から取得されるユーザの個性を反映して、ユーザの健康状況情報に則した健康促進アドバイスを選択するためのユーザ別対話情報選択ルールを保持するためのユーザ別対話情報選択ルール保持ステップ（０５０６）、対話情報蓄積部に蓄積された対話情報とユーザ別対話情報選択ルール保持部が保持するユーザ別対話情報選択ルールとから、ユーザの健康状況と個性に適した対話情報を選択するための対話情報選択ステップ（０５０７）、対話情報選択部によって選択された対話情報をユーザの形態端末等に出力するための対話情報出力ステップ（０５０８）と、からなる。 <Flow of Embodiment 1>
FIG. 5 is a diagram showing the process flow of the most basic configuration of the first embodiment. As shown in this figure, a user identification information holding step (0501) for holding identification information of one or more SNSs used by the user, SNS user related information for acquiring SNS related information of the user as external information Acquisition step (0502), analysis rule holding step (0503) for holding analysis rule which is a rule for analyzing the user's health condition from external information, and for acquiring user's health condition information from external information and analysis rule Health condition information analysis acquisition step (0504), dialogue information accumulation step (0505) for accumulating information on countless languages and conversations used on the Internet etc., reflecting the individuality of the user acquired from external information User-specific dialogue information to select health promotion advice according to the user's health status information User-specific dialog information selection rule holding step (0506) for holding the rule, and the user-specific dialog information selection rule held by the user-specific dialog information selection rule holding unit Dialog information selection step (0507) for selecting dialog information suitable for the health condition and personality of the person, and dialog information output step (0508) for outputting the dialog information selected by the dialog information selection unit to the user's mobile terminal etc. And consists of.
＜実施形態２＞
＜実施形態２　概要＞
　本実施形態における対話式健康促進システムは、実施形態１の構成に加えて、外部情報としてユーザのブラウザ検索履歴に関する情報を取得することができる。 Second Embodiment
Embodiment 2 Outline
In addition to the configuration of the first embodiment, the interactive health promotion system according to the present embodiment can acquire information on the browser search history of the user as external information.
＜実施形態２　発明の構成＞
　実施形態２の対話式健康促進システムの構成の一例は、図６に示すように、ユーザ識別情報保持部（０６０１）、ＳＮＳユーザ関連情報取得部（０６０２）、ブラウザ検索履歴ユーザ関連情報取得部（０６０３）、分析ルール保持部（０６０４）、健康状況情報分析取得部（０６０５）、対話情報蓄積部（０６０６）、ユーザ別対話情報選択ルール保持部（０６０７）、対話情報選択部（０６０８）、対話情報出力部（０６０９）と、からなる。以下では、実施形態１との共通の構成の説明は省略し、本実施形態に特徴的な構成について説明する。 Embodiment 2 Configuration of the Invention
As an example of the configuration of the interactive health promotion system of the second embodiment, as shown in FIG. 6, a user identification information holding unit (0601), an SNS user related information acquisition unit (0602), a browser search history user related information acquisition unit ( 0603), analysis rule holding unit (0604), health condition information analysis acquiring unit (0605), dialogue information storage unit (0606), user-by-user dialogue information selection rule holding unit (0607), dialogue information selection unit (0608), dialogue And an information output unit (0609). In the following, the description of the configuration common to the first embodiment is omitted, and the configuration characteristic to the present embodiment will be described.
＜実施形態２　構成の説明＞
＜実施形態２　ブラウザ検索履歴ユーザ関連情報取得部＞
　「ブラウザ検索履歴ユーザ関連情報取得部」は、ユーザ識別情報と関連付けて、ユーザが本件対話式健康促進システムを利用している携帯電話、スマートフォン、タブレット端末、パソコン、等の通信端末を用いて、ユーザが行ったブラウザ検索履歴を外部情報として取得する。「ブラウザ検索履歴ユーザ関連情報」には、ユーザがネットを介して購入した商品の情報や、購入しないまでも閲覧していた商品の情報、検索していたサイト情報、検索していた検索ワード、検索していた場所やイベントに関する情報、といった、ユーザが通信端末を用いて行ったありとあらゆる活動内容が情報として含まれている。 <Description of the configuration of the second embodiment>
Second Embodiment Browser Search History User-Related Information Acquisition Unit
The “browser search history user related information acquisition unit” uses a communication terminal such as a mobile phone, a smartphone, a tablet terminal, a personal computer, etc., in which the user uses the interactive health promotion system, in association with the user identification information. Acquire the browser search history made by the user as external information. “Browser search history user related information” includes information of a product purchased by the user via the Internet, information of a product browsed even if not purchased, site information searched, search word searched, Information on all the activities performed by the user using the communication terminal, such as information on places searched and information on events, is included.
　ブラウザ検索履歴ユーザ関連情報を取得し、健康状況情報として分析することで、例えば、ユーザの買い物量が増えている場合には、ストレスが溜まっている傾向にあるという健康状況情報を取得することができる。例えば、ユーザのブラウザ検索履歴によると、季節限定フェアの食べ物の情報を頻繁に検索している場合には、カロリー摂取量が過多になっている傾向があるので、肥満傾向にあるとの健康状況情報を取得することができる。例えば、ユーザが腰痛や肩こり対策といった情報サイトを検索している情報が取得された場合には、ユーザが腰や肩に痛みを感じている状態にある、あるいは、腰や肩に違和感を持っている状態にある、という健康状況情報を取得することができる。ブラウザ検索履歴ユーザ関連情報からは、ユーザがその時気になっていること、悩んでいること、興味を持っていること、その日にやろうと思っていること、といった、まさにその時であったりその周辺時点でのユーザの行動や状態を示す外部情報が取得できる。さらにブラウザ検索の活動は、ユーザ以外の者が関与しない閉鎖された空間として実行される物なので、ユーザ自身も気づかないような心の状態や、人に話すほどではない、あるいは人に話すことができないようなユーザの心の状態や体の状態についての情報を取得することが可能となる。ブラウザ検索履歴ユーザ関連情報を本件対話式健康促進システムが取得することによって、ユーザの深層心理に働きかける、より効果的な対話情報を出力することが可能となる。 Browser search history By acquiring user related information and analyzing it as health condition information, for example, when the user's shopping volume is increasing, it is possible to obtain health condition information that stress tends to be accumulated. it can. For example, according to the browser search history of the user, when the information of food of the season limited fair is searched frequently, the calorie intake amount tends to be excessive, and thus the health condition that it is obese tendency Information can be obtained. For example, when the user is acquiring information searching for information sites such as back pain and stiff shoulders, the user is in a state of feeling pain in his or her hip or shoulder, or he feels discomfort in his or her hip or shoulder. You can get health status information that you are in Browser search history From the user related information, it is the moment or so that the user is concerned at that time, that they are annoyed, that they are interested, that they want to do on that day, etc. It is possible to acquire external information that indicates the user's behavior or state in Furthermore, since the browser search activity is executed as a closed space in which no one other than the user is involved, it is possible for the user not to notice the state of mind, to speak to a person, or to speak to a person It becomes possible to acquire information about the user's mental state and physical state that can not be done. When the interactive health promotion system acquires browser search history user related information, it is possible to output more effective dialogue information that works on the user's deep psychology.
　レストランの検索サイトを利用した履歴がある場合には、その検索サイトで訪問したレストラン（例えば、「行ってみたい」でなく「行った」のタグが関連付けられているレストラン、ネット上から予約をしたレストラン）の情報を取得して摂取食品成分の予測に利用する。摂取食品成分は、例えばその検索サイト上に掲示されている食品の写真や、メニューを分析して予測に利用する。従ってこの分析には画像分析などの手段を用いる。
　旅行の検索サイトを利用した履歴がある場合には、実際の申し込みを検出して、その申し込みを行った旅行の道程を分析し消費カロリーや摂取カロリー、摂取食品成分を分析し健康状況情報の取得に役立てる。例えば旅行の道程に参道の登り降りがある場合には、地図情報を利用してその高低差で消費されるエネルギーを予測する。また旅行に定められた食事メニューがある場合にはそのメニューから摂取カロリーや摂取食品成分を予測する。
　また、移動のために公共交通機関（電車、バス、飛行機、徒歩での出発地から目的地への移動計画）の検索サイトを利用する場合には、決定された検索ルートの移動のために消費されるカロリーなどを予測して健康状況情報の取得に役立てる。さらにネット上で購入した商品情報に基づいて予測することも考えられる。例えばネットスーパーの購買履歴によって、所定期間に消費されるであろう食品の情報から摂取カロリー情報や、摂取食品成分情報を取得できる。またネット上で購入した運動関連具（腹筋を鍛える道具、筋肉をつける道具、ダイエットに利用される道具、その他）の情報に基づいて一日の平均消費エネルギーの予測をすることも考えられる。その他ブラウザ検索履歴ではないが、キーボードのタイピング量を取得して消費カロリーを予測することも考えられる。 If there is a history of using a restaurant search site, the restaurant visited on the search site (for example, a restaurant with a tag of "I went" instead of "I want to go") is booked from the internet Obtain information from the restaurant) and use it to predict food intake. The ingested food component is used, for example, by analyzing a picture of the food posted on the search site and a menu for prediction. Therefore, means such as image analysis is used for this analysis.
If there is a history of using the travel search site, it detects the actual application, analyzes the course of the travel to which the application has been made, analyzes the calories consumed, calories consumed, food ingredients consumed, and acquires health status information To help. For example, if there is climbing of the approach road in the travel route, the energy consumed by the elevation difference is predicted using map information. In addition, when there is a meal menu defined for travel, the calorie intake and the food component ingested are predicted from the menu.
In addition, when using a search site for public transportation (trains, buses, planes, travel plans from the departure place to the destination on foot) for travel, it consumes for the movement of the determined search route It is used to predict the calories consumed etc. and to obtain health status information. Furthermore, it is also conceivable to make a prediction based on product information purchased on the Internet. For example, it is possible to acquire the intake calorie information and the intake food ingredient information from the information of the food which will be consumed in a predetermined period by the purchase history of the online supermarket. It is also conceivable to predict the average energy consumption per day based on the information of exercise related tools purchased on the net (tool for training abs, tools for making muscles, tools for dieting, etc.). In addition to the browser search history, it is also conceivable to obtain the typing amount of the keyboard to predict the calorie consumption.
　＜実施形態２　ハードウェア構成＞
　図７は実施形態２のハードウェア構成を示す図である。この図にあるように本発明は、基本的に汎用コンピュータとプログラム、各種デバイスで構成することが可能である。コンピュータの動作は基本的に不揮発性メモリに記録されているプログラムやデータを主メモリにロードして、主メモリとＣＰＵと各種デバイスとで処理を実行していく形態をとる。デバイスとの通信は、バス線と繋がったインターフェイスを介して行われる。この図にある実施形態２のハードウェアを構成するプログラムのうち実施形態１と共通の働きをするプログラムについてはすでに説明済みであるから説明を省略する。本実施形態で新たに加わる「ブラウザ検索履歴ユーザ関連情報取得プログラム」は、ブラウザ検索履歴をユーザ関連情報として取得する。プログラムのより詳細な動作は各構成の説明で記載される動作を実現するものであり詳細はそちらを参照のこと。これら不揮発性メモリからメインメモリにコピーされた一連のプログラムの実行命令に基づいてこれらのプログラムが順次又は常時実行される。なお、データとしては、ユーザ識別情報（場合によりこれに関連付けられるユーザ属性情報）、外部情報（ＳＮＳユーザ関連情報、ブラウザ検索履歴ユーザ関連情報を含む）、分析ルール、健康状況情報、対話情報、ユーザ別対話情報選択ルール、選択した対話情報、図示しない通信など各種の設定情報等が不揮発性メモリに保持され、主メモリにロードされ、一連のプログラム実行に際して参照され、利用される。 Second Embodiment Hardware Configuration
FIG. 7 is a diagram showing a hardware configuration of the second embodiment. As shown in this figure, the present invention can basically be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. Among the programs constituting the hardware of the second embodiment shown in this figure, the program having the same function as that of the first embodiment has already been described, and hence the description thereof is omitted. The “browser search history user related information acquisition program” newly added in the present embodiment acquires a browser search history as user related information. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory. As data, user identification information (user attribute information associated with it in some cases), external information (including SNS user related information, browser search history user related information), analysis rules, health status information, dialogue information, user Different dialogue information selection rules, selected dialogue information, various setting information such as communication not shown, etc. are held in the non-volatile memory, loaded into the main memory, referenced and used in executing a series of programs.
　＜実施形態２　処理の流れ＞
　図８は、実施形態２の最も基本的な構成の処理の流れを示す図である。この図に示すように、ユーザ識別情報保持ステップ（０８０１）、ＳＮＳユーザ関連情報取得ステップ（０８０２）、外部情報としてユーザのブラウザ検索履歴を取得するためのブラウザ検索履歴ユーザ関連情報取得ステップ（０８０３）、分析ルール保持ステップ（０８０４）、健康状況情報分析取得ステップ（０８０５）、対話情報蓄積ステップ（０８０６）、ユーザ別対話情報選択ルール保持ステップ（０８０７）、対話情報選択ステップ（０８０８）、対話情報出力ステップ（０８０９）と、からなる。 <Flow of Embodiment 2>
FIG. 8 is a diagram showing the flow of processing of the most basic configuration of the second embodiment. As shown in this figure, user identification information holding step (0801), SNS user related information acquisition step (0802), browser search history user related information acquisition step for acquiring the user's browser search history as external information (0803) , Analysis rule holding step (0804), health condition information analysis acquiring step (0805), dialogue information accumulation step (0806), user-by-user dialogue information selection rule holding step (0807), dialogue information selection step (0808), dialogue information output And step (0809).
　＜実施形態３＞
　＜実施形態３　概要＞
　本実施形態における発明は、実施形態１又は実施形態２の構成に加えて、ユーザに関連するニュース情報を取得する。 Embodiment 3
<Embodiment 3 Outline>
The invention in this embodiment, in addition to the configuration of the first embodiment or the second embodiment, acquires news information related to a user.
　＜実施形態３　発明の構成＞
　実施形態３の対話式健康促進システムの構成の一例は、図９に示すように、ユーザ識別情報保持部（０９０１）、ＳＮＳユーザ関連情報取得部（０９０２）、ニュースユーザ関連情報取得部（０９０３）、分析ルール保持部（０９０４）、健康状況情報分析取得部（０９０５）、対話情報蓄積部（０９０６）、ユーザ別対話情報選択ルール保持部（０９０７）、対話情報選択部（０９０８）、対話情報出力部（０９０９）と、からなる。以下では、実施形態１又は実施形態２との共通の構成の説明は省略し、本実施形態に特徴的な構成について説明する。 <Embodiment 3 Configuration of the Invention>
As an example of the configuration of the interactive health promotion system according to the third embodiment, as shown in FIG. 9, a user identification information holding unit (0901), an SNS user related information acquisition unit (0902), a news user related information acquisition unit (0903) Analysis rule holding unit (0904), health condition information analysis acquiring unit (0905), dialogue information storage unit (0906), user-by-user dialogue information selection rule holding unit (0907), dialogue information selection unit (0908), dialogue information output Part (0909) In the following, the description of the configuration common to the first embodiment or the second embodiment is omitted, and the configuration characteristic to the present embodiment will be described.
＜実施形態３　構成の説明＞
＜実施形態３　ニュースユーザ関連情報取得部＞
　「ニュースユーザ関連情報取得部」は、ユーザ識別情報と関連付けてニュース情報を外部情報として取得する。ニュースユーザ関連情報は、ＳＮＳユーザ関連情報から取得されたユーザが興味のある出来事に関するニュースや、ユーザの住居の近く、会社の近く等の活動の拠点となる地区の近隣での出来事に関するニュースや、ユーザが登録している情報提供サイトのニュース、ユーザが所在する地域の天候ニュース（天気予報を含む）等が考えられる。ニュースユーザ関連情報は、対話の形式や健康状況情報に直接関連するものではないが、ユーザの健康状態を多次元的に分析する上で重要な役割を果たす情報である。例えば、「インフルエンザの流行が始まった」とのニュースがある場合には、分析ルールに基づいて得られる健康状況情報の一例としては、「インフルエンザに感染するリスクがある。」「疲れが溜まっているので、インフルエンザに感染するリスクが高い。」などである。「花粉の飛散量が過去最大」とのニュースがある場合には、分析ルールに基づいて得られる健康状況情報としては、「花粉症の症状が例年より悪化するリスクあり」「新たな花粉症の症状を発症するリスクあり」などである。「ＰＭ２．５の発生がある。」とのニュースがある場合には、分析ルールに基づいて得られる健康状況情報の一例としては、「喘息を発症するリスクあり。」などである。「Ｏ－１５７が発生した。」とのニュースがある場合に分析ルールに基づいて得られる健康状況情報としては、「生ものを食べる時には、Ｏ－１５７の感染リスクがある。」「感染原因となる店舗の系列店舗での食事は、Ｏ－１５７の感染リスクが高い。」などである。「黄砂が日本に届く。」とのニュースがある場合には、分析ルールに基づいて得られる健康状況情報の一例としては、「喘息を発症するリスクがあります。」「普段の喘息の症状がさらに悪化するリスクがある。」などである。「ひ蟻が発見された。」とのニュースがある場合には、分析ルールに基づいて得られる健康状況情報の一例としては、「素足を出すサンダルなどを着用すると、ひ蟻に刺されるリスクがある。」などである。 <Description of the configuration of the third embodiment>
<Third Embodiment News User Related Information Acquisition Unit>
The "news user related information acquisition unit" acquires news information as external information in association with user identification information. News user related information includes news about events in which the user is interested, obtained from SNS user related information, and news about events in the vicinity of the district that is the base of activities such as near the user's residence or near the company, The news of the information providing site registered by the user, the weather news (including the weather forecast) of the area where the user is located, etc. may be considered. The news user related information is not directly related to the type of dialogue or health status information, but is information that plays an important role in multidimensional analysis of the user's health status. For example, if there is a news that "influenza epidemic has started", one example of health status information obtained based on the analysis rule is "There is a risk of getting influenza,""I'mtired." Therefore, there is a high risk of getting influenza. If there is a news that "the amount of scattering of pollen is the largest in the past", as health status information obtained based on the analysis rule, "There is a risk that symptoms of hay fever will worsen from the previous year""New hay fever There is a risk of developing symptoms. When there is a news that "the occurrence of PM 2.5 occurs", one example of the health status information obtained based on the analysis rule is "with risk of developing asthma" and the like. As health status information obtained based on the analysis rule when there is a news that "O-157 has occurred.""When eating raw food, there is a risk of infection with O-157.""The cause of infection The food at the affiliated stores of such stores has a high risk of infection with O-157. If there is a news that "yellow sand reaches Japan," there is a risk of developing asthma, as an example of health status information obtained based on the analysis rules. There is a risk of deterioration. If there is a news that “an ant has been found,” as an example of health status information obtained based on the analysis rules, “If you wear bare-footed sandals etc, the risk of being stung by an ant is There is.
　ニュースユーザ関連情報は、健康状況情報とは直接関係しないが、健康促進アドバイスの内容に反映させることも有効である。ユーザが興味を持っている分野に関係するイベントや関係する出来事と関連付けた健康促進アドバイスであれば、ユーザがアドバイスに従って健康促進行為を行う可能性が高まる。また、ユーザの住居の近くでお祭りがあったり、フリーマーケットがあったり、花火大会があったりといったイベントごとがある場合には、いつものランニングルートに通行規制があったり、人通りが多くて思うようにランニングができない可能性が有るので、別のルートでのランニングを提案したり、その日はランニングをせずに室内でストレッチや筋肉トレーニングを行うことをアドバイスするといったことが考えられる。あるいは、ユーザが登録しているショップや雑誌などの情報提供サイトに、新商品の案内などが出ている場合には、新商品を見に行く途中に寄り道をして散歩をすることを進めてみたり、近場にある健康食品を販売しているお店でランチをすることをアドバイスするといったことが考えられる。単にユーザに運動やおすすめの食事をアドバイスするだけでは、やり取りに面白みがなく、ユーザが本件対話式健康促進システムから人間らしさを感じにくかったり、いつも同じやり取りに本件健康促進システムの利用を継続できなくなってしまう恐れがある。しかし、身近なイベントごとや、ユーザの気になっている事柄に結び付けて、休日の過ごし方のモデル提案や、おすすめのお出かけスポット等と絡めた健康促進アドバイスをできるように構成しておくと、ユーザが楽しんで健康促進行動をとることが可能となるし、機械的なやりとりではなく人間らしいやり取りをしているようにユーザに認識させやすくなる。 The news user related information is not directly related to the health condition information, but it is also effective to reflect it on the content of the health promotion advice. If the health promotion advice is associated with an event or related event related to the area in which the user is interested, the possibility of the user performing the health promotion action according to the advice increases. Also, if there are events such as festivals, flea markets, and fireworks events near the user's residence, there will be traffic restrictions on regular running routes, and there will be a lot of traffic There is a possibility that you can not run, so it is possible to suggest running on another route, or advise that you do stretching or muscle training indoors without running on that day. Alternatively, if there is information on a new product or the like on an information provision site such as a shop or a magazine registered by the user, the user may go on a walk by taking a walk on the way to see the new product. It is possible to advise you to have lunch at a store that sells health food in a nearby area. By simply advising the user about the exercise and recommended food, the interaction is not interesting, and the user can not feel humanity from the interactive health promotion system, and can not continue using the health promotion system for the same exchange at all times. There is a risk of However, if it is configured to be able to suggest a model for how to spend holidays and health promotion advice related to recommended outing spots etc. by linking it to familiar events and things that users are interested in, It is possible for the user to enjoy the health promotion behavior, and to make the user recognize as if it is human-like interaction rather than mechanical interaction.
　また、例えばニュースユーザ関連情報として、ユーザが所在する地域の天候情報を取得する場合には、その日の気温や、晴れ、雨、強風といった情報を健康状況情報の分析に利用することになる。例えば天候情報が「本日は晴天、最高気温は３５度摂氏、湿度が高め」である場合には、分析ルールに基づいて得られる健康状況情報の一例としては、「昼間の外出時には熱中症になるリスクがある。」、「昼間の外出時には体内水分が不足するリスクがある。」などである。「本日は曇天、最高気温は５度摂氏、湿度が低め」である場合には分析ルールに基づいて得られる健康状況情報としては、「低体温症のリスクがある。」、「風邪気味なので、さらに悪化するリスクがある。」、「喉を傷めるリスクがある。」などである。「本日の天候は台風による強風と、豪雨がある。」という場合には、「飛散物による外傷のリスクあり。」、「川の氾濫によりさらわれるリスクあり。」などである。健康状況情報とは直接関係しないが、健康促進アドバイスの内容に反映させることも有効である。雨の日や、強風の日に、散歩や外出して運動することを進めても、実行することができないアドバイスとなってしまう。雨の日や、強風の日には、室内でヨガをすることを勧めたり、室内で筋肉トレーニングをすることを勧めたり、ゆっくりとお風呂に入ってリラックスすることを勧める、アロマを焚いて趣味の時間を過ごすことでリラックスすることを勧めるなど、実行できる行為をアドバイスすることが望ましい。天候情報を取得することによって、まさにユーザが存在している場所のその時の天候に応じた健康促進アドバイスをすることが可能となる。さらに、天候に応じて変動するユーザの肉体的健康、精神的健康を分析することが可能となる。例えば、雨の日には片頭痛が起きるとか、体が重くなるとか、暑い日にはよく脱水症状を起こしている、といったユーザ特有の天候と条件づけることができる健康状況に関する情報があるときには、雨の予報や真夏日の予報が出ているときに、予防するようにアドバイスをすることが可能になる。対話の形式や健康状況情報に直接関連するものではないが、天候情報は、ユーザの健康状態を多次元的に分析する上で重要な役割を果たす情報である。 Further, for example, when weather information of the area where the user is located is acquired as news user related information, information such as the temperature of the day, sunny, rain, strong wind, etc. is used for analysis of health condition information. For example, when the weather information is "fine weather today, the maximum temperature is 35 degrees Celsius, the humidity is high", as an example of the health status information obtained based on the analysis rule, "heatstroke occurs during daytime outings" "There is a risk.", "There is a risk that the body will run out of water when going out in the daytime." As "healthy information" obtained based on the analysis rule in the case of "cloudy today, maximum temperature is 5 degrees Celsius and humidity is low", "There is a risk of hypothermia." There is a risk of further worsening, "There is a risk of damaging the throat." "Today's weather has strong winds due to typhoons and heavy rains.", "There is a risk of injury due to splashes." Or "There is a risk of being covered by river flooding." Although not directly related to health status information, it is also effective to reflect it on the content of health promotion advice. If you go walking or going out and exercise on a rainy day or a windy day, it will be an advice that can not be implemented. On rainy days or strong winds, we recommend doing yoga indoors, doing indoor muscle training, or taking a slow bath and relaxing, with aromas and hobbies It is desirable to advise on actions that can be taken, such as recommending relaxation by spending time. By acquiring weather information, it is possible to give health promotion advice according to the current weather of the place where the user is present. Furthermore, it becomes possible to analyze the physical health and the mental health of the user, which change according to the weather. For example, when there is information about the user-specific weather and health conditions that can be conditioned, such as a migraine headache on a rainy day, a heavy body, or dehydration on a hot day. It is possible to give advice to prevent when there is a forecast for rain or summer day. Although not directly related to the type of dialogue or health status information, weather information is information that plays an important role in multidimensional analysis of the user's health status.
　＜実施形態３　ハードウェア構成＞
　図１０は実施形態３のハードウェア構成を示す図である。この図にあるように本発明は、基本的に汎用コンピュータとプログラム、各種デバイスで構成することが可能である。コンピュータの動作は基本的に不揮発性メモリに記録されているプログラムやデータを主メモリにロードして、主メモリとＣＰＵと各種デバイスとで処理を実行していく形態をとる。デバイスとの通信は、バス線と繋がったインターフェイスを介して行われる。この図にある実施形態３のハードウェアを構成するプログラムのうち、実施形態１又は実施形態２と共通の働きをするプログラムについてはすでに説明済みであるから説明を省略する。本実施形態で新たに加わる「ニュースユーザ関連情報取得プログラム」は、ニュース情報をユーザ関連情報として取得する。プログラムのより詳細な動作は各構成の説明で記載される動作を実現するものであり詳細はそちらを参照のこと。これら不揮発性メモリからメインメモリにコピーされた一連のプログラムの実行命令に基づいてこれらのプログラムが順次又は常時実行される。なお、データとしては、ユーザ識別情報（場合によりこれに関連付けられるユーザ属性情報）、外部情報（ＳＮＳユーザ関連情報、ニュースユーザ関連情報を含む）、分析ルール、健康状況情報、対話情報、ユーザ別対話情報選択ルール、選択した対話情報、図示しない通信など各種の設定情報等が不揮発性メモリに保持され、主メモリにロードされ、一連のプログラム実行に際して参照され、利用される。 <Third Embodiment Hardware Configuration>
FIG. 10 is a diagram showing a hardware configuration of the third embodiment. As shown in this figure, the present invention can basically be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. Among the programs constituting the hardware of the third embodiment shown in this figure, the programs having the same function as the first embodiment or the second embodiment have already been described, and hence the description thereof is omitted. The "news user related information acquisition program" newly added in the present embodiment acquires news information as user related information. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory. As data, user identification information (user attribute information associated with it in some cases), external information (including SNS user related information, news user related information), analysis rules, health status information, dialogue information, dialogue by user Information selection rules, selected dialogue information, various setting information such as communication not shown, etc. are held in the non-volatile memory, loaded into the main memory, and referred to and used in executing a series of programs.
　＜実施形態３　処理の流れ＞
　図１１は、実施形態３の最も基本的な構成の処理の流れを示す図である。この図に示すように、ユーザ識別情報保持ステップ（１１０１）、ＳＮＳユーザ関連情報取得ステップ（１１０２）、外部情報としてユーザに関連するニュース情報を取得するためのニュースユーザ関連情報取得ステップ（１１０３）、分析ルール保持ステップ（１１０４）、健康状況情報分析取得ステップ（１１０５）、対話情報蓄積ステップ（１１０６）、ユーザ別対話情報選択ルール保持ステップ（１１０７）、対話情報選択ステップ（１１０８）、対話情報出力ステップ（１１０９）と、からなる。 <Third Embodiment Process Flow>
FIG. 11 is a diagram showing the flow of processing of the most basic configuration of the third embodiment. As shown in this figure, user identification information holding step (1101), SNS user related information acquisition step (1102), news user related information acquisition step (1103) for acquiring news information related to the user as external information, Analysis rule holding step (1104), health condition information analysis acquisition step (1105), dialogue information accumulation step (1106), user-by-user dialogue information selection rule holding step (1107), dialogue information selection step (1108), dialogue information output step And (1109).
　＜実施形態４＞
　＜実施形態４　概要＞
　本実施形態の発明は、実施形態１から実施形態３のいずれかの構成に加えて、ユーザのライフログを取得することができる。 Fourth Embodiment
Embodiment 4 Outline
The invention of this embodiment can obtain the user's life log in addition to the configuration of any one of the first to third embodiments.
　＜実施形態４　発明の構成＞
　実施形態４の対話式健康促進システムの構成の一例は、図１２に示すように、ユーザ識別情報保持部（１２０１）、ＳＮＳユーザ関連情報取得部（１２０２）、ライフログユーザ関連情報取得部（１２０３）、分析ルール保持部（１２０４）、健康状況情報分析取得部（１２０５）、対話情報蓄積部（１２０６）、ユーザ別対話情報選択ルール保持部（１２０７）、対話情報選択部（１２０８）、対話情報出力部（１２０９）と、からなる。以下では、実施形態１から実施形態３のいずれか一との共通の構成の説明は省略し、本実施形態に特徴的な構成について説明する。 <Configuration of the fourth embodiment>
As shown in FIG. 12, an exemplary configuration of the interactive health promotion system according to the fourth embodiment includes a user identification information holding unit (1201), an SNS user related information acquisition unit (1202), and a life log user related information acquisition unit (1203). Analysis rule holding unit (1204), health condition information analysis acquiring unit (1205), dialogue information storage unit (1206), user-by-user dialogue information selection rule holding unit (1207), dialogue information selection unit (1208), dialogue information And an output unit (1209). In the following, the description of the configuration common to any one of the first to third embodiments is omitted, and a configuration characteristic to the present embodiment will be described.
＜実施形態４　構成の説明＞
＜実施形態４　ライフログユーザ関連情報取得部＞
　「ライフログユーザ関連情報取得部」は、ユーザ識別情報と関連付けてユーザの端末に記録されているライフログであるライフログユーザ関連情報を外部情報として取得する。
ライフログとは、携帯端末などで取得できる情報又は別の外部機器によって取得された情報である、その日の歩数、移動距離、血圧、脈拍、心拍数、血糖値、水分量、体脂肪率、体重、身長、筋肉量バランス、骨密度、呼吸数、肺活量、血液検査の結果、ＭＲＳの検査結果、尿検査、血中アルコール濃度、体温、筋肉の収縮・弛緩の度合い、脳波、血流速度、血中酸素濃度、アレルギー反応の程度、疲労物質の蓄積の程度、等である。これらは、身体に装着しており身体の状態を測定可能なウエアラブル端末や、身体に身に着けてはいないが通信機能を有する身体データ測定装置などから取得できる。または、通信でないが可搬型のメモリに収納された身体データを可搬型メモリ（例えばＵＳＢメモリ、ＩＣカード（ＲＦＩＤ機能を有するプリペイドカードなども含む）、可搬型ディスクドライブ、光記録媒体、磁器メモリなど）から取得することもできる。なお、プリペイドカードの場合には健康診断や、医師による治療の手数料支払い時に身体の状態に関する情報を受け取り、これを取得することで身体の状態を示すデータを取得できる。ユーザ識別情報に関連付けて保持されるユーザ属性情報は、対話式健康促進システムの利用開始時にユーザ自身に登録させるように構成することができる。この登録があってこの対話式健康促進システムが利用可能になるように構成することができる。さらにユーザ属性情報は、すでにユーザが利用している他のシステムから移転ないしコピーして取得するように構成することもできる。例えば利用履歴がある病院などのデータや、ユーザが利用している電子カルテシステム、ユーザが利用しているトレーニングジム、ユーザが利用しているトレーニングアプリなどの施設が保有するデータなどを利用できる。 <Description of the configuration of the fourth embodiment>
<Fourth Embodiment Life Log User Related Information Acquisition Unit>
The “life log user related information acquisition unit” acquires, as external information, life log user related information which is a life log recorded in the terminal of the user in association with the user identification information.
A life log is information that can be acquired by a portable terminal or the like, or information acquired by another external device, such as the number of steps, moving distance, blood pressure, heart rate, blood sugar level, water content, body fat percentage, weight , Height, muscle mass balance, bone density, respiratory rate, vital capacity, blood test results, MRS test results, urine test, blood alcohol concentration, body temperature, muscle contraction / relaxation degree, brain wave, blood flow velocity, blood Medium oxygen concentration, degree of allergic reaction, degree of accumulation of fatigue substance, etc. These can be acquired from a wearable terminal worn on the body and capable of measuring the condition of the body, or a physical data measuring device which is not worn on the body but has a communication function. Alternatively, the portable memory (for example, USB memory, IC card (including a prepaid card having an RFID function), portable disk drive, optical recording medium, porcelain memory, etc.) which is stored in portable memory without communication but is portable It can also be obtained from In the case of a prepaid card, it is possible to obtain data indicating the physical condition by receiving information about the physical condition at the time of medical checkup and payment of a treatment fee by a doctor and acquiring this. The user attribute information held in association with the user identification information can be configured to be registered by the user at the start of using the interactive health promotion system. With this registration, the interactive health promotion system can be configured to be available. Furthermore, the user attribute information can be configured to be transferred or acquired from another system already used by the user. For example, data of a hospital or the like having a usage history, data held by a facility such as an electronic medical chart system used by a user, a training gym used by a user, a training application used by a user, etc. can be used.
　従来の技術は、ライフログから取得される数値的な情報を数値的に分析して健康状況を促進していた。したがって、数値的な情報の取得経緯や取得する数値的な情報の内容の特殊性が問題となっていた。一方、本件対話式健康促進システムでは、ライフログから取得される情報を数値的に分析するのではなく、そういった行動あるいは状態にあるユーザの「気持ち」の健康を分析する。前述のとおり、本件対話式健康促進システムは、健康状況情報を肉体的健康と精神的健康とから取得する。この肉体的健康が数値的な健康であり、精神的健康が「気持ち」の健康にあたる。例えば、精神的に不安定な時には、脈拍が早くなったり、不整脈が出たり、呼吸が浅くなり呼吸数が増えたり、心拍数が早くなったり、体温が急上昇したりする。脈拍数の変化、呼吸数の変化、心拍数の変化、体温の変化、といった数値的な変動を、数値の異常性として肉体的健康状況に異変があると分析するために用いるのではなく、「落ち着きがない」「不安がある」「焦っている」といった、ユーザの気持を分析するために用いる。例えば、非常に晴れやかな心で気持ちが落ち着いているときは、脈拍数が１分間に６０回程度で一定の速さとなり、呼吸数が１分間に１２回程度で一定の速さとなり、心拍数が１分間に６０回程度で一定の速さとなり、体温が３６度前後の温度となり急な変動をしない。この数値を、単に平均的な数値であるから肉体的健康状況に異常なしと分析するために用いるのではなく、「気持ちが落ち着いている」「晴れやかな気持ちである」という気持ちを分析するために利用する。 The prior art numerically analyzes the numerical information acquired from the life log to promote the health situation. Therefore, the process of acquiring the numerical information and the peculiarity of the contents of the acquired numerical information have become problems. On the other hand, the interactive health promotion system does not analyze the information acquired from the life log numerically, but analyzes the health of the user's "feeling" in such behavior or state. As mentioned above, the interactive health promotion system obtains health status information from physical health and mental health. This physical health is numerical health, and mental health is mental health. For example, when mentally unstable, the pulse may be fast, arrhythmia may occur, the breathing may be shallow and the respiratory rate may be increased, the heart rate may be accelerated, or the temperature may increase rapidly. Numerical changes such as changes in pulse rate, changes in respiratory rate, changes in heart rate, changes in body temperature, etc. are not used to analyze that there is an abnormality in physical health status as an abnormal value of numerical value. It is used to analyze the user's feeling of restlessness, "anxiety", "impatient", etc. For example, when the feeling is calm with a very bright heart, the pulse rate is constant at about 60 times per minute, and the respiratory rate is constant at about 12 times per minute, and the heart rate There is a constant speed at about 60 times a minute, and the body temperature is around 36 degrees and does not change rapidly. In order to analyze the feeling that "the feeling is calming" and "it is a feeling of brilliance" instead of using this number as an average number, it is not used to analyze no abnormality in physical health condition. Use
　＜実施形態４　ハードウェア構成＞
　図１３は実施形態４のハードウェア構成を示す図である。この図にあるように本発明は、基本的に汎用コンピュータとプログラム、各種デバイスで構成することが可能である。コンピュータの動作は基本的に不揮発性メモリに記録されているプログラムやデータを主メモリにロードして、主メモリとＣＰＵと各種デバイスとで処理を実行していく形態をとる。デバイスとの通信は、バス線と繋がったインターフェイスを介して行われる。この図にある実施形態４のハードウェアを構成するプログラムのうち、実施形態１から実施形態３のいずれか一と共通の働きをするプログラムについてはすでに説明済みであるから説明を省略する。本実施形態で新たに加わる「ライフログユーザ関連情報取得プログラム」は、ユーザのライフログをユーザ関連情報として取得する。ライフログの取得はＳＮＳを利用する端末からの取得に限られない。プログラムのより詳細な動作は各構成の説明で記載される動作を実現するものであり詳細はそちらを参照のこと。これら不揮発性メモリからメインメモリにコピーされた一連のプログラムの実行命令に基づいてこれらのプログラムが順次又は常時実行される。なお、データとしては、ユーザ識別情報（場合によりこれに関連付けられるユーザ属性情報）、外部情報（ＳＮＳユーザ関連情報、ライフログユーザ関連情報を含む）、分析ルール、健康状況情報、対話情報、ユーザ別対話情報選択ルール、選択した対話情報、図示しない通信など各種の設定情報等が不揮発性メモリに保持され、主メモリにロードされ、一連のプログラム実行に際して参照され、利用される。 Embodiment 4 Hardware Configuration
FIG. 13 is a diagram showing the hardware configuration of the fourth embodiment. As shown in this figure, the present invention can basically be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. Among the programs constituting the hardware of the fourth embodiment shown in this figure, the programs having the same function as any one of the first to third embodiments have already been described, and thus the description thereof is omitted. The “life log user related information acquisition program” newly added in the present embodiment acquires the user's life log as user related information. Acquisition of life log is not limited to acquisition from a terminal using SNS. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory. As data, user identification information (user attribute information sometimes associated with it), external information (including SNS user related information, life log user related information), analysis rules, health status information, dialogue information, classified by user A dialogue information selection rule, selected dialogue information, various setting information such as communication not shown, etc. are held in the non-volatile memory, loaded into the main memory, referenced and used in executing a series of programs.
　＜実施形態４　処理の流れ＞
　図１４は実施形態４のもとも基本的な構成の処理の流れを示す図である。この図に示すように実施形態４のハードウェア構成も不揮発性メモリに、ユーザ識別情報保持ステップ（１４０１）、ＳＮＳユーザ関連情報取得ステップ（１４０２）、外部情報としてユーザに関連するライフログ情報を取得するためのライフログユーザ関連情報取得ステップ（１４０３）、分析ルール保持ステップ（１４０４）、健康状況情報分析取得ステップ（１４０５）、対話情報蓄積ステップ（１４０６）、ユーザ別対話情報選択ルール保持ステップ（１４０７）、対話情報選択ステップ（１４０８）、対話情報出力ステップ（１４０９）と、からなる。 <Flow of Embodiment 4>
FIG. 14 is a diagram showing the flow of processing of the basic configuration of the fourth embodiment. As shown in this figure, the hardware configuration of the fourth embodiment also has the user identification information holding step (1401), the SNS user related information acquisition step (1402), and the life log information related to the user as external information in the nonvolatile memory. Step for acquiring life log user related information (1403), analysis rule holding step (1404), health condition information analysis acquisition step (1405), dialogue information accumulation step (1406), dialogue information selection rule for each user (1407) And dialog information selection step (1408) and dialog information output step (1409).
　＜実施形態５＞
　＜実施形態５　概要＞
　本実施形態における発明は、実施形態１から実施形態４に記載の構成に加えて、ユーザからの応答を取得することができる。 Fifth Embodiment
Fifth Embodiment Outline
The invention in this embodiment can obtain a response from the user in addition to the configurations described in the first to fourth embodiments.
　＜実施形態５　発明の構成＞
　実施形態５の対話式健康促進システムの構成の一例は、図１５に示すように、ユーザ識別情報保持部（１５０１）、ＳＮＳユーザ関連情報取得部（１５０２）、分析ルール保持部（１５０３）、健康状況情報分析取得部（１５０４）、対話情報蓄積部（１５０５）、ユーザ別対話情報選択ルール保持部（１５０６）、対話情報選択部（１５０７）、対話情報出力部（１５０８）、応答対話情報取得部（１５０９）と、からなる。以下では、実施形態１から実施形態４との共通の構成の説明は省略し、本実施形態に特徴的な構成について説明する。 <Fifth embodiment of the invention>
One example of the configuration of the interactive health promotion system according to the fifth embodiment is, as shown in FIG. 15, a user identification information holding unit (1501), an SNS user related information acquisition unit (1502), an analysis rule holding unit (1503), health Situation information analysis acquisition unit (1504), dialogue information storage unit (1505), dialogue information selection rule holding unit for each user (1506), dialogue information selection unit (1507), dialogue information output unit (1508), response dialogue information acquisition unit And (1509). In the following, the description of the configuration common to the first to fourth embodiments is omitted, and the characteristic configuration of the present embodiment will be described.
＜実施形態５　構成の説明＞
＜実施形態５　応答対話情報取得部＞
　「応答対話情報取得部」は、出力された対話情報に対する応答対話情報を取得する応答対話情報取得部をさらに有する。応答対話情報とは、本件対話式健康促進システムから出力された健康促進アドバイスに対するユーザの応答のことをいい、ＳＮＳへの発信や、本件対話式健康促進システムへ直接入力される応答や、健康促進アドバイス後にユーザがとった行動に関するライフログなどが、応答対話にあたる。したがって、応答対話情報は、言語情報に限らず、行動情報や血圧や血糖値等の数値情報等も含まれる。 <Description of Configuration of Fifth Embodiment>
<Fifth Embodiment Response Dialogue Information Acquisition Unit>
The “response dialogue information acquisition unit” further includes a response dialogue information acquisition unit that acquires response dialogue information for the outputted dialogue information. Response dialogue information refers to the user's response to the health promotion advice output from the interactive health promotion system, sending to SNS, response directly input to the interactive health promotion system, health promotion The life log on the action taken by the user after the advice, etc. corresponds to the response dialogue. Therefore, the response dialogue information is not limited to the verbal information, but also includes behavioral information and numerical information such as blood pressure and blood glucose level.
＜実施形態５　ハードウェア構成＞
　図１６は実施形態５のハードウェア構成を示す図である。この図にあるように本発明は、基本的に汎用コンピュータとプログラム、各種デバイスで構成することが可能である。コンピュータの動作は基本的に不揮発性メモリに記録されているプログラムやデータを主メモリにロードして、主メモリとＣＰＵと各種デバイスとで処理を実行していく形態をとる。デバイスとの通信は、バス線と繋がったインターフェイスを介して行われる。この図にある実施形態５のハードウェアを構成するプログラムのうち実施形態１から実施形態４のいずれか一と共通の働きをするプログラムについてはすでに説明済みであるから説明を省略する。本実施形態で新たに加わる「応答対話情報取得プログラム」は、出力した対話情報に対応する応答対話情報を取得する。プログラムのより詳細な動作は各構成の説明で記載される動作を実現するものであり詳細はそちらを参照のこと。これら不揮発性メモリからメインメモリにコピーされた一連のプログラムの実行命令に基づいてこれらのプログラムが順次又は常時実行される。なお、データとしては、ユーザ識別情報（場合によりこれに関連付けられるユーザ属性情報）、外部情報（ＳＮＳユーザ関連情報を含む）、分析ルール、健康状況情報、対話情報、ユーザ別対話情報選択ルール、選択した対話情報、応答対話情報、図示しない通信など各種の設定情報等が不揮発性メモリに保持され、主メモリにロードされ、一連のプログラム実行に際して参照され、利用される。 Fifth Preferred Embodiment Hardware Configuration
FIG. 16 is a diagram showing a hardware configuration of the fifth embodiment. As shown in this figure, the present invention can basically be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. Among the programs constituting the hardware of the fifth embodiment shown in this figure, the programs having the same function as any one of the first to fourth embodiments have already been described, and hence the description thereof is omitted. The “response dialogue information acquisition program” newly added in the present embodiment acquires response dialogue information corresponding to the outputted dialogue information. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory. As data, user identification information (user attribute information sometimes associated with it), external information (including SNS user related information), analysis rule, health status information, dialogue information, dialogue information selection rule by user, selection The dialogue information, response dialogue information, various setting information such as communication not shown, etc. are held in the non-volatile memory, loaded into the main memory, and referred to and used in executing a series of programs.
　＜実施形態５　処理の流れ＞
　図１７は、実施形態５の最も基本的な構成の処理の流れを示す図である。この図に示すように、ユーザ識別情報保持ステップ（１７０１）、ＳＮＳユーザ関連情報取得ステップ（１７０２）、分析ルール保持ステップ（１７０３）、健康状況情報分析取得ステップ（１７０４）、対話情報蓄積ステップ（１７０５）、ユーザ別対話情報選択ルール保持ステップ（１７０６）、対話情報選択ステップ（１７０７）、対話情報出力ステップ（１７０８）、出力した対話情報に対するユーザの応答対話情報を取得するための応答対話情報取得ステップ（１７０９）と、からなる。 <Flow of Embodiment 5>
FIG. 17 is a diagram showing the flow of processing of the most basic configuration of the fifth embodiment. As shown in this figure, user identification information holding step (1701), SNS user related information acquisition step (1702), analysis rule holding step (1703), health condition information analysis acquisition step (1704), dialogue information storage step (1705) Dialog information selection rule by user (1706), dialogue information selection step (1707), dialogue information output step (1708), response dialogue information acquisition step for acquiring user's response dialogue information to the outputted dialogue information And (1709).
＜実施形態６＞
＜実施形態６　概要＞
　本実施形態における発明は、実施形態５に記載の構成に加えて、本件対話式健康促進システムから提供された対話情報がユーザに対して有効な対話情報であったかを、対話情報に対するユーザの応答から判断する機能を有している。 Embodiment 6
Embodiment 6 Outline
In addition to the configuration described in the fifth embodiment, the invention in the present embodiment determines from the user's response to the dialog information whether the dialog information provided from the interactive health promotion system is valid dialog information for the user. It has the function to judge.
＜実施形態６　発明の構成＞
　実施形態６の対話式健康促進システムの構成の一例は、図１８に示すように、ユーザ識別情報保持部（１８０１）、ＳＮＳユーザ関連情報取得部（１８０２）、分析ルール保持部（１８０３）、健康状況情報分析取得部（１８０４）、対話情報蓄積部（１８０５）、ユーザ別対話情報選択ルール保持部（１８０６）、対話情報選択部（１８０７）、対話情報出力部（１８０８）、応答対話情報取得部（１８０９）、有効性判断ルール保持部（１８１０）、対話情報有効性判断部（１８１１）と、からなる。以下では、実施形態５との共通の構成の説明は省略し、本実施形態に特徴的な構成について説明する。 Embodiment 6 Configuration of the Invention
One example of the configuration of the interactive health promotion system of the sixth embodiment is, as shown in FIG. 18, a user identification information holding unit (1801), an SNS user related information acquiring unit (1802), an analysis rule holding unit (1803), health Situation information analysis acquisition unit (1804), dialogue information storage unit (1805), dialogue information selection rule holding unit for each user (1806), dialogue information selection unit (1807), dialogue information output unit (1808), response dialogue information acquisition unit (1809), effectiveness judgment rule holding unit (1810), dialogue information validity judgment unit (1811) In the following, the description of the configuration common to the fifth embodiment is omitted, and the configuration characteristic to the present embodiment will be described.
＜実施形態６　構成の説明＞
＜実施形態６　有効性判断ルール保持部＞
　「有効性判断ルール保持部」は、出力された対話情報に対して取得された応答対話情報が有効であったか判断するルールである有効性判断ルールを保持する。有効性判断ルールは、出力した対話情報によって指定、提案された内容と一致する健康促進行動をユーザが行っている場合にのみ、出力した対話情報が有効であると判断し、それ以外の健康促進行動であったり、健康を促進する行動をとらなかった場合には、出力は有効ではなかったと判断することになる。 <Description of Configuration of Sixth Embodiment>
<Embodiment 6 effectiveness judgment rule holding unit>
The “validity determination rule holding unit” holds a validity determination rule that is a rule to determine whether the response dialogue information acquired for the outputted dialogue information is valid. The effectiveness judgment rule determines that the output dialogue information is valid only when the user is performing a health promotion action that matches the proposed content, specified by the output dialogue information, and promotes health other than that. If the behavior is not taken or the action promoting health is taken, it is determined that the output is not effective.
　有効性判断ルールは、健康状況情報に基づいてどのように健康状況を改善ないしは維持すればよいかという背景目的があり、その背景目的を達成するためにプラスの影響を与える行動ないし思索があったか、という観点から判断をするルールである。従って、背景目的に応じてプラスの影響を与えた、ないしは影響を与えなかった、ないしは、逆効果であった、と判断すべき単語や写真、映像、フレーズ、ライフログ（差分も含む）が蓄積されており、応答対話情報のコンテンツ（対話、写真、映像、ライフログ）を蓄積されている単語等で検索して有効性を判断するように構成されている。また、単語が含まれているかのみならず、文脈解析を行って、その背景目的に対してプラスであるかマイナスであるか判断するように構成することができる。ここで「背景目的」は、本システムを利用するないしは設計する者がその哲学に基づいて設定する者であるが、一般的には「人が健康」である状態を定義した情報を指す。この定義は各種生理情報の値ないしは値の範囲であってもいし、健康な人なら発するであろう言葉ないしは発するであろう言葉の発生頻度であってもよいし、健康な人ならするであろうしぐさ、ないしはしぐさの発生頻度であってもよい。 The effectiveness judgment rule has a background purpose of how to improve or maintain the health condition based on the health condition information, and whether there has been positive behavior or thinking to achieve the background purpose, It is a rule to judge from the point of view. Therefore, words, pictures, videos, phrases, and lifelogs (including differences) that should be determined to have a positive effect or no effect, or an adverse effect depending on the background purpose are stored. It is configured to search the content of the response dialogue information (dialogue, picture, video, life log) based on the stored words and the like to determine the validity. Also, not only whether a word is included, but context analysis can be performed to determine whether the background purpose is positive or negative. Here, "background purpose" is a person who uses or designs this system based on his / her philosophy, but generally refers to information defining a state in which "the human health is". This definition may be the value or range of values of various physiological information, may be the frequency of occurrence of words that would be emitted by a healthy person, or may be the frequency of occurrence of words, if it is a healthy person. It may be the frequency of occurrence of braille.
　背景目的の具体例としては生理情報の値では、「血圧目標値」として、血圧の上側を１４０以下にする。血圧の下側を９０以下にする、「ＢＭＩ値」を２５以下にする、「腹囲」を、男性だと８５センチメートル以下にする、女性だと９０センチメートル以下にする、内臓脂肪を１００平方センチメートル以下とする、「体脂肪率」を男性だと２０％以下にする、女性だと２８％以下にする、「視力」を０．７から２．０の間にする、「眼圧」を１０ミリＨｇから２０ミリＨｇにする、「肺機能」を％肺活量を８０％以上で１秒率７０％以上にする、「尿検査値」で尿たんぱくを（+－）ケトン体を（－）尿糖を（－）潜血反応を（＋－）ウロビリノーゲンを（＋－）尿比重を１．０１０１から１．０２５の間、ｐｈを４．８から７．５の間、尿最近を（－）にする、尿アルブミン定量検査値を３０ミリグラム／グラム未満にする、「便検査値」を便潜血検査（二日法）で（－）にする。便虫卵検査（－）にする、「血液生化学検査値」を総ビリルビン０．２ミリグラム／デシリットルから１．２ミリグラム／デシリットルの間にする、ＺＴＴ（クンケル試験）を２．０単位から１２．０単位の間にする、ＴＴＴ（チモール混濁反応）を０単位から４単位の間にする、ＡＬＰ（アルカリフォスファターゼ）を１１０ｌＵ／ｌから３５４ｌＵ／ｌの間に、ＣＫ（ＣＫＰ）（クレアチンキナーゼ）を男性だと３８ｌＵ／ｌから１９６ｌＵ／ｌの間、女性だと３０ｌＵ／ｌから１７２ｌＵ／ｌの間に、ＬＡＰ（ロイシンアミノペプチダーゼ）３０ｌＵ／ｌから７０ｌＵ／ｌの間に、ＬＤＨ（乳酸脱水素酵素）１２１ｌＵ／ｌから２４５ｌＵ／ｌの間に、γ―ＧＴを８０ｌＵ／ｌ以下に、コリンエステラーゼを２１３ｌＵ／ｌから５０１ｌＵ／ｌの間に、ＡＳＴ（ＧＯＴ）を３５ｌＵ／ｌ以下に、ＡＬＴ（ＧＰＴ）を４０ｌＵ／ｌ以下に、総コレステロールを１４０ミリグラム／デシリットルから２１９ミリグラム／デシリットルの間に、中性脂肪（トリグリセライド）を３０ミリグラム／デシリットルから１４９ミリグラム／デシリットルの間に、ＨＤＬコレステロールを４０ミリグラム／デシリットルから１１９ミリグラム／デシリットルの間に、ＬＤＬコレステロールを６０ミリグラム／デシリットルから１３９ミリグラム／デシリットルに、血清アミラーゼを３８ｌＵ／ｌから１３６ｌＵ／ｌの間に、尿酸を２．１ミリグラム／デシリットルから７．０ミリグラム／デシリットルの間に、尿素窒素を８ミリグラム／デシリットルから２２ミリグラム／デシリットルの間に、総蛋白を６．５グラム／デシリットルから９．０グラム／デシリットルの間に、血清アルブミンを４．０グラム／デシリットル以上、蛋白Ａ／Ｇ比、蛋白分画を、Ａ／Ｇ比を１．５から２．５、Ａｌｂを６０．２％から７１．４％、α―１を１．９％から３．３％、α－２を５．７％から９．７％、βを６．９％から１０．７％、γを１０．５％から２０．３％の間に、クレアチニンを男性は１・０ミリグラム／デシリットル以下に、女性は０．７ミリグラム／デシリットル以下に、ｅＧＦＲを６０ミリリットル／分／１．７３平方メートル以上に、ＴＳＨ（甲状腺刺激ホルモン）０．５４μＵ／ｍｌから４．５４μＵ／ｍｌの間に、血清鉄５８マイクログラム／デシリットルから１８８マイクログラム／デシリットルの間に、ＢＮＰ（ヒト脳性ナトリウム　利尿ペプチド）を１８．４ｐｇ／ｍｌ以下に、Ｎａ（ナトリウム）を、１３５ｍＥｑ／ｌから１５０ｍＥｑ／ｌの間に、Ｋ（カリウム）を、３．５ｍＥｑ／ｌから５．３ｍＥｑ／ｌの間に、Ｃａ（カルシウム）を８．４ミリグラム／デシリットルから１０．２ミリグラム／デシリットルの間に、Ｃｌ（クロール）を９８ｍＥｑ／ｌから１１０ｍＥｑ／ｌの間に、Ｐ（無機リン）を２．５ミリグラム／デシリットルから４．５ミリグラム／デシリットルの間に、総ホモシステインを３．７ｎｍｏｌ／ｍｌから１３．５ｎｍｏｌ／ｍｌの間に、とする、などである。 As a specific example of the background purpose, in the value of the physiological information, the upper side of the blood pressure is set to 140 or less as the "blood pressure target value". Make the lower side of blood pressure 90 or less, "BMI value" 25 or less, "Abdominal circumference" make 85 centimeters or less for men, 90 centimeters or less for women, visceral fat 100 square centimeters "The body fat percentage" is 20% or less for men, 28% or less for women, "eyesight" is between 0.7 and 2.0, and "ocular pressure" is 10 Make milli Hg to 20 milli Hg, Make "pulmonary function"% vital capacity 80% or more and make 1 second rate 70% or more, "Urine test value" (+-) Ketone body (-) Urine protein Sugar (-) occult blood reaction (+-) urobilinogen (+-) urine specific gravity between 1.0101 and 1.025, ph between 4.8 and 7.5, urine recent (-) To make the urine albumin quantitative test value less than 30 milligrams / gram, “fecal test value” Make a (-) in the fecal occult blood test (two-day method). To make a stool egg test (-), "Blood biochemistry test value" make a total bilirubin between 0.2 milligram / deciliter and 1.2 milligram / deciliter, ZTT (crunkel test) between 2.0 unit and 12 Make TTT (thymol turbidity reaction) between 0 and 4 units between .0 units, and between 110 lU / l and 354 lU / l of ALP (alkaline phosphatase), CK (CKP) (creatine kinase) For men with 38lU / l to 196lU / l, for women with 30lU / l to 172lU / l, LAP (leucine aminopeptidase) between 30lU / l to 70lU / l, LDH (lactate dehydrogenation) Enzymes) Between 121 lU / l and 245 lU / l, γ-GT less than 80lU / l and cholinesterase from 213 lU / l to 501 Between U / l, AST (GOT) less than 35 lU / l, ALT (GPT) less than 40 lU / l, total cholesterol between 140 milligrams / deciliter to 219 milligrams / deciliter, triglyceride (triglyceride) ) Between 30 milligrams / deciliter to 149 milligrams / deciliter, HDL cholesterol between 40 milligrams / deciliter to 119 milligrams / deciliter, LDL cholesterol from 60 milligrams / deciliter to 139 milligrams / deciliter and 38 l serum amylase / l Between 1 and 136 lU / l, for uric acid between 2.1 mg / deciliter and 7.0 mg / deciliter, for urea nitrogen between 8 mg / deciliter and 22 mg / deciliter Total protein between 6.5 g / deciliter and 9.0 g / deciliter, serum albumin greater than 4.0 g / deciliter, protein A / G ratio, protein fraction, A / G ratio 1. 5 to 2.5, 60.2% to 71.4% of Alb, 1.9% to 3.3% of α-1, 5.7% to 9.7% of α-2, and β 6. 9% to 10.7%, γ between 10.5% and 20.3%, creatinine to less than 1.0 milligrams per deciliter for men, less than 0.7 milligrams for deciliter for women, 60 for eGFR More than milliliters / minute / 1.73 square meters, TSH (thyroid stimulating hormone) between 0.54 μU / ml and 4.54 μU / ml, serum iron between 58 micrograms / deciliter and 188 micrograms / deciliter, BNP (Human brain Natriuretic peptide) less than 18.4 pg / ml, Na (sodium), between 135 mEq / l and 150 mEq / l, K (potassium), between 3.5 mEq / l and 5.3 mEq / l Ca (calcium) between 8.4 mg / deciliter and 10.2 mg / deciliter, Cl (chlor) between 98 mEq / l and 110 mEq / l and P (inorganic phosphorus) 2.5 mg / m Between deciliter and 4.5 milligrams / deciliter, total homocysteine between 3.7 nmol / ml and 13.5 nmol / ml, and so on.
　また、精神的健康に関する背景目的としては、発する言葉が、「安心」、「精神的安定」「リラックス」などの状態であることを推定させる言葉やしぐさが外部情報として取得される状況を作り出すこと、状況を維持すること、を挙げることができる。
　また、精神的健康状況は良い、悪いのみでなく、安心、不安、感謝、驚愕、興奮、好奇心、性的好奇心、冷静、焦燥 (焦り)、不思議 (困惑)、幸運、リラックス、緊張、名誉、責任、尊敬、親近感 (親しみ)、憧憬 (憧れ)、欲望 (意欲)、恐怖、勇気、快感、後悔、満足、不満、無念、嫌悪、恥、軽蔑、嫉妬、罪悪感、殺意、期待、優越感、劣等感、怨み、苦しみ、悲しみ、切なさ、感動、怒り、諦め、絶望、憎悪、空虚などの精神的状況を格付け、点数化して保持するような構成が考えられる。例えば精神的健康状況情報として、不安が最も悪いランクから２番目のＤである場合に、背景目的としては精神的健康状況情報の不安ランクは真ん中よりも一つ上であるＢランク以上、という具合である。 In addition, as a background purpose related to mental health, create a situation in which words or gestures that are presumed to be in a state of "relief", "mental stability", "relax" etc. are acquired as external information , To maintain the situation, can be mentioned.
In addition, the mental health situation is good, not only bad, but also relief, anxiety, appreciation, startle, excitement, curiosity, sexual curiosity, calmness, irritability (irritability), wonder (embarrassment), good luck, relaxation, tension, Honor, responsibility, respect, closeness (intimacy), jealousy (demeanor), desire (motivation), fear, courage, pleasure, remorse, satisfaction, frustration, remorse, hate, shame, contempt, jealousy, guilt, murderous intent, expectation There may be a configuration that ranks and holds mental situations such as sense of superiority, inferiority, hate, suffering, sadness, sadness, emotion, anger, hate, despair, hate, emptiness and the like. For example, when the anxiety is second to the worst rank D as mental health status information, the anxiety rank of the mental health status information is B rank or more which is one higher than the middle as a background purpose. It is.
　また、ＳＮＳの写真や映像を分析して、肩をすぼめる、ぽかんとしている、せっかちな様子、渋い顔でいる、あきれている、しりごみしている、ひっかかっている、むっつりしている、ふくれっ面をしている、顔をしかめている、もじもじしている、断固としている、戸惑っている、ひるんでいる、おそるおそるしている、苦々しくしている、じーんとしている、一心不乱にしている、いてもたってもいられないようにしている、動揺している、なげいている、おどけている、うんざりしている、気もそぞろにしている、切ないようにしている、おろおろしている、あぜんとしている、ろうばいしている、ほがらかにしている、おどおどしている、うしろめたそうにしている、開き直っている、わずらわしそうにしている、いぶかしそうにしている、うろたえている、ひがんでいる、ちゅうちょしている、圧倒されている、おおらかにしている、照れている、うらめしそうにしている、あざけている、いきどおっている、しおらしくしている、心もとなさそうにしている、やましそうにしている、あざ笑っている、哀れんでいる、リラックスしている、控え目にしている、いたいけにしている、やり場のない様子にしている、まんざらでもない様子にしている、有頂天になっている、しみじみとしている、気さくにしている、歓喜している、力を抜いて楽にしている、喜んでいる、孤独そうにしている、失望している、妥協している、冷酷にしている、臆病にしている、称賛している、軽蔑している、柔和にしている、大胆にしている、繊細にしている、同調している、平静にしている、憤慨している、ひたむきにしている、という感情を取得し、これからさらに精神的健康状況情報をランキングや数値化して取得するようにルールを定めてもよい。 In addition, analyze photos and videos of SNS, shoulders down, swaying, sloppy, sloppy face, awful face, arrogant, sloppy, sluggish, muddy, puffy I'm doing, I'm frowning, I'm frowning, I'm stunned, I'm embarrassed, hilarious, scolding, sadly, bitter, scolding, irritated Yes, I'm upset, upset, upset, upset, outrageous, disgusted, disgusted, diligent, innocent, downright, Alive, Alive, Apocalypse, Apocalypse, Apocalypse, Apologetic, Apocalypse, Apocalypse Yes, I'm upset, I'm upset, I'm upset, I'm upset, I'm upset, I'm upset, I'm upset, I'm upset, I'm upset, I'm upset, I'm upset! I am serious, I am jealous, I'm laughing, I'm laughing, I'm addicted, relaxed, humble, I'm sorry, I'm making a disappointing look, even though I'm No way, Ecstatic, Ecstatic, Ecstatic, Emotional, Rejoicing, Unrestrained, Ease, Rejoicing, Lonely, Disappointing, Compromise, ruthless, timid, praise, disdain, disappointing, soft, bold, delicate, synchronized, calm Are, are outraged, and the single-minded, to get the feeling that, may be determined the rules to get ranked and quantify the further mental health status information in the future.
　なお、これらの上位概念は体を日常生活の習慣を改善することによって健康な体にし、それを維持する、という上位概念目的である。ユーザに関連して得られる外部情報は、上記背景目的の観点から評価可能な情報に変換される。この背景目的と蓄積された応答対話情報分析コンテンツは多対多の関係で関連付けられるように構成される。例えば、「よく寝た」は、通常の睡眠時間帯であればプラスに判断され、就業時間中の行為であればマイナスに判断されるというようなものである。なお、写真や映像を分析する場合には写真分析プログラム、映像分析プログラムが利用される。多数の写真や映像を意味情報と関連付けて蓄積しておき、各写真や映像と応答対話情報に含まれる写真や映像とのＮ次元空間内での距離を測定する。Ｎ次元とは、その写真や映像の特徴量の種類の数であり、この次元数が大きいほどより正確な推定が可能である。従って、写真や映像の意味をより正確に取得することができ、その後の有効性判断ルールの判断もより正確になる。このように有効性判断は、意味の取得、取得した意味の有効性を背景目的との関係で評価、という手順で行われる。 These high-level concepts are the high-level purpose of making the body a healthy body by improving the habits of daily life and maintaining it. External information obtained in connection with the user is converted into information that can be evaluated from the point of view of the background purpose. The background purpose and the stored response dialogue information analysis content are configured to be associated in a many-to-many relationship. For example, "well slept" is determined to be positive if it is a normal sleep time zone, and it is determined to be negative if it is an activity during working hours. In the case of analyzing a picture or a picture, a picture analysis program or a picture analysis program is used. A large number of photos and videos are associated with semantic information and accumulated, and the distance in N-dimensional space between each photo and video and the photos and videos included in the response dialogue information is measured. The N-dimensional is the number of types of feature quantities of the picture or video, and as the number of dimensions is larger, more accurate estimation is possible. Therefore, the meaning of the picture or the picture can be acquired more accurately, and the judgment of the validity judgment rule thereafter becomes more accurate. As described above, the validity judgment is performed in the order of obtaining meaning and evaluating the validity of the obtained meaning in relation to the background purpose.
　あるいは、ある対話情報の有効性の結果を各ユーザが対話情報に含まれるアドバイスにどの程度近似する行動をとったのか又は、意図が形成されたのか、という近接性から評価することが考えられる。具体的には、アドバイスと完全に同じ行動・思考をとった時あるいは、アドバイスと完全に同じ行動・思考に加えて、アドバイスと矛盾しない追加的行動・思考をとった時は、ユーザの行動とアドバイスの内容の近似値が１００％となるから、５段階評価では最高の評価５となる。アドバイスに従ったが一部異なる行動をしたとか、アドバイスにはないアドバイスとは矛盾する行動をとった場合には、ユーザの行動とアドバイスの内容の近似値が１００％にはならないので、９０％から８０％となり、５段階評価では高評価ではあるが最高には及ばない４となる。ユーザがアドバイスの趣旨に則っているものの、アドバイスとは異なる行動・思考によってその趣旨を実現しており、かつ結果が認められる場合には、ユーザの行動・思考とアドバイスの内容の近似値が５０％から７０％となり、５段階評価ではある程度の効果はある者のその効果が特別良いものとは評価できない３となる。アドバイスに従わないが、殊更アドバイスに矛盾する行動も思考もとらない（すなわち、アドバイスに対して反応がない、アドバイスを無視しているような状態）場合には、ユーザの行動とアドバイスの内容の近似値が２０％から４０％となり、５段階評価ではユーザにとって価値のない表現であることを示す２となる。アドバイスに対して、ユーザがアドバイスに矛盾する行動を積極的にとっているような場合には、ユーザの行動とアドバイスの内容の近似値が０％から１０％となり、５段階評価ではユーザの反発を買う有害な表現として１となる。このような評価を行う方法が考えられる。 Alternatively, it may be possible to evaluate the result of the effectiveness of certain dialogue information from the proximity of how closely each user took an action similar to the advice included in the dialogue information or whether an intention was formed. Specifically, when taking the same action / thinking as the advice, or when taking additional action / think consistent with the advice, in addition to the action / thinking completely with the advice, the action of the user Since the approximate value of the content of the advice is 100%, it is the highest rating 5 in the five-step rating. If you follow the advice but do something different or if it contradicts the advice that is not included in the advice, the approximation between the user's action and the content of the advice will not be 100%, so 90% It is 80% from the above, and it is 4 which is high in the 5-grade evaluation but not the highest. Although the user conforms to the purpose of the advice, if the purpose is realized by an action / think different from the advice and the result is recognized, the approximate value of the user's action / thought and the content of the advice is 50 From 70% to 70%, in a five-point evaluation, the effect of a person who has a certain level of 3 can not be evaluated as exceptionally good. If the user does not follow the advice but does not think of any action that contradicts the special advice (ie, there is no response to the advice or a situation in which the advice is being ignored), The approximate value is from 20% to 40%, and it is 2 that indicates that the expression is worthless in the 5-level evaluation. When the user positively takes action contradictory to advice, the approximate value of the user's action and the content of the advice becomes 0% to 10%, and the user's repulsion is bought in the 5-step evaluation It becomes 1 as a harmful expression. It is conceivable to make such an evaluation.
　また、アドバイス、質問、下記の誘導対話、等の複数の要素が一つの対話情報内に含まれている場合がある。この場合には各要素ごとに有効性を判断することも可能であるし、要素の合計によって有効性を判断することも可能である。複合的に要素を組み合わせて対話情報を出力することによって、組み合わせの相乗効果や阻害効果が発生する場合がある。そこで、相乗効果の程度値、阻害効果の程度値を算出するルールをも有効性判断ルールの内容として含む構成が考えられる。 Also, multiple elements such as advice, questions, and guidance dialogues below may be included in one dialogue information. In this case, it is possible to determine the effectiveness for each element or to determine the effectiveness by the sum of the elements. By combining elements in multiples and outputting dialogue information, a synergetic effect or an inhibition effect of the combination may occur. Therefore, a configuration may be considered in which the degree of synergy effect and the rule for calculating the degree of inhibition are also included as the contents of the effectiveness judgment rule.
　＜誘導対話情報の有効性判断について＞
　さらに、対話情報の有効性は、アドバイスそのものではないが、アドバイスの有効性を上げるために用いられる対話である誘導対話についても判断可能である。誘導対話にはいくつかの類型を持たせておく。類型の例としては、まず、話し手であるシステムに対して注意を惹起する種類の誘導対話、システムに対して好感を持たせる種類の誘導対話、システムに対して興味を持たせる種類の誘導対話、システムからの対話に基づいて何らかの連想を惹起させる種類の誘導対話、システムからの対話に対して何らかの欲望を持たせる種類の誘導対話、システムからの対話に対して何らかの比較をしようとする気持ちを持たせる種類の誘導対話、システムからの対話に対して何らかの確信を抱かせる気持ちを持たせる種類の誘導対話、システムからの対話に対して何らかの決断を惹起させる気持ちを持たせる種類の誘導対話、などを挙げることができる。システムではこれらすべての類型の誘導対話属性を割り当てていなくてもよく、これらの一以上の類型を割り当てていると効果的な統計処理が可能となる。なお、これらの類型（誘導対話属性）は、対話情報蓄積部に対話識別情報と関連付けられて蓄積されていてもよい。また、対話情報の出力のタイミングや対話間のタイミングについても有効性を判断するような構成も考えられる。 <On the judgment of the effectiveness of guidance dialogue information>
Furthermore, the effectiveness of the dialogue information can be determined also for the guidance dialogue which is not the advice itself but the dialogue used to increase the effectiveness of the advice. There are several types of guidance dialogues. As an example of the type, first, a guided dialogue of the type that brings attention to the system that is the speaker, a guided dialogue of the type that gives a sense of favor to the system, a guided dialogue of the type that brings interest to the system, It has a kind of guided dialogue that causes some association based on the dialogue from the system, a kind of guided dialogue that gives some desire to the dialogue from the system, and a feeling that it tries to make some comparison on the dialogue from the system Type of guided dialogue, type of guided dialogue that makes you feel certain about the dialogue from the system, and type of guided dialogue that makes you feel to make any decision to the dialogue from the system, etc. It can be mentioned. The system may not assign all of these types of guidance interaction attributes, and assigning one or more of these types enables effective statistical processing. Note that these types (guided dialog attribute) may be stored in the dialog information storage unit in association with the dialog identification information. In addition, a configuration may also be considered in which the effectiveness is determined with respect to the timing of the output of the dialogue information and the timing between the dialogues.
　誘導対話情報の有効性の判断方法も、アドバイスを含む対話情報と同様に数値評価によって行うことが考えられる。数値評価の数値は、アドバイスを含む対話情報のように、対話に対応する行動が定まっていないことから、ユーザの行動とアドバイスの内容の近接性によって判断することはできない。評価に用いることが可能な要素もより複雑になる。アドバイスを含まない対話情報を連鎖させた終わりにアドバイスを含むユーザの行動があることから、結果的にユーザがアドバイスに従った場合には、そこにつながる対話の流れがユーザにとって効果的であったということが評価可能になる。この場合、連鎖させた対話情報の組み合わせ、アドバイスまでに繰り返した対話の回数、アドバイスを含む対話情報に切り替えることを判断した根拠、選択した対話情報のユーザ属性に合わせたアレンジの内容、アドバイスに対するユーザの応答までの時間、アドバイスに対してユーザが行った文字以外の表現の占める割合、頻度（絵文字、顔文字、スタンプ、写真等）、アドバイスに対してユーザが積極的な質問等を行っているか、等およそ対人会話において人が無意識のうちに判断しているであろうＳＮＳユーザ関連情報から取得可能なありとあらゆる要素が、誘導対話情報の有効性の判断要素となりうる。 It is conceivable that the method of judging the effectiveness of the guidance dialogue information is also carried out by numerical evaluation similarly to the dialogue information including the advice. The numerical value of the numerical evaluation can not be judged by the proximity of the user's action and the content of the advice because the action corresponding to the dialogue is not decided like the dialogue information including the advice. Elements that can be used for evaluation also become more complex. Since the action of the user including the advice is at the end of linking the dialogue information not including the advice, when the user follows the advice as a result, the flow of the dialogue leading there is effective for the user It can be evaluated. In this case, a combination of chained dialogue information, the number of repeated dialogues until advice, the reason for deciding to switch to the dialogue information including advice, the contents of the arrangement according to the user attribute of the selected dialogue information, the user for the advice Time to response, proportion of non-letter expressions made by the user to the advice, frequency (pictograms, emoticons, stamps, photos, etc.), is the user actively asking questions etc. to the advice? Any and all other elements that can be obtained from SNS user related information that a person may unconsciously judge in an interpersonal conversation etc. can be a judgment factor of the effectiveness of the guidance dialogue information.
　なお、アドバイスを含む対話情報におけるアドバイスとユーザの行動の近接性の判断においても、上記に挙げるようなさおよそ対人会話において人が無意識のうちに判断しているであろうＳＮＳユーザ関連情報から取得可能なありとあらゆる要素が近接性の判断要素として有効な要素となりうる。 In addition, in judgment of the proximity of the advice and the user's action in the dialogue information including the advice, it is possible to obtain it from the SNS user related information which would be unconsciously judged by the person in the interpersonal conversation as mentioned above Any and all elements can be effective elements for determining proximity.
　＜ユーザの否定的反応に対する評価＞
　本システムが、対話情報の組み合わせや、アドバイスに至るまでの対話の流れ（誘導対話）、選択に対しても学習をするシステムであることから、ユーザの無反応や否定的な態度に対しても、選択した対話情報の有効性を判断して、ユーザにとって有効な対話情報の選択出力を継続することが可能となる。例えば、ユーザがシステムから出力された対話に対して出力した対話情報が既読であるが無反応である場合や、出力した対話情報の未読の時間が長い場合はにおいて、ＳＮＳ上の友人に対しても一切の応答をしていない場合には、ユーザにとって好ましくないタイミングの出力、好ましくない口調の出力、好ましくないアバターからの出力等であったと考えられるし、同一趣旨の発言を別の形式で行った時の有効性が高かった場合には、ユーザに対して好ましくない対話の流れであった、ユーザに対して好ましくない対話形式の選択を行っていた、といった評価を行うことが可能である。このような各ユーザの否定的反応情報から得られる有効性を基に、否定的反応に対する対話の統計的有効性を取得することが可能である。 <Evaluation of user's negative reaction>
Since this system is a system that also learns the combination of dialogue information, the flow of dialogue leading up to advice (guided dialogue), and selection, it is possible for the user's non-response and negative attitude Then, it is possible to determine the validity of the selected dialogue information and continue the selective output of the dialogue information effective for the user. For example, in the case where the dialogue information outputted by the user with respect to the dialogue outputted from the system is read but unresponsive, or when the unread time of the outputted dialogue information is long, However, if they do not respond at all, it is considered that the output of timing that is undesirable for the user, the output of undesirable tone, the output from an undesirable avatar, etc. If the effectiveness when done is high, it is possible to make an evaluation such as the flow of dialogue that is undesirable for the user, or the selection of dialogue style that is unfavorable for the user. . It is possible to obtain the statistical effectiveness of the dialogue for the negative reaction based on the effectiveness obtained from such negative reaction information of each user.
　否定的反応に対する対話の有効性は、一般的な有効性とは趣を異ならせており、否定的な反応が多くみられる時間帯、対話間のタイミング、対話の口調、対話に利用したアバター（の属性）、ユーザの性格、環境要因、といった一般的な対話環境とは異なる環境で対話情報を出力した時のユーザの一般的でない環境に対する有効性情報となる。すなわち、食事時間には反応しない事が多い、上司に怒られた日には反応しない事が多い、友人と喧嘩をした日には反応しない事が多い、寝起きの時間に反応しない事が多い、などを有効性として取得できる。否定的対話情報に対する有効性の判断を行うために、応答対話情報取得部が、否定的対話情報取得手段を有するように構成することが考えられる。さらに、対話情報有効性判断部が、否定的対話情報有効性判断手段を有するように構成することも考えられる。また前述のとおり対話情報の有効性を判断するに際して、環境要因別に有効性を判断するように構成することも可能である。従って、対話情報の有効性も環境要因別に取得されることとなる。 The effectiveness of the dialogue to negative reaction is different from general effectiveness, and the time zone in which the negative reaction is often seen, the timing between dialogues, the tone of dialogue, the avatar used for dialogue ( Attribute of the user, the nature of the user, environmental factors, etc., the effectiveness information for the non-general environment of the user when the dialog information is output in an environment different from the general environment. That is, they often do not respond to meal times, often do not respond to days when they are angry with their boss, often do not respond to days when they quarrel with friends, often do not respond to time to wake up, Etc can be obtained as the effectiveness. In order to determine the validity of the negative dialogue information, it is conceivable that the response dialogue information acquisition unit is configured to have negative dialogue information acquisition means. Furthermore, it is also conceivable that the dialogue information validity judgment unit is configured to have a negative dialogue information validity judgment means. Further, as described above, when judging the effectiveness of the dialogue information, it is also possible to configure so as to judge the effectiveness for each environmental factor. Therefore, the effectiveness of the dialogue information is also obtained for each environmental factor.
　また、ユーザに対する各種質問と、それに対するユーザからの応答情報、あるいは、ユーザに対する質問を含まない発話と、それに対するユーザからの応答情報に応じてユーザの性格を診断し、その性格をユーザ属性として保持しておくことが考えられる。この性格診断は性格診断ルールを本システムに保持しておき、対話情報とユーザからの応答情報とに応じて性格を診断するように構成することが考えられる。これには、一般的に用いられている性格診断テストを利用することも可能である。性格診断テストとしては、質問紙法、投影法、作業検査法がある。質問紙法とは、質問項目に被検者が答え、回答結果を点数化する事により性格を診断する検査法である。この検査法には、主要5因子性格検査、児童・生徒向け主要５因子性格検査、YG性格検査（矢田部-ギルフォード性格検査）、MMPI（ミネソタ多面人格目録）、MPI（モーズレイ性格検査）、エゴグラムなどがある。投影法としては、比較的あいまいな刺激を用いて、被験者に何らかの課題の達成を求める検査法がる。さらにロールシャッハ・テスト、TAT（主題統覚検査）、バウムテスト（ツリーテスト）、SCT（文章完成法テスト）、P-Fスタディ（絵画欲求不満検査）、CPT（カラー・ピラミッド・テスト）などがある。作業検査法は、被検者にある一定の作業を行わせ、その結果から性格診断をする検査法である。例えば、内田クレペリン精神検査、ブルドン抹消検査などがある。本システムでは、これらの一以上を組み合わせて利用することができる。 In addition, the user's personality is diagnosed according to various questions for the user, the response information from the user, the utterance not including the question for the user, and the response information from the user for the response, and the character is used as a user attribute It is possible to hold it. In this character diagnosis, character diagnosis rules may be stored in the present system and the character may be diagnosed according to the dialogue information and the response information from the user. It is also possible to use a commonly used personality diagnostic test for this. Questionnaire methods, projection methods and work inspection methods are available as personality diagnostic tests. The questionnaire method is a test method in which the subject answers the question items and diagnoses the character by scoring the answer results. This test includes five major factor personality tests, major five factor personality tests for children and students, YG personality test (Yatabe-Gilford personality test), MMPI (Minnesota multifaceted personality list), MPI (Mozley personality test), egogram and so on. As a projection method, there is a test method that requires a subject to achieve some task using relatively vague stimuli. In addition, there are the Rorschach test, TAT (subject theme test), Baum test (tree test), SCT (text completion method test), P-F study (picture frustration test), CPT (color pyramid test) and the like. The work test method is a test method which causes a subject to perform a certain work and diagnoses a character from the result. For example, there are the Uchida-Klepelin mental test and the Bourdon extinction test. In the present system, one or more of these can be used in combination.
＜性格の類型＞
　性格の類型は各種の分類の仕方がある。例えば、気質類型論では、「循環型気質：社交的なときと静かなときが交互に出る、分裂型気質：非社交的、気づかないところと気づくところ両方が出る、粘着型気質：几帳面、やることは凝る」などの分類や、ユングの分類として、「外向的気質：外界の事物に関心が向く。環境適応が早い。周りの意見にあわせる（流される）傾向が強い、内向的気質：内界の主観的要因に関心が向く。思慮深い。周りの意見に左右されないという傾向が強い、思考的気質：知性によって物事を一貫的に捉える機能が強い、感情：好き嫌いで物事を捉える傾向が強い、直観気質：物事の背後の可能性を知覚する機能が強い、感覚気質：生理的刺激による知覚機能が強い」という分類や、ディルタイの分類として、「英雄型、官能型、瞑想型」と分類したり、シュプランガーの分類として、「理論人、経済人、審美人、権力人、宗教人、社会人」と分類したり、エーリヒ・フロムの分類として、「受容的、搾取的、貯蔵的、市場的、生産的」と分類したり、カレン・ホーナイの分類として、「依存的、攻撃的、隔離的」と分類したり、エニアグラムの分類として、「批評家、援助者、遂行者、芸術家、観察者、忠実家、情熱家、挑戦者、調停者」と分類したり、野口晴哉の体癖分類として、「上下型：毀誉褒貶に敏感な頭脳型、左右型：好き嫌いの感情に敏感な消化器型、前後型：利害得失に敏感な呼吸器型、捻れ型：勝ち負けに敏感な、開閉型：愛憎の情に敏感な生殖器型（骨盤型）、遅速型：体が過敏または鈍感なタイプ」など、各種の分類を用いることができ、さらにこれらをミックスして利用することもできる。これらの性格分類をユーザ属性として保持して、この性格分類毎に対話情報と応答情報とを統計分析し、どのような対話情報（導入対話を含む）に対してどのような応答情報があり、対話情報の効果判断がなされるかを分析することで、各属性に対して、否定的な反応がある場合でもどのように導入対話を持ってゆけば（対話選択）すれば効果的かが判断できる。誘導対話の有効性やユーザの否定的反応に対する評価を判断することによって、前述のあきらめないルール又は及びあきらめないプロセスにユーザの属性をより正確に反映させることが可能となり、ユーザに対する粘り強い、繰り返し行われる、あの手この手で攻略する、という対話方法の制度を高めることができる。ユーザの性格に応じた有効性判断ルールに基づく対話情報の選択によって、ユーザの肯定的応答を引き出すまで選択する対話情報の選択や出力態様、出力形式に変化を持たせることが可能となり、否定的応答を行うユーザにも粘り強く対話情報の出力を行い肯定的応答を導くことが可能となる。その結果、肯定的応答を継続させるようにすることが可能となり、肯定的応答をユーザが自然に行うことが可能なように習慣づけることが可能となる。 <Type of personality>
There are various types of character types. For example, in temperament typology, “Circulating temperament: alternating between sociable and quiet times, divisional temperament: non-sociable, both unnoticeable and unnoticeable, sticky temperament: censorship, doing As the classification such as "It's hard to work" or Jung's classification, "Extroverted temperament: Interest in things in the outside world. Environmental adaptation is quick. Inward temperament that tends to be matched (flowed) with surrounding opinions: Internal Focus on subjective factors in the world, thoughtful, strong tendency not to be influenced by surrounding opinions, thinking temperament: strong ability to catch things consistently with intelligence, emotion: strong tendency to catch things, like dislike , Intuition temperament: strong ability to perceive the potential behind things, sensory temperament: perceptual function due to physiological stimulation, or classification as “dirty,” classified as “heroic type, sensual type, meditation type” Do Classification as "Theoreist, business man, essay, power man, religious person, member of society" as Spranger's classification, or "Receptive, Exploitative, Storage, Marketly" as Erich ・ Fromm classification Classification as "productive" or as Karen Honai's classification as "dependent, offensive, separable", or as classification of enneagram, "critician, helper, executor, artist, observation" , Faithful family, passionate people, challengers, mediators, or as classification of Noguchi's Haruki's body classification, "upper and lower type: brain type sensitive to hail, left and right type: sensitive to emotions like dislike Instrumental type, Anteroposterior type: Respiratory type sensitive to loss of interest, Torsion type: Winning or losing sensitivity, Open / close type: Genital type (Pelvis type) sensitive to the affection's emotion (Pelvic type), Slow type: Type with hypersensitive or insensitive body " And so on, and various other classifications can be used It is also possible to use. These character classifications are held as user attributes, and the dialogue information and the response information are statistically analyzed for each of the character classifications, and there is any response information to any dialogue information (including the introduction dialogue), By analyzing whether the effectiveness of the dialogue information is judged, it is judged whether it is effective if the introductory dialogue is held (dialogue selection) even if there is a negative reaction to each attribute. it can. By judging the effectiveness of the guidance dialogue and the evaluation for the negative reaction of the user, it is possible to more accurately reflect the user's attributes in the above-mentioned non-give-up rule and / or the non-give-up process, which makes the user persistent It is possible to enhance the system of dialogue method of attacking with that kind of hand. Selection of dialogue information based on validity judgment rules according to the character of the user makes it possible to change the selection, the output mode and the output form of the dialogue information to be selected until the user's positive response is elicited. It is possible to output dialog information tenaciously to the user who makes a response and to lead an affirmative response. As a result, it is possible to make the positive response continue, and it is possible to make it possible for the user to naturally make a positive response.
　ユーザ属性情報は、ユーザ識別情報に関連付けてユーザ属性情報保持部などに保持されるように構成されるが、このユーザ属性情報は、対話情報と応答情報とユーザ属性情報判断ルールとに基づいてユーザ属性情報保持部に保持されているユーザ属性情報を更新するように構成してもよい。さらに後述する性格診断テストを定期的に又は不定期に実施して（性格診断対話情報等を用いる）この保持されているユーザ属性情報を更新するように構成してもよい。さらに、初期のユーザ属性情報を構成するユーザの性格に関しては、各性格種毎に点数化して保持するようにしたうえで中央値を割り当てたり、ユーザに対してアンケートを行ってそのアンケート結果を保持するように構成することがが考えられる。さらに、性格はＳＮＳの会話情報を会話情報分析ルールに基づいて会話情報分析部によって分析して性格を割り出すように構成してもよい。ＳＮＳ中には友人等との間の膨大な会話が蓄積されているのでこれを有効に利用できる。さらに、ＳＮＳ中に紹介されている読書傾向、映画の好みの傾向、音楽の好み、趣味、好みの芸能人や有名人、などを分析して性格を割り出すように構成してもよい。さらには、チェックインした場所、ユーザ自身が写り込んでいる、又は写り込んでいない写真などを分析して性格を診断することができる。チェックインする場所としては、商業施設（デパート、スーパー、コンビニ、家電量販店、ファストファッション、エステ、美容院）、娯楽施設、競技場、レストラン、美術館、公園、駅、港、空港、国立公園、公立公園などで性格を分析できる。例えば、活動的か、買い物好きか、おとなしいかなどである。写真では、グループ写真が多いか、一人の写真が多いか、風景写真が多いか、食べ物の写真が多いかなどから性格分析が可能となる。なお、性格の分析ルールは設計ポリシーに応じて設計可能である。その他ＳＮＳでつながっている友人の性格に応じてユーザの性格を分析することも可能である。 The user attribute information is configured to be held in a user attribute information holding unit or the like in association with the user identification information, but the user attribute information is a user based on the dialogue information, the response information, and the user attribute information judgment rule. The user attribute information held in the attribute information holding unit may be updated. Furthermore, a character diagnosis test to be described later may be performed regularly or irregularly (using character diagnosis dialogue information or the like) to update the held user attribute information. Furthermore, with regard to the personality of the user who composes the initial user attribute information, a score is stored for each personality type and then a median is assigned or a questionnaire is given to the user and the questionnaire result is retained. It is conceivable to configure it to Furthermore, the character may be configured to analyze the conversation information of the SNS by the conversation information analysis unit based on the conversation information analysis rule to determine the character. Since huge conversations with friends etc. are accumulated in SNS, this can be used effectively. Furthermore, it may be configured to analyze the reading tendency introduced in the SNS, the tendency of the preference of the movie, the preference of the music, the taste, the favorite entertainer or the celebrity, and the like to determine the character. Furthermore, it is possible to analyze the place where the user checked in, the photograph in which the user himself or herself is reflected, or the like and diagnose the character. Places to check in include commercial facilities (department stores, supermarkets, convenience stores, electronics stores, fast fashion, beauty salons, beauty salons), entertainment facilities, stadiums, restaurants, museums, parks, stations, ports, airports, national parks, You can analyze the character in public parks etc. For example, whether it is active, shopping enthusiasts, or something like that. In photographs, it is possible to analyze characters based on whether there are many group photographs, many photographs of one person, many scenery photographs, and many photographs of food. The character analysis rules can be designed according to the design policy. It is also possible to analyze the character of the user according to the character of the friend connected by SNS.
＜実施形態６　対話情報有効性判断部＞
　「対話情報有効性判断部」は、出力された対話情報とこの対話情報に対して取得された応答対話情報と、有効性判断ルールとに基づいて対話情報の有効性を判断する。出力した対話情報に対するユーザの応答対話情報が一致している場合が最も有効性が高くなり、近似性が離れる程有効性は低くなる。複数のアドバイス内容が組み合わせっている、質問とアドバイスが混ざっている、等複数の要素が含まれている時には、各々の要素毎に有効性判断を行うことも可能であるし、複合的に判断を行うことも可能である。また、組み合わせることによって相乗効果や阻害効果が生じる場合も考えられるため、相乗効果の程度や阻害の程度についても判断可能なように構成することが考えられる。相乗効果の程度や阻害の程度は、組み合わされている各要素の有効性を単純に足し合わせた時の有効性の数値と、組み合わせた状態の有効性の数値を比較した時の差分値や割合として取得する方法が考えられる。 Embodiment 6 Dialogue Information Validity Judgment Unit
The “dialogue information validity determination unit” determines the validity of the dialogue information based on the output dialogue information, the response dialogue information acquired for the dialogue information, and the validity determination rule. The case where the user's response dialogue information with respect to the outputted dialogue information matches is the most effective, and the closer it is, the less effective is. When there are multiple elements, such as a combination of multiple advice contents, a mix of questions and advice, etc., it is also possible to judge the effectiveness of each element, and it is possible to make a composite judgment It is also possible to Moreover, since it is also considered that a synergistic effect or an inhibitory effect is produced by combining them, it is conceivable to be able to judge the degree of the synergistic effect or the degree of the inhibition. The degree of synergy and the degree of inhibition are the difference value and the ratio when comparing the numerical value of effectiveness when simply adding the effectiveness of each element to be combined with the numerical value of effectiveness of combined state There is a conceivable way to get it.
　＜実施形態６　ハードウェア構成＞
　図１９は実施形態６のハードウェア構成を示す図である。この図にあるように本発明は、基本的に汎用コンピュータとプログラム、各種デバイスで構成することが可能である。コンピュータの動作は基本的に不揮発性メモリに記録されているプログラムやデータを主メモリにロードして、主メモリとＣＰＵと各種デバイスとで処理を実行していく形態をとる。デバイスとの通信は、バス線と繋がったインターフェイスを介して行われる。この図にある実施形態６のハードウェアを構成するプログラムのうち実施形態５との共通の動作をするプログラムについてはすでに説明済みであるから説明を省略する。本実施形態で新たに加わる「有効性判断ルール保持プログラム」は、有効性判断ルールを保持する。「対話情報有効性判断プログラム」は、有効性判断ルールに基づいて出力した対話情報の有効性を判断する。プログラムのより詳細な動作は各構成の説明で記載される動作を実現するものであり詳細はそちらを参照のこと。これら不揮発性メモリからメインメモリにコピーされた一連のプログラムの実行命令に基づいてこれらのプログラムが順次又は常時実行される。なお、データとしては、ユーザ識別情報（場合によりこれに関連付けられるユーザ属性情報）、外部情報（ＳＮＳユーザ関連情報を含む）、分析ルール、健康状況情報、対話情報、ユーザ別対話情報選択ルール、選択した対話情報、応答対話情報、有効性判断ルール、有効性判断結果、図示しない通信など各種の設定情報等が不揮発性メモリに保持され、主メモリにロードされ、一連のプログラム実行に際して参照され、利用される。 Embodiment 6 Hardware Configuration
FIG. 19 is a diagram showing a hardware configuration of the sixth embodiment. As shown in this figure, the present invention can basically be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. Among the programs constituting the hardware of the sixth embodiment shown in this figure, the program which operates in common with the fifth embodiment has already been described, and hence the description thereof is omitted. The “validity determination rule holding program” newly added in the present embodiment holds the validity determination rule. The "dialogue information validity judgment program" judges the validity of the dialogue information outputted based on the validity judgment rules. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory. As data, user identification information (user attribute information sometimes associated with it), external information (including SNS user related information), analysis rule, health status information, dialogue information, dialogue information selection rule by user, selection Dialogue information, response dialogue information, validity judgment rules, validity judgment results, various setting information such as communication not shown, etc. are held in non-volatile memory, loaded to main memory, referenced in executing a series of programs, and used Be done.
　＜実施形態６　処理の流れ＞
　図２０は、実施形態６の最も基本的な構成の処理の流れを示す図である。この図に示すように、ユーザ識別情報保持ステップ（２００１）、ＳＮＳユーザ関連情報取得ステップ（２００２）、分析ルール保持ステップ（２００３）、健康状況情報分析取得ステップ（２００４）、対話情報蓄積ステップ（２００５）、ユーザ別対話情報選択ルール保持ステップ（２００６）、対話情報選択ステップ（２００７）、対話情報出力ステップ（２００８）、応答対話情報取得ステップ（２００９）、有効性判断ルールを保持する有効性判断ルール保持ステップ（２０１０）、応答対話情報から対話情報の有効性を判断するための対話情報有効性判断ステップ（２０１１）と、からなる。 <Flow of Embodiment 6>
FIG. 20 is a diagram showing the flow of processing of the most basic configuration of the sixth embodiment. As shown in this figure, user identification information holding step (2001), SNS user related information acquisition step (2002), analysis rule holding step (2003), health condition information analysis acquisition step (2004), dialogue information storage step (2005) Dialog information selection rule by user (2006), dialog information selection step (2007), dialog information output step (2008), response dialog information acquisition step (2009), validity judgment rules for holding validity judgment rules And holding step (2010), and a dialog information validity determination step (2011) for determining the validity of the dialog information from the response dialog information.
　＜実施形態７＞
　＜実施形態７　発明の概要＞
　　本実施形態における発明は、請求項６の特徴に加えて、対話情報有効性判断部において、複数のユーザの対話情報の有効性を統計処理するルールを有する。 Seventh Embodiment
<Seventh Embodiment Outline of the Invention>
The invention in this embodiment has, in addition to the features of claim 6, a rule for statistically processing the effectiveness of the dialogue information of a plurality of users in the dialogue information validity judgment unit.
　＜実施形態７　発明の構成＞
　実施形態７の対話式健康促進システムの構成の一例は、図２１に示すように、ユーザ識別情報保持部（２１０１）、ＳＮＳユーザ関連情報取得部（２１０２）、分析ルール保持部（２１０３）、健康状況情報分析取得部（２１０４）、対話情報蓄積部（２１０５）、ユーザ別対話情報選択ルール保持部（２１０６）、対話情報選択部（２１０７）、対話情報出力部（２１０８）、応答対話情報取得部（２１０９）、有効性判断ルール保持部（２１１０）、対話情報有効性判断部（２１１１）、有効性統計処理ルール保持手段（２１１２）、統計的対話情報有効性情報取得手段（２１１３）と、からなる。以下では、実施形態６との共通の構成についての説明は省略し、本実施形態に特徴的な構成について説明する。 Embodiment 7 Configuration of the Invention
One example of the configuration of the interactive health promotion system according to the seventh embodiment is, as shown in FIG. 21, a user identification information holding unit (2101), an SNS user related information acquisition unit (2102), an analysis rule holding unit (2103), health Situation information analysis acquisition unit (2104), dialogue information storage unit (2105), dialogue information selection rule holding unit for each user (2106), dialogue information selection unit (2107), dialogue information output unit (2108), response dialogue information acquisition unit (2109), validity judgment rule holding unit (2110), dialogue information validity judgment unit (2111), validity statistical processing rule holding means (2112), statistical dialogue information validity information acquiring means (2113) Become. In the following, the description of the configuration common to the sixth embodiment is omitted, and the configuration characteristic to the present embodiment will be described.
　＜実施形態７　構成の説明＞
　＜実施形態７　有効性統計処理ルール保持手段＞
　「有効性統計処理ルール保持手段」は、複数のユーザの対話情報の有効性を少なくとも母集団に対して共通の属性ごとに統計処理するルールである有効性統計処理ルールを保持する。すでに述べた対話情報有効性判断部での処理として一般的にはある特定のユーザに対して出力された対話情報に応じて返信される応答対話情報から対話情報のその特定のユーザに対する有効性を個別に判断する、というものが考えられる。しかし、対話情報の有効性は個別の個人との関係で判断できるが、集団を対象として統計的な有効性を判断することもできる。例えば、国や地域によって民族や国民の性質が少しずつ異なるように、同じく国内でも母集団に応じて一定の傾向がでるのは当然である。母集団を例えば日本国民とすると日本国民全体に対して効果が一定程度認められる対話情報を絞り込むことが可能となるし、母集団を、その他の属性に応じて決定して有効な対話情報を絞り込むこともできる。 <Description of the configuration of the seventh embodiment>
<Seventh embodiment effectiveness statistical processing rule holding means>
The “effectiveness statistical processing rule holding means” holds an effective statistical processing rule, which is a rule for statistically processing the effectiveness of interaction information of a plurality of users for each attribute common to at least a population. The effectiveness of the dialog information for that particular user from the response dialog information generally returned in response to the dialog information output to a specific user as processing in the dialog information validity judgment section already described It is conceivable to judge individually. However, although the effectiveness of the dialogue information can be judged in relation to individual individuals, statistical effectiveness can also be judged for a group. For example, it is natural that there is a certain tendency depending on the population in the country as well, so that the nature of the people or people slightly differs depending on the country or region. If the population is, for example, a Japanese national, it is possible to narrow down the dialogue information that can be recognized to a certain extent to the entire Japanese population, determine the population according to the other attributes, and narrow down the effective dialogue information. It can also be done.
　ユーザ属性の取得方法については、実施形態１、実施形態４、実施形態６において説明している。本システムにおいては、ユーザ識別情報に関連付けてそのユーザの何らかの属性情報を保持していることは前提となっている。健康状況情報もこれに含めて考えることもできる。このような属性で母集団を構成し、属性が共通する母集団ごとに有効な対話情報を絞り込むことで、個人個人の対話情報に対する応答情報から見出される対話の有効性よりもさらに精度を上げた有効な対話情報の絞り込み（選択）が可能となる。対話情報統計処理された有効性情報はユーザ属性ごとに取得される。従って、そのユーザ属性を有するユーザ識別情報で識別されるユーザのユーザ別対話情報選択ルールを更新することで、ユーザ属性に応じた対話情報を選択可能に、システムが随時更新されていくことになる。なお、個別ユーザに対する対話情報とその応答情報から見出される有効性の判断結果と、統計的に処理された有効性の判断結果とが矛盾する場合には、ユーザ個別に判断された有効性の結果を優先する。また両者が矛盾しない場合には重み付けをすることによって有効性が高い順を定めるように構成することができる。最も重み付けは個人個人での判断結果を重たくした方が効果的であると考えられるので例えば、個人個人で有効と判断された対話情報に対する重み付けと、統計的処理によって有効と判断される対話情報とに７：３、６：４程度の重み付けをしてユーザ別対話情報選択ルールに組み込むことが考えられる。 The method of acquiring user attributes is described in the first embodiment, the fourth embodiment, and the sixth embodiment. In this system, it is premised that some attribute information of the user is held in association with the user identification information. Health status information can also be included in this. By configuring the population with such attributes and narrowing down the valid dialogue information for each population with common attributes, the accuracy of the dialogue found from the response information to the dialogue information of the individual is further improved It becomes possible to narrow down (select) valid dialogue information. Dialogue information Statistically processed validity information is acquired for each user attribute. Therefore, by updating the user-specific dialog information selection rule of the user identified by the user identification information having the user attribute, the system can be updated as needed so that the dialog information can be selected according to the user attribute. . Note that if there is a contradiction between the dialog information for the individual user and the judgment result of the effectiveness found from the response information and the judgment result of the validity processed statistically, the result of the judgment individually judged by the user Take precedence. When the two do not contradict each other, the weighting can be used to determine the order of high effectiveness. Since it is considered more effective to weight the judgment results of individuals individually, it is effective, for example, to weight information on dialogue information judged to be effective in individuals, and information on dialogue information judged to be effective by statistical processing. It can be considered to incorporate in the user-by-user dialogue information selection rule a weighting of about 7: 3, 6: 4.
　＜有効性統計処理ルールについて＞
　「有効性統計処理ルール」とは、ある対話情報の統計的有効性を取得するためのルールと、ユーザ属性に合わせてアレンジされたユーザ毎に異なる対話情報の同一性を確定するためのルールと、の二つによって構成されている。本システムでは出力する対話情報の形式がユーザの特性に応じて変換されることから、同じ「走ってください」というメッセージを、「ランニングしよう」と変換していたり、「走らないの？」と変換していたり、「５分で自宅（訳１キロの地点にある）に戻ってください」と変換されていたりする。表現方法の異なるこれらの各ユーザへの出力が、「走ってください」と同一性をもっていることを確定しなければ、各ユーザの反応から統計処理を行うための母集団となるデータ群を集約することができない。この集約の概念的な、あるいは表現的な幅は、システムの運用ポリシーに基づいて設定することができる。この幅はまた階層構造的に選択できるように構成してもよい。階層構造としては、例えば最上位がシステムのユーザに対する「意図」であり、その下位にユーザに対して惹起させたい「行動」があり、さらに、その下位に標準語で直接的に表現した場合の「発言（対話）」がり、さらにその下位に標準語で各種の謙譲表現、丁寧表現、尊敬語、対等語、命令形の表現があり、さらにその下位に方言による各種表現があり、さらにその下位に各種間接表現（婉曲、比喩など）がるように構成できる。つまり、例えば「意図」が血液中への酸素の豊富な供給である場合には、惹起させたい行動として「有酸素運動」、「深呼吸」、「酸素カプセルの利用」などがあり、例えば、惹起させたい行動が「有酸素運動」である場合には、その下位の標準語で直接的に表現した場合の「発言（対話）」は、「有酸素運動をしましょう。」「酸素を取り入れる運動をしましょう。」などがあり、さらに例えば発言（対話）が「有酸素運動をしましょう。」の場合には、その下位に「有酸素運動をしていただけますとありがたいです」や「有酸素運動をしていただけますか」や「有酸素運動をしてね。」や「有酸素運動をしろ！」などがある。「有酸素運動をしてね」を方言で表現すると「有酸素運動をしーよー（沖縄弁）」「有酸素運動ばせんね（博多弁）」「有酸素運動をしてな（大阪弁）」などがあり、これらは同一階層に属する対話などの同一性があるものとして統計処理される。 <About the effectiveness statistical processing rules>
The “effectiveness statistical processing rule” is a rule for acquiring statistical effectiveness of a certain dialogue information, and a rule for determining the sameness of dialogue information different for each user arranged in accordance with the user attribute. , Is composed of two. In this system, the format of the dialogue information to be output is converted according to the characteristics of the user, so the same "Please run" message is converted to "Let's run" or "Not run?" Or, it has been converted as "Please return to your home in 5 minutes." If it is not determined that the output to each of these users with different expression methods has the same identity as "Please run", aggregate the data group that is the population for performing statistical processing from each user's reaction I can not do it. The conceptual or expressive width of this aggregation can be set based on the operation policy of the system. This width may also be configured to be selectable hierarchically. In the hierarchical structure, for example, the highest level is the “intention” for the user of the system, and there is “action” that the user wants to cause to the lower level of the “intention”. There are "speaking (dialogue)", and further, there are various expressions of subordination, polite expression, respected words, equal words, imperative forms in the standard word under it, and further there are various expressions according to dialect under that, further below it. Can be configured to have various indirect expressions (folded curves, metaphors, etc.). That is, for example, when "intention" is a rich supply of oxygen in the blood, there are "aerobic exercise", "deep breathing", "use of oxygen capsule", etc. as actions to be elicited, for example, elicitation If the action you want to do is "Aerobic Exercise", "Speak (dialogue)" when directly expressed in the standard language below it, "Let's do aerobic exercise." If, for example, the statement (dialogue) is "Let's do aerobic exercise." There will be "Thank you if you can do aerobic exercise" or " Are you able to exercise? "Are you doing aerobic exercise?" Or "Let's do aerobic exercise!" The words "do aerobic exercise" are expressed in dialect, "do aerobic activity (Okinawa valve)", "aerobic exercise keyword (Hakata valve)", "do aerobic activity (Osaka valve And the like, and these are statistically processed as having identity, such as dialogue belonging to the same hierarchy.
　各ユーザの有効性を取得した後に、その対話情報が一般的にどの程度の有効性（プラス側とマイナス側の両者を含む。）があると判断できるのか、各ユーザの有効性の分布状況から判断することで、統計的有効性を判断することが考えられる。さらに、統計的対話情報有効性判断情報は、誘導対話及びユーザの否定的反応についても統計的有効性を判断可能に構成することができる。誘導対話の有効性やユーザの否定的反応に対する評価を判断することによって、前述のあきらめないルール又は及びあきらめないプロセスにユーザの属性をより正確に反映させることが可能となり、ユーザに対する粘り強い、繰り返し行われる、あの手この手で攻略する、という対話方法の制度を高めることができる。 After obtaining the effectiveness of each user, it is generally determined from the distribution of the effectiveness of each user whether it can be judged that the dialogue information has the effectiveness (both positive and negative sides are included). It is possible to judge statistical effectiveness by judging. Furthermore, the statistical dialogue information validity judgment information can be configured to be able to judge statistical validity also for the guidance dialogue and the negative reaction of the user. By judging the effectiveness of the guidance dialogue and the evaluation for the negative reaction of the user, it is possible to more accurately reflect the user's attributes in the above-mentioned non-give-up rule and / or the non-give-up process, which makes the user persistent It is possible to enhance the system of dialogue method of attacking with that kind of hand.
　＜実施形態７　統計的対話情報有効性情報取得手段＞
　「統計的対話情報有効性情報取得手段」は、複数のユーザの対話情報と、保持されている有効性統計処理ルールとに基づいて、統計的に対話情報の有効性を少なくとも母集団に対して一部は共通のユーザ属性ごとに判断した統計的対話情報有効性情報を取得する。「一部は共通のユーザ属性ごと」とは、全てのユーザ属性に関して共通な母集団を形成できることはまれだからである。ただし、システムの構成によっては全てのユーザ属性について共通である母集団に対して統計処理を行ってもよくこれを含む。対話情報の有効性はユーザ属性、特にユーザの性格（性質）や性別、年齢、場合により住居地方や国籍に応じて決まる傾向があるからである。従って、すでに説明した「性格の類型」で示される各種類型にユーザを分類して対話情報の有効性を統計処理したり、あるいは、「性格の類型」で示される各種性格に当てはまる度合を数値化して対話情報の有効性を統計処理することができる。このような統計処理を行うことで各性格に属するユーザに対してどのような対話情報が有効であるか判明する。また同様の処理が「性別」、「年齢」、「住居地方」、「国籍」に対して行うことができる。さらに「性格」、「性別」、「年齢」、「住居地方」、「国籍」の任意の組合せについて統計処理を行って対話情報の有効性の傾向を把握することも考えられる。また対話情報にはその対話情報の属性（強制強度、口調の強度、意図の明確性、最も強い意図の発話をするタイミングなど）を付して統計処理することで対話情報の有効性のみならず、対話情報に付されている属性に基づいてどのような属性の対話情報が有効性を有するか判断することもできる。なお、「母集団に対して一部は共通のユーザ属性ごとに」の意味は、本明細書（実施形態７、実施形態１７、実施形態２５、実施形態３２、実施形態３６、これらに関する実施形態３０及び実施形態３９に関して同様である。）前述のように、本システムにおいては、ユーザ識別情報に関連付けてそのユーザの何らかの属性情報を保持していることは前提となっていて、このような属性で母集団を構成し、属性が共通する母集団ごとに対話情報の有効性情報をまとめることで、少なくとも母集団に対して一部は共通のユーザ属性ごとに統計的対話情報有効性情報を取得することができる。 <Seventh Embodiment Statistical Dialogue Information Validity Information Acquisition Means>
The “statistical dialogue information validity information acquiring means” statistically compares the effectiveness of the dialogue information to at least the population statistically based on the dialogue information of the plurality of users and the validity statistic processing rules held. Some acquire statistical dialogue information validity information judged for each common user attribute. This is because “one part is for each common user attribute” can rarely form a common population for all user attributes. However, depending on the system configuration, statistical processing may be performed on a population that is common to all user attributes. This is because the effectiveness of the dialogue information tends to be determined according to the user attribute, in particular, the character (characteristics) of the user, the gender, the age, and in some cases the residential region or the nationality. Therefore, the user is classified into each type shown in the "type of character" described above to statistically process the effectiveness of the dialogue information, or the degree of fitting to various characters shown in the "type of character" is quantified. The effectiveness of the dialogue information can be statistically processed. By performing such statistical processing, it is determined what kind of dialogue information is effective for the user belonging to each character. Similar processing can be performed on "sex", "age", "residential area", and "nationality". Furthermore, statistical processing may be performed for any combination of "character", "sex", "age", "residential area", and "nationality" to grasp the tendency of the effectiveness of dialogue information. In addition to the effectiveness of the dialogue information, the dialogue information is statistically processed by adding the attributes of the dialogue information (forced strength, tone strength, clearness of intention, timing when the strongest intention is uttered, etc.) to the dialogue information. It is also possible to determine what kind of attribute dialogue information has validity based on the attribute attached to the dialogue information. In addition, the meaning of “per part of the user attribute common to the population” means the present embodiment ( embodiments 17, 17, 25, 32, 36, and embodiments related thereto). 30 and Embodiment 39.) As described above, in the present system, it is premised that some attribute information of the user is held in association with the user identification information, and such an attribute At least for the population, statistical dialogue information validity information is acquired for each common user attribute by organizing the population and collecting the effectiveness information of the dialogue information for each population having common attributes can do.
　「統計的対話情報有効性情報」とは、統計的に処理された結果、ユーザ属性等に応じて対話の有効度（有効度低から有効度高まで）と、各有効度を有する各種対話情報の種類数を関数として表現した情報であり、一般的に正規分布するものである。つまり、有効度「中」となる対話情報が最も数が多く（有効度平均となる対話情報の種類が最も多い）、逆に有効度「高」及び有効度「低」となる対話情報の数が減るように分布するデータ群である。このデータを用いることによってどのような会話情報がどの程度の有効性を発揮するかを知ることができ、コンピュータとしては利用することができる。対話情報を用いるテーマや目的ごとに、統計的対話情報有効性情報は区別して保持されるとなお良く、対話情報を用いるテーマや目的ごとに複数の情報が存在している。図２２は、統計的対話情報有効性情報の例示の一つである。横軸は、原点より右に行くほど有効性がプラスであり、原点より左に行くほど有効性がマイナスになる。縦軸は、対話情報の種類数を示しており、原点より上に行くほど、種類数が多いことを示す。図に示すように、あるテーマ又は目的、さらにあるユーザ属性を有する母集団の中で、有効性が一応認められる程度の対話情報の表現数（種類の数）が最も多くなり、グラフの山の頂点となる。一方、有効性が非常に高いあるいは有効性が殆ど認められない、あるいは有害である対話情報はそれほど多くはなく、グラフの山の左右の裾野になる。ある程度の有効性が認められる表現は、グラフの山の頂点と右側の裾野の間に存在している。例えば、有効性３に位置していた対話情報の有効性が少し下がると、有効性３に位置していた対話情報が図で示すところの左方向にわずかに移動することになるので、有効性３の山の高さがその対話情報が有効性３に含まれなくなった分低下して、有効性３よりわずかに左にずれた部分がその対話情報が含まれるようになった分上昇する。有効性が少し上がった場合には、図で示すところの右方向に向かって、同様の変化が生じる。統計的対話情報有効性情報発信、統計的対話情報有効性情報を取得するたびに、更新を繰り返す。 "Statistical dialogue information validity information" is a result of processing statistically, according to user attributes etc. effectiveness of dialogue (from low effectiveness to high effectiveness) and various dialogue information having each effectiveness It is information that expresses the number of types of as a function, and is generally normally distributed. In other words, the number of dialog information with the effectiveness "medium" is the largest (the number of types of dialog information that is the average of the effectiveness is the largest), and conversely the number of dialog information with the effectiveness "high" and the effectiveness "low". Is a data group distributed so as to decrease. By using this data, it can be known what kind of conversation information exerts what degree of effectiveness, and it can be used as a computer. Statistical dialogue information validity information is better kept separately for each theme or purpose using dialogue information, and a plurality of pieces of information exist for each theme or purpose using dialogue information. FIG. 22 is one example of statistical dialogue information validity information. On the horizontal axis, the effectiveness is positive as it goes to the right from the origin, and the effectiveness becomes negative as it goes to the left from the origin. The vertical axis indicates the number of types of dialogue information, and the higher the position is from the origin, the larger the number of types. As shown in the figure, in the population having a certain theme or purpose, and a certain user attribute, the number of representations (number of types) of the dialogue information to the extent that the validity is recognized for a while is the highest. It will be the top. On the other hand, there is not much dialog information which is very effective or hardly effective or harmful, and becomes the left and right side of the mountain of the graph. Expressions that show some degree of effectiveness exist between the peak of the graph and the bottom of the right. For example, if the effectiveness of the dialogue information located in the validity 3 decreases slightly, the dialogue information located in the validity 3 will move slightly to the left as shown in the figure, so the effectiveness The height of the mountain of 3 decreases by the fact that the dialogue information is not included in the validity 3, and the part slightly shifted to the left from the validity 3 rises by the fact that the dialogue information is included. If the effectiveness rises a little, a similar change occurs toward the right as shown in the figure. Statistical dialogue information validity information dispatch, update is repeated every time statistical dialogue information validity information is acquired.
　＜実施形態７　ハードウェア構成＞
　図２３は実施形態７のハードウェア構成を示す図である。この図にあるように本発明は、基本的に汎用コンピュータとプログラム、各種デバイスで構成することが可能である。コンピュータの動作は基本的に不揮発性メモリに記録されているプログラムやデータを主メモリにロードして、主メモリとＣＰＵと各種デバイスとで処理を実行していく形態をとる。デバイスとの通信は、バス線と繋がったインターフェイスを介して行われる。この図にある実施形態７のハードウェアを構成するプログラムのうち実施形態６との共通の動作をするプログラムについてはすでに説明済みであるから説明を省略する。本実施形態で新たに加わる「有効性統計処理ルール保持プログラム」は、有効性統計処理ルールを保持する。「統計的対話情報有効性情報取得プログラム」は、有効性統計処理ルールに基づいて統計的対話情報有効性情報を取得する。プログラムのより詳細な動作は各構成の説明で記載される動作を実現するものであり詳細はそちらを参照のこと。これら不揮発性メモリからメインメモリにコピーされた一連のプログラムの実行命令に基づいてこれらのプログラムが順次又は常時実行される。なお、データとしては、ユーザ識別情報（場合によりこれに関連付けられるユーザ属性情報）、外部情報（ＳＮＳユーザ関連情報を含む）、分析ルール、健康状況情報、対話情報、ユーザ別対話情報選択ルール、選択した対話情報、応答対話情報、有効性判断ルール、有効性判断結果、有効性統計処理ルール、統計的対話情報有効性情報、図示しない通信など各種の設定情報等が不揮発性メモリに保持され、主メモリにロードされ、一連のプログラム実行に際して参照され、利用される。 Seventh Embodiment Hardware Configuration
FIG. 23 is a diagram showing a hardware configuration of the seventh embodiment. As shown in this figure, the present invention can basically be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. Among the programs constituting the hardware of the seventh embodiment shown in this figure, the program which operates in common with the sixth embodiment has already been described, and hence the description thereof is omitted. The “effectiveness statistical processing rule holding program” newly added in this embodiment holds the effective statistical processing rules. The “statistical dialogue information validity information acquisition program” acquires statistical dialogue information validity information based on the validity statistical processing rules. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory. As data, user identification information (user attribute information sometimes associated with it), external information (including SNS user related information), analysis rule, health status information, dialogue information, dialogue information selection rule by user, selection Dialogue information, response dialogue information, validity judgment rules, validity judgment results, validity statistical processing rules, statistical dialogue information validity information, various setting information such as communication not shown, etc. are held in the non-volatile memory. It is loaded into memory, referenced and used when executing a series of programs.
　＜実施形態７　処理の流れ＞
　図２４は、実施形態７の最も基本的な構成の処理の流れを示す図である。この図に示すように、ユーザ識別情報保持ステップ（２４０１）、ＳＮＳユーザ関連情報取得ステップ（２４０２）、分析ルール保持ステップ（２４０３）、健康状況情報分析取得ステップ（２４０４）、対話情報蓄積ステップ（２４０５）、ユーザ別対話情報選択ルール保持ステップ（２４０６）、対話情報選択ステップ（２４０７）、対話情報出力ステップ（２４０８）、応答対話情報取得ステップ（２４０９）、有効性判断ルール保持ステップ（２４１０）、対話情報有効性判断ステップ（２４１１）、対話情報有効性判断部において複数のユーザの対話情報の有効性を統計処理するルールを保持するための有効性統計処理ルール保持サブステップ（２４１２）、複数のユーザの対話情報と、保持されている有効性統計処理ルールとに基づいて、統計的に対話情報の有効性を判断した統計的対話情報有効性情報を取得する統計的対話情報有効性情報取得サブステップ（２４１３）と、からなる。 Seventh Embodiment Process Flow
FIG. 24 is a diagram showing a process flow of the most basic configuration of the seventh embodiment. As shown in this figure, user identification information holding step (2401), SNS user related information acquisition step (2402), analysis rule holding step (2403), health condition information analysis acquisition step (2404), dialogue information accumulation step (2405) Dialog information selection rule by user (2406), dialogue information selection step (2407), dialogue information output step (2408), response dialogue information acquisition step (2409), validity judgment rule retention step (2410), dialogue Information validity judgment step (2411), validity statistics processing rule holding substep (2412) for holding rules for statistically processing validity of dialogue information of a plurality of users in a dialogue information validity judgment unit, a plurality of users Interaction information and the effectiveness statistics processing rules that are retained Zui, a statistically interactive information validity information acquiring substep for acquiring the statistical dialog information validity information determines the validity of statistical interactive information (2413), consisting of.
　＜実施形態８＞
　＜実施形態８　概要＞
　本実施形態における発明は、実施形態６の構成に加えて、ＡＩを用いて、出力した健康促進アドバイスの有効性から、健康促進アドバイスを選択するルールを更新する機能を有する。図２５は、本実施形態におけるＡＩの働きの概要を示す概念図である。本件対話式健康促進システムは、個人の特性を反映させたユーザ別対話情報選択ルールを保持している。ここに反映されるユーザごとの個人の特性は、会話の際の言葉遣いという対話情報の形式、健康状況情報に対応する健康促進アドバイス内容である対話情報の内容の、両方に反映されることになる。 Eighth Embodiment
Eighth Embodiment Outline
The invention in this embodiment has, in addition to the configuration of the sixth embodiment, a function of using AI to update a rule for selecting health promotion advice from the effectiveness of the outputted health promotion advice. FIG. 25 is a conceptual view showing an outline of the function of the AI in the present embodiment. The present interactive health promotion system holds user-specific dialogue information selection rules reflecting individual characteristics. The personal characteristics of each user reflected here are reflected in both the form of dialogue information such as verbal wording during conversation and the contents of dialogue information which is health promotion advice contents corresponding to health condition information. Become.
　図２５は、複数ある対話情報の中から、一つの対話情報を選択し、その選択に対するユーザの対応に応じて選択のルールが変更される過程を概念的に示す図である。図に示すように、対話情報群を横軸（２５０１）にして、対話情報の有効性を縦軸（２５０２）にすると、対話情報の有効性は凸凹した波型（２５０３）で表現される。最も有効度の高い対話情報の有効度が、複数ある波の山の最も高い頂点（２５０４）となる。山の頂点の周辺の対話情報は、同義の対話情報であり、頂点から離れるにしたがって徐々に有効度が低くなる。対話情報選択ルールでは、まず大まかな対話情報として、どの対話情報群の領域（２５０５）の対話情報を選択するかを決定し、選択された対話情報群領域の中で最も有効度が高いものを選択する。対話情報を選択して出力した後、ユーザの応答対話情報を取得することで、選択した対話情報の有効性を取得することができる。対話情報蓄積部に蓄積されているその他の対話情報に比して、応答対話情報から有効が確認された選択肢は、選択の有効性の確度が高くなる。したがって、山の頂点がさらに高い位置（２５０６）になるように、選択ルールが更新される。対話情報蓄積部に蓄積されているその他の対話情報に比して、応答対話情報から有効ではないことが確認された選択肢は、選択の有効性の確度が低くなる。したがって、山の頂点が選択前より低い位置（２５０７）になるように、選択ルールが更新される。あるいは、例えばユーザＸについて未だルールを取得していない健康状況情報が取得された場合には、健康状況情報が類似するすでに取得しているルールを組み合わせることによって、対話情報の選択を行う（疑似的に対話情報群及び有効性の山を形成し、頂点の対話情報を選択する）。出力した対話情報に対する応答結果に対応する新しいルールが取得される（疑似的な対話情報群及び有効性の山を実際の応答対話情報に則して修正、再構成する）。有効性は、健康状況情報に基づいて判断される有効性、その他応答対話情報に基づいて判断される有効性と、その基づく情報別に保持されるように構成されていてもよい。さらに有効性は、対話情報として選択すべき頻度、誘導対話中に対話情報として選択すべき回数、のように表現されるものであってもよい。さらに有効性は、発言者であるアバターや、発言形式に応じて関連付けられるように構成してもよい。 FIG. 25 is a diagram conceptually showing a process of selecting one piece of interaction information from among a plurality of pieces of interaction information, and changing the rule of selection in accordance with the user's response to the selection. As shown in the figure, when the dialogue information group is taken on the horizontal axis (2501) and the effectiveness of the dialogue information is taken on the vertical axis (2502), the effectiveness of the dialogue information is expressed in a corrugated waveform (2503). The most effective dialogue information is the highest peak (2504) of wave peaks. The dialogue information around the peak of the mountain is synonymous dialogue information, and its effectiveness becomes gradually lower as it goes away from the apex. The dialogue information selection rule first determines which dialogue information of the dialogue information group area (2505) is selected as rough dialogue information, and the most effective one of the selected dialogue information group areas is selected. select. By selecting and outputting the dialogue information, it is possible to acquire the validity of the selected dialogue information by acquiring the user's response dialogue information. As compared with other dialogue information stored in the dialogue information storage unit, the option whose validity has been confirmed from the response dialogue information has higher certainty of the validity of the selection. Therefore, the selection rule is updated so that the top of the mountain is at a higher position (2506). As compared with other dialogue information stored in the dialogue information storage unit, the option confirmed to be invalid from the response dialogue information is less certain in the validity of the selection. Therefore, the selection rule is updated so that the top of the mountain is at a lower position (2507) before the selection. Alternatively, for example, when health status information for which the user X has not yet obtained a rule is acquired, the dialog information is selected by combining already acquired rules having similar health status information (pseutically Form a pile of dialogue information and validity, and select dialogue information at the top). A new rule corresponding to the response result to the output dialogue information is acquired (the pseudo dialogue information group and the validity group are corrected and reconstructed according to the actual reply dialogue information). The effectiveness may be configured to be held separately for the effectiveness determined based on the health condition information, the effectiveness determined based on other response dialogue information, and the information based thereon. Further, the effectiveness may be expressed as frequency to be selected as dialogue information, and the number of times to be selected as dialogue information during guidance dialogue. Further, the validity may be configured to be associated according to the avatar as the speaker and the type of speech.
＜実施形態８　発明の構成＞
　実施形態８の対話式健康促進システムの構成の一例は、図２６に示すように、ユーザ識別情報保持部（２６０１）、ＳＮＳユーザ関連情報取得部（２６０２）、分析ルール保持部（２６０３）、健康状況情報分析取得部（２６０４）、対話情報蓄積部（２６０５）、ユーザ別対話情報選択ルール保持部（２６０６）、対話情報選択部（２６０７）、対話情報出力部（２６０８）、応答対話情報取得部（２６０９）、有効性判断ルール保持部（２６１０）、対話情報有効性判断部（２６１１）、ユーザ別対話情報選択ルール更新部（２６１２）と、からなる。以下では、実施形態６又は実施形態７との共通の構成の説明は省略し、本実施形態に特徴的な構成について説明する。 Embodiment 8 Configuration of the Invention
One example of the configuration of the interactive health promotion system according to the eighth embodiment is, as shown in FIG. 26, a user identification information holding unit (2601), an SNS user related information acquisition unit (2602), an analysis rule holding unit (2603), health Situation information analysis acquisition unit (2604), dialogue information storage unit (2605), dialogue information selection rule holding unit for each user (2606), dialogue information selection unit (2607), dialogue information output unit (2608), response dialogue information acquisition unit (2609) The validity judgment rule holding unit (2610), the dialogue information validity judgment unit (2611), and the user-by-user dialogue information selection rule updating unit (2612). In the following, the description of the configuration common to the sixth embodiment or the seventh embodiment is omitted, and the configuration characteristic to the present embodiment will be described.
＜実施形態８　構成の説明＞
＜実施形態８　ユーザ別対話情報選択ルール更新部＞
　「ユーザ別対話情報選択ルール更新部」は、有効性判断結果に基づいてユーザ別対話情報選択ルール保持部に保持されているユーザ別対話情報選択ルールを更新する。図２７は、実施形態８における選択ルールを更新するＡＩ（人工知能）の働きの概要を示す概念図である。本件対話式学習促進システムは、個人の特性を反映させたユーザ別対話情報選択ルールを保持している。ここに反映されるユーザごとの個人の特性は、会話の際の言葉遣いという対話情報の形式、健康状況情報に対応する対話情報の内容、対話情報の出力のタイミング、対話情報の出力間隔、誘導対話の並べ方、あきらめないプロセス（同一意図の対話情報の繰り返し）、対話情報を出力するアバターなどの選択などに反映されることになる。図に示すように、ユーザＸ（２７０１）について、健康状況情報Ａ（２７０２）のとき、「今日のランチは食べ過ぎないようにね。」という対話情報を選択するルール１（２７０３）、健康状況情報Ｂ（２７０４）のとき、「気分転換に１つ先の駅まで歩こう。」という対話情報を選択するルール２（２７０５）、健康状況情報Ｃ（２７０６）のとき、「今日は無理しないでしっかりご飯を食べて、早く休もう。」という対話情報を選択するルール３（２７０７）がユーザ別対話情報選択ルールとして保持されているとする。 <Description of Configuration of Eighth Embodiment>
<Eighth Embodiment User-specific dialog information selection rule updating unit>
The "user-by-user dialog information selection rule updating unit" updates the user-by-user dialog information selection rule held in the user-by-user dialog information selection rule holding unit based on the validity determination result. FIG. 27 is a conceptual diagram showing an outline of the operation of AI (Artificial Intelligence) that updates the selection rule in the eighth embodiment. The present interactive learning promotion system holds user-specific dialogue information selection rules reflecting personal characteristics. Individual characteristics of each user reflected here are the form of dialogue information such as wording in conversation, the contents of dialogue information corresponding to health status information, the timing of outputting dialogue information, the output interval of dialogue information, guidance It will be reflected in the arrangement of the dialogue, the process which does not give up (the repetition of the dialogue information of the same intention), the choice of the avatar etc which outputs dialogue information, etc. As shown in the figure, for the user X (2701), when it is the health status information A (2702), the rule 1 (2703) of selecting the dialogue information that "don't eat too much for today's lunch." In the case of information B (2704), in the case of rule 2 (2705) which selects dialogue information saying "I will walk to the station one step ahead for a change of mind" and health status information C (2706) It is assumed that Rule 3 (2707) for selecting dialogue information "I will eat rice firmly and rest early" is held as a user-by-user dialogue information selection rule.
　これまでに取得したことのない健康状況情報Ｄ（２７０８）は、健康状況情報Ｂの具体的な内容と、肉体的健康の差が１、精神的健康の差が１、睡眠時間に２の違いがあるが、あとは一致している。一方、健康状況情報Ａの具体的な内容とは、肉体的健康が一致しており、あとは異なっている。健康状況情報Ｃの具体的内容とは、睡眠時間が一致し精神的健康の数値が近く、あとは異なっている。以上の情報から、関連するルールとしてルール１、ルール２、ルール３を挙げることができるが、最も情報に類似性の多いルール２を基本として、「気分転換に１つ先の駅まで歩いて帰ろう。」という対話情報（２７０９）を選択して出力する。出力された対話情報に対して、応答対話情報取得部が「帰り道、いい感じのバーを見つけて飲んじゃった」という応答対話情報（２７１０）を取得した時には、気分転換はしているが、散歩してカロリー消費を促したこととの関係では有効性が低いので、対話情報有効性判断結果として２点（２７１１）が取得される。この対話情報有効性判断結果を受けて、健康状況情報Ｄが取得された時には「気分転換に１つ先の駅まで歩いて帰ろう。寄り道しないでね！」という対話情報を選択するという新しいルール（２７１２）が取得されることになり、更新ユーザ別対話情報選択ルールが取得され、ユーザ別対話情報選択ルール保持部保持されているユーザ別対話情報選択ルールが更新される。 The health status information D (2708) that has not been acquired so far is the difference between the specific content of the health status information B and the physical health, the difference between mental health and the difference between 1 and the sleeping time. But there is a match. On the other hand, the physical health is the same as the specific content of the health condition information A, and the other is different. The specific content of the health status information C is the same as the sleep time, and the mental health values are similar, and the rest are different. From the above information, rules 1, 2 and 3 can be mentioned as related rules, but on the basis of rule 2 with the most similarity to the information, "walk to the station ahead one turn for reversion and return Dialog information (2709) is selected and output. When the response dialogue information acquisition unit acquires response dialogue information (2710) that "I found a bar with a good feeling and drank" in response to the outputted dialogue information, I am changing my mood, but I take a walk. Since the effectiveness is low in relation to prompting calorie consumption, two points (2711) are obtained as a result of the dialog information validity judgment. Based on the result of this dialog information validity judgment, when health status information D is obtained, a new rule is to select the dialog information "Let's go back to the station one step ahead for change of mind. (2712) is acquired, the update user classified dialogue information selection rule is acquired, and the user classified dialogue information selection rule holding unit is held and the user classified dialogue information selection rule is updated.
＜実施形態８　ハードウェア構成＞
　図２８は実施形態８のハードウェア構成を示す図である。この図にあるように本発明は、基本的に汎用コンピュータとプログラム、各種デバイスで構成することが可能である。コンピュータの動作は基本的に不揮発性メモリに記録されているプログラムやデータを主メモリにロードして、主メモリとＣＰＵと各種デバイスとで処理を実行していく形態をとる。デバイスとの通信は、バス線と繋がったインターフェイスを介して行われる。この図にある実施形態８のハードウェアを構成するプログラムのうち実施形態６又は実施形態７との共通の動作をするプログラムについてはすでに説明済みであるから説明を省略する。本実施形態で新たに加わる「ユーザ別対話情報選択ルール更新プログラム」は、有効性判断結果に基づいてユーザ別対話情報選択ルールを更新する。プログラムのより詳細な動作は各構成の説明で記載される動作を実現するものであり詳細はそちらを参照のこと。これら不揮発性メモリからメインメモリにコピーされた一連のプログラムの実行命令に基づいてこれらのプログラムが順次又は常時実行される。なお、データとしては、ユーザ識別情報（場合によりこれに関連付けられるユーザ属性情報）、外部情報（ＳＮＳユーザ関連情報を含む）、分析ルール、健康状況情報、対話情報、ユーザ別対話情報選択ルール、選択した対話情報、応答対話情報、有効性判断ルール、有効性判断結果、更新ユーザ別対話情報選択ルール、図示しない通信など各種の設定情報等が不揮発性メモリに保持され、主メモリにロードされ、一連のプログラム実行に際して参照され、利用される。 Eighth Embodiment Hardware Configuration
FIG. 28 is a diagram showing a hardware configuration of the eighth embodiment. As shown in this figure, the present invention can basically be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. Among the programs constituting the hardware of the eighth embodiment shown in this figure, the programs which operate in common with the sixth embodiment or the seventh embodiment have already been described, and hence the description thereof is omitted. The "user-by-user dialog information selection rule update program" newly added in the present embodiment updates the user-by-user dialog information selection rule based on the validity determination result. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory. As data, user identification information (user attribute information sometimes associated with it), external information (including SNS user related information), analysis rule, health status information, dialogue information, dialogue information selection rule by user, selection The dialog information, response dialog information, validity judgment rule, validity judgment result, update user dialog information selection rule, various setting information such as communication not shown, etc. are held in non-volatile memory and loaded to main memory. Is referred to and used when executing the program of
＜実施形態８　処理の流れ＞
　図２９は、実施形態８の最も基本的な構成の処理の流れを示す図である。この図に示すように、ユーザ識別情報保持ステップ（２９０１）、ＳＮＳユーザ関連情報取得ステップ（２９０２）、分析ルール保持ステップ（２９０３）、健康状況情報分析取得ステップ（２９０４）、対話情報蓄積ステップ（２９０５）、ユーザ別対話情報選択ルール保持ステップ（２９０６）、対話情報選択ステップ（２９０７）、対話情報出力ステップ（２９０８）、応答対話情報取得ステップ（２９０９）、有効性判断ルール保持ステップ（２９１０）、対話情報有効性判断ステップ（２９１１）、取得した対話情報有効性判断結果をもとにユーザ別対話情報選択ルールを更新するユーザ別対話情報選択ルール更新プログラム（２９１２）と、からなる。 <Flow of Embodiment 8>
FIG. 29 is a diagram showing a process flow of the most basic configuration of the eighth embodiment. As shown in this figure, user identification information holding step (2901), SNS user related information acquisition step (2902), analysis rule holding step (2903), health condition information analysis acquisition step (2904), dialogue information storage step (2905) Dialog information selection rule by user (2906), dialogue information selection step (2907), dialogue information output step (2908), response dialogue information acquisition step (2909), validity judgment rule retention step (2910), dialogue The information validity judgment step (2911), and the user-specific dialogue information selection rule updating program (2912) for updating the user-specific dialogue information selection rule based on the acquired dialogue information validity judgment result.
＜実施形態９＞
＜実施形態９　発明の概要＞
　本実施形態における発明は、実施形態７に記載した特徴に加えて、取得した統計的対話情報有効性情報に基づいて、ユーザ別対話情報選択ルールを更新することで、ユーザの個性に応じた対話情報の選択が可能となる。 <Embodiment 9>
<Summary of the Invention>
The invention according to the present embodiment, in addition to the feature described in the seventh embodiment, updates the dialog information selection rule by user based on the acquired statistical dialog information validity information, thereby a dialog according to the individuality of the user It is possible to select information.
＜実施形態９　発明の構成＞
　実施形態９の対話式健康促進システムの構成の一例は、図３０に示すように、ユーザ識別情報保持部（３００１）、ＳＮＳユーザ関連情報取得部（３００２）、分析ルール保持部（３００３）、健康状況情報分析取得部（３００４）、対話情報蓄積部（３００５）、ユーザ別対話情報選択ルール保持部（３００６）、対話情報選択部（３００７）、対話情報出力部（３００８）、応答対話情報取得部（３００９）、有効性判断ルール保持部（３０１０）、対話情報有効性判断部（３０１１）、有効性統計処理ルール保持手段（３０１２）、統計的対話情報有効性情報取得手段（３０１３）、統計的ユーザ別対話情報選択ルール更新部（３０１４）、とからなる。以下では、実施形態７又は実施形態８との共通の構成の説明は省略し、本実施形態に特徴的な構成について説明する。 <Embodiment 9 Configuration of the Invention>
As an example of the configuration of the interactive health promotion system of the ninth embodiment, as shown in FIG. 30, a user identification information holding unit (3001), an SNS user related information acquisition unit (3002), an analysis rule holding unit (3003), Situation information analysis acquisition unit (3004), dialogue information storage unit (3005), dialogue information selection rule holding unit for each user (3006), dialogue information selection unit (3007), dialogue information output unit (3008), response dialogue information acquisition unit (3009), validity judgment rule holding unit (3010), dialogue information validity judging unit (3011), validity statistical processing rule holding means (3012), statistical dialogue information validity information acquiring means (3013), statistical And a dialog information selection rule update unit for each user (3014). In the following, the description of the configuration common to the seventh embodiment or the eighth embodiment is omitted, and the configuration characteristic to the present embodiment will be described.
＜実施形態９　構成の説明＞
＜実施形態９　統計的ユーザ別対話情報選択ルール更新部＞
　「統計的ユーザ別対話情報選択ルール更新部」は、取得した統計的対話情報有効性情報に基づいてユーザ別対話情報選択ルール保持部に保持されているユーザ別対話情報選択ルールを更新する。統計的対話情報有効性情報は、ユーザに出力する対話情報の選択に利用される。従って、統計的対話情報有効性情報はユーザ別対話情報選択ルールの更新時に反映されるべき情報ということになる。ユーザ別対話情報選択ルールは、統計的対話情報有効性情報、又は／及び有効性判断結果によって更新される。
　なお、ユーザ別に単独で取得された対話情報の有効性と、統計的処理によって得られた対話情報の有効性を、対話情報選択ルールにどのように反映させるかは、システムの設計思想による。有効性をユーザ個別の学習効果情報や学習履歴情報、応答対話情報に基づいて取得している場合には、その有効性の信頼度例えばＰ値、有意水準（統計用語）を比較して信頼度の大きさに応じて反映させる重み付けをするように設計することが考えられる。なお、統計的にユーザ別対話情報選択ルールを更新する場合には本明細書の全体を通じて同様に設計することができるものとする。 <Description of the configuration of the ninth embodiment>
<Embodiment 9: Statistical user-specific dialogue information selection rule updating unit>
The “statistical user-specific dialogue information selection rule updating unit” updates the user-specific dialogue information selection rule held in the user-specific dialogue information selection rule holding unit based on the acquired statistical dialogue information validity information. Statistical dialogue information validity information is used to select dialogue information to be output to the user. Therefore, the statistical interaction information validity information is information to be reflected when the user-specific interaction information selection rule is updated. The user-by-user dialogue information selection rule is updated by statistical dialogue information validity information or / and validity judgment results.
Note that the effectiveness of the dialogue information independently acquired for each user and how to reflect the effectiveness of the dialogue information acquired by the statistical processing in the dialogue information selection rule depends on the design concept of the system. When the effectiveness is acquired based on the learning effect information, learning history information, and response dialogue information specific to the user, the reliability of the effectiveness, for example, the P value or the significance level (statistical term) is compared to the reliability. It is conceivable to design the weighting to be reflected according to the size of. When the user-specific dialogue information selection rule is statistically updated, the same design can be made throughout the present specification.
＜実施形態９　ハードウェア構成＞
　図３１は実施形態９のハードウェア構成を示す図である。この図にあるように本発明は、基本的に汎用コンピュータとプログラム、各種デバイスで構成することが可能である。コンピュータの動作は基本的に不揮発性メモリに記録されているプログラムやデータを主メモリにロードして、主メモリとＣＰＵと各種デバイスとで処理を実行していく形態をとる。デバイスとの通信は、バス線と繋がったインターフェイスを介して行われる。この図にある実施形態９のハードウェアを構成するプログラムのうち実施形態７又は実施形態８との共通の動作をするプログラムについてはすでに説明済みであるから説明を省略する。本実施形態で新たに加わる「統計的ユーザ別対話情報選択ルール更新プログラム」は、統計的対話情報有効性情報に基づいてユーザ別対話情報選択ルールを更新する。プログラムのより詳細な動作は各構成の説明で記載される動作を実現するものであり詳細はそちらを参照のこと。これら不揮発性メモリからメインメモリにコピーされた一連のプログラムの実行命令に基づいてこれらのプログラムが順次又は常時実行される。なお、データとしては、ユーザ識別情報（場合によりこれに関連付けられるユーザ属性情報）、外部情報（ＳＮＳユーザ関連情報を含む）、分析ルール、健康状況情報、対話情報、ユーザ別対話情報選択ルール、選択した対話情報、応答対話情報、有効性判断ルール、有効性判断結果、有効性統計処理ルール、統計的対話情報有効性情報、更新ユーザ別対話情報選択ルール、図示しない通信など各種の設定情報等が不揮発性メモリに保持され、主メモリにロードされ、一連のプログラム実行に際して参照され、利用される。 Embodiment 9 Hardware Configuration
FIG. 31 is a diagram showing the hardware configuration of the ninth embodiment. As shown in this figure, the present invention can basically be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. Among the programs constituting the hardware of the ninth embodiment shown in this figure, the programs which operate in common with the seventh embodiment or the eighth embodiment have already been described, and hence the description thereof is omitted. The “statistical user-specific dialogue information selection rule update program newly added in this embodiment” updates the user-specific dialogue information selection rule based on the statistical dialogue information validity information. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory. As data, user identification information (user attribute information sometimes associated with it), external information (including SNS user related information), analysis rule, health status information, dialogue information, dialogue information selection rule by user, selection Dialogue information, response dialogue information, validity judgment rules, validity judgment results, validity statistical processing rules, statistical dialogue information validity information, update user-specific dialogue information selection rules, various settings information such as communication not shown It is held in the non-volatile memory, loaded into the main memory, and referenced and used in executing a series of programs.
　＜実施形態９　処理の流れ＞
　図３２は、実施形態９の最も基本的な構成の処理の流れを示す図である。この図に示すように、ユーザ識別情報保持ステップ（３２０１）、ＳＮＳユーザ関連情報取得ステップ（３２０２）、分析ルール保持ステップ（３２０３）、健康状況情報分析取得ステップ（３２０４）、対話情報蓄積ステップ（３２０５）、ユーザ別対話情報選択ルール保持ステップ（３２０６）、対話情報選択ステップ（３２０７）、対話情報出力ステップ（３２０８）、応答対話情報取得ステップ（３２０９）、有効性判断ルール保持ステップ（３２１０）、対話情報有効性判断ステップ（３２１１）、有効性統計処理ルール保持サブステップ（３２１２）、統計的対話情報有効性情報取得サブステップ（３２１３）、取得した統計的対話情報有効性情報に基づいてユーザ別対話情報選択ルールを更新する統計的ユーザ別対話情報選択ルール更新ステップ（３２１４）と、からなる。 <Flow of Embodiment 9>
FIG. 32 is a diagram showing the flow of processing of the most basic configuration of the ninth embodiment. As shown in this figure, user identification information holding step (3201), SNS user related information acquisition step (3202), analysis rule holding step (3203), health condition information analysis acquisition step (3204), dialogue information accumulation step (3205) Dialog information selection rule by user (3206), dialogue information selection step (3207), dialogue information output step (3208), response dialogue information acquisition step (3209), validity judgment rule retention step (3210), dialogue Information validity judgment step (3211), validity statistical processing rule holding substep (3212), statistical dialogue information validity information acquisition substep (3213), dialogue by user based on the acquired statistical dialogue information validity information Statistical user-specific dialogue information selection for updating information selection rules And Lumpur updating step (3214), consisting of.
＜実施形態１０＞
＜実施形態１０　概要＞
　本実施形態における発明は、実施形態１を方法的に記載した発明であり、基本的には実施形態１の発明のカテゴリをコンピュータの動作方法として表現したものである。 <Embodiment 10>
<Embodiment 10 Outline>
The invention in the present embodiment is an invention in which the first embodiment is described in a method manner, and basically, the category of the invention of the first embodiment is expressed as an operation method of a computer.
＜実施形態１０　発明の構成＞
　図３３は、実施形態１０の対話式健康促進システムの動作方法の最も基本的な構成を示す図である。図に示すように、ＳＮＳユーザ関連情報を外部情報として取得するＳＮＳユーザ関連情報取得ステップ（３３０１）、分析ルールの分析に従いに基づいて健康状況情報を取得する健康状況情報分析取得ステップ（３３０２）、取得した健康状況情報とユーザ別対話情報選択ルールに基づいて対話情報を選択する対話情報選択ステップ（３３０３）、選択した対話情報を出力する対話情報出力ステップ（３３０４）と、からなる。 Embodiment 10 Configuration of the Invention
FIG. 33 is a diagram showing the most basic configuration of the operation method of the interactive health promotion system of the tenth embodiment. As shown in the figure, SNS user related information acquisition step (3301) for acquiring SNS user related information as external information, health condition information analysis acquisition step (3302) for acquiring health condition information based on analysis of analysis rules, The dialog information selection step (3303) for selecting the dialog information based on the acquired health condition information and the user-specific dialog information selection rule, and the dialog information output step (3304) for outputting the selected dialog information.
＜実施形態１１＞
＜実施形態１１　概要＞
　本実施形態における発明は、実施形態１を方法的に記載した発明であり、基本的には実施形態１の発明のカテゴリをコンピュータの動作プログラムとして表現したものである。 Embodiment 11
<Embodiment 11 Outline>
The invention in this embodiment is an invention in which the first embodiment is described in a method, and basically, the category of the invention of the first embodiment is expressed as an operation program of a computer.
　＜実施形態１１　発明の構成＞
　実施形態１１の対話式健康促進システムの動作プログラムの最も基本的な構成は、実施形態１０と同様、図３３に示すように、ＳＮＳユーザ関連情報取得ステップ（３３０１）、健康状況情報分析取得ステップ（３３０２）、対話情報選択ステップ（３３０３）、対話情報出力ステップ（３３０４）と、からなる。以下では、実施形態と構成が共通のため説明を省略する。 Embodiment 11 Configuration of the Invention
The most basic configuration of the operation program of the interactive health promotion system according to the eleventh embodiment is the SNS user related information acquisition step (3301), the health condition information analysis acquisition step (as shown in FIG. 33) as in the tenth embodiment. 3302), a dialogue information selection step (3303), and a dialogue information output step (3304). In the following, the description is omitted because the configuration is common to the embodiment.
＜実施形態１２＞
＜実施形態１２　発明の概要＞
　本実施形態から実施形態２１までは対話式学習促進システムについての説明である。本実施形態における対話式学習促進システムは、ＳＮＳでのユーザの発言情報や閲覧情報等の外部情報に加えて、学習システムによって取得される、ユーザの学習履歴、学習効果、等の学習に関連する情報をも取得して分析に利用することで、ユーザの学習状況（単に成績に注視することなく、学習意欲、学習姿勢、自発性、継続性といったユーザの内向的な要素を含む）を取得し、ユーザの現在の学習状況にあった対話情報の選択を行うことで、ユーザの学習を促進させる。図３４は、対話式学習促進システムと各種ＳＮＳと学習システムの関係を示すイメージ概念図である。日常的にＳＮＳ１（３４０２ａ）及びＳＮＳ２（３４０２ｂ）を利用してコミュニケーションをとっているあるユーザ（３４０１）が、本対話式学習促進システム（３４０３）を利用するＳＮＳとしてＳＮＳ２を指定した場合には、本対話式学習促進システムはＳＮＳ２を通じて対話情報を出力する（３４０４）。本対話式学習促進システムは、ＳＮＳ１を通じて取得できるＳＮＳユーザ関連情報（３４０５ａ）及び／又はＳＮＳ２を通じて取得できるＳＮＳユーザ関連情報（３４０５ｂ）に加えて、本対話式学習促進システムの外部に設置されているあるユーザが利用している学習システム（３４０７）等から学習履歴情報、学習効果情報等（３４０８）を、取得する。 Embodiment 12
<Summary of the twelfth embodiment>
The present embodiment to the twenty-first embodiment are descriptions of the interactive learning promotion system. The interactive learning promotion system according to the present embodiment is related to learning of the user's learning history, learning effect, etc. acquired by the learning system in addition to external information such as the user's speech information and browsing information in SNS. Also by acquiring information and using it for analysis, it is possible to acquire the user's learning situation (including the user's introverted elements such as learning motivation, learning posture, spontaneity, continuity without simply focusing on the score). The user's learning is promoted by selecting the dialogue information according to the user's current learning situation. FIG. 34 is an image conceptual diagram showing the relationship between an interactive learning promotion system, various SNSs, and a learning system. When a user (3401) who is communicating on SNS1 (3402a) and SNS2 (3402b) on a daily basis designates SNS2 as SNS using this interactive learning promotion system (3403), The interactive learning promotion system outputs dialogue information through the SNS 2 (3404). The present interactive learning promotion system is installed outside the present interactive learning promotion system in addition to the SNS user related information (3405a) obtainable through the SNS 1 and / or the SNS user related information (3405 b) obtainable through the SNS 2 Learning history information, learning effect information, etc. (3408) are acquired from a learning system (3407) or the like used by a certain user.
　＜学習システム＞
　学習システムには複数のタイプがあり得る。タイプ１は、学習履歴情報等が学習教材とは切り離されて学習システムサーバに保持されており対話式学習促進システムに対して出力されるもの、タイプ２は、学習履歴情報等が学習教材とともに学習システムサーバに保持されており、学習教材自体がインターネット等を通じてユーザに提供され、インターネット等を通じて回答が学習システムサーバに返信され、採点者が採点した結果が学習システムサーバに入力され、インターネットを介して学習履歴情報がこの対話式学習促進システムに出力されるタイプであり、タイプ３は、基本的にはタイプ２と共通であるが、学習システムサーバ自体が返信された回答を採点するというものである。タイプ２は論述式の問題に多く適用され、タイプ３は択一式の問題に多く適用される。なお、タイプ３には、英語の発音問題、リスニング問題も適用可能であり、さらに、選択肢を選択させることで論述させたり、途中計算式を回答させるタイプのものも含まれる。タイプ３には、外国語、算数、理科（科学：化学、物理、生物、地学、天文学）、歴史、地理、倫理、社会、政治、経済などの他に、芸術、音楽、家庭科、保健体育なども含むことができる。 <Learning system>
There can be multiple types of learning systems. Type 1 is that learning history information etc. is separated from learning materials and held in the learning system server and output to the interactive learning promotion system, type 2 is learning history information etc. along with learning materials The learning materials are provided to the user via the Internet etc., the answers are sent back to the learning system server via the Internet etc., and the results scored by the grader are inputted to the learning system server via the Internet. The learning history information is of a type that is output to this interactive learning promotion system, and Type 3 is basically the same as Type 2 but is that the learning system server itself scores the reply sent back. . Type 2 is often applied to the problem of discourse, and type 3 is often applied to the problem of choice. In addition, the pronunciation problem of English and the listening problem are also applicable to the type 3, and further, those of a type in which a choice is made to make an argument or an in-progress calculation formula is included are also included. Type 3 includes foreign languages, arithmetic, science (science: chemistry, physics, biology, geology, astronomy), history, geography, ethics, society, politics, economy, etc., as well as art, music, home economics, health and physical education, etc. Can also be included.
　＜学習システム　タイプ１＞
　学習システムサーバには、入出力インターフェイスが備えられており、学習履歴情報及び学習効果情報が出題者又は／及び採点者から入力される。この入力はユーザ識別情報と関連付けて行われ、さらに採点者識別情報などが入力されて学習履歴情報や学習効果情報と関連付けられて出力されてもよい。主に実技が学習の際に欠かせないようなタイプの学習に活用される。 <Learning system type 1>
The learning system server is provided with an input / output interface, and learning history information and learning effect information are input from a questioner or / and a grader. This input may be performed in association with the user identification information, and further, the scorer identification information or the like may be input and output in association with the learning history information and the learning effect information. It is mainly used for the type of learning that is essential for learning.
　＜学習システム　タイプ２＞
　タイプ２の学習システムサーバには、タイプ１の学習システムサーバと共通機能を有する。つまり、学習履歴情報及び学習効果情報を保持するが、その他に学習教材や、ユーザの学習結果である回答なども保持されている。学習履歴情報は、学習教材のユーザへの送信履歴やユーザからの回答の受信履歴に基づいて自動的又は半自動的に生成される。 <Learning system type 2>
The type 2 learning system server has common functions with the type 1 learning system server. That is, although learning history information and learning effect information are held, learning teaching materials, answers which are learning results of the user, etc. are also held. The learning history information is generated automatically or semi-automatically based on the transmission history of the learning material to the user and the reception history of the answer from the user.
　＜学習システム　タイプ３＞
　タイプ３の学習システムサーバには、タイプ１、２の学習システムサーバと共通機能を有する。つまり、学習履歴情報及び学習効果情報、学習教材や、ユーザの学習結果である回答なども保持されている。その他に受信した回答の採点機能をも有している。採点は択一問題に関しては自動的に採点が可能であり、論述問題に関しては採点者の採点結果を取得するようにしてもよいし、人工知能によって採点するように構成してもよい。 <Learning system type 3>
The type 3 learning system server has common functions with the type 1 and 2 learning system servers. That is, learning history information and learning effect information, learning materials, answers that are learning results of the user, and the like are also held. It also has a scoring function for other received responses. Scoring can be performed automatically with regard to alternative questions, and as for the discussion problems, scoring results of the graders may be obtained or may be configured to be scored by artificial intelligence.
　図３５は、対話式学習促進システムがあるユーザに対して学習促進アドバイスを行う際のイメージ概念図である。対話式学習促進システム（３５０１）は、対話式学習促進システムに登録したユーザ（３５０２）が、日常的にＳＮＳ等を利用して発信している会話情報（「今日はまだ眠いよ」「おはよう」「最近夜更かしが続いているな。」「もうすぐ中間テストだ」「数学嫌い。現国嫌い」「今日はあのドラマが見たいな」等）や、閲覧している第三者の発言に関する情報（オープンキャンパス情報を閲覧している等）等のユーザ固有のＳＮＳユーザ関連情報（３５０３）を自動的に取得（３５０４）する。さらに、学習システム（３５０５）から、少なくとも学習履歴情報及び学習効果情報を取得する。取得したＳＮＳユーザ関連情報と学習履歴情報と学習効果情報を総合的に分析（３５０６）することで、学習状況情報（３５０７）を取得する。本対話式学習促進システムは、取得した学習状況情報から、背景目的（例えば「嫌いな数学を好きにする。」「勉強意欲を向上させる」「ゲームをする時間の一部を勉強にさく」など）を決定して目的達成のための適切な対話情報を選択する。例えば、ユーザにテストに向けた学習を行わせたい場合には、目的達成のための適切な対話情報として、「おはよう！！急がないと遅刻しちゃうよ( ;∀;)最近寝坊気味だけど、寝不足？授業中に居眠りしてたりして、（u_u）.。oOもうすぐ中間だし、カラオケもいいけど、カフェで勉強会でもしてみたらどう( ..)φ夜はドラマもあるし、時間のご利用は計画的に(* ´艸｀)」といったように、ＳＮＳを利用してユーザに適した口調で対話情報（３５０８）を、ユーザの所有する対話式学習促進システムとの対話を受信する形態端末に出力する（３５０９）。 FIG. 35 is an image conceptual diagram when giving a learning promotion advice to a user who has an interactive learning promotion system. The interactive learning promotion system (3501) is conversation information ("Today is still sleepy" "Good morning") that the user (3502) registered in the interactive learning promotion system sends out using SNS etc. on a daily basis "Recently late to night," "It is an intermediate test soon," "I hate math. I hate the current country," "I want to see that drama today," etc., and information about the third party's readings User-specific SNS user related information (3503) such as (open campus information is being browsed) is automatically acquired (3504). Furthermore, at least learning history information and learning effect information are acquired from the learning system (3505). Learning situation information (3507) is acquired by comprehensively analyzing (3506) the acquired SNS user related information, learning history information, and learning effect information. This interactive learning promotion system is based on the acquired learning situation information, for background purposes (for example, “I like disliked math.”, “Improving my willingness to study”, “Study a part of the time to play a game”, etc. And select appropriate dialogue information to achieve the purpose. For example, if you want the user to study for the test, the appropriate dialogue information for achieving the purpose, "Good morning !! If not hurry you will be late (; ∀;) Lack of sleep? I slept in class (u_u) .. OO It's almost in the middle, karaoke is also good, but if I study at a cafe, I wonder if there is a drama at night (..) night, time Use the SNS to receive the dialogue information (3508) and the dialogue with the interactive learning promotion system owned by the user by using the SNS in a manner appropriate to the user, such as (* 計画 `) in a planned manner Output to the mobile terminal (3509).
　対話式学習促進システムは、第一の特徴として、学習システムが保有するユーザの学習に関連する情報（学習履歴情報及び学習効果情報等）に加えて、ＳＮＳでの発言等の外部情報を用いている。次に、第二の特徴として、取得した学習に関連する情報と外部情報をデータとして分析して、単なる数値的な学力情報を取得するのではなく、情報からユーザの「やる気」等の心理状態を場合により分析して、学習意欲を考慮した「現在の学習状況情報」を分析取得している。さらに、第三の特徴として、分析取得した「現在の学習状況情報」から最適なアドアイスの内容を選択して、ユーザが普段から親しみを感じている、説得されやすい口調に合わせて最適な口調を用いて選択したアドバイス内容を出力する。 As a first feature of the interactive learning promotion system, in addition to information (learning history information and learning effect information, etc.) related to the learning of the user possessed by the learning system, external information such as an utterance in SNS is used. There is. Next, as a second feature, the information related to the acquired learning and the external information are analyzed as data, and mere numerical ability information is not acquired, but the psychological state such as "motivation" of the user from the information In some cases, we analyze and acquire "current learning situation information" in consideration of learning motivation. Furthermore, as the third feature, the content of the optimal ad ice content is selected from the "current learning status information" obtained by analysis, and the optimal tone is matched to the persuasive tone that the user usually feels familiarity Outputs the selected advice content.
＜実施形態１２　発明の構成＞
　図３６は実施形態１２の対話式学習促進システムの構成の一例を示す図である。図に示すように、実施形態１２の対話式学習促進システムは、第一学習ユーザ識別情報保持部（３６０１）、第一学習ＳＮＳユーザ関連情報取得部（３６０２）、第一学習履歴情報取得部（３６０３）、第一学習効果情報取得部（３６０４）、第一学習分析ルール保持部（３６０５）、第一学習状況情報分析取得部（３６０６）、第一学習対話情報蓄積部（３６０７）、第一学習ユーザ別対話情報選択ルール保持部（３６０８）、第一学習対話情報選択部（３６０９）、第一学習対話情報出力部（３６１０）と、からなる。 Embodiment 12 Configuration of the Invention
FIG. 36 is a diagram showing an example of the configuration of the interactive learning promotion system of the twelfth embodiment. As shown in the figure, the interactive learning promotion system of the twelfth embodiment includes a first learning user identification information holding unit (3601), a first learning SNS user related information acquisition unit (3602), a first learning history information acquisition unit ( 3603), first learning effect information acquisition unit (3604), first learning analysis rule holding unit (3605), first learning status information analysis acquisition unit (3606), first learning dialogue information storage unit (3607), first The learning user classified dialogue information selection rule holding unit (3608), the first learning dialogue information selecting unit (3609), and the first learning dialogue information output unit (3610).
＜実施形態１２　構成の説明＞
＜実施形態１２　第一学習ユーザ識別情報保持部＞
　「第一学習ユーザ識別情報保持部」は、ＳＮＳ及び学習システムを利用するユーザを識別するユーザ識別情報を保持する。保持されているユーザ識別情報は、本対話式学習促進システムを利用しているユーザの本対話式学習促進システムにおけるユーザ識別情報である。ユーザ識別情報に関連付けて、氏名、住所、電話番号、メールアドレス、ユーザが特別に設定するＩＤ、生年月日、職業、年齢、性別、等を保持するのが一般的であり、さらに健康に関連するユーザの肉体的な情報等（例えば、身長、体重、平均体温、平均時脈拍数、平均時呼吸数、平均時心拍数、平均時運動量（時間、質、態様等）、ジム通いの有無）といった情報が保持されていてもよい。本対話式学習促進システムでは、上記ユーザの肉体的な情報に加えて、又はこれに替えて、ユーザの学習に関連する情報等（卒業学校情報、在学学校情報、専門情報、所属研究室情報、得意分野、考試成績、母国語、第二外国語、家族の学歴、渡航歴、留学歴、購入参考書履歴、平均睡眠時間、平均自習時間、学習塾履歴等の一以上）を含むように構成することができる。さらに、ユーザが利用している学習システムを特定するための情報と、ユーザが学習システムで利用しているＩＤ等をも含むように構成される。さらに、ユーザの身体的な状態を示すライフログとして、心拍数、脈拍数、呼吸数、体温、筋肉の収縮・弛緩の度合い、脳波、血流速度、血中酸素濃度、血中アルコール量、アレルギー反応の程度、疲労物質の蓄積の程度、等の一以上を含むように構成してもよい。これらは、身体に装着しており身体の状態を測定可能なウエアラブル端末や、身体に身に着けてはいないが通信機能を有する身体データ測定装置等から取得する。または、通信でないが可搬型のメモリに収納された身体データを可搬型メモリ（例えばＵＳＢメモリ、ＩＣカード（ＲＦＩＤ機能を有するプリペイドカードなども含む）、可搬型ディスクドライブ、光記録媒体、磁器メモリなど）から取得することもできる。なお、プリペイドカードの場合には健康診断や、医師による治療の手数料支払い時に身体の状態に関する情報を受け取り、これを取得することで身体の状態を示すデータを取得できる。ユーザ識別情報に関連付けて保持されるユーザ属性情報は、対話式学習促進システムの利用開始時にユーザ自身に登録させるように構成する。この登録があってこの対話式学習促進システムが利用可能になるように構成することができる。さらにユーザ属性情報は、すでにユーザが利用している他のシステムから移転ないしコピーして取得するように構成することもできる。例えば利用履歴がある塾、学校、教室、通信教育、他の学習システム、学力テストデータベースや、ユーザが利用している学習カルテシステム（学習全般に関してアドバイス機能を有し、あたかも病院で利用されるカルテのように学習に関係するユーザの評価が履歴として記録され（例えば学習単位で）ユーザが利用可能なもの）、ユーザが利用している学習アプリ、ユーザが利用している学力測定アプリなどが保有するデータなどを利用できる。 <Description of the configuration of the twelfth embodiment>
Embodiment 12 First Learning User Identification Information Holding Unit
The “first learning user identification information holding unit” holds user identification information identifying a user who uses the SNS and the learning system. The user identification information held is the user identification information in the interactive learning promotion system of the user using the interactive learning promotion system. It is common to hold the name, address, phone number, e-mail address, user-specified ID, date of birth, occupation, age, gender etc. in relation to the user identification information, and it is related to health Information (eg, height, weight, average body temperature, average pulse rate, average respiratory rate, average heart rate, average exercise amount (time, quality, form etc.), presence or absence of gym visits, etc.) Such information may be held. In this interactive learning promotion system, in addition to or in place of the physical information of the user, information related to learning of the user, etc. (graduation school information, school information, school information, affiliation laboratory information, Includes one or more of areas of expertise, examination results, native language, second foreign language, family academic background, travel history, study abroad history, purchase reference book history, average sleep time, average self-study time, learning habits history, etc.) can do. Furthermore, it is configured to include information for specifying a learning system used by the user, an ID used by the user in the learning system, and the like. Furthermore, as a life log indicating the physical condition of the user, heart rate, pulse rate, respiration rate, body temperature, degree of muscle contraction / relaxation, electroencephalogram, blood flow rate, blood oxygen concentration, blood alcohol content, allergy It may be configured to include one or more of the degree of reaction, the degree of accumulation of fatigue material, and the like. These are acquired from a wearable terminal that can be worn on the body and capable of measuring the condition of the body, a physical data measurement device that is not worn on the body but has a communication function, and the like. Alternatively, the portable memory (for example, USB memory, IC card (including a prepaid card having an RFID function), portable disk drive, optical recording medium, porcelain memory, etc.) which is stored in portable memory without communication but is portable It can also be obtained from In the case of a prepaid card, it is possible to obtain data indicating the physical condition by receiving information about the physical condition at the time of medical checkup and payment of a treatment fee by a doctor and acquiring this. The user attribute information held in association with the user identification information is configured to be registered by the user at the start of use of the interactive learning promotion system. This registration can be configured to make this interactive learning promotion system available. Furthermore, the user attribute information can be configured to be transferred or acquired from another system already used by the user. For example, there is a history of use, schools, classrooms, distance learning, other learning systems, academic ability test databases, learning chart systems used by users (with advice function for general learning, as medical charts used in hospitals The evaluation of the user related to learning is recorded as a history (for example, available to the user in a learning unit), and the learning application used by the user, the academic ability measuring application used by the user, etc. are held Data etc. can be used.
＜実施形態１２　第一学習ＳＮＳユーザ関連情報取得部＞
　「第一学習ＳＮＳユーザ関連情報取得部」は、ユーザ識別情報と関連付けてユーザが利用するＳＮＳの発言を含むユーザ関連情報であるＳＮＳユーザ関連情報を外部情報として取得する。ここで、「ＳＮＳユーザ関連情報」及び「ＳＮＳ」の定義については、すでに対話式健康促進システムに関する実施形態１において説明済である。「取得」は、フィルターをかけて取得してもよい。例えば当部において学習に関連するキーワードを保持するキーワード保持手段を有し、そのキーワードを含む会話のみを取得するように構成することができる。また、取得の範囲はユーザが直接的に行う発言のみならず、ユーザの関係者間で行われる発言も取得してもよい。特にユーザが学生である場合には関係者は同じ学校ないしは同じ学習塾などの友人が多いと考えられるので、ユーザの関係者間での発言もユーザの学習関連情報として有用な場合が多いからである。このような関係者間での発言から得られる情報としては、「今度の数学のテストは難しかった・・・」であるとか、「来週の学年末テストの準備はどう？」であるとか、「今年は１２名医学部に合格したらしい・・・」などの情報であり、ユーザが属する学習グループ自体の学習レベルやテストのレベルなどを推測するために利用できる。さらに、ユーザが学習のＳＮＳ内のコミュニティを利用している場合にはこのコミュニティ内での発言を十分（完全）に取得するように構成すると後述する学習状況情報を取得するための学習環境などの推定精度が向上する。 <Embodiment 12 first learning SNS user related information acquisition unit>
The “first learning SNS user related information acquisition unit” acquires, as external information, SNS user related information which is user related information including the utterance of the SNS used by the user in association with the user identification information. Here, the definitions of “SNS user related information” and “SNS” have already been described in the first embodiment regarding the interactive health promotion system. "Acquisition" may be acquired by applying a filter. For example, a keyword holding unit that holds a keyword related to learning may be provided in this unit, and only conversations including the keyword may be acquired. Further, the range of acquisition may be not only the utterances made directly by the user, but also the utterances made between the related parties of the user. In particular, when the user is a student, related persons are considered to have many friends such as the same school or the same learning group, so the utterance among the related persons of the user is often useful as the user's learning related information. is there. As information that can be obtained from such remarks among stakeholders, it is "it was difficult for the next math test ..." or "how is the preparation for the next year's end of the year test?" This year's 12 senior medical students seem to have passed the medical school, etc. ", and can be used to infer the learning level, test level, etc. of the learning group to which the user belongs. Furthermore, when the user uses the community in the learning SNS, if the speech in the community is sufficiently (completely) acquired, such as a learning environment for acquiring learning status information described later The estimation accuracy is improved.
＜実施形態１２　第一学習履歴情報取得部＞
　「第一学習履歴情報取得部」は、ユーザ識別情報と関連付けてユーザが利用する学習システムからその学習システムで行われた又は／及び学習システムとは独立に学習の履歴を示す情報である学習履歴情報を取得する。ここで「学習」とは、一般的には、経験を通じて行動に持続的な変化が生じる、ないし行動・思考・知識・行動能力が変化し、解決できる問題が増加したり、解決までに要する時間が短縮したり、知識の取得容易性が増したり、新たな行動をすることが可能となる行動のことをいう。学校や塾、対話式学習促進システムに連携する各種の学習システムを利用した学習は、広く明示された教育目的や教育目標などに基づいて教員や各種の学習システム、対話式学習促進システムが支援するものであり、学習者が主体となって進められる。学習を与える側は、対話式学習促進システムと連携する各種システムのみならず、実際の教員（座学を行うセミナー講師や、塾講師、家庭教師などを含む）によるものが含まれていてもよい。学習には、運動能力（各種のスポーツ）、演奏能力、創作能力（被服、料理、生け花、茶道、建築、彫刻、絵画、書道など）、競技能力（囲碁、将棋、チェス、麻雀、ビデオゲーム、トランプ競技、花札競技、百人一首、オセロ、ボードゲーム）、コミュニケーション能力（プレゼンテーション、ディスカッション等）等の取得や維持を目的とした学習も含まれる。 Embodiment 12 First Learning History Information Acquisition Unit
The “first learning history information acquisition unit” is a learning history that is information indicating a learning history performed by the learning system from the learning system used by the user in association with the user identification information and / or independently of the learning system Get information. Here, “learning” generally refers to a sustained change in behavior through experience, or a change in behavior / thinking / knowledge / behavioral ability, an increase in problems that can be solved, or the time taken for solution Is an action that makes it possible to shorten, to increase the ease of acquiring knowledge, and to take new action. Learning using various learning systems linked to schools, schools, and interactive learning promotion systems is supported by teachers, various learning systems, and interactive learning promotion systems based on widely specified educational objectives and objectives. And the learner takes the lead. Those who give learning may include not only various systems linked with the interactive learning promotion system, but also those by actual teachers (including seminar instructors who perform lectures, including lecturers, tutors, etc.) . For learning, athletic ability (various sports), playing ability, creative ability (clothing, cooking, flower arrangement, tea ceremony, architecture, sculpture, painting, calligraphy, etc.), competition ability (go, shogi, chess, mahjong, video games, It also includes learning for the purpose of acquiring and maintaining card competitions, tag cards, one-hundred-one-piece, Othello, board games), communication skills (presentations, discussions, etc.), etc.
　本明細書においては、学習は主に知識の取得と、持続的な知識の維持を言う場合がある。学習は、主に知識を与えるための文章・図・写真・ビデオ・数式・化学式・方程式・論理記号から構成される論理式を読み、視聴し、場合により利用することでその知識を取得、維持することをいう。その中には、問題を解くことにチャレンジすること、チャレンジした問題の誤りを理解すること、チャレンジした問題の正解を理解すること等も含むものとする。 In the present specification, learning may mainly refer to the acquisition of knowledge and the maintenance of continuous knowledge. Learning is to read, view, and optionally use logical formulas consisting of sentences, diagrams, pictures, videos, formulas, chemical formulas, equations and logical symbols to give knowledge, and acquire and maintain that knowledge Say what to do. Among them are challenging to solve the problem, understanding the error of the challenged problem, and understanding the correct answer of the challenged problem.
「学習履歴情報」は、学習活動の履歴である。学習活動の履歴とは、例えば、読んだり視聴する教材の種類（教科書、参考書、例題、ビデオ、写真、音声、ネットワーク上の参照ＵＲＬなど）とその教材の配布日時とその教材の学習指示範囲とその学習指示範囲の履修の有無や履修時期、履修時間、履修活動（ページめくり活動、画面スクロール活動、ビデオ視聴活動、教材のプリントアウト活動、ドリル練習活動、履修時間中の休憩活動、例えばＳＮＳの視聴利用、離席、うたたね、無駄話など、これらはユーザの利用する端末に接続されたカメラやマイクによって取得された映像や音声、あるいは対話式学習促進システムが取得するＳＮＳユーザ関連情報を分析することで取得される情報であってもよい。）、ユーザの学習した結果の感想、質問などの一以上を含むものである。さらに具体的には、例えば、「８月２０日・１７：４３・数学・三角関数・１時間・１問」「８月２１日・全科目学習せず」「８月２２日・２１：００・英語（熟語）・２８分・５０問」「８月２２日・２２：００　英語：発音練習３０分」「８月２３日・１９：００　歴史（古代エジプト）　ビデオ視聴」といった情報が考えられる。学習システムを利用している時には、利用した時間や選択した教科や教科内での学習単位を学習履歴として取得することが考えられる。一方、本対話式学習促進システムと連携する各種学習システムを利用しないでほぼ全く学習をしていない場合には、利用していないという事実を学習履歴として取得することが考えられる。学習履歴として、少なくとも取得すべき情報は、学習を行っている時刻（例えば開始日時と終了日時）を示す情報である。なぜなら、学習システムから学習履歴情報を取得した本対話式学習促進システムは、後述するように自身の出力した対話情報の有効性を判断する必要があり、この有効性の判断において、対話情報の出力からどの程度の時間経過後に学習が行われたかなどについて、少なくとも分析を行う必要があるからである。 "Learning history information" is a history of learning activities. The history of learning activities includes, for example, types of teaching materials to be read or viewed (textbooks, reference books, examples, videos, pictures, voices, reference URLs on a network, etc.), the distribution date and time of the teaching materials, and the learning instruction range of the teaching materials And whether or not to study the study instruction range, study time, study time, study activities (page turning activity, screen scroll activity, video viewing activity, printout activity of teaching materials, drill practice activity, break activity during study time, eg SNS Such as viewing and listening, leaving, singing, useless talk, etc. analyze video or audio acquired by camera or microphone connected to the terminal used by the user, or SNS user related information acquired by the interactive learning promotion system May be information obtained by the user), an impression of a result learned by the user, a question, etc. More specifically, for example, "August 20th · 17:43 · Mathematics · Trigonometric function · 1 hour · 1 question" "August 21st · Not learning all subjects" "August 22nd · 21:00・ English (Idiomatic) · 28 minutes · 50 questions "August 22 · 22:00 English: Pronunciation practice 30 minutes" "August 23 · 19:00 History (Ancient Egypt) video viewing" can be considered . When using a learning system, it is possible to acquire the time used and the learning unit in the selected subject or subject as a learning history. On the other hand, it is possible to acquire the fact that it is not using as a learning history, when not learning at all almost without using various learning systems linked with this interactive learning promotion system. At least information to be acquired as the learning history is information indicating the time at which learning is being performed (for example, start date and time and end date and time). Because, this interactive learning promotion system which acquired learning history information from the learning system needs to judge the validity of the dialogue information outputted by itself as described later, and in the judgment of the validity, the dialogue information is outputted. It is necessary to at least analyze how much time has passed since learning.
　学習システムはこれらの学習履歴情報を利用者（学習者）にマニュアルで入力させることで取得してもよいし、教材の送信とその教材のユーザの端末による閲覧・質問・回答などの情報をネットワークを介して外部の学習システムから取得して学習履歴情報を生成してもよい。ユーザ端末による閲覧は教材のページビューを取得したり、ページめくりの情報を利用したり、ビデオの再生情報を取得したりすることで得ることもできる。これらの情報の精度を上げるために、例えばページめくりであれば、平均的学習者の実際の教材学習時の平均的ページめくり情報を保持しておくと同時に各ユーザのページめくり情報と保持されているページめくり情報とを比較して（平均値と標準偏差などを利用して）例えば所定のばらつきの範囲外である場合には正常な学習がされなかったと記録するように構成したり、平均的な学習者であれば当然に質問する事項が質問されないなどの場合には正常な学習がされなかったと記録するように構成したり、英語などの外国語の発音学習でユーザからの発声が記録されない場合にはその学習が正常にされなかったと記録するように構成したり、ユーザの端末でネット検索によって問題の解答が検索されたことを検知してその問題に対する学習が正常に行われなかったと記録するように構成したりすることが考えられる。 The learning system may obtain such learning history information by having the user (student) manually input it, or transmit the teaching material and network information such as browsing / question / answer of the teaching material by the user's terminal. May be acquired from an external learning system to generate learning history information. The browsing by the user terminal can also be obtained by acquiring a page view of the teaching material, using information of page turning, and acquiring reproduction information of a video. In order to improve the accuracy of these information, for example, in the case of page turning, while holding average page turning information at the time of actual learning material learning of the average learner, page turning information of each user is held at the same time It is configured to compare with certain page turning information (using an average value and a standard deviation, etc.), for example, to record that normal learning has not been performed if it is out of the range of a predetermined variation, or If it is a natural learner, it is configured to record that normal learning was not performed if, for example, the question to be asked is not asked, the utterance from the user is not recorded in pronunciation learning of a foreign language such as English In this case, it is configured to record that the learning was not made normal, or it is detected that the answer of the question has been searched by the net search on the user's terminal, and the learning for the question is performed. It is conceivable to or configured to record and was not successful.
＜実施形態１２　第一学習効果情報取得部＞
　「第一学習効果情報取得部」は、ユーザ識別情報と関連付けてユーザが利用する学習システムからその学習システムで行われた学習の効果を示す情報である学習効果情報を取得する。「学習効果情報」とは、ユーザが外部の学習システムを通じて行った学習の結果に関する情報である。具体的には学習効果情報は学習履歴情報で特定される学習履歴（少なくとも学習単位、場合により学習単位と日時、又は学習単位と日時と学習時間長）に関連付けられて取得される。「学習単位」とは、学習すべきひとまとまりの内容をいう。例えばサーバとユーザの端末間で学習教材の通信が行われる場合には、サーバから連続的に送信される学習内容のまとまりであってもよい。ひとまとまりの時間内（この時間は非連続に複数の時間のかたまりに分けられている物であってもよい）に学習カリキュラム（学習計画）が組まれているものをいう。例えば高校の三角関数に関する数学であれば、基本的な三角比の値、三角形の辺の長さ・山の高さ、三角比の相互関係(1)、三角比の相互関係(2)、三角比の相互関係(3)、鈍角の三角比（90゜～180゜）、三角方程式、三角不等式、正弦定理、余弦定理、sinθ+cosθ→sinθcosθ(8)、三角方程式(２次)、三角不等式(２次)、正の角・負の角、動径の表わす一般角、三角関数の定義(第2象限)・(第3象限)・(第4象限)、弧度法の単位：ラジアン、三角関数の値(よく使う角度)、sin(π+θ)、三角関数のグラフ(sinθの平行移動)・(cosθの平行移動)、sin(θ－α)のグラフ、加法定理，倍角公式，３倍角公式，半角公式等の各々が学習単位である。従って、学習履歴情報は学習単位で学習の履歴を示す情報であり、学習効果とは、「半角公式：８月２０日、１７：４３開始、１時間」に対してテスト結果が「半角公式：練習問題３　８月２１日　１００点満点中８７点」などが該当する。この場合にはテストは学習日とは異なっているが、学習時間内にテストを行うように構成してもよい。 Embodiment 12 First Learning Effect Information Acquisition Unit
The “first learning effect information acquisition unit” acquires learning effect information that is information indicating the effect of learning performed in the learning system from the learning system used by the user in association with the user identification information. "Learning effect information" is information on the result of learning performed by the user through an external learning system. Specifically, the learning effect information is acquired in association with a learning history (at least a learning unit, sometimes a learning unit and date or time, or a learning unit and date and time, and a learning time length) specified by the learning history information. "Learning unit" refers to a group of contents to be learned. For example, when communication of learning materials is performed between the server and the terminal of the user, it may be a group of learning contents continuously transmitted from the server. In a group of time (this time may be a thing divided into a plurality of non-consecutive blocks of time), it means that the learning curriculum (learning plan) is formulated. For example, in the case of mathematics related to high school trigonometric functions, basic trigonometric values, triangle side length / peak height, trigonometric relationship (1), trigonometric relationship (2), triangles Reciprocity of Ratio (3), Triangular Ratio of Obtuse Angle (90 ° to 180 °), Trigonometric Equation, Trigonometric Inequality, Sine Theorem, Cosine Theorem, sin θ + cos θ → sin θ cos θ (8), Trigonometric Equation (Second Order), Triangular Inequality (Second order), positive angle / negative angle, general angle representing radius, definition of trigonometric function (second quadrant), (third quadrant), (fourth quadrant), unit of arc degree method: radian, triangle Function value (frequently used angle), sin (π + θ), trigonometric function graph (parallel movement of sin θ) · (parallel movement of cos θ), sin (θ-α) graph, addition theorem, double angle formula, 3 Each of the double angle formula, the half angle formula, etc. is a learning unit. Therefore, the learning history information is information indicating the learning history in the unit of learning, and the learning effect is that the test result is “half-width formula:“ half-width formula: August 20, 17: 43 start, 1 hour ”. Exercise question 3 August 21 "87 points out of 100 points" etc. correspond. In this case, the test is different from the learning date, but may be configured to perform the test within the learning time.
　つまり「学習効果」とは、学習履歴で示される学習単位の理解度、習得度、向上度等を示す情報であって、テストの点数、母集団（同一学年、同一クラス、同一性別、同一志望校、同一学校、同一都道府県市町村、同一ＳＮＳグループ、理系文系別、医学部進学希望者、帰国子女別、同一体形範囲、同一格付（段、級など）、同一流派、同一出身地域、同一個人属性、同一家族構成、同一学習継続年数、同一役職（スポーツでの分担、企業内での肩書など）などを言う。以下同じ。）内での各科目、各テーマ、各問題、各学習単位の試験の点数の偏差値、各テスト問題（学習単位を構成する要素単位であってもよい）の正誤（母集団での比較の場合もある）、回答した問題の数（母集団での比較の場合もある）、回答しないで白紙状態であった問題の数（母集団での比較の場合もある）、回答した問題の数と出題された問題の数の比（母集団での比較の場合もある）、回答した問題の種類（母集団での比較の場合もある）、回答しなかった問題の種類（母集団での比較の場合もある）、問題を回答するために要した時間（例えば各問題に関連付けられている問題回答時間の正規分布に対してどの位置に属するかによる評価）（母集団での比較の場合もある）、回答に含まれる、又は／及び回答に至るまでの中間手順（途中展開式、途中化学式、途中論理展開、思考回数、書き直し等）、なされた質問、学習に対する感想、暗記の正確さ（母集団での比較の場合もある）、誤答の内容（母集団での比較の場合もある）、誤答の原因となった個所（母集団での比較の場合もある）、同じ問題に対して誤答を繰り返した頻度（母集団での比較の場合もある）、同じ問題を回答するに要した時間の変化（母集団での比較の場合もある）、問題についてヒントが利用可能な場合のヒント利用回数（母集団での比較の場合もある）、ヒント利用頻度（母集団での比較の場合もある）、ヒント利用率（母集団での比較の場合もある）、問題に回答するに際して残したメモ、学習時間、正解数、不正解数、繰返正解数、繰返不正解数、母集団内での順位、母集団内での偏差値、講師等の評価、創作物の正確性等のいずれか一以上が含まれてもよい。学習効果の測定は、学習履歴情報と関連付けて取得される。つまり、学習効果を測定するための問題やテストは、学習履歴（学習単位を含む）と関連付けられて出題されるように構成される。 That is, “learning effect” is information indicating the understanding degree, learning degree, improvement degree, etc. of the learning unit indicated by the learning history, and the score of the test, the population (the same grade, the same class, the same gender, the same wishing school) , The same school, the same prefectures, the same SNS group, by science and engineering, by medical students, by returnees, by the same figure range, by the same rating (stage, grade etc.), by the same school, from the same region, from the same personal attribute, The same family structure, the same number of consecutive years of learning, the same job title (sport assignment, company title, etc.) The same applies to each subject, each theme, each problem, each study unit's exam in the same. Deviation value of points, correctness (may be comparison in a population) of each test problem (may be element unit constituting a learning unit), number of problems answered (even in the case of comparison in a population) Yes), not answer Number of questions (sometimes comparison in the population), ratio of the number of questions answered to the number of questions presented (sometimes comparison in the population), type of questions answered (population) In some cases), the type of questions not answered (sometimes in a population comparison), the time taken to answer the questions (eg, the question answer time associated with each question) Evaluation based on which position the normal distribution belongs (may be comparison in the population), intermediate procedures included in the answer or / and leading to the answer (halfway formula, midway chemical formula, midway logic Expansion, thinking times, rewriting etc), questions asked, impressions on learning, memorization accuracy (sometimes compare in a population), content of wrong answers (sometimes compare in a population), mistake Location that caused the answer (may be comparison in the population), same Frequency of repeated incorrect answers to a problem (sometimes compare in the population), change in time taken to answer the same problem (sometimes compare in the population), hints about the problem How many times hints are used (may be comparison in a population), frequency of hint usage (may be comparison in a population), hint usage rate (may be comparison in a population), problem Note left when answering questions, learning time, number of correct answers, number of incorrect answers, number of repeated correct answers, number of repeated incorrect answers, ranking in the population, deviation value in the population, evaluation of instructors etc., creation One or more of the accuracy of the object etc. may be included. The measurement of the learning effect is acquired in association with the learning history information. That is, the problem or test for measuring the learning effect is configured to be presented in association with the learning history (including the learning unit).
　さらに学習効果（情報）とは、例えば、上記した各種の要素考慮する要素（問題回答時間、学習時間、学習単位の試験の点数、思考回数、不正解数、繰返正解数、繰返不正解数、母集団内で音順位、母集団内での偏差値、講師等の評価、創作物の正確性等）のそれぞれを一つの次元として、Ｎ次元空間内座標で学習単位についての考慮する要素の座標位置を示し、比較した学習効果の座標のそれぞれの原点からの距離を比較して、原点からの距離が離れている（あるいは座標の設定の仕方によっては近づいている）ほど学習効果があった、と判断する処理が考えられる。あるいは、比較したい学習効果の座標の一方を起点として、座標の示す数値の大小を比較するという方法が考えられる、あるいは、比較したい学習効果の座標が原点と各次元軸とによって構成する空間の体積（二次元の場合は面積）を比較し合うルールが考えられる。いずれの場合においても、問題回答時間や学習時間は減るほど好ましく、学習単位についての試験の点数は増えるほど好ましく、思考回数（論理の展開数：例えば弁証論的思考階段の段数：これは論述問題などで回答から取得される）は減る程好ましいが一定の回数以下の場合には思考が説明しきれなくなるので好ましくなく、不正解回数は減少する方が好ましい、等と考慮する要素ごとに好ましい場合（例えば各次元でプラスに計算）と好ましくない場合（例えば各次元でマイナスに計算）とが各次元で統一されるように設計する。したがって、ある要素の有効性は取得した測定値をＮ次元空間内で適切に配分できるように固有の関数に測定値を代入して各次元の値が取得されるように構成する。 Furthermore, the learning effect (information) includes, for example, the above-described various elements (problem answering time, learning time, learning unit test score, number of thoughts, number of incorrect answers, number of repeated correct answers, repeated incorrect answers) Elements to be considered for the learning unit in N-dimensional space coordinates, with each of number, sound order in the population, deviation value in the population, evaluation of lecturer etc., accuracy of the creation, etc. as one dimension Indicates the coordinate position of the comparison, and compare the distance from the origin of each of the coordinates of the compared learning effects, and the distance from the origin is greater (or closer depending on the way of setting the coordinates). It is possible to consider processing to determine that Alternatively, a method may be considered in which the magnitude of the numerical value indicated by the coordinates is compared starting from one of the coordinates of the learning effect to be compared, or the volume of the space in which the coordinates of the learning effect to be compared are constituted by the origin and each dimension axis. A rule may be considered in which (areas in the case of two dimensions) are compared. In any case, it is preferable that the problem response time and the learning time be reduced, and that the test score for the learning unit be increased, and the number of thinkings (number of logic developments: for example, the number of stages of dialectical thinking steps: this is a statement It is preferable that the problem is obtained from the answer), but it is preferable that the number of incorrect answers be reduced, which is preferable because it is not preferable because the thought can not be explained if the number of times is less than a certain number Design is made such that cases (for example, calculation plus in each dimension) and cases not preferable (for example, calculation minus in each dimension) are unified in each dimension. Therefore, the validity of an element is constructed such that values of each dimension are obtained by substituting the measured values into a unique function so that the obtained measured values can be properly distributed in the N-dimensional space.
＜実施形態１２　第一学習分析ルール保持部＞
　「第一学習分析ルール保持部」は、ユーザ識別情報と関連付けて外部情報と、学習履歴情報と、学習効果情報と、を学習状況の把握の観点で分析して学習状況情報を取得するためのルールである学習分析ルールを保持する。学習分析ルールは、ユーザ識別情報と関連付けられているので、ユーザの特徴に合わせた学習分析ルールとなる。また、本対話式学習促進システムの究極的な目的は、自発的な学習の継続の実現にある。自発的な学習の継続を実現するためには、学習の習慣を身に着けることと、この習慣を身に着けるための学習意欲の向上、及び、身に着けた習慣を維持するための生活のリズム化、学習意欲の維持を行うための忍耐力の習得などが必要となる。本対話式学習促進システムは、習慣化と習慣維持のために必要となる学習意欲の向上及び維持を実現するための対話システムである。したがって、学習分析ルールは、学習意欲の向上及び維持を行う対話情報を選択するために必要となるユーザごとの学習状況情報の分析取得を行うためのユーザ毎のルールである。 Embodiment 12 First Learning Analysis Rule Holding Unit
The “first learning analysis rule holding unit” is for acquiring the learning situation information by analyzing the external information, the learning history information, and the learning effect information in association with the user identification information from the viewpoint of grasping the learning situation. Hold learning analysis rules that are rules. Since the learning analysis rules are associated with the user identification information, they become learning analysis rules that match the characteristics of the user. Moreover, the ultimate purpose of this interactive learning promotion system is to realize the continuation of spontaneous learning. In order to realize the continuation of spontaneous learning, it is necessary to wear learning habits, to improve the learning motivation to wear this habit, and to maintain the worn habits. It will be necessary to create rhythmicity and patience to maintain the motivation for learning. This interactive learning promotion system is a dialogue system for realizing improvement and maintenance of the learning motivation necessary for habituation and habit maintenance. Therefore, the learning analysis rule is a rule for each user for performing analysis and acquisition of learning situation information for each user, which is necessary to select dialogue information for improving and maintaining learning desire.
　「学習状況情報」とは、ユーザ識別情報と関連付けられて、そのユーザの（１）自発的な学習を習慣化できた程度、（２）自発的な学習の質、（３）自発的な学習によってどの程度その学習内容を習得できたか、（４）自身で自身の学習の進み具合をどのように自己判断しているか、（５）自身の学習の進み具合を自身を取り巻く関係者がどのように評価しているか、（６）学習の意欲の程度、の一以上の観点などからユーザの学習の状況を定量的又は定性的に評価するものであって、数値の重みをどのような各要素に分配するか、定性的にどのような結果を出すか、はシステムの設計意図による。定量的でも定性的でも両者を含むようなものでもよい。設計の方針としては定量的であれば数値が大きいほど学習にプラスであり、逆に数値が小さいほど学習にマイナスであるように設計することができる。学習状況情報は、学習単位（例えば、学習システムで準備されているカリキュラムで決定される単位や、文部科学省が公開している学習指導要領で定められる単位で）で取得してもよいし、複数の学習単位の塊に対して取得してもよいし、学習科目、さらにはその上位のくくりで取得してもよい。従って、学習状況情報は学習単位を識別する学習単位識別情報や学習教科識別情報などと関連付けられて取得されるように構成することができる。また学習状況情報は、そのような学習状況情報に至ったことに関連する対話情報と関連付けて取得されるように構成してもよい。従って、学習状況情報は、対話情報を識別する対話情報識別情報などと関連付けられて取得されるように構成してもよい。さらにその学習状況情報に影響を与えた対話情報が明確に多数の対話情報から切り分けられない場合には時間的な距離に基づいて影響度を対話情報識別情報に付与してもよい。 "Learning situation information" is associated with user identification information and (1) the degree of habitation of spontaneous learning of the user, (2) quality of spontaneous learning, (3) spontaneous learning (4) How much self-judged the progress of their own learning by themselves, (5) How the parties surrounding themselves progressed their own progress of learning (6) to evaluate the user's learning situation quantitatively or qualitatively from the viewpoint of one's or more degree of willingness to learn, etc. It depends on the design intention of the system whether it distributes to what kind of result qualitatively produces. It may be quantitative, qualitative or both. As a design policy, if it is quantitative, the larger the numerical value is, the more positive it is for learning, and the smaller the numerical value, the more negative it is for learning. The learning status information may be acquired in a learning unit (for example, a unit determined by a curriculum prepared by a learning system or a unit determined by a course of study published by the Ministry of Education, Culture, Sports, Science and Technology). It may be acquired for a mass of a plurality of learning units, or may be acquired for a learning subject or even a higher rank. Therefore, the learning situation information can be configured to be acquired in association with learning unit identification information for identifying a learning unit, learning subject identification information, and the like. Further, the learning situation information may be configured to be acquired in association with the dialogue information related to the arrival of such learning situation information. Therefore, the learning situation information may be configured to be acquired in association with the dialogue information identification information identifying the dialogue information and the like. Furthermore, when the dialogue information that has influenced the learning situation information can not be clearly separated from a large number of dialogue information, the degree of influence may be given to the dialogue information identification information based on the temporal distance.
　「（１）自発的な学習を習慣化できた程度の評価」は学習履歴から主に取得可能である。習慣化は、学習のリズム（具体的には学習の日時）と、学習の継続時間、と、外部情報（ユーザのＳＮＳ上での発言、対話式学習促進システムのＳＮＳ上での発言、その他のユーザ関係者の発言や、ＳＮＳから取得できる各種情報（例えば学校での授業、テスト、学校外での模擬テストなどの情報、模擬テストの母集団の情報：各種予備校や各種学習塾などがＳＮＳ上に発信する情報））と、を周期的に評価してそのばらつきがどのように変動するかによって評価することができる。人の生活はある程度周期的なリズムを有する。例えばバイオリズムなどを有していることはすでに知られている。従って、バイオリズムの周期で学習の習慣化を評価したり、学生である場合には、各学期を周期の単位として評価したり、あるいは毎週の時間割（カリキュラム）に従って学習をする生徒のような場合には週を周期として評価することができる。また、人によるばらつきが大きいので、ユーザそれぞれに評価周期が異なってもよい。さらには、所与の周期を利用しないで、そのユーザの学習履歴から評価周期を算出して利用するように構成してもよい。また学習のリズムは、学習する内容のカテゴリ別に測定してもよい。例えば、一般の中学生や高校生の場合には学校で頻繁に学習する科目とそうでない科目があるために各科目ごとに学習のリズムも異なるのが一般である。そこで例えば対話式学習促進システムと連携している外部の学習システムや、非連携のシステム（例えば学校、塾、練習場、教室などで非連携のもの）で学習（授業）の頻度が多い、又は多くカリキュラムされている教科は比較的学習頻度が高いことを前提として学習の習慣がついたか判断し、逆に頻度が比較的少ないものはそれを前提として学習の習慣がついたか判断する。また学習をするために対話式学習システムがどの程度の対話の頻度で学習をすることを促したか、又は、そのようにさせるように導いたかとの相対関係で評価をすることもできる。つまり、学習の促しや、導きのための発言回数と実際の学習が行われた回数との比で学習の習慣化を計測することもできる。 "(1) Evaluation of the degree to which spontaneous learning is made habitual" can be mainly acquired from the learning history. The habitation is the rhythm of learning (specifically, the date and time of learning), the duration of learning, external information (user's SNS statement, interactive SNS statement of interactive learning promotion system, etc. Comments of users, various information that can be acquired from SNS (for example, information such as lessons at school, tests, simulation tests outside school, information on population of simulation tests: various preparatory schools, various learning schools, etc. on SNS (Information sent to) can be evaluated periodically and it can be evaluated by how its variation fluctuates. Human life has a periodic rhythm to some extent. For example, it is already known to have a biorhythm. Therefore, in the case of a student who evaluates the habitation of learning in the cycle of biorhythm, evaluates each semester as a unit of the cycle if it is a student, or learns according to a weekly schedule (curriculum) Can be evaluated on a weekly basis. In addition, since variation due to people is large, the evaluation cycle may be different for each user. Furthermore, the evaluation period may be calculated and used from the learning history of the user without using a given period. Also, the rhythm of learning may be measured by category of the content to be learned. For example, in the case of general junior high school students and high school students, it is common for the rhythm of learning to be different for each subject because there are subjects that are frequently studied at school and those that are not. Therefore, for example, the frequency of learning (classes) is high with an external learning system linked with an interactive learning promotion system, or a non-linked system (eg not linked in a school, acupuncture, practice ground, classroom etc), or Many curricula are subject to a relatively high frequency of learning to determine whether learning habits have been reached, and conversely, those having a relatively low frequency are determined on the basis of learning habits. It is also possible to evaluate in relation to how often the interactive learning system encourages learning in order to learn, or whether it has led to do so. That is, it is also possible to measure the habituation of learning by the ratio of the number of utterances for guidance or guidance to the number of times of actual learning.
　「（２）自発的な学習の質の評価」は、主に学習履歴情報と学習効果情報を利用して取得することができる。学習効果情報とは、学習をした量に対する能力の向上で一般に測定できる。前者は学習履歴情報を用いて算出し、後者は学習効果情報を用いて算出し、両者の比（学習効果情報によって算出される値／学習履歴情報で算出される値）で自発的な学習の質の評価を行うことができる。自発的な学習の評価の質は、ユーザ単位で過去の比の値と、現在の比の値を比較して、値が大きくなっている場合に自発的な学習の質が向上したと判断することができる。さらにユーザ単位でなく、特定の母集団内での現在の特定のユーザ比の値を偏差値として算出して母集団内での自発的な学習の質の評価を行ってもよい。 "(2) Evaluation of the quality of spontaneous learning" can be acquired mainly using learning history information and learning effect information. The learning effect information can generally be measured by the improvement of the ability to learn. The former is calculated using learning history information, the latter is calculated using learning effect information, and the ratio of both (value calculated by learning effect information / value calculated by learning history information) An assessment of quality can be made. The quality of evaluation of spontaneous learning is determined by comparing the value of the past ratio and the value of the current ratio on a per-user basis, and determining that the quality of spontaneous learning is improved when the value is larger be able to. Further, the value of the current specific user ratio within a specific population may be calculated as a deviation value instead of the user unit to evaluate the quality of spontaneous learning within the population.
　「（３）自発的な学習によってどの程度その学習内容を習得できたかの評価」は、能力として到達すべき目標に対する到達度合で評価する。例えば九九の暗記であれば、ある程度繰り返して九九を暗唱できれば到達１００％と評価できるし、半分程度しか暗証できない場合には到達５０％と評価する。あるいは、ある期間に暗記すべき英単語のリストが１００単語分あり、ある程度の繰り返しで１００単語を間違いなく暗証できている場合には到達度１００％と評価でき、半分の場合には到達度５０％と評価する。 "(3) Evaluation of how much the learning content has been acquired by voluntary learning" is evaluated as the ability to reach the goal to be achieved. For example, in the case of 99 memorization, if it is possible to reciprocate 99 to a certain extent, it can be evaluated as 100% reached, and if only about half can be detected, it is evaluated as 50% reached. Alternatively, if there is a list of 100 English words to be memorized in a certain period, and if 100 words can be correctly identified with a certain degree of repetition, then the achievement degree can be evaluated as 100%; Evaluate as%.
　「（４）自身で自身の学習の進み具合をどのように自己判断しているかの評価」は、ＳＮＳ上でのユーザの発言を主に分析して判断することができる。このユーザの発言は自発的な発言であってもよいし、対話式学習促進システムによって選択され発せられた発言に応じた回答の発言であってもよい。学習状況情報は、ユーザの脳内やユーザの身に着けた技能に依存するために外形上の情報のみから精度の高い評価をすることは困難である。そこで、ユーザ自身の自覚している状況をも鑑みて学習状況情報を算出するように構成する。ユーザの発言の分析は、学習に関係する発言を網羅したデータベースによって行われる。発言は、類型化された複数の（多数の）意図に集約され、各意図には、学習の状況がどの程度進んでいるかという観点から評価値が付与されており、その評価値（プラスの場合とマイナスの場合があり得る。）を利用して学習状況情報を算出する。例えば「あー算数の勉強さぼっちゃった！」「しまった、算数、やり忘れた！」「算数まずい！」「算数明日はやらなくっちゃ」「算数、危険！」等は全て「算数の学習の不足に対する危機意識」という意図に集約され、学習履歴情報上はネガティブであるが、自己認識という観点からは「学習の習慣が身につきかけている」という評価に基づいてポジティブ（プラスの値）に判断することができる。逆に「算数？知らない！」「算数なんか使わない」「算数だれもできない」「算数、教え方、悪すぎ！」「算数なんか勉強しなくてもわかる！」などの発言は、「算数の学習意欲の欠如」という意図に集約され、自己認識という観点から「学習の習慣がいまだに身についていない」という評価に基づいてネガティブ（マイナスの値）に判断することができる。 “(4) Evaluation of how self-judgement of self-study progress is self-judged” can be judged mainly by analyzing the user's speech on SNS. The user's utterance may be a spontaneous utterance or may be an utterance of an answer corresponding to the utterance selected and emitted by the interactive learning promotion system. It is difficult to evaluate the learning situation information from the information on the outline only with high accuracy because it depends on the user's brain and the skill worn by the user. Therefore, the learning status information is calculated in consideration of the user's own awareness. The analysis of the user's speech is performed by a database covering speech related to learning. The remarks are collected into typified multiple (multiple) intentions, and each intention is given an evaluation value in terms of how far the learning situation has progressed. And may be negative) to calculate the learning situation information. For example, "Students have been studying arithmetic!" "I have finished arithmetic, I forgot to do it!" "I am not good at arithmetic!" "I have to do arithmetic tomorrow," "calculation, danger!" It is integrated in the intention of crisis awareness, and it is negative in the learning history information, but it is judged positive (positive value) based on the evaluation that "the learning habit is worn" from the viewpoint of self-perception be able to. On the other hand, comments such as "do not use arithmetic? Do not use arithmetic" "can not do arithmetic" "math, how to teach, too bad!" "I understand even if I do not study arithmetic"! It can be judged as negative (minus value) based on the evaluation that "the learning habits are not yet acquired" from the viewpoint of self-perception.
　「（５）自身の学習の進み具合を自身を取り巻く関係者がどのように評価しているかの評価」は、ＳＮＳ上でのユーザの関係者の発言を主に分析して判断することができる。このユーザの関係者の関係者の発言は自発的な発言であってもよいし、対話式学習促進システムによって選択され発せられた発言に応じた関係者の回答の発言であってもよい（関係者を含むＳＮＳグループ内での対話式学習促進システムによる発言にユーザの関係者が応答したもの）。学習状況情報は、外形上の情報のみから精度の高い評価をすることは困難である。そこで、ユーザの関係者の評価状況をも鑑みてユーザの学習状況情報を算出するように構成する。ユーザの関係者の発言の分析は、同じく学習に関係する発言を網羅したデータベースによって行われる。発言は、類型化された複数の（多数の）意図に集約され、各意図には、学習の状況がどの程度進んでいるかという観点から評価値が付与されており、その評価値（プラスの場合とマイナスの場合があり得る。）を利用して学習状況情報を算出する。ただし、ユーザとその関係者との関係に応じて重み付けをするように構成してもよい。例えばユーザの両親の発言は重み付けを小さくし（両親の場合には客観性に欠ける発言があるとの前提）、ユーザの友人の発言（友人は客観的かつ親身に発言するという前提）は同じ発言であっても重み付けを大きくすることが考えられる。 "(5) Evaluation of how the people who surround themselves evaluate the progress of their own learning" can be judged mainly by analyzing the remarks of the user's people on SNS . The remarks of the related parties of the user may be spontaneous remarks or may be remarks of the answers of the people corresponding to the remarks selected and emitted by the interactive learning promotion system (relationship The person concerned of the user responds to the speech by the interactive learning promotion system in the SNS group including the person). It is difficult to evaluate the learning situation information with high accuracy based on only the information on the external form. Therefore, the learning situation information of the user is calculated in consideration of the evaluation situation of the person concerned of the user. The analysis of the utterances of the participants of the user is also performed by a database covering the utterances related to learning. The remarks are collected into typified multiple (multiple) intentions, and each intention is given an evaluation value in terms of how far the learning situation has progressed. And may be negative) to calculate the learning situation information. However, weighting may be performed according to the relationship between the user and the related party. For example, the weight of the user's parents' speech is reduced (in the case of parents, it is assumed that there is a speech without objectivity), and the speech of the user's friends (the premise is that friends are objectively and kindly) is the same speech Even if, it is possible to make weighting large.
　「（６）学習の意欲の程度の評価」学習の意欲が向上すると自ずと学習が習慣化されるので学習状況情報を算出するために学習の意欲の程度を評価することが役に立つ。評価は主にＳＮＳ上のユーザの発言、学習履歴情報、学習効果情報を分析して行うことができる。ユーザの発言の分析は、学習に関係する発言を網羅したデータベースによって行われる。発言は、類型化された複数の（多数の）学習意欲に関係する意図に集約され、各意図には、学習の意欲がどの程度あるかという観点から評価値が付与されており、その評価値（プラスの場合とマイナスの場合があり得る。）を利用して学習の意欲の程度の評価値を算出することができる。ユーザのその時点での学習意欲の正確な把握は、他者との間で相対的に分析するように構成してもよい。さらに、過去と現在の相対的な比較によるユーザの現在の学習意欲の程度を分析することも効果的である。 "(6) Evaluation of the degree of motivation for learning" As the motivation for learning is improved, learning is naturally made, so it is useful to evaluate the degree of motivation for learning in order to calculate learning situation information. The evaluation can be performed mainly by analyzing the user's speech on the SNS, learning history information, and learning effect information. The analysis of the user's speech is performed by a database covering speech related to learning. The remarks are collected into intentions related to typified multiple (many) learning intentions, and each intention is given an evaluation value in terms of how much the learning intention is, and the evaluation value is An evaluation value of the degree of motivation for learning can be calculated using (positive and negative cases may be used). The accurate grasp of the user's current learning intention may be configured to analyze relative to others. Furthermore, it is also effective to analyze the user's current willingness to learn based on relative comparison between past and present.
　例えば、Ａは学習システムを通じて毎日一定時間の勉強を計画的に行っているものの、最近成績が伸び悩んでおり、Ｂは部活に夢中のために部活のある日は特に、それ以外の日にも、学習システムを通じて殆ど学習をしておらず、Ｃは就労しながら資格取得に向けた勉強をしており夜遅くに短時間手も学習システムを通じた学習を行っている、と想定する。２２時近辺で、Ａ、Ｂ、Ｃのいずれもが「疲れた」という趣旨の発言をＳＮＳを通じて発信したことが確認されたとする。一般的に「疲れた」という発言が休息を求める趣旨であることから、学習意欲の程度が低い場合を指す。しかし、疲れていても学習をすることの必要性を感じているのかを、外部情報と学習履歴情報・学習効果情報から推測することで、ある発言時の学習意欲の程度について、そのユーザ独自の学習分析ルールを構築することができる。Ａの場合、日々の勉強に疲れを感じていると推測され、「疲れた＝学習意欲は低下気味である」というルールが特徴に合わせた学習分析ルールとなる。Ｂの場合、部活動によって体が疲れており、早く寝たいと思っていると推測され、「疲れた＝学習意欲がない」というルールが特徴に合わせた学習分析ルールとなる。Ｃの場合、仕事によって肉体と脳が日常的な疲れを感じていると推測され、「疲れた＝学習意欲はあるが、最優先ではない」というルールが特徴に合わせた学習分析ルールとなる。 For example, although A regularly studies for a certain period of time every day through the learning system, the results have recently been sluggish, and B is particularly busy on club days, especially on days with club activities on other days, It is assumed that C is hardly learning through the learning system, and C is studying to obtain qualification while working and learning is performed through the learning system for a short time late at night. It is assumed that it has been confirmed around 22:00 that all of A, B, and C have sent a statement to the effect of "tired" through SNS. In general, it refers to the case where the degree of willingness to learn is low, since the statement "fatigue" is intended to seek rest. However, if the user feels the necessity of learning even if he / she is tired, from the external information and the learning history information and the learning effect information, the user's own learning about the degree of willingness to learn at a given utterance Learning analysis rules can be constructed. In the case of A, it is presumed that we feel tired from our daily study, and the rule of "I'm tired = a desire to learn is apt to decline" is a learning analysis rule that matches the feature. In the case of B, it is inferred that the club activity makes the body tired and wants to go to bed early, and the rule of "tired = not motivated to learn" becomes a learning analysis rule that matches the feature. In the case of C, it is assumed that the body and brain feel tired everyday because of work, and the rule of "It is tired = there is a willingness to learn, but it is not the top priority" becomes a learning analysis rule that matches the feature.
　＜実施形態１２　第一学習状況情報分析取得部＞
　「第一学習状況情報分析取得部」は、ユーザ識別情報に関連付けられている取得した外部情報と、学習履歴情報と、学習効果情報と、同じユーザ識別情報に関連付けられている学習分析ルールとに基づいて学習状況情報を取得する。取得された学習状況情報は当該第一学習状況情報分析取得部に過去の分も含めてユーザ識別情報や出力された対話情報と時間的に関連付けて保存されていてもよいし、ユーザ識別情報と関連付けられた情報として保存されているユーザ属性情報の一部として保存されてもよい。上述の（１）自発的な学習を習慣化できた程度、（２）自発的な学習の質、（３）自発的な学習によってどの程度その学習内容を習得できたか、（４）自身で自身の学習の進み具合をどのように自己判断しているか、（５）自身の学習の進み具合を自身を取り巻く関係者がどのように評価しているか、（６）学習の意欲の程度、の一以上のそれぞれの評価を総合的に分析することによって取得されるように構成することができる。（１）から（６）の各要素からは、比較評価の観点が含まれていることから、マイナスの評価値が得られることがある。なお、学習状況情報は、ユーザの学習している学習単位ごとに取得してもよいし、学習科目を単位としてもよいし、例えば科目の上位概念的カテゴリ（例えば、理系科目、文系科目、体育系科目、芸術系科目など）を単位としてもよい。学習単位を特定しないで全体的に取得してもよい。 Embodiment 12 First Learning Situation Information Analysis Acquisition Unit
The “first learning status information analysis acquisition unit” includes the acquired external information associated with the user identification information, the learning history information, the learning effect information, and the learning analysis rule associated with the same user identification information. Acquire learning situation information based on it. The acquired learning status information may be stored temporally in the first learning status information analysis acquiring unit in association with the user identification information and the output dialogue information, including the past one, It may be stored as part of user attribute information stored as associated information. (1) Degree of habitation of spontaneous learning mentioned above (2) Quality of spontaneous learning (3) How much could you learn the content of learning by voluntary learning (4) yourself How do you judge the progress of your own learning, (5) How does the person who surrounds you evaluate your own progress, (6) The degree of motivation for learning It can be configured to be acquired by comprehensively analyzing each of the above evaluations. From the elements of (1) to (6), a negative evaluation value may be obtained because it includes the viewpoint of comparative evaluation. The learning status information may be acquired for each learning unit the user is learning, or may be in units of learning subjects. For example, upper conceptual categories of subjects (for example, science subjects, arts subjects, physical education, etc.) It is also possible to take a course subject, an artistic subject, etc. as a unit. The learning unit may be acquired entirely without specifying it.
　また、定性的な学習状況情報を結果として出力するように構成することも可能である。代表的な情報としてはユーザが各学習単位（学習単位そのもの、学習単位に関連する学習環境、学習単位に関係する学習システム等を含む。以下実施形態１２から実施形態１９に関して同様とする。）、その上位概念、下位概念、組合せに対して抱く心理的な情報を含む。例えば「算数の学習に困難を感じている状況」「九九の暗記につかれている状況」「二次方程式の学習は面白いと感じている状況」「歴史の学習のうち古代には興味がないという状況」「棒高跳びは怖いと感じている状況」「将棋の学習は面白いと感じている状況」「生け花の学習はもうしたくないと感じている状況」「やったことがないけどコマ回しの学習をしたいと考えている状況」「パソコンの学習をしなければいけないと考えている状況」など、各種の定性的なユーザの学習状況情報を出力できるように構成することができる。定性的な情報は、類型化されて準備されており、各類型に関して程度を示す値が与えられる。類型化とは、各学習単位に関して、「興味」「楽しさ」「困難さ」「必要性」「満足感」「倦怠感」「危機感」「意欲」等の一以上のユーザの内面を示す指標である内面指標に対してそのユーザの程度を示す値を例えばマイナス５からプラス５までの値を与えるような構成である。内面指標は対話式学習促進システムの設計思想に基づいて選択される。例えばあるユーザの「興味」という類型項目が「算数の九九」について「マイナス２」である場合にはそのユーザは多少算数の九九に興味が薄いことを示す。 Moreover, it is also possible to comprise so that qualitative learning condition information may be output as a result. Representative information includes each learning unit (including the learning unit itself, the learning environment related to the learning unit, the learning system related to the learning unit, and the like. The same applies in the following embodiments 12 to 19). It includes psychological information about the upper concept, the lower concept, and the combination. For example, "a situation in which it is difficult to learn arithmetic", "a situation in which memories of ninety-nine memos are", "a situation in which learning of quadratic equations is considered to be interesting", "a history study is not interesting in ancient times "The situation where I feel scared of pole vaulting" "The situation where I think that learning of Shogi is interesting" The situation where I feel that I do not want to study ikebana "" I have never done it but I've never done it It can be configured to be able to output various qualitative user's learning situation information, such as a situation where one wants to learn and a situation where one needs to learn a personal computer. Qualitative information is typed and prepared, and a value indicating the degree is given for each type. Typology refers to one or more internal users, such as “interest,” “enjoyment,” “difficulty,” “necessity,” “satisfaction,” “feeling of crisis,” “feeling of crisis,” “motivation,” etc. for each learning unit. For the inner surface index which is the index, a value indicating the degree of the user is given, for example, a value from -5 to +5. The inner index is selected based on the design concept of the interactive learning promotion system. For example, if the type item "interest" of a certain user is "minus 2" for "ninety nines of arithmetic", the user indicates that he / she is somewhat less interested at ninety nines of arithmetic.
　定性的な評価もすでに説明した通り、（１）自発的な学習を習慣化できた程度、（２）自発的な学習の質、（３）自発的な学習によってどの程度その学習内容を習得できたか、（４）自身で自身の学習の進み具合をどのように自己判断しているか、（５）自身の学習の進み具合を自身を取り巻く関係者がどのように評価しているか、（６）学習の意欲の程度、の一以上の観点などから演算して出力することができる。さらに、学習単位に対する感情指標として、安心、不安、感謝、驚愕、興奮、好奇心、冷静、焦燥 (焦り)、不思議 (困惑)、幸運、リラックス、緊張、名誉、責任、尊敬、親近感 (親しみ)、憧憬 (憧れ)、欲望 (意欲)、恐怖、勇気、快感、後悔、満足、不満、無念、嫌悪、恥、罪悪感、期待、優越感、劣等感、苦しみ、悲しみ、切なさ、感動、怒り、諦め、絶望、憎悪、空虚などの精神的状況をＳＮＳユーザ関連情報から取得し、格付け又は点数化して前記内面指標の算出に利用してもよいし、感情指標を内面指標とは別個に保持し、学習状況情報を算出するために利用したり、これらの感情指標をダイレクトに学習状況情報に含むように構成することが考えられる。 As described in the qualitative evaluation, (1) the degree of habitation of spontaneous learning, (2) the quality of spontaneous learning, and (3) how much the learning content can be acquired by voluntary learning (4) How do you judge the progress of your own learning by yourself? (5) How does the person who surrounds you evaluate the progress of your own learning? (6) It can be calculated and output from one or more viewpoints of the degree of motivation for learning. Furthermore, as an emotion index for a learning unit, peace of mind, anxiety, gratitude, surprise, excitement, excitement, curiosity, calmness, irritability, wonder (embarrassment), good luck, relaxation, tension, honor, responsibility, respect, familiarity (intimacy) ), Jealousy (faithfulness), lust (motivation), fear, courage, pleasure, regret, satisfaction, dissatisfaction, remorse, hate, shame, guilt, expectation, superiority, inferiority, suffering, sadness, intimacy, Mental situations such as anger, licking, hopelessness, hate, emptiness, etc. may be obtained from SNS user related information, rated or scored and used for calculation of the inner indicators, and the emotional indicators may be used separately from the inner indicators It is possible to hold it and use it to calculate learning status information, or to configure these emotion indicators directly in learning status information.
　以上で学習状況情報としては学習の習慣化の観点からの数値評価と、定性的な学習に対するユーザの内面的姿勢の観点からの評価のいずれか一方又は両者であってよい。学習状況情報は定量的又は定性的に評価するものであって、数値の重みをどのような各要素に分配するか、定性的にどのような結果を出すか、はシステムの設計意図による。学習状況情報を総合的に分析する方法としては、各要素の評価値を合計することで分析値を取得する構成が考えられる。あるいは、各要素ごとに重み付けを異ならせて分析値を取得する構成が考えられる。あるいは、完全な習慣が身についている場合を１００として、そこに各要素の評価値（完成度１００に対する割合）を乗じることによって分析値を取得する構成が考えられるこの場合、各要素の評価値が完成度１００に対する割合として取得されている場合には、各要素の評価値がマイナスを示すことはない。 As described above, the learning situation information may be either one or both of numerical evaluation from the viewpoint of learning habituation and evaluation from the viewpoint of the user's internal posture for qualitative learning. The learning situation information is to be evaluated quantitatively or qualitatively, and to which factor the weight of the numerical value is distributed and what result is qualitatively produced depends on the design intention of the system. As a method of comprehensively analyzing learning situation information, a configuration may be considered in which analysis values are acquired by summing up evaluation values of respective elements. Alternatively, a configuration may be considered in which analysis values are acquired with different weightings for each element. Alternatively, a configuration may be considered in which an analysis value is obtained by multiplying the evaluation value (ratio to completeness 100) of each element by assuming that the case of complete habit is 100 and in this case, the evaluation value of each element When acquired as a ratio to the degree of completion 100, the evaluation value of each element does not indicate negative.
　なお、学習状況情報は、外部（本対話式学習促進システムと運用者やコンピュータ、サーバ、筐体が同一であるか否かは問わない。また実施形態１２から実施形態１９にわたって同様。）の学習システム（単数であるか複数であるかを問わない。実施形態１２から実施形態１９にわたって同様。）のカリキュラムの作成、変更のために学習システムに対してフィードバックされるように構成することも可能である。一般には、学習カリキュラムの変更はテストの成績かユーザの要望によって変更されるが、学習状況情報に基づく場合にはよりユーザの学習効率を良くできるものと思われる。なぜなら学習状況情報は、学習の習慣化やユーザの心理面などの定性的な情報からなっており、ユーザの学習に関しての情報としては一般のものよりもより深いからである。カリキュラムの変更は学習単位の入れ替えや、新設、学習単位の時間配分、時間間隔、学習科目の新設、学習科目の削除、学習方法の変更（例えば文字中心から表・図・絵・動画中心に、数式中心から表・図・絵・動画中心に、座学から自宅学習へ、書籍中心からインターネット情報中心へ）などである。フィードバックは外部の学習システムが自動的に受け入れて、その学習状況情報に応じて自動的にカリキュラム等が変更されるように設計することもできるし、カリキュラムの変更等の推薦を文字や数式や音声などで出力し、カリキュラム等の変更は外部の学習システム管理者が行うように構成してもよい。 In addition, learning of learning condition information (It does not matter whether this interactive learning promotion system and an operator, a computer, a server, and a case are the same. Moreover, it is the same from Embodiment 12 to Embodiment 19). It is also possible to be configured to be fed back to the learning system for creating and changing the curriculum of the system (whether singular or plural, and the same from the twelfth embodiment to the nineteenth embodiment). is there. Generally, the change of the learning curriculum is changed depending on the test results or the user's request, but it is considered that the learning efficiency of the user can be improved more based on the learning situation information. This is because the learning status information is made up of qualitative information such as learning habits and user's psychological aspect, and is deeper than general information as information regarding user's learning. Curriculum is changed by changing learning units, creating new units, allocating time units of learning units, setting time intervals, adding new learning subjects, deleting learning subjects, changing learning methods (for example, focusing on letters, tables, drawings, pictures, videos, etc.) From mathematical formulas to tables, figures, pictures and videos, from lectures to home study, from books to books, etc. Feedback can be designed so that an external learning system automatically accepts it, and the curriculum etc. is automatically changed according to the learning situation information. It may be configured such that an external learning system administrator performs change of the curriculum etc.
　＜実施形態１２　第一学習対話情報蓄積部＞
　「第一学習対話情報蓄積部」は、ユーザ識別情報に関連付けて取得した学習状況情報に応じて発信すべき対話情報を蓄積する。対話情報は、一般社会においておよそ発言される可能性があるありとあらゆる会話がデータベースとして蓄積されている。本件対話式学習促進システムで、ユーザに対して学習促進又は学習習慣の定着のアドバイスをする際のベースとなる会話の例文を特に重厚に保持している。一般的な会話情報の辞書の他に学習に関して専門的な辞書のようなものを有するのが好ましい。言語はユーザが解する言語で蓄積していてもよいし、日本語や英語、中国語などの標準言語によって対話情報を蓄積し、ユーザの使用言語に合わせて翻訳して選択されるように構成することもできる。従って、言語辞書データベース、会話辞書データベース、などをベースに基礎を構築し、さらにＳＮＳや、情報提供サイト、企業広告のサイト、掲示板サイト、電話の通話内容、等本件対話式学習促進システムが閲覧視聴収集可能なすべての情報源から収集した対話情報を蓄積することが好ましい。これらには例えば方言、ギャル語、絵文字、顔文字、隠語、造語、新語、略語、慣用語などが含まれていてよく、これらは人工知能によって収集され、徐々に会話精度が高まる（意図が正確に伝わる）ように構成されることが好ましい。さらに、学習促進アドバイスなどを構成する対話情報は、専門的な各学習単位（分野）で用いられる用語であったり、特定の学習分野名や、特定の学校、学習塾、教室、通信教育、流派、会派、役職名、その他造語を用いて行うことが考えられる。専門用語や特定の固有名詞等や造語は、ネット上から確実に取得できるとは限らないため、蓄積部に直接入力することで、特殊な言語群の入力が行えるように構成しておくことが好ましい。さらに対話情報として、学習単位（その上位概念、下位概念も含む）の理解度を本システム側で知るための質問、問題等が含まれていてもよい。これによってユーザの学習状況情報の精度を高めることができる。 Embodiment 12 First Learning Dialogue Information Storage Unit
The “first learning dialogue information accumulation unit” accumulates dialogue information to be transmitted according to the learning status information acquired in association with the user identification information. The dialogue information is stored in a database as any and every conversation that may be spoken in the general society. In the present interactive learning promotion system, the example sentence of the conversation, which is the basis for giving the user advice on learning promotion or learning habits, is held particularly deeply. In addition to a general dictionary of conversational information, it is preferable to have something like a specialized dictionary for learning. Languages may be stored in a language understood by the user, or dialog information may be stored in a standard language such as Japanese, English, or Chinese, and configured to be translated and selected according to the user's language used You can also Therefore, the foundation is built on the basis of language dictionary database, conversation dictionary database, etc. Furthermore, SNS, information provision site, corporate advertisement site, bulletin board site, telephone call contents, etc. It is preferable to accumulate dialogue information collected from all sources that can be collected. These may include, for example, dialects, gal words, pictograms, emoticons, secret words, coined words, new words, abbreviations, idioms, etc., which are collected by artificial intelligence and gradually improve speech accuracy (intentionally accurate) Preferably). Furthermore, the dialogue information constituting the learning promotion advice etc. is a term used in each specialized learning unit (area), a specific learning field name, a specific school, a learning school, a classroom, a correspondence education, a school It may be possible to do this by using a group school, a job title, or any other coined word. Since technical terms, specific proper nouns, and coined words can not always be reliably acquired from the Internet, it is possible to configure to be able to input special language groups by directly inputting into the storage unit. preferable. Further, the dialogue information may include a question, a question, and the like for the system to know the understanding level of the learning unit (including its upper concept and lower concept). This can improve the accuracy of the user's learning situation information.
　本件対話式学習促進システムは、ユーザ一人一人の個性を反映させて、ユーザにとって自然な会話となるように対話情報を選択して出力することによって、ユーザに対してあたかも自分を心配してくれている生身の人間と接しているかのような感情を抱かせることに特徴がある。そのため、ユーザの普段の会話に合わせて、丁寧な言葉遣いにするのか、口語調のラフな言葉遣いにするのか、大阪弁や博多弁などの方言にするのか、文書中に英語を取り混ぜた言葉遣いにするのか、といった会話内容の選択だけでなく会話の形式を選択できるように対話情報が蓄積されていることが好ましい。対話情報蓄積部は、対話の形成の違いごとに同じ意味合いの対話であっても違うものとして対話情報を蓄積してもよい。すなわち、感謝の気持ちを表現する対話情報として、「ありがとうございます。」「ありがとう」「ありがとー」「おおきに」「サンキュー」「Ｔｈａｎｋ　ｙｏｕ」等の表現をすべて異なる対話情報として蓄積しておく。あるいは、対話情報蓄積部は、意味合いごとに一番基本的となる対話情報のみを蓄積して、後述する対話情報出力部によって、対話情報蓄積部から選択した基本となる対話情報をユーザの個性にあった対話形式に変換する方法が考えらえる。この場合、基本となる対話情報をユーザごとの特性に即した対話形式に変換するルールは、ユーザ別対話情報選択ルールに含まれている。この場合の対話情報蓄積部には、「ありがとうございます。」「ありがとう」「ありがとー」「おおきに」「サンキュー」「Ｔｈａｎｋ　ｙｏｕ」等はすべて感謝を表す表現であるから、基本となる対話情報として「ありがとうございます」のみが保存されることになる。 The interactive learning promotion system is as concerned with the user as it is by reflecting on the individuality of each user and selecting and outputting the dialogue information so as to be a natural conversation for the user. It is characterized by having the feeling as if you are in contact with a living human being. Therefore, according to the user's daily conversation, whether to use polite language, rough language with spoken language, or dialects such as Osaka dialect or Hakata dialect, words that mix English in the document It is preferable that dialogue information be stored so that not only the choice of the contents of the conversation, such as whether it will be lost, but also the type of conversation can be selected. The dialogue information storage unit may store dialogue information as a dialogue having the same meaning depending on differences in formation of the dialogue. That is, as dialogue information expressing the feeling of gratitude, expressions such as "Thank you", "Thank you", "Thank you", "Okini", "Thank you", "Thank you", etc. are all accumulated as different dialogue information. Alternatively, the dialogue information storage unit accumulates only the most basic dialogue information for each meaning, and the dialogue information output unit described later sets the basic dialogue information selected from the dialogue information storage unit to the individuality of the user. I can think of a way to convert it into an interactive form. In this case, a rule for converting the basic dialogue information into a dialogue style conforming to the characteristics of each user is included in the user-by-user dialogue information selection rule. In the dialogue information storage part in this case, “thank you.” “Thank you” “Thank you” “Okini” “Thank you” “Thank you” “Thank you” etc. are all expressions that express gratitude. Only "Thank you" will be saved.
　第一学習対話情報蓄積部に蓄積された対話情報は、インターフェイスモニタに表示可能なように構成しておいてもよい。蓄積された対話情報が表示されたインターフェイス画面上から、手動で対話情報の追加、変更、削除といった管理行為を行うことが可能なように、対話情報蓄積部管理手段を第一学習対話情報蓄積部が有するように構成する、あるいは、対話情報蓄積部管理部が新たな構成として設けられるように構成することが考えられる。第一学習対話情報蓄積部の管理行為は、本件対話式学習促進システムの管理及び提供を行う者が行うことを想定している。さらに対話情報蓄積部には、対話情報として使用してはならない対話情報を保持して、そのような対話情報を選択されないように、又は選択可能に蓄積されないように構成することができる。使用してはならない対話情報は差別用語や、社会的な事件に関係し取り扱いが難しい対話情報である。またこれはユーザの属性に応じて定めるように構成することもできる。 The dialogue information accumulated in the first learning dialogue information accumulation unit may be configured to be able to be displayed on the interface monitor. The dialogue information storage unit management means is a first learning dialogue information storage unit so that management actions such as addition, change and deletion of dialogue information can be manually performed on the interface screen on which the accumulated dialogue information is displayed. It can be considered that the communication information storage unit management unit is provided as a new configuration. The management action of the first learning dialogue information storage unit is assumed to be performed by a person who manages and provides the interactive learning promotion system of the present invention. Furthermore, the dialogue information storage unit can be configured to hold dialogue information that should not be used as the dialogue information so that such dialogue information is not selected or accumulated so as to be selectable. Dialogue information that should not be used is discriminatory terms and dialogue information related to social cases and difficult to handle. It can also be configured to be defined according to the user's attributes.
　＜実施形態１２　第一学習ユーザ別対話情報選択ルール保持部＞
　「第一学習ユーザ別対話情報選択ルール保持部」は、取得した学習状況情報に基づいて蓄積されている対話情報を選択するユーザ識別情報に関連付けられたルールであるユーザ別対話情報選択ルールを保持する。ユーザ別対話情報選択ルールは、ユーザに対してあたかも自分を心配してくれている生身の人間と接しているかのような感情を抱かせるために、ユーザ一人一人の個性を反映させて、ユーザにとって自然な会話となるように対話情報を選択するためのルールである。外部情報である、ＳＮＳのユーザ発信情報等（文字による発言、音声による発言、閲覧記録、登録している他のＳＮＳユーザ、等に関する情報）から、ユーザの対話の形式に即した会話の形式の選択、取得された学習状況情報に基づいて会話の内容の選択、との両選択を合わせてユーザの個性を反映した対話情報を選択することのできるルールである。 <The 12th embodiment: dialogue information selection rule holding unit for each first learning user>
The “first learning user category dialogue information selection rule holding unit” holds a user category dialogue information selection rule which is a rule associated with user identification information for selecting dialogue information accumulated based on the acquired learning situation information Do. The user-specific dialog information selection rule reflects the individuality of each user in order to make the user feel as if he or she is in contact with a real human being who is worried about himself. It is a rule for selecting dialogue information so as to be a natural conversation. From the external information, SNS user-sent information etc. (information about the speech by speech, speech by speech, browsing records, other SNS users who are registered, etc.), the form of conversation according to the form of the user's dialogue It is a rule which can select the dialogue information reflecting the individuality of the user by combining the selection and the selection of the contents of the conversation based on the selection and the acquired learning situation information.
　対話形式には、丁寧語、口語、ギャル語、大阪弁、京都弁、博多弁、名古屋弁、北海道弁、沖縄弁などの各地方の方言、等形式的に事前に登録してある一般的対話情報選択ルールから選択してユーザ別対話情報選択ルールとする方法と、ユーザの会話情報から全てオリジナルに組み立てる方法が考えられる。ユーザがより身近な、かつ生身の存在であるかのように本件対話式学習促進システムを認識できるのは、ユーザの個性をより強く反映できる、対話形式をオリジナルに組み立てる方式である。しかし、ユーザが本件対話形式学習促進システムを使い始めた段階では、ユーザの個性を分析するための外部情報の蓄積量が少ない。したがって、ユーザの個性に応じたオリジナルの形式を選択するためのルールを取得するのに十分な情報がない場合には自動的にデフォルトの形式を選択する。例えばユーザに対話形式を選択登録させることでユーザの好みの対話形式で開始するように構成することが考えられる。また、ユーザの属性に応じて適切な対話形式の対話情報を自動的に選択するように構成しもよい。ユーザの属性とは、年齢、性別、出身地、現住所地、国籍、使用言語、ＳＮＳでの会話（対話）形式、ＳＮＳでの友人の会話（対話）形式、好みの服装種別、好みの映画種別、好みの書籍種別、好みの有名人種別（タレント、俳優、政治家、著述家、歌手、芸人、歴史上の人物、アナウンサー、キャラクター）、趣味、嗜好などである。対話情報選択ルールの取得に十分なユーザの外部情報、学習履歴情報、学習効果情報が蓄積されたら、ユーザの個性に応じた形式の対話情報を第一学習対話情報蓄積部から選択するような固有のユーザ別対話情報選択ルールを構成する。これは人工知能によって外部情報に基づき日々適切な対話情報が選択されるように更新されるとよい。 General dialogues that are registered in advance are formally registered, such as polite language, spoken language, gal language, Osaka dialect, Kyoto dialect, Hakata dialect, Nagoya dialect, Hokkaido dialect, Hokkaido dialect, etc. There are conceivable a method of selecting from information selection rules and setting it as a user-by-user dialogue information selection rule, and a method of assembling all of the user's conversation information into an original. What can recognize the present interactive learning promotion system as if the user is closer and live is the method of assembling an interactive form that can more strongly reflect the user's individuality. However, when the user starts using the interactive learning promotion system, the amount of external information accumulated for analyzing the user's individuality is small. Therefore, if there is not enough information to acquire a rule for selecting an original format according to the user's personality, a default format is automatically selected. For example, it can be considered that the user can select and register an interactive form and start it in the interactive form of the user's preference. Further, it may be configured to automatically select the appropriate interactive dialogue information according to the user's attribute. The attributes of the user are age, gender, birthplace, present address, nationality, language used, SNS conversation (dialogue) format, SNS friend conversation (dialogue) format, favorite clothes type, favorite movie type , Favorite book type, favorite celebrity type (talent, actor, politician, writer, singer, performer, historical person, announcer, character), hobbies, taste, etc. If the user's external information, learning history information, and learning effect information sufficient for acquiring the dialogue information selection rule are accumulated, the dialogue information in a format corresponding to the user's individuality is selected from the first learning dialogue information storage unit Configure per-user dialog information selection rules for This may be updated by artificial intelligence so that appropriate dialogue information is selected on the basis of external information on a daily basis.
　ユーザのＳＮＳの会話情報から対話情報の形式を分析するうえで、単にユーザの発言形式のみにとらわれるのではなく、ユーザが頻繁にやりとりを行っている友人や家族の会話形式を分析して、ユーザ別対話情報選択ルールを組み立てることが考えられる。ユーザが実際に日常的に会話をしている会話相手の話し方を分析して反映させることで、友人や家族と話しているような安心感を与えることが可能となる。したがって、ユーザに対してより強く、あたかもユーザのことを心配している生身の人間とやり取りをしているかのような気持ちを抱かせることが可能となり、ユーザに、誰かに励まされている、見守られている、応援されている、情けない所を見られたくない、褒めてもらえて嬉しい、上手くできなくて情けない、悲しい、といった、人間が努力を反復継続させるうえで欠かせない感情を持続的に抱くことが可能となる。また、普段から悩みを相談しアドバイスをしてくれる人物に似ている者からのアドバイスであれば、これに素直に従いやすくなり、ユーザが本件対話式学習促進システムからのアドバイスに従って学習促進行動をとりやすくなることも期待できる。このような観点から蓄積されている対話情報には愛情を伝える対話情報、好感度を伝える対話情報、相手を褒める対話情報、相手を励ます対話情報など感情移入できる対話情報がバラエティに富んで蓄積されていることが好ましい。 In analyzing the format of the dialogue information from the conversation information of the user's SNS, the user is not merely confined by the user's speech format, but by analyzing the conversation format of friends and family whom the user frequently interacts with, the user It is conceivable to assemble another dialogue information selection rule. By analyzing and reflecting the way of speaking of the other party the user actually talks on a daily basis, it is possible to give a sense of security as if talking with a friend or family member. Therefore, it is possible to make the user feel stronger as if he is interacting with a real human being who is worried about the user, and the user is encouraged by someone, a guard The emotions that are essential for human beings to repeat their efforts, such as being supported, supported, not wanting to be able to look at a disappointing place, happy to give up, happy not being able to do well, disappointing, sad It will be possible to hold it. In addition, if it is advice from a person who is similar to a person who consults and gives advice on a daily basis, it will be easy to follow this obediently, and the user will take learning promotion action according to the advice from this interactive learning promotion system. It can also be expected to be easier. The dialogue information accumulated from this point of view is a variety of accumulated dialogue information that can be empathic, such as dialogue information that conveys affection, dialogue information that conveys liking, dialogue information that gives up the other party, dialogue information that encourages the other party, etc. Is preferred.
　さらに、いつも否定的な発言から応答するが、何度もお願いされると断れないとか、本当はそれほど嫌ではないのに大げさに嫌がっている、とりあえず嫌がっておく、というユーザの性格が性格診断や属性情報などで取得されている場合には、ユーザからの数回の否定的応答だけでは出力した対話情報に有効性がないとは言えず、同じ対話情報の出力を平均的にユーザが受け入れるまでに要する回数より特定回数多くなるまでは繰り返すという構成にしておくことが性格を属性として分析した結果に取るべき対応として推薦される場合にはその対応を対話情報選択部が選択するルールとすることが考えられる。つまり、このようなあきらめないルール（サブステップ、サブルール）又はあきらめないプロセスをユーザ別対話情報選択ルールに含ませる、又はこれによって構成するプロセスを含むようにすることができる。 In addition, although the user always responds from a negative comment, he / she is unwilling to refuse if asked repeatedly, or he / she hates over-emphasis although it is not so disgusting as it is, it is the personality of the user that he hates it for the time being. If it is acquired as information etc., it can not be said that the output dialogue information is not effective only by a few negative responses from the user, and the user can accept the output of the same dialogue information on average If it is recommended to repeat the process until it is specified more than the required number of times, if it is recommended as a response to be taken as a result of analyzing the character as an attribute, the response may be a rule for selecting the response by the dialog information selection unit. Conceivable. That is, it is possible to include such a non-yielding rule (sub-step, sub-rule) or a process not giving up in the user-specific dialogue information selection rule, or a process including this.
　＜実施形態１２　第一学習対話情報選択部＞
　「第一学習対話情報選択部」は、学習状況情報と保持されているユーザ別対話情報選択ルールと、に基づいてそのユーザごとの特性に即した対話形式の対話情報を対話情報蓄積部から選択する。」「第一学習対話情報選択部」は、取得した学習状況情報と保持されているユーザ別対話情報選択ルールと、に基づいて対話情報を第一学習対話情報蓄積部から選択する。対話形式の違いごとに第一学習対話情報蓄積部に対話情報が蓄積されている場合には、ユーザ別対話情報選択ルールで選択された対話形式と対話内容に合致する対話情報を選択することになる。第一学習対話情報蓄積部に、対話形式の違いごとに対話情報が蓄積されておらず、対話形式にこだわらず対話の内容の意味ごとに対話情報を蓄積している場合には、ユーザ別対情報選択ルールによって指定された対話内容に従って第一学習対話情報蓄積部から基本となる対話情報を選択し、選択した対話情報をユーザ別対話情報選択ルールに指定された対話形式に合致する対話形式に変換する。この場合に基本となる対話情報は、言葉そのものでなく、一群の言葉の集合を指すものであってもよい。この場合には、感謝の気持ちを表現する対話情報に対して識別情報が付与されており、これを選択して、その後に「ありがとうございます」「ありがとう」「ありがとー」「おおきに」「サンキュー」「Ｔｈａｎｋ　ｙｏｕ」等の表現のいずれかを選択するように構成する。つまり、このようにしてユーザ別対情報選択ルールによって指定された対話内容に従って対話情報蓄積部から基本となる対話情報を選択し、選択した対話情報をユーザ別対話情報選択ルールに指定された対話形式に合致する対話形式に変換する処理が行われる。以上の作業が対話情報の選択となる。この選択はコンピュータによって瞬時に行われうるように構成する。具体的には、ＳＮＳを介してユーザからの入力を受付けるとそのユーザがＳＮＳの画面を閉じる余裕を与えないでその画面に返信が表示される程度の速度である。一例としては、平均して１から３秒以内程度である。ただし、普通の人であれば悩む必要性があるような流れの対話情報の場合にはそれ以上の時間を空けて対話情報を出力するようにしてもよい。 Embodiment 12 First Learning Dialogue Information Selection Unit
The “first learning dialogue information selection unit” selects dialogue-type dialogue information conforming to the characteristics of each user based on the learning situation information and the held dialogue information selection rule for each user from the dialogue information storage unit Do. The “first learning dialogue information selecting unit” selects the dialogue information from the first learning dialogue information storage unit based on the acquired learning situation information and the held user dialogue information selection rule. In the case where dialogue information is stored in the first learning dialogue information storage unit for each difference in the dialogue form, it is possible to select the dialogue information matching the dialogue form and the dialogue content selected in the user-by-user dialogue information selection rule Become. In the first learning dialogue information storage unit, when the dialogue information is not accumulated for each difference of the dialogue type, and the dialogue information is accumulated for each meaning of the contents of the dialogue regardless of the dialogue type Based on the dialogue content specified by the information selection rule, select the basic dialogue information from the first learning dialogue information storage unit, and select the selected dialogue information into the dialogue type that matches the dialogue style specified in the user-specific dialogue information selection rule Convert. In this case, the basic dialogue information may indicate not a word itself but a group of words. In this case, identification information is given to the dialogue information expressing the feeling of gratitude, and this is selected, and then “thank you”, “thank you”, “thank you”, “big chance”, “thank you” It is configured to select one of expressions such as “Thank you”. That is, in this manner, the dialog information that is the basis is selected from the dialog information storage unit according to the dialog content specified by the user-specific information selection rule, and the selected dialog information is specified in the user-specific dialog information selection rule Processing is performed to convert into an interactive form that conforms to. The above work is the selection of dialogue information. This selection is configured to be made instantaneously by the computer. Specifically, when the input from the user is accepted via the SNS, the user has a speed for displaying a reply on the screen without giving a margin for closing the screen of the SNS. As an example, the average is about 1 to 3 seconds or less. However, in the case of a flow of conversation information that may be a problem for ordinary people, the conversation information may be output with more time left.
　＜実施形態１２　第一学習対話情報出力部＞
　「第一学習対話情報出力部」は、選択した対話情報をユーザ識別情報で識別されるユーザに対して前記ＳＮＳを介して出力する。前述のように対話情報出力部が対話情報を出力する速度は、必要な場合にはユーザの入力に即座に応答する速度である。ユーザがＳＮＳ画面を閉じてしまうと、システム側からの発信が既読にならないで放置されるリスクが高まるからである。なお、常に即座に応答する必要はなく、時間をおいて出力される種の発信があってもよい。例えばアドバイスの結果を聞くような会話の場合である。出力するのは、ユーザの携帯端末、デスクトップパソコンなどの固定端末などである。出力するＳＮＳは、本件対話式学習促進システム専用のアプリケーションでもよいし、ユーザが日常的に利用している対話式学習促進システム専用ではない、別のシステムによって管理提供されているＳＮＳサービスであってもよい。 Embodiment 12 First Learning Dialogue Information Output Unit
The “first learning dialogue information output unit” outputs the selected dialogue information to the user identified by the user identification information via the SNS. As described above, the speed at which the dialogue information output unit outputs the dialogue information is the speed at which the user's input is promptly responded to if necessary. If the user closes the SNS screen, the risk of leaving from the system side not being read is increased. In addition, it is not necessary to always respond immediately, and there may be a kind of transmission that is output with time. For example, in the case of a conversation in which the result of the advice is heard. The output is a user's portable terminal, a fixed terminal such as a desktop personal computer, or the like. The SNS to be output may be an application dedicated to the interactive learning promotion system, or an SNS service managed and provided by another system that is not exclusively for the interactive learning promotion system that the user routinely uses. It is also good.
出力の形式は、文字、イラスト、音声、画像、動画等、情報をユーザに伝達できる手法であれば形式は限定されない。あたかも生身の人間と話しているように感じさせるためには、専用アプリケーションを用いるよりも、日常的に生身の人間とのやり取りで利用しているＳＮＳサービスを利用するほうが、他の人のやり取りの中に混じって自然に本件対話式学習促進システムからの学習促進アドバイス、学習習慣定着アドバイスが表示されることになり、効果的である。効果的とは、本件対話式学習促進システムからのアドバイスが、日常的に自然に目につくので、システム（無機的なコンピュータやサーバ）と対話するという意識を強く抱かせないという点が効果的となる理由である。本件対話式学習促進システムからの出力は、出力先のＳＮＳサービスを利用している例えばスマートフォンのステータスバーや、アイコンに未読通知をしないような設定にしたり、チャットヘッドが出現することができないように構成されていると、上記効果を確実化することができるので、より効果的となる。逆に、チャットヘッドなどはスマートフォンなどで直ちに目に付くので本システムとの距離感が小さくなり好ましい。なお、出力される対話情報は、質問形式を含むもの、アドバイスを含むもの、挨拶、擬音、など、内容も形式も制限されない。 The format of the output is not limited as long as the information can be transmitted to the user, such as characters, illustrations, sounds, images, and moving pictures. In order to make you feel as if you are talking to a real person, it is better to use the SNS service that you use on a daily basis with real people, rather than using dedicated applications. It will be effective, as it will naturally display learning promotion advice and learning habits fixing advice from the interactive learning promotion system, naturally. Effective is that the advice from the interactive learning promotion system is found naturally on a daily basis, so it is effective not to have a strong sense of interacting with the system (inorganic computer or server). It is the reason to become. The output from the interactive learning promotion system is set so as not to give unread notification to the status bar or icon of the smartphone using the SNS service of the output destination, for example, or the chat head can not appear. If configured, it is more effective because the above effect can be ensured. On the contrary, since a chat head etc. is immediately visible with a smart phone etc., a feeling of distance with this system becomes small, and is preferable. Note that the dialogue information to be output includes ones including a question form, ones including an advice, a greeting, an anomalous sound, etc., and neither the content nor the form is limited.
　さらに、いつも同じ方法による出力形式ではなく、文字、イラスト、音声、画像、動画等、コンピュータグラフィックスによって生成されるアバターなど複数の出力方法を組み合わせることが、生身の人間とのやりとりに近似して、より効果的となる。したがって、出力インターフェイスに文字として対話情報として出力したり記録された音声データを対話情報として出力するだけでなく、自動音声通話機能を用いたリアルタイムでの対話情報の出力（発話）と応答対話情報の取得が行われてもよい。さらに、ある人が音声通話を用いて学習塾等にアクセスをした場合に、その人の音声通話を本対話式学習促進システムを利用する通信機器によって受信した場合に、出力側に本対話式学習促進システムの利用登録がなかった場合でも、直ちに電話番号等を用いてユーザ識別情報を生成保持し、その人物をゲストユーザとして音声通話を受信する対話式購入促進システムに認識させることで、ゲストユーザに対して本音声対話式学習促進システムを介した対話情報の音声による出力が可能となるような構成にすることも可能である。この場合、ゲストユーザは遠隔地にある対話式学習促進システムに対して音声通話を通じてユーザ登録を行っているにすぎない。ユーザ端末自体が本対話式学習促進システムを起動させている場合と区別するためにゲストユーザとして定義しているが、一度目の音声通話の時点でそのユーザを発信電話番号、音声、氏名、会員ナンバー、などのユーザ属性と関連付けて識別番号を与えておくことで、次回以降の音声通話において、過去の音声通話によって蓄積されたゲストユーザの属性情報（好み、話し方、間の取り方、趣味・思考等）を反映させた対話情報を出力することがか可能である。この場合の対話情報の出力は、音声電話を受信しているユーザが所持していないＳＮＳ利用可能端末で生成され、音声として出力されたものが電話を通じてゲストユーザに届けられることになることから、ＳＮＳを介した対話情報の出力といえる。 Furthermore, combining multiple output methods such as characters, illustrations, sounds, images, moving images, avatars generated by computer graphics such as characters, illustrations, sounds, images, moving images, etc. instead of always using the same method is similar to interaction with a real human being. Become more effective. Therefore, in addition to outputting voice data output as dialog information as characters and output as characters on the output interface as dialog information, the output (utterance) of dialog information in real time using the automatic voice communication function and the response dialog information Acquisition may be performed. Furthermore, when a person accesses a learning habit using voice communication, when the voice communication of the person is received by a communication device using the interactive learning promotion system, the interactive learning on the output side Even if there is no usage registration of the promotion system, the guest user can immediately generate and hold user identification information using a telephone number etc., and make the interactive purchase promotion system that recognizes the person as a guest user and recognize the voice call. On the other hand, it is also possible to make it possible to output voice of dialogue information through the present voice interactive learning promotion system. In this case, the guest user is merely performing user registration through a voice call to the interactive learning promotion system at the remote location. The user terminal is defined as a guest user to distinguish it from the case where the interactive learning promotion system is activated, but at the time of the first voice call, the user is called an outgoing telephone number, voice, name, member By assigning identification numbers in association with user attributes such as numbers, etc., the guest user's attribute information (preferences, how to talk, how to make sense, hobbies, etc.) accumulated in the past voice calls in the next and subsequent voice calls. It is possible to output dialogue information in which thinking etc. is reflected. In this case, the output of the dialogue information is generated by the SNS enabled terminal which is not possessed by the user receiving the voice telephone, and the output as the voice is delivered to the guest user through the telephone. It can be said that it is an output of dialogue information via SNS.
　対話情報のＳＮＳを介した出力は、ＳＮＳに参加しているユーザの友達等の発言としての出力である。従って、できるだけユーザに対してユニークに見える友達等としての会話であることが好ましいことから、多数の名前を利用してできるだけユーザ間で同じ名前が重ならないようにすることが好ましい。あるいは名前は最初のユーザ登録時に自由に設定できるようにしてもよい。また、会話選択に利用される要素を決定する属性をユーザ登録時に自由に設定できるようにしてもよい。例えば、システムである友達等の性別、年齢、性格、アバター、服装、生活リズム、趣味、などである。 The output of the dialogue information through the SNS is an output as a speech of a friend or the like of the user participating in the SNS. Therefore, since it is preferable to have a conversation as a friend or the like that looks as unique as possible to the user, it is preferable to use multiple names so that the same name does not overlap between users as much as possible. Alternatively, the name may be freely set at the time of initial user registration. Further, an attribute for determining an element used for conversation selection may be freely set at the time of user registration. For example, gender, age, personality, avatar, clothes, life rhythm, hobbies, etc. of friends who are the system.
　また、対話情報の出力は、本対話式学習促進システムが装う一人のキャラクターのみでなく、複数のキャラクターによって対話情報を出力するように構成してもよい。例えば一人は叱咤激励役、他の一人は慰め役など、キャラクターを分けて効果的な影響をユーザに与えるように構成することもできる。キャラクターの設定は、取得した外部情報、学習履歴情報、学習効果情報、などによって選択されるように構成することもできる。出力すべき対話情報の内容（属性）に応じて適切なキャラクターが選択されるように構成できる。従って、対話情報に属性が付与されて第一学習対話情報蓄積部に蓄積され、第一学習対話情報出力部でその属性情報に応じたキャラクターが選択されてＳＮＳ上の発言を構成するように仕組むとよい。そして、選択される対話情報には、ユーザとシステムである複数のキャラクターである友達等との間の対話のみならず、システムである友達等（キャラクター）間での対話がなされてもよい。この場合にはユーザは友達等の間で交わされる対話情報から学習促進、学習習慣定着のための動機付け等を得られるようになされる。また、ユーザ端末の位置情報システムなどと連携して、位置情報に応じてシステムである友達等の発言を切換えるように構成してもよい。例えば、大阪に出かけたときには大阪弁の友達等が現れ、九州に出かけたときには九州弁の友達等が現れるといった具合である。この際には大阪の友達等は、前回大阪に出かけたときから久しぶりに会った、というようなシチュエーション（面会タイミングシチュエーション）を前提として会話を選択するように構成してもよい。例えば、遠方地に出かけた時にそこに住んでいる友人という設定のシステム上の友達がＳＮＳの会話に現れる場合には、前回出かけたときから久しぶりに会ったというシチュエーションにおいて、「前回あった時は中学だっけ？高校はどんな感じ？」という会話が考えらえる。また、複数のユーザにわたって共通のシステムである友達等を設定する場合には、「まりちゃん、古典のテストで居残り補修になったって( ;∀;)うちら今回平気だったけど、ギリギリじゃん？お互いそろそろ危ないかもねω」というような比較会話や、「織田さんと徳川さんが豊臣さんのお家で勉強会するらしいよ。あなたも混ぜてもらったら？」のような勧誘会話が考えられる。 Further, the output of the dialogue information may be configured to output the dialogue information not only by a single character worn by the interactive learning promotion system but also by a plurality of characters. For example, one character may be a cheering player, and the other may be a comforter, so that characters can be divided to effectively affect the user. The setting of the character can also be configured to be selected based on the acquired external information, learning history information, learning effect information, and the like. An appropriate character can be selected according to the content (attribute) of the dialogue information to be output. Therefore, an attribute is added to the dialogue information and stored in the first learning dialogue information storage unit, and a character corresponding to the attribute information is selected in the first learning dialogue information output unit so as to compose an utterance on the SNS. It is good. Then, in the selected dialogue information, not only the dialogue between the user and the friends who are the plurality of characters that are the system, but also the dialogue between the friends who are the system (characters) may be performed. In this case, the user can obtain learning promotion, motivation for establishing learning habits, and the like from dialogue information exchanged between friends and the like. Further, in cooperation with the position information system of the user terminal or the like, the speech of a friend or the like who is the system may be switched according to the position information. For example, when going out to Osaka, friends of Osaka Ben appear, and when going out to Kyushu, friends of Kyushu Ben appear. In this case, a friend or the like in Osaka may be configured to select a conversation on the assumption that a situation (a meeting timing situation) where he has met for a long time since he went to Osaka last time. For example, when a friend on the system of the setting of a friend living there appears in a SNS conversation when going out to a distant place, in the situation that I met after a long time since I went out last time, You can think of the following conversation: "What is high school like?" In addition, when setting up a friend who is a common system across multiple users, "Mr. CHAN, the classic test has left me for repair (; ∀;), but we were fine this time, but the last minute? It may be possible to start a comparative conversation such as “It might be dangerous, ω” or an invited conversation such as “Oda and Tokugawa are going to study at Toyotomi's house.
　なお、友達等は必ずしもアバター（キャラクター）が人である必要はなく、哺乳類、魚、虫、物、などいろいろ設定してよい。さらに静止画に限定されず動画で表示されてもよい。さらにディスプレイ上に表示されるものに限定されず、ロボット、ＡＩスピーカー、プロジェクションなどが友達役であってもよい。また、アバターは設定に応じて写真、動画、ピクチャーなどをユーザに送信するように設定してもよい。例えば食事の写真、風景写真、理想的な体の写真、運動の仕方を説明する動画、などである。さらに、利用を進める器具、サプリメント、などの情報を送ってきてもよい。さらに、システムである友達等は、アクシデントに見舞われる、人生の階段を上る、と言うような時間経過に応じて出来事を設定した前述のアバタースケジュールを用いて臨場感、温かみ、人間味を出してもよい。 In addition, a friend etc. do not necessarily need to be an avatar (character) person, and may set various things, such as a mammal, a fish, an insect, a thing, etc. Furthermore, the present invention is not limited to a still image and may be displayed as a moving image. Furthermore, it is not limited to what is displayed on the display, and a robot, an AI speaker, a projection, and the like may be friends. Further, the avatar may be set to transmit a picture, a moving picture, a picture or the like to the user according to the setting. For example, pictures of meals, landscapes, pictures of an ideal body, videos explaining how to exercise, etc. In addition, you may send information such as equipment, supplements, etc., to promote use. Furthermore, even if friends who are the system experience the atmosphere, warmth and humanity using the avatar schedule described above, which set events according to the passage of time, such as going up the stairs of life, to be experienced as an accident. Good.
　＜実施形態１２　ハードウェア構成＞
　図３７は実施形態１２のハードウェア構成を示す図である。この図にあるように本発明は、基本的に汎用コンピュータとプログラム、各種デバイスで構成することが可能である。コンピュータの動作は基本的に不揮発性メモリに記録されているプログラムやデータを主メモリにロードして、主メモリとＣＰＵと各種デバイスとで処理を実行していく形態をとる。デバイスとの通信は、バス線と繋がったインターフェイスを介して行われる。この図にあるように実施形態１２のハードウェアを構成するプログラムとして、「第一学習ユーザ識別情報保持プログラム」は、ユーザ識別情報を保持する。「第一学習ＳＮＳユーザ関連情報取得プログラム」は、ＳＮＳユーザ関連情報を取得する。これは、ＳＮＳとのインターフェイスプログラムを介して行われる。「第一学習履歴情報取得プログラム」は、ユーザが利用する外部の学習システムからユーザの学習履歴情報を取得する。「第一学習効果情報取得プログラム」は、ユーザが利用する外部の学習システムからユーザの学習効果情報を取得する。「第一学習分析ルール保持プログラム」は、学習分析ルールを保持する。「第一学習状況情報分析取得プログラム」は、学習分析ルールに基づいた分析に基づいて外部情報と学習履歴情報と学習効果情報とから学習状況情報を取得する。「第一学習対話情報蓄積プログラム」は、対話情報を蓄積する。「第一学習ユーザ別対話情報選択ルール保持プログラム」は、ユーザ別に対話情報選択ルールを保持する。「第一学習対話情報選択プログラム」は、取得した学習状況情報と保持されているユーザ別対話情報選択ルールとに基づいて蓄積されている対話情報の中から適切な対話情報を選択する。「第一学習対話情報出力プログラム」は、選択された対話情報を出力する。プログラムのより詳細な動作は各構成の説明で記載される動作を実現するものであり詳細はそちらを参照のこと。これら不揮発性メモリからメインメモリにコピーされた一連のプログラムの実行命令に基づいてこれらのプログラムが順次又は常時実行される。なお、データとしては、ユーザ識別情報（場合によりこれに関連付けられるユーザ属性情報）、外部情報（ＳＮＳユーザ関連情報を含む）、学習履歴情報、学習効果情報、学習分析ルール、学習状況情報、対話情報、ユーザ別対話情報選択ルール、選択した対話情報、図示しない通信など各種の設定情報等が不揮発性メモリに保持され、主メモリにロードされ、一連のプログラム実行に際して参照され、利用される。 Embodiment 12 Hardware Configuration
FIG. 37 is a diagram showing a hardware configuration of the twelfth embodiment. As shown in this figure, the present invention can basically be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. As a program constituting the hardware of the twelfth embodiment as shown in this figure, the "first learning user identification information holding program" holds user identification information. The “first learning SNS user related information acquisition program” acquires SNS user related information. This is done via an interface program with the SNS. The “first learning history information acquisition program” acquires learning history information of the user from an external learning system used by the user. The “first learning effect information acquisition program” acquires learning effect information of the user from an external learning system used by the user. The “first learning analysis rule holding program” holds learning analysis rules. The “first learning situation information analysis acquisition program” acquires learning situation information from external information, learning history information, and learning effect information based on analysis based on learning analysis rules. The "first learning dialogue information accumulation program" accumulates dialogue information. The “first learning user-specific dialogue information selection rule holding program” holds dialogue information selection rules for each user. The “first learning dialogue information selection program” selects appropriate dialogue information from among the dialogue information accumulated based on the acquired learning situation information and the held user dialogue information selection rule. The "first learning dialogue information output program" outputs the selected dialogue information. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory. As data, user identification information (user attribute information associated with it in some cases), external information (including SNS user related information), learning history information, learning effect information, learning analysis rules, learning status information, dialogue information The user-by-user dialogue information selection rule, selected dialogue information, various setting information such as communication not shown, etc. are held in the non-volatile memory, loaded into the main memory, referred to and used in executing a series of programs.
　＜実施形態１２　処理の流れ＞
　　図３８は、実施形態１２の処理の流れの一例を示す図である。この図に示すように、ユーザ識別情報を保持する第一学習ユーザ識別情報保持ステップ（３８０１）、ユーザのＳＮＳ関連情報を取得する第一学習ＳＮＳユーザ関連情報取得ステップ（３８０２）、ユーザが利用する外部の学習システムからユーザの学習履歴情報を取得する第一学習履歴情報取得ステップ（３８０３）、ユーザが利用する外部の学習システムからユーザの学習効果情報を取得する第一学習効果情報取得ステップ（３８０４）、学習分析ルールを保持する第一学習分析ルール保持ステップ（３８０５）、学習分析ルールに基づいた分析により学習状況情報を取得する第一学習状況情報分析取得ステップ（３８０６）、対話情報を蓄積する第一学習対話情報蓄積ステップ（３８０７）、ユーザ別対話情報選択ルールを保持する第一学習ユーザ別対話情報選択ルール保持ステップ（３８０８）、蓄積された対話情報の中から、学習状況情報とユーザ別対話情報選択ルールに基づいて出力する対話情報を選択する第一学習対話情報選択ステップ（３８０９）、選択した対話情報を出力する第一学習対話情報出力ステップ（３８１０）と、からなる。なお、上記の「保持ステップ」「蓄積ステップ」は予め保持、蓄積されている状態である場合には処理手順から除外される（本明細書の全体（請求項１から請求項３９）を通じて同じ）。 <The flow of the twelfth embodiment>
FIG. 38 is a diagram illustrating an example of a process flow of the twelfth embodiment. As shown in this figure, the first learning user identification information holding step (3801) for holding user identification information, the first learning SNS user related information acquisition step (3802) for acquiring the SNS related information of the user, the user uses The first learning history information acquisition step (3803) of acquiring learning history information of the user from the external learning system, and the first learning effect information acquiring step of acquiring learning effect information of the user from the external learning system used by the user (3804) A first learning analysis rule holding step (3805) for holding learning analysis rules, a first learning situation information analysis acquiring step (3806) for acquiring learning situation information by analysis based on learning analysis rules, and storing dialogue information A first learning dialogue information storage step (3807), holding a user-by-user dialogue information selection rule Learning user-specific dialogue information selection rule holding step (3808), a first learning dialogue information selecting step of selecting the dialogue information to be output based on the learning situation information and the user-specific dialogue information selection rule from the accumulated dialogue information 3809), a first learning dialogue information output step (3810) of outputting the selected dialogue information. Note that the above "holding step" and "accumulation step" are excluded from the processing procedure when they are in a state of being held and accumulated in advance (the same applies throughout the present specification). .
＜実施形態１３＞
＜実施形態１３　発明の概要＞
本実施形態における対話式学習促進システムは、ＳＮＳでのユーザの発言情報や閲覧情報等の外部情報に加えて、学習システムによって取得される、ユーザの学習履歴、学習効果、カリキュラムの学習に関連する情報をも取得して分析に利用することで、ユーザの学習状況情報（単に成績に注視することなく、学習意欲、学習姿勢、自発性、継続性といったユーザの内向的な要素を含む）を取得し、ユーザの現在の学習状況にあったアドバイス（対話情報の選択）を行うことで、ユーザの学習を促進させる。 Embodiment 13
<Summary of the thirteenth embodiment>
The interactive learning promotion system according to the present embodiment is related to learning of the user's learning history, learning effect, and curriculum acquired by the learning system in addition to external information such as the user's speech information and browsing information in SNS. By acquiring information and using it for analysis, it is possible to acquire user's learning situation information (including the user's introverted elements such as learning motivation, learning posture, spontaneity and continuity without simply focusing on the score) Then, the user's learning is promoted by giving advice (selection of dialogue information) according to the user's current learning situation.
　＜実施形態１３　発明の構成＞
　図３９は、実施形態１３の対話式学習促進システムの構成の一例を示す図である。図３９に示すように、実施形態１３の対話式学習促進システムは、第二学習ユーザ識別情報保持部（３９０１）、第二学習ＳＮＳユーザ関連情報取得部（３９０２）、第二学習履歴情報取得部（３９０３）、第二学習効果情報取得部（３９０４）、第二学習カリキュラム情報取得部（３９０５）、第二学習分析ルール保持部（３９０６）、第二学習状況情報分析取得部（３９０７）、第二学習対話情報蓄積部（３９０８）、第二学習ユーザ別対話情報選択ルール保持部（３９０９）、第二学習対話情報選択部（３９１０）、第二学習対話情報出力部（３９１１）と、からなる。 <Embodiment 13: Configuration of the Invention>
FIG. 39 is a diagram showing an example of the configuration of the interactive learning promotion system of the thirteenth embodiment. As shown in FIG. 39, the interactive learning promotion system of the embodiment 13 includes a second learning user identification information holding unit (3901), a second learning SNS user related information acquiring unit (3902), and a second learning history information acquiring unit. (3903), second learning effect information acquisition unit (3904), second learning curriculum information acquisition unit (3905), second learning analysis rule holding unit (3906), second learning status information analysis acquisition unit (3907), second The second learning dialogue information storage unit (3908), the second learning user-specific dialogue information selection rule holding unit (3909), the second learning dialogue information selecting unit (3910), and the second learning dialogue information output unit (3911) .
＜実施形態１３　構成の説明＞
＜実施形態１３　実施形態１２と共通の働きをする実施形態１３の構成についての説明＞
　「第二学習ユーザ識別情報保持部」は、実施形態１２に示した第一学習ユーザ識別情報と、「第二学習ＳＮＳユーザ関連情報所得部」は実施形態１２に示した第一学習ＳＮＳユーザ関連情報取得部と、「第二学習履歴情報取得部」は実施形態１２に示した第一学習履歴情報取得部と、「第二学習効果情報取得部」は実施形態１２に示した第一学習効果情報取得部と、「第二学習分析ルール保持部」は実施形態１２で示した第一学習分析ルール保持部と、「第二学習状況情報分析取得部」は実施形態１２に示した第一学習状況情報分析取得部と、「第二学習対話情報蓄積部」は実施形態１２に示した第一学習対話情報蓄積部と、「第二学習ユーザ別対話情報選択ルール保持部」は実施形態１２に示した第一学習ユーザ別対話情報選択ルール保持部と、「第二学習対話情報選択部」は実施形態１２に示した第一学習対話情報選択部と、「第二学習対話情報出力部」は実施形態１２に示した第一学習対話情報出力部と、それぞれ働きが同様であり、既に説明済みである。 <Description of Configuration of Thirteenth Embodiment>
<Embodiment 13 Description of Configuration of Embodiment 13 Common to the Embodiment 12>
The “second learning user identification information holding unit” is the first learning user identification information described in the twelfth embodiment, and the “second learning SNS user related information acquiring unit” is the first learning SNS user association described in the twelfth embodiment. The information acquisition unit and the “second learning history information acquisition unit” are the first learning history information acquisition unit shown in the twelfth embodiment, and the “second learning effect information acquisition unit” is the first learning effect shown in the twelfth embodiment The information acquisition unit, the “second learning analysis rule holding unit” is the first learning analysis rule holding unit described in the twelfth embodiment, and the “second learning status information analysis acquiring unit” is the first learning described in the twelfth embodiment The status information analysis acquisition unit and the “second learning dialog information storage unit” are the first learning dialog information storage unit shown in the twelfth embodiment, and the “second learning user's dialog information selection rule holding unit” is the twelfth embodiment. Holding the first learning user-specific dialogue information selection rule shown The “second learning dialogue information selecting unit” is the first learning dialogue information selecting unit shown in the twelfth embodiment, and the “second learning dialogue information output unit” is the first learning dialogue information output unit shown in the twelfth embodiment The functions are similar to each other and have already been described.
＜実施形態１３　第二学習カリキュラム情報取得部＞
　「第二学習カリキュラム情報取得部」は、ユーザ識別情報と関連付けて、ユーザが利用する学習システムからその学習システムで行われるカリキュラム情報を取得する。「カリキュラム」とは学習指導の計画を示す。カリキュラム情報としては、学習システムを提供している学習システムの管理者が提供するカリキュラムに加え、ユーザの通学している学校のカリキュラム情報、ユーザが通っている学習塾のカリキュラム情報等も含めることが出来る。カリキュラム情報を本対話式学習促進システムが取得することにより、本対話式学習促進システムが出力する対話情報に含まれる学習促進アドバイスの内容にカリキュラム情報に基づいて選択される対話が反映されることになる。すなわち、ユーザが到達しているべき、ないしは将来的に到達すべき学力目標、能力目標が明確になり、より具体的な学習促進等に役立つ対話情報の選択を行うことが可能となる。さらに、カリキュラム情報と学習効果情報や学習履歴情報と比較することで学習効果情報や学習状況情報の精度をより高めることができる。カリキュラム情報は学習単位の集合体の形で取得できるように構成することが好ましい。学習効果情報や学習履歴情報を学習単位で取得することにより、比較分析が１：１の関係で可能となるからである。 Embodiment 13 Second Learning Curriculum Information Acquisition Unit
The “second learning curriculum information acquisition unit” acquires curriculum information performed in the learning system from the learning system used by the user in association with the user identification information. "Curriculum" indicates a plan for learning instruction. As curriculum information, in addition to the curriculum provided by the administrator of the learning system providing the learning system, the curriculum information of the school to which the user is attending school, the curriculum information of the learning habits attended by the user, etc. It can. By the curriculum information being acquired by the interactive learning promotion system, the contents of the learning promotion advice included in the dialogue information output by the interactive learning promotion system are reflected in the dialogue selected based on the curriculum information. Become. That is, academic goals and ability goals to be reached by the user or to be achieved in the future become clear, and it becomes possible to select dialogue information useful for more specific learning promotion and the like. Furthermore, the accuracy of the learning effect information and the learning situation information can be further enhanced by comparing the curriculum information with the learning effect information and the learning history information. Curriculum information is preferably configured to be acquired in the form of a collection of learning units. By acquiring learning effect information and learning history information on a learning basis, comparative analysis becomes possible with a 1: 1 relationship.
　＜実施形態１３　ハードウェア構成＞
　図４０は実施形態１３のハードウェア構成を示す図である。この図にあるように本発明は、基本的に汎用コンピュータとプログラム、各種デバイスで構成することが可能である。コンピュータの動作は基本的に不揮発性メモリに記録されているプログラムやデータを主メモリにロードして、主メモリとＣＰＵと各種デバイスとで処理を実行していく形態をとる。デバイスとの通信は、バス線と繋がったインターフェイスを介して行われる。この図にあるように実施形態１３のハードウェアを構成するプログラムのうち、実施形態１２のプログラムと共通の動作をするプログラムについては説明を省略する。本実施形態で新たに加わる、「第二学習カリキュラム情報取得プログラム」は、ユーザが利用する外部の学習システム等からカリキュラム情報を取得する。「第二学習状況情報分析取得プログラム」は、学習分析ルールに基づいた分析に基づいて外部情報と学習履歴情報と学習効果情報とカリキュラム情報とから学習状況情報を取得する。プログラムのより詳細な動作は各構成の説明で記載される動作を実現するものであり詳細はそちらを参照のこと。これら不揮発性メモリからメインメモリにコピーされた一連のプログラムの実行命令に基づいてこれらのプログラムが順次又は常時実行される。なお、データとしては、ユーザ識別情報（場合によりこれに関連付けられるユーザ属性情報）、外部情報（ＳＮＳユーザ関連情報を含む）、学習履歴情報、学習効果情報、カリキュラム情報、学習分析ルール、学習状況情報、対話情報、ユーザ別対話情報選択ルール、選択した対話情報、図示しない通信など各種の設定情報等が不揮発性メモリに保持され、主メモリにロードされ、一連のプログラム実行に際して参照され、利用される。 Embodiment 13 Hardware Configuration
FIG. 40 shows a hardware configuration of the thirteenth embodiment. As shown in this figure, the present invention can basically be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. Among the programs constituting the hardware of the thirteenth embodiment as shown in this figure, the description of the programs which operate in common with the program of the twelfth embodiment will be omitted. The “second learning curriculum information acquisition program” newly added in this embodiment acquires curriculum information from an external learning system or the like used by the user. The “second learning situation information analysis acquisition program” acquires learning situation information from external information, learning history information, learning effect information, and curriculum information based on analysis based on learning analysis rules. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory. As data, user identification information (user attribute information sometimes associated with it), external information (including SNS user related information), learning history information, learning effect information, curriculum information, learning analysis rules, learning situation information Dialog information, user-specific dialog information selection rules, selected dialog information, various setting information such as communication not shown, etc. are stored in non-volatile memory, loaded into main memory, referenced and used in executing a series of programs .
　＜実施形態１３　処理の流れ＞
　図４１は、実施形態１３の処理の流れの一例を示す図である。この図に示すように、第二学習ユーザ識別情報保持ステップ（４１０１）、第二学習ＳＮＳユーザ関連情報取得ステップ（４１０２）、第二学習履歴情報取得ステップ（４１０３）、第二学習効果情報取得ステップ（４１０４）、学習システムからカリキュラム情報を取得する第二カリキュラム情報取得ステップ（４１０５）、第二学習分析ルール保持ステップ（４１０６）、第二学習状況情報分析取得ステップ（４１０７）、第二学習対話情報蓄積ステップ（４１０８）、第二学習ユーザ別対話情報選択ルール保持ステップ（４１０９）、第二学習対話情報選択ステップ（４１１０）、第二学習対話情報出力ステップ（４１１１）と、からなる。なお、実施形態１２と共通の働きをするステップについては説明を省略して、本実施形態の特徴的なステップについてのみ説明をした。 <The flow of the thirteenth embodiment>
FIG. 41 is a diagram illustrating an example of a process flow of the thirteenth embodiment. As shown in this figure, the second learning user identification information holding step (4101), the second learning SNS user related information acquisition step (4102), the second learning history information acquisition step (4103), the second learning effect information acquisition step (4104), a second curriculum information acquisition step (4105) of acquiring curriculum information from a learning system, a second learning analysis rule holding step (4106), a second learning status information analysis acquisition step (4107), a second learning dialogue information The storing step (4108), the second learning user-specific dialogue information selecting rule holding step (4109), the second learning dialogue information selecting step (4110), and the second learning dialogue information output step (4111). The description of steps having the same function as in the twelfth embodiment has been omitted, and only the characteristic steps of the present embodiment have been described.
　＜実施形態１４＞
　＜実施形態１４　発明の概要＞
　実施形態１４の対話式学習促進システムは、独立の請求項であはるが、実施形態１３の特徴に加えて、外部情報が外部の学習システム関係者の発言（コンピュータによって生成された発言を含む）を含むことを特徴とする。 Fourteenth Embodiment
<Embodiment 14 Outline of the Invention>
The interactive learning promotion system of the embodiment 14 is an independent claim, but in addition to the feature of the embodiment 13, the external information includes the speech of an external learning system participant (a speech generated by a computer is included) It is characterized by including.
　＜実施形態１４　発明の構成＞
　図４２は、実施形態１４の対話式学習促進システムの構成の一例を示す図である。図４２に示すように、実施形態１４の対話式学習促進システムは、第三学習ユーザ識別情報保持部（４２０１）、第三学習ＳＮＳユーザ関連情報取得部（４２０２）、第三学習履歴情報取得部（４２０３）、第三学習効果情報取得部（４２０４）、第三学習カリキュラム情報取得部（４２０５）、第三学習分析ルール保持部（４２０６）、第三学習状況情報分析取得部（４２０７）、第三学習対話情報蓄積部（４２０８）、第三学習ユーザ別対話情報選択ルール保持部（４２０９）、第三学習対話情報選択部（４２１０）、第三学習対話情報出力部（４２１１）と、からなる。 Embodiment 14 Configuration of the Invention
FIG. 42 is a diagram showing an example of the configuration of the interactive learning promotion system of the fourteenth embodiment. As shown in FIG. 42, the interactive learning promoting system of the fourteenth embodiment includes a third learning user identification information holding unit (4201), a third learning SNS user related information acquiring unit (4202), and a third learning history information acquiring unit. (4203), third learning effect information acquisition unit (4204), third learning curriculum information acquisition unit (4205), third learning analysis rule holding unit (4206), third learning status information analysis acquisition unit (4207), The third learning dialogue information storage unit (4208), the third learning user classified dialogue information selection rule holding unit (4209), the third learning dialogue information selecting unit (4210), and the third learning dialogue information output unit (4211) .
＜実施形態１４　構成の説明＞
＜実施形態１４　実施形態１２又は実施形態１３と同様の働きをする実施形態１４の構成について＞
　「第三学習ユーザ識別情報保持部」は実施形態１２に示した第一学習ユーザ識別情報と、「第三学習履歴情報取得部」は実施形態１２に示した第一学習履歴情報取得部と、「第三学習効果情報取得部」は実施形態１２に示した第一学習効果情報取得部と、「第三学習カリキュラム情報取得部」は実施形態１３に示した第二学習カリキュラム情報取得部と、「第三学習分析ルール保持部」は実施形態１２で示した第一学習分析ルール保持部と、「第三学習状況情報分析取得部」は実施形態１２に示した第一学習状況情報分析取得部と、「第三学習対話情報蓄積部」は実施形態１２に示した第一学習対話情報蓄積部と、第三学習ユーザ別対話情報選択ルール保持部」は実施形態１２に示した第一学習ユーザ別対話情報選択ルール保持部と、「第三学習対話情報選択部」は実施形態１２に示した第一学習対話情報選択部と、「第三学習対話情報出力部」は実施形態１２に示した第一学習対話情報出力部と、その働きが同様であり、既に説明済みである。なお、「第三学習カリキュラム情報取得部」は必ずしも必須でない。 <Description of the configuration of the fourteenth embodiment>
Embodiment 14 Regarding Configuration of Embodiment 14 Working Similar to Embodiment 12 or Embodiment 13
The “third learning user identification information holding unit” is the first learning user identification information shown in the twelfth embodiment, and the “third learning history information acquisition unit” is the first learning history information acquisition unit shown in the twelfth embodiment, The “third learning effect information acquiring unit” is the first learning effect information acquiring unit shown in the twelfth embodiment, and the “third learning curriculum information acquiring unit” is the second learning curriculum information acquiring unit shown in the thirteenth embodiment, The “third learning analysis rule holding unit” is the first learning analysis rule holding unit described in the twelfth embodiment, and the “third learning status information analysis acquiring unit” is the first learning condition information analysis acquiring unit described in the twelfth embodiment The third learning dialogue information storage unit is the first learning dialogue information storage unit described in the twelfth embodiment, and the third learning user classified dialogue information selection rule holding unit is the first learning user illustrated in the twelfth embodiment. Another dialogue information selection rule holding unit; The learning dialogue information selecting unit is the first learning dialogue information selecting unit shown in the twelfth embodiment, and the "third learning dialogue information output unit" is the first learning dialogue information output unit shown in the twelfth embodiment, and functions thereof It is similar and has already been described. Note that the "third learning curriculum information acquisition unit" is not necessarily essential.
＜実施形態１４　第三学習ＳＮＳユーザ関連情報取得部＞
　「第三学習ＳＮＳユーザ関連情報所得部」は、ユーザ識別情報と関連づけてユーザが利用するＳＮＳのユーザの発言、学習システム関係者の発言（コンピュータによって生成された発言を含む）を含むユーザ関連情報であるＳＮＳユーザ関連情報を外部情報として取得する。第三学習ＳＮＳユーザ関連情報取得部の働きは、基本的には実施形態１２に示した第一学習ＳＮＳユーザ関連情報取得部と同様であり、既に説明済みである。実施形態１４に特有の働きとして、学習システム関係者の発言（コンピュータによって生成された発言を含む）をＳＮＳユーザ関連情報として取得する。 <Embodiment 14 third learning SNS user related information acquisition unit>
The “third learning SNS user related information acquisition unit” is user related information including the speech of the user of the SNS used by the user in association with the user identification information and the speech of the person involved in the learning system (including the speech generated by the computer) The SNS user related information which is is acquired as external information. The operation of the third learning SNS user related information acquisition unit is basically the same as the first learning SNS user related information acquisition unit shown in the twelfth embodiment, and has already been described. As a function specific to the fourteenth embodiment, the speech (including the speech generated by the computer) of the learning system participant is acquired as SNS user related information.
　「学習システム関係者の発言」とは、外部の学習システムやＳＮＳ等を通じて講師やアドバイザー、採点者、添削者などがユーザに対して与えるアドバイスであったり、講師役のシステム（コンピュータ）あるいは講師の発言のことである。これらのアドバイスや発言は、外部の学習システム内で交わされるインターネット上のものでもよいし、電話や実際に対面して行われる音声によるものであってもよいし、紙によって行われるものであってもよい（ＯＣＲによる取得）。いずれの形態によるかは限定しないが、本対話式学習促進システム内に取り込むことが可能なようにデータ処理されたものが学習システム内に保存されていることが必要となる。外部の学習システム関係者の発言は、対話式学習促進システムからの発話に応じて返される発言であってもよい。この場合には、講師等は、ユーザを含むＳＮＳのグループメンバーであるか、外部の学習システムと本実施形態のシステムとの間で対話ができるインターフェイスが備えられているように構成されるのが好ましい。 “Speaking of a person involved in the learning system” is advice given to a user by a lecturer, an adviser, a grader, an examiner, etc. through an external learning system or SNS, or a system (computer) of a lecturer role or a lecturer It is a statement. These advices and remarks may be made on the Internet exchanged within an external learning system, may be made by telephone, by voice that is actually made face to face, or may be made by paper. Good (OCR acquisition). Although there is no limitation on which form it is, it is necessary that data processed so that it can be taken into the interactive learning promotion system be stored in the learning system. An utterance of an external learning system participant may be an utterance returned in response to an utterance from the interactive learning promotion system. In this case, the lecturer or the like is a group member of the SNS including the user, or an interface capable of interacting between an external learning system and the system of the present embodiment is provided. preferable.
　＜実施形態１４　ハードウェア構成＞
　図４３は実施形態１４のハードウェア構成を示す図である。この図にあるように本発明は、基本的に汎用コンピュータとプログラム、各種デバイスで構成することが可能である。コンピュータの動作は基本的に不揮発性メモリに記録されているプログラムやデータを主メモリにロードして、主メモリとＣＰＵと各種デバイスとで処理を実行していく形態をとる。デバイスとの通信は、バス線と繋がったインターフェイスを介して行われる。この図にあるように実施形態１３のハードウェアを構成するプログラムのうち、実施形態１２又は実施形態１３のプログラムと共通の動作をするプログラムについては説明を省略する。本実施形態で新たに加わる、「第三学習ＳＮＳユーザ関連情報取得プログラム」は、ＳＮＳユーザ関連情報としてＳＮＳのユーザの発言に加えて、学習システム関係者の発言も取得する。プログラムのより詳細な動作は各構成の説明で記載される動作を実現するものであり詳細はそちらを参照のこと。これら不揮発性メモリからメインメモリにコピーされた一連のプログラムの実行命令に基づいてこれらのプログラムが順次又は常時実行される。なお、データとしては、ユーザ識別情報（場合によりこれに関連付けられるユーザ属性情報）、外部情報（ＳＮＳユーザ関連情報（学習システム関係者の発言も含む）を含む）、学習履歴情報、学習効果情報、カリキュラム情報、学習分析ルール、学習状況情報、対話情報、ユーザ別対話情報選択ルール、選択した対話情報、図示しない通信など各種の設定情報等が不揮発性メモリに保持され、主メモリにロードされ、一連のプログラム実行に際して参照され、利用される。なお、第三カリキュラム情報取得プログラムは必須でない。 Embodiment 14 Hardware Configuration
FIG. 43 is a diagram showing a hardware configuration of the fourteenth embodiment. As shown in this figure, the present invention can basically be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. Among the programs constituting the hardware of the thirteenth embodiment as shown in this figure, the description of the programs which operate in common with the program of the twelfth embodiment or the thirteenth embodiment will be omitted. The “third learning SNS user related information acquisition program” newly added in the present embodiment acquires the speech of the learning system related person in addition to the speech of the SNS user as the SNS user related information. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory. As data, user identification information (user attribute information associated with it in some cases), external information (including SNS user related information (including a speech of a person involved in the learning system)), learning history information, learning effect information, Curriculum information, learning analysis rules, learning status information, dialogue information, dialogue information selection rules for each user, selected dialogue information, various setting information such as communication not shown, etc. are held in non-volatile memory and loaded to main memory. Is referred to and used when executing the program of The third curriculum information acquisition program is not essential.
　＜実施形態１４　処理の流れ＞
　図４４は、実施形態１４の処理の流れの一例を示す図である。この図に示すように、第三学習ユーザ識別情報保持ステップ（４４０１）、ユーザ識別情報と関連付けてユーザが利用するＳＮＳのユーザの発言、学習システム関係者の発言（コンピュータによって生成された発言を含む）を含むユーザ関連情報であるＳＮＳユーザ関連情報を外部情報として取得する第三学習ＳＮＳユーザ関連情報取得ステップ（４４０２）、第三学習履歴情報取得ステップ（４４０３）、第三学習効果情報取得ステップ（４４０４）、第三カリキュラム情報取得ステップ（４４０５）、第三学習分析ルール保持ステップ（４４０６）、第三学習状況情報分析取得ステップ（４４０７）、第三学習対話情報蓄積ステップ（４４０８）、第三学習ユーザ別対話情報選択ルール保持ステップ（４４０９）、第三学習対話情報選択ステップ（４４１０）、第三学習対話情報出力ステップ（４４１１）と、からなる。なお、実施形態１２又は実施形態１３と共通の働きをするステップについては説明を省略して、本実施形態の特徴的なステップについてのみ説明をした。なお、第三カリキュラム情報取得ステップは必須でない。 The flow of processing according to the fourteenth embodiment
FIG. 44 is a diagram illustrating an example of a process flow of the fourteenth embodiment. As shown in this figure, the third learning user identification information holding step (4401), the speech of the user of the SNS used by the user in association with the user identification information, the speech of the person concerned with the learning system (including the speech generated by the computer Third SNS user related information acquisition step (4402) for acquiring SNS user related information that is user related information including) as external information, third learning history information acquisition step (4403), third learning effect information acquisition step ( 4404), the third curriculum information acquisition step (4405), the third learning analysis rule holding step (4406), the third learning status information analysis acquisition step (4407), the third learning dialogue information storage step (4408), the third learning User-specific dialogue information selection rule holding step (4409), third learning dialogue information selection A step (4410), third learning interactive information output step (4411), consisting of. The description of steps having the same function as in the twelfth embodiment or the thirteenth embodiment is omitted, and only the characteristic steps of the present embodiment are described. The third curriculum information acquisition step is not essential.
　＜実施形態１５＞
　＜実施形態１５　発明の概要＞
　実施形態１５の対話式学習促進システムは、実施形態１２から実施形態１４のいずれか一に記載の特徴に加えて、学習効果情報に基づいて出力した対話情報の有効性を判断することを特徴とする。 The fifteenth embodiment
<Overview of the fifteenth embodiment>
The interactive learning promotion system of the fifteenth embodiment is characterized in that, in addition to the features described in any one of the twelfth to fourteenth embodiments, the effectiveness of the dialogue information outputted based on the learning effect information is judged. Do.
　＜実施形態１５　発明構成＞
　図４５は、実施形態１５の対話式学習促進システムの構成の一例を示す図である。図４５に示すように、実施形態１５の対話式学習促進システムは、第一学習ユーザ識別情報保持部（４５０１）、第一学習ＳＮＳユーザ関連情報取得部（４５０２）、第一学習履歴情報取得部（４５０３）、第一学習効果情報取得部（４５０４）、第一学習分析ルール保持部（４５０５）、第一学習状況情報分析取得部（４５０６）、第一学習対話情報蓄積部（４５０７）、第一学習ユーザ別対話情報選択ルール保持部（４５０８）、第一学習対話情報選択部（４５０９）、第一学習対話情報出力部（４５１０）、学習有効性判断ルール保持部（４５１１）、学習対話情報有効性判断部（４５１２）と、からなる。本実施形態では、実施形態１２から実施形態１４のいずれか一との共通の構成の説明は省略し、本実施形態に特有の構成についてのみ説明する。 <Fifteenth Embodiment Invention Configuration>
FIG. 45 is a diagram showing an example of the configuration of the interactive learning promotion system of the fifteenth embodiment. As shown in FIG. 45, the interactive learning promoting system of the fifteenth embodiment includes a first learning user identification information holding unit (4501), a first learning SNS user related information acquiring unit (4502), a first learning history information acquiring unit (4503), first learning effect information acquisition unit (4504), first learning analysis rule holding unit (4505), first learning status information analysis acquisition unit (4506), first learning dialogue information storage unit (4507), First learning dialogue information selection rule holding unit for each learning user (4508), first learning dialogue information selecting unit (4509), first learning dialogue information output unit (4510), learning effectiveness judgment rule holding section (4511), learning dialogue information And a validity judgment unit (4512). In the present embodiment, the description of the configuration common to any one of the twelfth to fourteenth embodiments will be omitted, and only the configuration unique to the present embodiment will be described.
＜実施形態１５　構成の説明＞
＜実施形態１５　学習有効性判断ルール保持部＞
　「学習有効性判断ルール保持部」は、出力された対話情報に対して取得された学習効果情報に基づいて対話情報が有効であったかを判断するルールである学習有効性判断ルールを保持する。対話情報の有効性はその対話情報と関係する学習効果情報とによって判断される。学習効果が対話情報の影響を受けて上がったと判断できる場合には、その対話情報は有効であったと判断でき、逆に下がったと判断できる場合にはその対話情報は逆効果であったと判断できる。もちろん中立で影響を与えなかったという判断があってもよい。対話情報の出力日をＡ日とした場合に、Ａ＋Ｎ日と、Ａ＋２Ｎ日のそれぞれで対話情報の有効性を判断するように構成してもよい。この有効性の判断回数は２回に限定される物でなく任意の複数回有効性を判断するように構成してもよい。対話情報がユーザに対して学習効果の向上というよい影響を与えるまでの日数は一義的に決定できるものでなく、またユーザの性格などの属性によっても変化しうるものだからである。また一つの学習単位に対して一般には複数の対話情報が出力されるのが一般であるので、複数の対話情報の中での有効性の判断は切り分けられなくてもよい。その場合には集合的な対話情報の塊の有効性を評価することとなる。一方後述するように複数のユーザに対して発せられた共通の対話情報についての有効性を判断する場合には複数の対話情報を構成する各対話情報の影響度を切り分けて有効性を判断することができる。 <Description of the configuration of the fifteenth embodiment>
<Fifteenth Embodiment Learning effectiveness determination rule holding unit>
The “learning effectiveness determination rule holding unit” holds a learning effectiveness determination rule which is a rule for determining whether the dialogue information is effective based on the learning effect information acquired with respect to the output dialogue information. The effectiveness of the dialogue information is judged by the dialogue information and the learning effect information related to the dialogue information. If it can be judged that the learning effect has been increased by the influence of the dialogue information, it can be judged that the dialogue information is valid, and if it can be judged that the learning information has fallen, the dialogue information is judged to be the opposite effect. Of course, it may be judged that it was neutral and had no influence. When the output date of the dialogue information is A day, the validity of the dialogue information may be determined on each of the A + N day and the A + 2N day. The number of judgments of the effectiveness is not limited to two, and may be configured to judge any plural times. This is because the number of days until the dialogue information gives the user a good influence on the improvement of the learning effect can not be uniquely determined, and can also change depending on the attribute such as the character of the user. Moreover, since it is general that a plurality of pieces of dialogue information is generally output to one learning unit, the determination of the validity among the plurality of pieces of dialogue information may not be separated. In that case, the effectiveness of the collective block of dialogue information will be evaluated. On the other hand, when judging the effectiveness of common dialogue information issued to a plurality of users as described later, the influence degree of each dialogue information constituting the plurality of dialogue information is separated to judge the validity. Can.
＜実施形態１５　学習対話情報有効性判断部＞
　「学習対話情報有効性判断部」は、出力された対話情報とこの対話情報に対して取得された学習効果情報と、学習有効性判断ルールとに基づいて対話情報の有効性を判断する。同一学習単位の古いある時点と新しい別の時点の学習効果を比較して、新しい時点での学習効果の方が向上していると認められる場合に、古い時点から新しい時点までの間で出力された対話情報が有効であったと判断される。新しい時点での学習効果の方が減退している場合には、古い時点から新しい時点までの間に出力された対話情報が有効ではなかったと判断される。また学習効果情報を単独で用いて対話情報が有効であったか判断することもできる。これは今までに履修していなかった全く新しい知識が身についたか判断するような場合や、母集団内での偏差値などで評価する場合である。さらにユーザの履歴でなく、他のユーザとの比較においていずれの対話情報が有効であったか判断することもできる。対話情報と学習効果情報は必ずしも１：１の関係でなくてもよい。一つの対話が複数の学習単位に対して有効に働く場合もあるからである。一方、複数の対話が一つの学習単位に対して有効に働く場合もあり、結局、対話情報と学習効果情報は多対多の関係になりうる。学習対話情報有効性判断部では、対話情報出力部から出力される対話情報が、ユーザに惹起させたいどのような行動を狙ったものかはユーザ別対話情報選択ルールに基づいて明らかであるので、どの対話情報とどの学習単位とを比較するかは明らかになっている。つまり、対話情報は、取得した学習状況情報と保持されているユーザ別対話情報選択ルールとに基づいて選択されるので、取得した学習状況が具体的にはどの学習単位を狙ったものであるかを示すこととなる。 <Fifteenth Embodiment Learning Dialogue Information Validity Determination Unit>
The “learning dialogue information validity judgment unit” judges the validity of the dialogue information based on the outputted dialogue information, the learning effect information acquired for the dialogue information, and the learning effectiveness judgment rule. Comparing the learning effect of one old learning point of the same learning unit with another new learning point, it is output from the old time point to the new time point if it is recognized that the learning effect at the new time point is improved. It is determined that the dialogue information is valid. If the learning effect at the new time point is diminished, it is determined that the dialogue information output from the old time point to the new time point is not valid. It is also possible to use learning effect information alone to determine whether the dialogue information is valid. This is the case in which it is judged whether completely new knowledge which has not been taken up to now has been acquired, or in the case of evaluation by the deviation value in the population. Furthermore, it is also possible to determine which interaction information is valid not in the history of the user but in comparison with other users. The dialogue information and the learning effect information may not necessarily have a 1: 1 relationship. This is because one dialogue may work effectively for a plurality of learning units. On the other hand, a plurality of dialogues may work effectively for one learning unit, and eventually, the dialogue information and the learning effect information may have a many-to-many relationship. In the learning dialogue information validity judgment unit, it is clear on the basis of the dialogue information selection rule for each user what kind of action the dialogue information outputted from the dialogue information output unit aims to cause the user to aim at, It is clear which dialogue information and which learning unit to compare. That is, since the dialogue information is selected based on the acquired learning situation information and the held dialogue information selection rule for each user, which learning unit specifically targets the acquired learning situation Will be shown.
　学習有効性判断ルールもまた、対話式健康促進システムの有効性判断ルールと同様に、誘導対話の有効性を判断することが可能であるし、ユーザの否定的反応に対する評価を行うことも可能なように構成することが考えられる。誘導対話有効性、ユーザの否定的反応に対する評価、性格の類型についての説明は。実施形態６において既に説明済みである。誘導対話の有効性やユーザの否定的反応に対する評価を判断することによって、前述のあきらめないルール又は／及びあきらめないプロセスにユーザの属性をより正確に反映させることが可能となり、ユーザに対する粘り強い、繰り返し行われる、あの手この手で攻略する、という対話方法の制度を高めることができる。 Similar to the effectiveness judgment rules of the interactive health promotion system, the learning effectiveness judgment rules can also judge the effectiveness of the guidance dialogue, and can also evaluate the negative reaction of the user. It is conceivable to configure as follows. The guidance dialogue effectiveness, the evaluation for the negative reaction of the user, the explanation about the type of the character. It has already been described in the sixth embodiment. By judging the effectiveness of the guidance dialogue and the evaluation for the negative reaction of the user, it is possible to more accurately reflect the user's attributes in the above-mentioned non-give-up rule and / or the non-give-up process, and tenacious, repetitive to the user It is possible to enhance the system of the dialogue method to be performed, and to capture with that hand.
＜実施形態１５　ハードウェア構成＞
　図４６は実施形態１５のハードウェア構成を示す図である。この図にあるように本発明は、基本的に汎用コンピュータとプログラム、各種デバイスで構成することが可能である。コンピュータの動作は基本的に不揮発性メモリに記録されているプログラムやデータを主メモリにロードして、主メモリとＣＰＵと各種デバイスとで処理を実行していく形態をとる。デバイスとの通信は、バス線と繋がったインターフェイスを介して行われる。この図にあるように実施形態１５のハードウェアを構成するプログラムのうち、実施形態１２から実施形態１４のいずれか一と共通の動作をするプログラムについては説明を省略する。本実施形態で新たに加わる、「学習履歴有効性判断ルール保持プログラム」は、学習有効性判断ルールを保持する。「学習対話情報有効性判断プログラム」は、学習有効性判断ルールに基づいて出力した対話情報の有効性を判断する。プログラムのより詳細な動作は各構成の説明で記載される動作を実現するものであり詳細はそちらを参照のこと。これら不揮発性メモリからメインメモリにコピーされた一連のプログラムの実行命令に基づいてこれらのプログラムが順次又は常時実行される。なお、データとしては、ユーザ識別情報（場合によりこれに関連付けられるユーザ属性情報）、外部情報（ＳＮＳユーザ関連情報を含む）、学習履歴情報、学習効果情報、学習分析ルール、学習状況情報、対話情報、ユーザ別対話情報選択ルール、選択した対話情報、学習有効性判断ルール、学習有効性判断結果、図示しない通信など各種の設定情報等が不揮発性メモリに保持され、主メモリにロードされ、一連のプログラム実行に際して参照され、利用される。 The hardware configuration of the fifteenth embodiment
FIG. 46 is a diagram showing a hardware configuration of the fifteenth embodiment. As shown in this figure, the present invention can basically be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. Among the programs constituting the hardware of the fifteenth embodiment as shown in this figure, the description of the programs having the same operation as any one of the twelfth to fourteenth embodiments will be omitted. The “learning history validity judgment rule holding program” newly added in the present embodiment holds the learning effectiveness judgment rule. The “learning dialogue information validity judgment program” judges the validity of the dialogue information outputted based on the learning validity judgment rule. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory. As data, user identification information (user attribute information associated with it in some cases), external information (including SNS user related information), learning history information, learning effect information, learning analysis rules, learning status information, dialogue information Various setting information etc. such as user-specific dialogue information selection rule, selected dialogue information, learning validity judgment rule, learning validity judgment result, communication not shown, etc. are held in non-volatile memory and loaded into main memory, and a series of It is referred to and used in program execution.
　＜実施形態１５　処理の流れ＞
　図４７は、実施形態１５の処理の流れの一例を示す図である。この図に示すように、第一学習ユーザ識別情報保持ステップ（４７０１）、第一学習ＳＮＳユーザ関連情報取得ステップ（４７０２）、第一学習履歴情報取得ステップ（４７０３）、第一学習効果情報取得ステップ（４７０４）、第一学習分析ルール保持ステップ（４７０５）、第一学習状況情報分析取得ステップ（４７０６）、第一学習対話情報蓄積ステップ（４７０７）、第一学習ユーザ別対話情報選択ルール保持ステップ（４７０８）、第一学習対話情報選択ステップ（４７０９）、第一学習対話情報出力ステップ（４７１０）、有効性判断ルールを保持する学習有効性判断ルール保持ステップ（４７１１）、学習有効性判断ルールに基づいて対話情報の有効性を判断する学習対話情報有効性判断ステップ（４７１２）と、からなる。 The flow of processing according to the fifteenth embodiment
FIG. 47 is a diagram illustrating an example of a process flow of the fifteenth embodiment. As shown in this figure, the first learning user identification information holding step (4701), the first learning SNS user related information acquiring step (4702), the first learning history information acquiring step (4703), the first learning effect information acquiring step (4704), first learning analysis rule holding step (4705), first learning situation information analysis acquiring step (4706), first learning dialogue information storing step (4707), first learning user classified dialogue information selecting rule ( 4708), the first learning dialogue information selecting step (4709), the first learning dialogue information outputting step (4710), the learning validity judgment rule holding step (4711) holding the validity judgment rule, based on the learning validity judgment rule And a learning dialogue information validity judging step (4712) for judging the validity of the dialogue information.
　＜実施形態１６＞
　＜実施形態１６　発明の概要＞
　実施形態１６の対話式学習促進システムは、実施形態１２から実施形態１５のいずれか一に記載した特徴に加えて、学習履歴情報を用いて対話情報の有効性を判断することを特徴とする。 The sixteenth embodiment
<Summary of the sixteenth embodiment>
In addition to the feature described in any one of the twelfth to fifteenth embodiments, the interactive learning promotion system according to the sixteenth embodiment is characterized in that the effectiveness of the dialogue information is judged using learning history information.
　＜実施形態１６　発明の構成＞
　実施形態１６の対話式促進システムの構成の一例は、図３６に示す実施形態１２の構成を基本として、これに加えて、学習履歴有効性判断ルール、学習履歴対話情報有効性判断部を有する構成である。実施形態１２から実施形態１５のいずれか一との共通の構成の説明は省略し、本実施形態に特有の構成についてのみ説明をする。 Embodiment 16: Configuration of the Invention
An example of the configuration of the interactive promotion system according to the sixteenth embodiment is based on the configuration of the twelfth embodiment shown in FIG. 36, and additionally has a learning history validity judgment rule and a learning history dialogue information validity judgment unit. It is. The description of the configuration common to any one of the twelfth to fifteenth embodiments will be omitted, and only the configuration unique to this embodiment will be described.
　＜実施形態１６　学習履歴有効性判断ルール保持部＞
　「学習履歴有効性判断ルール保持部」は、出力された対話情報に対して取得された学習履歴情報に基づいて対話情報が有効であったか判断するルールである学習履歴有効性判断ルールを保持する。「学習履歴有効性判断ルール」は、ユーザが対話情報に従った又は対話情報が意図した行動をとったかを学習履歴から判断して、出力した対話情報の有効性を判断するルールである。出力した対話情報によって指定、提案、意図された内容と一致または近接する行動をユーザがとっている場合に出力した対話情報が有効であると判断する。どの対話情報がどの学習単位等を狙ったものであったかに関しては前述のとおりに取得する。またその行動をとったことが対話情報の出力から所定の時間内に限るように構成することもできる。どの程度の時間内とするかはシステム設計思想によるが、ユーザ属性との関係で適切な時間長を定めることができる。一般的には数時間内から１週間内程度である。 <Sixteenth embodiment learning history validity determination rule holding unit>
The “learning history validity judgment rule holding unit” holds a learning history validity judgment rule which is a rule for judging whether the dialogue information is valid based on the learning history information acquired with respect to the outputted dialogue information. The “learning history validity determination rule” is a rule that determines from the learning history whether the user follows the dialogue information or the dialogue information has taken an intended action, and determines the validity of the outputted dialogue information. It is determined that the interaction information output when the user takes an action that matches or approaches the specified, proposed, or intended content according to the output interaction information is valid. It is acquired as mentioned above regarding which dialogue information aimed at which learning unit etc. Moreover, it can also be configured to limit the action taken within the predetermined time from the output of the dialogue information. Although it depends on the system design concept, it is possible to determine an appropriate time length in relation to the user attribute, depending on how much time is taken. Generally within a few hours to within a week.
　学習履歴有効性判断ルールは、対話情報の有効性を学習履歴情報に基づいて判断するためのルールである。本対話式学習促進システムでは、学習行動を習慣的に身に着けさせるために、学習意欲を刺激して向上ないし維持させるという点に重点がある。従ってある程度外形的な判断になるが、学習履歴情報の情報内容を深くし、その深い情報を利用するルールとすることでより実質に近い判断ができるようになる。例えば、簡単な学習について対話情報の出力から半日経過してからやっとユーザが学習を始めたような場合、対話情報によってユーザの学習意欲が即座に刺激されて学習意欲を高めたとは言えず、出力した対話情報の有効性としては低いと判断する場合がある。ユーザが対話情報に即座に応じたとしても、学習履歴情報から学習継続時間と判断される同時刻中に、ＳＮＳで友人と会話をしていたり、思考中の問題の画像をＳＮＳに投稿してヒントを求めていたりした場合には、学習効果情報として効果が高いという情報が取得されていたとしても、ユーザに正しい学習習慣が身についているとはいえず、出力した対話情報の有効性としては低いと判断することができる。このように学習履歴情報は外部情報によって修正されたものが利用されるように構成してもよい。 The learning history validity determination rule is a rule for determining the validity of the dialogue information based on the learning history information. In this interactive learning promotion system, emphasis is placed on stimulating and improving or maintaining the willingness to learn in order to put on learning behavior habitually. Therefore, although the judgment is to some extent external, the information content of the learning history information can be deepened, and by using the deep information as the rule, the judgment can be made closer to the real. For example, when the user starts learning only half a day after the output of the dialog information for simple learning, it can not be said that the user's willingness to learn is immediately stimulated by the dialog information to enhance the learning motivation, and the output It may be judged that the effectiveness of the dialogue information is low. Even if the user responds immediately to the dialogue information, during the same time determined as the learning continuation time from the learning history information, have a conversation with a friend on the SNS, or post an image of a problem in thinking to the SNS When a hint is sought, even if information that the effect is high as learning effect information is acquired, it can not be said that the user has the correct learning habits, and the effectiveness of the output dialogue information is It can be judged low. As described above, learning history information may be configured to be used as corrected by external information.
　学習履歴有効性判断ルールもまた、対話式健康促進システムの有効性判断ルールと同様に、誘導対話の有効性を判断することが可能であるし、ユーザの否定的反応に対する評価を行うことも可能なように構成することが考えられる。誘導対話有効性、ユーザの否定的反応に対する評価、性格の類型についての説明は。実施形態６において既に説明済みである。誘導対話の有効性やユーザの否定的反応に対する評価を判断することによって、前述のあきらめないルール又は／及びあきらめないプロセスにユーザの属性をより正確に反映させることが可能となり、ユーザに対する粘り強い、繰り返し行われる、あの手この手で攻略する、という対話方法の制度を高めることができる。 The learning history validity judgment rule can also judge the effectiveness of the guidance dialogue as well as the effectiveness judgment rule of the interactive health promotion system, and can also evaluate the negative reaction of the user. It is conceivable to configure as follows. The guidance dialogue effectiveness, the evaluation for the negative reaction of the user, the explanation about the type of the character. It has already been described in the sixth embodiment. By judging the effectiveness of the guidance dialogue and the evaluation for the negative reaction of the user, it is possible to more accurately reflect the user's attributes in the above-mentioned non-give-up rule and / or the non-give-up process, and tenacious, repetitive to the user It is possible to enhance the system of the dialogue method to be performed, and to capture with that hand.
＜実施形態１６　学習履歴対話情報有効性判断部＞
　「学習履歴対話情報有効性判断部」は、出力された対話情報とこの対話情報に対して取得された学習履歴情報と、学習履歴有効性判断ルールとに基づいて対話情報の有効性を判断する。ユーザの学習履歴が出力した対話情報の意図と合致するときに最も評価が高くなり、近接性が低くなるほど評価が低くなるように設計することができる。近接性の評価は、（１）対話情報の出力から意図した学習が開始されるまでの時間長、（２）前記時間長の母集団内での偏差値、（３）時間長と意図した学習単位に定められた標準時間との差やその差の母集団内での偏差値、（４）意図した学習の開始予定時間と実際の開始時間の差、（５）前記差の母集団内での偏差値、（６）前記差の学習単位に定められた標準時間差との差やその差の母集団内での偏差値、（７）学習の継続時間、（８）学習の継続時間内での休憩頻度（時間、回数等で測定）、（９）学習と学習との間の空白時間長、（１０）キーボード等の学習用入力デバイスの操作情報、（１１）学習用端末近傍に設置されたカメラからのユーザの動画分析結果、（１２）ユーザの学習関係者による評価等のいずれか一以上で判断することができる。学習履歴対話情報有効性判断部は、ユーザが学習行動をとっている最中に対話情報の有効性を判断できるように構成してもよいし、事後的にバッチ処理（例えば真夜中でユーザが本システムと対話を通常しない時間帯（睡眠時間帯）や、ユーザとの対話が長時間途切れる場合（授業や試験の時間帯：カリキュラム情報等で特定できる））で過去の学習履歴から有効性判断をするように構成することも可能である。 Embodiment 16 Learning History Dialogue Information Validity Determination Unit
"Learning history dialogue information validity judgment unit" judges the validity of the dialogue information based on the outputted dialogue information, the learning history information acquired for the dialogue information, and the learning history validity judgment rule . The evaluation can be designed to be the highest when the learning history of the user matches the intention of the outputted dialogue information, and the lower the proximity, the lower the evaluation. The evaluation of proximity is (1) the length of time from the output of the dialogue information to the start of the intended learning, (2) the deviation value of the time length in the population, and (3) the intended learning The difference between the standard time defined in the unit and the deviation value of the difference within the population, (4) the difference between the scheduled start time of the intended learning and the actual start time, (5) within the population of the difference Deviation value of (6) Difference with standard time difference defined in the learning unit of difference or deviation value within the population of the difference (7) Duration of learning, (8) Within duration of learning Break frequency (measured by time, number of times etc), (9) blank time length between learning and learning, (10) operation information of learning input device such as keyboard, (11) installed near learning terminal Judgment based on one or more of the user's video analysis results from different cameras, (12) evaluation by the user involved in learning, etc. Rukoto can. The learning history dialogue information validity judgment unit may be configured to be able to judge the validity of the dialogue information while the user is taking a learning action, or batch processing (for example, the user is in the middle of the night) Judgment of effectiveness based on the past learning history in the time zone (sleep time zone) where the dialog with the system is not normal (sleep time zone), or when the dialog with the user is interrupted for a long time It is also possible to configure it to
＜実施形態１６　ハードウェア構成＞
　実施形態１６のハードウェア構成は、図３７に示す実施形態１２のハードウェア構成を基本とする。実施形態１２から実施形態１５のいずれか一との共通の動作をするプログラムについて説明を省略する。本実施形態で新たに加わる「学習履歴有効性判断ルール保持プログラム」は、学習履歴有効性判断ルールを保持する。「学習履歴対話情報有効性判断プログラム」は、学習履歴有効性判断ルールに基づいて出力した対話情報の有効性を判断する。この図にあるように本発明は、基本的に汎用コンピュータとプログラム、各種デバイスで構成することが可能である。コンピュータの動作は基本的に不揮発性メモリに記録されているプログラムやデータを主メモリにロードして、主メモリとＣＰＵと各種デバイスとで処理を実行していく形態をとる。デバイスとの通信は、バス線と繋がったインターフェイスを介して行われる。プログラムのより詳細な動作は各構成の説明で記載される動作を実現するものであり詳細はそちらを参照のこと。これら不揮発性メモリからメインメモリにコピーされた一連のプログラムの実行命令に基づいてこれらのプログラムが順次又は常時実行される。なお、データとしては、ユーザ識別情報（場合によりこれに関連付けられるユーザ属性情報）、外部情報（ＳＮＳユーザ関連情報を含む）、学習履歴情報、学習効果情報、学習分析ルール、学習状況情報、対話情報、ユーザ別対話情報選択ルール、選択した対話情報、学習履歴有効性判断ルール、学習履歴有効性判断結果、図示しない通信など各種の設定情報等が不揮発性メモリに保持され、主メモリにロードされ、一連のプログラム実行に際して参照され、利用される。 Embodiment 16 Hardware Configuration
The hardware configuration of the sixteenth embodiment is based on the hardware configuration of the twelfth embodiment shown in FIG. The description of a program that performs a common operation with any one of the twelfth to fifteenth embodiments is omitted. The “learning history validity determination rule holding program” newly added in the present embodiment holds a learning history validity determination rule. The “learning history dialogue information validity judgment program” judges the validity of the dialogue information outputted based on the learning history validity judgment rule. As shown in this figure, the present invention can basically be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory. As data, user identification information (user attribute information associated with it in some cases), external information (including SNS user related information), learning history information, learning effect information, learning analysis rules, learning status information, dialogue information Various setting information etc. such as user-specific dialogue information selection rule, selected dialogue information, learning history validity judgment rule, learning history validity judgment result, communication not shown, etc. are held in non-volatile memory and loaded to main memory, It is referred to and used during a series of program execution.
＜実施形態１６　処理の流れ＞
　実施形態１６の対話式学習促進システムの処理の流れの一例は、図３８に示す実施形態１２の処理の流れを基本とし、第一学習対話情報出力ステップの後にこれに加えて、学習履歴有効性判断ルールを保持する学習履歴有効性判断ルール保持ステップ、学習履歴有効性判断ルールに基づいて出力した対話情報の有効性を判断する学習履歴対話情報有効性判断ステップを有する。実施形態１２から実施形態１５のいずれか一との共通の情報処理を行うステップについての説明は省略した。 The flow of the sixteenth embodiment
An example of the process flow of the interactive learning promotion system of the sixteenth embodiment is based on the process flow of the twelfth embodiment shown in FIG. 38, and additionally to the learning history validity step after the first learning dialogue information output step. The learning history validity judgment rule holding step for holding the judgment rule, and the learning history dialogue information validity judgment step for judging the validity of the dialogue information outputted based on the learning history validity judgment rule. The description of the steps for performing the common information processing with any one of the twelfth to fifteenth embodiments is omitted.
　＜実施形態１７　発明の概要＞
　実施形態１７の対話式学習促進システムは、実施形態１５又は実施形態１６に記載の特徴に加えて、ビックデータの統計処理によって統計的対話情報有効性判断を行うことを特徴とする。 <Seventeenth Embodiment Outline of the Invention>
The interactive learning promotion system according to the seventeenth embodiment is characterized in that, in addition to the feature described in the fifteenth embodiment or the sixteenth embodiment, statistical dialogue information validity judgment is performed by statistical processing of big data.
　＜実施形態１７　発明構成＞
　図４８は、実施形態１７の対話式学習促進システムの構成の一例を示す図である。図４８に示すように、実施形態１７の対話式学習促進システムは、第一学習ユーザ識別情報保持部（４８０１）、第一学習ＳＮＳユーザ関連情報取得部（４８０２）、第一学習履歴情報取得部（４８０３）、第一学習効果情報取得部（４８０４）、第一学習分析ルール保持部（４８０５）、第一学習状況情報分析取得部（４８０６）、第一学習対話情報蓄積部（４８０７）、第一学習ユーザ別対話情報選択ルール保持部（４８０８）、第一学習対話情報選択部（４８０９）、第一学習対話情報出力部（４８１０）、学習有効性判断ルール保持部（４８１１）、学習対話情報有効性判断部（４８１２）、学習有効性統計処理ルール保持手段（４８１３）、学習統計的対話情報有効性情報取得手段（４８１４）と、からなる。本実施形態では、実施形態１５又は実施形態１６との共通の構成の説明は省略し、本実施形態に特有の構成についてのみ説明する。 Embodiment 17: Configuration of the Invention
FIG. 48 is a diagram showing an example of the configuration of the interactive learning promotion system of the seventeenth embodiment. As shown in FIG. 48, the interactive learning promotion system of the seventeenth embodiment includes a first learning user identification information holding unit (4801), a first learning SNS user related information acquisition unit (4802), and a first learning history information acquisition unit. (4803), first learning effect information acquisition unit (4804), first learning analysis rule holding unit (4805), first learning status information analysis acquisition unit (4806), first learning dialogue information storage unit (4807), First learning dialogue information selection rule holding unit for each learning user (4808), first learning dialogue information selecting unit (4809), first learning dialogue information output unit (4810), learning effectiveness judgment rule holding unit (4811), learning dialogue information It comprises an effectiveness judgment unit (4812), learning effectiveness statistical processing rule holding means (4813), and learning statistical dialogue information effectiveness information acquiring means (4814). In the present embodiment, the description of the common configuration with the fifteenth embodiment or the sixteenth embodiment will be omitted, and only the configuration unique to the present embodiment will be described.
　＜実施形態１７　構成の説明＞
　＜実施形態１７　学習有効性統計処理ルール保持手段＞
　「学習有効性統計処理ルール保持手段」は、複数のユーザの対話情報の有効性を母集団に対して一部は共通のユーザ属性ごとに統計処理するルールである学習有効性統計処理ルールを保持する学習対話情報有効性判断部又は／及び前記学習履歴対話情報有効性判断部が有する手段である。すでに述べた対話情報有効性判断部での処理として一般的にはある特定のユーザに対して出力された対話情報に応じた学習効果情報や学習履歴情報から対話情報のその特定のユーザに対する有効性を個別に判断する、というものが考えられる。「母集団に対して一部は共通のユーザ属性ごとに」とは、学習に関して共通のユーザ属性を有するユーザでなければ対話情報の有効性を比較できないからである。具体的には学習単位やその上位概念（学習科目、学習カテゴリ等）が共通であるユーザ属性を有するユーザを母集団として対話情報の有効性を判断することができる。対話情報の有効性は個別の個人との関係で判断できるが、集団を対象として統計的な有効性を判断することもできる。本システムにおいては、ユーザ識別情報に関連付けてそのユーザの何らかの属性情報を保持していることは前提となっている。学習状況情報もユーザ毎に属性情報として保持されているように構成することが好ましい。 <Description of the configuration of the seventeenth embodiment>
Embodiment 17 Learning Effectiveness Statistical Processing Rule Holding Means
"Learning effectiveness statistical processing rule holding means" holds a learning effectiveness statistical processing rule, which is a rule for performing statistical processing of the effectiveness of interaction information of a plurality of users for each common user attribute with respect to the population Means for the learning dialogue information validity judging unit and / or the learning history dialogue information validity judging unit. The effectiveness of the dialog information from the learning effect information or the learning history information according to the dialog information output to a specific user as the processing in the dialog information validity judging unit already described to the specific user It is conceivable to judge the This is because “for each part of the population with common user attributes for the population” can only compare the effectiveness of the dialogue information unless the user has common user attributes for learning. Specifically, it is possible to determine the effectiveness of the dialogue information by using, as a population, users having user attributes in which the learning unit and its upper concepts (learning items, learning categories, etc.) are common. Although the effectiveness of dialogue information can be judged in relation to individual individuals, statistical effectiveness can also be judged for groups. In this system, it is premised that some attribute information of the user is held in association with the user identification information. It is preferable that the learning status information is also held as attribute information for each user.
　このような共通の属性を有することを条件として母集団を構成し、有効な対話情報を絞り込むことで、個人個人の対話情報に対する応答情報から見出される対話の有効性よりもさらに精度を上げた有効な対話情報の絞り込み（選択）が可能となる。対話情報の統計処理された有効性情報は共通のユーザ属性ごとに取得される。従って、そのユーザ属性を有するユーザ識別情報で識別されるユーザのユーザ別対話情報選択ルールを更新することで、ユーザ属性に応じた対話情報を選択可能に、システムが随時更新されていくことになる。なお、個別ユーザに対する対話情報とその学習効果情報や学習履歴情報から見出される有効性の判断結果と、統計的に処理された有効性の判断結果とが矛盾する場合には、ユーザ個別に判断された有効性の結果を優先する。また両者が矛盾しない場合には重み付けをすることによって有効性が高い順を定めるように構成することができる。最も重み付けは個人個人での判断結果を重たくした方が効果的であると考えられるので例えば、個人個人で有効と判断された対話情報に対する重み付けと、統計的処理によって有効と判断される対話情報とに７：３、６：４程度の重み付けをしてユーザ別対話情報選択ルールに組み込むことが考えられる。 By constructing a population on the condition that they have such common attributes and narrowing down valid dialogue information, it is more effective than the effectiveness of the dialogue found from the response information to the dialogue information of the individual individual. It is possible to narrow down (select) various interactive information. Statistically processed validity information of dialogue information is acquired for each common user attribute. Therefore, by updating the user-specific dialog information selection rule of the user identified by the user identification information having the user attribute, the system can be updated as needed so that the dialog information can be selected according to the user attribute. . In the case where the dialogue information for the individual user and the judgment result of the effectiveness found from the learning effect information and the learning history information contradict with the judgment result of the effectiveness processed statistically, the judgment is made individually for each user. Prioritize the results of effectiveness. When the two do not contradict each other, the weighting can be used to determine the order of high effectiveness. Since it is considered more effective to weight the judgment results of individuals individually, it is effective, for example, to weight information on dialogue information judged to be effective in individuals, and information on dialogue information judged to be effective by statistical processing. It can be considered to incorporate in the user-by-user dialogue information selection rule a weighting of about 7: 3, 6: 4.
　＜学習有効性統計処理ルールについて＞
　「学習有効性統計処理ルール」とは、ある対話情報の統計的有効性を取得するためのルールと、ユーザ属性に合わせてアレンジされたユーザ毎に異なる対話情報の意図の同一性を確定するためのルールと、の二つによって構成されている。なお前述のとおり、対話情報には対話情報属性情報が付されており、これによって意図の同一性を判断するように処理してもよい。例えば、ある対話情報の統計的有効性の結果は、５段階評価などの数値評価によって取得することが考えられる。数値評価の数値は、各ユーザが対話情報に含まれるアドバイスに対する学習効果情報や学習履歴情報に基づいて評価することが考えられる。なお、統計処理は、過去に蓄積された対話情報と対応付けられている学習効果情報又は／及び学習履歴情報を用いて統計処理することもできる。さらに有効性の取得は、対話情報の出力前後の学習状況情報の変化に応じて取得されるように構成してもよい。これは統計処理の場合でも統計処理をしない場合でも同様である。また、学習有効性統計処理ルールは、導入対話及びユーザの否定反応に対する評価についても、統計的有効性を判断可能に構成しておくことが考えられる。導入対話情報、否定的反応に対する評価、性格の類型についての説明は、対話式健康促進システムの実施形態６において説明済みである。誘導対話の有効性やユーザの否定的反応に対する評価を判断することによって、前述のあきらめないルール又は及びあきらめないプロセスにユーザの属性をより正確に反映させることが可能となり、ユーザに対する粘り強い、繰り返し行われる、あの手この手で攻略する、という対話方法の制度を高めることができる。 <About learning effectiveness statistical processing rules>
“Learning effectiveness statistical processing rule” is to determine the sameness of the intention of the dialogue information different for each user arranged to the user attribute and the rule for acquiring the statistical effectiveness of certain dialogue information The rule of, is composed of two. Note that, as described above, dialogue information attribute information is attached to the dialogue information, and processing may be performed so as to determine the identity of the intention. For example, it is conceivable to obtain the result of statistical effectiveness of certain dialogue information by numerical evaluation such as 5-step evaluation. It is conceivable that each user evaluates the numerical value of the numerical evaluation based on learning effect information and learning history information for the advice included in the dialogue information. Note that statistical processing can also be performed statistically using learning effect information or / and learning history information associated with dialogue information accumulated in the past. Further, the acquisition of the effectiveness may be configured to be acquired according to the change in the learning status information before and after the output of the dialogue information. This is the same in statistical processing and in the case of not performing statistical processing. In addition, it is conceivable that the learning effectiveness statistical processing rule can be configured to be able to judge statistical effectiveness also for the evaluation on introduction dialogue and negative reaction of the user. The introductory dialogue information, the evaluation for negative reaction, and the description of the type of personality have been described in the sixth embodiment of the interactive health promotion system. By judging the effectiveness of the guidance dialogue and the evaluation for the negative reaction of the user, it is possible to more accurately reflect the user's attributes in the above-mentioned non-give-up rule and / or the non-give-up process, which makes the user persistent It is possible to enhance the system of dialogue method of attacking with that kind of hand.
　ユーザ属性情報は、ユーザ識別情報に関連付けてユーザ属性情報保持部などに保持されるように構成されるが、このユーザ属性情報は、対話情報と応答情報とユーザ属性情報判断ルールとに基づいてユーザ属性情報保持部に保持されているユーザ属性情報を更新するように構成してもよい。さらに後述する性格診断テストを定期的に又は不定期に実施して（性格診断対話情報等を用いる）この保持されているユーザ属性情報を更新するように構成してもよい。さらに、初期のユーザ属性情報を構成するユーザの性格に関しては、各性格種毎に点数化して保持するようにしたうえで中央値を割り当てたり、ユーザに対してアンケートを行ってそのアンケート結果を保持するように構成することがが考えられる。さらに、性格はＳＮＳの会話情報を会話情報分析ルールに基づいて会話情報分析部によって分析して性格を割り出すように構成してもよい。ＳＮＳ中には友人等との間の膨大な会話が蓄積されているのでこれを有効に利用できる。さらに、ＳＮＳ中に紹介されている読書傾向、映画の好みの傾向、音楽の好み、趣味、好みの芸能人や有名人、などを分析して性格を割り出すように構成してもよい。ユーザ属性情報の学習関連の情報は、国籍、使用する言語、留学経験の有無、留学先の国、学年、クラス、男女、所属学校、所属塾、所属通信学習コース（学習システムでの学習コース）、所属教室、理系か文系か、学習している科目、学習単位、志望校、進路、出身校、出身クラブ、流派、所属階級（初段、二級など）、役職、学習対象の学習継続年数（時間）、大会などでの入賞経験、大会などへの参加経験などである。これらの情報の取得方法については、実施形態１２にて説明済みである。 The user attribute information is configured to be held in a user attribute information holding unit or the like in association with the user identification information, but the user attribute information is a user based on the dialogue information, the response information, and the user attribute information judgment rule. The user attribute information held in the attribute information holding unit may be updated. Furthermore, a character diagnosis test to be described later may be performed regularly or irregularly (using character diagnosis dialogue information or the like) to update the held user attribute information. Furthermore, with regard to the personality of the user who composes the initial user attribute information, a score is stored for each personality type and then a median is assigned or a questionnaire is given to the user and the questionnaire result is retained. It is conceivable to configure it to Furthermore, the character may be configured to analyze the conversation information of the SNS by the conversation information analysis unit based on the conversation information analysis rule to determine the character. Since huge conversations with friends etc. are accumulated in SNS, this can be used effectively. Furthermore, it may be configured to analyze the reading tendency introduced in the SNS, the tendency of the preference of the movie, the preference of the music, the taste, the favorite entertainer or the celebrity, and the like to determine the character. Information related to learning of user attribute information includes nationality, language used, experience of studying abroad, country of study abroad, school year, class, gender, belonging school, belonging school, belonging communication learning course (learning course in learning system) , Affiliation class, science or culture, subject being studied, learning unit, desired school, course, home school, home school, home club, school, affiliation class (first rank, second grade, etc.), job title, length of study duration for study (time ), Winning experience in competitions, etc., participation experience in competitions etc. The method of acquiring these pieces of information has already been described in the twelfth embodiment.
　＜実施形態１７　学習統計的対話情報有効性情報取得手段＞
　「学習統計的対話情報有効性情報取得手段」は、複数のユーザの対話情報と、保持されている学習有効性統計処理ルールとに基づいて、統計的に対話情報の有効性を少なくとも母集団に対して一部は共通のユーザ属性ごとに判断した統計的対話情報有効性情報を取得する対話情報有効性判断部が有する手段である。前述のように、本システムにおいては、ユーザ識別情報に関連付けてそのユーザの何らかの属性情報を保持していることは前提となっていて、このような属性で母集団を構成し、属性が共通する母集団ごとに対話情報の有効性情報をまとめることで、少なくとも母集団に対して一部は共通のユーザ属性ごとに統計的対話情報有効性情報を取得することができる。「学習統計的対話情報有効性情報」とは、統計的に処理された結果、ユーザ属性等に応じて対話の有効度（有効度低から有効度高まで）と、各有効度を有する各種対話情報の種類数を関数として表現した情報であり、一般的に正規分布するものである。図２２は、学習統計的対話情報有効性情報の例示の一つである（実施形態７で説明済みである。）。つまり、有効度「中」となる対話情報が最も数が多く（有効度平均となる対話情報の種類が最も多い）、逆に有効度「高」及び有効度「低」となる対話情報の数が減るように分布するデータ群である。このデータを用いることによってどのような会話情報がどの程度の有効性を発揮するかを知ることができ、コンピュータとしては利用することができる。対話情報を用いるテーマや目的ごとに、学習統計的対話情報有効性情報は区別して保持されるとなお良く、対話情報を用いるテーマや目的ごとに複数の情報が存在している。 Embodiment 17 Learning Statistical Dialogue Information Validity Information Acquisition Means
"Learning statistical dialogue information effectiveness information acquisition means" makes the effectiveness of the dialogue information statistically at least in the population based on the dialogue information of a plurality of users and the held learning effectiveness statistical processing rules. On the other hand, a part is a means included in the dialogue information validity judgment unit which acquires statistical dialogue information validity information judged for each common user attribute. As described above, in the present system, it is premised that some attribute information of the user is held in association with the user identification information, and such attributes constitute a population, and the attributes are common. By collecting the effectiveness information of the dialogue information for each population, it is possible to obtain statistical dialogue information validity information for at least a part of the population for each common user attribute. "Learning statistical dialogue information effectiveness information" is a result of processing statistically, according to the user attribute etc. effectiveness of dialogue (from low effectiveness to high effectiveness) and various dialogues having each effectiveness It is information that expresses the number of types of information as a function, and is generally normally distributed. FIG. 22 is one example of learning statistical dialogue information validity information (described in the seventh embodiment). In other words, the number of dialog information with the effectiveness "medium" is the largest (the number of types of dialog information that is the average of the effectiveness is the largest), and conversely the number of dialog information with the effectiveness "high" and the effectiveness "low". Is a data group distributed so as to decrease. By using this data, it can be known what kind of conversation information exerts what degree of effectiveness, and it can be used as a computer. It is better for learning statistical dialogue information validity information to be separately stored for each theme or purpose that uses dialogue information, and a plurality of pieces of information exist for each theme or purpose that uses dialogue information.
＜実施形態１７　ハードウェア構成＞
　図４９は実施形態１７のハードウェア構成を示す図である。この図にあるように本発明は、基本的に汎用コンピュータとプログラム、各種デバイスで構成することが可能である。コンピュータの動作は基本的に不揮発性メモリに記録されているプログラムやデータを主メモリにロードして、主メモリとＣＰＵと各種デバイスとで処理を実行していく形態をとる。デバイスとの通信は、バス線と繋がったインターフェイスを介して行われる。この図にあるように実施形態１７のハードウェアを構成するプログラムのうち、実施形態１５又は実施形態１６との共通の動作をするプログラムについては説明を省略する。本実施形態で新たに加わる、「学習有効性統計処理ルール保持プログラム」は、学習有効性統計処理ルールを保持する。「学習統計的対話情報有効性情報取得プログラム」は、学習有効性統計処理ルールに基づいて学習統計的対話情報有効性情報を取得する。プログラムのより詳細な動作は各構成の説明で記載される動作を実現するものであり詳細はそちらを参照のこと。これら不揮発性メモリからメインメモリにコピーされた一連のプログラムの実行命令に基づいてこれらのプログラムが順次又は常時実行される。なお、データとしては、ユーザ識別情報（場合によりこれに関連付けられるユーザ属性情報）、外部情報（ＳＮＳユーザ関連情報を含む）、学習履歴情報、学習効果情報、学習分析ルール、学習状況情報、対話情報、ユーザ別対話情報選択ルール、選択した対話情報、学習有効性判断ルール、学習有効性判断結果、学習有効性統計処理ルール、学習統計的対話情報有効性情報、図示しない通信など各種の設定情報等が不揮発性メモリに保持され、主メモリにロードされ、一連のプログラム実行に際して参照され、利用される。 The hardware configuration of the seventeenth embodiment
FIG. 49 is a diagram showing a hardware configuration of the seventeenth embodiment. As shown in this figure, the present invention can basically be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. Among the programs constituting the hardware of the seventeenth embodiment as shown in this figure, the description of the programs having the common operation with the fifteenth embodiment or the sixteenth embodiment will be omitted. The “learning effectiveness statistical processing rule holding program” newly added in the present embodiment holds the learning effectiveness statistical processing rule. The “learning statistical dialogue information effectiveness information acquiring program” acquires learning statistical dialogue information validity information based on the learning effectiveness statistical processing rule. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory. As data, user identification information (user attribute information associated with it in some cases), external information (including SNS user related information), learning history information, learning effect information, learning analysis rules, learning status information, dialogue information User-specific dialogue information selection rules, selected dialogue information, learning effectiveness judgment rules, learning effectiveness judgment results, learning effectiveness statistical processing rules, learning statistical dialogue information validity information, various settings such as communication not shown, etc. Are stored in the non-volatile memory, loaded into the main memory, and referenced and used in executing a series of programs.
　＜実施形態１７　処理の流れ＞
　図５０は、実施形態１７の処理の流れの一例を示す図である。この図に示すように、第一学習ユーザ識別情報保持ステップ（５００１）、第一学習ＳＮＳユーザ関連情報取得ステップ（５００２）、第一学習履歴情報取得ステップ（５００３）、第一学習効果情報取得ステップ（５００４）、第一学習分析ルール保持ステップ（５００５）、第一学習状況情報分析取得ステップ（５００６）、第一学習対話情報蓄積ステップ（５００７）、第一学習ユーザ別対話情報選択ルール保持ステップ（５００８）、第一学習対話情報選択ステップ（５００９）、第一学習対話情報出力ステップ（５０１０）、学習有効性判断ルール保持ステップ（５０１１）、学習対話情報有効性判断ステップ（５０１２）、学習有効性統計処理ルールを保持する学習有効性統計処理ルール保持サブステップ（５０１３）、学習有効性統計処理ルールに基づいて統計的対話情報有効性情報を取得する学習統計的対話情報有効性情報取得サブステップ（５０１４）と、からなる。 The flow of the seventeenth embodiment
FIG. 50 is a diagram illustrating an example of a process flow of the seventeenth embodiment. As shown in this figure, the first learning user identification information holding step (5001), the first learning SNS user related information acquiring step (5002), the first learning history information acquiring step (5003), the first learning effect information acquiring step (5004), first learning analysis rule holding step (5005), first learning situation information analysis acquiring step (5006), first learning dialogue information storing step (5007), first learning user classified dialogue information selecting rule holding step ( 5008), first learning dialogue information selecting step (5009), first learning dialogue information outputting step (5010), learning effectiveness judgment rule holding step (5011), learning dialogue information validity judging step (5012), learning effectiveness Learning effectiveness statistical processing rule holding substep (5013) holding statistical processing rules, learning available A learning statistical interactive information validity information acquiring substep for acquiring statistical interactive information validity information based on sexual statistical processing rule (5014), consisting of.
　＜実施形態１８＞
　＜実施形態１８　発明の概要＞
　実施形態１８の対話式学習促進システムは、実施形態１５から実施形態１７のいずれか一に記載の特徴に加えて、有効性判断結果に基づいてユーザ別対話情報選択ルールを更新することを特徴とする。 The eighteenth embodiment
<Outline of the eighteenth embodiment>
The interactive learning promotion system of the eighteenth embodiment is characterized in that, in addition to the feature described in any one of the fifteenth to seventeenth embodiments, the user-specific dialog information selection rule is updated based on the validity judgment result. Do.
　＜実施形態１８　発明の構成＞
　図５１は、実施形態１８の対話式学習促進システムの構成の一例を示す図である。図５１に示すように、実施形態１８の対話式学習促進システムは、第一学習ユーザ識別情報保持部（５１０１）、第一学習ＳＮＳユーザ関連情報取得部（５１０２）、第一学習履歴情報取得部（５１０３）、第一学習効果情報取得部（５１０４）、第一学習分析ルール保持部（５１０５）、第一学習状況情報分析取得部（５１０６）、第一学習対話情報蓄積部（５１０７）、第一学習ユーザ別対話情報選択ルール保持部（５１０８）、第一学習対話情報選択部（５１０９）、第一学習対話情報出力部（５１１０）、学習有効性判断ルール保持部（５１１１）、学習対話情報有効性判断部（５１１２）、学習ユーザ別対話情報選択ルール更新部（５１１３）と、からなる。本実施形態では、実施形態１５から実施形態１７のいずれか一との共通の構成の説明は省略し、本実施形態に特有の構成についてのみ説明する。 <Embodiment 18 Configuration of the Invention>
FIG. 51 is a diagram showing an example of the configuration of the interactive learning promotion system of the eighteenth embodiment. As shown in FIG. 51, the interactive learning promotion system according to the eighteenth embodiment includes a first learning user identification information holding unit (5101), a first learning SNS user related information acquiring unit (5102), and a first learning history information acquiring unit. (5103), first learning effect information acquisition unit (5104), first learning analysis rule holding unit (5105), first learning status information analysis acquisition unit (5106), first learning dialogue information storage unit (5107), First learning dialogue information selection rule holding unit (5108) for each learning user, first learning dialogue information selecting unit (5109), first learning dialogue information output unit (5110), learning effectiveness judgment rule holding unit (5111), learning dialogue information It consists of a validity judgment unit (5112) and a learning user-based dialogue information selection rule updating unit (5113). In the present embodiment, the description of the configuration common to any one of the fifteenth to seventeenth embodiments is omitted, and only the configuration unique to the present embodiment will be described.
　＜実施形態１８　ユーザ別対話情報選択ルール更新部＞
　「学習ユーザ別対話情報選択ルール更新部」は、学習対話情報有効性判断部又は／及び前記学習履歴対話情報有効性判断部での有効性判断結果に基づいてユーザ別対話情報選択ルール保持部に保持されているユーザ別対話情報選択ルールを更新する。更新するとは、ユーザ別に対話情報に関連付けられている有効性を更新することである。有効性判断の結果、従来から対話情報に関連付けられているユーザ別の有効性に変動があった場合には最新の有効性に関連付ける処理を行う。図２５はユーザ別対話情報選択ルール更新部の働きを表す図であり、実施形態８で概要を説明済みである。結果として、従前より有効性の高い対話情報を選択することが可能となる。この選択は対話情報蓄積部（第一、第二を含む）に蓄積されている対話情報の優先選択順位を変更する処理でもある。有効性は、学習効果情報に基づいて判断される有効性、学習履歴情報に基づいて判断さえれる有効性、その他応答対話情報に基づいて判断される有効性と、その基づく情報別に保持されるように構成されていてもよい。さらに有効性は、対話情報として選択すべき頻度、誘導対話中に対話情報として選択すべき回数、のように表現されるものであってもよい。さらに有効性は、発言者であるアバターや、発言形式に応じて関連付けられるように構成してもよい。 <The eighteenth embodiment user-specific dialogue information selection rule updating unit>
The “learning user-specific dialogue information selection rule updating unit” is a learning information-specificity judging unit or / and the learning history dialogue information validity judging unit, and the “interactive information selecting rule holding unit for each user”. Update the per-user dialog information selection rule that is held. To update is to update the validity associated with the interaction information for each user. If there is a change in the user-by-user effectiveness conventionally associated with the dialogue information as a result of the effectiveness determination, processing for associating with the latest effectiveness is performed. FIG. 25 is a diagram showing the function of the user-by-user dialogue information selection rule updating unit, and the outline has been described in the eighth embodiment. As a result, it becomes possible to select more effective dialogue information than before. This selection is also a process of changing the priority selection order of the dialogue information stored in the dialogue information storage unit (including the first and the second). Validity is held separately for effectiveness judged based on learning effect information, effectiveness judged even based on learning history information, effectiveness judged based on other response dialogue information, and information based on that May be configured. Further, the effectiveness may be expressed as frequency to be selected as dialogue information, and the number of times to be selected as dialogue information during guidance dialogue. Further, the validity may be configured to be associated according to the avatar as the speaker and the type of speech.
　図５２は、実施形態１８における選択ルールを更新するＡＩ（人工知能）の働きの概要を示す概念図である。本件対話式学習促進システムは、個人の特性を反映させたユーザ別対話情報選択ルールを保持している。ここに反映されるユーザごとの個人の特性は、会話の際の言葉遣いという対話情報の形式、学習状況情報に対応する対話情報の内容、対話情報の出力のタイミング、対話情報の出力間隔、誘導対話の並べ方、あきらめないプロセス（同一意図の対話情報の繰り返し）、対話情報を出力するアバターなどの選択などに反映されることになる。図に示すように、ユーザＸ（５２０１）について、学習状況情報Ａ（５２０２）のとき、「明日の小テストの対策をしましょう」という対話情報を選択するルール１（５２０３）、学習状況情報Ｂ（５２０４）のとき、「夕飯の前に一勉強しませんか？」という対話情報を選択するルール２（５２０５）、学習状況情報Ｃ（５２０６）のとき、「今日もお疲れ様。一休みしたら頑張ろう！」という対話情報を選択するルール３（５２０７）がユーザ別対話情報選択ルールとして保持されているとする。このとき、過去に取得したことのない学習状況情報Ｄ（５２０８）が取得されたとすると、学習状況情報Ｄと類似する学習状況情報に関するルールを組み合わせることによってユーザ別対話情報の選択を行うことになる。本図の例では、ある科目の学習連続日数が１２日違う以外、学習状況情報Ｃとその他の数値が一致していることから、類似する学習状況情報として学習状況情報Ｃに対して選択される対話情報に類似した対話情報である、「一休みしたらちょっと勉強しよう！」という対話情報（５２０９）を選択して出力する。出力された対話情報に対して、「問３回答間違い」（５２１０）との学習効果情報が取得された場合、ユーザは一問分しか学習しておらず（学習履歴情報）、かつ不正解のまま終了していることが認められる。対話情報に応じて学習したことが認められるものの、その内容が不十分であり、学習意欲が十分に刺激されて高まらなかったことが認められるため、選択した学習対話情報の有効性は低かったものと認められ、学習対話情報有効性判断結果として２点が得られる（５２１１）。この学習対話情報有効性判断結果を受けて、学習状況情報Ｄが取得された時には、「一休みしたら、勉強を頑張ろうね！」という対話情報を選択する新しいルール（５２１２）が取得されることになり、更新ユーザ別対話情報選択ルールが取得され、ユーザ別対話情報選択ルール保持部に保持されているユーザ別対話情報選ルールが更新される。 FIG. 52 is a conceptual diagram showing an outline of an operation of AI (Artificial Intelligence) for updating a selection rule in the eighteenth embodiment. The present interactive learning promotion system holds user-specific dialogue information selection rules reflecting personal characteristics. The individual characteristics of each user reflected here are the form of dialogue information such as wording in conversation, the contents of dialogue information corresponding to learning status information, the timing of outputting dialogue information, the output interval of dialogue information, guidance It will be reflected in the arrangement of the dialogue, the process which does not give up (the repetition of the dialogue information of the same intention), the choice of the avatar etc which outputs dialogue information, etc. As shown in the figure, for user X (5201), in the case of learning status information A (5202), rule 1 (5203) for selecting dialogue information "let's take measures for tomorrow's quiz", learning status information B In case of (5204), Rule 2 (5205) to select dialogue information "Do you study one before dinner?", And in case of learning situation information C (5206), "Today thank you. Let's do our best if we take a break! It is assumed that the rule 3 (5207) for selecting the dialogue information “is held as the user-by-user dialogue information selection rule. At this time, if learning status information D (5208) which has not been acquired in the past is acquired, selection of user-by-user dialogue information is performed by combining rules relating to learning status information similar to the learning status information D. . In the example of this figure, since the learning situation information C and the other numerical values are identical except that the number of consecutive days for learning of a certain subject differs by 12 days, it is selected for the learning situation information C as similar learning situation information. It selects and outputs dialogue information (5209) "Let's study for a while!" Which is dialogue information similar to the dialogue information. When the learning effect information of “Q3 answer mistake” (5210) is acquired for the outputted dialogue information, the user has learned only one question (learning history information) and is incorrect It is recognized that it is finished. Although it was recognized that learning was performed according to the dialogue information, it was recognized that the content was insufficient and the motivation to learn was stimulated sufficiently and did not increase, so the effectiveness of the selected learning dialogue information was low It is recognized that two points are obtained as a result of the learning dialogue information validity judgment (5211). When the learning situation information D is obtained based on the learning dialogue information validity judgment result, a new rule (5212) is selected to select the dialogue information saying "If you take a break, let's do our best!" Thus, the per-update user dialogue information selection rule is acquired, and the per-user dialogue information selection rule held in the per-user dialogue information selection rule holding unit is updated.
　＜実施形態１８　ハードウェア構成＞
　図５３は実施形態１８のハードウェア構成を示す図である。この図にあるように本発明は、基本的に汎用コンピュータとプログラム、各種デバイスで構成することが可能である。コンピュータの動作は基本的に不揮発性メモリに記録されているプログラムやデータを主メモリにロードして、主メモリとＣＰＵと各種デバイスとで処理を実行していく形態をとる。デバイスとの通信は、バス線と繋がったインターフェイスを介して行われる。この図にあるように実施形態１８のハードウェアを構成するプログラムのうち、実施形態１５から実施形態１７のいずれか一と共通の動作をするプログラムについては説明を省略する。本実施形態で新たに加わる、「学習ユーザ別対話情報選択ルール更新プログラム」は、対話情報の有効性に応じてユーザ別対話情報選択ルールを更新する。プログラムのより詳細な動作は各構成の説明で記載される動作を実現するものであり詳細はそちらを参照のこと。これら不揮発性メモリからメインメモリにコピーされた一連のプログラムの実行命令に基づいてこれらのプログラムが順次又は常時実行される。なお、データとしては、ユーザ識別情報（場合によりこれに関連付けられるユーザ属性情報）、外部情報（ＳＮＳユーザ関連情報を含む）、学習履歴情報、学習効果情報、学習分析ルール、学習状況情報、対話情報、ユーザ別対話情報選択ルール、選択した対話情報、学習有効性判断ルール、学習有効性判断結果、更新ユーザ別対話情報選択ルール、図示しない通信など各種の設定情報等が不揮発性メモリに保持され、主メモリにロードされ、一連のプログラム実行に際して参照され、利用される。 Eighteenth Embodiment Hardware Configuration
FIG. 53 is a diagram showing the hardware configuration of the eighteenth embodiment. As shown in this figure, the present invention can basically be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. Among the programs constituting the hardware of the eighteenth embodiment as shown in this figure, the description of the programs having the same operation as any one of the fifteenth to seventeenth embodiments will be omitted. The "learning user classified dialogue information selecting rule update program" newly added in the present embodiment updates the user classified dialogue information selecting rule according to the validity of the dialogue information. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory. As data, user identification information (user attribute information associated with it in some cases), external information (including SNS user related information), learning history information, learning effect information, learning analysis rules, learning status information, dialogue information The non-volatile memory holds various setting information, such as user-specific dialogue information selection rules, selected dialogue information, learning validity judgment rules, learning validity judgment results, update user-specific dialogue information selection rules, and communication not shown, It is loaded into the main memory, referred to, and used when executing a series of programs.
　＜実施形態１８　処理の流れ＞
　図５４は、実施形態１８の処理の流れの一例を示す図である。この図に示すように、第一学習ユーザ識別情報保持ステップ（５４０１）、第一学習ＳＮＳユーザ関連情報取得ステップ（５４０２）、第一学習履歴情報取得ステップ（５４０３）、第一学習効果情報取得ステップ（５４０４）、第一学習分析ルール保持ステップ（５４０５）、第一学習状況情報分析取得ステップ（５４０６）、第一学習対話情報蓄積ステップ（５４０７）、第一学習ユーザ別対話情報選択ルール保持ステップ（５４０８）、第一学習対話情報選択ステップ（５４０９）、第一学習対話情報出力ステップ（５４１０）、学習有効性判断ルール保持ステップ（５４１１）、学習対話情報有効性判断ステップ（５４１２）、有効性判断結果に基づいてユーザ別対話情報選択ルールを更新する学習ユーザ別対話情報選択ルール更新ステップ（５４１３）と、からなる。 <Flow of the eighteenth embodiment>
FIG. 54 is a diagram illustrating an example of a process flow of the eighteenth embodiment. As shown in this figure, the first learning user identification information holding step (5401), the first learning SNS user related information acquiring step (5402), the first learning history information acquiring step (5403), the first learning effect information acquiring step (5404), first learning analysis rule holding step (5405), first learning situation information analysis acquiring step (5406), first learning dialogue information storing step (5407), first learning user classified dialogue information selecting rule ( 5408), the first learning dialogue information selecting step (5409), the first learning dialogue information outputting step (5410), the learning effectiveness judgment rule holding step (5411), the learning dialogue information validity judging step (5412), the validity judgment Update the dialog information selection rule by learning user to update the dialog information selection rule by user based on the result And step (5413), consisting of.
　＜実施形態１９＞
　＜実施形態１９　発明の概要＞
　実施形態１９の対話式学習促進システムは、実施形態１７又は実施形態１７を基本とする実施形態１８の特徴に加えて、統計的対話情報有効性情報に基づいてユーザ別対話情報選択ルール保持部に保持されているユーザ別対話情報選択ルールを更新することを特徴とする。 The nineteenth embodiment
<Outline of the nineteenth embodiment>
The interactive learning promotion system according to the nineteenth embodiment has the feature of the seventeenth embodiment or the eighteenth embodiment based on statistical dialog information validity information in addition to the features of the eighteenth embodiment based on the seventeenth embodiment or the seventeenth embodiment. It is characterized in that the user-by-user dialogue information selection rule held is updated.
　＜実施形態１９　発明の構成＞
　図５５は、実施形態１９の対話式学習促進システムの構成の一例を示す図である。図５５に示すように、実施形態１９の対話式学習促進システムは、第一学習ユーザ識別情報保持部（５５０１）、第一学習ＳＮＳユーザ関連情報取得部（５５０２）、第一学習履歴情報取得部（５５０３）、第一学習効果情報取得部（５５０４）、第一学習分析ルール保持部（５５０５）、第一学習状況情報分析取得部（５５０６）、第一学習対話情報蓄積部（５５０７）、第一学習ユーザ別対話情報選択ルール保持部（５５０８）、第一学習対話情報選択部（５５０９）、第一学習対話情報出力部（５５１０）、学習有効性判断ルール保持部（５５１１）、学習対話情報有効性判断部（５５１２）、学習有効性統計処理ルール保持手段（５５１３）、学習統計的対話情報有効性情報取得手段（５５１４）、学習統計的ユーザ別対話情報選択ルール更新部（５５１５）と、からなる。本実施形態では、実施形態１７又は実施形態１８との共通の構成の説明は省略し、本実施形態に特有の構成についてのみ説明する。 Embodiment 19 Configuration of the Invention
FIG. 55 is a diagram showing an example of the configuration of the interactive learning promotion system of the nineteenth embodiment. As shown in FIG. 55, the interactive learning promoting system of the nineteenth embodiment includes a first learning user identification information holding unit (5501), a first learning SNS user related information acquiring unit (5502), and a first learning history information acquiring unit. (5503), first learning effect information acquiring unit (5504), first learning analysis rule holding unit (5505), first learning status information analysis acquiring unit (5506), first learning dialogue information storage unit (5507), First learning dialogue information selection rule holding unit (5508), first learning dialogue information selecting unit (5509), first learning dialogue information output unit (5510), learning effectiveness judgment rule holding unit (5511), learning dialogue information Validity judgment unit (5512), learning effectiveness statistical processing rule holding means (5513), learning statistical dialogue information effectiveness information acquiring means (5514), learning statistical user-specific dialogue information selection Lumpur updating section (5515), consisting of. In the present embodiment, the description of the configuration common to the seventeenth embodiment or the eighteenth embodiment is omitted, and only the configuration unique to the present embodiment will be described.
　＜実施形態１９　学習統計的ユーザ別対話情報選択ルール更新部＞
　「学習統計的ユーザ別対話情報選択ルール更新部」は、取得した統計的対話情報有効性情報に基づいてユーザ別対話情報選択ルール保持部に保持されているユーザ別対話情報選択ルールを更新する。他の点は実施形態１８と同様である。 <Embodiment 19: Learning statistical user-specific dialogue information selection rule updating unit>
The “learning statistical user-by-user dialogue information selection rule updating unit” updates the by-user dialogue information selection rule held in the by-user dialogue information selection rule holding unit on the basis of the acquired statistical dialogue information validity information. The other points are the same as in the eighteenth embodiment.
　＜実施形態１９　ハードウェア構成＞
　図５６は実施形態１９のハードウェア構成を示す図である。この図にあるように本発明は、基本的に汎用コンピュータとプログラム、各種デバイスで構成することが可能である。コンピュータの動作は基本的に不揮発性メモリに記録されているプログラムやデータを主メモリにロードして、主メモリとＣＰＵと各種デバイスとで処理を実行していく形態をとる。デバイスとの通信は、バス線と繋がったインターフェイスを介して行われる。この図にあるように実施形態１９のハードウェアを構成するプログラムのうち、実施形態１７又は実施形態１７を基本とする実施形態１８のいずれか一と共通の動作をするプログラムについては説明を省略する。本実施形態で新たに加わる、「学習統計的ユーザ別対話情報選択ルール更新プログラム」は、学習統計的対話情報有効性情報に基づいてユーザ別対話情報選択ルールを更新する。プログラムのより詳細な動作は各構成の説明で記載される動作を実現するものであり詳細はそちらを参照のこと。これら不揮発性メモリからメインメモリにコピーされた一連のプログラムの実行命令に基づいてこれらのプログラムが順次又は常時実行される。なお、データとしては、ユーザ識別情報（場合によりこれに関連付けられるユーザ属性情報）、外部情報（ＳＮＳユーザ関連情報を含む）、学習履歴情報、学習効果情報、学習分析ルール、学習状況情報、対話情報、ユーザ別対話情報選択ルール、選択した対話情報、学習有効性判断ルール、学習有効性判断結果、学習有効性統計処理ルール、学習統計的対話情報有効性情報、更新ユーザ別対話情報選択ルール、図示しない通信など各種の設定情報等が不揮発性メモリに保持され、主メモリにロードされ、一連のプログラム実行に際して参照され、利用される。 Embodiment 19 Hardware Configuration
FIG. 56 is a diagram showing the hardware configuration of the nineteenth embodiment. As shown in this figure, the present invention can basically be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. Among the programs constituting the hardware of the nineteenth embodiment as shown in this figure, the description of the programs having the same operation as any one of the seventeenth embodiment or the eighteenth embodiment based on the seventeenth embodiment will be omitted. . The “learning statistical user-by-user dialogue information selection rule updating program” newly added in the present embodiment updates the user-by-user dialogue information selection rule based on learning statistical dialogue information validity information. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory. As data, user identification information (user attribute information associated with it in some cases), external information (including SNS user related information), learning history information, learning effect information, learning analysis rules, learning status information, dialogue information User-specific dialogue information selection rules, selected dialogue information, learning effectiveness judgment rules, learning effectiveness judgment results, learning effectiveness statistical processing rules, learning statistical dialogue information validity information, update user-specific dialogue information selection rules, Various setting information and the like such as non-communication are held in the non-volatile memory, loaded into the main memory, and referred to and used in executing a series of programs.
　＜実施形態１９　処理の流れ＞
　図５７は、実施形態１９の処理の流れの一例を示す図である。この図に示すように、第一学習ユーザ識別情報保持ステップ（５７０１）、第一学習ＳＮＳユーザ関連情報取得ステップ（５７０２）、第一学習履歴情報取得ステップ（５７０３）、第一学習効果情報取得ステップ（５７０４）、第一学習分析ルール保持ステップ（５７０５）、第一学習状況情報分析取得ステップ（５７０６）、第一学習対話情報蓄積ステップ（５７０７）、第一学習ユーザ別対話情報選択ルール保持ステップ（５７０８）、第一学習対話情報選択ステップ（５７０９）、第一学習対話情報出力ステップ（５７１０）、学習有効性判断ルール保持ステップ（５７１１）、対話情報有効性判断ステップ（５７１２）、学習有効性統計処理ルール保持サブステップ（５７１３）、学習統計的対話情報有効性情報取得サブステップ（５７１４）、統計的対話情報有効性情報に基づいてユーザ別対話情報選択ルールを更新する学習統計的ユーザ別対話情報選択ルール更新ステップ（５７１５）と、からなる。 <The flow of the nineteenth embodiment>
FIG. 57 is a diagram illustrating an example of a process flow of the nineteenth embodiment. As shown in this figure, the first learning user identification information holding step (5701), the first learning SNS user related information acquiring step (5702), the first learning history information acquiring step (5703), the first learning effect information acquiring step (5704), the first learning analysis rule holding step (5705), the first learning situation information analysis acquiring step (5706), the first learning dialogue information storing step (5707), the first learning user classified dialogue information selection rule ( 5708), the first learning dialogue information selecting step (5709), the first learning dialogue information outputting step (5710), the learning effectiveness judgment rule holding step (5711), the dialogue information validity judging step (5712), the learning effectiveness statistics Processing rule holding substep (5713), learning statistical dialogue information validity information acquisition substep 5714), and learning statistical user-specific interaction information selection rule update step (5715) for updating the user-specific interaction information selection rule based on statistical interactive information validity information it consists.
　＜実施形態２０＞
　＜実施形態２０　発明の概要＞
　　実施形態２０は、実施形態１２を方法的に記載した発明であり、基本的には実施形態１２の発明の糧どりをコンピュータの動作方法として表現したものである。 Embodiment 20
<Outline of the twentieth embodiment>
The twentieth embodiment is an invention in which the twelfth embodiment is described in a methodological manner, and basically, the concept of the twelfth embodiment of the present invention is expressed as a computer operation method.
　＜実施形態２０　発明の構成＞
　本実施形態の対話式学習促進システムは、図７９に示すように、ユーザのＳＮＳ関連情報を取得する学習ＳＮＳユーザ関連情報取得ステップ（７９０１）、ユーザが利用する外部の学習システムからユーザの学習履歴情報を取得する学習履歴情報取得ステップ（７９０２）、ユーザが利用する外部の学習システムからユーザの学習効果情報を取得する学習効果情報取得ステップ（７９０３）、学習分析ルールに基づいた分析により学習状況情報を取得する学習状況情報分析取得ステップ（７９０４）、蓄積された対話情報の中から、学習状況情報とユーザ別対話情報選択ルールに基づいて出力する対話情報を選択する学習対話情報選択ステップ（７９０５）、選択した対話情報を出力する学習対話情報出力ステップ（７９０６）と、からなる。 <Embodiment 20: Configuration of the Invention>
In the interactive learning promotion system according to the present embodiment, as shown in FIG. 79, the learning SNS user related information acquiring step (7901) for acquiring the SNS related information of the user, the learning history of the user from the external learning system used by the user. Learning history information acquisition step (7902) of acquiring information, learning effect information acquisition step (7903) of acquiring learning effect information of the user from an external learning system used by the user, learning situation information by analysis based on a learning analysis rule Learning situation information analysis acquiring step (7904) of acquiring, learning dialogue information selecting step (7905) of selecting dialogue information to be output based on the learning situation information and the dialogue information selection rule by user among the accumulated dialogue information The learning dialogue information output step (7906) for outputting the selected dialogue information
　＜実施形態２１＞
　＜実施形態２１　発明の概要＞
　実施形態２１は、実施形態１２を方法的に記載した発明であり、基本的には実施形態１２の発明のカテゴリをコンピュータの動作方法として表現したものである。 The twenty-first embodiment
<Outline of the twenty-first embodiment>
The twenty-first embodiment is an invention which describes the method of the twelfth embodiment, and basically the category of the invention of the twelfth embodiment is expressed as an operation method of a computer.
　＜実施形態２１　発明の構成＞
　実施形態２１に示す対話式学習促進システムの動作プログラムの構成は、図７９に示す構成と同様である。各構成の説明については、実施形態２０で説明済みのため、省略する。 Embodiment 21: Configuration of the Invention
The configuration of the operation program of the interactive learning promotion system shown in the twenty-first embodiment is the same as the configuration shown in FIG. The description of each configuration is omitted since it has been described in the twentieth embodiment.
　＜実施形態２２＞
　＜実施形態２２　発明の概要＞
　実施形態２２の対話式購入促進システムは、ＳＮＳでのユーザの発言情報や閲覧情報に加えて、購買履歴情報や宣伝広告発信履歴情報を用いて、ユーザの購買に向けた意欲の高まりを示す購入状況情報を取得し、ユーザの現在の購入に向けた動機の程度である購入状況にあった対話を前記ＳＮＳに出力することで、ユーザの購買動機を強めることを目的とする。 Embodiment 22
<Embodiment 22 Outline of the Invention>
The interactive purchase promotion system according to the twenty-second embodiment uses the purchase history information and the advertisement transmission history information in addition to the user's speech information and browsing information in the SNS, and uses the purchase history to show the increased motivation toward the user's purchase. An object of the present invention is to strengthen the user's purchase motivation by acquiring situation information and outputting to the SNS a dialogue in accordance with the purchase status which is the degree of motivation towards the user's current purchase.
　図５８は、対話式購入促進システムと各種ＳＮＳと宣伝広告等の関係を示すイメージ概念図である。日常的にＳＮＳ１（５８０２ａ）及びＳＮＳ２（５８０２ｂ）を利用してコミュニケーションをとっているあるユーザ（５８０１）が、本対話式購入促進システム（５８０３）を利用するＳＮＳとしてＳＮＳ２を指定した場合には、本対話式購入促進システムはＳＮＳ２を通じて対話情報を出力する（５８０４）。本対話式購入促進システムは、ＳＮＳ１を通じて取得できるＳＮＳユーザ関連情報（５８０５ａ）及び／又はＳＮＳ２を通じて取得できるＳＮＳユーザ関連情報（５８０５ｂ）に加えて、ユーザがパソコン等を通じて閲覧した商品に関する情報（５８０６）、企業がユーザに対して提供した宣伝広告に関する宣伝広告発信履歴情報（５８０７）等を取得する。さらに、ユーザが実際に販売店を訪問したライフログ情報（５８０９）等を取得するように構成してもよい（実施形態２３）。 FIG. 58 is an image conceptual diagram showing the relationship between an interactive purchase promotion system, various SNS, advertisement and the like. When a user (5801) who is communicating on SNS1 (5802a) and SNS2 (5802b) on a daily basis designates SNS2 as SNS using this interactive purchase promotion system (5803), The interactive purchase promotion system outputs dialogue information through the SNS 2 (5804). In addition to SNS user related information (5805a) that can be acquired through SNS1 and / or SNS user related information (5805b) that can be acquired through SNS2, this interactive purchase promotion system is information (5806) about goods that the user browsed through a personal computer etc. , The advertisement advertisement transmission history information (5807) etc. regarding the advertisement provided to the user by the company is acquired. Furthermore, the user may be configured to acquire life log information (5809) or the like at which the user actually visited the store (Embodiment 23).
　図５９は、対話式購入促進システムがあるユーザに対して購買促進アドバイスを行う際のイメージ概念図である。対話式購入促進システム（５９０１）は、対話式購入促進システムに登録したユーザ（５９０２）が、日常的にＳＮＳ等を利用して発信している会話情報（「そろそろ車を買い替えたいな」「次もＴの車かな」「Ｂの車も気になるな」「週末見に行こう。」等）や、閲覧している第三者の発言に関する情報（新作自動車の関連記事を閲覧、車の買取査定のお試し計算を確認、複数の自動車会社からのＤＭ等）等のユーザ固有の情報（５９０３）を自動的に取得（５９０４）する。取得した情報を分析（５９０５）することで、購入状況情報（５９０６）を取得する。本対話式購入促進システムは、取得した購入状況情報から、背景目的を決定して目的達成のための適切な対話情報を選択する。例えば、ユーザに継続して同種の車の購買を行わせたい場合には、目的達成のための適切な対話情報として、「こんばんは！新しいＴの車見た？前よりもさらに乗り心地が良くなって、車内空間が開放的らしいよ。アメリカでもすごく人気で、発注から納品に１か月かかるんだって。幸い、日本ではそんなに待たないみたいだけど、そのうち品薄になりそうな予感。今度の試乗で決断出来たら安心だね！」といったように、ＳＮＳを利用してユーザに適した口調で対話情報（５９０７）を、ユーザの所有する対話式購入促進システムとの対話を受信する形態端末に出力する（５９０８）。 FIG. 59 is an image conceptual diagram when performing purchase promotion advice to a user who has an interactive purchase promotion system. The interactive purchase promotion system (5901) is a conversation information transmitted by the user (5902) registered in the interactive purchase promotion system using SNS etc. on a daily basis ("I want to buy a car soon." Information on the remarks of the new car (viewing related articles of new cars, car's car, etc.) Confirm the trial calculation of the purchase assessment, automatically acquire (5904) user-specific information (5903) such as DM from multiple automobile companies. The purchase status information (5906) is obtained by analyzing (5905) the obtained information. The interactive purchase promotion system determines the background purpose from the acquired purchase status information and selects appropriate dialogue information for achieving the purpose. For example, if you want the user to purchase the same kind of car continuously, as appropriate dialogue information for achieving the purpose, "Good evening! New T car seen? Comfortability is better than before It seems that the space inside the car is open, it's very popular in the US, and it takes one month to deliver from ordering. Luckily, it seems like you don't want to wait so much in Japan, but it seems that it will soon become scarce. It is safe to do if you can do it, and outputs the dialogue information (5907) to the form terminal that receives the dialogue with the interactive purchase promotion system owned by the user in a tone suitable for the user using the SNS, etc. ( 5908).
　対話式購入促進システムは、第一の特徴として、ユーザの購入状況の分析に、ＳＮＳでの発言等の外部情報と企業側が有する宣伝広告発信履歴やユーザの購入履歴を用いている。次に、第二の特徴として、取得した外部情報等分析して、ユーザの「購入意欲」を分析して、「現在の購入状況情報」を分析取得している。さらに、第三の特徴として、分析取得した「現在の購入状況情報」から最適なアドアイス等の対話情報の内容を選択して、ユーザが普段から慣れ親しんでいる又は説得されやすい口調に合わせて最適な口調を用いて選択したアドバイス内容である対話情報を出力する。 As a first feature, the interactive purchase promotion system uses external information such as an utterance on SNS, advertisement advertisement transmission history possessed by a company and purchase history of a user for analyzing the purchase status of the user. Next, as a second feature, the acquired external information and the like are analyzed to analyze the "purchase intention" of the user, thereby analyzing and acquiring the "current purchase status information". Furthermore, as the third feature, the contents of dialogue information such as optimal ad ice are selected from the "current purchase status information" obtained by analysis, and the user is most suitable in accordance with the familiar or persuasive tone The dialogue information which is the content of the advice selected using the tone is output.
＜実施形態２２　発明の構成＞
　図６０は、実施形態２２の対話式購入促進システムの構成の一例を示す図である。図６０に示すように、実施形態２１の対話式購入促進システムは、第一購買ユーザ識別情報保持部（６００１）、第一購買ＳＮＳユーザ関連情報取得部（６００２）、第一購買履歴情報取得部（６００３）、第一購買宣伝広告発信履歴情報取得部（６００４）、第一購買分析ルール保持部（６００５）、第一購買購入状況情報分析取得部（６００６）、第一購買対話情報蓄積部（６００７）、第一購買ユーザ別対話情報選択ルール保持部（６００８）、第一購買対話情報選択部（６００９）、第一購買対話情報出力部（６０１０）と、からなる。 Embodiment 22 Configuration of the Invention
FIG. 60 is a diagram showing an example of the configuration of the interactive purchase promotion system of the twenty-second embodiment. As shown in FIG. 60, the interactive purchase promotion system of the twenty-first embodiment includes a first purchase user identification information holding unit (6001), a first purchase SNS user related information acquisition unit (6002), and a first purchase history information acquisition unit. (6003), first purchase advertisement advertisement transmission history information acquisition unit (6004), first purchase analysis rule holding unit (6005), first purchase purchase status information analysis acquisition unit (6006), first purchase dialogue information storage unit (6003) 6007), a first purchase user classified dialogue information selection rule holding unit (6008), a first purchase dialogue information selection unit (6009), and a first purchase dialogue information output unit (6010).
＜実施形態２２　構成の説明＞
＜実施形態２２　第一購買ユーザ識別情報保持部＞
　「第一購買ユーザ識別情報保持部」は、ＳＮＳを利用し、特定商品の購買履歴を有するユーザを識別するユーザ識別情報を保持する。「特定商品」とは、本対話式購入促進システムにて購買促進を狙う商品であり、「商品」とは本明細書において商品のみ、サービスのみ、商品およびサービスのいずれでもよいものとする。商品には市場を流通する商品の他に市場を流通しない商品、例えば建築物や不動産、美術工芸品、一点ものの絵画、彫刻、民芸品、骨とう品なども含まれ、サービスには、一般になされるサービスの他、映画の上映、演劇の上演、情報の提供、コンサルティング、マーケティング、医師による治療、保険適用外の意思による処置、運送、運搬、運輸、発電、送電など各種のサービスが含まれる。ユーザ識別情報は、本対話式購入促進システム内でユーザを識別できればよいが、ユーザの識別は、特定商品ごとに行うように構成してもよい。ユーザ識別情報に関連付けて、氏名、住所、電話番号、メールアドレス、ユーザが特別に設定するＩＤ、生年月日、職業、年齢、性別、などを保持するのが一般的であり、さらに健康に関連するユーザの肉体的な情報等（例えば、身長、体重、平均体温、平均時脈拍数、平均時呼吸数、平均時心拍数、平均時運動量（時間、質、態様等）、ジム通いの有無）といった情報の一以上が保持されていてもよい。本対話式購入促進システムでは、上記ユーザの肉体的な情報に加えて、又はこれに替えて、ユーザが購入履歴を有する特定商品を識別する情報、ユーザの購買に関連する情報である現在所有している又は利用している特定商品に代替可能性がある商品や商品の種類、現在利用の商品の購入時期、収入、借入状況、利用しているクレジットカード（カード番号を含む）、保有している株式情報、保有している仮想通貨（種別、額）、利用している銀行（口座番号）、家族構成、交友関係、勤務先、勤続年数、勤務先での役職、勤務先業種、通学先、勤務地、通学地、通勤ルート、通学ルート、出身学校、前の勤務先、通勤利用交通機関、通学利用交通機関、自宅最寄り駅、勤務時間、休日、趣味・嗜好（食べ物、飲み物、服装、音楽、映画、読書、香水、色、時計、車、パソコン、家電メーカー、ブランド、遊び、コレクション、ヘアスタイル、ネイル、アクセサリ、たばこ、ゲーム、スポーツ、放送局、テレビ番組、ラジオ番組、タレント・芸能人などの一以上）、購読情報（新聞、雑誌、週刊誌、機関紙）、特定商品と代替可能性がない所有商品の情報、商品カテゴリごとの平均購入価格帯、訪問店舗（商品・サービスの購入の有無を関連付けて）識別情報、訪問店舗での接客情報（話した内容、対応した人）などの一以上が含まれていてもよい。ユーザの身体的な状態を示すライフログとして、心拍数、脈拍数、呼吸数、体温、筋肉の収縮・弛緩の度合い、脳波、血流速度、血中酸素濃度、血中アルコール量、アレルギー反応の程度、疲労物質の蓄積の程度、等の一以上を含むように構成してもよい。これらは、身体に装着しており身体の状態を測定可能なウエアラブル端末や、身体に身に着けてはいないが通信機能を有する身体データ測定装置などから取得する。または、通信でないが可搬型のメモリに収納された身体データを可搬型メモリ（例えばＵＳＢメモリ、ＩＣカード（ＲＦＩＤ機能を有するプリペイドカードなども含む）、可搬型ディスクドライブ、光記録媒体、磁器メモリなど）から取得することもできる。なお、プリペイドカードの場合には健康診断や、医師による治療の手数料支払い時に身体の状態に関する情報を受け取り、これを取得することで身体の状態を示すデータを取得できる。 <Description of the configuration of the twenty-second embodiment>
Embodiment 22 First Purchasing User Identification Information Holding Unit
The “first purchase user identification information holding unit” holds user identification information that identifies a user who has a purchase history of a specific product using the SNS. The "specific product" is a product for which purchase promotion is aimed at in the interactive purchase promotion system, and the "product" in the present specification may be either a product only, a service only, or a product or service. The products include not only marketed products but also non-marketed products such as buildings, real estate, arts and crafts, single point paintings, sculptures, handicrafts, antiques, etc. Other services include movie screenings, theater performances, information provision, consulting, marketing, medical treatment by doctors, medical treatment outside insurance coverage, transportation, transportation, transportation, power generation, power transmission, and various other services. The user identification information is only required to identify the user in the interactive purchase promotion system, but the identification of the user may be configured to be performed for each specific product. It is common to hold the name, address, telephone number, e-mail address, user-specified ID, date of birth, occupation, age, gender, etc. in relation to the user identification information, and it is related to health Information (eg, height, weight, average body temperature, average pulse rate, average respiratory rate, average heart rate, average exercise amount (time, quality, form etc.), presence or absence of gym visits, etc.) One or more of the information may be held. In this interactive purchase promotion system, in addition to or in place of the physical information of the user, information identifying a specific product for which the user has a purchase history, currently owned information that is information related to the user's purchase If you are using a specific product that you are or are using, the type of product or product that you may substitute, the purchase date of the product you are currently using, your income, the borrowing status, the credit card you are using (including the card number) Stock information, virtual currency (type, amount) held, bank (account number) used, family structure, friendship relationship, work place, length of service, job title at work place, work place industry, school destination , Place of work, place of commuting, commuting route, school route, school from school, previous work place, commuting transportation, commuting transportation, home nearest station, working hours, working hours, holidays, hobbies and preferences (food, drinks, clothes, Music, movies, reading , Perfume, color, clock, car, personal computer maker, brand, play, collection, hairstyle, nail, accessory, cigarette, game, sports, broadcasting station, TV program, radio program, one or more of talents, entertainers, etc.) , Subscription information (newspapers, magazines, weekly magazines, institutional papers), information on owned products that can not be substituted for specific products, average purchase price range for each product category, visiting store (relate the presence or absence of purchases of products and services ) One or more of identification information, customer service information at a visited store (spoken content, corresponding person) and the like may be included. The life log indicating the physical condition of the user includes heart rate, pulse rate, respiration rate, body temperature, degree of muscle contraction / relaxation, electroencephalogram, blood flow rate, blood oxygen concentration, blood alcohol content, allergic reaction It may be configured to include one or more of the degree, the degree of accumulation of the fatigue material, and the like. These are acquired from a wearable terminal worn on the body and capable of measuring the condition of the body, or a physical data measuring device which is not worn on the body but has a communication function. Alternatively, the portable memory (for example, USB memory, IC card (including a prepaid card having an RFID function), portable disk drive, optical recording medium, porcelain memory, etc.) which is stored in portable memory without communication but is portable It can also be obtained from In the case of a prepaid card, it is possible to obtain data indicating the physical condition by receiving information about the physical condition at the time of medical checkup and payment of a treatment fee by a doctor and acquiring this.
　ユーザ識別情報に関連付けて保持されるユーザ属性情報は、対話式購入促進システムの利用開始時にユーザ自身に登録させるように構成することもできる。この登録があってこの対話式購入促進システムが利用可能になるように構成することができる。さらにユーザ属性情報は、既にユーザが利用している他のシステムから移転ないしコピーして取得するように構成することもできる。例えば利用履歴がある店、百貨店、スーパー、ウエブ上の商品購入サイト、アプリケーションによる商品購入システム等のデータや、ユーザが利用している家計ソフト、ユーザが利用している税理士や公認会計士が管理するコンピュータシステム、ユーザが利用している電子マネーのシステムから取得する情報、ユーザが利用しているクレジットカードのシステムからの情報、トレーニングアプリ等の施設が保有するデータ等を利用できる。 The user attribute information held in association with the user identification information may be configured to be registered by the user at the start of use of the interactive purchase promotion system. With this registration, the interactive purchase promotion system can be configured to be available. Furthermore, the user attribute information can be configured to be transferred or acquired from another system already used by the user. For example, data such as a store having a usage history, a department store, a supermarket, a product purchase site on the web, a product purchase system based on an application, household finance software used by a user, tax administrator managed by a user Information obtained from a computer system, a system of electronic money used by a user, information from a system of credit card used by a user, data held by a facility such as a training application can be used.
　ユーザ属性情報の登録は、（１）購入履歴（又は、宣伝広告発信履歴や受信履歴）がある場合には最初の購入（又は、宣伝広告の閲覧、受信）、または、２回目以降の購入（又は、宣伝広告の閲覧、受信）に際してユーザ属性を登録するように構成ことができる。この登録は、購入（又は宣伝広告の閲覧）がネット経由の場合には、ネット経由にて登録するように構成することができる。２回目以降の購入に際してユーザ属性を登録した場合には、ウエブ経由の場合には、最初に購入（又は宣伝広告の閲覧、受信）した際の端末にクッキーを送信して、２回目以降の購入に際しての登録の際に、同じ端末の購入ウエブページのクッキーを介して記録してあったアクセス・購入実績を遡及的に購入履歴として記録するように構成することもできる。
　ただし、購入したネット自体が会員制ショッピングモール、クレジットカード会社のウエブショッピングのような場所で登録の場合には、ショッピングモールに登録した際の登録済みユーザ属性を流用可能である。さらにユーザ属性を流用する構成とする場合には、流用情報と新規の購入（宣伝広告の閲覧、受信）の際のユーザ属性登録事項をミックスしてユーザ属性とするように構成してもよい。さらに登録はウエブオフライン（はがき、手紙、電子メール等）でするように構成することも可能である。オフラインで登録する場合には、人による入力作業又は、機械的文字読み取りによる入力が行われるように構成することもできる。通販雑誌などの紙媒体の場合には、通販会員登録時にはがき、手紙、ウエブサイトなどからユーザ属性を登録するように構成することもできる。
　クレジットカード会社が行っている通信販売の場合も同様である。さらに、購入履歴がなく、宣伝広告にアクセスしただけのユーザのユーザ属性の登録は、宣伝広告のプッシュ通知の登録の際に宣伝広告の登録申し込みウエブ画面から登録、又は、メールによって登録するように構成してもよい。さらに宣伝広告を閲覧するコンピュータ内にクッキーを送信して、そのコンピュータ上で行われる各種情報取得や、コンピュータ内に保存されているユーザ属性を取得するように構成することもできる。ユーザ属性の登録は、宣伝広告のプッシュ通知登録等の後、商品購入があった場合には、さらに詳細なユーザ属性を登録して併せてユーザ属性とすることも可能である。 The registration of the user attribute information is (1) the first purchase (or the viewing and receiving of the advertisement) if there is a purchase history (or the advertisement advertisement sending history or the reception history), or the second or later purchase ( Alternatively, the user attribute can be registered at the time of viewing and receiving the advertisement. This registration can be configured to be registered via the Internet if the purchase (or browsing of the advertisement) is via the Internet. When the user attribute is registered for the second and subsequent purchases, in the case of via the web, the cookie is transmitted to the terminal at the time of the first purchase (or viewing and receiving of the advertisement), and the second and subsequent purchases At the time of registration, it is also possible to configure to record retrospectively access / purchase results recorded via the cookie of the purchase web page of the same terminal as purchase history.
However, in the case where the purchased net itself is registered at a place such as a member-oriented shopping mall or web shopping of a credit card company, it is possible to divert the registered user attribute when registered in the shopping mall. Furthermore, in the case of using a configuration in which user attributes are diverted, user attribute registration items at the time of diversion information and new purchase (browse and reception of advertisement) may be mixed and used as user attributes. Furthermore, the registration can be configured to be web off-line (postcard, letter, e-mail, etc.). In the case of offline registration, it may be configured to be input by a human input operation or by mechanical character reading. In the case of a paper medium such as a mail order magazine, the user attribute may be registered from a letter, a web site, etc., at the time of mail order membership registration.
The same is true for mail order services made by credit card companies. Furthermore, there is no purchase history, and registration of the user attribute of the user who only accesses the advertisement can be registered from the advertisement registration registration application web screen or registered by mail when registering the push notification of the advertisement. It may be configured. Furthermore, it is possible to transmit a cookie to a computer that browses an advertisement, thereby acquiring various information performed on the computer and acquiring a user attribute stored in the computer. The registration of the user attribute can also be made by registering a more detailed user attribute and combining it as the user attribute, when there is a product purchase after the push notification registration of advertisement and the like.
＜実施形態２２　第一購買ＳＮＳユーザ関連情報取得部＞
　「第一購買ＳＮＳユーザ関連情報取得部」は、ユーザ識別情報と関連付けてユーザが利用するＳＮＳの発言を含むユーザ関連情報であるＳＮＳユーザ関連情報を外部情報として取得する。ここで、「ＳＮＳユーザ関連情報」及び「ＳＮＳ」の定義については、対話式健康促進システムに関する実施形態１において説明済である。 <Embodiment 22 first purchase SNS user related information acquisition unit>
The “first purchase SNS user related information acquisition unit” acquires, as external information, SNS user related information which is user related information including the utterance of the SNS used by the user in association with the user identification information. Here, the definitions of “SNS user related information” and “SNS” have been described in the first embodiment regarding the interactive health promotion system.
＜実施形態２２　第一購買履歴情報取得部＞
　「第一購買履歴情報取得部」は、ユーザ識別情報と関連付けて前記特定商品の購買履歴を示す情報である購買履歴情報を取得する。購買履歴情報は、ユーザが前記特定商品を過去に購入したときの購入時点、購入価格、購入店舗情報、現在の商品の買取査定価格情報に加え、本対話式購入促進システムから対話情報を出力していこう特定商品の購入を行ったさいの購入日時、購入価格、購入先店舗の情報も含まれる。購買履歴情報は、購買先の店舗、すなわち本システムの利用を通じてユーザに特定商品の購入に向けてのアプローチを実践している企業等から提供されることが考えられる。また購買履歴情報にはＮ回目の購入はしたが、Ｎ＋１回目のいまだに購入していない情報も含まれるものとする。例えば購入の前段階で特定商品等の販売者や製造者との間でされるユーザの行為である。 Embodiment 22 First Purchase History Information Acquisition Unit
The “first purchase history information acquisition unit” acquires purchase history information that is information indicating the purchase history of the specific product in association with the user identification information. The purchase history information is output from the interactive purchase promotion system in addition to the purchase point when the user purchased the specific product in the past, the purchase price, the purchase store information, and the purchase assessment price information of the current product. The date and time of purchase when purchasing a specific product, purchase price, and information on the store where the purchase is made are also included. It is conceivable that purchase history information is provided from a shop of a purchaser, that is, a company or the like who practices an approach for purchasing a specific product to the user through the use of the present system. Further, it is assumed that the purchase history information includes information that has been purchased for the Nth time but not yet purchased for the N + 1th time. For example, it is an action of a user performed with a seller or manufacturer of a specific product or the like at the pre-purchase stage.
＜実施形態２２　第一購買宣伝広告発信履歴情報取得部＞
　「第一購買宣伝広告発信履歴情報取得部」は、ユーザ識別情報と関連づけてユーザが接した可能性がある前記特定商品の宣伝広告の発信履歴である宣伝広告発信履歴情報を取得する。「宣伝広告発信履歴情報」とは、特定商品の宣伝のために発信された情報の履歴である。したがって、例えばテレビＣＭ、新聞広告、雑誌広告、ラジオＣＭ、車内広告、新聞折込チラシ、ＤＭ、ＳＮＳ発信ニュース、プレスリリース情報、社内報、会社ＨＰ、雑誌特集記事、テレビ番組の特集、イベント等、様々な情報が考えられる。宣伝広告発信履歴は、ユーザを特定して発信されるものも、不特定の者に向けて発信されるものも含まれる。これらの宣伝広告活動に関連する情報を、主にユーザが利用しているＳＮＳを搭載している携帯端末、デスクトップＰＣ、タブレット端末、ノートＰＣや、ユーザ識別情報に関連付けられているユーザ属性情報、すでに購買履歴がある企業のサーバ（ＤＭ履歴に関する情報を保持するもの）などの情報閲覧・視聴履歴から宣伝広告発信履歴情報として取得する。取得はタグ、画像の自動認識、含まれる文字、含まれる写真、含まれる音声、含まれるＵＲＬ、含まれる放送番組ＩＤなどから自動認識して取得することができる。これは確定的な情報と推定情報とからなる。また推定情報の確度を向上するために対話情報としてＳＮＳを通じて宣伝広告を視聴したか問う構成とすることも可能である。 <Embodiment 22 first purchase advertisement advertisement transmission history information acquisition unit>
The “first purchase advertisement advertisement transmission history information acquisition unit” acquires advertisement advertisement transmission history information which is a transmission history of advertisement of the specific product which may be touched by the user in association with the user identification information. The "advertising advertisement transmission history information" is a history of information transmitted for the promotion of a specific product. Therefore, for example, TV commercials, newspaper ads, magazine ads, radio CMs, in-car ads, newspaper insert flyers, DM, SNS outgoing news, press releases, company bulletins, company HP, magazine feature articles, TV program features, events etc Various information can be considered. The advertisement advertisement transmission history includes those which are transmitted specifying users and those which are transmitted to unspecified persons. User attribute information associated with a mobile terminal, a desktop PC, a tablet terminal, a notebook PC, or user identification information equipped with an SNS where the user mainly uses information related to such advertising and advertising activities. It is acquired as advertisement advertisement transmission history information from information browsing / viewing history such as a server of a company that already has a purchase history (one that holds information related to the DM history). The acquisition can be performed automatically from the tags, the automatic recognition of the image, the included characters, the included photos, the included voices, the included URLs, the included broadcast program IDs and the like. This consists of deterministic information and estimated information. In addition, in order to improve the accuracy of the estimation information, it may be configured to ask whether the advertisement has been viewed through the SNS as dialogue information.
＜実施形態２２　第一購買分析ルール保持部＞
　「第一購買分析ルール保持部」は、ユーザ識別情報と関連付けて外部情報と、購買履歴情報と、宣伝広告発信履歴情報と、を購買状況の把握の観点で分析して購入状況情報を取得するためのルールである第一購買分析ルールを保持する。第一購買分析ルールは、ユーザ識別情報と関連付けられているので、ユーザの特徴に合わせた購買分析ルールとなる。また、本対話式購入促進システムの究極的な目的は、自発的な特定商品の購買の継続の実現にある。自発的な購買の継続を実現するためには、購買の習慣化を身に着けさせることと、この習慣を身に着けるための購買意欲の向上、及び、身に着けた習慣を維持するために、購買意欲の維持を行うことが必要となる。本対話式購入促進システムは、購買意欲の向上及び維持を実現するための対話システムである。したがって、購買分析ルールは、購買意欲の向上及び維持を行う上で必要となるユーザごとの購入状況情報の分析取得をおこなうためのユーザ毎のルールである。 <Embodiment 22 first purchase analysis rule holding unit>
The “first purchase analysis rule holding unit” acquires purchase status information by analyzing external information, purchase history information, advertisement advertisement transmission history information, in association with user identification information, from the viewpoint of grasping the purchase status. Hold the first purchase analysis rule, which is the rule for Since the first purchase analysis rule is associated with the user identification information, the first purchase analysis rule is a purchase analysis rule that matches the characteristics of the user. In addition, the ultimate purpose of the interactive purchase promotion system is to realize the continuation of voluntary purchase of a specific product. In order to realize the continuation of voluntary purchasing, in order to make the habitation of purchasing wear, to improve the buying motivation for wearing this habit, and to maintain the wearing habit It will be necessary to maintain the purchase intention. This interactive purchase promotion system is a dialogue system for realizing improvement and maintenance of the purchase intention. Therefore, the purchase analysis rule is a rule for each user for performing analysis acquisition of purchase status information for each user, which is required to improve and maintain the purchase desire.
　「購入状況情報」とは、ユーザがどの程度特定商品の購入に意欲的か、という特定商品とユーザとの距離感を示す情報である。距離感の演算には、「外部情報から取得する情報」として、特定商品に関連する情報へのＳＮＳ内での発言量・発言頻度・発言量の変化・発言頻度の変化・発言等の友好度、発言から推測される特定商品の使用頻度、利用頻度、消費頻度のいずれか一以上を挙げることができ、「購買履歴情報から取得する情報」としては、特定商品のリピート購入回数・所定期間内のリピート購入回数・リピート購入継続時間（年数、月数、週数、日数）・リピート購入間隔の変化、のいずれか一以上を挙げることができ、「宣伝広告発信履歴情報から取得する情報」としては、特定商品に関連する情報へのアクセス頻度、特定商品に関連する情報（ホームページへのリンク、ホームページ内の情報のコピー、メール、メールの添付物、ＳＮＳでの紹介）の蓄積量・蓄積速度・蓄積加速度のいずれか一以上を挙げることができる。距離感の定量化は、第一購買分析ルールを用いる。このルールは、外部情報、購買履歴情報、宣伝広告発信履歴情報をそれぞれ定量化して組み合わせることによって距離感を演算するように構成される。 The “purchase status information” is information indicating a sense of distance between the specific product and the user, to what extent the user is willing to purchase the specific product. For the calculation of sense of distance, as "information acquired from external information", the amount of speech in the SNS to information related to a specific product, the frequency of speech, the change in the volume of speech, the change in speech frequency, the degree of friendship, etc. The usage frequency, usage frequency, and consumption frequency of the specific product inferred from the statement can be mentioned, and “information acquired from purchase history information” is the number of repeat purchases of the specific product within a predetermined period The number of repeat purchases, repeat purchase duration (years, months, weeks, days), change in repeat purchase interval, or any one or more of the following can be cited as "information to be acquired from advertising advertisement transmission history information" Is the frequency of access to information related to a specific product, information related to a specific product (link to home page, copy of information in home page, email, email attachment, introduction on SNS) It can include any one or more of the product volume and the rate of accumulation and storage acceleration. The quantification of the sense of distance uses the first purchase analysis rule. This rule is configured to calculate the sense of distance by quantifying and combining external information, purchase history information, and advertisement transmission history information.
　外部情報から取得する情報に基づいて購入状況情報の定量化をするためには、例えば、ＳＮＳ内での発言量、発言頻度が多い方が距離感が近く、少ない方が距離感が遠くなるように定量化し、発言量の変化や発言頻度の変化は増える方が距離感が近く、減る方が距離感が遠くなるように定量化する。発言等の友好度に関しては友好度が高い方が距離感が近く、友好度が低い方が距離感が遠くなるように定量化する。定量化の度合いはユーザに応じて変化するものであってもよい。この友好度の高低は、発言を有意味解析して行う。またその際にユーザの精神状態を分析して、よい精神状態であるほど有効度が高く、逆に悪い精神状態であるほど有効度が低いと計算する。精神状態としては、発する言葉が、「安心」、「精神的安定」「リラックス」などの状態であることを推定させる言葉やしぐさが外部情報として取得される状況を作り出すこと、状況を維持すること、を挙げることができる。また、精神的健康状況は良い、悪いのみでなく、安心、不安、感謝、驚愕、興奮、好奇心、性的好奇心、冷静、焦燥 (焦り)、不思議 (困惑)、幸運、リラックス、緊張、名誉、責任、尊敬、親近感 (親しみ)、憧憬 (憧れ)、欲望 (意欲)、恐怖、勇気、快感、後悔、満足、不満、無念、嫌悪、恥、軽蔑、嫉妬、罪悪感、殺意、期待、優越感、劣等感、怨み、苦しみ、悲しみ、切なさ、感動、怒り、諦め、絶望、憎悪、空虚などの精神的状況を格付け、点数化して友好度の演算に利用するように構成することもできる。さらに特定商品に注意を払っている度合いに応じて友好度を演算したり、特定商品に対する興味を有する度合いに応じて友好度を取得したり、特定商品に関する連想の量に応じて友好度を取得したり、特定商品に関連する欲望の量に応じて友好度を取得したり、特定商品に関する比較量の多さに基づいて友好度を取得したり、特定商品に関する良さの確信の量に応じて友好度を取得したり、特定商品に関する購入の決断の強さに応じて友好度を取得するように構成できる。 In order to quantify purchase status information based on information acquired from external information, for example, it is likely that the sense of distance will be closer if the amount of utterances in the SNS and the frequency of utterances are greater, and the distance will be farther if less. The change in the amount of speech and the change in the frequency of speech increase so that the sense of distance is closer and the sense of distance is smaller. With regard to the degree of friendship such as remarks, the higher the degree of friendship is, the closer the sense of distance is, and the lower the degree of friendship is quantified so that the sense of distance is greater. The degree of quantification may vary depending on the user. The degree of friendship is analyzed by meaningful analysis of the remarks. At that time, the mental state of the user is analyzed, and it is calculated that the better the mental state is, the higher the effectiveness, and the worse the mental state, the lower the effectiveness. As a mental state, creating a situation where words and gestures that are presumed to be in a state of "relief", "mental stability", "relax" etc. as external information can be created as external information, maintaining the situation Can be mentioned. In addition, the mental health situation is good, not only bad, but also relief, anxiety, appreciation, startle, excitement, curiosity, sexual curiosity, calmness, irritability (irritability), wonder (embarrassment), good luck, relaxation, tension, Honor, responsibility, respect, closeness (intimacy), jealousy (demeanor), desire (motivation), fear, courage, pleasure, remorse, satisfaction, frustration, remorse, hate, shame, contempt, jealousy, guilt, murderous intent, expectation Feeling of superiority, inferiority, hate, suffering, sadness, sadness, emotion, anger, licking, hopelessness, hate, emptiness, and other mental situations should be rated and configured to be used in the calculation of the degree of friendship You can also. Furthermore, the friendship degree is calculated according to the degree of paying attention to the specific product, the friendship degree is obtained according to the degree of interest in the specific product, or the friendship degree is obtained according to the amount of association regarding the specific product. Depending on the amount of desires related to a specific product, obtain a degree of friendship according to the amount of desire related to a specific product, obtain a degree of friendship based on the large amount of comparison regarding a specific product, or according to the amount of certainty regarding goodness The degree of friendship can be obtained or the degree of friendship can be obtained according to the strength of the purchase decision regarding a specific product.
　購買履歴情報に基づいて購入状況情報の定量化をするには、特定商品の購入のリピート回数・所定期間内のリピート回数・リピート継続時間（年数、月数、週数、日数）が大きいほど距離感が近くなるように定量化し、逆に小さいほど距離感が遠くなるように定量化する。またリピート間隔の変化については、リピート間隔が一定又は短くなる場合に距離感が近くなるように定量化し、リピート間隔が長くなる場合に距離感が遠くなるように定量化するように構成できる。ただし、特定商品がビールなどの大量消費商品であるか、自動車のような高級消費材であるかに応じて間隔に関しては評価するように構成するとよい。 In order to quantify purchase status information based on purchase history information, the larger the number of repeats of purchase of a specific product, the number of repeats within a predetermined period, and the repeat duration (years, months, weeks, days), the greater the distance It quantifies so that a sense comes close and conversely quantifies so that a sense of distance is far. The change of the repeat interval can be quantified so that the sense of distance becomes closer when the repeat interval becomes constant or short, and can be quantified so that the sense of distance becomes distant when the repeat interval becomes long. However, the interval may be evaluated in accordance with whether the specific product is a mass-consumption product such as beer or a high-end consumer product such as an automobile.
　宣伝広告発信履歴情報から取得する情報に基づいて購入状況情報を定量化するには、特定商品に関連する情報へのアクセス頻度が高くなるほど距離感が近くなるように定量化し、逆にアクセス頻度が低くなるほど距離感が遠くなるように定量化する。特定商品に関連する情報（ホームページへのリンク、ホームページ内の情報のコピー、メール、メールの添付物、ＳＮＳでの紹介）の蓄積量・蓄積速度・蓄積加速度については、増加するほど距離感が近くなるように定量化し、減少するほど距離感が遠くなるように定量化する。
　購入状況情報はこれら３種類の情報を総合して取得される。どのように各要素を重み付けするかはシステムの設計思想に依存する。例えば購買履歴情報を重点配点し、次に外部情報を重点配点とし、最後に宣伝広告発信履歴情報を配点とすることが考えられる。例えば、３種類の情報に基づいてそれぞれが１００点満点である場合には、ユーザの属性や、過去の三種類の情報と購買履歴情報とに基づいてユーザ毎に重み付けを変えて、例えば、購買履歴情報の点数を６０％、外部情報を３０％、宣伝広告発信履歴情報を１０％から購買履歴情報の点数を４０％、外部情報を４０％、宣伝広告発信履歴情報を２０％、の間に設定するなどが考えられる。 In order to quantify the purchase status information based on the information acquired from the advertisement advertisement transmission history information, it is quantified so that the sense of distance becomes closer as the access frequency to the information related to the specific product becomes higher, and the access frequency Quantify the lower the distance so the sense of distance gets farther. With regard to the amount of accumulated information, accumulated speed, and accumulated acceleration of information related to a specific product (link to homepage, copy of information in homepage, email, attachment to email, introduction by SNS), the sense of distance is closer as it increases Quantify as you want, and quantify so that the sense of distance gets farther as you decrease.
The purchase status information is acquired by integrating these three types of information. How each element is weighted depends on the design concept of the system. For example, it may be considered that emphasis is placed on purchase history information, secondly on external information, and finally on advertisement advertisement transmission history information. For example, if each of the points is 100 points based on three types of information, weighting is changed for each user based on the user's attribute, the past three types of information and the purchase history information, for example, purchase 60% of historical information points, 30% of external information, 10% of advertising advertisement transmission history information, 40% of purchasing history information points, 40% of external information, and 20% of advertising advertisement transmission history information Setting etc. can be considered.
　＜実施形態２２　第一購買購入状況情報分析取得部＞
　「第一購買購入状況情報分析取得部」は、ユーザ識別情報に関連付けられている取得した外部情報と、購買履歴情報と、宣伝広告発信履歴情報と、同じユーザ識別情報に関連付けられている第一購買分析ルールとに基づいて購入状況情報を取得する。なお、購入状況情報は、購入に対する距離感である定量化された値の他にユーザの心理状態種別などを付随する情報として含んでいてもよい。取得された購入状況情報は当該第一購買購入状況情報分析取得部に過去の分も含めてユーザ識別情報や出力された対話情報と時間的に関連付けて保存されていてもよいし、ユーザ識別情報と関連付けられた情報として保存されているユーザ属性情報の一部として保存されてもよい。 <Embodiment 22 first purchase and purchase status information analysis acquisition unit>
The “first purchase purchase condition information analysis acquisition unit” is a first purchase relationship associated with the same user identification information as the acquired external information associated with the user identification information, the purchase history information, the advertising advertisement transmission history information, and the like. Purchase status information is acquired based on purchase analysis rules. The purchase status information may include the user's mental state type and the like as the accompanying information in addition to the quantified value which is a sense of distance to the purchase. The acquired purchase status information may be stored in the first purchase purchase status information analysis acquisition unit in association with the user identification information and the output dialogue information, including the past ones, or the user identification information And may be stored as part of user attribute information stored as information associated with the user.
　＜実施形態２２　第一購買対話情報蓄積部＞
　「第一購買対話情報蓄積部」は、ユーザ識別情報に関連付けて取得した購入状況情報に応じて発信すべき対話情報を蓄積する。対話情報は、一般社会においておよそ発言される可能性があるありとあらゆる会話がデータベースとして蓄積されている。本件対話式購入促進システムで、ユーザに対して購買又は購買習慣の定着のアドバイスをする際のベースとなる会話の例文や言葉や静止画、動画、ロボットのプログラム、アニメ、絵、アバターの絵などを特に重厚に保持している。一般的な会話情報の辞書の他に購買に関して専門的な辞書のようなものを有するのが好ましい。言語はユーザが解する言語で蓄積していてもよいし、日本語や英語、中国語などの標準言語によって対話情報を蓄積し、ユーザの使用言語に合わせて翻訳して選択されるように構成することもできる。したがって、言語辞書データベース、会話辞書データベース、などをベースに基礎を予め構築し、さらにＳＮＳや、情報提供サイト、企業広告のサイト、掲示板サイト、電話の通話内容、等本件対話式学習促進システムが閲覧視聴収集可能なすべての情報源から収集した対話情報を蓄積することが好ましい。これらには例えば方言、ギャル語、絵文字、顔文字、隠語、造語、新語、略語、慣用語などが含まれていてよく、これらは人工知能によって収集され、徐々に会話精度が高まる（意図が正確に伝わる）ように構成されることが好ましい。さらに、購買促進アドバイスは、特定の商品名や、特定の店舗名、特定の会社名、特定の部品名、特定の機能名、造語を用いて行うことが考えられる。特定の固有名詞や造語は、ネット上から確実に取得できるとは限らないため、蓄積部に人が直接入力することによって、特殊な言語群の入力が行えるように構成しておくことが好ましい。 Embodiment 22 First Purchase Dialogue Information Storage Unit
The “first purchase dialogue information storage unit” stores dialogue information to be transmitted according to the purchase status information acquired in association with the user identification information. The dialogue information is stored in a database as any and every conversation that may be spoken in the general society. In this interactive purchase promotion system, examples of conversation examples, words and still images, videos, robot programs, animations, pictures, avatars, etc. that are the basis for giving advice to users on purchasing or purchasing habits. In particular. In addition to a general dictionary of conversational information, it is preferable to have something like a specialized dictionary for purchasing. Languages may be stored in a language understood by the user, or dialog information may be stored in a standard language such as Japanese, English, or Chinese, and configured to be translated and selected according to the user's language used You can also Therefore, based on the language dictionary database, conversation dictionary database, etc., the foundation is built in advance, and further SNS, information provision site, company advertisement site, bulletin board site, telephone call contents, etc. It is preferable to accumulate dialogue information collected from all sources that can be viewed and collected. These may include, for example, dialects, gal words, pictograms, emoticons, secret words, coined words, new words, abbreviations, idioms, etc., which are collected by artificial intelligence and gradually improve speech accuracy (intentionally accurate) Preferably). Furthermore, it is conceivable that the purchase promotion advice is performed using a specific product name, a specific store name, a specific company name, a specific part name, a specific function name, and a coined word. Since it is not always possible to obtain a specific proper noun or coined word surely from the net, it is preferable to configure so that a special language group can be input by a person directly inputting to the storage unit.
　本件対話式購入促進システムは、ユーザ一人一人の個性を反映させて、ユーザにとって自然な会話となるように対話情報を選択して出力することによって、ユーザに対してあたかも自分を心配してくれている生身の人間と接しているかのような感情を抱かせることに特徴がある。そのため、ユーザの普段の会話に合わせて、丁寧な言葉遣いにするのか、口語調のラフな言葉遣いにするのか、大阪弁や博多弁などの方言にするのか、文書中に英語を取り混ぜた言葉遣いにするのか、といった会話内容の選択だけでなく会話の形式を選択できるように対話情報が蓄積されていることが好ましい。第一購買対話情報蓄積部は、対話の形成の違いごとに同じ意味合いの対話であっても違うものとして対話情報を蓄積してもよい。すなわち、感謝の気持ちを表現する対話情報として、「ありがとうございます。」「ありがとう」「ありがとー」「おおきに」「サンキュー」「Ｔｈａｎｋ　ｙｏｕ」等の表現をすべて異なる対話情報として蓄積しておく。あるいは、第一購買対話情報蓄積部は、意味合いごとに一番基本的となる対話情報のみを蓄積して、後述する第一購買対話情報出力部によって、第一購買対話情報蓄積部から選択した基本となる対話情報をユーザの個性にあった対話形式に変換する方法が考えらえる。この場合、基本となる対話情報をユーザごとの特性に即した対話形式に変換するルールは、ユーザ別対話情報選択ルールに含まれている。この場合の第一購買対話情報蓄積部には、「体験しますか？」「体験したら？」「体験しない～？」「やってみなよ」「やってみ！」「やりなよ！」「ＬＥＴ'Ｓ　ＴＲＹ」等はすべて特定商品の体験を促す表現であるから、基本となる対話情報として「体験しますか」に関連付けられ、又はこれから派生して生成されることになる。 The interactive purchase promotion system is as concerned with the user as it is by reflecting on the individuality of each user and selecting and outputting the dialogue information so as to be a natural conversation for the user. It is characterized by having the feeling as if you are in contact with a living human being. Therefore, according to the user's daily conversation, whether to use polite language, rough language with spoken language, or dialects such as Osaka dialect or Hakata dialect, words that mix English in the document It is preferable that dialogue information be stored so that not only the choice of the contents of the conversation, such as whether it will be lost, but also the type of conversation can be selected. The first purchase dialogue information storage unit may store dialogue information as being different even if the dialogue has the same meaning for each difference in formation of the dialogue. That is, as dialogue information expressing the feeling of gratitude, expressions such as "Thank you", "Thank you", "Thank you", "Okini", "Thank you", "Thank you", etc. are all accumulated as different dialogue information. Alternatively, the first purchase dialogue information storage unit accumulates only the most basic dialogue information for each meaning, and the first purchase dialogue information output unit described later selects the basic selected from the first purchase dialogue information storage unit. There is a method of converting the dialogue information to be into the dialogue form suited to the individuality of the user. In this case, a rule for converting the basic dialogue information into a dialogue style conforming to the characteristics of each user is included in the user-by-user dialogue information selection rule. In this case, in the first purchasing dialogue information storage unit, "Do you experience?" "If you experience?" "Do not experience?" "Do everything!" "Try it!" "Do it!" Since all "LET'S TRY" and the like are expressions promoting the experience of a specific product, they are associated with "do you experience" as basic dialogue information, or are derived and generated from this.
　第一購買対話情報蓄積部に蓄積された対話情報は、インターフェイスモニタに表示可能なように構成しておいてもよい。蓄積された対話情報が表示されたインターフェイス画面上から、手動で対話情報の追加、変更、削除といった管理行為を行うことが可能なように、対話情報蓄積部管理手段を第一購買対話情報蓄積部が有するように構成する、あるいは、対話情報蓄積部管理部が新たな構成として設けられるように構成することが考えられる。
　第一購買対話情報蓄積部の管理行為は、本件対話式購入促進システムの管理及び提供を行う者が行うことを想定している。 The dialogue information accumulated in the first purchase dialogue information accumulation unit may be configured to be able to be displayed on the interface monitor. The dialogue information storage unit management means is the first purchase dialogue information storage unit so that management actions such as addition, change and deletion of dialogue information can be manually performed from the interface screen on which the accumulated dialogue information is displayed. It can be considered that the communication information storage unit management unit is provided as a new configuration.
The management action of the first purchase dialogue information storage unit is assumed to be performed by a person who manages and provides the interactive purchase promotion system.
　＜実施形態２２　第一購買ユーザ別対話情報選択ルール保持部＞
　「第一購買ユーザ別対話情報選択ルール保持部」は、取得した購入状況情報に基づいて蓄積されている対話情報を選択するユーザ識別情報に関連付けられたルールであるユーザ別対話情報選択ルールを保持する。ユーザ別対話情報選択ルールは、ユーザに対してあたかも自分を心配してくれている生身の人間と接しているかのような感情を抱かせるために、ユーザ一人一人の個性を反映させて、ユーザにとって自然な会話となるように対話情報を選択するためのルールである。外部情報である、ＳＮＳのユーザ発信情報等から、ユーザの対話の形式に即した会話の形式を選択し、購入状況情報分析取得された購入状況情報に基づいて会話の内容を選択し、両選択を合わせてユーザの個性を反映した対話情報を選択することのできるルールである。対話形式には、丁寧語、口語、ギャル語、大阪弁、京都弁、博多弁、名古屋弁、北海道弁、沖縄弁などの各地方の方言、等形式的に事前に登録してある一般的対話情報選択ルールから選択してユーザ別対話情報選択ルールとする方法と、ユーザの会話情報から全てオリジナルに組み立てる方法が考えられる。 <The twenty-second embodiment of the first purchase user-by-user dialogue information selection rule holding unit>
The “first purchase user classified dialog information selection rule holding unit” holds the user classified dialog information selection rule which is a rule associated with the user identification information for selecting the accumulated dialogue information based on the acquired purchase status information Do. The user-specific dialog information selection rule reflects the individuality of each user in order to make the user feel as if he or she is in contact with a real human being who is worried about himself. It is a rule for selecting dialogue information so as to be a natural conversation. Select the form of conversation according to the form of the user's dialogue from the SNS user transmission information etc. which is external information, select the content of the conversation based on the purchase status information acquired by purchase status information analysis, and select both Is a rule that can select dialogue information reflecting the individuality of the user. General dialogues that are registered in advance are formally registered, such as polite language, spoken language, gal language, Osaka dialect, Kyoto dialect, Hakata dialect, Nagoya dialect, Hokkaido dialect, Hokkaido dialect, etc. There are conceivable a method of selecting from information selection rules and setting it as a user-by-user dialogue information selection rule, and a method of assembling all of the user's conversation information into an original.
　ユーザがより身近な、かつ生身の存在であるかのように本件対話式購入促進システムを認識できるのは、ユーザの個性をより強く反映できる、対話形式をオリジナルに組み立てる方式である。しかし、ユーザが本件対話形式購買促進システムを使い始めた段階では、ユーザの個性を分析するための外部情報の蓄積量が少ない。したがって、ユーザの個性に応じたオリジナルの形式を選択するためのルールを取得するのに十分な情報がない場合には自動的にデフォルトの形式を選択する。例えばユーザに対話形式を選択登録させることでユーザの好みの対話形式で開始するように構成することが考えられる。また、ユーザの属性に応じて適切な対話形式を自動的に選択するように構成しもよい。ユーザの属性とは、年齢、性別、出身地、現住所地、国籍、使用言語、ＳＮＳでの会話（対話）形式、ＳＮＳでの友人の会話（対話）形式、好みの服装種別、好みの映画種別、好みの書籍種別、好みの有名人種別（タレント、俳優、政治家、著述家、歌手、芸人、歴史上の人物、アナウンサー、キャラクター）などである。第一購買対話情報選択ルールの取得に十分なユーザの外部情報が蓄積されたら、ユーザの個性に応じた形式を第一購買対話情報蓄積部から選択するような固有のユーザ別対話情報選択ルールを構成する。なお、選択ルールには、購入状況情報にユーザの心理状態を示す情報が含まれている場合にはその心理状態に応じて選択される対話情報が変わるように構成してもよい。 What can be recognized in the present interactive purchase promotion system as if the user is closer and live is the method of assembling an interactive form that can more strongly reflect the user's individuality. However, when the user starts using the interactive purchase promotion system, the amount of external information accumulated to analyze the user's individuality is small. Therefore, if there is not enough information to acquire a rule for selecting an original format according to the user's personality, a default format is automatically selected. For example, it can be considered that the user can select and register an interactive form and start it in the interactive form of the user's preference. In addition, it may be configured to automatically select an appropriate interaction type according to the user's attribute. The attributes of the user are age, gender, birthplace, present address, nationality, language used, SNS conversation (dialogue) format, SNS friend conversation (dialogue) format, favorite clothes type, favorite movie type , Favorite book type, favorite celebrity type (talent, actor, politician, writer, singer, entertainer, historical person, announcer, character) and the like. When external information of the user sufficient for acquiring the first purchase dialogue information selection rule is accumulated, the user-specific dialogue information selection rule is selected such that the format corresponding to the individuality of the user is selected from the first purchase dialogue information storage unit Configure. If the selection rule includes information indicating the user's mental state in the purchase status information, the selected dialogue information may be changed according to the user's mental state.
　ユーザのＳＮＳの会話情報からユーザ別対話情報選択ルールをユーザ毎に最適化するために、対話情報の形式を分析することが考えられる。これは、単にユーザの発言形式のみにとらわれるのではなく、ユーザが頻繁にやりとりを行っている友人や家族の会話形式を分析して、ユーザ別対話情報選択ルールを組み立てることが考えられる。ユーザが実際に日常的に会話をしている会話相手の話し方を分析して反映させることで、友人や家族と話して言うような安心感を与えることが可能となる。したがって、ユーザに対してより強く、あたかもユーザのことを心配している生身の人間とやり取りをしているかのような気持ちを抱かせることが可能となり、ユーザが新製品の購買に当たり悩んでいること、迷っていることを素直に相談しやすくなり、かつ、ユーザがシステムからのアドバイスや提案を受け入れやすくなる。このような観点から蓄積されている対話情報には愛情を伝える対話情報、好感度を伝える対話情報、相手を褒める対話情報、相手を励ます対話情報など感情移入できる対話情報がバラエティに富んで蓄積されていることが好ましい。 In order to optimize the user-by-user dialog information selection rule for each user from the conversation information of the user's SNS, it is conceivable to analyze the format of the dialog information. This is not merely limited to the user's speech form, but it is conceivable to analyze the conversation form of the friend or family with whom the user frequently interacts, and to construct the user-specific dialogue information selection rule. By analyzing and reflecting the manner in which the conversation partner actually talks everyday, the user can give a sense of security as if speaking to a friend or family member. Therefore, it is possible for the user to feel stronger as if he is interacting with a real human being who is worried about the user, and the user is troubled in purchasing a new product. It makes it easier to ask questions about what is wrong, and makes it easier for the user to accept advice and suggestions from the system. The dialogue information accumulated from this point of view is a variety of accumulated dialogue information that can be empathic, such as dialogue information that conveys affection, dialogue information that conveys liking, dialogue information that gives up the other party, dialogue information that encourages the other party, etc. Is preferred.
　さらに、いつも否定的な発言から応答するが、何度もお願いされると断れないとか、本当はそれほど嫌ではないのに大げさに嫌がっている、とりあえず嫌がっておく、というユーザの性格が性格診断や属性情報などで取得されている場合には、ユーザからの数回の否定的応答だけでは出力した対話情報に有効性がないとは言えず、同じ対話情報の出力を平均的にユーザが受け入れるまでに要する回数より特定回数多くなるまでは繰り返すという構成にしておくことが性格を属性として統計分析した結果に取るべき対応として推薦される場合にはその対応を対話情報選択部が選択するルールとすることが考えられる。つまり、このようなあきらめないルール（サブステップ、サブルール）又はあきらめないプロセスをユーザ別対話情報選択ルールに含ませる、又はこれによって構成するプロセスを含むようにすることができる。 In addition, although the user always responds from a negative comment, he / she is unwilling to refuse if asked repeatedly, or he / she hates over-emphasis although it is not so disgusting as it is, it is the personality of the user that he hates it for the time being. If it is acquired as information etc., it can not be said that the output dialogue information is not effective only by a few negative responses from the user, and the user can accept the output of the same dialogue information on average If it is recommended that the process be repeated according to the result of statistical analysis with the attribute as the attribute, it is recommended that the dialogue information selection unit select the correspondence until it is repeated until the specified number of times exceeds the required number. Is considered. That is, it is possible to include such a non-yielding rule (sub-step, sub-rule) or a process not giving up in the user-specific dialogue information selection rule, or a process including this.
　＜実施形態２２　第一購買対話情報選択部＞
　「第一購買対話情報選択部」は、購入状況情報と保持されているユーザ別対話情報選択ルールと、に基づいて対話情報を第一購買対話情報蓄積部から選択し、そのユーザごとの特性に即した対話形式の対話情報に変換する。「第一購買対話情報選択部」は、取得した購入状況情報と保持されているユーザ別対話情報選択ルールと、に基づいて対話情報を第一購買対話情報蓄積部から選択する。対話形式の違いごとに第一購買対話情報蓄積部に対話情報が蓄積されている場合には、ユーザ別対話情報選択ルールで選択された対話形式と対話内容に合致する対話情報を選択することになる。第一購買対話情報蓄積部に、対話形式の違いごとに対話情報が蓄積されておらず、対話形式にこだわらず対話の内容の意味ごとに対話情報を蓄積している場合には、ユーザ別対情報選択ルールによって指定された対話内容に従って第一購買対話情報蓄積部から基本となる対話情報を選択し、選択した対話情報をユーザ別対話情報選択ルールに指定された対話形式に合致する対話形式に変換する。この場合に基本となる対話情報は、言葉そのものでなく、一群の言葉の集合を指すものであってもよい。この場合には、感謝の気持ちを表現する対話情報に対して識別情報が付与されており、これを選択して、その後に「ありがとうございます」「ありがとう」「ありがとー」「おおきに」「サンキュー」「Ｔｈａｎｋ　ｙｏｕ」等の表現のいずれかを選択するように構成する。つまり、このようにしてユーザ別対情報選択ルールによって指定された対話内容に従って対話情報蓄積部から基本となる対話情報を選択し、選択した対話情報をユーザ別対話情報選択ルールに指定された対話形式に合致する対話形式に変換するしょりが行われる。以上の作業が対話情報の選択となる。この選択はコンピュータによって瞬時に行われうるように構成する。具体的には、ＳＮＳを介してユーザからの入力を受付けるとそのユーザがＳＮＳの画面を閉じる余裕を与えないでその画面に返信が表示される程度の速度である。一例としては、平均して１秒以内程度である。 Embodiment 22 First Purchase Dialogue Information Selection Unit
The “first purchase dialogue information selection unit” selects dialogue information from the first purchase dialogue information storage unit based on the purchase status information and the user-specific dialogue information selection rule held, and selects the characteristic for each user. Convert to the interactive information of the interactive style. The “first purchase dialogue information selection unit” selects dialogue information from the first purchase dialogue information storage unit based on the acquired purchase status information and the held user dialogue information selection rule. When dialogue information is stored in the first purchase dialogue information storage unit for each difference in the dialogue form, it is possible to select the dialogue information matching the dialogue form and the dialogue content selected by the user-by-user dialogue information selection rule Become. In the first purchase dialogue information storage unit, when dialogue information is not accumulated for each difference in the dialogue type, and the dialogue information is accumulated for each meaning of the contents of the dialogue regardless of the dialogue type Based on the dialogue content specified by the information selection rule, the basic dialogue information is selected from the first purchase dialogue information storage unit, and the selected dialogue information matches the dialogue style specified in the user-specific dialogue information selection rule Convert. In this case, the basic dialogue information may indicate not a word itself but a group of words. In this case, identification information is given to the dialogue information expressing the feeling of gratitude, and this is selected, and then “thank you”, “thank you”, “thank you”, “big chance”, “thank you” It is configured to select one of expressions such as “Thank you”. That is, in this manner, the dialog information that is the basis is selected from the dialog information storage unit according to the dialog content specified by the user-specific information selection rule, and the selected dialog information is specified in the user-specific dialog information selection rule It is converted to the interactive form that conforms to. The above work is the selection of dialogue information. This selection is configured to be made instantaneously by the computer. Specifically, when the input from the user is accepted via the SNS, the user has a speed for displaying a reply on the screen without giving a margin for closing the screen of the SNS. As an example, it is about 1 second or less on average.
　＜実施形態２２　第一購買対話情報出力部＞
　「第一購買対話情報出力部」は、選択した対話情報をユーザ識別情報で識別されるユーザに対して前記ＳＮＳを介して出力する。前述のように第一購買対話情報出力部が対話情報を出力する速度は、必要な場合にはユーザの入力に即座に応答する速度である。ユーザがＳＮＳ画面を閉じてしまうと、システム側からの発信が既読にならないで放置されるリスクが高まるからである。なお、常に即座に応答する必要はなく、時間をおいて出力される種の発信があってもよい。例えばアドバイスの結果を聞くような会話の場合である。出力するは、ユーザの携帯端末、デスクトップパソコンなどの固定端末などである。出力するＳＮＳは、本件対話式購入促進システム専用のアプリケーションでもよいし、ユーザが日常的に利用している対話式購入促進システム専用ではない、別のシステムによって管理提供されているＳＮＳサービスであってもよい。 Embodiment 22 First Purchase Dialogue Information Output Unit
The “first purchase dialogue information output unit” outputs the selected dialogue information to the user identified by the user identification information via the SNS. As described above, the speed at which the first purchase dialogue information output unit outputs the dialogue information is the speed at which the first purchase dialogue information output unit responds immediately to the user's input if necessary. If the user closes the SNS screen, the risk of leaving from the system side not being read is increased. In addition, it is not necessary to always respond immediately, and there may be a kind of transmission that is output with time. For example, in the case of a conversation in which the result of the advice is heard. The output is a user's portable terminal, a fixed terminal such as a desktop personal computer, or the like. The SNS to be output may be an application dedicated to the present interactive purchase promotion system, or an SNS service managed and provided by another system that is not exclusively for the interactive purchase promotion system used routinely by the user. It is also good.
　出力の形式は、文字、イラスト、音声、画像、動画等、情報をユーザに伝達できる手法であれば形式は限定されない。あたかも生身の人間と話しているように感じさせるためには、専用アプリケーションを用いるよりも、日常的に生身の人間とのやり取りで利用しているＳＮＳサービスを利用するほうが、他の人のやり取りの中に混じって自然に本件対話式購入促進システムからの購買促進アドバイス、購買習慣定着アドバイスが表示されることになり、効果的である。効果的とは、本件対話式学習促進システムからのアドバイスが、日常的に自然に目につくので、システム（無機的なコンピュータやサーバ）と対話するという意識を強く抱かせないという点が効果的となる理由である。本件対話式学習促進システムからの出力は、出力先のＳＮＳサービスを利用している例えばスマートフォンのステータスバーや、アイコンに未読通知をしないような設定にしたり、チャットヘッドが出現することができないように構成されていると、上記効果を確実化することができるので、より効果的となる。逆に、チャットヘッドなどはスマートフォンなどで直ちに目に付くので本システムとの距離感が小さくなり好ましい。なお、出力される対話情報は、質問形式を含むもの、アドバイスを含むもの、挨拶、擬音、など、内容も形式も制限されない。 The format of the output is not limited as long as the information can be transmitted to the user, such as characters, illustrations, sounds, images, and moving pictures. In order to make you feel as if you are talking to a real person, it is better to use the SNS service that you use on a daily basis with real people, rather than using dedicated applications. It will be effective as it will display purchasing promotion advice and purchasing habit establishment advice from the interactive purchase promotion system naturally. Effective is that the advice from the interactive learning promotion system is found naturally on a daily basis, so it is effective not to have a strong sense of interacting with the system (inorganic computer or server). It is the reason to become. The output from the interactive learning promotion system is set so as not to give unread notification to the status bar or icon of the smartphone using the SNS service of the output destination, for example, or the chat head can not appear. If configured, it is more effective because the above effect can be ensured. On the contrary, since a chat head etc. is immediately visible with a smart phone etc., a feeling of distance with this system becomes small, and is preferable. Note that the dialogue information to be output includes ones including a question form, ones including an advice, a greeting, an anomalous sound, etc., and neither the content nor the form is limited.
　さらに、いつも同じ方法による出力形式ではなく、文字、イラスト、音声、画像、動画等、コンピュータグラフィックスによって生成されるアバターなど複数の出力方法を組み合わせることが、生身の人間とのやりとりに近似して、より効果的となる。したがって、出力インターフェイスに文字として対話情報として出力したり記録された音声データを対話情報として出力（発話）するだけでなく、自動音声通話機能を用いたリアルタイムでの対話情報の出力と応答対話情報の取得が行われてもよい。さらに、ある人が音声通話を用いて特定商品の販売先にアクセスをした場合に、その人の音声通話を本対話式購入促進システムを利用する通信機器によって受信した場合に、出力側に本対話式購入促進システムの利用登録がなかった場合でも、直ちに電話番号等を用いてユーザ識別情報を生成保持し、その人物をゲストユーザとして音声通話を受信する対話式購入促進システムに認識させることで、ゲストユーザに対して本音声対話式購入促進システムを介した対話情報の音声による出力が可能となるような構成にすることも可能である。この場合、ゲストユーザは遠隔地にある対話式購入促進システムに対して音声通話を通じてユーザ登録を行っているにすぎない。ユーザ端末自体が本対話式購入促進システムを起動させている場合と区別するためにゲストユーザとして定義しているが、一度目の音声通話の時点でそのユーザを発信電話番号、音声、氏名、会員ナンバー、などのユーザ属性と関連付けて識別番号を与えておくことで、次回以降の音声通話において、過去の音声通話によって蓄積されたゲストユーザの属性情報（好み、話し方、間の取り方、趣味・思考等）を反映させた対話情報を出力することがか可能である。この場合の対話情報の出力は、音声電話を受信しているユーザが所持していないＳＮＳ利用可能端末で生成され、音声として出力されたものが電話を通じてゲストユーザに届けられることになることから、ＳＮＳを介した対話情報の出力といえる。 Furthermore, combining multiple output methods such as characters, illustrations, sounds, images, moving images, avatars generated by computer graphics such as characters, illustrations, sounds, images, moving images, etc. instead of always using the same method is similar to interaction with a real human being. Become more effective. Therefore, in addition to outputting (uttering) voice data which is output as dialogue information as characters and output as speech information to the output interface as dialogue information, it is possible to output dialogue information and respond dialogue information in real time using an automatic voice call function. Acquisition may be performed. Furthermore, when a person accesses the sale destination of a specific product using a voice call, when the voice call of the person is received by the communication device using the interactive purchase promotion system, the dialogue on the output side Even when there is no use registration of the formula purchase promotion system, user identification information is immediately generated and held using a telephone number etc., and the person is recognized as a guest user by an interactive purchase promotion system that receives a voice call. It is also possible to adopt a configuration that enables voice output of dialogue information to the guest user via the voice interactive purchase promotion system. In this case, the guest user is merely performing user registration to the interactive purchase promotion system at a remote place through a voice call. Although the user terminal is defined as a guest user to distinguish it from the case where the interactive purchase promotion system is activated, the user is called the calling telephone number, voice, name, member at the time of the first voice call. By assigning identification numbers in association with user attributes such as numbers, etc., the guest user's attribute information (preferences, how to talk, how to make sense, hobbies, etc.) accumulated in the past voice calls in the next and subsequent voice calls. It is possible to output dialogue information in which thinking etc. is reflected. In this case, the output of the dialogue information is generated by the SNS enabled terminal which is not possessed by the user receiving the voice telephone, and the output as the voice is delivered to the guest user through the telephone. It can be said that it is an output of dialogue information via SNS.
　対話情報のＳＮＳを介した出力は、ＳＮＳに参加しているユーザの友達等の発言としての出力である。従って、できるだけユーザに対してユニークに見える友達等としての会話であることが好ましいことから、多数の名前を利用してできるだけユーザ間で同じ名前が重ならないようにすることが好ましい。あるいは名前は最初のユーザ登録時に自由に設定できるようにしてもよい。また、会話選択に利用される要素を決定する属性をユーザ登録時に自由に設定できるようにしてもよい。例えば、システムである友達等の性別、年齢、性格、アバター、服装、生活リズム、趣味、等である。 The output of the dialogue information through the SNS is an output as a speech of a friend or the like of the user participating in the SNS. Therefore, since it is preferable to have a conversation as a friend or the like that looks as unique as possible to the user, it is preferable to use multiple names so that the same name does not overlap between users as much as possible. Alternatively, the name may be freely set at the time of initial user registration. Further, an attribute for determining an element used for conversation selection may be freely set at the time of user registration. For example, gender, age, personality, avatar, clothes, life rhythm, hobbies, etc. of friends who are the system.
　また、対話情報の出力は、本対話式購入促進システムが装う一人のキャラクターのみでなく、複数のキャラクターによって対話情報を出力するように構成してもよい。例えば一人は叱咤激励役、他の一人は慰め役など、キャラクターを分けて効果的な影響をユーザに与えるように構成することもできる。キャラクターの設定は、取得した外部情報、購買履歴情報、宣伝広告発信履歴情報、などによって選択されるように構成することもできる。出力すべき会話情報の内容（属性）に応じて適切なキャラクターが選択されるように構成できる。従って、会話情報に属性が付与されて第一購買対話情報蓄積部に蓄積され、第一購買対話情報出力部でその属性情報に応じたキャラクターが選択されてＳＮＳ上の発言を構成するように仕組むとよい。そして、選択される会話には、ユーザとシステムである複数のキャラクターである友達等との間の会話のみならず、システムである友達等（キャラクター）間での会話がなされてもよい。この場合にはユーザは友達等の間で交わされる会話から購買促進、購買習慣定着のための動機付け等を得られるようになされる。 Further, the output of the dialogue information may be configured to output the dialogue information not only by one character worn by the interactive purchase promotion system but also by a plurality of characters. For example, one character may be a cheering player, and the other may be a comforter, so that characters can be divided to effectively affect the user. The setting of the character can also be configured to be selected based on the acquired external information, purchase history information, advertisement transmission history information, and the like. An appropriate character can be selected according to the content (attribute) of the conversation information to be output. Therefore, an attribute is added to the conversation information and stored in the first purchase dialogue information storage unit, and a character corresponding to the attribute information is selected in the first purchase dialogue information output unit so as to compose an utterance on the SNS. It is good. Then, in the selected conversation, not only conversation between the user and friends who are multiple characters in the system, but also conversation between friends (characters) in the system may be performed. In this case, the user can obtain the purchase promotion, the motivation for establishing the purchase habit, and the like from the conversation exchanged between friends and the like.
　また、ユーザ端末の位置情報システムなどと連携して、位置情報に応じてシステムである友達等の発言を切換えるように構成してもよい。例えば、大阪に出かけたときには大阪弁の友達等が現れ、九州に出かけたときには九州弁の友達等が現れるといった具合である。この際には大阪の友達等は、前回大阪に出かけたときから久しぶりに会った、というようなシチュエーション（面会タイミングシチュエーション）を前提として会話を選択するように構成してもよい。例えば、遠方地に出かけた時にそこに住んでいる友人という設定のシステム上の友達がＳＮＳの会話に現れる場合には、前回出かけたときから久しぶりに会ったというシチュエーションにおいて、「この前もＣのカメラだったけど、最近発売されたＣの新製品は買わないの？」という会話が考えらえる。また、複数のユーザにわたって共通のシステムである友達等を設定する場合には、「鈴木さんはＴの新車に買い替えたみたいだけど、そろそろあなたも買い替え時期じゃない？」というような比較会話や、「山田さんがキャンプに行きたがっていたから、Ｔの新車に買い替えてキャンプにさそってみたらどうかな？」のような勧誘会話が考えられる。 Further, in cooperation with the position information system of the user terminal or the like, the speech of a friend or the like who is the system may be switched according to the position information. For example, when going out to Osaka, friends of Osaka Ben appear, and when going out to Kyushu, friends of Kyushu Ben appear. In this case, a friend or the like in Osaka may be configured to select a conversation on the assumption that a situation (a meeting timing situation) where he has met for a long time since he went to Osaka last time. For example, when a friend on the system of the setting of a friend living there appears in a SNS conversation when going out to a distant place, in a situation where I met after a long time since I went out last time, Though it was a camera, do you buy a new product of C released recently? In addition, when setting up a friend who is a common system across multiple users, you may have a comparative conversation such as “Suddenly you bought a new car for T, but it's also time for you to buy a new car?” Mr. Yamada wanted to go to the camp, so why don't you buy a new car from T and try to go to the camp?
　なお、友達等は必ずしもアバター（キャラクター）が人である必要はなく、哺乳類、魚、虫、物、などいろいろ設定してよい。また、アバターは設定に応じて写真、動画、ピクチャーなどをユーザに送信するように設定してもよい。例えば食事の写真、風景写真、理想的な体の写真、運動の仕方を説明する動画、などである。さらに、利用を進める器具、サプリメント、などの情報を送ってきてもよい。さらに、システムである友達等は、アクシデントに見舞われる、人生の階段を上る、と言うような時間経過に応じて出来事を設定した前述のようなアバタースケジュールを用いて臨場感、温かみ、人間味を出してもよい。 In addition, a friend etc. do not necessarily need to be an avatar (character) person, and may set various things, such as a mammal, a fish, an insect, a thing, etc. Further, the avatar may be set to transmit a picture, a moving picture, a picture or the like to the user according to the setting. For example, pictures of meals, landscapes, pictures of an ideal body, videos explaining how to exercise, etc. In addition, you may send information such as equipment, supplements, etc., to promote use. Furthermore, the friends who are the system use the avatar schedule as described above, which set events according to the passage of time, such as going up the stairs of life, to be experienced, heated, and human-like. May be
　＜実施形態２２　ハードウェア構成＞
　図６１は実施形態２２のハードウェア構成の一例を示す図である。図に示すように、基本的に汎用コンピュータとプログラム、各種デバイスで構成することが可能である。コンピュータの動作は基本的に不揮発性メモリに記録されているプログラムやデータを主メモリにロードして、主メモリとＣＰＵと各種デバイスとで処理を実行していく形態をとる。デバイスとの通信は、バス線と繋がったインターフェイスを介して行われる。この図にあるように実施形態２２のハードウェアを構成するプログラムとして、「第一購買ユーザ識別情報保持プログラム」は、ユーザ識別情報を保持する。「第一購買ＳＮＳユーザ関連情報取得プログラム」は、ＳＮＳユーザ関連情報を取得する。これは、ＳＮＳとのインターフェイスプログラムを介して行われる。「第一購買履歴情報取得プログラム」は、ユーザが利用する外部の学習システムからユーザの購買履歴情報を取得する。「第一購買宣伝広告発信履歴情報取得プログラム」は、宣伝広告発信履歴を取得する。「第一購買分析ルール保持プログラム」は、第一購買分析ルールを保持する。「第一購買購入状況情報分析取得プログラム」は、第一購買分析ルールに基づいた分析に基づいて外部情報と購買履歴情報と宣伝広告発信履歴情報と、から購入状況情報を取得する。「第一購買対話情報蓄積プログラム」は、対話情報を蓄積する。「第一購買ユーザ別対話情報選択ルール保持プログラム」は、ユーザ別に対話情報選択ルールを保持する。「第一購買対話情報選択プログラム」は、取得した購入状況情報と保持されているユーザ別対話情報選択ルールとに基づいて蓄積されている対話情報の中から適切な対話情報を選択する。「第一購買対話情報出力プログラム」は、選択された対話情報を出力する。プログラムのより詳細な動作は各構成の説明で記載される動作を実現するものであり詳細はそちらを参照のこと。これら不揮発性メモリからメインメモリにコピーされた一連のプログラムの実行命令に基づいてこれらのプログラムが順次又は常時実行される。なお、データとしては、ユーザ識別情報（場合によりこれに関連付けられるユーザ属性情報）、外部情報（ＳＮＳユーザ関連情報を含む）、購買履歴情報、宣伝広告発信履歴情報、第一購買分析ルール、購入状況情報、対話情報、ユーザ別対話情報選択ルール、選択した対話情報、図示しない通信など各種の設定情報等が不揮発性メモリに保持され、主メモリにロードされ、一連のプログラム実行に際して参照され、利用される。 Embodiment 22 Hardware Configuration
FIG. 61 is a diagram showing an example of a hardware configuration of the twenty-second embodiment. As shown in the figure, basically, it can be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. As shown in this figure, as a program constituting the hardware of the twenty-second embodiment, the "first purchase user identification information holding program" holds user identification information. The “first purchase SNS user related information acquisition program” acquires SNS user related information. This is done via an interface program with the SNS. The “first purchase history information acquisition program” acquires purchase history information of the user from an external learning system used by the user. The “first purchase advertisement advertisement dispatch history information acquisition program” acquires a advertisement advertisement dispatch history. The "first purchase analysis rule holding program" holds the first purchase analysis rule. The “first purchase purchase situation information analysis acquisition program” acquires purchase situation information from external information, purchase history information, and advertisement transmission history information based on analysis based on the first purchase analysis rule. The "first purchase dialogue information accumulation program" accumulates dialogue information. The “first purchase user-based dialogue information selection rule holding program” holds dialogue information selection rules for each user. The “first purchase dialogue information selection program” selects appropriate dialogue information from among the dialogue information stored based on the acquired purchase status information and the held user dialogue information selection rule. The "first purchase dialogue information output program" outputs the selected dialogue information. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory. As data, user identification information (user attribute information sometimes associated with it), external information (including SNS user related information), purchase history information, advertisement transmission history information, first purchase analysis rule, purchase status Information, dialog information, user-specific dialog information selection rules, selected dialog information, various setting information such as communication not shown, etc. are held in non-volatile memory, loaded into main memory, referenced and used when executing a series of programs Ru.
　＜実施形態２２　処理の流れ＞
　図６２は、実施形態２２の処理の流れの一例を示す図である。図に示すように、ユーザ識別情報を保持する第一購買ユーザ識別情報保持ステップ（６２０１）、ユーザのＳＮＳ関連情報を取得する第一購買ＳＮＳユーザ関連情報取得ステップ（６２０２）、購買履歴情報を取得する第一購買履歴情報取得ステップ（６２０３）、宣伝広告発信履歴情報を取得する第一購買宣伝広告発信履歴情報取得ステップ（６２０４）、第一購買分析ルールを保持する第一購買分析ルール保持ステップ（６２０５）、保持している第一購買分析ルールと外部情報と購買履歴情報と宣伝広告発信履歴情報とを用いて購入状況情報を取得する第一購買購入状況情報分析取得ステップ（６２０６）、対話情報を蓄積する第一購買対話情報蓄積ステップ（６２０７）、ユーザ別対話情報選択ルールを保持する第一購買ユーザ別対話情報選択ルール保持ステップ（６２０８）、ユーザ別対話情報選択ルールに基づいて出力する対話情報を選択する第一購買対話情報選択ステップ（６２０９）、選択した対話情報を出力する第一購買対話情報出力ステップ（６２１０）と、からなる。 <The flow of the twenty-second embodiment>
FIG. 62 is a diagram illustrating an example of a process flow of the twenty-second embodiment. As shown in the figure, the first purchase user identification information holding step (6201) for holding user identification information, the first purchase SNS user related information acquisition step (6202) for acquiring SNS related information of the user, acquisition of purchase history information First purchasing history information acquisition step (6203), acquiring first advertising advertisement transmission history information acquiring step (6204), holding first purchasing analysis rule, and holding first purchasing analysis rule ( 6205) First purchase and purchase status information analysis acquisition step (6206) of acquiring purchase status information using the held first purchase analysis rule, external information, purchase history information, and advertisement transmission history information, dialogue information First purchase dialogue information accumulation step (6207) of storing the first purchase Information selection rule holding step (6208), first purchase interaction information selection step (6209) for selecting interaction information to be output based on user-specific interaction information selection rules, first purchase interaction information output step for outputting selected interaction information And (6210).
＜実施形態２３＞
＜実施形態２３　発明の概要＞
　実施形態２３の対話式購入促進システムは、独立の実施形態ではあるが、実施形態２２に記載の機能に加えて、第一購買行動・ライフログ情報取得部を有することを特徴とする。 Embodiment 23
<Embodiment 23 Outline of the Invention>
The interactive purchase promotion system according to the twenty-third embodiment is an independent embodiment, but is characterized by having a first purchase behavior / life log information acquisition unit in addition to the functions described in the twenty-second embodiment.
　＜実施形態２３　発明の構成＞
　図６３は実施形態２３の対話式購入促進システムの構成の一例を示す図である。図６３に示すように、実施形態２３の対話式購入促進システムは、第二購買ユーザ識別情報保持部（６３０１）、第二購買ＳＮＳユーザ関連情報取得部（６３０２）、第二購買履歴情報取得部（６３０３）、第二購買宣伝広告発信履歴情報取得部（６３０４）、第二購買行動・ライフログ情報取得部（６３０５）、第二購買分析ルール保持部（６３０６）、第二購買購入状況情報分析取得部（６３０７）、第二購買対話情報蓄積部（６３０８）、第二購買ユーザ別対話情報選択ルール保持部（６３０９）、第二購買対話情報選択部（６３１０）、第二購買対話情報出力部（６３１１）と、からなる。 <Embodiment 23 Configuration of the Invention>
FIG. 63 is a view showing an example of the configuration of the interactive purchase promotion system of the twenty-third embodiment. As shown in FIG. 63, the interactive purchase promotion system of Embodiment 23 includes a second purchase user identification information holding unit (6301), a second purchase SNS user related information acquisition unit (6302), and a second purchase history information acquisition unit. (6303), second purchase advertisement advertisement transmission history information acquisition unit (6304), second purchase behavior / life log information acquisition unit (6305), second purchase analysis rule holding unit (6306), second purchase purchase status information analysis Acquisition unit (6307), second purchase dialogue information storage unit (6308), second purchase user classified dialogue information selection rule holding unit (6309), second purchase dialogue information selection unit (6310), second purchase dialogue information output unit And (6311).
＜実施形態２３　構成の説明＞
＜実施形態２３　実施形態２２と同様の働きをする実施形態２３の構成について＞
　「第二購買ユーザ識別情報保持部」は実施形２２に示した第一購買ユーザ識別情報と、「第二購買ＳＮＳユーザ関連情報所得部」は実施形態２２に示した第一購買ＳＮＳユーザ関連情報取得部と、「第二購買履歴情報取得部」は実施形態２２に示した第一購買履歴情報取得部と、「第二購買宣伝広告発信履歴情報取得部」は実施形態２２に示した第一購買宣伝広告発信履歴情報取得部と、「第二購買対話情報出力部」は実施形態２２に示した第一購買対話情報出力部と、「第二購買対話情報蓄積部」は実施形態２２に示した第一購買対話情報蓄積部と、「第二購買ユーザ別対話情報選択ルール保持部」は実施形態２２に示した第一購買ユーザ別対話情報選択ルール保持部と、「第二購買対話情報選択部」は施形態２２に示した第一購買対話情報選択部と、それぞれ働きが同様であり説明済みである。 <Description of the configuration of the twenty-third embodiment>
<Embodiment 23 Regarding the Configuration of Embodiment 23 Having the Same Function as Embodiment 22>
The “second purchase user identification information holding unit” is the first purchase user identification information shown in the embodiment 22, and the “second purchase SNS user related information acquisition unit” is the first purchase SNS user related information shown in the twenty-second embodiment The acquisition unit and the “second purchase history information acquisition unit” are the first purchase history information acquisition unit shown in the twenty-second embodiment, and the “second purchase advertisement advertisement transmission history information acquisition unit” is the first embodiment shown in the twenty-second embodiment The purchase advertisement advertisement transmission history information acquisition unit, the "second purchase dialogue information output unit" indicates the first purchase dialogue information output unit described in the twenty-second embodiment, and the "second purchase dialogue information storage unit" indicates the twenty-second embodiment The first purchase dialogue information storage unit and the "second purchase user classified dialogue information selection rule holding unit" are the first purchase user classified dialogue information selection rule holding unit described in the twenty-second embodiment, and the "second purchase dialogue information selection" Part is the first purchase interaction information shown in the embodiment 22. A selection unit, a work each is the same as already described.
＜実施形態２３　第二購買行動・ライフログ情報取得部＞
　「第二購買行動・ライフログ情報取得部」は、ユーザ識別情報と関連付けてユーザの行動又は／及びライフログを示す情報である行動・ライフログ情報を取得する。「行動・ライフログ情報」とは、ユーザが移動した情報を意味するＧＰＳ情報であったり、車を使って移動した情報を意味するドライブレコーダーの情報であったり、ＥＴＣの支払い履歴情報であったり、出かけた先で支払いを行った場合の決算履歴情報、特定の店舗への訪問情報、特定の店舗での体験情報、インターネット検索・視聴履歴、試供品請求・配布情報、カタログ要求・配布情報、商店街・ショッピングモール訪問情報、商店街・ショッピングモール内移動情報（屋内位置測定技術による）、店舗内視線移動情報（店舗内カメラによる視線検出）、電話による商品等問い合わせ情報、駐車場利用情報、レストラン利用・予約情報、自動販売機利用情報、電子マネー支払情報、ネットショッピング利用情報、タクシー（特に自動運転）乗車情報、宅配注文情報、アトラクション利用情報、在宅時間情報、美容院利用情報、マッサージ利用情報、病院利用情報、映画利用情報、エステ利用情報、クーポン（特に電子化されているもの）利用情報、有料コンテンツ利用情報（特にインターネット経由）、動画視聴履歴、交通機関利用履歴などの一以上を含む。さらに、ユーザの身体的な状態を示すライフログとして、心拍数、脈拍数、呼吸数、体温、筋肉の収縮・弛緩の度合い、脳波、血流速度、血中酸素濃度、血中アルコール量、アレルギー反応の程度、疲労物質の蓄積の程度、等の一以上を含むように構成してもよい。 <Embodiment 23 Second Purchasing Behavior / Life Log Information Acquisition Unit>
The “second purchase behavior / life log information acquisition unit” acquires behavior / life log information that is information indicating a user behavior or / and a life log in association with the user identification information. "Action / life log information" is GPS information that means information moved by the user, drive recorder information that means information moved using a car, or ETC payment history information Financial statement history information when you went out, payment information to visit a specific store, experience information in a specific store, Internet search · viewing history, sample request · distribution information, catalog request · distribution information, Shopping mall · shopping mall visit information, shopping mall · shopping mall movement information (by indoor positioning technology), in-store gaze movement information (gaze detection by in-store camera), product inquiry information by telephone, parking lot usage information, Restaurant use / reservation information, vending machine use information, electronic money payment information, online shopping use information, taxi ) Ride information, home delivery order information, attraction usage information, at-home time information, beauty salon usage information, massage usage information, hospital usage information, movie usage information, beauty treatment usage information, coupon (especially computerized) usage information, Includes one or more of paid content usage information (especially via the Internet), video viewing history, transportation usage history, etc. Furthermore, as a life log indicating the physical condition of the user, heart rate, pulse rate, respiration rate, body temperature, degree of muscle contraction / relaxation, electroencephalogram, blood flow rate, blood oxygen concentration, blood alcohol content, allergy It may be configured to include one or more of the degree of reaction, the degree of accumulation of fatigue material, and the like.
　ユーザ識別情報に関連付けて保持されるユーザ属性情報は、対話式購入促進システムの利用開始時にユーザ自身に登録させるように構成することができる。この登録があってこの対話式購入促進システムが利用可能になるように構成することができる。さらにユーザ属性情報は、既にユーザが利用している他のシステムから移転ないしコピーして取得するように構成することもできる。例えば利用履歴がある店、百貨店、スーパー、ウエブ上の商品購入サイト、アプリケーションによる商品購入システム等のデータや、ユーザが利用している家計ソフト、ユーザが利用している税理士や公認会計士が管理するコンピュータシステム、ユーザが利用している電子マネーのシステムから取得する情報、ユーザが利用しているクレジットカードのシステムからの情報、トレーニングアプリ等の施設が保有するデータ等を利用できる。 The user attribute information held in association with the user identification information can be configured to be registered by the user at the start of use of the interactive purchase promotion system. With this registration, the interactive purchase promotion system can be configured to be available. Furthermore, the user attribute information can be configured to be transferred or acquired from another system already used by the user. For example, data such as a store having a usage history, a department store, a supermarket, a product purchase site on the web, a product purchase system based on an application, household finance software used by a user, tax administrator managed by a user Information obtained from a computer system, a system of electronic money used by a user, information from a system of credit card used by a user, data held by a facility such as a training application can be used.
　ユーザ属性情報の登録は、（１）購入履歴（又は、宣伝広告発信履歴や受信履歴）がある場合には最初の購入（又は、宣伝広告の閲覧、受信）、または、２回目以降の購入（又は、宣伝広告の閲覧、受信）に際してユーザ属性を登録するように構成ことができる。この登録は、購入（又は宣伝広告の閲覧）がネット経由の場合には、ネット経由にて登録するように構成することができる。２回目以降の購入に際してユーザ属性を登録した場合には、ウエブ経由の場合には、最初に購入（又は宣伝広告の閲覧、受信）した際の端末にクッキーを送信して、２回目以降の購入に際しての登録の際に、同じ端末の購入ウエブページのクッキーを介して記録してあったアクセス・購入実績を遡及的に購入履歴として記録するように構成することもできる。
　ただし、購入したネット自体が会員制ショッピングモール、クレジットカード会社のウエブショッピングのような場所で登録の場合には、ショッピングモールに登録した際の登録済みユーザ属性を流用可能である。さらにユーザ属性を流用する構成とする場合には、流用情報と新規の購入（宣伝広告の閲覧、受信）の際のユーザ属性登録事項をミックスしてユーザ属性とするように構成してもよい。さらに登録はウエブオフライン（はがき、手紙、電子メール等）でするように構成することも可能である。オフラインで登録する場合には、人による入力作業又は、機械的文字読み取りによる入力が行われるように構成することもできる。通販雑誌などの紙媒体の場合には、通販会員登録時にはがき、手紙、ウエブサイトなどからユーザ属性を登録するように構成することもできる。
　クレジットカード会社が行っている通信販売の場合も同様である。さらに、購入履歴がなく、宣伝広告にアクセスしただけのユーザのユーザ属性の登録は、宣伝広告のプッシュ通知の登録の際に宣伝広告の登録申し込みウエブ画面から登録、又は、メールによって登録するように構成してもよい。さらに宣伝広告を閲覧するコンピュータ内にクッキーを送信して、そのコンピュータ上で行われる各種情報取得や、コンピュータ内に保存されているユーザ属性を取得するように構成することもできる。ユーザ属性の登録は、宣伝広告のプッシュ通知登録等の後、商品購入があった場合には、さらに詳細なユーザ属性を登録して併せてユーザ属性とすることも可能である。 The registration of the user attribute information is (1) the first purchase (or the viewing and receiving of the advertisement) if there is a purchase history (or the advertisement advertisement sending history or the reception history), or the second or later purchase ( Alternatively, the user attribute can be registered at the time of viewing and receiving the advertisement. This registration can be configured to be registered via the Internet if the purchase (or browsing of the advertisement) is via the Internet. When the user attribute is registered for the second and subsequent purchases, in the case of via the web, the cookie is transmitted to the terminal at the time of the first purchase (or viewing and receiving of the advertisement), and the second and subsequent purchases At the time of registration, it is also possible to configure to record retrospectively access / purchase results recorded via the cookie of the purchase web page of the same terminal as purchase history.
However, in the case where the purchased net itself is registered at a place such as a member-oriented shopping mall or web shopping of a credit card company, it is possible to divert the registered user attribute when registered in the shopping mall. Furthermore, in the case of using a configuration in which user attributes are diverted, user attribute registration items at the time of diversion information and new purchase (browse and reception of advertisement) may be mixed and used as user attributes. Furthermore, the registration can be configured to be web off-line (postcard, letter, e-mail, etc.). In the case of offline registration, it may be configured to be input by a human input operation or by mechanical character reading. In the case of a paper medium such as a mail order magazine, the user attribute may be registered from a letter, a web site, etc., at the time of mail order membership registration.
The same is true for mail order services made by credit card companies. Furthermore, there is no purchase history, and registration of the user attribute of the user who only accesses the advertisement can be registered from the advertisement registration registration application web screen or registered by mail when registering the push notification of the advertisement. It may be configured. Furthermore, it is possible to transmit a cookie to a computer that browses an advertisement, thereby acquiring various information performed on the computer and acquiring a user attribute stored in the computer. The registration of the user attribute can also be made by registering a more detailed user attribute and combining it as the user attribute, when there is a product purchase after the push notification registration of advertisement and the like.
＜実施形態２３　第二購買分析ルール保持部＞
　「第二購買分析ルール保持部」は、ユーザ識別情報と関連付けて外部情報と、購買履歴情報と、宣伝広告発信履歴情報と、行動・ライフログ情報と、を購入状況の把握の観点で分析して購入状況情報を取得するためのルールである第二購買分析ルールを保持する。第二購買分析ルールは、行動・ライフログ情報をユーザがどの程度特定商品の購入に意欲的か、という特定商品とユーザとの距離感を示す情報の生成に利用される。例えば行動・ライフログにはユーザを特定しないで一般の行動・ライフログとして採りうるもの全般に特定商品の購入との関係で値が付与されてデータベースなどに保存されており、ユーザの行動・ライフログを特定商品との関係で点数化することができる。例えばＴ社の特定の自動車が特定商品である場合には、その自動車のディーラーを訪問する行動・ライフログには高い値が付されており、さらにそのディーラーにてその自動車の試乗にはさらに高い値が付されている、という具合である。特定商品との関係ですべての行動・ライフログに値が付与されている必要はなく、一部に値が付与されていればよい。従って、ユーザの行動・ライフログとして取得されたものすべてが特定商品との関係で意味を持つように設計する必要はない。なお、多数のあるいは一人のユーザの行動・ライフログと、多数のあるいは一人のユーザの購買履歴情報との関係性を人工知能などによって算出し、データベースに保存されている行動・ライフログに付与される特定商品との関係で与えられる値を更新してゆくことが考えられる。なお、この関係性の算出はユーザ属性ごとに分析してもよい。 Embodiment 23 Second Purchasing Analysis Rule Holding Unit
The “second purchase analysis rule holding unit” analyzes external information, purchase history information, advertising / advertisement dispatch history information, and action / life log information in association with user identification information from the viewpoint of grasping the purchase status. Hold a second purchase analysis rule, which is a rule for acquiring purchase status information. The second purchase analysis rule is used to generate information indicating the sense of distance between the specific product and the user, such as how much the user is willing to purchase the specific product with the behavior / life log information. For example, in the action / life log, values that can be taken as a general action / life log without specifying the user are generally assigned values in relation to the purchase of a specific product, and stored in a database or the like. Logs can be scored in relation to specific products. For example, when a specific car of company T is a specific product, the action / life log for visiting the car dealer is assigned a high value, and the dealer further raises the test ride of the car. It is the condition that the price is attached. Values need not be assigned to all behavior / lifelogs in relation to a specific product, as long as some values are assigned. Therefore, it is not necessary to design everything that has been acquired as the user's behavior / life log so as to have a meaning in relation to a specific product. In addition, the relationship between the behavior / life log of many or one user and the purchase history information of many or one user is calculated by artificial intelligence etc. and added to the behavior / life log stored in the database. It is possible to update the value given in relation to the specific product. The calculation of the relationship may be analyzed for each user attribute.
＜実施形態２３　第二購買購入状況情報分析取得部＞
　「第二購買購入状況情報分析取得部」は、ユーザ識別情報に関連付けられている取得した外部情報と、購買履歴情報と、宣伝広告発信履歴情報と、行動・ライフログ情報と、同じユーザ識別情報に関連付けられている第一購買分析ルールとに基づいて、購入状況情報を取得する。第二購買購入状況情報分析取得部の働きは、実施形態２２に示した第一購買購入状況情報分析取得部と同様であり、説明済みである。なお、行動・ライフログ情報から算出される値をどの程度の重み付けをもって購入状況情報の値に寄与させるかはシステムの設計思想による。 <Embodiment 23 Second purchase status information analysis acquisition unit>
The “second purchase and purchase status information analysis acquisition unit” is the same user identification information as the acquired external information associated with the user identification information, the purchase history information, the advertisement transmission history information, and the action / life log information. The purchase status information is acquired based on the first purchase analysis rule associated with. The function of the second purchase purchase situation information analysis acquisition unit is the same as that of the first purchase purchase situation information analysis acquisition unit shown in the twenty-second embodiment, and has already been described. It should be noted that how much weight the value calculated from the action / life log information is to be contributed to the value of the purchase situation information depends on the design concept of the system.
　＜実施形態２３　ハードウェア構成＞
　図６４は実施形態２３のハードウェア構成を示す図である。この図にあるように本発明は、基本的に汎用コンピュータとプログラム、各種デバイスで構成することが可能である。コンピュータの動作は基本的に不揮発性メモリに記録されているプログラムやデータを主メモリにロードして、主メモリとＣＰＵと各種デバイスとで処理を実行していく形態をとる。デバイスとの通信は、バス線と繋がったインターフェイスを介して行われる。この図にあるように実施形態２３のハードウェアを構成するプログラムのうち、実施形態２２のプログラムと共通の動作をするプログラムについては説明を省略する。本実施形態で新たに加わる、「第二購買行動・ライフログ情報取得プログラム」は、行動・ライフログ情報を取得する。「第二購買購入状況分析取得プログラム」は、第二購買分析ルールに基づく分析によって、外部情報と購買履歴情報と宣伝広告発信履歴情報と行動・ライフログ情報と、から購入状況情報を取得する。プログラムのより詳細な動作は各構成の説明で記載される動作を実現するものであり詳細はそちらを参照のこと。これら不揮発性メモリからメインメモリにコピーされた一連のプログラムの実行命令に基づいてこれらのプログラムが順次又は常時実行される。なお、データとしては、ユーザ識別情報（場合によりこれに関連付けられるユーザ属性情報）、外部情報（ＳＮＳユーザ関連情報を含む）、購買履歴情報、宣伝広告発信履歴情報、行動・ライフログ情報、第二購買分析ルール購入状況情報、対話情報、ユーザ別対話情報選択ルール、選択した対話情報、図示しない通信など各種の設定情報等が不揮発性メモリに保持され、主メモリにロードされ、一連のプログラム実行に際して参照され、利用される。 Embodiment 23 Hardware Configuration
FIG. 64 is a diagram showing a hardware configuration of the twenty-third embodiment. As shown in this figure, the present invention can basically be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. Among the programs constituting the hardware of the twenty-third embodiment as shown in this figure, the description of the programs which operate in common with the program of the twenty-second embodiment will be omitted. The “second purchasing behavior / life log information acquisition program” newly added in this embodiment acquires behavior / life log information. The “second purchase purchase situation analysis acquisition program” acquires purchase situation information from external information, purchase history information, advertising / advertisement dispatch history information, and action / life log information by analysis based on the second purchase analysis rule. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory. As data, user identification information (user attribute information associated with it in some cases), external information (including SNS user related information), purchase history information, advertisement transmission history information, action / life log information, second Purchase analysis rules Purchase status information, dialogue information, dialogue information selection rules for each user, selected dialogue information, various setting information such as communication not shown, etc. are held in non-volatile memory, loaded to main memory, and a series of programs executed Referenced and used.
　＜実施形態２３　処理の流れ＞
　図６５は、実施形態２２の処理の流れの一例を示す図である。この図に示すように、第二購買ユーザ識別情報保持ステップ（６５０１）、第二購買ＳＮＳユーザ関連情報取得ステップ（６５０２）、第二購買履歴情報取得ステップ（６５０３）、第二購買宣伝広告発信履歴情報取得ステップ（６５０４）、第二購買行動・ライフログ情報を取得する第二購買行動・ライフログ情報取得ステップ（６５０５）、第二購買分析ルール保持ステップ（６５０５）、第二購買購入状況情報分析取得ステップ（６５０７）、第二購買対話情報蓄積ステップ（６５０８）、第二購買ユーザ別対話情報選択ルール保持ステップ（６５０９）、第二購買対話情報選択ステップ（６５１０）、第二購買対話情報出力ステップ（６５１１）と、からなる。 <The flow of the twenty-third embodiment>
FIG. 65 is a diagram illustrating an example of a process flow of the twenty-second embodiment. As shown in this figure, the second purchase user identification information holding step (6501), the second purchase SNS user related information acquisition step (6502), the second purchase history information acquisition step (6503), the second purchase advertisement advertisement transmission history Information acquisition step (6504), second purchasing behavior / life log information acquiring step (6505), second purchasing analysis rule holding step (6505), second purchasing status information analysis Acquisition step (6507), second purchase dialogue information accumulation step (6508), second purchase user classified dialogue information selection rule holding step (6509), second purchase dialogue information selection step (6510), second purchase dialogue information output step And (6511).
　＜実施形態２４＞
　＜実施形態２４　発明の概要＞
　　実施形態２４の対話式購入促進システムは、実施形態２２又は実施形態２３に記載の特徴に加えて、出力した対話情報の有効性を判断する機能を有することを特徴とする。 Embodiment 24
<Embodiment 24 Outline of the Invention>
The interactive purchase promotion system of the twenty-fourth embodiment is characterized by having a function of determining the validity of the outputted dialogue information in addition to the feature described in the twenty-second embodiment or the twenty-third embodiment.
　＜実施形態２４　発明構成＞
　図６６は、実施形態２２に従属する実施形態２３の対話式購入促進システムの構成の一例を示す図である。図６６に示すように、実施形態２３の対話式購入促進システムは、第一購買ユーザ識別情報保持部（６６０１）、第一購買ＳＮＳユーザ関連情報取得部（６６０２）、第一購買履歴情報取得部（６６０３）、第一購買宣伝広告発信情報取得部（６６０４）、第一購買分析ルール保持部（６６０５）、第一購買購入状況情報分析取得部（６６０６）、第一購買対話情報蓄積部（６６０７）、第一購買ユーザ別対話情報選択ルール保持部（６６０８）、第一購買対話情報選択部（６６０９）、第一購買対話情報出力部（６６１０）、購買有効性判断ルール保持部（６６１１）、購買対話情報有効性判断部（６６１２）と、からなる。本実施形態では、実施形態２２又は実施形態２３との共通の構成の説明は省略し、本実施形態に特有の構成についてのみ説明する。 <Embodiment 24 Invention Configuration>
FIG. 66 is a diagram showing an example of a configuration of an interactive purchase promotion system according to an embodiment 23 subordinate to the embodiment 22. As shown in FIG. 66, the interactive purchase promotion system according to the twenty-third embodiment includes a first purchase user identification information holding unit (6601), a first purchase SNS user related information acquisition unit (6602), and a first purchase history information acquisition unit. (6603), first purchase advertisement advertisement transmission information acquisition unit (6604), first purchase analysis rule holding unit (6605), first purchase purchase status information analysis acquisition unit (6606), first purchase dialogue information storage unit (6607 First purchase user classified dialogue information selection rule holding unit (6608), first purchase dialogue information selection unit (6609), first purchase dialogue information output unit (6610), purchase validity judgment rule holding unit (6611), And a purchase dialogue information validity judgment unit (6612). In the present embodiment, the description of the configuration common to the twenty-second embodiment or the twenty-third embodiment is omitted, and only the configuration unique to the present embodiment will be described.
＜実施形態２４　構成の説明＞
＜実施形態２４　購買有効性判断ルール保持部＞
　「購買有効性判断ルール保持部」は、出力された対話情報に対して取得された購入状況情報に基づいて対話情報が有効であったかを判断するルールである購買有効性判断ルールを保持する。購買有効性判断ルールは出力した対話情報の選択の起因となった購入状況情報に関連する特定商品の購入状況情報に基づいて有効性を判断する。特に、特定商品の購入状況情報に基づく特定商品との距離感（特定商品の購入意欲の強さ）がどのように変化したかによって出力された対話情報の有効性を推定することができる。対話情報に基づいて特定商品を購入した場合には、購入履歴情報に記録される購入履歴と、購入状況情報で示される購入済みという情報は等しい情報となり、この場合に限って購入履歴情報にのみ基づいて対話情報の有効性を判断するという構成にしてもよく、この構成は本実施形態に実質的に含まれるものとする。 <Description of the configuration of the twenty-fourth embodiment>
<The twenty-fourth embodiment of the purchase validity judgment rule holding unit>
The “purchase effectiveness determination rule holding unit” holds a purchase effectiveness determination rule which is a rule for determining whether the dialog information is valid based on the acquired purchase status information with respect to the output dialog information. The purchase validity determination rule determines the validity based on the purchase status information of the specific product related to the purchase status information that is the cause of the selection of the output dialogue information. In particular, it is possible to estimate the effectiveness of the outputted dialogue information depending on how the sense of distance to the specific product (the strength of purchase intention of the specific product) based on the purchase status information of the specific product has changed. When a specific product is purchased based on the dialogue information, the purchase history recorded in the purchase history information and the information indicating that the purchase has been completed, which is indicated by the purchase status information, become the same information, and in this case only The configuration may be such that the effectiveness of the dialogue information is determined based on this, and this configuration is substantially included in the present embodiment.
　「購買有効性判断ルール」は、購入状況情報に基づいてどのように購入状況を改善ないし維持すればよいかという背景目的があり、その背景目的を達成するためにプラスの影響を与える対話情報であったか、という観点から対話情報の特定商品との関係における有効性を判断をするルールである。購買有効性判断ルールにおいても、対話式健康促進システム及び対話式学習促進システムと同様に、誘導対話およびユーザの否定的反応に対する評価について、有効性を判断可能な構成にしておくことが考えられる。誘導対話、ユーザの否定的反応に対する評価、性格の類型についての説明は、実施形態６において説明済みである。誘導対話の有効性やユーザの否定的反応に対する評価を判断することによって、前述のあきらめないルール又は及びあきらめないプロセスにユーザの属性をより正確に反映させることが可能となり、ユーザに対する粘り強い、繰り返し行われる、あの手この手で攻略する、という対話方法の制度を高めることができる。 The “purchase effectiveness judgment rule” has a background purpose of how to improve or maintain the purchase situation based on the purchase situation information, and is dialogue information that has a positive impact to achieve the background purpose. It is a rule that determines the effectiveness of the dialog information in relation to a specific product from the viewpoint of whether it has been. Also in the purchase effectiveness determination rule, as in the interactive health promotion system and the interactive learning promotion system, it is conceivable that the effectiveness can be determined for the guidance dialogue and the evaluation for the negative reaction of the user. The guidance dialogue, the evaluation for the negative reaction of the user, and the description of the character types have already been described in the sixth embodiment. By judging the effectiveness of the guidance dialogue and the evaluation for the negative reaction of the user, it is possible to more accurately reflect the user's attributes in the above-mentioned non-give-up rule and / or the non-give-up process, which makes the user persistent It is possible to enhance the system of dialogue method of attacking with that kind of hand.
＜実施形態２４　購買対話情報有効性判断部＞
　「購買対話情報有効性判断部」は、出力された対話情報とこの対話情報に対して取得された購入状況情報と、購買対話情報有効性判断ルールとに基づいて対話情報の有効性を判断する。対話情報の有効性は値で示されるように構成する。最も有効性が高いと判断されるのは、例えば「特定商品の購入があった場合」「特定商品の継続購買契約があった場合」などであるが、システムの設計思想に基づく購入状況情報の演算論理によってバラエティに富んでよい。数値としての表現形式は上限を定めない数値としてもよいし、上限と下限を定めた数値範囲内で有効性を表現してもよい。また有効性の値はプラスのみでなく、マイナス値を取りうるように構成してもよい。対話情報が特定商品の購入に向けて逆効果的となった場合である。一例としては購入状況情報で示される値が対話情報の出力前よりも低い値となる場合である。なお、購入状況情報に代えて又は加えて購入履歴情報を用いて対話情報の有効性の判断処理を行うように構成してもよい。 <Embodiment 24: Purchase dialogue information validity judgment unit>
The “purchase dialogue information validity judgment unit” judges the validity of the dialogue information based on the outputted dialogue information, the purchase status information acquired for the dialogue information, and the purchase dialogue information validity judgment rule. . The validity of the dialogue information is configured as indicated by a value. What is judged to be the most effective is, for example, "when there is a purchase of a specific product", "when there is a continuing purchase contract for a specific product", etc. It can be rich in variety by arithmetic logic. The expression format as a numerical value may be a numerical value without an upper limit, or the effectiveness may be expressed within a numerical range in which an upper limit and a lower limit are defined. Also, the effectiveness value may be configured not only to be positive but also to be negative. It is a case where the dialogue information becomes counterproductive to the purchase of a specific product. As an example, the value indicated by the purchase status information is lower than that before the output of the dialogue information. The processing for judging the effectiveness of the dialogue information may be performed using the purchase history information instead of or in addition to the purchase status information.
＜実施形態２４　ハードウェア構成＞
　図６７は実施形態２４のハードウェア構成を示す図である。この図にあるように本発明は、基本的に汎用コンピュータとプログラム、各種デバイスで構成することが可能である。コンピュータの動作は基本的に不揮発性メモリに記録されているプログラムやデータを主メモリにロードして、主メモリとＣＰＵと各種デバイスとで処理を実行していく形態をとる。デバイスとの通信は、バス線と繋がったインターフェイスを介して行われる。この図にあるように実施形態２４のハードウェアを構成するプログラムのうち、実施形態２２又は２３と共通の動作をするプログラムについてはすでに説明済みであり説明を省略する。本実施形態に加わるプログラムとして、「購買有効性判断ルール保持プログラム」は、購買有効性判断ルールを保持する。「購買対話情報有効性判断プログラム」は、購買有効性判断ルールに基づいて出力した対話情報の有効性を判断する。プログラムのより詳細な動作は各構成の説明で記載される動作を実現するものであり詳細はそちらを参照のこと。これら不揮発性メモリからメインメモリにコピーされた一連のプログラムの実行命令に基づいてこれらのプログラムが順次又は常時実行される。なお、データとしては、ユーザ識別情報（場合によりこれに関連付けられるユーザ属性情報）、外部情報（ＳＮＳユーザ関連情報を含む）、購買履歴情報、宣伝広告発信履歴情報、第一購買分析ルール、購入状況情報、対話情報、ユーザ別対話情報選択ルール、選択した対話情報、購買有効性判断ルール、購買有効性判断結果、図示しない通信など各種の設定情報等が不揮発性メモリに保持され、主メモリにロードされ、一連のプログラム実行に際して参照され、利用される。 Twenty-Fourth Embodiment Hardware Configuration
FIG. 67 shows a hardware configuration of the twenty-fourth embodiment. As shown in this figure, the present invention can basically be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. Among the programs that configure the hardware of the twenty-fourth embodiment as shown in this figure, the programs that operate in common with the twenty-second embodiment or the twenty-third embodiment have already been described, and the descriptions thereof will be omitted. As a program added to the present embodiment, the “purchase effectiveness determination rule holding program” holds a purchase effectiveness judgment rule. The “purchase dialogue information validity judgment program” judges the validity of the dialogue information outputted based on the purchase validity judgment rule. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory. As data, user identification information (user attribute information sometimes associated with it), external information (including SNS user related information), purchase history information, advertisement transmission history information, first purchase analysis rule, purchase status Information, dialogue information, dialogue information selection rule by user, selected dialogue information, purchase validity judgment rule, purchase validity judgment result, various setting information such as communication not shown, etc. are held in non-volatile memory and loaded into main memory Are referred to and used during a series of program execution.
　＜実施形態２４　処理の流れ＞
　図６８は、実施形態２４の処理の流れの一例を示す図である。この図に示すように、第一購買ユーザ識別情報保持ステップ（６８０１）、第一購買ＳＮＳユーザ関連情報取得ステップ（６８０２）、第一購買履歴情報取得ステップ（６８０３）、第一宣伝広告発信履歴情報取得ステップ（６８０４）、第一購買分析ルール保持ステップ（６８０５）、第一購買購入状況情報分析取得ステップ（６８０６）、第一購買対話情報蓄積ステップ（６８０７）、第一購買ユーザ別対話情報選択ルール保持ステップ（６８０８）、第一購買対話情報選択ステップ（６８０９）、第一購買対話情報出力ステップ（６８１０）、購買有効性判断ルールを保持する購買有効性判断ルール保持ステップ（６８１１）、購買有効性判断ルールに基づいて対話情報の有効性を判断する購買対話情報有効性判断ステップ（６８１２）と、からなる。 <The flow of the twenty-fourth embodiment>
FIG. 68 is a diagram illustrating an example of a process flow of the twenty-fourth embodiment. As shown in this figure, the first purchase user identification information holding step (6801), the first purchase SNS user related information acquisition step (6802), the first purchase history information acquisition step (6803), the first advertisement advertisement transmission history information Acquisition step (6804), first purchase analysis rule holding step (6805), first purchase purchase status information analysis acquisition step (6806), first purchase dialogue information accumulation step (6807), first purchase user classified dialogue information selection rule Holding step (6808), first purchase dialogue information selection step (6809), first purchase dialogue information output step (6810), purchase validity judgment rule holding step for holding purchase validity judgment rules (6811), purchase validity Purchasing dialogue information validity judgment step of judging the validity of dialogue information based on judgment rules (6812 If, consisting of.
　＜実施形態２５　発明の概要＞
　実施形態２５の対話式購入促進システムは、実施形態２４に記載の特徴に加えて、ビックデータの統計処理によって統計的対話情報有効性判断を行うことを特徴とする。 <Outline of the twenty-fifth embodiment>
In addition to the feature described in the twenty-fourth embodiment, the interactive purchase promotion system according to the twenty-fifth embodiment is characterized in that statistical dialogue information validity judgment is performed by statistical processing of big data.
　＜実施形態２５　発明構成＞
　図６９は、実施形態２５の対話式購入促進システムの構成の一例を示す図である。図６９に示すように、実施形態２５の対話式購入促進システムは、第一購買ユーザ識別情報保持部（６９０１）、第一購買ＳＮＳユーザ関連情報取得部（６９０２）、第一購買履歴情報取得部（６９０３）、第一宣伝広告発信履歴情報取得部（６９０４）、第一購買分析ルール保持部（６９０５）、第一購買購入状況情報分析取得部（６９０６）、第一購買対話情報蓄積部（６９０７）、第一購買ユーザ別対話情報選択ルール保持部（６９０８）、第一購買対話情報選択部（６９０９）、第一購買対話情報出力部（６９１０）、購買有効性判断ルール保持部（６９１１）、購買対話情報有効性判断部（６９１２）、購買有効性統計処理ルール保持手段（６９１３）、購買統計的対話情報有効性情報取得手段（６９１４）と、からなる。本実施形態では、実施形態２４との共通の構成の説明は省略し、本実施形態に特有の構成についてのみ説明する。 <Embodiment 25 Invention Configuration>
FIG. 69 is a diagram showing an example of configuration of the interactive purchase promotion system of the twenty-fifth embodiment. As shown in FIG. 69, the interactive purchase promotion system of the twenty-fifth embodiment includes a first purchase user identification information holding unit (6901), a first purchase SNS user related information acquisition unit (6902), and a first purchase history information acquisition unit. (6903), first advertisement advertisement transmission history information acquisition unit (6904), first purchase analysis rule holding unit (6905), first purchase purchase status information analysis acquisition unit (6906), first purchase dialogue information storage unit (6907) First purchase user classified dialogue information selection rule holding unit (6908), first purchase dialogue information selection unit (6909), first purchase dialogue information output unit (6910), purchase validity judgment rule holding unit (6911), The purchase dialogue information validity judgment unit (6912), purchase validity statistical processing rule holding means (6913), and purchase statistical dialogue information validity information acquisition means (6914). In the present embodiment, the description of the configuration common to the twenty-fourth embodiment is omitted, and only the configuration unique to the present embodiment will be described.
　＜実施形態２５　構成の説明＞
　＜実施形態２５　購買有効性統計処理ルール保持手段＞
　「購買有効性統計処理ルール保持手段」は、複数のユーザの対話情報の有効性を母集団に対して一部は共通のユーザ属性ごとに統計処理するルールである購買有効性統計処理ルールを保持する購買対話情報有効性判断部が有する手段である。「母集団に対して一部は共通のユーザ属性ごとに」とは、特定商品の購入を促進させたいという共通のユーザ属性を有するユーザであることが最も代表的な例である。特定商品に共通性がなければ対話情報の有効性を比較できないからである。ただし、全く同一の商品である必要は必ずしもなく、ある程度の共通性を有している物であればよい。具体的には購入履歴を有する特定商品が共通である、宣伝広告発信履歴を有する特定商品が共通である、あるいはユーザが共通のユーザ属性を有するユーザからなる母集団となる。従って特定商品が共通なだけでなく、さらにその他のユーザ属性が共通であることを条件として絞り込みを行い、母集団を小さく分割してもよい。ただし、各ユーザが購買有効性統計処理をする時点で必ずしも特定商品に対して同じ距離感を有している、つまり同じ購入状況（購入状況情報で示される）にあるとは限らないので、統計処理は、母集団のユーザの過去の購入状況情報とそれに対応して出力された対話情報並びにその対話情報を出力した結果得られた購入状況情報の変化を含めて統計処理される。また、対話情報に関連付けて有効性判断結果が過去の履歴を含めて保持されている場合には、購入状況情報の変化を取得しないで対話情報に関連付けられている有効性を統計処理するように構成してもよい。また購入状況情報に代えて又は加えて購入履歴情報を用いて対話情報の有効性の統計処理を行うように構成してもよい。 <Description of the configuration of the twenty-fifth embodiment>
<The twenty-fifth embodiment of the purchase effectiveness statistical processing rule holding means>
The "purchase effectiveness statistical processing rule holding means" holds the purchase effectiveness statistical processing rule, which is a rule for performing statistical processing of the effectiveness of interaction information of a plurality of users for each common user attribute to the population Means that the purchase dialogue information validity judgment unit has. “A part of the population is common to each common user attribute” is a representative example of a user having a common user attribute that wants to promote the purchase of a specific product. This is because the effectiveness of the dialogue information can not be compared if the specific products do not have commonality. However, they do not necessarily have to be identical products, as long as they have a certain degree of commonality. Specifically, a specific product having a purchase history is common, a specific product having an advertisement transmission history is common, or a user is a population of users having common user attributes. Therefore, the narrowing down may be performed on the condition that not only the specific product is common but also the other user attributes are common, and the population may be divided into smaller pieces. However, at the time each user performs purchase effectiveness statistical processing, statistics do not necessarily have the same sense of distance to a specific product, that is, they are not necessarily in the same purchase status (indicated by purchase status information). The process is statistically processed including the past purchase status information of the user of the population, the corresponding dialogue information output as well as the change of the purchase status information obtained as a result of outputting the dialogue information. In addition, when the validity judgment result is held including the past history in association with the dialogue information, the effectiveness associated with the dialogue information is statistically processed without acquiring the change of the purchase status information. It may be configured. Further, instead of or in addition to the purchase status information, purchase history information may be used to perform statistical processing of the effectiveness of the dialogue information.
　＜購買有効性統計処理ルールについて＞
　「購買有効性統計処理ルール」とは、ある対話情報の統計的有効性を取得するためのルールと、ユーザ属性に合わせてアレンジされたユーザ毎に異なる対話情報の同一性を確定するためのルールと、の二つによって構成されている。また、購買有効性統計処理ルールは、導入対話及びユーザの否定反応に対する評価についても、統計的有効性を判断可能に構成しておくことが考えられる。導入対話情報、否定的反応に対する評価、性格の類型についての説明は、対話式健康促進システムの実施形態６において説明済みである。誘導対話の有効性やユーザの否定的反応に対する評価を判断することによって、前述のあきらめないルール又は及びあきらめないプロセスにユーザの属性をより正確に反映させることが可能となり、ユーザに対する粘り強い、繰り返し行われる、あの手この手で攻略する、という対話方法の制度を高めることができる。 <About purchase effectiveness statistical processing rules>
The “purchase effectiveness statistical processing rule” is a rule for acquiring statistical effectiveness of certain dialogue information, and a rule for determining the sameness of dialogue information different for each user arranged in accordance with the user attribute. And is composed of two. In addition, it is conceivable that the purchase effectiveness statistical processing rule can be configured so as to be able to judge statistical effectiveness also for the introduction dialogue and the evaluation for the negative reaction of the user. The introductory dialogue information, the evaluation for negative reaction, and the description of the type of personality have been described in the sixth embodiment of the interactive health promotion system. By judging the effectiveness of the guidance dialogue and the evaluation for the negative reaction of the user, it is possible to more accurately reflect the user's attributes in the above-mentioned non-give-up rule and / or the non-give-up process, which makes the user persistent It is possible to enhance the system of dialogue method of attacking with that kind of hand.
　特定商品の購入履歴があるユーザの母集団の中でさらにユーザ属性に応じて母集団を絞り込むことができる。例えば特定商品と代替可能性がある商品を所有するという属性を有するユーザである。このようにさらに絞り込んたユーザの属性に応じた統計的な分析も可能であり、個別には効果が高いと認められていない対話情報（個別には効果がいまだに不明な対話情報）であっても、統計的に特定の属性を有するユーザにとって効果が高いことが確認された対話情報は、システムは積極的に、又はタイミングを見計らって、その対話情報の選択を行うことが可能となる。 The population can be further narrowed according to the user attribute in the population of users who have a purchase history of a specific product. For example, it is a user having an attribute of owning an item that may be replaced with a specific item. It is also possible to perform statistical analysis according to the user's attribute further narrowed down in this way, and even if it is dialogue information which is not recognized as effective individually (even dialogue information whose effect is still unknown) The dialogue information confirmed to be highly effective for the user having the statistical specific attribute enables the system to make a selection of the dialogue information actively or at a timing.
　ユーザ属性情報は、ユーザ識別情報に関連付けてユーザ属性情報保持部などに保持されるように構成されるが、このユーザ属性情報は、対話情報と応答情報とユーザ属性情報判断ルールとに基づいてユーザ属性情報保持部に保持されているユーザ属性情報を更新するように構成してもよい。さらに後述する性格診断テストを定期的に又は不定期に実施して（性格診断対話情報等を用いる）この保持されているユーザ属性情報を更新するように構成してもよい。さらに、初期のユーザ属性情報を構成するユーザの性格に関しては、各性格種毎に点数化して保持するようにしたうえで中央値を割り当てたり、ユーザに対してアンケートを行ってそのアンケート結果を保持するように構成することがが考えられる。さらに、性格はＳＮＳの会話情報を会話情報分析ルールに基づいて会話情報分析部によって分析して性格を割り出すように構成してもよい。ＳＮＳ中には友人等との間の膨大な会話が蓄積されているのでこれを有効に利用できる。さらに、ＳＮＳ中に紹介されている読書傾向、映画の好みの傾向、音楽の好み、趣味、好みの芸能人や有名人、等を分析して性格を割り出すように構成してもよい。さらには、チェックインした場所、ユーザ自身が写り込んでいる、又は写り込んでいない写真等を分析して性格を診断することができる。チェックインする場所としては、商業施設（デパート、スーパー、コンビニ、家電量販店、ファストファッション、エステ、美容院）、娯楽施設、競技場、レストラン、美術館、公園、駅、港、空港、国立公園、公立公園等で性格を分析できる。例えば、活動的か、買い物好きか、おとなしいか等である。写真では、グループ写真が多いか、一人の写真が多いか、風景写真が多いか、食べ物の写真が多いか等から性格分析が可能となる。なお、性格の分析ルールは設計ポリシーに応じて設計可能である。その他ＳＮＳで繋がっている友人の性格に応じてユーザの性格を分析することも可能である。これらのユーザ属性情報の取得方法については、実施形態２２及び実施形態２３ですでに説明した方法と同様である。 The user attribute information is configured to be held in a user attribute information holding unit or the like in association with the user identification information, but the user attribute information is a user based on the dialogue information, the response information, and the user attribute information judgment rule. The user attribute information held in the attribute information holding unit may be updated. Furthermore, a character diagnosis test to be described later may be performed regularly or irregularly (using character diagnosis dialogue information or the like) to update the held user attribute information. Furthermore, with regard to the personality of the user who composes the initial user attribute information, a score is stored for each personality type and then a median is assigned or a questionnaire is given to the user and the questionnaire result is retained. It is conceivable to configure it to Furthermore, the character may be configured to analyze the conversation information of the SNS by the conversation information analysis unit based on the conversation information analysis rule to determine the character. Since huge conversations with friends etc. are accumulated in SNS, this can be used effectively. Furthermore, it may be configured to analyze the reading tendency introduced in the SNS, the tendency of the preference of the movie, the preference of the music, the taste, the favorite entertainer or the celebrity, and the like to determine the character. Furthermore, it is possible to analyze the place where the user checked in, the photograph in which the user himself or herself is reflected, or the like, and diagnose the character. Places to check in include commercial facilities (department stores, supermarkets, convenience stores, electronics stores, fast fashion, beauty salons, beauty salons), entertainment facilities, stadiums, restaurants, museums, parks, stations, ports, airports, national parks, You can analyze the character in public parks etc. For example, whether it is active, shopping enthusiasts, or no-obsessions. In photographs, it is possible to analyze characters based on whether there are many group photographs, many photographs of one person, many scenery photographs, and many photographs of food. The character analysis rules can be designed according to the design policy. It is also possible to analyze the character of the user according to the character of the friend connected by SNS. The method of acquiring these user attribute information is the same as the method already described in the twenty-second and twenty-third embodiments.
　＜実施形態２５　購買統計的対話情報有効性情報取得手段＞
　「購買統計的対話情報有効性情報取得手段」は、複数のユーザの対話情報と、保持されている購買有効性統計処理ルールとに基づいて、統計的に対話情報の有効性を少なくとも母集団に対して一部は共通のユーザ属性ごとに判断した統計的対話情報有効性情報を取得する対話情報有効性判断部が有する手段である。前述のように、本システムにおいては、ユーザ識別情報に関連付けてそのユーザの何らかの属性情報を保持していることは前提となっていて、このような属性で母集団を構成し、属性が共通する母集団ごとに対話情報の有効性情報をまとめることで、少なくとも母集団に対して一部は共通のユーザ属性ごとに購買統計的対話情報有効性情報を取得することができる。 <Embodiment 25 Purchasing Statistical Dialogue Information Validity Information Acquisition Means>
"Purchasing statistical dialogue information validity information acquiring means" statistically makes the dialogue information valid at least in the population based on the dialogue information of a plurality of users and the held purchasing statistics processing rules. On the other hand, a part is a means included in the dialogue information validity judgment unit which acquires statistical dialogue information validity information judged for each common user attribute. As described above, in the present system, it is premised that some attribute information of the user is held in association with the user identification information, and such attributes constitute a population, and the attributes are common. By putting together the effectiveness information of the dialogue information for each population, it is possible to obtain purchase statistical dialogue information validity information for at least a part of the population for each common user attribute.
　「購買統計的対話情報有効性情報」とは、統計的に処理された結果、ユーザ属性等に応じて対話の有効度（有効度低から有効度高まで）と、各有効度を有する各種対話情報の種類数を関数として表現した情報であり、一般的に正規分布するものである。つまり、有効度「中」となる対話情報が最も数が多く（有効度平均となる対話情報の種類が最も多い）、逆に有効度「高」及び有効度「低」となる対話情報の数が減るように分布するデータ群である。このデータを用いることによってどのような会話情報がどの程度の有効性を発揮するかを知ることができ、コンピュータとしては利用することができる。対話情報を用いるテーマや目的ごとに、購買統計的対話情報有効性情報は区別して保持されるとなお良く、対話情報を用いるテーマや目的ごとに複数の情報が存在している。図２２は、購買統計的対話情報有効性情報の例示の一つであり、実施形態７で説明済みである。 "Purchasing statistical dialog information validity information" means that the dialog has effectiveness (from low effectiveness to high effectiveness) according to user attributes etc. as a result of processing statistically, and various interactions having each validity It is information that expresses the number of types of information as a function, and is generally normally distributed. In other words, the number of dialog information with the effectiveness "medium" is the largest (the number of types of dialog information that is the average of the effectiveness is the largest), and conversely the number of dialog information with the effectiveness "high" and the effectiveness "low". Is a data group distributed so as to decrease. By using this data, it can be known what kind of conversation information exerts what degree of effectiveness, and it can be used as a computer. It is better for the purchase statistical dialogue information validity information to be separately stored for each theme or purpose that uses the dialogue information, and a plurality of pieces of information exist for each theme or purpose that uses the dialogue information. FIG. 22 is one example of purchase statistical interaction information validity information, which has been described in the seventh embodiment.
＜実施形態２５　ハードウェア構成＞
　図７０は実施形態２５のハードウェア構成を示す図である。この図にあるように本発明は、基本的に汎用コンピュータとプログラム、各種デバイスで構成することが可能である。コンピュータの動作は基本的に不揮発性メモリに記録されているプログラムやデータを主メモリにロードして、主メモリとＣＰＵと各種デバイスとで処理を実行していく形態をとる。デバイスとの通信は、バス線と繋がったインターフェイスを介して行われる。この図にあるように実施形態２５のハードウェアを構成するプログラムのうち、実施形態２４との共通の動作をするプログラムについてはすでに説明済みであり説明を省略する。本実施形態に加わるプログラムとして、「購買有効性統計処理ルール保持プログラム」は、購買有効性統計処理ルールを保持する。「購買統計的対話情報有効性情報取得プログラム」は、購買有効性統計処理ルールに基づいて購買統計的対話情報有効性情報を取得する。プログラムのより詳細な動作は各構成の説明で記載される動作を実現するものであり詳細はそちらを参照のこと。これら不揮発性メモリからメインメモリにコピーされた一連のプログラムの実行命令に基づいてこれらのプログラムが順次又は常時実行される。なお、データとしては、ユーザ識別情報（場合によりこれに関連付けられるユーザ属性情報）、外部情報（ＳＮＳユーザ関連情報を含む）、購買履歴情報、宣伝広告発信履歴情報、第一購買分析ルール、購入状況情報、対話情報、ユーザ別対話情報選択ルール、選択した対話情報、購買有効性判断ルール、購買有効性判断結果、購買有効性統計処理ルール、購買統計的対話情報有効性情報、図示しない通信など各種の設定情報等が不揮発性メモリに保持され、主メモリにロードされ、一連のプログラム実行に際して参照され、利用される。 Embodiment 25 Hardware Configuration
FIG. 70 shows a hardware configuration of the twenty-fifth embodiment. As shown in this figure, the present invention can basically be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. Among the programs that configure the hardware of the twenty-fifth embodiment as shown in this figure, the programs that operate in common with the twenty-fourth embodiment have already been described, and descriptions thereof will be omitted. As a program that is added to the present embodiment, the “purchase effectiveness statistical processing rule holding program” holds a purchase effectiveness statistical processing rule. The “purchasing statistical dialogue information validity information acquiring program” acquires purchasing statistical dialogue information validity information based on the purchasing effectiveness statistical processing rule. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory. As data, user identification information (user attribute information sometimes associated with it), external information (including SNS user related information), purchase history information, advertisement transmission history information, first purchase analysis rule, purchase status Information, dialogue information, dialogue information selection rule by user, selected dialogue information, purchase validity judgment rule, purchase validity judgment result, purchase validity statistical processing rule, purchase statistical dialogue information validity information, communication not shown, etc. The setting information and the like are stored in the non-volatile memory, loaded into the main memory, and referenced and used in executing a series of programs.
　＜実施形態２５　処理の流れ＞
　図７１は、実施形態２５の処理の流れの一例を示す図である。この図に示すように、第一購買ユーザ識別情報保持ステップ（７１０１）、第一購買ＳＮＳユーザ関連情報取得ステップ（７１０２）、第一購買履歴情報取得ステップ（７１０３）、第一宣伝広告発信履歴情報取得ステップ（７１０４）、第一購買分析ルール保持ステップ（７１０５）、第一購買購入状況情報分析取得ステップ（７１０６）、第一購買対話情報蓄積ステップ（７１０７）、第一購買ユーザ別対話情報選択ルール保持ステップ（７１０８）、第一購買対話情報選択ステップ（７１０９）、第一購買対話情報出力ステップ（７１１０）、購買有効性判断ルール保持ステップ（７１１１）、購買対話情報有効性判断ステップ（７１１２）、購買有効性統計処理ルールを保持するための購買有効性統計処理ルール保持サブステップ（７１１３）、購買有効性統計処理ルールに基づいて購買統計的対話情報有効性情報を取得する購買統計的対話情報有効性情報取得サブステップ（７１１４）と、からなる。 The flow of the twenty-fifth embodiment
FIG. 71 is a diagram illustrating an example of a process flow of the twenty-fifth embodiment. As shown in this figure, the first purchase user identification information holding step (7101), the first purchase SNS user related information acquisition step (7102), the first purchase history information acquisition step (7103), the first advertisement advertisement transmission history information Acquisition step (7104), first purchase analysis rule holding step (7105), first purchase purchase status information analysis acquisition step (7106), first purchase dialogue information accumulation step (7107), first purchase user classified dialogue information selection rule Holding step (7108), first purchase dialogue information selection step (7109), first purchase dialogue information output step (7110), purchase validity judgment rule holding step (7111), purchase dialogue information validity judgment step (7112), Purchase effectiveness statistical processing rule holding substep (for maintaining purchase effectiveness statistical processing rules 113), the purchase statistical interactive information validity information acquiring substep for acquiring purchase statistical interactive information validity information based on the purchase effectiveness statistical processing rules and (7114), consisting of.
　＜実施形態２６＞
　＜実施形態２６　発明の概要＞
　実施形態２６の対話式購入促進システムは、実施形態２４又は実施形態２５に記載の特徴に加えて、購買有効性判断結果に基づいてユーザ別対話情報選択ルールを更新することを特徴とする。 The twenty-sixth embodiment
<Embodiment 26 Outline of the Invention>
The interactive purchase promotion system according to the twenty-sixth embodiment is characterized in that, in addition to the feature described in the twenty-fourth embodiment or the twenty-fifth embodiment, the per-user dialogue information selection rule is updated based on the purchase effectiveness judgment result.
　＜実施形態２６　発明の構成＞
　図７２は、実施形態２６の対話式購入促進システムの構成の一例を示す図である。図７２に示すように、実施形態２６の対話式購入促進システムは、第一購買ユーザ識別情報保持部（７２０１）、第一購買ＳＮＳユーザ関連情報取得部（７２０２）、第一購買履歴情報取得部（７２０３）、第一宣伝広告発信履歴情報取得部（７２０４）、第一購買購入分析ルール保持部（７２０５）、第一購入状況情報分析取得部（７２０６）、第一購買対話情報蓄積部（７２０７）、第一購買ユーザ別対話情報選択ルール保持部（７２０８）、第一購買対話情報選択部（７２０９）、第一購買対話情報出力部（７２１０）、購買有効性判断ルール保持部（７２１１）、購買対話情報有効性判断部（７２１２）、購買ユーザ別対話情報選択ルール更新部（７２１３）と、からなる。本実施形態では、実施形態２４又は実施形態２５との共通の構成の説明は省略し、本実施形態に特有の構成についてのみ説明する。 <Embodiment 26: Configuration of the Invention>
FIG. 72 is a diagram showing an example of a configuration of the interactive purchase promotion system of the twenty-sixth embodiment. As shown in FIG. 72, the interactive purchase promotion system according to the twenty-sixth embodiment includes a first purchase user identification information holding unit (7201), a first purchase SNS user related information acquisition unit (7202), and a first purchase history information acquisition unit. (7203), first advertisement advertisement transmission history information acquisition unit (7204), first purchase purchase analysis rule holding unit (7205), first purchase status information analysis acquisition unit (7206), first purchase dialogue information storage unit (7207) First purchase user classified dialogue information selection rule holding unit (7208), first purchase dialogue information selection unit (7209), first purchase dialogue information output unit (7210), purchase validity judgment rule holding unit (7211), The purchase dialogue information validity judgment unit (7212), and the purchase user classified dialogue information selection rule update unit (7213), and the like. In the present embodiment, the description of the common configuration with the twenty-fourth embodiment or the twenty-fifth embodiment will be omitted, and only the configuration unique to the present embodiment will be described.
　＜実施形態２６　ユーザ別対話情報選択ルール更新部＞
　「購買ユーザ別対話情報選択ルール更新部」は、購買有効性判断結果に基づいてユーザ別対話情報選択ルール保持部に保持されているユーザ別対話情報選択ルールを更新する。更新するとは、ユーザ別に対話情報に関連付けられている有効性を更新することである。有効性判断の結果、従来から対話情報に関連付けられているユーザ別の有効性に変動があった場合には最新の有効性に関連付ける処理を行う。図２５はユーザ別対話情報選択ルール更新部の働きを表す図であり、実施形態８で概要を説明済みである。結果として、従前より有効性の高い対話情報を選択することが可能となる。この選択は対話情報蓄積部（第一、第二を含む）に蓄積されている対話情報の優先選択順位を変更する処理でもある。有効性は、購入状況情報に基づいて判断される有効性、その他応答対話情報に基づいて判断される有効性と、その基づく情報別に保持されるように構成されていてもよい。さらに有効性は、対話情報として選択すべき頻度、誘導対話中に対話情報として選択すべき回数、のように表現されるものであってもよい。さらに有効性は、発言者であるアバターや、発言形式に応じて関連付けられるように構成してもよい。 The twenty-sixth user dialogue information selection rule updating unit>
The “purchased user dialog information selection rule updating unit” updates the user-by-user dialog information selection rule held in the user-by-user dialog information selection rule holding unit based on the purchase validity determination result. To update is to update the validity associated with the interaction information for each user. If there is a change in the user-by-user effectiveness conventionally associated with the dialogue information as a result of the effectiveness determination, processing for associating with the latest effectiveness is performed. FIG. 25 is a diagram showing the function of the user-by-user dialogue information selection rule updating unit, and the outline has been described in the eighth embodiment. As a result, it becomes possible to select more effective dialogue information than before. This selection is also a process of changing the priority selection order of the dialogue information stored in the dialogue information storage unit (including the first and the second). The validity may be configured to be held separately for the validity determined based on the purchase status information, the validity determined based on other response dialogue information, and the information based thereon. Further, the effectiveness may be expressed as frequency to be selected as dialogue information, and the number of times to be selected as dialogue information during guidance dialogue. Further, the validity may be configured to be associated according to the avatar as the speaker and the type of speech.
　図７３は、実施形態２６における選択ルールを更新するＡＩ（人工知能）の働きの概要を示す概念図である。本件対話式購入促進システムは、個人の特性を反映させたユーザ別対話情報選択ルールを保持している。ここに反映されるユーザごとの個人の特性は、会話の際の言葉遣いという対話情報の形式、購入状況情報に対応する対話情報の内容、対話情報の出力のタイミング、対話情報の出力間隔、誘導対話の並べ方、あきらめないプロセス（同一意図の対話情報の繰り返し）、対話情報を出力するアバターなどの選択などに反映されることになる。図に示すように、ユーザＸ（７３０１）について、購入状況情報Ａ（７３０２）のとき、「ここにプロモーション動画が載ってるよ」という対話情報を選択するルール１（７３０３）、購入状況情報Ｂ（７３０４）のとき、「試しに運転させて貰ったらどう？」という対話情報を選択するルール２（７３０５）、購入状況情報Ｃ（７３０６）のとき、「何に迷ってるのかな？いい選択だと思うよ！」という対話情報を選択するルール３（７３０７）がユーザ別対話情報選択ルールとして保持されているとする。このとき、過去に取得したことのない購入状況情報Ｄ（７３０８）が取得されたとすると、購入状況情報Ｄと類似する購入状況情報に関するルールを組み合わせることによってユーザ別対話情報の選択を行うことになる。本図の例では、閲覧回数が４違う以外、購入状況情報Aとその他の数値が一致していることから、類似する購入状況情報として購入状況情報Aを基本として、「プロモーション動画を見てみない？」という対話情報（７３０９）を選択して出力する。出力された対話情報に対して、「プロモーション動画を見たが途中で止めた」（７３１０）との購入状況情報が取得された場合、対話情報に応じて行動したことが認められるものの、その内容が不十分であり、購買意欲が十分に刺激されて高まらなかったことが認められる。そこで、選択した対話情報の有効性は低かったものと認められ、購買対話情報有効性判断結果として２点が得られる（７３１１）。この購買対話情報有効性判断結果を受けて、購入状況情報Ｄが取得された時には、「プロモーション動画を見てみない？見たら感想を聞かせて欲しいな」という対話情報を選択する新しいルール（７３１２）に更新されることになり、更新ユーザ別対話情報選択ルールが取得され、ユーザ別対話情報選択ルール保持部に保持されているユーザ別対話情報選択ルールが更新される。 FIG. 73 is a conceptual diagram showing an outline of an operation of AI (Artificial Intelligence) for updating a selection rule in Embodiment 26. The present interactive purchase promotion system holds user-specific dialogue information selection rules reflecting personal characteristics. The individual characteristics of each user reflected here are the form of dialogue information such as wording in conversation, the contents of dialogue information corresponding to purchase situation information, the timing of outputting dialogue information, the output interval of dialogue information, guidance It will be reflected in the arrangement of the dialogue, the process which does not give up (the repetition of the dialogue information of the same intention), the choice of the avatar etc which outputs dialogue information, etc. As shown in the figure, for the user X (7301), in the case of the purchase status information A (7302), the rule 1 (7303) for selecting the dialogue information that "promotion video is listed here", purchase status information B (7304) At the time, in the case of rule 2 (7305) to select the dialogue information "If you drive it for trial?", And in the case of purchase status information C (7306), "What are you lost? I think it is a good choice It is assumed that a rule 3 (7307) for selecting dialogue information “Yo!” Is held as a user-by-user dialogue information selection rule. At this time, assuming that purchase status information D (7308) which has not been acquired in the past is acquired, selection of user-by-user dialogue information is performed by combining rules on purchase status information similar to the purchase status information D. . In the example of this figure, since the purchase status information A and the other numerical values are the same except that the number of browsing times is different, it is assumed that “purchase the promotion video is based on the purchase status information A as similar purchase status information. The dialogue information (7309) “No?” Is selected and output. When the purchase status information of “The promo animation has been seen but stopped on the way” (7310) is acquired from the output dialogue information, although it is recognized that it has acted according to the dialogue information, the content It is recognized that the purchase motivation was not stimulated sufficiently and did not increase. Therefore, the effectiveness of the selected dialogue information is considered to be low, and two points are obtained as the purchase dialogue information validity judgment result (7311). In response to the purchase dialogue information validity judgment result, when the purchase status information D is acquired, a new rule (7312) is selected for dialogue information that "do not look at the promotion video? The updated user-by-user dialog information selection rule is acquired, and the user-by-user dialog information selection rule held in the user-by-user dialog information selection rule holding unit is updated.
　＜実施形態２６　ハードウェア構成＞
　図７４は実施形態２６のハードウェア構成を示す図である。この図にあるように本発明は、基本的に汎用コンピュータとプログラム、各種デバイスで構成することが可能である。コンピュータの動作は基本的に不揮発性メモリに記録されているプログラムやデータを主メモリにロードして、主メモリとＣＰＵと各種デバイスとで処理を実行していく形態をとる。デバイスとの通信は、バス線と繋がったインターフェイスを介して行われる。この図にあるように実施形態２６のハードウェアを構成するプログラムのうち、実施形態２４又は実施形態２５との共通の動作をするプログラムについてはすでに説明済みであり説明を省略する。本実施形態に加わるプログラムとして、「購買ユーザ別対話情報選択ルール更新プログラム」は、購買有効性判断結果に基づいユーザ別対話情報選択ルールを更新する。プログラムのより詳細な動作は各構成の説明で記載される動作を実現するものであり詳細はそちらを参照のこと。これら不揮発性メモリからメインメモリにコピーされた一連のプログラムの実行命令に基づいてこれらのプログラムが順次又は常時実行される。なお、データとしては、ユーザ識別情報（場合によりこれに関連付けられるユーザ属性情報）、外部情報（ＳＮＳユーザ関連情報を含む）、購買履歴情報、宣伝広告発信履歴情報、第一購買分析ルール、購入状況情報、対話情報、ユーザ別対話情報選択ルール、選択した対話情報、購買有効性判断ルール、購買有効性判断結果、更新ユーザ別対話情報選択ルール、図示しない通信など各種の設定情報等が不揮発性メモリに保持され、主メモリにロードされ、一連のプログラム実行に際して参照され、利用される。 Twenty-Sixth Embodiment Hardware Configuration
FIG. 74 shows a hardware configuration of the twenty-sixth embodiment. As shown in this figure, the present invention can basically be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. Among the programs that configure the hardware of the twenty-sixth embodiment as shown in this figure, the programs that operate in common with the twenty-fourth embodiment or the twenty-fifth embodiment have already been described and descriptions thereof will be omitted. As a program that is added to the present embodiment, the "purchased user dialog information selection rule update program" updates the user dialog information selection rule based on the purchase validity determination result. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory. As data, user identification information (user attribute information sometimes associated with it), external information (including SNS user related information), purchase history information, advertisement transmission history information, first purchase analysis rule, purchase status Information, dialogue information, dialogue information selection rule by user, dialogue information selected, purchase validity judgment rule, purchase validity judgment result, dialogue information selection rule by update user, various setting information such as communication not shown, etc. are nonvolatile memory It is stored in the main memory, loaded into the main memory, and referenced and used when executing a series of programs.
　＜実施形態２６　処理の流れ＞
　図７５は、実施形態２６の処理の流れの一例を示す図である。この図に示すように、第一購買ユーザ識別情報保持ステップ（７５０１）、第一購買ＳＮＳユーザ関連情報取得ステップ（７５０２）、第一購買履歴情報取得ステップ（７５０３）、第一宣伝広告発信履歴情報取得ステップ（７５０４）、第一購買分析ルール保持ステップ（７５０５）、第一購買購入状況情報分析取得ステップ（７５０６）、第一購買対話情報蓄積ステップ（７５０７）、第一購買ユーザ別対話情報選択ルール保持ステップ（７５０８）、第一購買対話情報選択ステップ（７５０９）、第一購買対話情報出力ステップ（７５１０）、購買有効性判断ルール保持ステップ（７５１１）、購買対話情報有効性判断ステップ（７５１２）、購買有効性判断結果に基づいてユーザ別対話情報選択ルールを更新する購買ユーザ別対話情報選択ルール更新ステップ（７５１３）と、からなる。 <The flow of the twenty-sixth embodiment>
FIG. 75 is a diagram illustrating an example of a process flow of the twenty-sixth embodiment. As shown in this figure, the first purchase user identification information holding step (7501), the first purchase SNS user related information acquisition step (7502), the first purchase history information acquisition step (7503), the first advertisement advertisement transmission history information Acquisition step (7504), first purchase analysis rule holding step (7505), first purchase purchase status information analysis acquisition step (7506), first purchase dialogue information accumulation step (7507), first purchase user classified dialogue information selection rule Holding step (7508), first purchase dialogue information selection step (7509), first purchase dialogue information output step (7510), purchase validity judgment rule holding step (7511), purchase dialogue information validity judgment step (7512), User-specific dialog information for updating the user-specific dialog information selection rule based on the purchase validity judgment result The selection rules update step (7513), consisting of.
　＜実施形態２７＞
　＜実施形態２７　発明の概要＞
　実施形態２７の対話式購入促進システムは、実施形態２５又は実施形態２５を基本とする実施形態２６の特徴に加えて、統計的対話情報有効性情報に基づいてユーザ別対話情報選択ルール保持部に保持されているユーザ別対話情報選択ルールを更新することを特徴とする。 Embodiment 27
<Embodiment 27 Outline of the Invention>
The interactive purchase promotion system of the twenty-seventh embodiment adds the feature of the twenty-fifth embodiment or the twenty-fifth embodiment to the basic feature of the twenty-sixth embodiment, based on the statistical dialogue information validity information, in the user-by-user dialogue information selection rule holding unit. It is characterized in that the user-by-user dialogue information selection rule held is updated.
　＜実施形態２７　発明の構成＞
　図７６は、実施形態２７の対話式購入促進システムの構成の一例を示す図である。図７６に示すように、実施形態２７の対話式購入促進システムは、第一購買ユーザ識別情報保持部（７６０１）、第一購買ＳＮＳユーザ関連情報取得部（７６０２）、第一購買履歴情報取得部（７６０３）、第一宣伝広告発信履歴情報取得部（７６０４）、第一購買分析ルール保持部（７６０５）、第一購買購入状況情報分析取得部（７６０６）、第一購買対話情報蓄積部（７６０７）、第一購買ユーザ別対話情報選択ルール保持部（７６０８）、第一購買対話情報選択部（７６０９）、第一購買対話情報出力部（７６１０）、購買有効性判断ルール保持部（７６１１）、購買対話情報有効性判断部（７６１２）、購買有効性統計処理ルール保持手段（７６１３）、購買統計的対話情報有効性情報取得手段（７６１４）、購買統計的ユーザ別対話情報選択ルール更新部（７６１５）と、からなる。本実施形態では、実施形態２５又は実施形態２５を基本とする実施形態２６との共通の構成の説明は省略し、本実施形態に特有の構成についてのみ説明する。 Embodiment 27: Configuration of the Invention
FIG. 76 is a diagram showing an example of the configuration of the interactive purchase promotion system of the twenty-seventh embodiment. As shown in FIG. 76, the interactive purchase promotion system of Embodiment 27 includes a first purchase user identification information holding unit (7601), a first purchase SNS user related information acquisition unit (7602), and a first purchase history information acquisition unit. (7603), first advertising advertisement transmission history information acquisition unit (7604), first purchase analysis rule holding unit (7605), first purchase purchase status information analysis acquisition unit (7606), first purchase dialogue information storage unit (7607) First purchase user specific dialogue information selection rule holding unit (7608), first purchase dialogue information selection unit (7609), first purchase dialogue information output unit (7610), purchase validity judgment rule holding unit (7611), Purchase dialogue information validity judgment unit (7612), purchase validity statistical processing rule holding means (7613), purchase statistical dialogue information validity information acquisition means (7614), purchase statistical user Story information selection rules update section (7615), consisting of. In the present embodiment, the description of the configuration common to the twenty-fifth embodiment or the twenty-sixth embodiment based on the twenty-fifth embodiment will be omitted, and only the configuration unique to the present embodiment will be described.
　＜実施形態２７　購買統計的ユーザ別対話情報選択ルール更新部＞
　「購買統計的ユーザ別対話情報選択ルール更新部」は、取得した購買統計的対話情報有効性情報に基づいてユーザ別対話情報選択ルール保持部に保持されているユーザ別対話情報選択ルールを更新する。実施形態２６のものと更新は基本的に同じようになされる。 <Embodiment 27 purchase statistical user-specific dialogue information selection rule updating unit>
The “Purchasing statistical user-by-user dialogue information selection rule updating unit” updates the user-by-user dialogue information selecting rule held in the user-by-user dialogue information selecting rule holding unit based on the acquired purchasing statistical dialogue information validity information . The modification of the embodiment 26 is basically the same.
　＜実施形態２７　ハードウェア構成＞
　図７７は実施形態２７のハードウェア構成を示す図である。この図にあるように本発明は、基本的に汎用コンピュータとプログラム、各種デバイスで構成することが可能である。コンピュータの動作は基本的に不揮発性メモリに記録されているプログラムやデータを主メモリにロードして、主メモリとＣＰＵと各種デバイスとで処理を実行していく形態をとる。デバイスとの通信は、バス線と繋がったインターフェイスを介して行われる。この図にあるように実施形態２７のハードウェアを構成するプログラムのうち、実施形態２５又は実施形態２５を基本とする実施形態２６との共通の動作をするプログラムについてはすでに説明済みであり説明を省略する。本実施形態に加わるプログラムとして、「購買統計的ユーザ別対話情報選択ルール更新プログラム」は、購買統計的対話情報有効性情報に基づいてユーザ別対話情報選択ルールを更新する。プログラムのより詳細な動作は各構成の説明で記載される動作を実現するものであり詳細はそちらを参照のこと。これら不揮発性メモリからメインメモリにコピーされた一連のプログラムの実行命令に基づいてこれらのプログラムが順次又は常時実行される。なお、データとしては、ユーザ識別情報（場合によりこれに関連付けられるユーザ属性情報）、外部情報（ＳＮＳユーザ関連情報を含む）、購買履歴情報、宣伝広告発信履歴情報、第一購買分析ルール、購入状況情報、対話情報、ユーザ別対話情報選択ルール、選択した対話情報、購買有効性判断ルール、購買有効性判断結果、購買有効性統計処理ルール、購買統計的対話情報有効性情報、更新ユーザ別対話情報選択ルール、図示しない通信など各種の設定情報等が不揮発性メモリに保持され、主メモリにロードされ、一連のプログラム実行に際して参照され、利用される。 Embodiment 27 Hardware Configuration
FIG. 77 shows a hardware configuration of the twenty-seventh embodiment. As shown in this figure, the present invention can basically be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. Among the programs constituting the hardware of the twenty-seventh embodiment as shown in this figure, the program operating in common with the twenty-fifth embodiment or the twenty-sixth embodiment is already explained and the explanation thereof is given. I omit it. As a program that participates in the present embodiment, the “purchasing statistical user-specific dialogue information selection rule update program” updates the user-specific dialogue information selection rule based on the purchasing statistical dialogue information validity information. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory. As data, user identification information (user attribute information sometimes associated with it), external information (including SNS user related information), purchase history information, advertisement transmission history information, first purchase analysis rule, purchase status Information, dialogue information, dialogue information selection rule by user, selected dialogue information, purchase validity judgment rule, purchase validity judgment result, purchase validity statistical processing rule, purchase statistical dialogue information validity information, update user dialogue information Various setting information and the like such as selection rules and communications (not shown) are held in the non-volatile memory, loaded into the main memory, and referenced and used in executing a series of programs.
　＜実施形態２７　処理の流れ＞
　図７８は、実施形態２７の処理の流れの一例を示す図である。この図に示すように、第一購買ユーザ識別情報保持ステップ（７８０１）、第一購買ＳＮＳユーザ関連情報取得ステップ（７８０２）、第一購買履歴情報取得ステップ（７８０３）、第一宣伝広告発信履歴情報取得ステップ（７８０４）、第一購買分析ルール保持ステップ（７８０５）、第一購買購入状況情報分析取得ステップ（７８０６）、第一購買対話情報蓄積ステップ（７８０７）、第一購買ユーザ別対話情報選択ルール保持ステップ（７８０８）、第一購買対話情報選択ステップ（７８０９）、第一購買対話情報出力ステップ（７８１０）、購買有効性判断ルール保持ステップ（７８１１）、購買対話情報有効性判断ステップ（７８１２）、購買有効性統計処理ルール保持サブステップ（７８１３）、購買統計的対話情報有効性情報取得サブステップ（７８１４）、取得した購買統計的対話情報有効性情報に基づいてユーザ別対話情報選択ルールを更新する購買統計的ユーザ別対話情報選択ルール更新ステップ（７８１５）と、からなる。 <The flow of the twenty-seventh embodiment>
FIG. 78 is a diagram illustrating an example of a process flow of the twenty-seventh embodiment. As shown in this figure, the first purchase user identification information holding step (7801), the first purchase SNS user related information acquisition step (7802), the first purchase history information acquisition step (7803), the first advertisement advertisement transmission history information Acquisition step (7804), first purchase analysis rule holding step (7805), first purchase purchase status information analysis acquisition step (7806), first purchase dialogue information accumulation step (7807), first purchase user classified dialogue information selection rule Holding step (7808), first purchase dialogue information selection step (7809), first purchase dialogue information output step (7810), purchase validity judgment rule holding step (7811), purchase dialogue information validity judgment step (7812), Purchase validity statistical processing rule holding substep (7813), purchase statistical dialogue information validity information The resulting sub-step (7814), the acquired purchase statistical interactive information validity updates the user-specific interaction information selection rules based on information purchase statistical user-specific interaction information selection rule update step (7815), consisting of.
　＜実施形態２８＞
　＜実施形態２８　発明の概要＞
　　実施形態２８は、実施形態２２を方法的に記載した発明であり、基本的には実施形態２２の発明のカテゴリをコンピュータの動作方法として表現したものである。 Embodiment 28
<Embodiment 28> Outline of the Invention>
The twenty-eighth embodiment is an invention which describes the method of the twenty-second embodiment in a method, and basically the category of the invention of the twenty-second embodiment is expressed as a computer operation method.
　＜実施形態２８　発明の構成＞
　本実施形態の対話式学習促進システムは、図８０に示すように、ユーザのＳＮＳ関連情報を取得する購買ＳＮＳユーザ関連情報取得ステップ（８００１）、購買履歴情報を取得する購買履歴情報取得ステップ（８００２）、宣伝広告発信履歴情報を取得する購買宣伝広告発信履歴情報取得ステップ（８００３）、保持している購買分析ルールと外部情報と購買履歴情報と宣伝広告発信履歴情報とを用いて購入状況情報を取得する購買購入状況情報分析取得ステップ（８００４）、購買ユーザ別対話情報選択ルールに基づいて出力する対話情報を選択する購買対話情報選択ステップ（８００５）、選択した対話情報を出力する購買対話情報出力ステップ（８００６）と、からなる。 Embodiment 28: Configuration of the Invention
In the interactive learning promotion system according to the present embodiment, as shown in FIG. 80, a purchasing SNS user related information acquiring step (8001) for acquiring SNS related information of a user, and a purchasing history information acquiring step (8002) for acquiring purchasing history information. Purchase advertisement advertisement transmission history information acquiring step (8003), purchase condition information is stored using purchase analysis rules, external information, purchase history information and advertisement advertisement transmission history information held Purchase purchase situation information analysis acquisition step (8004), purchase dialogue information selection step (8005) for selecting dialogue information to be output based on purchase user classified dialogue information selection rule, purchase dialogue information output for outputting selected dialogue information And step (8006).
　＜実施形態２９＞
　＜実施形態２９　発明の概要＞
　実施形態２９は、実施形態２２を方法的に記載した発明であり、基本的には実施形態２２の発明のカテゴリをコンピュータの動作プログラムとして表現したものである。 The twenty-ninth embodiment
<Outline of the invention according to the twenty-ninth embodiment>
The twenty-ninth embodiment is an invention which describes the method of the twenty-second embodiment in a method, and basically, the category of the invention of the twenty-second embodiment is expressed as an operation program of a computer.
　＜実施形態２９　発明の構成＞
　実施形態２９に示す対話式購入促進システムの動作プログラムの構成は、図８０に示す構成と同様である。各構成の説明については、実施形態２８で説明済みのため、省略する。 Embodiment 29: Configuration of the Invention
The configuration of the operation program of the interactive purchase promotion system shown in the twenty-ninth embodiment is the same as the configuration shown in FIG. The description of each configuration is omitted since it has been described in the twenty-eighth embodiment.
　＜実施形態３０＞
　実施形態３０に示す対話式購入促進システムは、実施形態２２から実施形態２７に記載の特徴に加えて、特定商品の購買履歴を有するユーザに代えて、特定商品の宣伝広告発信履歴情報を有するユーザとした、対話式購入促進システムである Embodiment 30
The interactive purchase promotion system shown in the embodiment 30 is a user having advertisement advertisement transmission history information of a specific product in place of the user having the purchase history of the specific product in addition to the features described in the embodiment 22 to the embodiment 27. It is an interactive purchase promotion system
＜実施形態３０＞
＜実施形態３０　発明の概要＞
　実施形態３０の対話式購入促進システムは、ＳＮＳでのユーザの発言情報や閲覧情報に加えて、購買履歴情報（購買履歴がない場合も含む）や宣伝広告発信履歴情報を用いて、ユーザの購買に向けた意欲の高まりを示す購入状況情報を取得し、ユーザの現在の購入に向けた動機の程度である購入状況にあった対話を前記ＳＮＳに出力することで、ユーザの購買動機を強めることを目的とする。ユーザの属性が本システム内に保存されていることが好ましく、宣伝広告にアクセスしただけのユーザのユーザ属性の登録は、宣伝広告のプッシュ通知の登録の際に宣伝広告の登録申し込みウエブ画面から登録、又は、メールによって登録するように構成してもよい。さらに宣伝広告を閲覧するコンピュータ内にクッキーを送信して、そのコンピュータ上で行われる各種情報取得や、コンピュータ内に保存されているユーザ属性を取得するように構成することもできる。ユーザ属性の登録は、宣伝広告のプッシュ通知登録等の後、商品購入があった場合には、さらに詳細なユーザ属性を登録して併せてユーザ属性とすることも可能である。 Embodiment 30
<Embodiment 30> Outline of the Invention>
The interactive purchase promotion system according to the embodiment 30 uses the purchase history information (including the case where there is no purchase history) and advertisement advertisement transmission history information in addition to the user's utterance information and browsing information in the SNS, and uses the user's purchase Acquire purchase status information that indicates the increased motivation toward the target, and strengthen the user's purchase motivation by outputting to the SNS the dialogue that was in the purchase status that is the degree of the user's current purchase. With the goal. The attributes of the user are preferably stored in the system, and registration of the user attribute of the user who has just accessed the advertisement is registered from the advertisement registration registration web screen when registering the push notification of the advertisement. Or, it may be configured to register by mail. Furthermore, it is possible to transmit a cookie to a computer that browses an advertisement, thereby acquiring various information performed on the computer and acquiring a user attribute stored in the computer. The registration of the user attribute can also be made by registering a more detailed user attribute and combining it as the user attribute, when there is a product purchase after the push notification registration of advertisement and the like.
＜実施形態３０　発明の構成　１＞
　実施形態３０の対話式購入促進システムの発明の構成１は、基本的に実施形態２２、図６０の第二を第三に代えたものである。実施形態３０の対話式購入促進システムは、第三購買ユーザ識別情報保持部、第三購買ＳＮＳユーザ関連情報取得部、第三購買履歴情報取得部、第三購買宣伝広告発信履歴情報取得部、第三購買分析ルール保持部、第三購買購入状況情報分析取得部、第三購買対話情報蓄積部、第三購買ユーザ別対話情報選択ルール保持部、第三購買対話情報選択部、第三購買対話情報出力部と、からなる。 Embodiment 30: Configuration 1 of the Invention
The configuration 1 of the invention of the interactive purchase promotion system of the embodiment 30 is basically such that the second in the embodiment 22 in FIG. 60 is replaced with a third. The interactive purchase promotion system of the embodiment 30 includes a third purchase user identification information holding unit, a third purchase SNS user related information acquisition unit, a third purchase history information acquisition unit, a third purchase advertisement advertisement transmission history information acquisition unit, a third Third purchase analysis rule holding unit, third purchase purchase status information analysis acquisition unit, third purchase dialogue information storage unit, third purchase user classified dialogue information selection rule holding unit, third purchase dialogue information selection unit, third purchase dialogue information And an output unit.
＜実施形態３０　発明の構成　２＞
　実施形態３０の対話式購入促進システムの発明の構成２は、基本的に実施形態２３、図６３の第二を第四に代えたものである。実施形態３０の発明の構成２の対話式購入促進システムは、第四購買ユーザ識別情報保持部、第四購買ＳＮＳユーザ関連情報取得部、第四購買履歴情報取得部、第四購買宣伝広告発信履歴情報取得部、第四購買行動・ライフログ情報取得部、第四購買分析ルール保持部、第四購買購入状況情報分析取得部、第四購買対話情報蓄積部（、第四購買ユーザ別対話情報選択ルール保持部、第四購買対話情報選択部、第四購買対話情報出力部と、からなる。 <Embodiment 30: Configuration 2 of the Invention>
The configuration 2 of the invention of the interactive purchase promotion system of the embodiment 30 is basically such that the second of the embodiment 23, FIG. 63 is replaced by a fourth. The interactive purchase promotion system according to configuration 2 of the invention of the embodiment 30 includes a fourth purchase user identification information holding unit, a fourth purchase SNS user related information acquisition unit, a fourth purchase history information acquisition unit, and a fourth purchase advertisement advertisement dispatch history. Information acquisition unit, fourth purchasing behavior / life log information acquiring unit, fourth purchasing analysis rule holding unit, fourth purchasing purchasing status information analysis acquiring unit, fourth purchasing dialogue information storage unit (, fourth purchasing user classified dialogue information selection A rule holding unit, a fourth purchase dialogue information selection unit, and a fourth purchase dialogue information output unit.
＜実施形態３０　発明の構成　その他＞
　先に示した実施形態　発明の構成１、発明の構成２、に加えて実施形態２４、実施形態２５、実施形態２６、実施形態２７に記載の実施形態２２、実施形態２３に対する追加構成を同様に追加する構成であってもよい。 Embodiment 30 Configuration of the Invention and Others
The embodiment described above In addition to the configuration 1 of the invention and the configuration 2 of the invention, the additional configuration to the embodiment 22 and the embodiment 23 described in the embodiment 24, the embodiment 25, the embodiment 26 and the embodiment 27 in the same manner. The configuration may be added.
＜実施形態３０　構成の説明＞
＜実施形態３０　第三購買ユーザ識別情報保持部　第四購買ユーザ識別情報保持部＞
　「第三購買ユーザ識別情報保持部、第四購買ユーザ識別情報保持部」は、ＳＮＳを利用し、特定商品の宣伝広告発信履歴情報を有するユーザを識別するユーザ識別情報を保持する。他の点は、第一、第二購買ユーザ識別情報保持部に記載の説明と同様である。 <Description of the configuration of the thirtieth embodiment>
Embodiment 30 Third Purchasing User Identification Information Holding Unit Fourth Purchasing User Identification Information Holding Unit
The “third purchase user identification information holding unit, the fourth purchase user identification information holding unit” holds user identification information that identifies a user having advertisement advertisement transmission history information of a specific product using an SNS. The other points are the same as the description described in the first and second purchase user identification information holding units.
＜実施形態３０　その他の構成＞
　実施形態３０では、その他の構成は基本的に実施形態２２から実施形態２７のいずれか一に記載の発明と同様である。 Embodiment 30 Other Configuration
In the embodiment 30, the other configuration is basically the same as the invention described in any one of the embodiment 22 to the embodiment 27.
＜実施形態３１＞
＜実施形態３１　発明の概要＞
　本実施形態は、対話式学習促進システムに関する発明である。実施形態１２から実施形態１６に記載の対話式学習促進システムの特徴に加えて、本実施形態の発明は、出力した対話情報の有効性を、出力した対話情報に対するユーザの応答対話情報から取得することを特徴とする。 The thirty-first embodiment
<Embodiment 31> Outline of the Invention>
The present embodiment is an invention related to an interactive learning promotion system. In addition to the features of the interactive learning promotion system according to the twelfth to sixteenth embodiments, the invention of the present embodiment acquires the validity of the outputted dialogue information from the user's response dialogue information to the outputted dialogue information. It is characterized by
＜実施形態３１　発明の構成＞
　実施形態３１の対話式学習促進システムの構成の一例は、図３６に示す実施形態１２、図３９に示す実施形態１３の構成又は図４２に示す実施形態１４（ただし第三学習カリキュラム情報取得部は必須の構成ではない。）を基本として、学習応答対話情報取得部、学習応答有効性判断ルール保持部、学習応答対話情報有効性判断部を新たに有する構成である。実施形態１２から実施形態１６のいずれか一との共通の構成の説明は省略し、本実施形態に特有の構成についてのみ説明をする。 Embodiment 31: Configuration of the Invention
One example of the configuration of the interactive learning promotion system of the embodiment 31 is the configuration of the embodiment 12 shown in FIG. 36, the configuration of the embodiment 13 shown in FIG. 39 or the embodiment 14 shown in FIG. Based on this, the learning response dialogue information acquiring unit, the learning response validity judgment rule holding unit, and the learning response dialogue information validity judging unit are newly added. The description of the configuration common to any one of the twelfth to sixteenth embodiments will be omitted, and only the configuration unique to this embodiment will be described.
＜実施形態３１　構成の説明＞
＜実施形態３１　学習応答対話情報取得部＞
　「学習応答対話情報取得部」は、出力された対話情報に対する応答対話情報を取得する。応答対話情報は、対話情報に対するユーザの反応を示す情報である。例えば、ＳＮＳを通じてユーザが出力する文字情報としての応答対話情報、学習履歴情報や学習効果情報に現れるユーザの学習行動、ユーザが発声する音声による応答対話情報、ユーザの心拍数や脳波といったライフログ情報として得られる応答対話情報、ＧＰＳや他の外部情報機器から本システムにとりこむことが可能なユーザの行動に関する応答対話情報、等が考えられる。さらに、ユーザの応答対話情報が本対話式学習促進システムのどの発話（対話情報）に対する応答対話情報であるかを確認するための質問を発するように構成することもできる。行動や音声という、プラスの方向に認識できるものだけでなく、無音、無反応、無視している、電源を切っている、通信を切断してる、といった無の状態の観測についても、ユーザの意識的な対応と言えることから、ユーザの応答対話情報ということができる。応答対話情報は、後述するように出力した対話情報の有効性を判断するために活用されることから、出力されたいずれの対話情報に対する応答対話情報であるかを特定するために、出力対話情報識別情報と関連付けて取得されることが考えられる。また、応答対話情報は、それ自体が学習ＳＮＳユーザ関連情報に含むことが可能であるし、対話情報蓄積部に蓄積される対話情報に含めることも可能である。さらに、応答対話情報には、ユーザの個性や対話形式が直接表現されることから、ユーザ属性の分析のために利用する、あるいはユーザ属性情報として蓄積する構成にすることも可能である。 <Description of the configuration of the thirty-first embodiment>
Embodiment 31 Learning Response Dialogue Information Acquisition Unit
The “learning response dialogue information acquisition unit” acquires response dialogue information for the outputted dialogue information. The response dialogue information is information indicating the reaction of the user to the dialogue information. For example, response dialogue information as character information output by the user through SNS, learning behavior of the user appearing in learning history information and learning effect information, response dialogue information by voice uttered by the user, life log information such as user's heart rate and brain waves The response dialogue information obtained as (1), the response dialogue information on the user's action that can be incorporated into the system from GPS or other external information devices, etc. can be considered. Furthermore, it can also be configured to issue a question to confirm which utterance (interaction information) of the present interactive learning promotion system is the response dialogue information of the user. The user's awareness of observation of not only action or voice, which can be recognized in the positive direction, but also observation of no states such as silence, no reaction, ignoring, turning off, disconnecting communication, etc. It can be said that the user's response dialogue information because it can be said that Since the response dialogue information is utilized to determine the validity of the outputted dialogue information as described later, the outputted dialogue information is used to identify which of the outputted dialogue information is the response dialogue information. It is conceivable that the information is acquired in association with the identification information. The response dialogue information can be included in the learning SNS user related information itself or can be included in the dialogue information stored in the dialogue information storage unit. Furthermore, since the user's individuality and interaction style are directly expressed in the response dialogue information, it is possible to use it for analysis of user attributes or to store it as user attribute information.
　本システムは、システムが対話情報を出力すると、ユーザがこれに自由に応答対話情報を返す構造となっている。出力された対話情報に対するユーザの応答対話情報は、時間的に近接しているタイミングで取得される必要はなく、数日前の出力に対してユーザが応答対話情報を出力するということも考えられる。また、出力した対話情報に対するユーザの応答対話情報が１対１の関係になる必要はなく、１対多、多対１、多対多のいずれの構成も考えられる。出力した対話情報のいずれに対してユーザが応答対話情報発信したかは、出力した対話情報に対して、次の対話情報が出力されるまでにユーザが発信した応答対話情報を関連付けるという方法が考えられる。あるいは、本システムは一つの背景目標にむけて導入対話を経てユーザに対してある行動を行うことを勧めるアドバイスの対話情報を出力することが可能である。というのは、対話形式の一環として、ユーザの好む言葉遣い、表現方法、会話方法が考えられ、例えば、「天気の話から始めて、今日の気分や、明日以降の予定のことを相談して、今日どんな行動をするのが合理的あるいは効果的であるかをユーザに認識させて、行動を進めるアドバイスを行う」という経緯が考えられる。この場合、天気の話から始まって、行動を進めるアドバイスを行うというまでが、一つのストーリーとして認識され、出力対話ブロックという単位で認識され、その経緯のなかで取得された一連のユーザの応答対話情報と関連付けるということが考えられる。 The present system is structured such that when the system outputs the dialogue information, the user freely responds to the dialogue information. The user's response dialogue information to the outputted dialogue information does not have to be acquired at the timing close in time, and it is also conceivable that the user outputs the response dialogue information to the output several days ago. Also, the user's response dialogue information to the outputted dialogue information does not have to be in a one-to-one relationship, and any configuration of one-to-many, many-to-one, and many-to-many can be considered. As to which of the output dialogue information the user has sent response dialogue information, it is considered to associate the output dialogue information with the response dialogue information sent by the user until the next dialogue information is outputted. Be Alternatively, the system can output dialogue information of an advice that recommends the user to perform an action through an introduction dialogue toward one background goal. For example, the user's preferred language, expression method, and conversation method can be considered as a part of the interactive mode. For example, “starting with the weather, talk about today's mood and the schedule after tomorrow, It is conceivable that the user is made aware of what action it takes today to be rational or effective, and advice is given to proceed with the action. In this case, a series of user response dialogues which are recognized as one story, recognized in a unit of an output dialogue block, and acquired in the process, starting from the story of the weather and giving advice to proceed with the action It is conceivable to associate with information.
　＜実施形態３１　学習応答有効性判断ルール保持部＞
　「学習応答有効性判断ルール保持部」は、出力された対話情報に対して取得された応答対話情報に基づいて出力された対話情報が有効であったか判断するルールである学習応答有効性判断ルールを保持する。「学習応答有効性判断ルール」は、ユーザが対話情報に従った行動・思考をとったかを質問の発話などを交えた対話情報から判断して、出力した対話情報の有効性を判断するルールである。出力した対話情報に対するユーザの応答対話情報がプラスの反応であるかマイナスの反応であるかによって、出力した対話情報の有効性を判断するシステムである。 Embodiment 31 Learning Response Validity Determination Rule Holding Unit
The “learning response validity determination rule holding unit” is a rule that determines whether the dialog information output based on the response dialog information acquired with respect to the output dialog information is valid or not. Hold. "Learning response validity judgment rule" is a rule that judges the effectiveness of the output dialogue information by judging from the dialogue information including the utterance of the question whether the user has taken action / thought according to the dialogue information. is there. This is a system for judging the validity of the outputted dialogue information depending on whether the user's response dialogue information to the outputted dialogue information is a positive reaction or a negative reaction.
　例えば、出力した対話情報に対する応答対話情報の有効性の判断方法としては、プラスの反応と判断できる表現の類型（例えば、意欲を示す発言、受け入れる発言、同意する発言、積極的に提案を行う発言、目標を設定する発言等）とマイナスの反応と判断できる表現の類型（拒絶の表現、意欲がない表現、言い訳、否定的な発言、後回しにする発言、無反応（未読の場合と既読の場合いずれも含む）等）、場合によっては中立の表現の類型（例えば、時候の挨拶、世間話、擬音等）の一以上の有効性判断類型に分類することで行う方法が考えられる。この分類の種類数や区分数は、システムの運用ポリシーに基づいて設定することができる。 For example, as a method of judging the effectiveness of the response dialogue information with respect to the outputted dialogue information, types of expressions that can be judged as positive reactions (for example, speech indicating intention, speech accepted, speech agreeing, speech actively making suggestions Set goals, say etc. and types of expressions that can be judged as negative reactions (expressions of rejection, unwilling expressions, excuses, negative utterances, late utterances, unresponsiveness (unread case and read) In some cases, etc., etc.), and in some cases, it is conceivable to classify the expression into one or more validity judgment types of neutral expression types (for example, greeting of the weather, talks, talks, etc.). The number of types and the number of divisions of this classification can be set based on the operation policy of the system.
　取得した応答対話情報を各類型に分類する工程は、学習応答対話情報取得部の取得の段階で行う構成にしてもよいし、学習応答有効性判断ルール保持部の有する学習応答有効性判断ルールの内容としてもよい。いずれの構成であっても、次に示すような応答対話情報を有効性判断類型に分配するために、応答対話情報と有効性判断類型の同一性を判断する必要があるため、同様の構成を有することになる。以下では、学習応答有効性判断ルール保持部によって、取得した対話情報を各類型に分類する場合を想定して説明する。 The step of classifying the acquired response dialogue information into each type may be performed at the stage of acquisition of the learning response dialogue information acquisition unit, or the learning response validity judgment rules possessed by the learning response validity judgment rule holding unit It may be content. In any configuration, it is necessary to determine the sameness between the response dialogue information and the validity judgment type in order to distribute the response dialogue information as shown below to the validity judgment type. It will have. In the following, it is assumed that the learning response validity judgment rule holding unit classifies the acquired dialogue information into each type.
　学習応答対話情報有効性判断ルールは、少なくとも応答対話情報の意味内容を確定するためのルールと、出力した対話情報の有効性を判断するためのルールの二つによって構成される。さらに、応答対話情報の意味内容を有効性判断類型に分類するためのルールを独立に持たせる場合と、応答対話情報の意味内容を有効性判断類型に分類するためのルールを応答対話情報の意味内容を確定するためのルール又は出力した対話情報の有効性を判断するルールのいずれかに含まれるように構成する場合が考えられる。 The learning response dialogue information validity determination rule is composed of at least a rule for determining the meaning content of the response dialogue information and a rule for judging the validity of the outputted dialogue information. Furthermore, when the rule for classifying the semantic content of the response dialogue information into the validity judgment type is independently provided, the rule for classifying the semantic content of the response dialogue information into the validity judgment type is the meaning of the response dialogue information It may be considered to be configured to be included in either the rule for determining the content or the rule for determining the validity of the output interaction information.
　ユーザの応答対話情報は、ユーザによって発せられるもので、システムによって管理コントロールできるものではないことから、どのような単語を用いて、どのような表現をして、どのような対話形式で発信されるかは定まっていない。例えば、「勉強をしたくない」という事実を伝えるための発信として、「勉強だるい」「まじ嫌」「馬鹿言わないで」「お断りです」「いたしません」「ふざけんな」等、様々な表現を用いることが可能である。これらの表現が、いずれも「否定表現」であることを特定するためのルールが、応答対話情報の意味内容を確定するためのルールとなる。この意味内容のカテゴリーの仕方や幅は、システムの運用ポリシーに基づいて設定することができる。この幅はまた、階層構造的に選択できるように構成してもよい。階層構造としては、例えば最上位がユーザの応答対話の意味内容であり、その下位に直接的に表現した場合の表現があり、さらにその下位に標準語での各種の謙譲表現、丁寧表現、尊敬語、対等語、命令形の表現があり、さらにその下位に方言等による各種表現があったり、さらにその下位に各種間接表現（婉曲、比喩など）があるように構成することが考えられる。例えば、上記の例を用いると、「いたしません」が各種間接表現として取得され、方言等の表現方法としては特殊な加工をしていないことから「いたしません」という標準語に該当することになり、標準語での基本的表現としても「いたしません」という丁寧語に該当することになり、直接的に表現した場合の表現として「やらない」という表現に該当することになり、ユーザの応答対話の意味内容として、「出力した対話情報に従わない」、という意味内容が確定される。ここまでがユーザの応答対話情報の意味内容を確定するためのルールとなる。さらに、出力した対話情報に従わない、というユーザの応答対話情報の意味内容から、出力した対話情報に対して上記の例でいうと「否定的な表現」がされたものとして、マイナスの類型に属することが確定される。 The user's response dialogue information is issued by the user and can not be managed and controlled by the system. Therefore, what word is used, what expression is made, and what kind of interactive manner is sent out I have not decided. For example, as a message to convey the fact that "I do not want to study", various expressions such as "Don't study", "I hate it", "I don't say stupid", "I refuse", "I do not do it", "I am stupid" It is possible to use Rules for specifying that these expressions are all "negative expressions" become rules for determining the semantic content of the response dialogue information. The manner and width of the category of meaning contents can be set based on the system operation policy. This width may also be configured to be selectable hierarchically. As the hierarchical structure, for example, the highest level is the semantic content of the user's response dialogue, and there is an expression in the case of direct expression under it, and further, various subordinate expressions in polite language, polite expression, respect It is conceivable that there are expressions of words, equal words, and imperative forms, and further, there are various expressions by dialects and the like below them, and various indirect expressions (folds, metaphors etc.) below them. For example, using the above example, "does not do" will be acquired as various indirect expressions, and it will fall under the standard word "does not do" because it is not specially processed as an expression method such as dialect etc. As a basic expression in the standard word, it corresponds to the polite word "I do not do", and corresponds to the expression "do not do" as the expression in the direct expression. As the meaning content of the response dialogue, the meaning content "do not follow the outputted dialogue information" is determined. These are the rules for determining the meaning content of the user's response dialogue information. Furthermore, based on the meaning contents of the user's response dialogue information not to follow the outputted dialogue information, it is assumed that “negative expression” is given to the outputted dialogue information in the above example, and the negative type is It is decided that it belongs.
　有効性判断ルールとしては、例えば、有効性判断類型の各要素についてユーザの対話情報に対する有効性判断類型上の反応の強さの程度の評価値を算出するようにして、算出された各要素の評価値から総合的に有効性判断結果を取得する方法が考えられる。有効性判断類型上の反応の強さの測定方法は、同一性確定で選択される各種の段階の選択肢にあらかじめ点数を与えておいて、その点数を総合判断することによって算出する方法が考えられる。この各種の段階の選択肢に与える点数は、一般的な数値として与えておく方法と、ユーザ属性を反映させてユーザ毎に異なる点数を与えておく方法が考えられる。あるいは、有効性判断類型上の反応の強さの算出の際の各種の段階の重みづけをユーザ毎に異ならせるようにしておくことが考えられる。このようにして取得された有効性判断類型上の反応の強さの数値が有効性判断結果となる。なお、中立の表現の類型に該当する場合には、有効性を判断するための情報が不十分であり、有効性判断不能という判断結果としても良い。 As the validity determination rule, for example, an evaluation value of the degree of the strength of the response on the validity determination type with respect to the dialog information of the user is calculated for each element of the validity determination type, There is a method of acquiring the effectiveness judgment result comprehensively from the evaluation value. As a method of measuring the strength of the reaction on the effectiveness judgment type, it is conceivable to calculate the method by comprehensively judging the score while giving a score in advance to options of various stages selected in the identity confirmation . There are conceivable methods of giving points as options at various stages as general numerical values, and methods of reflecting different user attributes and giving different points to each user. Alternatively, it may be considered that the weighting of various stages in calculating the strength of the reaction on the effectiveness judgment type is made to differ for each user. The numerical value of the strength of the response on the validity judgment type acquired in this manner is the validity judgment result. If the information corresponds to a neutral expression type, the information for judging the effectiveness may be insufficient, and the judgment result may be that the effectiveness can not be judged.
　また、1つの応答対話情報中に、複数の類型に分類すべき表現が込められていることがあることから、ある応答対話情報から複数の有効性判断類型及び有効性判断類型上の反応の強さの程度の評価値を取得することが考えられる。この場合には、取得された複数の有効性判断類型上の反応の強さの程度の評価値から有効性判断結果を算出することになる。このとき、「でも」「しかし」「やっぱり」といった接続詞の利用や、一文目、二文目などの発言全体の構成や、文章の先頭、文章の末尾、といった文章の構成、などのチェックポイントを定めておき、一つの応答対話情報内に含まれる発言に主発言、副発言というようにランク付けを与える構成が考えられる。ランクによって、有効性判断結果算出時に重みづけを異ならせるようにしてもよい。ランクによる重みづけの差異は、システムによって共通の値とすることもできるし、ユーザ属性に応じてユーザ毎に異なるように設定することも可能である。 In addition, since one response dialogue information may contain expressions to be classified into a plurality of types, it is possible to use a certain response dialogue information to strengthen the responses on a plurality of validity judgment types and validity judgment types. It is conceivable to obtain an evaluation value of the degree of degree. In this case, the effectiveness judgment result is calculated from the evaluation value of the degree of the response strength on the plurality of acquired effectiveness judgment types. At this time, check points such as the use of conjunctions such as “but”, “but” and “yappari”, the composition of the entire statement such as the first and second sentences, the composition of the sentence such as the beginning of the sentence and the end of the sentence, etc. It is possible to consider a configuration in which rankings are given to messages included in one response dialogue information, such as main messages and sub-messages. Depending on the rank, the weighting may be made different at the time of calculating the effectiveness judgment result. The difference in weighting by rank can be a common value by the system, or can be set to be different for each user according to the user attribute.
　また、上記例の表現は勉強をしたくない場合以外にも用いられる表現である。例えば、いつも２時間勉強しているユーザに、体調が悪そうなので勉強をやめて眠ることを勧める対話情報を出力した場合には、「まじ嫌」「馬鹿言わないで」「お断り」「ふざけんな」等の前記表現例の一部については、「勉強を継続したい意思」を表す表現となる。この場合、応答対話情報に従わないという意味では有効性判断類型としては、否定的な表現と判断することが単純な判断として考えられる。しかし、学習の習慣化という本対話式学習促進システムの有する背景目的との関係では、規則的な勉強の習慣がついていると判断することも可能である。このように、背景目的との関係で、対話情報に従うか否かは矛盾するシチュエーションが考えられることから、より複雑な判断手法として、背景目的との関係での有効性評価という評価ルールを持たせることも可能である。まず、前述のユーザの応答対話情報の意味内容の確定の後、出力した対話情報が背景目的に客観的に合致する行動を促すものであったか、客観的に合致しない行動を促すものであったかを分類する。ここにいう、背景目的に客観的に合致するとは、形式的に規則的な勉強行動を促していること、を意味する。背景目的に客観的に合致しないとは、形式的に規則的な勉強行動を促していないこと、を意味する。背景目的に合致する行動を促すものであった場合には、応答対話情報の意味内容の有効性判断類型と同様のプラスとマイナスの背景目的有効性判断上の反応の強さの程度の評価値が得られることになる。一方、出力した対話情報が背景目的と合致しない行動を促すものであった場合には、応答対話情報の意味内容の有効性類型とはプラス・マイナスが逆転した背景目的有効性判断上の反応の強さの程度の評価値が得られることになる。 Also, the expressions in the above example are expressions that are used other than when you do not want to study. For example, if a user who is studying for two hours always outputs dialogue information that recommends that they stop studying and sleep because they seem to be ill, "do not be foolish" "don't fool" "notice" "fuzzing" For some of the above expression examples such as, it is an expression representing "the intention to continue studying." In this case, judging as a negative expression as an effectiveness judgment type in the sense that it does not follow the response dialogue information can be considered as a simple judgment. However, in relation to the background purpose of this interactive learning promotion system that makes learning habitual, it is also possible to judge that regular learning habits are attached. As described above, since it is possible that situations contradicting whether or not to follow the dialogue information may be contradictory in relation to the background purpose, as a more complicated judgment method, an evaluation rule of effectiveness evaluation in relation to the background purpose is provided. It is also possible. First, after determining the meaning content of the user's response dialogue information described above, it is classified whether the outputted dialogue information promotes an action that objectively matches the background purpose or promotes an action that does not objectively match Do. Here, objectively matching to the background purpose means to formally promote regular study behavior. The fact that it does not conform to the background purpose means that it does not formally promote regular study behavior. When it is something to promote the action that matches the background purpose, the evaluation value of the degree of response strength in positive and negative background purpose validity judgment similar to the effectiveness judgment type of the meaning contents of the response dialogue information Will be obtained. On the other hand, when the output dialogue information urges an action that does not match the background purpose, the response type of the meaning contents of the response dialogue information is a positive / negative inverted reaction on the background purpose validity judgment. An evaluation value of the degree of strength will be obtained.
　背景目的との関係をも含めて有効性判断をする場合には、有効性判断類型上の反応の強さと背景目的有効性判断上の反応の強さの程度の評価値の総合的な判断になる。判断にあたって、この二つの要素の重みづけを異ならせてもよい。重みづけの差は、システムに共通に設定されていてもよいし、ユーザ属性に応じて異ならせることも可能である。例えば、頑張りすぎて体調を崩すことが多いユーザにとっては、いい勉強の習慣として体調を崩さない程度の勉強の習慣が望まれることから、背景目的と客観的に合致しないアドバイスによって休息をとることも重要とされるので、背景目的有効性判断上の反応の強さを重要視して、有効性判断類型上の反応の強さの程度の評価値：背景目的有効性判断上の反応の強さの程度の評価値を２対３とするということが考えられる。あるいは、日頃から言い訳ばかりで勉強を殆どしないユーザにとっては、多少の無理をしてもその日の行動を行うことが習慣化の上で重要視されることから、有効性判断類型上の反応の強さを重要視して、有効性判断類型上の反応の強さの程度の評価値：背景目的有効性判断上の反応の強さの程度の評価値を３対２とするということが考えられる。 When judging the effectiveness including the relationship with the background purpose, it is necessary to comprehensively judge the evaluation value of the strength of the response on the effectiveness judgment type and the degree of the response strength on the background purpose validity judgment. Become. The weightings of these two elements may be different in the determination. The difference in weighting may be commonly set in the system, or may be different depending on the user attribute. For example, for a user who is too hard working and often loses his physical condition, he / she wants to take a habit of studying without losing his physical condition as a good learning habit, so taking a rest by advice that does not objectively match background purpose As it is considered important, the importance of the response on the background purpose effectiveness judgment is emphasized, and the evaluation value of the degree of the response strength on the effectiveness judgment type: the strength of the reaction on the background purpose effectiveness judgment It is considered that the evaluation value of the degree of is set to 2 to 3. Or, for users who do not study very much because they always make excuses, it is regarded as important in the habitualization to perform the action of the day even if they overdo it, so the response on the effectiveness judgment typology is strong Value of the degree of response strength on effectiveness judgment typology, with emphasis on importance: Background purpose It can be considered that the evaluation value of the degree of reaction strength on effectiveness judgment is 3 to 2 .
　さらに、応答対話情報と実際の学習行動に齟齬が生じている場合が起こりえるので、対話情報の有効性の判断に当たって応答対話情報を補助する情報として学習履歴情報や学習効果情報を用いることも有益である。すなわち、応答対話情報では「すぐに行います」という意味内容を発信しているのに、学習履歴情報では学習をしている履歴情報が取得されていない、あるいは学習結果として適当に解答しているだけの実態が見受けられるという場合である。このような時には、虚偽の応答対話情報を出力したということになるので、「すぐに行います」が分類される「同意する発言」というプラスの有効性判断類型に分類される発言ではなく、「虚偽の発言」が分類される例えば「否定的な発言」「拒絶の発言」というマイナスの有効性判断類型に分類される発言として扱うべきである。したがって、このような場合には、ユーザの学習履歴情報や学習効果情報と応答対話情報の一致の程度あるいは矛盾の程度を判断することが求められる。応答対話情報との一致性の判断は、出力した対話情報の意味内容と学習履歴情報や学習効果情報が一致しているか一致していないかを判断する。この判断は、応答対話情報の有効性判断類型上の反応の強さの程度の評価値とを比較することによって行うことが可能である。学習履歴情報や学習効果情報から応答対話情報と同様の有効畝判断類型上の反応の強さの程度の評価値を取得する方法としては、先述の学習有効性判断ルール又は／及び学習履歴有効性判断ルールと同様のルールによって算出された値を用いて算出する方法が考えられる。 Furthermore, since there may be a case where there is a conflict between response dialogue information and actual learning behavior, it is also useful to use learning history information or learning effect information as information to assist response dialogue information in determining the effectiveness of the dialogue information. It is. That is, although response dialogue information is transmitting meaning contents of “it will be done immediately”, learning history information does not acquire history information which is learning, or is appropriately answered as a learning result It is the case that only the actual situation can be seen. In such a case, since it means that false response dialogue information is output, it is not a message classified as a positive validity judgment type “agreeing message” where “I will do it immediately” is classified, “ For example, it should be treated as an utterance classified as a negative validity judgment type such as "negative utterance" or "rejection statement" in which a false utterance is classified. Therefore, in such a case, it is required to determine the degree of coincidence or contradiction of the learning history information of the user, the learning effect information, and the response dialogue information. In the determination of the match with the response dialogue information, it is determined whether the meaning contents of the output dialogue information and the learning history information or the learning effect information match or do not match. This judgment can be made by comparing the evaluation value of the degree of the response strength on the effectiveness judgment type of the response dialogue information. As a method of acquiring the evaluation value of the degree of the response strength on the same effective habit judgment type as the response dialogue information from the learning history information and the learning effect information, the learning effectiveness judgment rule or / and the learning history effectiveness described above A method of calculating using a value calculated by the same rule as the determination rule can be considered.
　＜実施形態３１　学習応答対話情報有効性判断部＞
　「学習応答対話情報有効性判断部」は、出力された対話情報とこの対話情報に対して取得された応答対話情報と、学習応答有効性判断ルールとに基づいて対話情報の有効性を判断する。ある学習行動をユーザに実行させるまでの間に、ユーザと本対話式学習促進システムは対話情報の出力と応答対話情報の取得を複数回行うことが考えられる。出力した対話の有効性は、複数回の対話情報をある行動を実行させるための一連の対話の塊に対して行ってもよいし、対話一つ一つに対し一対一対応で行ってもよいし、両者によって判断してもよい。本対話式学習促進システムは、ユーザの意欲を刺激するために、ある行動を実行させるという目的を定めて、それを実現するまでユーザの属性に応じた対話形式の一環として複数のアプローチを繰り返す、前述のあきらめないルール又は／及びあきらめないルールを有する構成とすることが可能である。説得する必要があるユーザであれば、何度も同じことを繰り返したり行動の合理性を説明する対話情報を出力することが考えられるし、何度もお願いされると断れないタイプのユーザであれば、あの手この手で行動をお願いする対話情報を出力することになる。したがって、システムは、ある目的を定めて会話を開始し最終的に目的の実現化非実現の結果を取得するまでを一連のフレーズとして認識することが可能である。 Embodiment 31 Learning Response Dialogue Information Validity Determination Unit>
"Learning response dialogue information validity judgment unit" judges the validity of the dialogue information based on the outputted dialogue information, the response dialogue information acquired for the dialogue information, and the learning response validity judgment rule . It is conceivable that the user and the interactive learning promotion system perform the output of the dialogue information and the acquisition of the response dialogue information multiple times until the user executes the certain learning action. The effectiveness of the output dialogue may be performed on a series of dialogue chunks for executing a certain action for a plurality of times of dialogue information, or may be performed in a one-to-one correspondence for each dialogue. It may be judged by both parties. In order to stimulate the user's motivation, the present interactive learning promotion system defines a purpose of causing a certain action to be performed, and repeats a plurality of approaches as part of an interactive form according to the user's attributes until it is realized. It is possible to be configured as having the above-mentioned rule not to give up or / and the rule not to give up. If it is a user who needs to be persuaded, it may be possible to repeat the same thing over and over again, or to output dialogue information that explains the rationality of the action, and even if it is a type of user who refuses to ask again and again For example, it will output dialogue information asking you to act with that hand. Therefore, the system can recognize a certain purpose, start a conversation, and finally obtain a result of realization of the objective realization as a series of phrases.
　＜実施形態３１　ハードウェア構成＞
　実施形態３１のハードウェア構成は、図３７に示す実施形態１２、図４０に示す実施形態１３の構成又は図４３に示す実施形態１４（ただし第三学習カリキュラム情報取得部は必須の構成ではない。）を基本とする。実施形態１２から実施形態１６のいずれか一との共通の動作をするプログラムについての説明は省略する。本実施形態で新たに加わる「学習応答対話情報取得プログラム」は、出力した対話情報に対応するユーザの応答対話情報を取得する。「学習応答有効性判断ルール保持プログラム」は、学習応答有効性判断ルールを保持する。「学習応答対話情報有効性判断プログラム」は、学習応答有効性判断ルールに基づいて、出力した対話情報の有効性を判断する。この図にあるように本発明は、基本的に汎用コンピュータとプログラム、各種デバイスで構成することが可能である。コンピュータの動作は基本的に不揮発性メモリに記録されているプログラムやデータを主メモリにロードして、主メモリとＣＰＵと各種デバイスとで処理を実行していく形態をとる。デバイスとの通信は、バス線と繋がったインターフェイスを介して行われる。プログラムのより詳細な動作は各構成の説明で記載される動作を実現するものであり詳細はそちらを参照のこと。これら不揮発性メモリからメインメモリにコピーされた一連のプログラムの実行命令に基づいてこれらのプログラムが順次又は常時実行される。なお、データとしては、ユーザ識別情報（場合によりこれに関連付けられるユーザ属性情報）、外部情報（ＳＮＳユーザ関連情報を含む）、学習履歴情報、学習効果情報、学習分析ルール、学習状況情報、対話情報、ユーザ別対話情報選択ルール、選択した対話情報、応答対話情報、学習応答有効性判断ルール、学習応答有効性判断結果、図示しない通信など各種の設定情報等が不揮発性メモリに保持され、主メモリにロードされ、一連のプログラム実行に際して参照され、利用される。 Embodiment 31 Hardware Configuration
The hardware configuration of the embodiment 31 is the configuration of the embodiment 12 shown in FIG. 37, the configuration of the embodiment 13 shown in FIG. 40 or the embodiment 14 shown in FIG. 43 (however, the third learning curriculum information acquisition unit is not an essential configuration). Based on). The description of the program which performs the common operation with any one of the twelfth to sixteenth embodiments is omitted. The “learning response dialogue information acquisition program” newly added in the present embodiment acquires the user's response dialogue information corresponding to the outputted dialogue information. The “learning response validity determination rule holding program” holds a learning response validity determination rule. The “learning response dialogue information validity judgment program” judges the validity of the outputted dialogue information based on the learning response validity judgment rule. As shown in this figure, the present invention can basically be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory. As data, user identification information (user attribute information associated with it in some cases), external information (including SNS user related information), learning history information, learning effect information, learning analysis rules, learning status information, dialogue information Non-volatile memory holds various setting information etc., such as user-specific dialogue information selection rule, selected dialogue information, selected dialogue information, response dialogue information, learning response validity judgment rule, learning response validity judgment result, communication not shown, etc. , And referenced and used during a series of program execution.
＜実施形態３１　処理の流れ＞
　実施形態３１の対話式学習促進システムの処理の流れの一例は、図３８に示す実施形態１２、図４１に示す実施形態１３の構成又は図４４に示す実施形態１４（ただし第三学習カリキュラム情報取得部は必須の構成ではない。）の処理の流れを基本とする。実施形態１２から実施形態１６との共通の情報処理を行うステップについての説明は省略する。本実施形態で新たに加わるステップとして、出力した対話情報に対する応答対話情報を取得する応答対話情報取得ステップと、学習応答有効性判断ルールを保持する学習応答有効性判断ルール保持ステップと、学習応答有効性判断ルールに基づいて出力した対話情報の有効性を判断する学習応答対話情報有効性判断ステップと、を有する。 <The flow of the thirty-first embodiment>
One example of a process flow of the interactive learning promotion system according to the embodiment 31 is the configuration of the embodiment 12 shown in FIG. 38, the configuration of the embodiment 13 shown in FIG. 41 or the embodiment 14 shown in FIG. Part is not an essential part of the process)). The description of the steps for performing the common information processing in the twelfth to sixteenth embodiments is omitted. A response dialog information acquisition step of acquiring response dialog information to the output dialog information, a learning response validity judgment rule holding step of holding a learning response validity judgment rule, and a learning response validity as steps newly added in the present embodiment A learning response dialogue information validity judgment step of judging the validity of the outputted dialogue information based on the sex judgment rule.
　＜実施形態３２＞
　＜実施形態３２　発明の概要＞
　本実施形態は、対話式学習促進システムに関する発明である。実施形態１２から実施形態１６に記載の対話式学習促進システムの特徴に加えて、本実施形態の発明は、応答対話情報を基に取得した出力した対話情報の有効性を、統計的に処理することで学習応答統計的対話情報有効性を取得するための、学習応答有効処理ルール保持手段及び学習応答統計的対話情報有効性情報取得手段を有することを特徴とする。 Embodiment 32
<Embodiment 32 Outline of the Invention>
The present embodiment is an invention related to an interactive learning promotion system. In addition to the features of the interactive learning promotion system according to the twelfth to sixteenth embodiments, the invention of the present embodiment statistically processes the validity of the output dialogue information acquired based on the response dialogue information. Thus, it is characterized by having learning response effective processing rule holding means and learning response statistical interaction information effectiveness information obtaining means for obtaining learning response statistical interaction information validity.
＜実施形態３２　発明の構成＞
　実施形態３２の対話式学習促進システムの構成の一例は、図３６に示す実施形態１２、図３９に示す実施形態１３の構成又は図４２に示す実施形態１４（ただし第三学習カリキュラム情報取得部は必須の構成ではない。）を基本とする。実施形態１２から実施形態１６のいずれか一との共通の構成の説明は省略する。本実施形態で新たに加わる構成は、学習応答有効性統計処理ルール保持手段、学習応答統計的対話情報有効性情報取得手段、である。 <Embodiment 32: Configuration of the Invention>
One example of the configuration of the interactive learning promotion system of the embodiment 32 is the configuration of the embodiment 12 shown in FIG. 36, the configuration of the embodiment 13 shown in FIG. 39 or the embodiment 14 shown in FIG. It is not a required configuration. The description of the configuration common to any one of the twelfth to sixteenth embodiments is omitted. The configurations newly added in this embodiment are a learning response effectiveness statistical processing rule holding means, and a learning response statistical dialogue information effectiveness information acquiring means.
　＜実施形態３２　構成の説明＞
　＜実施形態３２　学習応答有効性統計処理ルール保持手段＞
　「学習応答有効性統計処理ルール保持手段」は、学習応答対話情報有効性判断部が有する手段であって、複数のユーザの対話情報の有効性を母集団に対して一部は共通のユーザ属性ごとに統計処理するルールである学習応答有効性統計処理ルールを保持する。基本的には、前述の実施形態１７にて説明済みの統計処理を応答対話情報を利用して有効性の判断を行うもので、学習効果情報や学習履歴情報に代えて応答対話情報とした点以外は共通である。 <Description of the configuration of the thirty-second embodiment>
<Thirty-second embodiment of learning response effectiveness statistical processing rule holding means>
"Learning response effectiveness statistical processing rule holding means" is a means possessed by the learning response dialogue information validity judgment unit, and the effectiveness of dialogue information of a plurality of users is partially shared by the user with respect to the population Holds the learning response effectiveness statistical processing rule, which is the rule to perform statistical processing every time. Basically, the statistical processing described in the seventeenth embodiment described above is used to determine the effectiveness using response dialogue information, and the learning effect information and the learning history information are replaced by response dialogue information. The rest is common.
　＜実施形態３２　学習応答統計的対話情報有効性情報取得手段＞　　
　「学習応答統計的対話情報有効性情報取得手段」は、複数のユーザの対話情報と、保持されている学習応答有効性統計処理ルールとに基づいて、統計的に対話情報の有効性を少なくとも母集団に対して一部は共通のユーザ属性ごとに判断した学習応答統計的対話情報有効性情報を取得する学習応答対話情報有効性判断部が有する手段である。 Embodiment 32 Learning Response Statistical Dialogue Information Validity Information Acquisition Means
The “learning response statistical dialogue information validity information acquiring means” statistically generates at least the effectiveness of the dialogue information on the basis of the dialogue information of a plurality of users and the learning response validity statistical processing rules held. A part of the group is a means included in the learning response dialogue information validity determining unit for acquiring learning response statistical dialogue information validity information determined for each common user attribute.
＜実施形態３２　ハードウェア構成＞
　実施形態３２のハードウェア構成は、図３７に示す実施形態１２、図４０に示す実施形態１３の構成又は図４３に示す実施形態１４（ただし第三学習カリキュラム情報取得部は必須の構成ではない。）を基本とする。実施形態１２から実施形態１６のいずれか一との共通の動作をするプログラムについての説明は省略する。本実施形態で新たに加わるプログラム、「学習応答統計処理ルール保持プログラム」は、学習応答統計処理ルールを保持する。「学習応答統計的対話情報有効性情報取得プログラム」は、学習応答統計処理ルールに基づき学習応答統計的対話情報有効性情報を取得する。この図にあるように本発明は、基本的に汎用コンピュータとプログラム、各種デバイスで構成することが可能である。コンピュータの動作は基本的に不揮発性メモリに記録されているプログラムやデータを主メモリにロードして、主メモリとＣＰＵと各種デバイスとで処理を実行していく形態をとる。デバイスとの通信は、バス線と繋がったインターフェイスを介して行われる。プログラムのより詳細な動作は各構成の説明で記載される動作を実現するものであり詳細はそちらを参照のこと。これら不揮発性メモリからメインメモリにコピーされた一連のプログラムの実行命令に基づいてこれらのプログラムが順次又は常時実行される。なお、データとしては、ユーザ識別情報（場合によりこれに関連付けられるユーザ属性情報）、外部情報（ＳＮＳユーザ関連情報を含む）、学習履歴情報、学習効果情報、学習分析ルール、学習状況情報、対話情報、ユーザ別対話情報選択ルール、選択した対話情報、応答対話情報、学習応答有効性判断ルール、学習応答有効性判断結果、学習応答統計処理ルール、学習応答統計的対話情報有効性情報、図示しない通信など各種の設定情報等が不揮発性メモリに保持され、主メモリにロードされ、一連のプログラム実行に際して参照され、利用される。 Embodiment 32 Hardware Configuration
The hardware configuration of the embodiment 32 is the configuration of the embodiment 12 shown in FIG. 37, the configuration of the embodiment 13 shown in FIG. 40 or the embodiment 14 shown in FIG. 43 (however, the third learning curriculum information acquisition unit is not an essential configuration). Based on). The description of the program which performs the common operation with any one of the twelfth to sixteenth embodiments is omitted. The program that is newly added in the present embodiment, "the learning response statistical processing rule holding program" holds the learning response statistical processing rule. The “learning response statistical dialogue information validity information acquiring program” acquires learning response statistical dialogue information validity information based on a learning response statistical processing rule. As shown in this figure, the present invention can basically be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory. As data, user identification information (user attribute information associated with it in some cases), external information (including SNS user related information), learning history information, learning effect information, learning analysis rules, learning status information, dialogue information , User-specific dialogue information selection rule, selected dialogue information, response dialogue information, learning response validity judgment rule, learning response validity judgment result, learning response statistical processing rule, learning response statistical dialogue information validity information, communication not shown Etc. are stored in the non-volatile memory, loaded into the main memory, and referenced and used in executing a series of programs.
＜実施形態３２　処理の流れ＞
　実施形態３２の対話式学習促進システムの処理の流れの一例は、図３８に示す実施形態１２、図４１に示す実施形態１３の構成又は図４４に示す実施形態１４（ただし第三学習カリキュラム情報取得部は必須の構成ではない。）の処理の流れを基本とする。実施形態１２から実施形態１６のいずれか一との共通の情報処理を行うステップについての説明は省略する。本実施形態で新たに加わるステップとして、学習応答有効性統計処理ルールを保持する学習応答有効性統計処理ルール保持サブステップと、学習応答有効性統計処理ルールに基づいて学習応答統計的対話情報有効性情報を取得する学習応答統計的対話情報有効性情報取得サブステップと、を有する。 <Embodiment 32 Process Flow>
One example of the process flow of the interactive learning promotion system of the embodiment 32 is the configuration of the embodiment 12 shown in FIG. 38, the configuration of the embodiment 13 shown in FIG. 41 or the embodiment 14 shown in FIG. Part is not an essential part of the process)). The description of the steps for performing the common information processing with any one of the twelfth to sixteenth embodiments is omitted. As a step newly added in the present embodiment, a learning response validity statistical processing rule holding sub step holding learning response validity statistical processing rules, and learning response statistical dialogue information validity based on the learning response validity statistical processing rules Learning response statistical dialogue information validity information acquiring substep for acquiring information.
＜実施形態３３＞
＜実施形態３３　発明の概要＞
　実施形態３３は対話式学習促進システムに関する発明である。実施形態３１又は実施形態３２の発明の特徴に加えて、学習応答対話情報有効性判断結果に基づいてユーザ別対話情報選択ルールを変更することを特徴とする。 The thirty-third embodiment
Outline of the Invention
Embodiment 33 is an invention related to an interactive learning promotion system. In addition to the feature of the invention of the embodiment 31 or the embodiment 32, it is characterized in that the user-by-user dialogue information selection rule is changed based on the learning response dialogue information validity judgment result.
＜実施形態３３　発明の構成＞
　実施形態３３の対話式促進システムの構成の一例は、実施形態３１又は実施形態３２の構成を基本とする。実施形態３１又は実施形態３２との共通の構成の説明は省略する。本実施形態で新たに加わる構成は、学習応答ユーザ別対話情報選択ルール更新部、である。 <Embodiment 33: Configuration of the Invention>
An example of a structure of the interactive promotion system of Embodiment 33 is based on the structure of Embodiment 31 or Embodiment 32. The description of the common structure with Embodiment 31 or Embodiment 32 is omitted. The configuration newly added in the present embodiment is the learning response user-by-user dialogue information selection rule updating unit.
＜実施形態３３　構成の説明＞
＜実施形態３３　学習応答ユーザ別対話情報選択ルール更新部＞
　「学習応答ユーザ別対話情報選択ルール更新部」は、実施形態３２に記載の学習応答対話情報有効性判断部での判断結果に基づいてユーザ別対話情報選択ルール保持部に保持されているユーザ別対話情報選択ルールを更新する。有効性相対的にが低い対話情報は選択される確率や、選択されるシチュエーションが減少し（対話情報が取得された学習状況情報の階層的な構造に関連付けられている場合には、その関連付けが解除されるなど）また有効性が相対的に高い場合には逆の処理が行われる。応答対話情報を利用する点を除いて基本的に実施形態１８と共通の処理を行う。 <Description of the configuration of the thirty-third embodiment>
<Embodiment 33: Learning response user-by-user dialogue information selection rule updating unit>
The “learning response user-by-user dialogue information selection rule updating unit” is a user-by-user dialogue information selecting rule holding unit based on the determination result of the learning response dialogue information validity determining unit described in the thirty-second embodiment. Update the dialogue information selection rule. The dialog information whose effectiveness is relatively low is less likely to be selected, and the situation to be selected decreases (if the dialog information is associated with the hierarchical structure of the acquired learning status information, the association is When the effectiveness is relatively high, the reverse process is performed. Basically, the same process as in Embodiment 18 is performed except that the response dialogue information is used.
＜実施形態３３　ハードウェア構成＞
　実施形態３３のハードウェア構成は、実施形態３１又は実施形態３２のハードウェア構成を基本とする。実施形態３１又は実施形態３２との共通の動作をするプログラムについての説明は省略する。本実施形態で加わる新たなプログラム、「学習応答ユーザ別対話情報選択ルール更新プログラム」は、有効性判断結果に基づきユーザ別対話情報選択ルールを更新する。本発明は、基本的に汎用コンピュータとプログラム、各種デバイスで構成することが可能である。コンピュータの動作は基本的に不揮発性メモリに記録されているプログラムやデータを主メモリにロードして、主メモリとＣＰＵと各種デバイスとで処理を実行していく形態をとる。デバイスとの通信は、バス線と繋がったインターフェイスを介して行われる。プログラムのより詳細な動作は各構成の説明で記載される動作を実現するものであり詳細はそちらを参照のこと。これら不揮発性メモリからメインメモリにコピーされた一連のプログラムの実行命令に基づいてこれらのプログラムが順次又は常時実行される。なお、データとしては、ユーザ識別情報（場合によりこれに関連付けられるユーザ属性情報）、外部情報（ＳＮＳユーザ関連情報を含む）、学習履歴情報、学習効果情報、学習分析ルール、学習状況情報、対話情報、ユーザ別対話情報選択ルール、選択した対話情報、応答対話情報、学習応答有効性判断ルール、学習応答有効性判断結果、更新ユーザ別対話情報選択ルール、図示しない通信など各種の設定情報等が不揮発性メモリに保持され、主メモリにロードされ、一連のプログラム実行に際して参照され、利用される。 <Embodiment 33 Hardware Configuration>
The hardware configuration of the thirty-third embodiment is based on the hardware configuration of the thirty-first or thirty-second embodiment. The description of the program that performs the same operation as in the thirty-first embodiment or the thirty-second embodiment will be omitted. A new program to be added in the present embodiment, "learning response user-specific dialog information selection rule update program" updates the user-specific dialog information selection rule based on the validity determination result. The present invention can basically be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory. As data, user identification information (user attribute information associated with it in some cases), external information (including SNS user related information), learning history information, learning effect information, learning analysis rules, learning status information, dialogue information User-specific dialog information selection rules, selected dialog information, response dialog information, learning response validity determination rules, learning response validity determination results, update user-specific dialog information selection rules, various settings information such as communication not shown, etc. are non-volatile It is held in the memory, loaded into the main memory, and referred to and used when executing a series of programs.
＜実施形態３３　処理の流れ＞
　実施形態３３の対話式学習促進システムの処理の流れの一例は、実施形態３１又は実施形態３２の処理の流れを基本とする。実施形態３１又は実施形態３２との共通の情報処理を行うステップについての説明は省略する。本実実施形態で新たに加わるステップとして、有効性判断結果に基づいてユーザ別対話情報選択ルールを更新する学習応答ユーザ別対話情報選択ルール更新ステップを有する。 <Embodiment 33 Flow of Processing>
An example of the process flow of the interactive learning promotion system of the embodiment 33 is based on the process flow of the embodiment 31 or the embodiment 32. The description of the steps for performing the information processing in common with Embodiment 31 or Embodiment 32 will be omitted. As a newly added step in the present embodiment, there is provided a learning response-by-user dialog information selection rule updating step of updating the user-by-user dialog information selection rule based on the validity determination result.
＜実施形態３４＞
＜実施形態３４　発明の概要＞
　実施形態３４は、対話式学習促進システムに関する発明である。実施形態３２又は実施形態３２を基本とする実施形態３３の特徴に加えて、学習応答統計的対話情報有効性判断情報に基づいてユーザ別対話情報選択ルールを更新する学習応答統計的ユーザ別対話情報選択ルール更新部を有することを特徴とする。 The thirty-fourth embodiment
<Embodiment 34 Outline of the Invention>
Embodiment 34 is an invention related to an interactive learning promotion system. In addition to the features of the embodiment 32 based on the embodiment 32 or the embodiment 32, the learning response statistical interaction information by user for updating the user interaction information selection rule based on the learning response statistical interaction information validity judgment information A selection rule updating unit is provided.
＜実施形態３４　発明の構成＞
　実施形態３４の対話式学習促進システムの構成の一例は、実施形態３２又は実施形態３２を基本とする実施形態３３を基本とする。実施形態３２又は実施形態３２を基本とする実施形態３３との共通の構成の説明は省略する。本実施形態で新たに加わる構成は、学習応答統計的ユーザ別対話情報選択ルール更新部、である。 <Embodiment 34: Configuration of the Invention>
An exemplary configuration of the interactive learning promotion system according to the thirty-fourth embodiment is based on the thirty-second embodiment or the thirty-third embodiment based on the thirty-second embodiment. The description of the common structure with Embodiment 32 based on Embodiment 32 or Embodiment 32 is omitted. The configuration newly added in the present embodiment is a learning response statistical user-specific dialogue information selection rule updating unit.
＜実施形態３４　学習応答統計的ユーザ別対話情報選択ルール更新部＞
　「学習応答統計的ユーザ別対話情報選択ルール更新部」の働きは、実施形態３２の学習応答統計的対話情報有効性情報に基づきユーザ別対話情報選択ルールを更新する。更新に関しては既に述べたと同様の処理が行われる。応答対話情報を利用する点を除き実施形態１９と基本的に同様の処理をする。 <Embodiment 34: Learning response statistical user-specific dialogue information selection rule updating unit>
The function of the “learning response statistical user-specific dialogue information selection rule updating unit” updates the user-specific dialogue information selection rule based on the learning response statistical dialogue information validity information of the embodiment 32. The same process as described above is performed for the update. The process is basically the same as that of the nineteenth embodiment except that the response dialogue information is used.
＜実施形態３４　ハードウェア構成＞
　実施形態３４のハードウェア構成は、実施形態３２又は実施形態３２を基本とする実施形態３３のハードウェア構成を基本とする。実施形態３２又は実施形態３２に従属する実施形態３３との共通の動作をするプログラムについての説明は省略する。本実施形態で新たに加わるプログラム、「学習応答統計的ユーザ別対話情報選択ルール更新プログラム」は学習応答統計的対話情報有効性情報に基づいてユーザ別対話情報選択ルールを更新する。本発明は、基本的に汎用コンピュータとプログラム、各種デバイスで構成することが可能である。コンピュータの動作は基本的に不揮発性メモリに記録されているプログラムやデータを主メモリにロードして、主メモリとＣＰＵと各種デバイスとで処理を実行していく形態をとる。デバイスとの通信は、バス線と繋がったインターフェイスを介して行われる。プログラムのより詳細な動作は各構成の説明で記載される動作を実現するものであり詳細はそちらを参照のこと。これら不揮発性メモリからメインメモリにコピーされた一連のプログラムの実行命令に基づいてこれらのプログラムが順次又は常時実行される。なお、データとしては、ユーザ識別情報（場合によりこれに関連付けられるユーザ属性情報）、外部情報（ＳＮＳユーザ関連情報を含む）、学習履歴情報、学習効果情報、学習分析ルール、学習状況情報、対話情報、ユーザ別対話情報選択ルール、選択した対話情報、応答対話情報、学習応答有効性判断ルール、学習応答有効性判断結果、学習応答統計処理ルール、学習応答統計的対話情報有効性情報、更新ユーザ別対話情報選択ルール、図示しない通信など各種の設定情報等が不揮発性メモリに保持され、主メモリにロードされ、一連のプログラム実行に際して参照され、利用される。 The hardware configuration of the thirty-fourth embodiment
The hardware configuration of the thirty-fourth embodiment is based on the hardware configuration of the thirty-second embodiment or the thirty-third embodiment. The description of a program which performs the same operation as in Embodiment 32 or Embodiment 33 subordinate to Embodiment 32 will be omitted. The program newly added in the present embodiment, “Learning Response Statistical User-specific Dialogue Information Selection Rule Update Program,” updates the user-specific dialogue information selection rule based on learning response statistical dialogue information validity information. The present invention can basically be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory. As data, user identification information (user attribute information associated with it in some cases), external information (including SNS user related information), learning history information, learning effect information, learning analysis rules, learning status information, dialogue information Individual user dialogue information selection rule Selected dialogue information Response dialogue information Learning response validity judgment rule Learning response validity judgment result Learning response statistical processing rule Learning response statistical dialogue information validity information By update user A dialogue information selection rule, various setting information such as communication not shown, and the like are held in the non-volatile memory, loaded into the main memory, and referenced and used in executing a series of programs.
＜実施形態３４　処理の流れ＞
　実施形態３４の対話式学習促進システムの処理の流れの一例は、実施形態３２又は実施形態３２を基本とする実施形態３３のハードウェア構成を基本とする。実施形態３２又は実施形態３２を基本とする実施形態３３との共通の情報処理を行うステップについての説明は省略する。本実施形態で新たに加わるステップとして、学習応答統計的対話情報有効性情報をもとにユーザ別対話情報選択ルールを更新する学習応答統計的ユーザ別対話情報選択ルール更新ステップを有する。 <The flow of the thirty-fourth embodiment>
An example of the process flow of the interactive learning promotion system of the thirty-fourth embodiment is based on the hardware configuration of the thirty-second embodiment or the thirty-third embodiment. The description of the steps in which information processing in common with Embodiment 32 or Embodiment 33 based on Embodiment 32 is omitted. As a newly added step in the present embodiment, there is a learning response statistical user-by-user dialog information selection rule updating step of updating the user-by-user dialog information selection rule based on the learning response statistical dialog information validity information.
＜実施形態３５＞
＜実施形態３５　発明の概要＞
　実施形態３５は、対話式購入促進システムに関する発明である。実施形態２２から実施形態２４に記載の発明の特徴に加えて、ユーザの応答対話情報を基に出力した対話情報の有効性を判断するための購買応答対話情報取得部と購買応答有効性判断ルール保持部と購買応答対話情報有効性判断部を有することを特徴とする。 The thirty-fifth embodiment
<Embodiment 35: Outline of the Invention>
Embodiment 35 is an invention related to an interactive purchase promotion system. In addition to the features of the invention described in the twenty-second to twenty-fourth embodiments, a purchase response dialogue information acquisition unit and a purchase response validity determination rule for determining the validity of dialogue information output based on the user's response dialogue information A holding unit and a purchase response dialogue information validity judging unit are characterized.
＜実施形態３５　発明の構成＞
　実施形態３５の対話式購入促進システムの構成の一例は、図６０に示す実施形態２２の構成又は図６３に示す実施形態２３の構成を基本として、購買応答対話情報取得部、購買応答有効性判断ルール保持部、購買応答対話情報有効性判断部を新たに有する構成である。実施形態２２から実施形態２４のいずれか一との共通の構成の説明は省略し、本実施形態に特有の構成についてのみ説明をする。 <Embodiment 35: Configuration of the Invention>
An example of the configuration of the interactive purchase promotion system according to the thirty-fifth embodiment is based on the configuration of the twenty-second embodiment shown in FIG. 60 or the configuration of the twenty-third embodiment shown in FIG. It is the structure which newly has a rule holding | maintenance part and a purchase response dialogue information effectiveness judgment part. The description of the common configuration with any one of the twenty-second to twenty-fourth embodiments will be omitted, and only the configuration unique to this embodiment will be described.
＜実施形態３５　構成の説明＞
＜実施形態３５　購買応答対話情報取得部＞
　「購買応答対話情報取得部」は、出力された対話情報に対する応答対話情報を取得する。応答対話情報は、対話情報に対するユーザの反応を示す情報である。例えば、ＳＮＳを通じてユーザが出力する文字情報、ユーザが出力する絵文字やピクチャースタンプ、音声応答、動画、静止画、行動・ライフログ情報（例えばユーザの心拍数や脳波、ＧＰＳや他の外部情報機器から本システムにとりこむことが可能なユーザの行動に関する情報）、等が考えられる。行動や音声という、プラスの方向に認識できるものだけでなく、無音、無反応、無視している、電源を切っている、通信を切断してる、といった無の状態の観測についても、ユーザの意識的な対応と言えることから、ユーザの応答対話情報ということができる。応答対話情報は、後述するように出力した対話情報の有効性を判断するために活用されることから、出力されたいずれの対話情報に対する応答対話情報であるかを特定するために、出力対話情報識別情報と関連付けて取得されることが考えられる。また、応答対話情報は、それ自体が購買ＳＮＳユーザ関連情報に含むことが可能であるし、対話情報蓄積部に蓄積される対話情報に含めることも可能である。さらに、応答対話情報には、ユーザの個性や対話形式が直接表現されることから、ユーザ属性の分析のために利用する、あるいはユーザ属性情報として蓄積する構成にすることも可能である。本システムは、システムが対話情報を出力すると、ユーザがこれに自由に応答対話情報を返す構造となっている。この点に関しては、実施形態３１で説明したものと同様となる。 <Description of the configuration of the thirty-fifth embodiment>
Embodiment 35 Purchase Response Dialogue Information Acquisition Unit
The “purchase response dialogue information acquisition unit” acquires response dialogue information for the outputted dialogue information. The response dialogue information is information indicating the reaction of the user to the dialogue information. For example, character information output by the user through SNS, pictograms or picture stamps output by the user, voice response, moving image, still image, action / life log information (for example, from the user's heart rate or brain waves, GPS or other external information devices) Information on the user's behavior that can be incorporated into the present system, etc. can be considered. The user's awareness of observation of not only action or voice, which can be recognized in the positive direction, but also observation of no states such as silence, no reaction, ignoring, turning off, disconnecting communication, etc. It can be said that the user's response dialogue information because it can be said that Since the response dialogue information is utilized to determine the validity of the outputted dialogue information as described later, the outputted dialogue information is used to identify which of the outputted dialogue information is the response dialogue information. It is conceivable that the information is acquired in association with the identification information. Further, the response dialogue information can be included in the purchasing SNS user related information itself or can be included in the dialogue information stored in the dialogue information storage unit. Furthermore, since the user's individuality and interaction style are directly expressed in the response dialogue information, it is possible to use it for analysis of user attributes or to store it as user attribute information. The present system is structured such that when the system outputs the dialogue information, the user freely responds to the dialogue information. This point is the same as that described in the thirty-first embodiment.
　＜実施形態３５　購買応答有効性判断ルール保持部＞
　「学習応答有効性判断ルール保持部」は、出力された対話情報に対して取得された応答対話情報に基づいて対話情報が有効であったか判断するルールである購買応答有効性判断ルールを保持する。「購買応答有効性判断ルール」は、ユーザが対話情報によって意図した行動をとったか、意図した概念がユーザに形成されたか、を対話情報から判断して、出力した対話情報の有効性を判断するルールである。出力した対話情報に対するユーザの応答対話情報が特定商品との関係でプラスの反応であるか特定の商品との関係でマイナスの反応であるかによって、特定商品の購買に向けて出力した対話情報の有効性を判断するシステムである。 <The thirty-fifth embodiment of the purchase response effectiveness determination rule holding unit>
The “learning response validity determination rule holding unit” holds a purchase response validity determination rule which is a rule for determining whether the dialog information is valid based on the response dialog information acquired for the output dialog information. The “purchase response validity determination rule” determines the validity of the output dialogue information by judging from the dialogue information whether the user has taken the intended action by the dialogue information or whether the intended concept has been formed for the user It is a rule. Depending on whether the user's response dialog information to the output dialogue information is a positive response in relation to the specific product or a negative response in relation to the specific product, the dialogue information output for the purchase of the specific product It is a system that determines the effectiveness.
　例えば、特定商品の購買に向けてユーザに出力した対話情報に対する応答対話情報の有効性の判断方法としては、特定商品との関係でプラスの反応と判断できる表現の類型（例えば、意欲を示す発言、受け入れる発言、同意する発言、積極的に提案を行う発言、目標を設定する発言等）と特定商品との関係でマイナスの反応と判断できる表現の類型（拒絶の表現、意欲がない表現、言い訳、否定的な発言、後回しにする発言、無反応（未読の場合と既読の場合いずれも含む）等）、場合によっては中立の表現の類型（例えば、時候の挨拶、世間話、擬音等）の一以上の有効性判断類型に分類することで行う方法が考えられる。この分類の種類数や区分数は、システムの運用ポリシーに基づいて設定することができる。 For example, as a method of judging the effectiveness of response dialogue information to dialogue information outputted to the user for purchase of a specific product, types of expressions that can be judged as positive reactions in relation to the specific product (for example, a statement showing motivation) Type of expression that can be judged as a negative reaction in relation to a specific product, speech to accept, speech to agree, speech to make a proposal actively, speech to set a goal, etc. (expression of refusal, expression without motivation, excuses, excuses , Negative remarks, late remarks, no reaction (including unread and read cases), etc., and in some cases neutral expression types (eg, hourly greetings, talks, onomatopoeic, etc.) This method can be considered by classifying it into one or more validity judgment types. The number of types and the number of divisions of this classification can be set based on the operation policy of the system.
　取得した応答対話情報を各類型に分類する工程は、購買応答対話情報取得部の取得の段階で行う構成にしてもよいし、購買応答有効性判断ルール保持部の有する購買応答有効性判断ルールの内容としてもよい。いずれの構成であっても、次に示すような応答対話情報を有効性判断類型に分配するために、応答対話情報と有効性判断類型の同一性を判断する必要があるため、同様の構成を有することになる。以下では、購買応答有効性判断ルール保持部によって、取得した対話情報を各類型に分類する場合を想定して説明する。 The step of classifying the acquired response dialogue information into each type may be performed at the stage of acquisition of the purchase response dialogue information acquisition unit, or the purchase response validity judgment rule possessed by the purchase response validity judgment rule holding unit It may be content. In any configuration, it is necessary to determine the sameness between the response dialogue information and the validity judgment type in order to distribute the response dialogue information as shown below to the validity judgment type. It will have. In the following, it is assumed that the purchase response validity judgment rule holding unit classifies the acquired dialogue information into each type.
　購買応答対話情報有効性判断ルールは、少なくとも応答対話情報の意味内容を確定するためのルールと、特定商品の購買に向けて出力した対話情報の有効性を判断するためのルールの二つによって構成される。さらに、特定商品との関係で応答対話情報の意味内容を有効性判断類型に分類するためのルールを独立に持たせる場合と、特定商品との関係で応答対話情報の意味内容を有効性判断類型に分類するためのルールを応答対話情報の意味内容を確定するためのルール又は出力した対話情報の有効性を判断するルールのいずれかに含まれるように構成する場合が考えられる。有効性判断ルールの詳細に関しては実施形態３１等での説明と同様である。 The purchase response dialogue information validity judgment rule is constituted by at least a rule for determining the meaning content of the response dialogue information, and a rule for judging the validity of the dialogue information outputted for the purchase of a specific product. Be done. Furthermore, in the case where a rule for classifying the semantic content of the response dialogue information into the validity judgment type is independently provided in relation to the specific product, and the meaning content of the response dialogue information in the relationship with the specific product is the effectiveness judgment type It is conceivable that the rule to be classified into is included in either the rule for determining the semantic content of the response dialogue information or the rule for judging the validity of the outputted dialogue information. The details of the validity determination rule are the same as those described in the thirty-first embodiment and the like.
　＜実施形態３５　購買応答対話情報有効性判断部＞
　「購買応答対話情報有効性判断部」は、出力された対話情報とこの対話情報に対して取得された応答対話情報と購買応答有効性判断ルールとに基づいて対話情報の有効性を判断する。具体的内容は実施形態３１と同様である。 <Embodiment 35 Purchase Response Dialog Information Validity Determination Unit>
The “purchase response dialogue information validity judgment unit” judges the validity of the dialogue information based on the outputted dialogue information, the response dialogue information acquired for the dialogue information, and the purchase response validity judgment rule. The specific content is the same as that of the thirty-first embodiment.
＜実施形態３５　ハードウェア構成＞
　実施形態３５のハードウェア構成は、、図６１に示す実施形態２２の構成又は図６４に示す実施形態２３の構成を基本とする。実施形態２２から実施形態２４のいずれか一との共通の動作をするプログラムについての説明は省略する。本実施形態で新たに加わる「購買応答対話情報取得プログラム」は、出力した対話情報に対応するユーザの応答対話情報を取得する。「購買応答有効性判断ルール保持プログラム」は、購買応答有効性判断ルールを保持する。「購買応答対話情報有効性判断プログラム」は、購買応答有効性判断ルールに基づいて、出力した対話情報の有効性を判断する。この図にあるように本発明は、基本的に汎用コンピュータとプログラム、各種デバイスで構成することが可能である。コンピュータの動作は基本的に不揮発性メモリに記録されているプログラムやデータを主メモリにロードして、主メモリとＣＰＵと各種デバイスとで処理を実行していく形態をとる。デバイスとの通信は、バス線と繋がったインターフェイスを介して行われる。プログラムのより詳細な動作は各構成の説明で記載される動作を実現するものであり詳細はそちらを参照のこと。これら不揮発性メモリからメインメモリにコピーされた一連のプログラムの実行命令に基づいてこれらのプログラムが順次又は常時実行される。なお、データとしては、ユーザ識別情報（場合によりこれに関連付けられるユーザ属性情報）、外部情報（ＳＮＳユーザ関連情報を含む）、購買履歴情報、宣伝広告発信履歴情報、購買分析ルール、購入状況情報、対話情報、ユーザ別対話情報選択ルール、選択した対話情報、応答対話情報、購買応答有効性判断ルール、購買応答有効性判断結果、図示しない通信など各種の設定情報等が不揮発性メモリに保持され、主メモリにロードされ、一連のプログラム実行に際して参照され、利用される。 Embodiment 35 Hardware Configuration
The hardware configuration of the thirty-fifth embodiment is based on the configuration of the twenty-second embodiment shown in FIG. 61 or the configuration of the twenty-third embodiment shown in FIG. The description of the program which performs the common operation with any one of the twenty-second embodiment to the twenty-fourth embodiment will be omitted. The "purchase response dialogue information acquisition program" newly added in the present embodiment acquires the user's response dialogue information corresponding to the outputted dialogue information. The “purchase response validity determination rule holding program” holds purchase response validity determination rules. The “purchase response dialogue information validity judgment program” judges the validity of the outputted dialogue information based on the purchase response validity judgment rule. As shown in this figure, the present invention can basically be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory. As data, user identification information (user attribute information sometimes associated with it), external information (including SNS user related information), purchase history information, advertisement transmission history information, purchase analysis rule, purchase status information, Dialog information, user-specific dialog information selection rules, selected dialog information, response dialog information, purchase response validity determination rules, purchase response validity determination results, various setting information such as communication not shown, etc. are held in the non-volatile memory, It is loaded into the main memory, referred to, and used when executing a series of programs.
＜実施形態３５　処理の流れ＞
　実施形態３５の対話式購入促進システムの処理の流れの一例は、図６２に示す実施形態２２の構成又は図６５に示す実施形態２３の構成を基本とする。実施形態２２から実施形態２４との共通の情報処理を行うステップについての説明は省略する。本実施形態で新たに加わるステップとして、出力した対話情報に対するユーザの応答対話情報を取得する購買応答対話情報取得ステップ、購買応答有効性判断ルールを保持する購買応答有効性判断ルール保持ステップと、購買応答有効性判断ルールに基づいて出力した対話情報の有効性を判断する購買応答対話情報有効性判断ステップと、を有する。 <Embodiment 35 flow of processing>
An example of the process flow of the interactive purchase promotion system of the thirty-fifth embodiment is based on the configuration of the twenty-second embodiment shown in FIG. 62 or the configuration of the twenty-third embodiment shown in FIG. The description of the steps for performing the information processing in common with the twenty-second embodiment to the twenty-fourth embodiment will be omitted. The purchase response dialogue information acquisition step of acquiring user's response dialogue information to the outputted dialogue information as the newly added step in the embodiment, the purchase response validity judgment rule holding step of holding the purchase response validity judgment rule, and the purchase Purchase response dialogue information validity judgment step of judging the validity of the dialogue information outputted based on the response validity judgment rule.
　＜実施形態３６＞
　＜実施形態３６　発明の概要＞
　本実施形態は、対話式購入促進システムに関する発明である。実施形態２２から実施形態２４に記載の対話式購入促進システムの特徴に加えて、本実施形態の発明は、応答対話情報を基に出力した対話情報の有効性を、統計的に処理することで購買応答統計的対話情報有効性情報を取得するための、購買応答有効処理ルール保持手段及び購買応答統計的対話情報有効性情報取得手段を有することを特徴とする。 The thirty-sixth embodiment
<Embodiment 36 Outline of the Invention>
The present embodiment is an invention related to an interactive purchase promotion system. In addition to the features of the interactive purchase promotion system according to the twenty-second embodiment through the twenty-fourth embodiment, the invention of this embodiment statistically processes the validity of the dialogue information outputted based on the response dialogue information. It is characterized by comprising purchase response effective processing rule holding means and purchase response statistical dialogue information validity information acquisition means for acquiring purchase response statistical interaction information validity information.
＜実施形態３６　発明の構成＞
　実施形態３６の対話式購入促進システムの構成の一例は、、図６０に示す実施形態２２の構成又は図６３に示す実施形態２３の構成を基本とする。実施形態２２から実施形態２４のいずれか一との共通の構成の説明は省略する。本実施形態で新たに加わる構成は、購買応答有効性統計処理ルール保持手段、購買応答統計的対話情報有効性情報取得手段である。 <Embodiment 36: Configuration of the Invention>
An example of the configuration of the interactive purchase promotion system of the thirty-sixth embodiment is based on the configuration of the twenty-second embodiment shown in FIG. 60 or the configuration of the twenty-third embodiment shown in FIG. The description of the configuration common to any one of the twenty-second to twenty-fourth embodiments is omitted. The configurations newly added in the present embodiment are purchase response effectiveness statistical processing rule holding means and purchase response statistical dialogue information validity information acquisition means.
　＜実施形態３６　構成の説明＞
　＜実施形態３６　購買応答有効性統計処理ルール保持手段＞
　「購買応答有効性統計処理ルール保持手段」は、複数のユーザの対話情報の有効性を母集団に対して一部は共通のユーザ属性ごとに統計処理するルールである購買応答有効性統計処理ルールを保持する購買応答対話情報有効性判断部が有する手段である。応答対話情報を利用する点以外は詳細は実施形態２５での説明と同様である。 <Description of the configuration of the thirty-sixth embodiment>
<Embodiment 36: Purchase response effectiveness statistical processing rule holding means>
The “purchase response effectiveness statistical processing rule holding means” is a rule for performing statistical processing of the effectiveness of interaction information of a plurality of users for each common user attribute with respect to the population, and is a purchase response effectiveness statistical processing rule Is a means possessed by the purchase response dialogue information validity judgment unit which holds the The details are the same as those described in the twenty-fifth embodiment except that response dialogue information is used.
　＜実施形態３６　購買統計的対話情報有効性情報取得手段＞
　「購買統計的対話情報有効性情報取得手段」は、複数のユーザの対話情報と、保持されている購買有効性統計処理ルールとに基づいて、統計的に対話情報の有効性を少なくとも母集団に対して一部は共通のユーザ属性ごとに判断した統計的対話情報有効性情報を取得する対話情報有効性判断部が有する手段である。応答対話情報を利用する点以外は実施形態２５と同様である。 <Embodiment 36 Purchasing Statistical Dialogue Information Validity Information Acquisition Means>
"Purchasing statistical dialogue information validity information acquiring means" statistically makes the dialogue information valid at least in the population based on the dialogue information of a plurality of users and the held purchasing statistics processing rules. On the other hand, a part is a means included in the dialogue information validity judgment unit which acquires statistical dialogue information validity information judged for each common user attribute. Embodiment 25 is the same as Embodiment 25 except that response dialogue information is used.
＜実施形態３６　ハードウェア構成＞
　実施形態３６のハードウェア構成は、、図６１に示す実施形態２２の構成又は図６４に示す実施形態２３の構成を基本とする。実施形態２２から実施形態２４のいずれか一との共通の動作をするプログラムについての説明は省略する。本実施形態で新たに加わるプログラム、「購買応答統計処理ルール保持プログラム」は、購買応答統計処理ルールを保持する。「購買応答統計的対話情報有効性情報取得プログラム」は、購買応答統計処理ルールに基づき購買応答統計的対話情報有効性情報を取得する。この図にあるように本発明は、基本的に汎用コンピュータとプログラム、各種デバイスで構成することが可能である。コンピュータの動作は基本的に不揮発性メモリに記録されているプログラムやデータを主メモリにロードして、主メモリとＣＰＵと各種デバイスとで処理を実行していく形態をとる。デバイスとの通信は、バス線と繋がったインターフェイスを介して行われる。プログラムのより詳細な動作は各構成の説明で記載される動作を実現するものであり詳細はそちらを参照のこと。これら不揮発性メモリからメインメモリにコピーされた一連のプログラムの実行命令に基づいてこれらのプログラムが順次又は常時実行される。なお、データとしては、ユーザ識別情報（場合によりこれに関連付けられるユーザ属性情報）、外部情報（ＳＮＳユーザ関連情報を含む）、購買履歴情報、購買効果情報、購買分析ルール、購入状況情報、対話情報、ユーザ別対話情報選択ルール、選択した対話情報、応答対話情報、購買応答有効性判断ルール、購買応答有効性判断結果、購買応答統計処理ルール、購買応答統計的対話情報有効性情報、図示しない通信など各種の設定情報等が不揮発性メモリに保持され、主メモリにロードされ、一連のプログラム実行に際して参照され、利用される。 Embodiment 36 Hardware Configuration
The hardware configuration of the thirty-sixth embodiment is based on the configuration of the twenty-second embodiment shown in FIG. 61 or the configuration of the twenty-third embodiment shown in FIG. The description of the program which performs the common operation with any one of the twenty-second embodiment to the twenty-fourth embodiment will be omitted. The program newly added in the present embodiment, the “purchase response statistical processing rule holding program” holds the purchase response statistical processing rule. The “purchase response statistical interaction information validity information acquisition program” acquires purchase response statistical interaction information validity information based on the purchase response statistical processing rules. As shown in this figure, the present invention can basically be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory. As data, user identification information (user attribute information sometimes associated with it), external information (including SNS user related information), purchase history information, purchase effect information, purchase analysis rule, purchase status information, dialogue information , User-specific dialogue information selection rule, selected dialogue information, response dialogue information, purchase response validity judgment rule, purchase response validity judgment result, purchase response statistical processing rule, purchase response statistical dialogue information validity information, communication not shown Etc. are stored in the non-volatile memory, loaded into the main memory, and referenced and used in executing a series of programs.
＜実施形態３６　処理の流れ＞
　実施形態３６の対話式購入促進システムの処理の流れの一例は、図６２に示す実施形態２２の構成又は図６５に示す実施形態２３の構成を基本とする。実施形態１２から実施形態１６との共通の情報処理を行うステップについての説明は省略する。本実施形態で新たに加わるステップとして、購買応答有効性統計処理ルールを保持する購買応答有効性統計処理ルール保持サブステップと、購買応答有効性統計処理ルールに基づいて購買応答統計的対話情報有効性情報を取得する購買応答統計的対話情報有効性情報取得サブステップと、を有する。 The flow of the thirty-sixth embodiment of the processing
An example of the process flow of the interactive purchase promotion system of the thirty-sixth embodiment is based on the configuration of the twenty-second embodiment shown in FIG. 62 or the configuration of the twenty-third embodiment shown in FIG. The description of the steps for performing the common information processing in the twelfth to sixteenth embodiments is omitted. As a step newly added in the present embodiment, a purchase response effectiveness statistical processing rule holding sub step which holds purchase response effectiveness statistical processing rules, and purchase response statistical interaction information effectiveness based on the purchase response effective statistical processing rules Purchase response statistical dialogue information validity information acquisition substep for acquiring information.
＜実施形態３７＞
＜実施形態３７　発明の概要＞
　実施形態３７は対話式購入促進システムに関する発明である。実施形態３５又は実施形態３６の特徴に加え、購買応答対話情報有効性判断結果に基づいてユーザ別対話情報選択ルールを変更することを特徴とする発明である。 The thirty-seventh embodiment
<Embodiment 37 Outline of the Invention>
Embodiment 37 is an invention related to an interactive purchase promotion system. In addition to the features of the thirty-fifth embodiment or the thirty-sixth embodiment, the invention is characterized in that the user-specific dialogue information selection rule is changed based on the purchase response dialogue information validity judgment result.
＜実施形態３７　発明の構成＞
　実施形態３７の対話式促進システムの構成は、実施形態３５又は実施形態３６を基本の構成として、さらに購買応答ユーザ別対話情報選択ルール更新部を加えたものである。実施形態３５又は実施形態３６との共通の構成の説明は省略する。 <Embodiment 37: Configuration of the Invention>
The configuration of the interactive promotion system of the thirty-seventh embodiment is based on the thirty-fifth embodiment or the thirty-sixth embodiment, and further includes a purchase response user classified dialogue information selection rule updating unit. The description of the common structure with Embodiment 35 or Embodiment 36 is omitted.
＜実施形態３７　構成の説明＞
本実施形態で特徴的な構成は、購買応答ユーザ別対話情報選択ルール更新部である。この部は、実施形態３５を基本とする場合にはユーザ別の応答対話情報の有効性を用いて購買応答ユーザ別対話情報選択ルールを更新する。実施形態３６を基本とする場合には購買応答統計的対話情報有効性情報に基づいて購買対応ユーザ別対情報選択ルールを更新する。応答対話情報を利用する点以外は実施形態２６と基本的な処理は同様である。 <Description of the configuration of the thirty-seventh embodiment>
The characteristic configuration in the present embodiment is the purchase response user-based dialogue information selection rule updating unit. In the case of the thirty-fifth embodiment, this part updates the purchase response user-by-user interaction information selection rule using the validity of the response interaction information by user. In the case where the embodiment 36 is based, the purchase corresponding user-by-user pair information selection rule is updated based on the purchase response statistical interaction information validity information. The basic process is the same as that of the twenty-sixth embodiment except that the response dialogue information is used.
＜実施形態３７　ハードウェア構成＞
　実施形態３７のハードウェア構成は、実施形態３５又は実施形態３６を基本の構成とする。実施形態３５又は実施形態３６との共通の動作をするプログラムについての説明は省略する。本実施形態で新たに加わるプログラム、「購買応答ユーザ別対話情報選択ルール更新プログラム」は、有効性情報に基づいてユーザ別対話情報選択ルールを更新する。本発明は、基本的に汎用コンピュータとプログラム、各種デバイスで構成することが可能である。コンピュータの動作は基本的に不揮発性メモリに記録されているプログラムやデータを主メモリにロードして、主メモリとＣＰＵと各種デバイスとで処理を実行していく形態をとる。デバイスとの通信は、バス線と繋がったインターフェイスを介して行われる。プログラムのより詳細な動作は各構成の説明で記載される動作を実現するものであり詳細はそちらを参照のこと。これら不揮発性メモリからメインメモリにコピーされた一連のプログラムの実行命令に基づいてこれらのプログラムが順次又は常時実行される。なお、データとしては、ユーザ識別情報（場合によりこれに関連付けられるユーザ属性情報）、外部情報（ＳＮＳユーザ関連情報を含む）、購買履歴情報、購買効果情報、購買分析ルール、購入状況情報、対話情報、ユーザ別対話情報選択ルール、選択した対話情報、応答対話情報、購買応答有効性判断ルール、購買応答有効性判断結果、更新ユーザ別対話情報選択ルール、図示しない通信など各種の設定情報等が不揮発性メモリに保持され、主メモリにロードされ、一連のプログラム実行に際して参照され、利用される。 Embodiment 37 Hardware Configuration
The hardware configuration of Embodiment 37 is based on Embodiment 35 or Embodiment 36. The description of the program that performs the same operation as in the thirty-fifth embodiment or the thirty-sixth embodiment will be omitted. The program newly added in the present embodiment, “purchase response user by dialog user information update rule” updates the user dialog information selection rule based on the validity information. The present invention can basically be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory. As data, user identification information (user attribute information sometimes associated with it), external information (including SNS user related information), purchase history information, purchase effect information, purchase analysis rule, purchase status information, dialogue information User-specific dialog information selection rules, selected dialog information, response dialog information, purchase response validity determination rules, purchase response validity determination results, update user-specific dialog information selection rules, various settings information such as communication not shown, etc. are non-volatile It is held in the memory, loaded into the main memory, and referred to and used when executing a series of programs.
＜実施形態３７　処理の流れ＞
　実施形態３７の対話式購入促進システムの処理の流れの一例は実施形態３５又は実施形態３６の処理の流れを基本とする。実施形態３５又は実施形態３６との共通の情報処理を行うステップについての説明は省略する。本実施形態で新たに加わるステップとして、有効性判断結果からユーザ別対話情報を更新する購買応答ユーザ別対話情報選択ルール更新ステップ、を有する。
＜実施形態３８＞
＜実施形態３８　発明の概要＞
　実施形態３８は、対話式購入促進システムに関する発明である。実施形態３６又は実施形態３６を基本とした実施形態３７の特徴に加えて、購買応答統計的対話情報有効性判断情報に基づいてユーザ別対話情報選択ルールを更新する購買応答統計的ユーザ別対話情報選択ルール更新部を有することを特徴とする。 <The flow of the thirty-seventh embodiment>
An example of the process flow of the interactive purchase promotion system of the embodiment 37 is based on the process flow of the embodiment 35 or the embodiment 36. The description of the steps for performing information processing in common with Embodiment 35 or Embodiment 36 will be omitted. The purchase response user classified dialogue information selection rule updating step of updating the user classified dialogue information from the validity judgment result is included as a newly added step in the present embodiment.
Embodiment 38
<Embodiment 38> Outline of the Invention
Embodiment 38 is an invention related to an interactive purchase promotion system. In addition to the features of the embodiment 36 based on the embodiment 36 or the embodiment 36, the purchase response statistical user-specific interaction information updating the user-specific interaction information selection rule based on the purchase response statistical interaction information validity judgment information A selection rule updating unit is provided.
＜実施形態３８　発明の構成＞
　実施形態３８の対話式購入促進システムの構成の一例は、実施形態３６又は実施形態３６を基本とした実施形態３７を基本とする。実施形態３６又は実施形態３６を基本とした実施形態３７のいずれか一との共通の構成の説明は省略する。本実施形態で新たに加わる構成は、購買応答統計的ユーザ別対話情報選択ルール更新部である。 <Embodiment 38: Configuration of the Invention>
An exemplary configuration of the interactive purchase promotion system according to the thirty-eighth embodiment is based on the thirty-sixth embodiment or the thirty-seventh embodiment based on the thirty-sixth embodiment. The description of the configuration common to any one of Embodiment 36 or Embodiment 37 based on Embodiment 36 will be omitted. The configuration newly added in the present embodiment is a purchase response statistical user-specific dialogue information selection rule updating unit.
＜実施形態３８　購買応答統計的ユーザ別対話情報選択ルール更新部＞
　「購買応答統計的ユーザ別対話情報選択ルール更新部」は、実施形態３６の購買応答統計的対話情報有効性情報取得手段によって取得された購買応答統計的対話情報有効性情報に基づいてユーザ別対話情報選択ルールを更新する。応答対話情報を利用する点以外は、実施形態３７と同様である。 <The embodiment 38 purchase response statistical user-specific dialogue information selection rule updating unit>
The “purchasing response statistical user-specific dialogue information selection rule updating unit” is an interaction by user based on the purchasing response statistical dialogue information validity information acquired by the purchasing response statistical dialogue information validity information acquiring unit of the thirty-sixth embodiment Update information selection rules. Embodiment 37 is the same as Embodiment 37 except that response dialogue information is used.
＜実施形態３８　ハードウェア構成＞
　実施形態３８のハードウェア構成は、実施形態３６又は実施形態３６を基本とする実施形態３７のハードウェア構成を基本とする。実施形態３６又は実施形態３６を基本する実施形態３７との共通の動作をするプログラムについての説明は省略する。本実施形態で新たに加わるプログラム、「購買応答統計的ユーザ別対話情報選択ルール更新プログラム」は、購買応答統計的対話情報有効性情報に基づいてユーザ別対話情報選択ルールを更新する。本発明は、基本的に汎用コンピュータとプログラム、各種デバイスで構成することが可能である。コンピュータの動作は基本的に不揮発性メモリに記録されているプログラムやデータを主メモリにロードして、主メモリとＣＰＵと各種デバイスとで処理を実行していく形態をとる。デバイスとの通信は、バス線と繋がったインターフェイスを介して行われる。プログラムのより詳細な動作は各構成の説明で記載される動作を実現するものであり詳細はそちらを参照のこと。これら不揮発性メモリからメインメモリにコピーされた一連のプログラムの実行命令に基づいてこれらのプログラムが順次又は常時実行される。なお、データとしては、ユーザ識別情報（場合によりこれに関連付けられるユーザ属性情報）、外部情報（ＳＮＳユーザ関連情報を含む）、購買履歴情報、購買効果情報、購買分析ルール、購入状況情報、対話情報、ユーザ別対話情報選択ルール、選択した対話情報、応答対話情報、購買応答有効性判断ルール、購買応答有効性判断結果、購買応答統計処理ルール、購買応答統計的対話情報有効性情報、更新ユーザ別対話情報選択ルール、図示しない通信など各種の設定情報等が不揮発性メモリに保持され、主メモリにロードされ、一連のプログラム実行に際して参照され、利用される。 Embodiment 38 Hardware Configuration
The hardware configuration of the thirty-eighth embodiment is based on the hardware configuration of the thirty-sixth embodiment or the thirty-seventh embodiment. The description of a program which performs the same operation as in the thirty-sixth embodiment based on the thirty-sixth embodiment or the thirty-sixth embodiment will be omitted. The program newly added in the present embodiment, “purchase response statistical user-specific dialogue information selection rule update program” updates the user-specific dialogue information selection rule based on the purchase response statistical dialogue information validity information. The present invention can basically be configured by a general-purpose computer, a program, and various devices. The operation of the computer basically takes the form of loading a program or data stored in the non-volatile memory into the main memory and executing processing with the main memory, the CPU and various devices. Communication with the device is performed through an interface connected to the bus line. The more detailed operation of the program realizes the operation described in the explanation of each configuration, and the details are referred to there. These programs are sequentially or always executed based on an execution instruction of a series of programs copied from the non-volatile memory to the main memory. As data, user identification information (user attribute information sometimes associated with it), external information (including SNS user related information), purchase history information, purchase effect information, purchase analysis rule, purchase status information, dialogue information , User-specific dialogue information selection rule, selected dialogue information, response dialogue information, purchase response validity judgment rule, purchase response validity judgment result, purchase response statistical processing rule, purchase response statistical dialogue information validity information, update user classified A dialogue information selection rule, various setting information such as communication not shown, and the like are held in the non-volatile memory, loaded into the main memory, and referenced and used in executing a series of programs.
＜実施形態３８　処理の流れ＞
　実施形態３８の対話式購入促進システムの処理の流れの一例は、実施形態３６又は実施形態３６を基本とする実施形態３７の処理の流れを基本とする。実施形態３６又は実施形態３６を基本する実施形態３７との共通の情報処理を行うステップについての説明は省略する。本実施形態で新たに加わるステップとして、購買応答統計的対話情報有効性情報に基づいてユーザ別対話情報選択ルールを更新する購買応答統計的ユーザ別対話情報選択ルール更新ステップを有する。 <The flow of the thirty-eighth embodiment>
An example of the process flow of the interactive purchase promotion system of the embodiment 38 is based on the process flow of the embodiment 36 or the embodiment 37 based on the embodiment 36. The description of the steps for performing the information processing in common with the thirty-sixth embodiment based on the thirty-sixth embodiment or the thirty-sixth embodiment will be omitted. As a newly added step in this embodiment, there is provided a purchase response statistical user-by-user dialog information selection rule updating step of updating the user-by-user dialog information selection rule based on the purchase response statistical dialog information validity information.
＜実施形態３９＞
＜実施形態３９　発明の概要＞
　特定商品の購買履歴を有するユーザに代えて、特定商品の宣伝広告発信履歴を有するユーザを対象として対話式で特定商品の購入促進を図ろうとするシステムである。基本的には実施形態３５から実施形態３８と同様である。 Embodiment 39
<Embodiment 39> Outline of the Invention>
This system is intended to interactively promote purchase of a specific product for a user who has an advertisement transmission history of a specific product instead of a user having a purchase history of a specific product. Basically, it is the same as in Embodiments 35 to 38.
＜実施形態３９　発明の構成＞
　実施形態３５から実施形態３８に示した発明と基本的に同様であり、説明は省略する。 Embodiment 39 Configuration of the Invention
The configuration is basically the same as the invention described in the thirty-fifth through thirty-eighth embodiments, and the description will be omitted.
　対話式のコミュニケーションによってユーザの行動の方向性を示唆することが可能であり、個人活動に依存する人間の活動の全てにおいて有効な働きを示すことができる。例えば、健康管理アプリ、学習促進アプリ、販売促進システム、介護ロボット、見守りシステム、就業管理、厚生施設における構成プログラム、運転技能促進プログラム、飛行機や新幹線といった長距離移動手段の利用者の精神安定プログラム、災害時の被災者のメンタルケアシステム、インターネットを通じたコミュニケーション環境の管理、等に利用することが考えられる。 Interactive communication can indicate the directionality of the user's action, and can indicate effective actions in all human activities that depend on personal activities. For example, a health management application, a learning promotion application, a sales promotion system, a care robot, a watching system, employment management, a configuration program in a welfare facility, a driving skill promotion program, a mental stability program for users of long distance transportation means such as airplane and It is possible to use for mental care system of the disaster victim at the time of disaster, management of the communication environment through the Internet, etc.
　　０２０１　対話式健康促進システム
　　０２０２　ユーザ
　　０２０３　ＳＮＳユーザ関連情報
　　０２０７　対話情報
　　３５０１　対話式学習促進システム
　　３５０２　ユーザ
　　３５０３　ＳＮＳユーザ関連情報
　　３５０５　学習システム
　　３５０８　対話情報
　　５９０１　対話式購入促進システム
　　５９０２　ユーザ
　　５９０３　ＳＮＳユーザ関連情報
　　５９０７　対話情報 0201 Interactive health promotion system 0202 User 0203 SNS user related information 0207 Dialogue information 3501 Interactive learning promotion system 3502 User 3503 SNS user related information 3505 Learning system 3508 Dialogue information 5901 Interactive purchase promotion system 5902 User 5903 SNS user related information 5907 Dialogue information

Claims (39)

  1. 　ＳＮＳを利用するユーザを識別するユーザ識別情報を保持するユーザ識別情報保持部と、
    　ユーザ識別情報と関連付けてユーザが利用するＳＮＳのユーザの発言を含むユーザ関連情報であるＳＮＳユーザ関連情報を外部情報として取得するＳＮＳユーザ関連情報取得部と、
    　ユーザ識別情報と関連付けて外部情報を健康状況の把握の観点で分析して健康状況情報を取得するためのルールである分析ルールを保持する分析ルール保持部と、
    　ユーザ識別情報に関連付けられている取得した外部情報と同じユーザ識別情報に関連付けられている分析ルールとに基づいて健康状況情報を取得する健康状況情報分析取得部と、
    　ユーザ識別情報に関連づけて取得した健康状況情報に応じて発信すべき対話情報を蓄積した対話情報蓄積部と、
    　取得した健康状況情報に基づいて蓄積されている対話情報を選択するユーザ識別情報に関連付けられたルールであるユーザ別対話情報選択ルールを保持するユーザ別対話情報選択ルール保持部と、
    　取得した健康状況情報と保持されているユーザ別対話情報選択ルールと、に基づいてそのユーザごとの特性に即した対話形式の対話情報を対話情報蓄積部から選択する対話情報選択部と、
    　選択した対話情報をユーザ識別情報で識別されるユーザに対して前記ＳＮＳを介して出力するための対話情報出力部と、
    　を有する対話式健康促進システム。     A user identification information holding unit that holds user identification information that identifies a user who uses SNS;
    An SNS user related information acquisition unit that acquires, as external information, SNS user related information that is user related information that includes the speech of the user of the SNS that is used by the user in association with the user identification information;
    An analysis rule holding unit that holds an analysis rule that is a rule for acquiring external health information by analyzing external information in relation to user identification information and grasping the health status;
    A health condition information analysis acquisition unit that acquires health condition information based on acquired external information associated with user identification information and an analysis rule associated with the same user identification information;
    A dialogue information storage unit storing dialogue information to be transmitted according to the health condition information acquired in association with the user identification information;
    User-by-user dialog information selection rule holding unit that holds user-by-user dialog information selection rules that are rules associated with user identification information for selecting the dialog information accumulated based on the acquired health condition information;
    A dialog information selection unit for selecting from the dialog information storage unit dialog information in a dialog format adapted to the characteristics of each user based on the acquired health condition information and the user-specific dialog information selection rule held;
    A dialogue information output unit for outputting the selected dialogue information to the user identified by the user identification information via the SNS;
    Interactive health promotion system.
  2. ユーザ識別情報と関連付けてユーザが検索したブラウザの検索履歴情報であるブラウザ検索履歴ユーザ関連情報を外部情報として取得するブラウザ検索履歴ユーザ関連情報取得部をさらに有する請求項１に記載の対話式健康促進システム。 The interactive health promotion according to claim 1, further comprising a browser search history user related information acquisition unit for acquiring, as external information, browser search history user related information which is search history information of a browser searched by a user in association with user identification information. system.
  3. ユーザ識別情報と関連付けてニュース情報を外部情報として取得するニュースユーザ関連情報取得部をさらに有する請求項１又は請求項２に記載の対話式健康促進システム。 The interactive health promotion system according to claim 1 or 2, further comprising a news user related information acquisition unit that acquires news information as external information in association with user identification information.
  4. ユーザ識別情報と関連付けてユーザの端末に記録されているライフログであるライフログユーザ関連情報を外部情報として取得するライフログユーザ関連情報取得部をさらに有する請求項１から請求項３のいずれか一に記載の対話式健康促進システム。 The life log user related information acquisition part which acquires life log user related information which is a life log recorded on a user's terminal in association with user identification information as external information is further provided. The interactive health promotion system described in.
  5. 　出力された対話情報に対する応答対話情報を取得する応答対話情報取得部をさらに有する請求項１から請求項４のいずれか一に記載の対話式健康促進システム。 The interactive health promotion system according to any one of claims 1 to 4, further comprising a response dialogue information acquisition unit that acquires response dialogue information to the outputted dialogue information.
  6. 　出力された対話情報に対して取得された応答対話情報が有効であったか判断するルールである有効性判断ルールを保持する有効性判断ルール保持部と、
    　出力された対話情報とこの対話情報に対して取得された応答対話情報と、有効性判断ルールとに基づいて対話情報の有効性を判断する対話情報有効性判断部と、
    　をさらに有する請求項５に記載の対話式健康促進システム。     A validity judgment rule holding unit which holds a validity judgment rule which is a rule for judging whether the response dialogue information acquired with respect to the outputted dialogue information is valid;
    A dialogue information validity judgment unit which judges the validity of the dialogue information based on the outputted dialogue information, the response dialogue information acquired for the dialogue information, and the validity judgment rule;
    The interactive health promotion system according to claim 5, further comprising
  7. 前記対話情報有効性判断部は、複数のユーザの対話情報の有効性を母集団に対して一部は共通のユーザ属性ごとに統計処理するルールである有効性統計処理ルールを保持する有効性統計処理ルール保持手段と、
    複数のユーザの対話情報と、保持されている有効性統計処理ルールとに基づいて、統計的に対話情報の有効性を少なくとも母集団に対して一部は共通のユーザ属性ごとに判断した統計的対話情報有効性情報を取得する統計的対話情報有効性情報取得手段と、
    を有する請求項６に記載の対話式健康促進システム。     The said dialog information effectiveness judgment part holds the effectiveness statistics processing rule which is a rule which carries out statistical processing of the effectiveness of the dialogue information of a plurality of users to the population for each common user attribute with respect to the population Processing rule holding means,
    Based on the interaction information of a plurality of users and the held effectiveness statistical processing rules, the effectiveness of the interaction information is determined statistically at least for the population, and a statistical determination is made for each common user attribute. Statistical dialogue information validity information acquiring means for acquiring dialogue information validity information;
    The interactive health promotion system according to claim 6, comprising
  8. 　有効性判断結果に基づいてユーザ別対話情報選択ルール保持部に保持されているユーザ別対話情報選択ルールを更新するユーザ別対話情報選択ルール更新部をさらに有する請求項６又は請求項７に記載の対話式健康促進システム。 The user-by-user dialog information selection rule updating unit for updating the user-by-user dialog information selection rule held in the user-by-user dialog information selection rule holding unit on the basis of the validity judgment result according to claim 6 or 7 Interactive health promotion system.
  9. 　取得した統計的対話情報有効性情報に基づいてユーザ別対話情報選択ルール保持部に保持されているユーザ別対話情報選択ルールを更新する統計的ユーザ別対話情報選択ルール更新部をさらに有する請求項７又は請求項７に従属する請求項８に記載の対話式健康促進システム。 The user-specific dialog information selection rule updating unit updating the user-specific dialog information selection rule held in the user-specific dialog information selection rule holding unit based on the acquired statistical dialog information validity information Or the interactive health promotion system according to claim 8 subordinate to claim 7.
  10. ＳＮＳを利用するユーザを識別するユーザ識別情報を保持するユーザ識別情報保持部と、
    　ユーザ識別情報と関連付けて外部情報を健康状況の把握の観点で分析して健康状況情報を取得するためのルールである分析ルールを保持する分析ルール保持部と、
    ユーザ識別情報に関連づけて取得した健康状況情報に応じて発信すべき対話情報を蓄積した対話情報蓄積部と、
    　取得した健康状況情報に基づいて蓄積されている対話情報を選択するユーザ識別情報に関連付けられたルールであるユーザ別対話情報選択ルールを保持するユーザ別対話情報選択ルール保持部と、
    を有する対話式健康促進システムの動作方法であって、
    　ユーザ識別情報と関連付けてユーザが利用するＳＮＳのユーザの発言を含むユーザ関連情報であるＳＮＳユーザ関連情報を外部情報として取得するＳＮＳユーザ関連情報取得ステップと、
    　ユーザ識別情報に関連付けられている取得した外部情報と同じユーザ識別情報に関連付けられている分析ルールとに基づいて健康状況情報を取得する健康状況情報分析取得ステップと、
    　取得した健康状況情報と保持されているユーザ別対話情報選択ルールと、に基づいてそのユーザごとの特性に即した対話形式の対話情報を対話情報蓄積部から選択する対話情報選択ステップと、
    　選択した対話情報をユーザ識別情報で識別されるユーザに対して前記ＳＮＳを介して出力するための対話情報出力ステップと、
    　からなる対話式健康促進システムの動作方法。     A user identification information holding unit that holds user identification information that identifies a user who uses SNS;
    An analysis rule holding unit that holds an analysis rule that is a rule for acquiring external health information by analyzing external information in relation to user identification information and grasping the health status;
    A dialogue information storage unit storing dialogue information to be transmitted according to the health condition information acquired in association with the user identification information;
    User-by-user dialog information selection rule holding unit that holds user-by-user dialog information selection rules that are rules associated with user identification information for selecting the dialog information accumulated based on the acquired health condition information;
    A method of operating an interactive health promotion system comprising:
    An SNS user related information acquiring step of acquiring, as external information, SNS user related information which is user related information including the speech of the user of the SNS used by the user in association with the user identification information;
    A health condition information analysis acquisition step of acquiring health condition information based on the acquired external information associated with the user identification information and the analysis rule associated with the same user identification information;
    A dialog information selecting step of selecting from the dialog information storage unit dialog information in a dialog format adapted to the characteristics of each user based on the acquired health condition information and the user-specific dialog information selection rule held;
    A dialogue information output step for outputting the selected dialogue information to the user identified by the user identification information via the SNS;
    Method of an interactive health promotion system consisting of
  11. ＳＮＳを利用するユーザを識別するユーザ識別情報を保持するユーザ識別情報保持部と、
    　ユーザ識別情報と関連付けて外部情報を健康状況の把握の観点で分析して健康状況情報を取得するためのルールである分析ルールを保持する分析ルール保持部と、
    ユーザ識別情報に関連づけて取得した健康状況情報に応じて発信すべき対話情報を蓄積した対話情報蓄積部と、
    　取得した健康状況情報に基づいて蓄積されている対話情報を選択するユーザ識別情報に関連付けられたルールであるユーザ別対話情報選択ルールを保持するユーザ別対話情報選択ルール保持部と、
    を有する対話式健康促進システムの動作方法プログラムであって、
    　ユーザ識別情報と関連付けてユーザが利用するＳＮＳのユーザの発言を含むユーザ関連情報であるＳＮＳユーザ関連情報を外部情報として取得するＳＮＳユーザ関連情報取得ステップと、
    　ユーザ識別情報に関連付けられている取得した外部情報と同じユーザ識別情報に関連付けられている分析ルールとに基づいて健康状況情報を取得する健康状況情報分析取得ステップと、
    　取得した健康状況情報と保持されているユーザ別対話情報選択ルールと、に基づいて対話情報を対話情報蓄積部から選択し、そのユーザごとの特性に即した対話形式の対話情報に変換する対話情報選択ステップと、
    　選択した対話情報をユーザ識別情報で識別されるユーザに対して前記ＳＮＳを介して出力するための対話情報出力ステップと、
    　からなる対話式健康促進システムの動作プログラム。     A user identification information holding unit that holds user identification information that identifies a user who uses SNS;
    An analysis rule holding unit that holds an analysis rule that is a rule for acquiring external health information by analyzing external information in relation to user identification information and grasping the health status;
    A dialogue information storage unit storing dialogue information to be transmitted according to the health condition information acquired in association with the user identification information;
    User-by-user dialog information selection rule holding unit that holds user-by-user dialog information selection rules that are rules associated with user identification information for selecting the dialog information accumulated based on the acquired health condition information;
    An interactive method for operating an interactive health promotion system having
    An SNS user related information acquiring step of acquiring, as external information, SNS user related information which is user related information including the speech of the user of the SNS used by the user in association with the user identification information;
    A health condition information analysis acquisition step of acquiring health condition information based on the acquired external information associated with the user identification information and the analysis rule associated with the same user identification information;
    Dialogue information selected from the dialogue information storage unit based on the acquired health status information and the held dialogue information selection rules for each user, and the dialogue information converted into dialogue-type dialogue information conforming to the characteristics of each user Selection step,
    A dialogue information output step for outputting the selected dialogue information to the user identified by the user identification information via the SNS;
    Interactive health promotion system operating program.
  12. 　ＳＮＳ及び学習システムを利用するユーザを識別するユーザ識別情報を保持する第一学習ユーザ識別情報保持部と、
    　ユーザ識別情報と関連付けてユーザが利用するＳＮＳのユーザの発言を含むユーザ関連情報であるＳＮＳユーザ関連情報を外部情報として取得する第一学習ＳＮＳユーザ関連情報取得部と、
    　ユーザ識別情報と関連付けてユーザが利用する学習システムからその学習システムで行われた学習の履歴を示す情報である学習履歴情報を取得する第一学習履歴情報取得部と、　
    　ユーザ識別情報と関連付けてユーザが利用する学習システムからその学習システムで行われた学習の効果を示す情報である学習効果情報を取得する第一学習効果情報取得部と、
    　ユーザ識別情報と関連付けて外部情報と、学習履歴情報と、学習効果情報と、を学習状況の把握の観点で分析して学習状況情報を取得するためのルールである学習分析ルールを保持する第一学習分析ルール保持部と、
    　ユーザ識別情報に関連付けられている取得した外部情報と、学習履歴情報と、学習効果情報と、同じユーザ識別情報に関連付けられている分析ルールとに基づいて学習状況情報を取得する第一学習状況情報分析取得部と、
    　ユーザ識別情報に関連づけて取得した学習状況情報に応じて発信すべき対話情報を蓄積した第一学習対話情報蓄積部と、
    　取得した学習状況情報に基づいて蓄積されている対話情報を選択するユーザ識別情報に関連付けられたルールであるユーザ別対話情報選択ルールを保持する第一学習ユーザ別対話情報選択ルール保持部と、
    　取得した学習状況情報と保持されているユーザ別対話情報選択ルールと、に基づいてそのユーザごとの特性に即した対話形式の対話情報を第一学習対話情報蓄積部から選択する第一学習対話情報選択部と、
    　選択した対話情報をユーザ識別情報で識別されるユーザに対して前記ＳＮＳを介して出力するための第一学習対話情報出力部と、
    　を有する対話式学習促進システム。     A first learning user identification information holding unit that holds user identification information that identifies a user using the SNS and the learning system;
    A first learning SNS user related information acquisition unit that acquires, as external information, SNS user related information that is user related information including an utterance of the user of the SNS associated with the user identification information and used by the user;
    A first learning history information acquisition unit for acquiring learning history information, which is information indicating a history of learning performed in a learning system used by a user in association with user identification information;
    A first learning effect information acquisition unit that acquires learning effect information that is information indicating an effect of learning performed in a learning system that is used by a user in association with user identification information;
    A learning analysis rule which is a rule for acquiring learning situation information by analyzing external information, learning history information, and learning effect information in association with user identification information from the viewpoint of grasping the learning situation Learning analysis rule holding unit,
    First learning status information that acquires learning status information based on acquired external information associated with user identification information, learning history information, learning effect information, and analysis rules associated with the same user identification information Analysis acquisition department,
    A first learning dialogue information storage unit storing dialogue information to be transmitted according to learning status information acquired in association with user identification information;
    A first learning user by dialog information selection rule holding unit for holding user's dialog information selection rules which are rules associated with user identification information for selecting the dialogue information accumulated based on the acquired learning situation information;
    First learning dialogue information for selecting from the first learning dialogue information storage unit the dialogue type dialogue information according to the characteristics of each user based on the acquired learning situation information and the held user dialogue information selection rule A selection unit,
    A first learning dialogue information output unit for outputting the selected dialogue information to the user identified by the user identification information via the SNS;
    Interactive learning promotion system.
  13. ＳＮＳ及び学習システムを利用するユーザを識別するユーザ識別情報を保持する第二学習ユーザ識別情報保持部と、
    　ユーザ識別情報と関連付けてユーザが利用するＳＮＳのユーザの発言を含むユーザ関連情報であるＳＮＳユーザ関連情報を外部情報として取得する第二学習ＳＮＳユーザ関連情報取得部と、
    　ユーザ識別情報と関連付けてユーザが利用する学習システムからその学習システムで行われた学習の履歴を示す情報である学習履歴情報を取得する第二学習履歴情報取得部と、
    　ユーザ識別情報と関連付けてユーザが利用する学習システムからその学習システムで行われた学習の効果を示す情報である学習効果情報を取得する第二学習効果情報取得部と、
    　ユーザ識別情報と関連付けてユーザが利用する学習システムからその学習システムで行われるカリキュラム情報を取得する第二学習カリキュラム情報取得部と、
    　ユーザ識別情報と関連付けて外部情報と、学習履歴情報と、学習効果情報と、カリキュラム情報と、を学習状況の把握の観点で分析して学習状況情報を取得するためのルールである学習分析ルールを保持する第二学習分析ルール保持部と、
    　ユーザ識別情報に関連付けられている取得した外部情報と、学習履歴情報と、学習効果情報と、カリキュラム情報と、同じユーザ識別情報に関連付けられている分析ルールとに基づいて学習状況情報を取得する第二学習状況情報分析取得部と、
    　ユーザ識別情報に関連づけて取得した学習状況情報に応じて発信すべき対話情報を蓄積した第二学習対話情報蓄積部と、
    　取得した学習状況情報に基づいて蓄積されている対話情報を選択するユーザ識別情報に関連付けられたルールであるユーザ別対話情報選択ルールを保持する第二学習ユーザ別対話情報選択ルール保持部と、
    　取得した学習状況情報と保持されているユーザ別対話情報選択ルールと、に基づいてそのユーザごとの特性に即した対話形式の対話情報を第二学習対話情報蓄積部から選択する第二学習対話情報選択部と、
    　選択した対話情報をユーザ識別情報で識別されるユーザに対して前記ＳＮＳを介して出力するための第二学習対話情報出力部と、
    　を有する対話式学習促進システム。     A second learning user identification information holding unit that holds user identification information that identifies a user using the SNS and the learning system;
    A second learning SNS user related information acquisition unit that acquires, as external information, SNS user related information that is user related information including an utterance of the user of the SNS associated with the user identification information and used by the user;
    A second learning history information acquisition unit for acquiring learning history information which is information indicating a history of learning performed in a learning system used by a user in association with user identification information;
    A second learning effect information acquisition unit that acquires learning effect information that is information indicating an effect of learning performed in a learning system that is used by a user in association with user identification information;
    A second learning curriculum information acquisition unit for acquiring curriculum information performed in the learning system from a learning system used by the user in association with user identification information;
    A learning analysis rule, which is a rule for acquiring learning status information by analyzing external information, learning history information, learning effect information, and curriculum information in association with user identification information from the viewpoint of grasping the learning status. A second learning analysis rule holding unit to hold;
    The learning situation information is acquired based on the acquired external information associated with the user identification information, the learning history information, the learning effect information, the curriculum information, and the analysis rule associated with the same user identification information 2 learning situation information analysis acquisition unit,
    A second learning dialog information storage unit storing dialog information to be transmitted according to the learning status information acquired in association with the user identification information;
    A second learning user-by-learning user dialogue information selection rule holding unit which holds a user-by-user dialogue information selection rule which is a rule associated with user identification information for selecting the dialogue information accumulated based on the acquired learning situation information;
    Second learning dialogue information for selecting from the second learning dialogue information storage unit dialogue type dialogue information conforming to the characteristics of each user based on the acquired learning situation information and the held user dialogue information selection rule A selection unit,
    A second learning dialogue information output unit for outputting the selected dialogue information to the user identified by the user identification information via the SNS;
    Interactive learning promotion system.
  14. ＳＮＳ及び学習システムを利用するユーザを識別するユーザ識別情報を保持する第三学習ユーザ識別情報保持部と、
    　ユーザ識別情報と関連付けてユーザが利用するＳＮＳのユーザの発言、学習システム関係者の発言（コンピュータによって生成された発言を含む）を含むユーザ関連情報であるＳＮＳユーザ関連情報を外部情報として取得する第三学習ＳＮＳユーザ関連情報取得部と、
    　ユーザ識別情報と関連付けてユーザが利用する学習システムからその学習システムで行われた学習の履歴を示す情報である学習履歴情報を取得する第三学習履歴情報取得部と、
    　ユーザ識別情報と関連付けてユーザが利用する学習システムからその学習システムで行われた学習の効果を示す情報である学習効果情報を取得する第三学習効果情報取得部と、
    　ユーザ識別情報と関連付けて外部情報と、学習履歴情報と、学習効果情報と、を学習状況の把握の観点で分析して学習状況情報を取得するためのルールである学習分析ルールを保持する第三学習分析ルール保持部と、
    　ユーザ識別情報に関連付けられている取得した外部情報と、学習履歴情報と、学習効果情報と、同じユーザ識別情報に関連付けられている分析ルールとに基づいて学習状況情報を取得する第三学習学習状況情報分析取得部と、
    　ユーザ識別情報に関連づけて取得した学習状況情報に応じて発信すべき対話情報を蓄積した第三学習対話情報蓄積部と、
    　取得した学習状況情報に基づいて蓄積されている対話情報を選択するユーザ識別情報に関連付けられたルールであるユーザ別対話情報選択ルールを保持する第三学習ユーザ別対話情報選択ルール保持部と、
    　取得した学習状況情報と保持されているユーザ別対話情報選択ルールと、に基づいてそのユーザごとの特性に即した対話形式の対話情報を第三学習対話情報蓄積部から選択する第三学習対話情報選択部と、
    　選択した対話情報をユーザ識別情報で識別されるユーザに対して前記ＳＮＳを介して出力するための第三学習対話情報出力部と、
    　を有する対話式学習促進システム。     A third learning user identification information holding unit that holds user identification information identifying a user who uses the SNS and the learning system;
    The SNS user related information which is user related information including the speech of the user of the SNS used by the user in association with the user identification information and the speech of a person involved in the learning system (including the speech generated by the computer) is acquired as external information Three learning SNS user related information acquisition part,
    A third learning history information acquisition unit for acquiring learning history information that is information indicating a history of learning performed in a learning system used by a user in association with user identification information;
    A third learning effect information acquisition unit for acquiring learning effect information, which is information indicating an effect of learning performed in a learning system used by a user in association with user identification information;
    The third embodiment holds a learning analysis rule, which is a rule for acquiring learning status information by analyzing external information, learning history information, and learning effect information in association with user identification information from the viewpoint of grasping the learning status. Learning analysis rule holding unit,
    A third learning learning situation in which learning situation information is acquired based on acquired external information associated with user identification information, learning history information, learning effect information, and analysis rules associated with the same user identification information Information analysis acquisition unit,
    A third learning dialogue information storage unit storing dialogue information to be transmitted according to learning status information acquired in association with user identification information;
    A third learning user classified dialogue information selection rule holding unit which holds a classified dialogue information selection rule by user which is a rule associated with user identification information for selecting accumulated dialogue information based on the acquired learning situation information;
    Third learning dialogue information for selecting, from the third learning dialogue information storage unit, dialogue information of the dialogue format according to the characteristics of each user based on the acquired learning situation information and the held user dialogue information selection rule A selection unit,
    A third learning dialogue information output unit for outputting the selected dialogue information to the user identified by the user identification information via the SNS;
    Interactive learning promotion system.
  15. 　出力された対話情報に対して取得された学習効果情報に基づいて対話情報が有効であったか判断するルールである学習有効性判断ルールを保持する学習有効性判断ルール保持部と、
    　出力された対話情報とこの対話情報に対して取得された学習効果情報と、学習有効性判断ルールとに基づいて対話情報の有効性を判断する学習対話情報有効性判断部と、
    　をさらに有する請求項１２から請求項１４のいずれか一に記載の対話式学習促進システム。     A learning effectiveness judgment rule holding unit which holds a learning effectiveness judgment rule which is a rule for judging whether the dialogue information is effective based on the learning effect information acquired with respect to the outputted dialogue information;
    A learning dialogue information validity judgment unit which judges the validity of the dialogue information based on the outputted dialogue information, the learning effect information acquired for the dialogue information, and the learning validity judgment rule;
    The interactive learning promotion system according to any one of claims 12 to 14, further comprising:
  16. 　出力された対話情報に対して取得された学習履歴情報に基づいて対話情報が有効であったか判断するルールである学習履歴有効性判断ルールを保持する学習履歴有効性判断ルール保持部と、
    　出力された対話情報とこの対話情報に対して取得された学習履歴情報と、学習履歴有効性判断ルールとに基づいて対話情報の有効性を判断する学習履歴対話情報有効性判断部と、
    　をさらに有する請求項１２から請求項１５のいずれか一に記載の対話式学習促進システム。     A learning history validity judgment rule holding unit which holds a learning history validity judgment rule which is a rule for judging whether the dialogue information is effective based on learning history information acquired with respect to the outputted dialogue information;
    A learning history dialogue information validity judgment unit which judges the validity of the dialogue information based on the outputted dialogue information, the learning history information acquired for the dialogue information, and the learning history validity judgment rule;
    The interactive learning promotion system according to any one of claims 12 to 15, further comprising
  17. 　前記学習対話情報有効性判断部又は／及び前記学習履歴対話情報有効性判断部は、複数のユーザの対話情報の有効性を母集団に対して一部は共通のユーザ属性ごとに統計処理するルールである学習有効性統計処理ルールを保持する学習有効性統計処理ルール保持手段と、
    　複数のユーザの対話情報と、保持されている学習有効性統計処理ルールとに基づいて、統計的に対話情報の有効性を少なくとも母集団に対して一部は共通のユーザ属性ごとに判断した学習統計的対話情報有効性情報を取得する学習統計的対話情報有効性情報取得手段と、
    を有する請求項１５又は請求項１６に記載の対話式学習促進システム。     The learning dialogue information validity judging unit or / and the learning history dialogue information validity judging unit are rules for statistically processing validity of dialogue information of a plurality of users for each common user attribute with respect to a population Learning effectiveness statistical processing rule holding means for holding the learning effectiveness statistical processing rule;
    Based on the interaction information of multiple users and the learning effectiveness statistical processing rules that are held, learning that statistically determines the effectiveness of the interaction information for at least one population for each common user attribute Learning statistical dialogue information validity information acquiring means for acquiring statistical dialogue information validity information;
    The interactive learning promotion system of Claim 15 or Claim 16 which has these.
  18. 　学習対話情報有効性判断部又は／及び前記学習履歴対話情報有効性判断部での判断結果に基づいて（第一から第三のいずれでもよい）学習ユーザ別対話情報選択ルール保持部に保持されているユーザ別対話情報選択ルールを更新する学習ユーザ別対話情報選択ルール更新部をさらに有する請求項１５から請求項１７のいずれか一に記載の対話式学習促進システム。 Based on the judgment result of the learning dialogue information validity judging unit or / and the learning history dialogue information validity judging unit (whichever one of the first to third) may be held in the learning user classified dialogue information selection rule holding unit The interactive learning promotion system according to any one of claims 15 to 17, further comprising: a learning user-by-learning user dialogue information selection rule updating unit for updating the user-by-user dialogue information selection rule.
  19. 　取得した学習統計的対話情報有効性情報に基づいてユーザ別対話情報選択ルール保持部に保持されている（第一から第三のいずれでもよい）学習ユーザ別対話情報選択ルールを更新する学習統計的ユーザ別対話情報選択ルール更新部をさらに有する請求項１７又は請求項１７に従属する請求項１８に記載の対話式学習促進システム。 Based on the acquired learning statistical dialogue information validity information, learning statistical information for updating the dialogue information selecting rules for each learning user (which may be any of first to third) held in the dialogue information selection rule holding unit for each user The interactive learning promotion system according to claim 18, further comprising a user-by-user dialogue information selection rule updating unit.
  20. 　ＳＮＳ及び学習システムを利用するユーザを識別するユーザ識別情報を保持する学習学習ユーザ識別情報保持部と、
    　ユーザ識別情報と関連付けて外部情報と、学習履歴情報と、学習効果情報と、を学習状況の把握の観点で分析して学習状況情報を取得するためのルールである学習分析ルールを保持する学習分析ルール保持部と、
    　ユーザ識別情報に関連づけて取得した学習状況情報に応じて発信すべき対話情報を蓄積した学習対話情報蓄積部と、
    　取得した学習状況情報に基づいて蓄積されている対話情報を選択するユーザ識別情報に関連付けられたルールであるユーザ別対話情報選択ルールを保持する学習ユーザ別対話情報選択ルール保持部と、
    を有する対話式健康促進システムの動作方法であって、
    　ユーザ識別情報と関連付けてユーザが利用するＳＮＳのユーザの発言を含むユーザ関連情報であるＳＮＳユーザ関連情報を外部情報として取得する学習ＳＮＳユーザ関連情報取得ステップと、
    　ユーザ識別情報と関連付けてユーザが利用する学習システムからその学習システムで行われた学習の履歴を示す情報である学習履歴情報を取得する学習履歴情報取得ステップと、　
    　ユーザ識別情報と関連付けてユーザが利用する学習システムからその学習システムで行われた学習の効果を示す情報である学習効果情報を取得する学習効果情報取得ステップと、
    　ユーザ識別情報に関連付けられている取得した外部情報と、学習履歴情報と、学習効果情報と、同じユーザ識別情報に関連付けられている分析ルールとに基づいて学習状況情報を取得する学習状況情報分析取得ステップと、
    　取得した学習状況情報と保持されているユーザ別対話情報選択ルールと、に基づいてそのユーザごとの特性に即した対話形式の対話情報を学習対話情報蓄積部から選択する学習対話情報選択ステップと、
    　選択した対話情報をユーザ識別情報で識別されるユーザに対して前記ＳＮＳを介して出力するための学習対話情報出力ステップと、
    　からなる対話式学習促進システムの動作方法。     A learning and learning user identification information holding unit that holds user identification information that identifies a user who uses the SNS and the learning system;
    Learning analysis that holds learning analysis rules that are rules for analyzing external information, learning history information, and learning effect information in relation to user identification information from the viewpoint of grasping the learning situation and acquiring learning situation information A rule holding unit,
    A learning dialogue information storage unit storing dialogue information to be transmitted according to learning status information acquired in association with user identification information;
    Dialog information selection rule holding unit for each learning user holding a user-specific dialog information selection rule which is a rule associated with user identification information for selecting the accumulated dialogue information based on the acquired learning situation information;
    A method of operating an interactive health promotion system comprising:
    A learning SNS user related information acquiring step of acquiring, as external information, SNS user related information which is user related information including an utterance of a user of the SNS associated with the user identification information;
    A learning history information acquisition step of acquiring learning history information which is information indicating a history of learning performed in a learning system used by a user in association with user identification information;
    A learning effect information acquiring step of acquiring learning effect information, which is information indicating an effect of learning performed in a learning system used by a user in association with user identification information;
    Learning situation information analysis acquisition that acquires learning situation information based on acquired external information associated with user identification information, learning history information, learning effect information, and analysis rules associated with the same user identification information Step and
    A learning dialogue information selecting step of selecting, from the learning dialogue information storage unit, the dialogue style dialogue information in accordance with the characteristics of each user based on the acquired learning situation information and the held user dialogue information selection rule;
    A learning dialogue information output step for outputting the selected dialogue information to the user identified by the user identification information via the SNS;
    Method of interactive learning promotion system consisting of
  21. 　ＳＮＳ及び学習システムを利用するユーザを識別するユーザ識別情報を保持する学習ユーザ識別情報保持部と、
    　ユーザ識別情報と関連付けて外部情報と、学習履歴情報と、学習効果情報と、を学習状況の把握の観点で分析して学習状況情報を取得するためのルールである学習分析ルールを保持する学習分析ルール保持部と、
    　ユーザ識別情報に関連づけて取得した学習状況情報に応じて発信すべき対話情報を蓄積した学習対話情報蓄積部と、
    　取得した学習状況情報に基づいて蓄積されている対話情報を選択するユーザ識別情報に関連付けられたルールであるユーザ別対話情報選択ルールを保持する学習ユーザ別対話情報選択ルール保持部と、
    を有する対話式健康促進システムの動作プログラムであって、
    　ユーザ識別情報と関連付けてユーザが利用するＳＮＳのユーザの発言を含むユーザ関連情報であるＳＮＳユーザ関連情報を外部情報として取得する学習ＳＮＳユーザ関連情報取得ステップと、
    　ユーザ識別情報と関連付けてユーザが利用する学習システムからその学習システムで行われた学習の履歴を示す情報である学習履歴情報を取得する学習履歴情報取得ステップと、　
    　ユーザ識別情報と関連付けてユーザが利用する学習システムからその学習システムで行われた学習の効果を示す情報である学習効果情報を取得する学習効果情報取得ステップと、
    　ユーザ識別情報に関連付けられている取得した外部情報と、学習履歴情報と、学習効果情報と、同じユーザ識別情報に関連付けられている分析ルールとに基づいて学習状況情報を取得する学習状況情報分析取得ステップと、
    　取得した学習状況情報と保持されているユーザ別対話情報選択ルールと、に基づいてそのユーザごとの特性に即した対話形式の対話情報を学習対話情報蓄積部から選択する学習対話情報選択ステップと、
    　選択した対話情報をユーザ識別情報で識別されるユーザに対して前記ＳＮＳを介して出力するための学習対話情報出力ステップと、
    　からなる対話式学習促進システムの動作プログラム。     A learning user identification information holding unit that holds user identification information that identifies a user who uses the SNS and the learning system;
    Learning analysis that holds learning analysis rules that are rules for analyzing external information, learning history information, and learning effect information in relation to user identification information from the viewpoint of grasping the learning situation and acquiring learning situation information A rule holding unit,
    A learning dialogue information storage unit storing dialogue information to be transmitted according to learning status information acquired in association with user identification information;
    Dialog information selection rule holding unit for each learning user holding a user-specific dialog information selection rule which is a rule associated with user identification information for selecting the accumulated dialogue information based on the acquired learning situation information;
    An operating program of the interactive health promotion system having
    A learning SNS user related information acquiring step of acquiring, as external information, SNS user related information which is user related information including an utterance of a user of the SNS associated with the user identification information;
    A learning history information acquisition step of acquiring learning history information which is information indicating a history of learning performed in a learning system used by a user in association with user identification information;
    A learning effect information acquiring step of acquiring learning effect information, which is information indicating an effect of learning performed in a learning system used by a user in association with user identification information;
    Learning situation information analysis acquisition that acquires learning situation information based on acquired external information associated with user identification information, learning history information, learning effect information, and analysis rules associated with the same user identification information Step and
    A learning dialogue information selecting step of selecting, from the learning dialogue information storage unit, the dialogue style dialogue information in accordance with the characteristics of each user based on the acquired learning situation information and the held user dialogue information selection rule;
    A learning dialogue information output step for outputting the selected dialogue information to the user identified by the user identification information via the SNS;
    Program of interactive learning promotion system consisting of
  22. 　ＳＮＳを利用し、特定商品の購買履歴を有するユーザを識別するユーザ識別情報を保持する第一購買ユーザ識別情報保持部と、
    　ユーザ識別情報と関連付けてユーザが利用するＳＮＳのユーザの発言を含むユーザ関連情報であるＳＮＳユーザ関連情報を外部情報として取得する第一購買ＳＮＳユーザ関連情報取得部と、
    　ユーザ識別情報と関連付けてユーザの前記特定商品の購買履歴を示す情報である購買履歴情報を取得する第一購買履歴情報取得部と、　
    　ユーザ識別情報と関連付けてユーザが接した可能性がある前記特定商品の宣伝広告の発信履歴である宣伝広告発信履歴情報を取得する第一購買宣伝広告発信履歴情報取得部と、
    　ユーザ識別情報と関連付けて外部情報と、購買履歴情報と、宣伝広告発信履歴情報と、を前記特定商品の購入状況の把握の観点で分析して購入状況情報を取得するためのルールである第一購買分析ルールを保持する第一購買分析ルール保持部と、
    　ユーザ識別情報に関連付けられている取得した外部情報と、購買履歴情報と、宣伝広告発信履歴情報と、同じユーザ識別情報に関連付けられている第一購買分析ルールとに基づいて購入状況情報を取得する第一購買購入状況情報分析取得部と、
    　ユーザ識別情報に関連づけて取得した購入状況情報に応じて発信すべき対話情報を蓄積した第一購買対話情報蓄積部と、
    　取得した購入状況情報に基づいて蓄積されている対話情報を選択するユーザ識別情報に関連付けられたルールであるユーザ別対話情報選択ルールを保持する第一購買ユーザ別対話情報選択ルール保持部と、
    　取得した購入状況情報と保持されているユーザ別対話情報選択ルールと、に基づいてそのユーザごとの特性に即した対話形式の対話情報を第一購買対話情報蓄積部から選択する第一購買対話情報選択部と、
    　選択した対話情報をユーザ識別情報で識別されるユーザに対して前記ＳＮＳを介して出力するための第一購買対話情報出力部と、
    　を有する対話式購入促進システム。     A first purchaser user identification information holding unit that holds user identification information that identifies a user who has a purchase history of a specific product using an SNS;
    A first purchasing SNS user related information acquisition unit that acquires, as external information, SNS user related information that is user related information including an utterance of the user of the SNS associated with the user identification information and used by the user;
    A first purchase history information acquisition unit that acquires purchase history information that is information indicating the purchase history of the specific product of the user in association with user identification information;
    A first purchase advertisement advertisement transmission history information acquisition unit that acquires advertisement advertisement transmission history information that is a transmission history of advertisement of the specific product that may be touched by the user in association with user identification information;
    A rule for acquiring purchase status information by analyzing external information, purchase history information, advertisement advertisement transmission history information in association with user identification information from the viewpoint of grasping the purchase status of the specific product A first purchase analysis rule holding unit that holds purchase analysis rules;
    Purchase status information is acquired based on acquired external information associated with user identification information, purchase history information, advertising advertisement transmission history information, and a first purchase analysis rule associated with the same user identification information 1st purchase purchase situation information analysis acquisition department,
    A first purchase dialogue information storage unit storing dialogue information to be transmitted according to purchase status information acquired in association with user identification information;
    A first purchase user-by-user dialog information selection rule holding unit that holds a user-by-user dialog information selection rule that is a rule associated with user identification information that selects interaction information accumulated based on the acquired purchase status information;
    First purchase dialogue information for selecting dialogue-type dialogue information according to the characteristics of each user based on the acquired purchase situation information and the user-specific dialogue information selection rule held from the first purchase dialogue information storage unit A selection unit,
    A first purchase dialogue information output unit for outputting the selected dialogue information to the user identified by the user identification information via the SNS;
    Interactive purchase promotion system.
  23. ＳＮＳを利用し、特定商品の購買履歴を有するユーザを識別するユーザ識別情報を保持する第二購買ユーザ識別情報保持部と、
    　ユーザ識別情報と関連付けてユーザが利用するＳＮＳのユーザの発言を含むユーザ関連情報であるＳＮＳユーザ関連情報を外部情報として取得する第二購買ＳＮＳユーザ関連情報取得部と、
    　ユーザ識別情報と関連付けてユーザの前記特定商品の購買履歴を示す情報である購買履歴情報を取得する第二購買履歴情報取得部と、　
    　ユーザ識別情報と関連付けてユーザが接した可能性がある前記特定商品の宣伝広告の発信履歴である宣伝広告発信履歴情報を取得する第二購買宣伝広告発信履歴情報取得部と、
    　ユーザ識別情報と関連付けてユーザの行動又は／及びライフログを示す情報である行動・ライフログ情報を取得する第二購買行動・ライフログ情報取得部と、
    　ユーザ識別情報と関連付けて外部情報と、購買履歴情報と、宣伝広告発信履歴情報と、行動・ライフログ情報と、を前記特定商品の購入状況の把握の観点で分析して購入状況情報を取得するためのルールである第二購買分析ルールを保持する第二購買分析ルール保持部と、
    　ユーザ識別情報に関連付けられている取得した外部情報と、購買履歴情報と、宣伝広告発信履歴情報と、行動・ライフログ情報と、同じユーザ識別情報に関連付けられている第二購買分析ルールとに基づいて購入状況情報を取得する第二購買購入状況情報分析取得部と、
    　ユーザ識別情報に関連づけて取得した購入状況情報に応じて発信すべき対話情報を蓄積した第二購買対話情報蓄積部と、
    　取得した購入状況情報に基づいて蓄積されている対話情報を選択するユーザ識別情報に関連付けられたルールであるユーザ別対話情報選択ルールを保持する第二購買ユーザ別対話情報選択ルール保持部と、
    　取得した購入状況情報と保持されているユーザ別対話情報選択ルールと、に基づいてそのユーザごとの特性に即した対話形式の対話情報を第二購買対話情報蓄積部から選択する第二購買対話情報選択部と、
    　選択した対話情報をユーザ識別情報で識別されるユーザに対して前記ＳＮＳを介して出力するための第二購買対話情報出力部と、
    　を有する対話式購入促進システム。     A second purchaser user identification information holding unit that holds user identification information that identifies a user who has a purchase history of a specific product using an SNS;
    A second purchase SNS user related information acquisition unit that acquires, as external information, SNS user related information that is user related information that includes the utterance of the SNS user that the user uses in association with the user identification information;
    A second purchase history information acquisition unit that acquires purchase history information that is information indicating a purchase history of the specific product of the user in association with user identification information;
    A second purchase advertisement advertisement transmission history information acquisition unit that acquires advertisement advertisement transmission history information that is a transmission history of advertisement of the specific product that may be touched by the user in association with user identification information;
    A second purchasing behavior / life log information acquisition unit for acquiring behavior / life log information that is information indicating user behavior or / and a life log in association with user identification information;
    Purchase status information is obtained by analyzing external information, purchase history information, advertising / advertisement dispatch history information, behavior / life log information, in association with user identification information from the viewpoint of grasping the purchase status of the specific product. A second purchase analysis rule holding unit that holds a second purchase analysis rule that is a rule for
    Based on the acquired external information associated with the user identification information, purchase history information, advertising advertisement transmission history information, action / life log information, and a second purchase analysis rule associated with the same user identification information Second purchase status information analysis acquisition unit for obtaining the purchase status information;
    A second purchase dialogue information storage unit storing dialogue information to be transmitted according to purchase status information acquired in association with user identification information;
    A second purchase user-by-purchase dialog information selection rule holding unit that holds a user-by-user dialog information selection rule that is a rule associated with user identification information that selects interaction information accumulated based on the acquired purchase status information;
    Second purchase interaction information for selecting from the second purchase interaction information storage unit the interaction type interaction information according to the characteristics of each user based on the acquired purchase status information and the held user interaction information selection rule A selection unit,
    A second purchase interaction information output unit for outputting the selected interaction information to the user identified by the user identification information via the SNS;
    Interactive purchase promotion system.
  24. 　出力された対話情報に対して取得された購入状況情報に基づいて対話情報が有効であったか判断するルールである購買有効性判断ルールを保持する購買有効性判断ルール保持部と、
    　出力された対話情報とこの対話情報に対して取得された購入状況情報と、購買有効性判断ルールとに基づいて対話情報の有効性を判断する購買対話情報有効性判断部と、
    　をさらに有する請求項２２又は請求項２３に記載の対話式購入促進システム。     A purchase validity judgment rule holding unit holding a purchase validity judgment rule which is a rule for judging whether the dialogue information is valid based on the purchase situation information acquired for the outputted dialogue information;
    A purchase dialogue information validity judgment unit which judges the validity of the dialogue information based on the outputted dialogue information, the purchase situation information acquired for the dialogue information, and the purchase validity judgment rule;
    The interactive purchase promotion system according to claim 22 or 23, further comprising
  25. 　前記購買対話情報有効性判断部は、複数のユーザの対話情報の有効性を母集団に対して一部は共通のユーザ属性ごとに統計処理するルールである購買有効性統計処理ルールを保持する購買有効性統計処理ルール保持手段と、
    　複数のユーザの対話情報と、保持されている購買有効性統計処理ルールとに基づいて、統計的に対話情報の有効性を少なくとも母集団に対して一部は共通のユーザ属性ごとに判断した購買統計的対話情報有効性情報を取得する購買統計的対話情報有効性情報取得手段と、
    を有する請求項２４に記載の対話式購入促進システム。     The purchase dialogue information validity judgment unit holds a purchase validity statistical processing rule, which is a rule for performing statistical processing of the effectiveness of dialogue information of a plurality of users for each common user attribute with respect to a population with respect to a population Validity statistical processing rule holding means,
    Based on the interaction information of a plurality of users and the purchase effectiveness statistical processing rules that are held, purchasing that statistically determines the effectiveness of the interaction information at least for the population and for some common user attributes Purchasing statistical dialogue information validity information acquiring means for acquiring statistical dialogue information validity information;
    The interactive purchase promotion system according to claim 24, comprising:
  26. 　購買対話情報有効性判断部での判断結果に基づいて（第一でも第二でもよい）購買ユーザ別対話情報選択ルール保持部に保持されているユーザ別対話情報選択ルールを更新する購買ユーザ別対話情報選択ルール更新部をさらに有する請求項２４又は請求項２５に記載の対話式購入促進システム。 The user-specific dialog for updating the user-by-user dialog information selection rule held in the purchase-user-by-purchase dialog information selection rule holding unit based on the judgment result of the purchase dialog information validity judgment unit (first or second) The interactive purchase promotion system according to claim 24 or 25, further comprising an information selection rule updating unit.
  27. 　取得した購買統計的対話情報有効性情報に基づいて（第一でも第二でもよい）購買ユーザ別対話情報選択ルール保持部に保持されているユーザ別対話情報選択ルールを更新する購買統計的ユーザ別対話情報選択ルール更新部をさらに有する請求項２５又は請求項２５に従属する請求項２６に記載の対話式購入促進システム。 The user-specific dialogue information selection rule held in the purchase-user-by-purchase dialogue information selection rule holding unit is updated based on the acquired purchase statistical dialogue information validity information (purchased by statistical user) The interactive purchase promotion system according to claim 26, further comprising a dialogue information selection rule updating unit.
  28. 　ＳＮＳを利用し、特定商品の購買履歴を有するユーザを識別するユーザ識別情報を保持する購買ユーザ識別情報保持部と、
    　ユーザ識別情報と関連付けてユーザが利用するＳＮＳのユーザの発言を含むユーザ関連情報であるＳＮＳユーザ関連情報を外部情報として取得する購買ＳＮＳユーザ関連情報取得部と、
    　ユーザ識別情報と関連付けて外部情報と、購買履歴情報と、宣伝広告発信履歴情報と、を前記特定商品の購入状況の把握の観点で分析して購入状況情報を取得するためのルールである購買分析ルールを保持する購買分析ルール保持部と、
    　ユーザ識別情報に関連づけて取得した購入状況情報に応じて発信すべき対話情報を蓄積した購買対話情報蓄積部と、
    　取得した購入状況情報に基づいて蓄積されている対話情報を選択するユーザ識別情報に関連付けられたルールである購買ユーザ別対話情報選択ルールを保持する購買ユーザ別対話情報選択ルール保持部と、
    　を有する対話式購入促進システムの動作方法であって、
    　ユーザ識別情報と関連付けてユーザの前記特定商品の購買履歴を示す情報である購買履歴情報を取得する購買履歴情報取得ステップと、　
    　ユーザ識別情報と関連付けてユーザが接した可能性がある前記特定商品の宣伝広告の発信履歴である宣伝広告発信履歴情報を取得する購買宣伝広告発信履歴情報取得スッテプと、
    　ユーザ識別情報に関連付けられている取得した外部情報と、購買履歴情報と、宣伝広告発信履歴情報と、同じユーザ識別情報に関連付けられている購買分析ルールとに基づいて購入状況情報を取得する購買購入状況情報分析取得ステップと、
    　取得した購入状況情報と保持されている購買ユーザ別対話情報選択ルールと、に基づいてそのユーザごとの特性に即した対話形式の対話情報を購買対話情報蓄積部から選択する購買対話情報選択ステップと、
    　選択した対話情報をユーザ識別情報で識別されるユーザに対して前記ＳＮＳを介して出力するための購買対話情報出力ステップと、
    　からなる対話式購入促進システム動作方法。     A purchase user identification information holding unit that holds user identification information that identifies a user who has a purchase history of a specific product using an SNS;
    A purchasing SNS user related information acquisition unit that acquires, as external information, SNS user related information that is user related information including an utterance of a user of the SNS associated with the user identification information,
    Purchase analysis which is a rule for acquiring purchase status information by analyzing external information, purchase history information, advertisement advertisement transmission history information in association with user identification information from the viewpoint of grasping the purchase status of the specific product Purchase analysis rule holding unit that holds rules,
    A purchase dialogue information storage unit storing dialogue information to be transmitted according to purchase status information acquired in association with user identification information;
    Purchase-user-by-purchase dialog information selection rule holding unit that holds purchase-user-by-purchase dialog information selection rules that are rules associated with user identification information for selecting the accumulated dialogue information based on the acquired purchase status information;
    A method of operating an interactive purchase promotion system comprising:
    A purchase history information acquisition step of acquiring purchase history information that is information indicating a purchase history of the specific product of the user in association with user identification information;
    Purchase advertisement advertisement transmission history information acquisition step for acquiring advertisement advertisement transmission history information which is a transmission history of advertisement of the specific product which may be touched by the user in association with user identification information;
    Purchase purchase that acquires purchase status information based on acquired external information associated with user identification information, purchase history information, advertising advertisement transmission history information, and purchase analysis rules associated with the same user identification information Situation information analysis acquisition step,
    A purchase dialogue information selection step of selecting from the purchase dialogue information storage unit dialogue dialogue information conforming to the characteristics of each user based on the acquired purchase situation information and the held purchase user dialogue information selection rule; ,
    A purchase dialogue information output step for outputting the selected dialogue information to the user identified by the user identification information via the SNS;
    An interactive purchase promotion system operating method comprising:
  29. 　ＳＮＳを利用し、特定商品の購買履歴を有するユーザを識別するユーザ識別情報を保持する購買ユーザ識別情報保持部と、
    　ユーザ識別情報と関連付けてユーザが利用するＳＮＳのユーザの発言を含むユーザ関連情報であるＳＮＳユーザ関連情報を外部情報として取得する購買ＳＮＳユーザ関連情報取得部と、
    　ユーザ識別情報と関連付けて外部情報と、購買履歴情報と、宣伝広告発信履歴情報と、を前記特定商品の購入状況の把握の観点で分析して購入状況情報を取得するためのルールである購買分析ルールを保持する購買分析ルール保持部と、
    　ユーザ識別情報に関連づけて取得した購入状況情報に応じて発信すべき対話情報を蓄積した購買対話情報蓄積部と、
    　取得した購入状況情報に基づいて蓄積されている対話情報を選択するユーザ識別情報に関連付けられたルールである購買ユーザ別対話情報選択ルールを保持する購買ユーザ別対話情報選択ルール保持部と、
    　を有する対話式購入促進システムの動作プログラムであって、
    　ユーザ識別情報と関連付けてユーザの前記特定商品の購買履歴を示す情報である購買履歴情報を取得する購買履歴情報取得ステップと、　
    　ユーザ識別情報と関連付けてユーザが接した可能性がある前記特定商品の宣伝広告の発信履歴である宣伝広告発信履歴情報を取得する購買宣伝広告発信履歴情報取得スッテプと、
    　ユーザ識別情報に関連付けられている取得した外部情報と、購買履歴情報と、宣伝広告発信履歴情報と、同じユーザ識別情報に関連付けられている購買分析ルールとに基づいて購入状況情報を取得する購買購入状況情報分析取得ステップと、
    　取得した購入状況情報と保持されている購買ユーザ別対話情報選択ルールと、に基づいてそのユーザごとの特性に即した対話形式の対話情報を購買対話情報蓄積部から選択する購買対話情報選択ステップと、
    　選択した対話情報をユーザ識別情報で識別されるユーザに対して前記ＳＮＳを介して出力するための購買対話情報出力ステップと、
    　からなる対話式購入促進システム動作プログラム。     A purchase user identification information holding unit that holds user identification information that identifies a user who has a purchase history of a specific product using an SNS;
    A purchasing SNS user related information acquisition unit that acquires, as external information, SNS user related information that is user related information including an utterance of a user of the SNS associated with the user identification information,
    Purchase analysis which is a rule for acquiring purchase status information by analyzing external information, purchase history information, advertisement advertisement transmission history information in association with user identification information from the viewpoint of grasping the purchase status of the specific product Purchase analysis rule holding unit that holds rules,
    A purchase dialogue information storage unit storing dialogue information to be transmitted according to purchase status information acquired in association with user identification information;
    Purchase-user-by-purchase dialog information selection rule holding unit that holds purchase-user-by-purchase dialog information selection rules that are rules associated with user identification information for selecting the accumulated dialogue information based on the acquired purchase status information;
    An operating program of the interactive purchase promotion system having
    A purchase history information acquisition step of acquiring purchase history information which is information indicating a purchase history of the specific product of the user in association with user identification information
    Purchase advertisement advertisement transmission history information acquisition step for acquiring advertisement advertisement transmission history information which is a transmission history of advertisement of the specific product which may be touched by the user in association with user identification information;
    Purchase purchase that acquires purchase status information based on acquired external information associated with user identification information, purchase history information, advertising advertisement transmission history information, and purchase analysis rules associated with the same user identification information Situation information analysis acquisition step,
    A purchase dialogue information selection step of selecting from the purchase dialogue information storage unit dialogue dialogue information conforming to the characteristics of each user based on the acquired purchase situation information and the held purchase user dialogue information selection rule; ,
    A purchase dialogue information output step for outputting the selected dialogue information to the user identified by the user identification information via the SNS;
    Interactive purchase promotion system operation program consisting of.
  30. 　特定商品の購買履歴を有するユーザに代えて、特定商品の宣伝広告発信履歴情報を有するユーザとした、請求項２２から請求項２７に記載の対話式購入促進システム。 The interactive purchase promotion system according to any one of claims 22 to 27, wherein the user having advertisement advertisement transmission history information of a specific product is replaced with the user having purchase history of the specific product.
  31. 　出力された対話情報に対する応答対話情報を取得する学習応答対話情報取得部と、
    　出力された対話情報に対して取得された応答対話情報が有効であったか判断するルールである学習応答有効性判断ルールを保持する学習応答有効性判断ルール保持部と、
    　出力された対話情報とこの対話情報に対して取得された応答対話情報と、学習応答有効性判断ルールとに基づいて対話情報の有効性を判断する学習応答対話情報有効性判断部と、
    　をさらに有する請求項１２から請求項１６に記載の対話式学習促進システム。     A learning response dialogue information acquisition unit that acquires response dialogue information for the outputted dialogue information;
    A learning response validity determination rule holding unit that holds a learning response validity determination rule, which is a rule for determining whether the response dialogue information acquired for the output dialogue information is valid;
    A learning response dialogue information validity determination unit that determines the validity of the dialogue information based on the output dialogue information, the response dialogue information acquired for the dialogue information, and the learning response validity determination rule;
    The interactive learning promotion system according to claim 12, further comprising:
  32. 　出力された対話情報に対する応答対話情報を取得する学習応答対話情報取得部と、
    　出力された対話情報に対して取得された応答対話情報が有効であったか判断するルールである学習応答有効性判断ルールを保持する学習応答有効性判断ルール保持部と、
    　出力された対話情報とこの対話情報に対して取得された応答対話情報と、学習応答有効性判断ルールとに基づいて対話情報の有効性を判断する学習応答対話情報有効性判断部とを有するとともに、
    　前記学習応答対話情報有効性判断部は、複数のユーザの対話情報の有効性を母集団に対して一部は共通のユーザ属性ごとに統計処理するルールである学習応答有効性統計処理ルールを保持する学習応答有効性統計処理ルール保持手段と、
    　複数のユーザの対話情報と、保持されている学習応答有効性統計処理ルールとに基づいて、統計的に対話情報の有効性を少なくとも母集団に対して一部は共通のユーザ属性ごとに判断した学習応答統計的対話情報有効性情報を取得する学習応答統計的対話情報有効性情報取得手段と、
    　をさらに有する請求項１２から請求項１６に記載の対話式学習促進システム。     A learning response dialogue information acquisition unit that acquires response dialogue information for the outputted dialogue information;
    A learning response validity determination rule holding unit that holds a learning response validity determination rule, which is a rule for determining whether the response dialogue information acquired for the output dialogue information is valid;
    A learning response dialogue information validity judgment unit for judging the validity of the dialogue information based on the outputted dialogue information, the response dialogue information acquired for the dialogue information, and the learning response validity judgment rule ,
    The learning response dialogue information validity judging unit holds learning response validity statistical processing rules, which are rules for performing statistical processing of the effectiveness of dialogue information of a plurality of users for each common user attribute with respect to a population Learning response effectiveness statistical processing rule holding means,
    Based on the dialogue information of a plurality of users and the learning response effectiveness statistical processing rules held, the effectiveness of the dialogue information is judged statistically for at least a part of the population for each common user attribute. Learning response statistical dialogue information validity information acquiring means; learning response statistical dialogue information validity information acquiring means;
    The interactive learning promotion system according to claim 12, further comprising:
  33. 　学習応答対話情報有効性判断部での判断結果に基づいて（第一から第三のいずれでもよい）学習ユーザ別対話情報選択ルール保持部に保持されているユーザ別対話情報選択ルールを更新する学習応答ユーザ別対話情報選択ルール更新部をさらに有する請求項３１又は請求項３２に記載の対話式学習促進システム。 Based on the judgment result of the learning response dialogue information validity judgment unit (by any of the first to third dialogue information selection rule held by learning users) learning to update the user dialogue information selection rules held by the learning unit The interactive learning promotion system according to claim 31 or 32, further comprising a response user specific dialog information selection rule updating unit.
  34. 　取得した学習応答統計的対話情報有効性情報に基づいて（第一から第三のいずれでもよい）学習ユーザ別対話情報選択ルール保持部に保持されているユーザ別対話情報選択ルールを更新する学習応答統計的ユーザ別対話情報選択ルール更新部をさらに有する請求項３２又は請求項３２に従属する請求項３３に記載の対話式学習促進システム。 Learning response for updating the user-by-user dialogue information selection rule held in the learning-user-by-learning user dialogue information selection rule holding unit based on the acquired learning response statistical dialogue information validity information The interactive learning promotion system according to claim 33, further comprising a statistical user-specific dialogue information selection rule updating unit.
  35. 　出力された対話情報に対する応答対話情報を取得する購買応答対話情報取得部と、
    　出力された対話情報に対して取得された応答対話情報が有効であったか判断するルールである購買応答有効性判断ルールを保持する購買応答有効性判断ルール保持部と、
    　出力された対話情報とこの対話情報に対して取得された応答対話情報と、購買応答有効性判断ルールとに基づいて対話情報の有効性を判断する購買応答対話情報有効性判断部と、
    　をさらに有する請求項２２から請求項２４に記載の対話式購入促進システム。     A purchase response dialogue information acquisition unit for acquiring response dialogue information to the outputted dialogue information;
    A purchase response validity judgment rule holding unit holding a purchase response validity judgment rule which is a rule for judging whether the response dialogue information acquired with respect to the outputted dialogue information is valid;
    A purchase response dialogue information validity judgment unit that judges the validity of the dialogue information based on the outputted dialogue information, the response dialogue information acquired for the dialogue information, and the purchase response validity judgment rule;
    25. The interactive purchase promotion system according to claim 22, further comprising:
  36. 出力された対話情報に対する応答対話情報を取得する購買応答対話情報取得部と、
    　出力された対話情報に対して取得された応答対話情報が有効であったか判断するルールである購買応答有効性判断ルールを保持する購買応答有効性判断ルール保持部と、
    　出力された対話情報とこの対話情報に対して取得された応答対話情報と、購買応答有効性判断ルールとに基づいて対話情報の有効性を判断する購買応答対話情報有効性判断部とを有するとともに、
    　前記購買応答対話情報有効性判断部は、複数のユーザの対話情報の有効性を母集団に対して一部は共通のユーザ属性ごとに統計処理するルールである購買応答有効性統計処理ルールを保持する購買応答有効性統計処理ルール保持手段と、
    　複数のユーザの対話情報と、保持されている購買応答有効性統計処理ルールとに基づいて、統計的に対話情報の有効性を少なくとも母集団に対して一部は共通のユーザ属性ごとに判断した購買応答統計的対話情報有効性情報を取得する購買応答統計的対話情報有効性情報取得手段と、
    　をさらに有する請求項２２から請求項２４に記載の対話式購入促進システム。     A purchase response dialogue information acquisition unit for acquiring response dialogue information to the outputted dialogue information;
    A purchase response validity judgment rule holding unit holding a purchase response validity judgment rule which is a rule for judging whether the response dialogue information acquired with respect to the outputted dialogue information is valid;
    It has a purchase response dialogue information validity judgment unit for judging the validity of the dialogue information based on the outputted dialogue information, the response dialogue information acquired for the dialogue information, and the purchase response validity judgment rule ,
    The purchase response dialogue information validity judgment unit holds a purchase response validity statistical processing rule, which is a rule for performing statistical processing on the validity of dialogue information of a plurality of users for each common user attribute with respect to a population. Purchase response effectiveness statistical processing rule holding means,
    Based on the interaction information of a plurality of users and the purchase response effectiveness statistical processing rules held, the effectiveness of the interaction information is judged statistically at least partially for each population, for each common user attribute. Purchase response statistical dialogue information validity information acquiring means; purchase response statistical dialogue information validity information acquiring means;
    25. The interactive purchase promotion system according to claim 22, further comprising:
  37. 　購買応答対話情報有効性判断部での判断結果に基づいて（第一でも第二でもよい）購買ユーザ別対話情報選択ルール保持部に保持されているユーザ別対話情報選択ルールを更新する購買応答ユーザ別対話情報選択ルール更新部をさらに有する請求項３５又は請求項３６に記載の対話式購入促進システム。 Purchase response user updating the user-by-user dialog information selection rule held in the purchase-user-by-purchase dialog information selection rule holding unit based on the determination result of the purchase response dialog information validity judgment unit The interactive purchase promotion system according to claim 35 or 36, further comprising another interactive information selection rule updating unit.
  38. 　取得した購買応答統計的対話情報有効性情報に基づいて（第一でも第二でもよい）購買ユーザ別対話情報選択ルール保持部に保持されているユーザ別対話情報選択ルールを更新する購買応答統計的ユーザ別対話情報選択ルール更新部をさらに有する請求項３６又は請求項３６に従属する請求項３７に記載の対話式購入促進システム。 Purchase response statistical update for updating the user-by-user dialogue information selection rule held in the purchase-user-by-purchase dialogue information selection rule holding unit based on the acquired purchase response statistical dialogue information validity information (first or second) The interactive purchase promotion system according to claim 37, further comprising a user-by-user dialog information selection rule updating unit.
  39. 　特定商品の購買履歴を有するユーザに代えて、特定商品の宣伝広告発信履歴を有するユーザとして、請求項３５から請求項３８に記載の対話式購入促進システム。 The interactive purchase promotion system according to any one of claims 35 to 38 as a user having an advertisement transmission history of a specific product instead of a user having a purchase history of a specific product.
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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111696648A (en) * 2020-05-07 2020-09-22 北京大学第六医院 Psychological consultation platform based on Internet
JP2021026657A (en) * 2019-08-08 2021-02-22 株式会社Ｎｔｔドコモ Information processing unit
US20210089996A1 (en) * 2019-09-19 2021-03-25 Nokia Technologies Oy User interaction
JP6913803B1 (en) * 2020-08-25 2021-08-04 株式会社オプティム Programs, methods, and systems
CN113313531A (en) * 2021-06-17 2021-08-27 浙江锐驰网络科技有限公司 E-commerce trial evaluation and recommendation system based on user requirements
WO2022065484A1 (en) * 2020-09-28 2022-03-31 株式会社タニタ Group registration device, group registration method, and group registration program
KR20220122888A (en) * 2021-02-26 2022-09-05 주식회사 제나 Method and system for providing remote solution based on user health

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6362286B1 (en) * 2017-09-28 2018-07-25 浩 松平 Interactive health promotion system
JP7224618B2 (en) * 2018-09-03 2023-02-20 孝文 栢 Action recommendation device and action recommendation system
JP6611972B1 (en) 2019-03-05 2019-11-27 正通 亀井 Advice presentation system
JP6916367B1 (en) * 2020-11-30 2021-08-11 株式会社博報堂Ｄｙホールディングス Estimating system and estimation method
JP7181273B2 (en) * 2020-12-24 2022-11-30 ミサワホーム株式会社 At-home index calculator and at-home index display system
JP7198296B2 (en) * 2021-01-21 2022-12-28 Tis株式会社 Occupational Improvement Device, Occupational Improvement Method, and Occupational Improvement Program
KR102346519B1 (en) * 2021-09-24 2022-01-03 주식회사 루다드림 Digital marketing providing system and operation method thereof
JP7121848B1 (en) 2021-11-12 2022-08-18 株式会社ユカリア Information processing device, information processing method, information processing program and information processing system
JP7405900B2 (en) * 2022-05-16 2023-12-26 Ｌｉｎｅヤフー株式会社 Information processing device, information processing method, and information processing program

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002311158A (en) * 2001-04-19 2002-10-23 Metocean Environment Inc System, method, and program for downloading medical meteorological forecast
JP2003131551A (en) * 2001-10-26 2003-05-09 Ricoh Elemex Corp Learning support system and learning support method
JP2012189624A (en) * 2011-03-08 2012-10-04 Sony Corp Learning support device, learning support method, and program
US20140195255A1 (en) * 2013-01-08 2014-07-10 Robert Bosch Gmbh System And Method For Assessment Of Patient Health Using Patient Generated Data
JP2016045584A (en) * 2014-08-20 2016-04-04 ヤフー株式会社 Response generation device, response generation method, and response generation program
JP2016170733A (en) * 2015-03-13 2016-09-23 富士通株式会社 Message display program, message display method and information processor
JP2016184403A (en) * 2015-03-25 2016-10-20 パロ アルト リサーチ センター インコーポレイテッド System and method for providing individualized health and wellness coaching
JP2016189202A (en) * 2011-06-15 2016-11-04 フェイスブック，インク． Social networking system data exchange
WO2017022140A1 (en) * 2015-07-31 2017-02-09 株式会社ＦｉＮＣ Health management server, control method therefor, and health management message application program

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6362286B1 (en) 2017-09-28 2018-07-25 浩 松平 Interactive health promotion system

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002311158A (en) * 2001-04-19 2002-10-23 Metocean Environment Inc System, method, and program for downloading medical meteorological forecast
JP2003131551A (en) * 2001-10-26 2003-05-09 Ricoh Elemex Corp Learning support system and learning support method
JP2012189624A (en) * 2011-03-08 2012-10-04 Sony Corp Learning support device, learning support method, and program
JP2016189202A (en) * 2011-06-15 2016-11-04 フェイスブック，インク． Social networking system data exchange
US20140195255A1 (en) * 2013-01-08 2014-07-10 Robert Bosch Gmbh System And Method For Assessment Of Patient Health Using Patient Generated Data
JP2016045584A (en) * 2014-08-20 2016-04-04 ヤフー株式会社 Response generation device, response generation method, and response generation program
JP2016170733A (en) * 2015-03-13 2016-09-23 富士通株式会社 Message display program, message display method and information processor
JP2016184403A (en) * 2015-03-25 2016-10-20 パロ アルト リサーチ センター インコーポレイテッド System and method for providing individualized health and wellness coaching
WO2017022140A1 (en) * 2015-07-31 2017-02-09 株式会社ＦｉＮＣ Health management server, control method therefor, and health management message application program

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2021026657A (en) * 2019-08-08 2021-02-22 株式会社Ｎｔｔドコモ Information processing unit
US20210089996A1 (en) * 2019-09-19 2021-03-25 Nokia Technologies Oy User interaction
US11593727B2 (en) * 2019-09-19 2023-02-28 Nokia Technologies Oy User interaction
CN111696648A (en) * 2020-05-07 2020-09-22 北京大学第六医院 Psychological consultation platform based on Internet
JP6913803B1 (en) * 2020-08-25 2021-08-04 株式会社オプティム Programs, methods, and systems
JP2022037828A (en) * 2020-08-25 2022-03-09 株式会社オプティム Program, method and system
WO2022043980A3 (en) * 2020-08-25 2022-04-14 株式会社オプティム Program, method, and system
WO2022065484A1 (en) * 2020-09-28 2022-03-31 株式会社タニタ Group registration device, group registration method, and group registration program
KR20220122888A (en) * 2021-02-26 2022-09-05 주식회사 제나 Method and system for providing remote solution based on user health
KR102506080B1 (en) * 2021-02-26 2023-03-07 주식회사 제나 Method and system for providing remote solution based on user health
CN113313531A (en) * 2021-06-17 2021-08-27 浙江锐驰网络科技有限公司 E-commerce trial evaluation and recommendation system based on user requirements
CN113313531B (en) * 2021-06-17 2022-11-11 浙江良创信息科技有限公司 E-commerce trial evaluation and recommendation system based on user requirements

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