WO2022070352A1

WO2022070352A1 - Information processing device, content providing method, and program

Info

Publication number: WO2022070352A1
Application number: PCT/JP2020/037303
Authority: WO
Inventors: 啓一 ▲葛▼西
Original assignee: 株式会社Pfu
Priority date: 2020-09-30
Filing date: 2020-09-30
Publication date: 2022-04-07

Abstract

The purpose of the present invention is to enhance a place of online communication by providing content appropriate to that place. This information processing device is provided with: an attribute information generation unit which generates attribute information of a place indicating attributes of a place where multiple participants in mutually distant locations engage in conversation over a communication network using at least voice communication; a content determination unit which, on the basis of said attribute information, determines content that matches the attribute information; and a providing unit which provides the determined content to one or more participants in the place.

Description

Information processing equipment, content provision method, and program

This disclosure relates to technology for providing information suitable for the occasion.

Conventionally, in order to enhance the advertising effect, it is a system for selecting an advertisement to be displayed based on the emotion of the speaker, and the voice of the speaker is acquired and the emotion of the speaker is analyzed based on the acquired voice. However, a system for accumulating emotion analysis results in a database and changing the screen display based on the emotion analysis results and a system for changing the screen display based on the word spotting results have been proposed (see Patent Document 1). ).

Similarly, there has been proposed an advertising system in which recommended advertisements searched based on emotional states and search results based on keywords are transmitted to the client based on emotional signals and keywords received from a client (see Patent Document 2). ..

In addition, by detecting the sound around the user, the voice information of the user, the voice information of others other than the user, and the environmental sound are acquired, and the information to be provided to the user is determined based on the acquired sound information. Various techniques have been proposed (see Patent Documents 3 to 5).

In-vehicle devices that analyze the communication between occupants in a vehicle, estimate the relationship between occupants based on the analyzed communication, and provide selected content based on the transition of the estimated relationship. It has been proposed (see Patent Document 6).

In addition, based on the reaction information about the user's reaction to the information about the product or service, the list information about the product or service is generated, and the product or service corresponding to the generated list information is sent to other users who have a predetermined relationship with the user. A device that provides recommended information as a product or service to give to a user has been proposed (see Patent Document 7).

In addition, a technique for grouping data items in client devices and mobile devices based on information related to sounds extracted from environmental sounds has been proposed (see Patent Documents 8 and 9).

Japanese Unexamined Patent Publication No. 2008-170820 Japanese Unexamined Patent Publication No. 2013-109767 Japanese Unexamined Patent Publication No. 2010-244190 Japanese Unexamined Patent Publication No. 2017-228281 Japanese Unexamined Patent Publication No. 2017-228164 Japanese Unexamined Patent Publication No. 2018-133696 Japanese Unexamined Patent Publication No. 2017-228269 Japanese Patent Publication No. 2014-515844 Japanese Patent Publication No. 2016-528637

Conventionally, as a place of communication for work and hobbies, an online communication place where a remote user can exchange voice, video, etc. via a communication network, such as a web conference, has become widespread. In addition, with the recent spread of remote work and telework, the demand for online communication is increasing.

However, in the place of online communication, there are enough users who participated in the place because the flow of the story on the spot stopped, the story proceeded in an unfavorable direction, the content of the story was not interesting, etc. In some cases, I was not satisfied with it.

In view of the above problems, the subject of this disclosure is to enhance the venue by providing content suitable for the venue of online communication.

An example of the present disclosure is an attribute information generation means for generating attribute information of a place indicating the attributes of a place where a plurality of participants who are separated from each other have a conversation using at least voice communication via a communication network. An information processing device including a content determining means for determining content matching the attribute information based on the attribute information of the field, and a providing means for providing the determined content to one or more participants in the field. Is.

This disclosure can be understood as an information processing device, a system, a method executed by a computer, or a program executed by a computer. Further, the present disclosure can be grasped as if such a program is recorded on a recording medium that can be read by a computer or other device, a machine, or the like. Here, a recording medium that can be read by a computer or the like is a recording medium that can be read from a computer or the like by accumulating information such as data or programs by electrical, magnetic, optical, mechanical or chemical action. say.

According to this disclosure, it is possible to enhance the venue by providing content suitable for the venue of online communication.

It is a schematic diagram which shows the structure of the system which concerns on embodiment. It is a figure which shows the outline of the operation of the system which concerns on embodiment. It is a figure which shows the outline of the functional structure of the information processing apparatus which concerns on embodiment. It is a figure which shows an example of the structure of the attribute information which concerns on embodiment. It is a figure which shows an example of the content type definition program which concerns on embodiment. It is a figure which shows an example of the content definition structure which concerns on embodiment. It is a flowchart which shows the outline of the flow of the content provision process which concerns on embodiment. It is a flowchart which shows the outline of the flow of the content determination process which concerns on embodiment.

Hereinafter, embodiments of the information processing apparatus, method, and program according to the present disclosure will be described with reference to the drawings. However, the embodiments described below are examples of the embodiments, and the information processing apparatus, method, and program according to the present disclosure are not limited to the specific configurations described below. In the implementation, a specific configuration according to the embodiment may be appropriately adopted, and various improvements and modifications may be made.

In the present embodiment, the information processing apparatus, method and program according to the present disclosure are provided with contents suitable for a place where a plurality of participants who are distant from each other have a conversation using at least voice communication via a network. An embodiment will be described when the system is implemented. However, the information processing apparatus, method, and program according to the present disclosure can be widely used for technology for providing content suitable for a place where a plurality of participants communicate via a network, and the present disclosure can be widely used. The application target is not limited to the example shown in the embodiment.

<System configuration>
FIG. 1 is a schematic diagram showing a configuration of a system according to the present embodiment. In the system according to the present embodiment, the information processing device 1, which can communicate with each other by being connected to the network, and a plurality of participants at remote locations have a conversation using at least voice communication via the communication network. It is provided with a place providing device 9 for providing a place to perform (hereinafter referred to as "online place"), and a plurality of participant terminals (user terminals) 8. The participant terminal 8 is a computer used by participants (users) who have gathered as a member of a group having a conversation together in an online place. Participants participate in the online venue provided by the venue providing device 9 via the participant terminal 8, and the content suitable for the online venue directly from the information processing device 1 or via the venue providing device 9 ( Information) is acquired.

The information processing device 1 includes a CPU (Central Processing Unit) 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, an EEPROM (Electrically Erasable and Project Memory) Memory Hide It is a computer including a device 14, a communication unit such as an NIC (Network Interface Card) 15, and the like. However, the specific hardware configuration of the information processing apparatus 1 can be omitted, replaced, or added as appropriate depending on the embodiment. Further, the information processing device 1 is not limited to a device having a single housing. The information processing device 1 may be realized by a plurality of devices using so-called cloud or distributed computing technology.

The place providing device 9 is an application (software) for holding a meeting such as a meeting or a drinking party online, that is, a device for providing (holding) an online place equipped with an application for performing online communication. be. The venue providing device 9 connects a plurality of participants who are located at remote locations (bases) to each other via a communication network, so that each participant can be provided (held) online by the venue providing device 9. It is possible to participate in a venue (meeting) and have a conversation while sharing audio and video with other participants. In the present disclosure, the online place is a place (meeting place (space)) where a conversation is held using at least voice communication via a communication network, and not only voice but also video and text information are participants. It may be a place where conversations are held by being sent and received between them. Examples of online venues include web conferences and video conferences.

The place providing device 9 may be a server owned by a cloud operator or the like that provides a cloud service, or may be, for example, an in-house dedicated server on which the above-mentioned application is implemented (installed). The field providing device 9 is not limited to the device consisting of a single housing. The field providing device 9 may be realized by a plurality of devices using so-called cloud or distributed computing technology.

The function related to the information processing device 1 according to the present disclosure may be implemented in the field providing device 9 that provides the field. In that case, the information processing device 1 may be the same device as the field providing device 9. Further, when the online venue is a connection form in which participants are directly connected to each other without going through a server, such as a video conference venue, the system according to the present disclosure does not have to be equipped with the venue providing device 9. good.

FIG. 2 is a diagram showing an outline of the operation of the system according to the present embodiment. The information processing device 1 according to the present embodiment has various voices of participants during a conversation in an online place (such as "I want to eat fried chicken"), environmental sounds around the participants, and information on the venue. By acquiring the data (material data), the attribute information of the online field (hereinafter referred to as "field attribute information") is generated. Then, the information processing apparatus 1 determines the content matching the attribute information (meta information) of the place from the content held in advance, the content acquired from the outside, the content generated in the information processing apparatus 1, and the like. Provide the content to the participants in the venue. As a result, it becomes possible to provide contents that match the atmosphere of the place and contents that are suitable for the hobbies and tastes of the participants of the place, and it is possible to enhance the place.

For example, a participant who says "I want to eat fried chicken" and other participants can get information on an EC (electronic transaction) site where the product can be purchased as content, so that the EC site can be purchased. It becomes possible to purchase products using information. It should be noted that the information processing apparatus 1 can provide content matching the place to each place by generating the attribute information of the place for each of a plurality of online places. ..

FIG. 3 is a diagram showing an outline of the functional configuration of the information processing apparatus 1 according to the present embodiment. The information processing device 1 acquires material data by reading the program recorded in the storage device 14 into the RAM 13 and executing the program by the CPU 11 to control each hardware provided in the information processing device 1. Unit 21, attribute information generation unit 22, attribute information storage unit 23, topic data acquisition unit 24, content definition data storage unit 25, content determination unit 26, content acquisition unit 27, content storage unit 28, application determination unit 29, provider It functions as an information processing device including a control unit 30, a provision unit 31, an action information acquisition unit 32, an action information sharing unit 33, a gift processing unit 34, and a group generation unit 35. In this embodiment and other embodiments described later, each function provided in the information processing apparatus 1 is executed by the CPU 11 which is a general-purpose processor, but some or all of these functions are dedicated to one or more. It may be executed by the processor.

The material data acquisition unit 21 acquires the material data that is the basis for generating the attribute information of the field. As material data, the material data acquisition unit 21 transfers shared data shared by all participants in the online venue and non-shared data owned only by a specific participant from one or more participant terminals 8 and the venue providing device 9. get. The shared data includes, for example, data relating to sounds generated in an online venue, data relating to information about an online venue, data relating to a disclosed profile of participants, and the like. The non-shared data is not disclosed to others or data stored in the participant terminal 8 by the individual participant, such as data related to the event calendar of the individual participant, image data, and memo pad data. Includes data related to participants' profiles.

For example, the material data acquisition unit 21 obtains data related to the voice spoken by the participant and data related to the environmental sound around the participant as data related to the sound generated in the online place, to the participant terminal 8 and the place providing device 9. Get from. The data related to the voice spoken by the participant may be any of the emotions, keywords and the voice itself (sound data) identified from the voice, and similarly, the data related to the environmental sound around the participant may be used. , The type of the environmental sound identified from the environmental sound and the environmental sound itself (sound data) may be used. Further, the material data acquisition unit 21 acquires, for example, the date and time of the venue, the title of the venue, data on the participants, and the like from the venue providing device 9 as information on the holding of the online venue. Further, the material data acquisition unit 21, for example, collects data such as an individual participant's anniversary and the date and time of the event to participate as data stored in the participant terminal 8 by the participant. Obtained from terminal 8.

In the present embodiment, the material data acquisition unit 21 acquires both shared data and non-shared data as material data, but the present invention is not limited to this, and only one of the shared data and the non-shared data is acquired. It may be acquired as material data. Further, in addition to the material data (shared data and non-shared data) related to the place, the material data acquisition unit 21 can be used for generally known (disclosed) information such as calendar information such as holidays and current affairs information. Such data may be acquired as material data via the Internet.

Further, the material data acquisition unit 21 may acquire the material data from at least one of the participant terminal 8 and the place providing device 9. Further, the acquisition source of each data included in the material data is not uniquely limited. For example, the audio data of the participant, which is the material data, may be acquired from at least one of the participant terminal 8 or the place providing device 9 of the participant, and the acquisition source is appropriately selected according to the embodiment. (Setting) It is possible.

Further, the material data acquisition unit 21 always receives the material data from the participant terminal 8 or the like, but is not limited to this, and acquires the material data at an arbitrary timing such as every predetermined time. May be good. Further, the acquisition timing may be different depending on the type of material data. The material data acquisition unit 21 is, for example, an acoustic data acquisition unit that acquires data related to sound, a shared data acquisition unit that acquires shared data (other than data related to sound) shared by all participants in an online venue, and a shared data acquisition unit. The above-mentioned material data is provided by providing a non-shared data (personal data) acquisition unit for acquiring non-shared data owned only by a specific participant and a general data acquisition unit for acquiring data related to generally known information. May be obtained.

The attribute information generation unit 22 generates attribute information of the field (information representing the attributes of the field (meeting) itself and the participants belonging to the field) indicating the attributes of the online field based on the material data. The attribute information is information in which an attribute item and an attribute value (including text data) are associated with each other, and is generated by, for example, a metalanguage method (XML format or the like). The attribute item may be a preset item, or may be added, deleted, or changed automatically, as appropriate, manually or by extracting from the material data.

The attribute information generation unit 22 aggregates the information related to the field by extracting the information related to the field from various material data, and generates the aggregated information as the attribute information of the field. Further, the attribute information generation unit 22 may infer the field attribute from at least one of various material data or the generated attribute information, and include the information related to the estimated field attribute in the field attribute information. Further, the attribute information generation unit 22 updates the attribute information (attribute information database) so that the attribute information has the latest state based on the material data acquired by the material data acquisition unit 21. For example, the attribute information generation unit 22 generates (updates) the attribute information at an arbitrary timing such as the timing when the material data is acquired or every predetermined time. This makes it possible to provide participants with content and applications suitable for ever-changing situations.

Attribute information is generated, for example, when the venue schedule (holding information) is decided. Further, in the attribute information generation unit 22, for example, a participant who is provided with the content takes an action by referring to the content, a member (participant) of the place is added or deleted, and the participant talks. By changing (changing) the information related to the place such as (adding a pronounced keyword), the attribute value of each attribute item included in the attribute information is added, deleted, or updated at any time. For example, the attribute information generation unit 22 is based on the attribute information (attribute) based on the information (action information) related to the action performed by the participant who is provided with the content matching the attribute information by referring to the provided content. Information database) is updated.

The attribute information storage unit (attribute information database) 23 stores the attribute information generated by the attribute information generation unit 22. Further, when each information included in the attribute information is changed (added, deleted, updated) by the attribute information generation unit 22, the attribute information database is updated at any time.

FIG. 4 is a diagram showing an example of the structure of attribute information according to the present embodiment. As shown in FIG. 4, the attribute information includes public attribute information (public meta information) that can be disclosed to a plurality of participants belonging to the venue and private attribute information (personal meta information) that can be disclosed only to individual participants. including. The public attribute information is information that can be known to all members of the venue or information that can be known without any problem, and is information related to the entire venue. Private attribute information is information that is not disclosed in the venue, and is information related only to individuals participating in the venue. Public attribute information includes field-specific attribute information (field-specific information) and field-specific general information related to field-specific information (generally known (disclosed) information). including. The attribute information generation unit 22 generates public attribute information based on at least shared data among the material data, and generates private attribute information based on at least non-shared data among the material data.

The venue-specific information includes information on sounds generated in the online venue, information on venue holding information, and participant information (profile information, action information, etc.) that can be disclosed to multiple participants in the venue. The information about the sound generated in the field is, for example, at least one of a word contained in the voice of the participant in the field, the emotion of the participant based on the voice, or a type of environmental sound around the participant. For example, the attribute information generation unit 22 generates keywords (attribute values) generated in the field by extracting keywords (words) from the voices emitted by the participants in the online field. Further, the attribute information generation unit 22 generates the identified emotion as attribute information (attribute value) by identifying the participant's emotion from the voice emitted by the participant in the online place. In addition, the attribute information generation unit 22 identifies what kind of sound is heard from the environmental sounds around the participant (environmental sound type), thereby identifying the identified environmental sound type (environmental sound name, etc.). ) Is generated as attribute information (attribute value).

Various known methods may be used for the keyword extraction method, the emotion analysis method, and the environmental sound type identification method. For example, an acoustic identification technique such as an acoustic identification AI (artificial intelligence) technique may be used to identify emotions based on voice and to identify environmental sound types. The attribute information generation unit 22 may acquire keywords, identified emotions, and environmental sound types extracted from other information processing devices (including participant terminals) from the other information processing devices. good.

In the attribute information database, as the unique information of the place, for example, the start date and time of the place, the end date and time of the place, the title of the place, the list of constituent personnel, the list of constituent terminals (list of terminals participating in the place and their owners). , Grouping information, keyword history (history of keywords emitted in the field), emotion history (history of emotions identified based on the voice emitted in the field) and environmental sound information list (information on environmental sounds around participants) Etc. are memorized. The member list includes, for example, a person ID, name, nickname, age, gender, face photo, address, telephone number and presence / comment. The configuration terminal list includes, for example, a terminal ID, a terminal name, an OS type, a personnel ID, and the like. The grouping information is information about a group and a subgroup of a field, for example, a parent group ID list (a list of IDs (groups) of a group to which a group (subgroup) belongs) and a group ID (ID of a group (subgroup)). , Group name (group (subgroup) name), member list and group (subgroup) creation / disappearance history, etc. The keyword history includes, for example, a date and time, a generation terminal ID, a keyword, and sound data. The environmental sound information list includes, for example, a terminal ID indicating which terminal is the environmental sound information, a date and time of occurrence, a list of environmental sound types, and the like. The environmental sound type list includes, for example, an environmental sound ID, an environmental sound name, sound data, and the like.

The general information related to the place is general information related to the place extracted from the general information based on the attribute information of the place, for example, calendar information such as holidays related to the date and time of the place and what day is today. , Includes current affairs information related to the date and time of the venue, regional information near the participants' addresses, etc.

In the attribute information database, general information related to the field is stored in the additional information list as additional information of the field, for example. The additional information list includes, for example, the additional information type, the generated group (subgroup) ID, the additional information, and the date and time when the additional information is generated, and in addition to general information, the participant's action information (purchase history, etc.) and material data ( It may include information such as attribute information inferred from (attribute information).

As the inferred attribute information, for example, "purpose of the place" based on the attribute information ("member list" etc.) related to the participants of the place is exemplified. For example, if 90% or more of all the participants of the venue are of the same age, it is presumed that the purpose of the venue is "alumni association", and 90% or more of the participants use the same building as their place of residence (address). In that case, the purpose of the place is presumed to be "self-government association", and if the number of girls is 100%, the purpose of the place is presumed to be "women's association".

The private attribute information includes, for example, the participant's profile information (non-disclosure information), the information stored in the participant terminal 8 by the participant (image information (photograph, etc.), and personal calendar information (anniversary or death anniversary). It includes at least one of memorial information and schedule information, etc.) or memo information (shopping list, to do list, etc.).

The attribute information database stores, for example, personnel ID, name, nickname, age, gender, face photo, address, telephone number, presence / comment, personal additional information, etc. as private attribute information. The personal additional information includes, for example, an additional information type, additional information, and the like. The personal additional information includes, for example, information stored in the participant terminal 8 by the participant. By generating and updating the above-mentioned various attribute information in this way, it is possible to capture the atmosphere of the place and personal tastes and tastes, and it is possible to distribute content based on the atmosphere of the place and personal tastes and tastes. Will be. In addition, when acquiring non-shared data or generating private attribute information, an opt-in (intention to permit information provision) related to information provision of individual participants may be acquired in advance.

In the present embodiment, the attribute information includes, but is not limited to, public attribute information and private attribute information, and may include only one of public attribute information and private attribute information. .. Further, the public attribute information does not have to include general information. Further, the public attribute information (field-specific information, general information) and the information (attribute item) stored in the attribute information database as private attribute information are not limited to the above-mentioned information, and are also one of the above-mentioned information. It may include only a part. In addition, when generating attribute information, in consideration of privacy, by extracting (using) only keywords and emotions from the conversation, it is possible not to perform all recording or analysis of the conversation content. This makes it possible to extract (generate) attribute information while protecting privacy. Further, in consideration of privacy, the video may not be the material data (target for extracting the attribute information).

The topic data acquisition unit 24 acquires data related to the topic (content) that the participants in the online venue want to provide to the venue from each participant terminal 8, and the topic acquired from each participant is a topic that the participant wants to provide. Is stored (stored) in a topic table (topic list, etc.) in order to generate and update the topic table. For example, when the topic data acquisition unit 24 acquires data indicating "a new shop has been opened in the XY tower" as a topic to be provided to the venue from the participant A, the topic "XY tower" is displayed on the topic table. A new store has been opened inside. " When the topic data acquisition unit 24 stores the acquired topic in the topic table, the topic data acquisition unit 24 may store the topic in association with information (name, address, etc. of the participant) about the participant who provided the topic.

The content definition data storage unit 25 stores content definition data (table) that defines the relationship (correspondence) between the attribute information and the content. Specifically, in the content definition table, the relationship between the condition of one or a plurality of attribute information (condition by the attribute value corresponding to the attribute item) and the content (information related to the content) is defined. The content definition table includes, for example, a content type definition program that defines the relationship between the attribute information and the content type, and a content definition program that defines the relationship between the content type and the content. The content (information related to the content) defined in the content definition table may be not only the content (content itself) stored by the content storage unit 28, but also a content acquisition method, a content generation method, and the like.

FIG. 5 is a diagram showing an example of a content type definition structure (content type definition structure table) according to the present embodiment. The content type is a type (type) of content provided to the participants, for example, "school song", "purchase site", "current affairs information", "progress information", and the like. As shown in FIG. 5, for example, the content type definition structure includes "alumni association" in the title of the venue, or the purpose of the venue (estimated purpose, etc.) is "alumni association" and 60% or more. It is defined that the content type is "school song" when the participants live in the same area. Further, for example, when the "end date and time of the place" is within 30 minutes from the current time, it is defined that the content type is "progress information". In this way, the relationship between the attribute information (condition of the attribute information) and the content type is defined in the content type definition program. The content type may define specific processing contents performed by the information processing apparatus 1, such as "providing a school song to the place" and "sending information on the purchase site to the place". ..

FIG. 6 is a diagram showing an example of a content definition program (content definition program table) according to the present embodiment. The content is text data, music data, image data (still image, moving image), etc. related to the content type. As shown in FIG. 6, in the content definition program, for example, when the content type is "school song", the school (school name) is specified by the word in the title of the place or the keyword by the voice generated in the place. , It is defined that the music data found out is used as the content by searching the music data by the specified "school name" on the music site. Further, in the content definition program, for example, when the content type is "progress information", it is defined that the audio data "30 minutes until the end time" is used as the content. In this way, the relationship between the content type (condition of the content type) and the information related to the content is defined in the content definition program. When specifying the school name, the name extracted from the title of the place may be specified as the school name, or the table prepared in advance may be referred to based on the word in the title of the place. It may be specified by performing a Web search or the like.

The content definition table is not limited to the content type definition program and the content definition program described above, and the relationship between the attribute information and the information related to the content (content itself, content acquisition method, and content generation method) is defined. As long as it is, it may be a table that does not define the content type, and is not limited to a table composed of two definition programs. For example, the content definition table is a table (definition structure) that associates the comment keyword "lack of exercise", which is attribute information (attribute item, attribute value), with the content "radio calisthenics video" prepared in advance. You may. Further, in the content definition table, based on the intention of the EC business operator or the like (sponsor or the like), the product that the EC business operator or the like wants to recommend, the product of the topic, the content including the promotion, or the like may be defined. From this, the EC business operator can promote the sale of the product or the like that he / she wants to sell.

The content determination unit 26 determines the content that matches the attribute information based on the attribute information of the place. The content determination unit 26 determines the content that matches the attribute information by referring to the content definition table based on the attribute information of the field. The content determination unit 26 determines a content type that matches the attribute information, for example, by referring to the content type definition program based on the attribute information. Specifically, the content determination unit 26 determines each relationship between the attribute information and the content type (correspondence of each line in FIG. 5) stored in the content type definition program based on the attribute information of the generated field. Refer to it and determine the content type that corresponds to the condition that the generated attribute information matches as the content type that matches the attribute information.

Then, the content determination unit 26 determines the content that matches the attribute information by referring to the content definition program based on the determined content type. Specifically, the content determination unit 26 determines based on the determined content type by referring to each relationship between the content type and the content (correspondence of each line in FIG. 6) stored in the content definition program. The content corresponding to the condition that the specified content type matches is determined as the content that matches the attribute information. The content determination unit 26 may include a content generation unit 26A.

The content generation unit 26A uses the content (content prepared in advance) stored in the storage device 14 in advance, the external content acquired by the content acquisition unit 27, the attribute information, and the like, and the content that matches the attribute information. To generate. For example, the content generation unit 26A obtains the content of conversation in the place during the holding of the place based on the attribute information (attribute value corresponding to the attribute item) related to the sound generated in the place such as keywords, emotions, and environmental sound types. Generate summarized record information (minutes of the venue). The content determination unit 26 may determine content that matches the attribute information from the content and external content stored in the storage device 14 in advance, and may determine the content generated by the content generation unit 26A based on the attribute information. , It may be determined as the content that matches the attribute information.

The content determination unit 26 may generate content according to the content provider (all participants, individual participants, groups (subgroups)). For example, the content determination unit 26 determines content for all participants based on public attribute information. Further, for example, the content determination unit 26 determines the content for the individual participant related to the private attribute information based on the private attribute information. Further, for example, the content determination unit 26 has content (group (subgroup)) for the group (subgroup) based on the attribute information and the grouping information related to the group (subgroup) generated by the group generation unit 35. Content that matches the attribute information related to) is determined. Specifically, the content determination unit 26 determines only the public attribute information related to the subgroup A (for example, the subgroup) from the public attribute information based on the grouping information (for example, the member list) related to the subgroup A. The content to be provided to the subgroup A is determined based on the public attribute information related to the extracted subgroup A by extracting the remark keywords of the group members (participants) of the A.

In addition, in order to make it possible to identify the content for all participants, the content for groups (subgroups) such as groups A and B, and the content for individuals, the determined content is the destination of the group ID and the like. May be stored in association with identifiable information. For example, the content for all the participants is stored in association with the group ID "0". The content for individuals may be stored in association with the participant ID instead of the group ID. Further, in the present embodiment, the content for all the participants is determined based on the public attribute information, but the content is not limited to this, and in addition to the public attribute information after obtaining the consent of the participants. , Content for all participants may be determined based on private attribute information such as personal profile information of participants that is not disclosed to others. Similarly, content provided only to individual participants may be determined based on public attribute information in addition to private attribute information. Further, the AI may determine the content that matches the attribute information.

The contents include various information such as information on the site where the product or service is provided (information on the EC site, etc.), information on music (including sound data), image information such as photos and videos, trivia information, current affairs information (news information), etc. Specific examples of information (text data, audio data, image data, etc.) that match the attribute information (content provided to participants) determined by the content determination unit 26 are shown below.

<Specific content example (1)>
In this specific example, an example in which the content is determined based on the common information of the participants in the venue is shown. Specifically, the case where the purpose of the place is presumed to be "alumni association" by the attribute information generation unit 22 and most of the participants are based in the same area (location) will be illustrated. The content determination unit 26 refers to the content type definition structure shown in FIG. 5 based on the attribute information (attribute value related to the "purpose of the place" and the "area (address) to which the participant belongs"). The type of content to be provided to the venue is determined to be "school song (providing school song)". Then, the content determination unit 26 refers to the content definition structure shown in FIG. 6 based on the content type “school song”, and the music data (school song) searched for on the music site based on the school name “ABC Gakuen”. ) Is determined as the content to be provided to the participants (content that matches the attribute information). In this way, it is possible to provide the participants with content that matches the information inferred from the information related to the place.

<Specific content example (2)>
In this specific example, an example in which the content is determined based on general information known to all the participants (or a large number of participants) of the venue is shown. Specifically, the case where the venue is held on January 1st will be illustrated. The attribute information generation unit 22 extracts (generates) "New Year", which is a Japanese event, as general information (attribute information) that is additional information of the field from the material data, and the content determination unit 26 extracts (generates) the attribute information (attribute). Value) Based on "New Year", music suitable for the New Year and its music information (related information such as song title and origin) are determined as contents to be provided to participants. In addition, guidance to the EC site together with the music content so that information related to the EC site for purchasing music distribution content and CD (such as the URL of the EC site) is provided together with the music content. The information relating to the above may be determined as the content to be provided to the participants. Further, instead of providing music content (sound data) based on attribute information, information on a site where music content can be viewed or purchased may be provided. In this way, it is possible to provide the participants with content that matches the general information related to the venue.

<Specific content example (3)>
In this specific example, an example in which the content is determined based on the keywords generated in the place (keywords included in the voices of the participants) is shown. Specifically, the case where the keyword "insufficient exercise" is included in the voice generated by the participants in the field will be illustrated. The attribute information generation unit 22 extracts (generates) "insufficient exercise" as keyword information (attribute information) that is field-specific information from the material data, and the content determination unit 26 uses the attribute information "insufficient exercise". Based on this, the video content of the radio exercise is determined as the content to be provided to the participants. In addition, so that the information related to the EC site for purchasing sportswear is provided together with the video content, the information related to the guidance to the EC site is provided to the participants together with the video content. It may be determined as content. In addition, as the keywords generated in the field, "infected person", "telework", "kijoshu" and the like are exemplified. In this way, it is possible to provide participants with content that matches the information (keywords) related to the venue.

<Specific content example (4)>
In this specific example, an example in which the content is determined based on the environmental sound generated in the field (environmental sound around the participant) is shown. Specifically, the case where there is a construction noise around the participants will be illustrated. The attribute information generation unit 22 extracts (generates) "construction sound" as an environmental sound type (attribute information) that is information unique to the field from the material data, and the content determination unit 26 extracts (generates) the attribute information (attribute value). Based on the "construction sound", trivia information such as "why there is so much construction in March" is decided as the content to be provided to the participants. In addition, along with the trivia information, information related to guidance to the EC site will participate so that information related to the EC site for purchasing soundproofing services and soundproof goods will be provided together with the trivia information. It may be determined as the content to be provided to the person. Examples of the types of environmental sounds include parakeet voices, children's voices, ambulance sounds, airplane sounds, and Hibari broadcast (disaster prevention broadcast radio) sounds. In this way, it is possible to provide the participants with content that matches the information related to the place (environmental sounds of the participants (sounds of the participants' houses)).

<Specific content example (5)>
In this specific example, an example is shown in which the content for performing time management for the place or the participants of the place is determined based on the attribute information related to the time. The content determination unit 26 manages the time such as "It's about time for the meeting to end" based on the information of the "scheduled end time of the place" and the current time, which are the attribute information (attribute value) unique to the place. Determine the content as the content to be provided to the participants. By using not only the time information related to the place such as the scheduled end time of the place, but also the personal schedule (calendar information) of each participant, "Mr. A has the next schedule, so it is time to leave the place. , Etc. may be determined as the content to be provided to the participants (participant A or all participants). In this way, it is possible to automatically control the time of the place or the participants of the place by using the information related to the place (information about the time) (virtual moderator function).

In connection with the above virtual moderator, the information processing apparatus 1 receives data related to the intention to participate (continuation intention) such as wanting to participate in the venue from the participants when the scheduled end time of the venue is approaching. As a result, it may be provided with a functional unit (time extension unit) that executes processing such as extending the end time of the venue or instructing the venue providing device 9 to provide another online venue. ..

<Specific content example (6)>
This specific example shows an example in which the content for intervening in the flow of conversation in the field (controlling the flow of the field) is determined based on the attribute information (example of content related to facilitation, virtual moderator, and secretary). .. By providing participants with content to intervene in the flow of conversation, it is possible to revitalize the place, eliminate bias in speech, and provide each participant with a fun time (creation of a fun place). .. In addition, since it is possible to provide content for intervening in the flow of conversation, it is possible to provide an automatic moderator at a party such as a wedding party.

<Specific content example (6-1)>
In this specific example, based on the attribute information (attribute item, attribute value) related to the state of speech of the participants in the field, information for encouraging or restricting the participants in the field to speak is added to the flow of conversation. An example of determining the content to intervene is shown. The attribute information generation unit 22 generates the voice occurrence frequency of each participant as attribute information (attribute item, attribute value), and the content determination unit 26 is based on the voice occurrence frequency of the attribute information (attribute value). , "Mr. A, would you like to speak?", "Mr. B, there are many remarks", etc., to determine the information to encourage or limit the remarks as the content to be provided to the participants. The information for encouraging or restricting speech is, for example, text data or voice data. In addition, the information indicating the speaking ratio is determined as the content to be provided to the participants together with the information prompting the speaking so that the text data or the graph indicating the speaking ratio is provided together with the information prompting the speaking. You may.

<Specific content example (6-2)>
In this specific example, an example is shown in which a topic that matches the attribute information is determined as content that intervenes in the flow of conversation based on the topic that the participant wants to provide to the place and the place attribute information. The content determination unit 26 determines a topic that matches the attribute information by referring to the topic table based on the attribute information, and determines the determined topic as the content to be provided to the participants. For example, if "XY Tower" is included in the attribute value of the attribute item "Keyword (issued in the field)", the content determination unit 26 can create a new shop in the topic "XY Tower" from the topic table. "What" is decided (selected).

<Specific example of contents (6-3)>
In this specific example, an example is shown in which recorded information (minutes, etc.) indicating the contents of the place is determined as content that intervenes in the flow of conversation based on the attribute information. In the content determination unit 26, for example, based on the attribute information (attribute values of the attribute items "start date and time of the place" and "end date and time of the place"), the place (meeting such as a meeting) is held for a holding time (for example, 2 hours). By determining that half of) has passed, the recorded information (minutes) summarizing the contents of the conversation in the place is determined as the content to be provided to the participants. The minutes will be provided to the participants at any time during the event. In addition, the minutes may be not only text data but also graphics such as pictures and figures generated by graphic recording, and characteristic emotions generated in the place, keywords generated, etc. are aggregated (merged). It may be multimedia content. The recorded information may be generated and provided after the place (place meeting) is completed.

<Specific example of contents (6-4)>
In this specific example, when a participant's emotion is a specific emotion based on attribute information (keywords, emotions, etc.), the content corresponding to the specific emotion is determined as the content that intervenes in the flow of conversation. Is shown. The content determination unit 26 determines, for example, content for arousing a participant's emotions other than the specific emotion when the participant's emotion is a specific emotion. Specifically, the content determination unit 26 detects the atmosphere of the place based on the emotions identified by the voices of the participants, and determines that the atmosphere of the place is bad (the emotions are negative), the atmosphere of the place is changed. Determine content that will improve (feel positive). Content that improves the atmosphere of the place is, for example, text that randomly connects keywords generated in the place, images of puppies that are not related to the place, and the like. For example, the keywords "Mr. A", "Chestnut tree", and "Golf" that occurred immediately before are linked non-intelligently, and "Mr. A" seems to play "golf" with "Chestnut tree". " By doing so, it is possible to provide the participants with information on the blurred content, and it is possible to soften the place.

<Specific content example (7)>
In this specific example, an example in which the content is determined based on the private attribute information is shown. Specifically, the case where the wedding anniversary of Participant A is close to the date of the event will be illustrated. From the material data, the attribute information generation unit 22 provides information related to the wedding anniversary (information indicating that "wedding anniversary is near" or anniversary) as personal additional information (memorial information) included in the private attribute information. Extract (generate) the date, etc.). Then, the content determination unit 26 provides only the participant A with the information related to the wedding anniversary (“Tomorrow is the wedding anniversary”, etc.) based on the information related to the wedding anniversary which is the attribute information (attribute value). Determine as the content to be.

Further, as another example in which the content is determined based on the private attribute information, an example in which the content is determined based on the memo information of the participant A is shown. Specifically, a case where the participant A stores a memo such as "there is no liquor in stock" in the participant terminal 8 will be illustrated. The attribute information generation unit 22 extracts (generates) information indicating that there is no liquor stock (stock) as personal additional information (memo information) included in the private attribute information from the material data. Then, the content determination unit 26 provides information indicating that the liquor is out of stock only to the participant A based on the information indicating that the liquor is out of stock, which is the attribute information (attribute value). decide. As in this specific example, the content that matches the attribute information may be the attribute information (attribute value) itself.

In addition to the information indicating that the liquor is out of stock, the information on the EC site is also provided to Participant A so that the information on the EC site where the liquor can be purchased can be provided to the participants. It may be determined as the content to be used. Other examples of personal additional information include "mother's death anniversary" and "planned to visit the kuramoto soon". In this way, it is possible to provide the participants with content that matches the private attribute information.

The content acquisition unit 27 acquires the content. The content acquisition unit 27 acquires content determined by the content determination unit 26 as content that matches the attribute information via the storage device 14 or a communication network (Internet, etc.). For example, the content acquisition unit 27 acquires external content, which is the content to be provided to the participants, via the communication unit during the holding of the venue. External content is content linked from the Internet or intranet, and is, for example, information posted on SNS (social networking service), current affairs information (news information), EC (electronic commerce) information (EC site URL). , EC site name, etc.), and music data sold on music purchase sites, etc. Further, the content acquisition unit 27 acquires, for example, the content (internal content) stored in the storage device 14 and prepared in advance for providing to the participants from the storage device 14.

The content acquisition unit 27, for example, is determined by the content determination unit 26, based on the content acquisition method related to the school song of MM Gakuen (the method shown in the first line of the content definition structure in FIG. 6), via a network. , MM Acquires music content related to school songs of MM Gakuen. Further, the content acquisition unit 27 stores, for example, audio data (second line of the content definition program in FIG. 6) of "30 minutes until the end time", which is the content determined by the content determination unit 26. Obtained from 14. The content acquisition unit 27 may acquire various contents in advance via the communication unit before the venue is held.

The content storage unit 28 stores the content (text data, music data, image data, etc.) provided to the participants. The content storage unit 28 includes contents (internal contents) prepared (acquired and generated) in advance as contents to be provided to participants, external contents acquired during the holding of the venue, contents generated during the holding of the venue, and the like. Remember. The content storage unit 28 is determined by the content determination unit 26 as the content to be provided to the participants, and the content acquired by the content acquisition unit 27 is stored in association with information such as a group ID that can identify the provider. You may try to do it.

The application determination unit 29 determines an application (gadget) useful for the field that matches the attribute information of the field based on the attribute information of the field. Specifically, the application determination unit 29 determines an application for intervening in the flow of conversation in the field, which matches the attribute information. The application determination unit 29 determines, for example, an application (gadget such as a questionnaire function and a whiteboard function) for collecting opinions of participants in the field.

The provider control unit 30 controls the content determined by the content determination unit 26 and the application provider determined by the application determination unit 29. The provider control unit 30 controls to set the provider of the content determined by the content determination unit 26 as the content for the entire venue to all the participants in the venue. Further, the provision destination control unit 30 sets the provision destination of the content (content matching the attribute information related to the group (subgroup)) determined as the content for the group (subgroup) based on the grouping information to the group. Control to set to (subgroup) participants. Further, the provision destination control unit 30 controls to set the provision destination of the content generated for a specific participant based on the private attribute information to the specific participant.

For example, the provider control unit 30 may control the provider based on the provider identification information such as the group ID associated with the determined content. For example, when the group ID associated with the content is "0", the content is provided to all the participants. In addition, when the group ID associated with the content is a number, symbol, character, etc. that is not "0" (in the case of a group ID related to a group (subgroup), etc.), refer to the grouping information based on the group ID. Then, the participant information (participant name, etc.) belonging to the group (subgroup) related to the group ID is acquired, and the participant is set as the content provision destination. The provision destination control unit 30 controls to provide the content related to the generated group (subgroup) to the group (subgroup), but stochastically, the content is to another group (subgroup). It may be controlled to provide.

Further, the provision destination control unit 30 may manage (store) the provision history (delivery history) of the content and the application. The provider control unit 30 manages the provided content, the participant information of the provider (group ID, participant name, participant ID, etc.) in association with each other, for example.

The providing unit 31 provides the content determined by the content determining unit 26 and the application determined by the application determining unit 29 to one or more participants in the venue. The providing unit 31 provides the determined content and application to the participant who is the providing destination set by the providing destination control unit 30 during the holding of the online venue. The providing unit 31 may directly provide (transmit) the content or the like to each terminal of the participants of the place, or by transmitting the content or the like to the place providing device 9, the place providing device 9 may be provided. Content and the like may be indirectly provided to the participants via the above.

For example, the providing unit 31 provides content that matches the public attribute information to at least two or more participants in the venue. As a result, content that matches the attribute information of the venue (content suitable for the venue) can be shared among the participants of the venue, so it is possible to liven up the venue and enhance the content of the conversation. Is. In addition, by sharing content suitable for the venue (such as a purchase site for goods) among participants, it is possible to promote the sale of products and services at the venue, increasing the enjoyment of the venue for the participants. At the same time, it is possible to increase the satisfaction level of the provider of the product or service (EC business operator, etc.), such as having the product purchased.
Further, the providing unit 31 provides, for example, content that matches the private attribute information to the participants related to the private attribute information (participants from whom the material data based on the private attribute information is acquired). ..

The action information acquisition unit 32 is information (action information) indicating the content related to the action performed by the participant who is provided with the content matching the attribute information by referring to (viewing, viewing, etc.) the provided content. To get. The action information acquisition unit 32 acquires action information from, for example, the terminal 8 of the participant who performed the action or the place providing device 9. The action information includes, for example, information related to the voice emitted by the participant who referred to the content (emotion, keyword, etc.), information related to the surrounding environmental sound of the participant due to the action, purchase information, and addition of the event calendar. Information such as information related to matters.

The action information acquisition unit 32 is, for example, when a participant who is provided with content matching the attribute information purchases a product or service by referring to the provided content, the information related to the purchase (purchase information). ) Is acquired as action information (corresponding to "purchase information acquisition means"). The purchase information includes the name of the product or service, the price, the product number, and information related to the purchased site.

The action information sharing unit 33 provides information (action information) related to an action performed by a participant who has been provided with content matching the attribute information by referring to the provided content, and the participant who has performed the action. Provide to other participants who are different from. For example, when the participant A purchases the product M by referring to the provided content (information on the EC site), the action information sharing unit 33 indicates that the participant A has purchased the product M. (Ordered information) is provided to other participants B to D. From this, it is possible to promote the sale of the products purchased by the participants at the venue.

In addition, the action information sharing unit 33 performs a process of obtaining permission for the participant A who has performed an action such as purchasing a product to provide action information such as purchase information to other participants, and then performs a process. Action information may be provided to other participants. Further, the action information sharing unit 33 may directly provide the action information to each terminal of the participants of the place, or provide the action information to the place providing device 9 to provide the place providing device 9. Action information may be indirectly provided to the participants via the system.

Based on the purchase information acquired by the action information acquisition unit 32, the gift processing unit 34 provides the same product or service as the purchased product or service to other participants different from the participant who made the purchase. Execute the provided process. For example, when the participant A purchases the product M by referring to the provided content (information on the EC site), the gift processing unit 34 provides purchase information indicating that the participant A has purchased the product M. Based on this, the process of providing the product M to the other participants B to D (purchase process of the product M, transmission of the product M to the participants B to D, shipping process, etc.) is executed. At this time, by using the member list (attribute information), the manual input process regarding the destination such as the address and the e-mail address to be input at the time of purchase becomes unnecessary, and the purchase process can be simplified.

The group generation unit 35 groups one or more pieces of information included in the attribute information in real time, with participants having similar information as one group (subgroup). For example, the group generation unit 35 selects participants who have similar information about the participants' emotions, addresses (regions), environmental sounds, reaction types (sensitivity), text property information, etc. included in the attribute information. Judgment and grouping are performed. For grouping, various known methods such as AI for determining similarity and a similarity dictionary may be used. Further, the group generation unit 35 may generate a plurality of groups and subgroups. It is also possible to group participants into multiple groups. Further, the group generation unit 35 may generate each subgroup so as to belong to one group, or may generate so as to belong to a plurality of groups.

<Processing flow>
Next, the flow of processing executed by the information processing apparatus 1 according to the present embodiment will be described. The specific contents and processing order of the processing described below are examples for carrying out the present disclosure. The specific processing content and processing order may be appropriately selected according to the embodiment of the present disclosure.

FIG. 7 is a flowchart showing an outline of the flow of the content provision process according to the present embodiment. The process shown in this flowchart is executed when the material data transmitted by the plurality of participant terminals 8 and the place providing device 9 is received.

In step S101, material data is acquired. The material data acquisition unit 21 acquires the material data transmitted by the plurality of participant terminals 8 and the place providing device 9. After that, the process proceeds to step S102.

In step S102, attribute information is generated (updated). The attribute information generation unit 22 generates field attribute information based on the material data acquired in step S101. The attribute information generation unit 22 aggregates the information related to the field by extracting or inferring the information related to the field from various material data, and generates the aggregated information as the attribute information of the field. For example, the attribute information generation unit 22 extracts "MM Gakuen Alumni Association" as the title of the venue from the data (material data) related to the event information of the venue, and the attribute item "title of the venue" and the extracted attribute value " Generate information (attribute information) associated with "MM Gakuen Alumni Association".

Further, for example, the attribute information generation unit 22 sets the purpose of the place as "women's association" because all the participants are women based on the attribute information (member list) or the material data related to the profile of the participants. Estimate and generate information (attribute information) that associates the attribute item "purpose of the field" with the inferred attribute value "women's association". Further, for example, the attribute information generation unit 22 extracts the address of each participant from the material data related to the profile of the participant, and extracts the attribute item "address" included in the member list and the attribute value. Generate information (attribute information) associated with the address of each participant. In step S102, the attribute information storage unit 23 stores the generated attribute information. After that, the process proceeds to step S103.

In step S103, the content is determined based on the attribute information. The content determination unit 26 determines the content (content to be provided to the participants in the field) that matches the attribute information by referring to the content definition table based on the attribute information generated in step S102. For example, it corresponds to the attribute value "MM Gakuen Alumni Association" corresponding to the attribute item "place title", the attribute value "women's association" corresponding to the attribute item "purpose of the place", and the attribute item "address", which are attribute information. By referring to the content definition table based on the address of each participant, it is decided that the information (sound data, lyrics information, etc.) related to the school song of MM Gakuen will be the content to be provided to the participants. The details of the content determination process in step S103 will be described later. After that, the process proceeds to step S104.

In step S104, the content is acquired. The content acquisition unit 27 acquires the content determined in step S103 via the storage device 14 or a communication network (Internet or the like). The content acquisition unit 27, for example, based on the content acquisition method related to the school song of MM Gakuen (the method shown in the first line of the content definition structure in FIG. 6), the information related to the school song of MM Gakuen via the communication network. (Sound data, lyrics information, etc.) is acquired. In step S105, the content storage unit 28 may store the content acquired by the content acquisition unit 27 in association with identifiable information such as a group ID. After that, the process proceeds to step S105.

In step S105, the content provision destination is determined. The provider control unit 30 controls the provider of the content determined in step S104 (content acquired in step S105). The provider control unit 30 obtains information related to the participant corresponding to the group ID by referring to the grouping information based on the group ID (or participant ID) associated with the content, for example, and participates in the content. Is determined as a participant to whom the content is provided. For example, when the group ID "0" is associated with the information related to the school song of the MM school acquired in step S104, the provider control unit 30 can refer to the grouping information based on the group ID "0". , Acquires the participant information (“all participants”) associated with the group ID “0”, and determines that the content is provided to “all participants”. After that, the process proceeds to step S106.

Content is provided in step S106. The providing unit 31 provides the content acquired in step S104 (content determined in step S103) to the providing destination determined in step S105. The providing unit 31 may directly provide the content to each terminal of the participants of the venue, or by providing the content to the venue providing device 9, indirectly via the venue providing device 9. Content and the like may be provided to the participants. After that, the process proceeds to step S107.

In step S107, it is determined whether or not the material data has been received. The material data acquisition unit 21 determines whether or not other (new) material data transmitted by the plurality of participant terminals 8 and the place providing device 9 has been received. When the material data is received (step S107: YES), the process returns to the process of step S101, and the process of this flowchart is repeatedly executed. On the other hand, when the material data is not received, that is, when the field ends (step S107: NO), the process shown in this flowchart ends.

FIG. 8 is a flowchart showing an outline of the flow of the content determination process according to the present embodiment. The process shown in this flowchart is executed when the attribute information is generated (updated).

In step S1031, the content type is determined. The content determination unit 26 determines a content type that matches the attribute information by referring to the content type definition program based on the generated (updated) attribute information. For example, the content determination unit 26 has the attribute value "MM Gakuen Alumni Association" corresponding to the attribute item "place title" and the attribute value "purpose" corresponding to the attribute item "purpose of the place", which is the attribute information generated in step S102. Refer to the content type definition program shown in FIG. 5 based on the address of each participant corresponding to the "women's association" and the attribute item "address". When the content determination unit 26 determines that 60% or more of all participants are in the same area based on the address of each participant, which is the attribute value of the attribute item "address", the content type definition in FIG. 5 Based on the body, the content type that matches the attribute information is determined as "school song". After that, the process proceeds to step S1032.

In step S1032, the content is determined. The content determination unit 26 determines the content (content content, content acquisition method, content generation method) that matches the attribute information by referring to the content definition program based on the determined content type. For example, the content determination unit 26 refers to the content definition program shown in FIG. 6 based on the content type “school song” determined in step S1031. Specifically, the content determination unit 26 is searched for by setting the search word to the school name "MM school" on the music site based on the content acquisition method corresponding to the content type "school song" shown in FIG. Music data and the like are determined as content that matches the attribute information. After that, the process shown in this flowchart ends.

In the flowcharts shown in FIGS. 7 and 8, the attribute information is generated (updated) by acquiring the material data, and the content is determined and provided by the attribute information being generated (updated). However, the present invention is not limited to this, and for example, the content determination process and the content provision process may be executed at set timings (at predetermined time intervals).

More specifically, when the attribute information (attribute value related to the attribute item) is added or updated, the content to be delivered may be determined in advance based on the added or updated attribute information. At a set timing (constant timing, etc.), the content to be distributed may be determined and distributed based on arbitrary attribute information (attribute information about preset attribute items, etc.). For example, the content for subgroups includes the timing when the subgroup is generated (generated), the timing when the attributes related to the participants of the subgroup (addition of the speaking keyword, etc.) are changed, and the fixed time after the subgroup is generated. It may be determined and delivered at a timing such as timing.

As described above, according to the system according to the present embodiment, a plurality of participants who are distant from each other participate in content that matches the attribute information of the place where they have a conversation using at least voice communication via a communication network. By providing it to people, it is possible to provide content suitable for online communication, and it is possible to enhance the place. More specifically, even if the flow of the story on the spot stops, the story goes in an unfavorable direction, or the content of the story is not interesting, the content that matches the atmosphere of the place is available. By being provided, it will be possible to increase the enjoyment of online communication, such as smooth communication and never getting tired of the place. In addition, by delivering appropriate content to the venue, it is possible to change the topic when the venue calms down or when the venue becomes too lively.

In addition, in places such as offline drinking parties (places where people gather in physically the same place), the sales of food and drink can be promoted by the provider of the place such as a restaurant intervening in the place. However, in the online venue, since the provider of the venue is the provider of the Web conferencing system or the like, it is difficult for the provider of the venue to provide food and drink. However, according to the system according to this embodiment, by coordinating with the EC site owned by the EC business operator and providing the participants with the information of the EC site that matches the attribute information (atmosphere, etc.) of the place. , Food and drink, goods, services, etc. can be promoted. As a result, the EC business operator can recommend the product to be sold according to the atmosphere of the place, so that it is possible to promote the product without being overwhelmed. In addition, compared to the case where a participant uses the EC site alone, it can be expected that the participants will buy products according to the atmosphere and flow of the place, and that the EC site will be made known to people who do not know its existence. Since it is expected that the number of sales will increase, it is possible to improve the satisfaction level of the EC business operator.

Furthermore, for participants (users), it is possible to obtain information on products that match the atmosphere of the place and products that are talked about. In addition, participants can purchase (order) products, etc. by using the information on the provided EC site, such as being able to browse the product purchase site simply by clicking the URL of the provided EC site. You can minimize the time and effort of inputting. Further, by minimizing the time and effort of this input, it becomes possible to perform the purchase process and the like without interrupting the conversation. Therefore, participants can also place orders for food delivery, which is the food and drink they want immediately, even during conversation.

In addition, according to the system according to this embodiment, it is possible to acquire information (contents) such as "Tomorrow is a wedding anniversary" based on the memorial information etc. stored in the individual terminal of each participant. Therefore, it is possible to remember anniversaries and event days in the conversation at the venue. Participants who have acquired personal content such as anniversaries can determine whether or not to provide the content as a topic to the venue, and also provide (speak) the personal content to the venue. Therefore, it is possible to enrich the atmosphere of the place.

1 Information processing device 21 Material data acquisition unit 22 Attribute information generation unit 23 Attribute information storage unit 24 Topic data acquisition unit 25 Content definition data storage unit 26 Content determination unit 27 Content acquisition unit 28 Content storage unit 29 Application determination unit 30 Provider control Department 31 Providing Department 32 Action Information Acquisition Department 33 Action Information Sharing Department 34 Gift Processing Department 35 Group Generation Department

Claims

An attribute information generation means for generating attribute information of a place indicating the attributes of a place where a plurality of participants who are far from each other have a conversation using at least voice communication via a communication network.
A content determination means for determining content that matches the attribute information based on the attribute information in the field, and
Providing means for providing the determined content to one or more participants in the venue, and
An information processing device equipped with.
The providing means transmits the content to each terminal of one or more participants in the field, or to at least one of the devices that provide the field by connecting the participants in the field to each other via a communication network. By doing so, the content is provided to one or more participants in the venue.
The information processing apparatus according to claim 1.
The providing means provides the content to one or more participants of the venue during the venue.
The information processing apparatus according to claim 1 or 2.
The attribute information includes at least one of public attribute information that can be disclosed to the plurality of participants or private attribute information that can be disclosed only to individual participants.
The information processing apparatus according to any one of claims 1 to 3.
The attribute information generation means generates attribute information including the public attribute information,
The content determining means determines content that matches the public attribute information based on the attribute information including the public attribute information.
The providing means provides content matching the public attribute information to at least two or more participants in the venue.
The information processing apparatus according to claim 4.
The attribute information generation means generates attribute information including the private attribute information,
The content determining means determines content that matches the private attribute information based on the attribute information including the private attribute information.
The providing means provides the content matching the private attribute information only to the participants related to the private attribute information.
The information processing apparatus according to claim 4 or 5.
The public attribute information includes attribute information unique to the field.
The information processing apparatus according to any one of claims 4 to 5.
The public attribute information further includes general information that is not unique to the field and is related to the attribute information that is unique to the field.
The information processing apparatus according to claim 7.
The attribute information unique to the place includes information on the sound generated in the place, information on the holding information of the place, or participant information that can be disclosed to a plurality of participants in the place.
The information processing apparatus according to claim 7.
The information about the sound generated in the field includes at least one of a word contained in the voice of the participant in the field, the emotion of the participant based on the voice, or a type of environmental sound around the participant.
The information processing apparatus according to claim 9.
The private attribute information includes at least one of the participant's profile information, image information, calendar information, or memo information.
The information processing apparatus according to any one of claims 4 to 6.
Material data including at least one of the shared data shared by all the participants in the venue or the non-shared data owned only by a specific participant in the venue is stored in the terminals of the participants belonging to the venue or among the participants in the venue. Further provided with material data acquisition means to acquire from at least one of the devices providing the field by connecting the data via a communication network.
The attribute information generation means executes at least one of a process of generating the public attribute information based on the shared data and a process of generating the private attribute information based on the non-shared data.
The information processing apparatus according to claim 4.
Further provided with a content definition data storage means for storing content definition data that defines the relationship between the attribute information and the content.
The content determining means determines content that matches the attribute information of the field by referring to the content definition data based on the generated attribute information.
The information processing apparatus according to any one of claims 1 to 12.
The content definition data includes a content type definition structure that defines the relationship between the attribute information and the content type, and a content definition structure that defines the relationship between the content type and the content.
The content determining means determines a content type that matches the attribute information by referring to the content type definition structure based on the generated attribute information, and refers to the content definition structure based on the determined content type. By doing so, the content that matches the attribute information is determined.
The information processing apparatus according to claim 13.
An action information acquisition means for acquiring action information indicating the content related to an action performed by a participant in the field by referring to the provided content, and an action information acquisition means.
Further provided with an action information sharing means for providing the acquired action information to a participant different from the participant who performed the action.
The information processing apparatus according to any one of claims 1 to 14.
A purchase information acquisition means for acquiring information related to the purchase when a participant of the venue purchases a product or service by referring to the provided content.
A gift processing means that executes a process of providing a product or service similar to the purchased product or service to another participant different from the participant who made the purchase based on the acquired purchase information. , Further prepare,
The information processing apparatus according to any one of claims 1 to 15.
The content determining means determines the content for performing time management for the place or the participants of the place as the content matching the attribute information of the place based on the information related to the time among the attribute information.
The information processing apparatus according to any one of claims 1 to 16.
Based on the attribute information, the content determining means determines the content for intervening in the flow of the conversation in the field as the content matching the attribute information in the field.
The information processing apparatus according to any one of claims 1 to 17.
The content determining means provides information for encouraging or restricting the participants in the field to speak based on the information related to the state of speech of the participants in the field among the attribute information, in the flow of the conversation. Determined as content to intervene in
The information processing apparatus according to claim 18.
Further equipped with a topic data acquisition means for acquiring data related to the topic that the participant wants to provide to the venue.
The content determining means determines a topic that matches the attribute information of the place as content that intervenes in the flow of the conversation, based on the data related to the topic and the attribute information.
The information processing apparatus according to claim 18.
The attribute information includes information about the sound generated in the field.
The content determining means generates recorded information indicating the content of the field based on the attribute information including at least information about the sound generated in the field, and determines the recorded information as content that intervenes in the flow of the conversation. ,
The information processing apparatus according to claim 18.
When the emotion of the participant based on the voice of the participant belonging to the place is a specific emotion, the content determining means determines the content corresponding to the specific emotion as the content that intervenes in the flow of the conversation. ,
The information processing apparatus according to claim 18.
The content corresponding to the specific emotion is content for evoking emotions other than the specific emotion to the participant.
The information processing apparatus according to claim 22.
Further provided with an application determining means for determining an application for intervening in the flow of conversation in the field, based on the attribute information, which matches the attribute information.
The providing means provides the determined application to one or more participants in the field.
The information processing apparatus according to any one of claims 1 to 23.
The application that matches the attribute information of the field is an application for collecting the opinions of the participants of the field.
The information processing apparatus according to claim 24.
The content is information about a site for providing a product or service that matches the attribute information of the place.
The information processing apparatus according to any one of claims 1 to 25.
The content is current affairs information that matches the attribute information of the place.
The information processing apparatus according to any one of claims 1 to 26.
Further provided is a group generation means for grouping one or more pieces of information included in the attribute information in real time, with the participants having information similar to each other as one group.
The information processing apparatus according to any one of claims 1 to 27.
The attribute information generation means generates grouping information which is information about a group generated by the group generation means.
The content determining means determines content that matches the attribute information related to the group based on the attribute information and the grouping information.
Further provided with a destination control means for controlling the provision destination of the content matching the attribute information related to the group to the participants of the group based on the grouping information.
The information processing apparatus according to claim 28.
The material data acquisition means acquires the material data constantly or periodically, and obtains the material data.
The attribute information generation means updates the attribute information based on the material data constantly or periodically acquired by the material data acquisition means.
The information processing apparatus according to claim 12.
The computer
An attribute information generation step that generates attribute information of a place indicating the attributes of a place where multiple participants who are far from each other have a conversation using at least voice communication via a communication network.
A content determination step for determining content that matches the attribute information based on the attribute information in the field, and
A provision step of providing the determined content to one or more participants in the venue, and
How to run.
Computer,
An attribute information generation means for generating attribute information of a place indicating the attributes of a place where a plurality of participants who are far from each other have a conversation using at least voice communication via a communication network.
A content determination means for determining content that matches the attribute information of the field based on the attribute information of the field, and
Providing means for providing the determined content to one or more participants in the venue, and
A program to function as.