JP2014071711A - Understanding support method and system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To enable a user being an information receiver to easily understand a degree of an event, in consideration of knowledge of the user.SOLUTION: When an event, a representation of its degree, a quantitative value of the degree, a transmitter ID, and a receiver ID are inputted by a user being an information transmitter, a knowledge level of the transmitter user for the input event and a knowledge level of a receiver user are retrieved from a knowledge DB 23 and are compared with each other. If the knowledge level of the receiver user is equal to or higher than the knowledge level of the transmitter user, input transmission information is transmitted to a terminal of the receiver user as it is. But if the knowledge level of the receiver user is lower than the knowledge level of the transmitter user, an event for which the knowledge level of the receiver user is highest is selected from the knowledge DB 23, and the input quantitative value of the degree of the event is substituted with a quantitative value of a degree of the extracted event, and this event and the quantitative value of its degree obtained by substitution are transmitted to the terminal of the receiver user.

Description

  The present invention relates to an understanding support method and system used to support understanding when a user receives information.

  In recent years, with the expansion of information communication networks represented by the Internet and the spread of information communication terminals, information is easily exchanged between users, and various types of information are distributed to users from websites and the like. It is like that. However, the received information may not be understood by the user depending on the type of information sent and the user's knowledge.

  Conventionally, as a method for supporting the understanding of information by a user, for example, a face-to-face intercultural communication support system that visualizes keywords appearing in a conversation and adds expressions common to all of them (for example, Non-Patent Document 1). ), A method of classifying a user's thought style and presenting an illustrative expression (see, for example, Non-Patent Document 2), and a method of matching and exemplifying things during information transmission (see, for example, Non-Patent Document 3) Has been proposed.

Kengo Okamoto, Satoshi Yoshino, “Development of Face-to-face Intercultural Communication Support System Using Visualized Conversational Keywords”, FIT2009 Information Science and Technology Forum, Vol.3, pp393-396, 2009. Mitsuto Nakamura, “Everyone can understand with the same diagram? Appropriate interaction between presentation method and preference style in procedural explanation”, Journal of Japan Society for Educational Technology, Vol.30, pp.85- 88, 2006. Mochizuki Rika, Nagatoku Shinichiro, Mogi Manabu, Yagi Takashi, Muto Nobuhiro, Kobayashi Toru , No.1, pp.30-38,2012.1.

However, the techniques described in Non-Patent Documents 1-3 have the following problems to be solved.
That is, first, the method of promoting understanding by visualization described in Non-Patent Document 1 uses expressions common to all people, so that the difference in knowledge among users is not taken into account, and all users are always considered. However, it is not always easy to present information. Moreover, it is difficult to convey the “degree” such as the value and danger of things only by using visual expression, and it is extremely difficult to make the “degree” understood by a receiver with little knowledge of the transmission event itself.

  In addition, the technology described in Non-Patent Document 2 that classifies user's thought styles and presents the graphical representation also presents the graphical representation to be presented to all users because it does not consider the difference in knowledge between users. Effective information is not always presented. In addition, since the quantitative expression method of the “degree” of things is not defined, it is difficult to express the “degree” graphically.

  In the method described in Non-Patent Document 3 that matches and exemplifies things, the same kind of thing is targeted for matching, and therefore matching between different kinds of things cannot be handled. For this reason, even if information on matched things is presented, it is difficult to understand the information unless the user has knowledge of the presented things.

  The present invention has been made paying attention to the above circumstances, and its purpose is to provide understanding support that allows the recipient user to easily understand the degree of the event in consideration of the knowledge of the user who is the recipient of the information. It is to provide a method and system.

  In order to achieve the above object, a first aspect of the present invention is a method or system for assisting an understanding of the transmission information by a user as a receiver when transmitting the transmission information to a user terminal as a receiver. A knowledge database storing information representing the degree of knowledge of the user for each event, and receiving the first transmission information including the event and its quantitative value from the user terminal serving as the receiver, From the knowledge database, an event in which the degree of knowledge of the recipient user satisfies a preset condition is read. Then, the read quantitative value of the degree of the event is converted into a value corresponding to the quantitative value of the degree of the event included in the first transmission information, and the read event and the converted said value The second transmission information including the quantitative value of the degree of the event is transmitted to the user terminal serving as the receiver instead of the first transmission information.

  According to a second aspect of the present invention, when transfer information transmitted from a first user terminal serving as a reporter is transferred to a second user terminal serving as a receiver, the user who is the receiver understands the above-described transfer information. An understanding support system having a function to support the event, comprising a knowledge database in which information representing the degree of knowledge of the user for each event is stored for each event, and the event and its event from the first user terminal serving as the transmitter When the first transmission information including a certain quantitative value is received, an event satisfying a preset condition of the knowledge level of the user as the receiver is read from the knowledge database. Then, the read quantitative value of the degree of the event is converted into a value corresponding to the quantitative value of the degree of the event included in the first transmission information, and the read event and the converted said value The second transmission information including the quantitative value of the degree of the event is transmitted to the second user terminal serving as the receiver instead of the first transmission information.

  According to a third aspect of the present invention, in the first or second aspect, the information processing method further includes means or a process for creating the knowledge database, and the frequency of the action that the user has caused in relation to the event, and the action Based on the index indicating the breadth of the behavior, the degree of knowledge related so that the higher the frequency or breadth of the action is, the higher the degree of knowledge is calculated. It is made to associate and memorize | store in the said knowledge database.

  According to a fourth aspect of the present invention, when calculating the degree of knowledge, the frequency of purchase behavior for a specific product is calculated as the frequency of behavior, and the purchase price of the purchase behavior is used as an index representing the breadth of the behavior. The variance is calculated.

  That is, according to the first aspect of the present invention, when the user himself / herself who has input the transmission information is the receiver, the event included in the input transmission information and the quantitative value thereof are determined by the level of knowledge of the receiver user. It is replaced with a quantitative value of the highest degree of other events. That is, when the user inputs an event that cannot be understood by the user and the degree of the event, the event is converted into an event that can be understood by the user and the degree thereof. For this reason, it is possible to understand an event that cannot be understood by the user and the meaning of the event by replacing it with another event.

  According to the second aspect, when transmitting the degree of an event to a receiver user who is not familiar with the event, the event is exemplified by being replaced with another event having the highest degree of knowledge of the receiver user. The That is, the degree of the event input by the user is converted into a level of event that is detailed for the receiver user and presented. For this reason, even if the knowledge between the teller user and the receiver user is significantly different, the receiver user receives the degree of the event input by the teller user without considering the knowledge of the receiver user. The information can be transmitted in a form that is easy for the user to understand, so that the teller user can reliably transmit information to the recipient user without any special consideration. In addition, the receiver user can easily understand the degree of the event that the user is trying to convey as the degree of the event that the user can easily understand.

  According to the third aspect, it is possible to update the knowledge database that stores the degree of knowledge about the user's event according to the user's behavior history, thereby always using the degree of the event that is optimal for the receiving user. It is possible to communicate.

  According to the fourth aspect, when calculating the degree of knowledge, the frequency of purchase behavior for a specific product is calculated as the frequency of behavior, and the purchase price variance in the purchase behavior is used as an index representing the breadth of the behavior. Calculated. For this reason, a user's knowledge level with respect to the said goods of a user can be calculated appropriately based on the purchase action with respect to goods.

  That is, according to the present invention, it is possible to provide an understanding support method and system in which the recipient user can easily understand the degree of the event in consideration of the knowledge of the user who is the information recipient.

The block diagram which shows the structure of the understanding assistance system which concerns on one Embodiment of this invention. The flowchart which shows the creation process procedure and processing content of the knowledge database by the understanding assistance system shown in FIG. The figure which shows an example of the action history database used for the knowledge database creation process shown in FIG. The figure which shows the 1st example of the knowledge structuring process which is one process of the knowledge database creation process shown in FIG. The figure which shows the 2nd example of the knowledge structuring process which is one process of the knowledge database creation process shown in FIG. The figure which shows the 3rd example of the knowledge structuring process which is one process of the knowledge database creation process shown in FIG. The figure which shows an example of the structured knowledge database created by the knowledge structuring process of the knowledge database creating process shown in FIG. The figure used for description of the knowledge quantification process which is one process of the knowledge database creation process shown in FIG. The figure which shows an example of the knowledge database created by the knowledge database creation process shown in FIG. The figure which shows an example of an expression list database. The flowchart which shows the procedure and processing content of the understanding assistance information generation process by the understanding assistance system shown in FIG. The figure for demonstrating the data input process in the understanding assistance information generation process shown in FIG. The flowchart which shows the procedure of the knowledge level determination process in the understanding assistance information generation process shown in FIG. The flowchart which shows the procedure of the expression selection process of the maximum knowledge degree in the understanding assistance information generation process shown in FIG. The flowchart which shows the procedure and process content of the degree fixed value conversion process in the understanding assistance information generation process shown in FIG. The figure for demonstrating an example of the degree fixed value conversion process shown in FIG. The figure which shows an example of the understanding assistance information produced | generated by the understanding assistance information production | generation process shown in FIG.

Embodiments according to the present invention will be described below with reference to the drawings.
[One Embodiment]
(Constitution)
FIG. 1 is a block diagram showing the configuration of an understanding support system according to an embodiment of the present invention. This understanding support system includes an understanding support server SV as a core, and a plurality of user terminals TM1 to TMn can be connected to the understanding support server SV via a communication network NW.

  For the user terminals TM1 to TMn, for example, mobile terminals such as mobile phones, smart phones, tablet terminals, and node personal computers are used. The communication network NW includes, for example, an IP (Internet Protocol) network and an access network for accessing the IP network. As the access network, a mobile communication network such as a mobile phone network or a wireless local area network (LAN) is used.

The understanding support server SV is composed of, for example, a Web server, and includes a control unit 1, a storage unit 2, and a communication interface 3.
The communication interface 3 transmits / receives information data to / from the user terminals TM1 to TMn in accordance with a communication protocol defined in the communication network NW.

  The storage unit 2 includes a nonvolatile memory such as an HDD (Hard Disc Drive) and an SSD (Solid State Drive) that can be written and read at any time as a storage medium, and is necessary for implementing this embodiment. As a database, an action history database (action history DB) 21, a structured knowledge database (structured knowledge DB) 22, a knowledge database (knowledge DB) 23, an expression list database, and an (expression list DB) 24 are provided. .

  The action history DB 21 is used to accumulate user life log data acquired from the user terminals TM1 to TMn as action history information in association with identification information (user ID) of the user. FIG. 3 shows an example of a user's action history information stored in the action history DB 21. In this example, the date and time, the name of the store visited, the name of the product purchased at this store, and its price are stored.

  The structured knowledge DB 22 is used for storing structured knowledge information for each user generated based on the action history information accumulated in the action history DB 21. The structured knowledge information includes, for example, each layer representing a product classification result, a product name, an investment frequency, and a variance value of investment content variations. FIG. 7 shows an example of a user's structured knowledge information stored in the structured knowledge DB 22. In this example, the purchase frequency and price of each of the hierarchy and the product name representing the classification result for each product are shown. Information representing the variance is stored.

  The knowledge DB 23 is used for storing knowledge information for each user generated based on the structured knowledge information stored in the structured knowledge DB 22. FIG. 9 shows an example of knowledge information of a certain user stored in the knowledge DB 23, and information indicating the degree of knowledge of each hierarchy and product name is stored for each product.

  The expression list DB 24 is used for storing degree list information of events to be presented. FIG. 10 shows an example of expression list information stored in the expression list DB 24. In association with each event, an expression method of “degree”, a maximum value and a minimum value of “degree”, a unit, Information representing the increments of is stored.

  The control unit 1 includes a CPU (Central Processing Unit). As a control processing function necessary for implementing this embodiment, an action history management processing unit 11, a knowledge structuring processing unit 12, and a knowledge quantification processing unit are provided. 13, an input data reception processing unit 14, a knowledge level determination processing unit 15, an optimum expression selection processing unit 16, a degree quantitative value conversion processing unit 17, and an output processing unit 18. These processing units 11 to 18 are each realized by causing the CPU to execute an application program stored in a program memory (not shown).

  The action history management processing unit 11 acquires life log data of a user who uses the user terminal regularly or irregularly from the user terminals TM1 to TMn, and stores data related to purchase behavior of the product among the acquired life log data. A process of selecting and accumulating this as action history information of the user in the action history DB 21 in time series is performed.

  The knowledge structuring processing unit 12 reads the behavior history information from the behavior history DB 21 and stratifies the products subject to purchase behavior according to the classification, and distributes the investment frequency and the variation of the investment contents for each product. Is calculated. And the process which stores in the said structured knowledge DB22 the information showing dispersion | variation of this calculated investment frequency and the variation of the investment content as structured knowledge information is performed.

  The knowledge quantification processing unit 13 reads the structured knowledge information from the structured knowledge DB 22 and has two points that the degree of knowledge is higher as the investment frequency is higher, and the degree of knowledge is higher as the variation of investment contents is larger. As a reference, the content level of each layer and the user's knowledge level regarding the product are calculated, and information representing the calculated knowledge level is stored in the knowledge DB 23.

  The input data reception processing unit 14 receives the information input by the input operation via the communication interface 3 when the user who is the information sender performs the information input operation at the user terminals TM1 to TMn. Process. The input information includes an event, a degree expression, a quantitative value of the degree, a sender ID that represents a transmitter, and a receiver ID that represents a receiver.

  The knowledge level determination processing unit 15 searches the knowledge DB 23 using the sender ID and the receiver ID, respectively, for the transmission of the input event and the knowledge level of the receiver. Then, the retrieved knowledge level of the receiver is compared with the knowledge level of the transmitter, and a process is performed to determine whether the knowledge level of the receiver is higher than the knowledge level of the transmitter.

  When the knowledge level determination processing unit 15 determines that the knowledge level of the receiver is lower than the knowledge level of the teller, the optimal expression selection processing unit 16 stores the knowledge DB 23 in the event list included in the expression list DB 24. A process is performed for searching for the included event and selecting the event having the maximum knowledge level from the list of knowledge levels. As an alternative process, for example, when there are a plurality of candidates whose knowledge level is higher than a certain threshold value, a selection method such as preferentially selecting a higher hierarchy (genre) of the event is taken. Is also possible.

  The degree quantitative value conversion processing unit 17 includes the maximum value and the minimum value of the quantitative value of the degree of the event previously input, and the maximum value of the quantitative value of the degree of the event that maximizes the knowledge level of the selected recipient. The minimum values are extracted from the expression list DB 24, respectively. Then, a process of converting the input quantitative value of the degree of the event into a relatively equivalent quantitative value in the degree of the event having the maximum knowledge level is performed. When there are a plurality of degree expressions for an event with the maximum knowledge level, a plurality of degree expressions are all extracted, or a degree expression is selected and output by an appropriate method.

  When the knowledge level determination processing unit 15 determines that the receiver's knowledge level is equal to or higher than the reporter's knowledge level, the output processing unit 17 directly transmits the information input at the user terminal to the communication interface. 3 is transmitted to the user terminal of the receiver. In addition, when the knowledge level determination processing unit 15 determines that the receiver's knowledge level is lower than the knowledge level of the transmitter, the knowledge level of the receiver converted by the quantitative value conversion processing unit 17 of the above degree is maximized. A process for transmitting information representing a quantitative value of the degree of the event from the communication interface 3 to the user terminal of the receiver is performed.

(Operation)
(1) Creation of Knowledge DB FIG. 2 is a flowchart showing a creation processing procedure and processing contents of the knowledge DB 23.
First, in step S21, the understanding support server SV receives user life log data transmitted from the user terminals TM1 to TMn periodically or irregularly under the control of the action history management processing unit 11. Data related to the purchase behavior of the product is selected from the life log data, and this is stored in the behavior history DB 21 as the behavior history information of the user. As a result, for example, as shown in FIG. 3, the name of the store visited, the name of the purchased product, and information representing the price are stored in time series in association with the date and time.

  Next, in step S22, each time new behavior history information is stored in the behavior history DB 21 or a certain amount of behavior history information is accumulated or a certain amount of time has passed under the control of the knowledge structuring processor 12 Each time the action history information is read, the action history information is read from the action history DB 21. Then, based on the read action history information, two parameters of the amount of experience and the width of experience are calculated. For example, the amount of experience with respect to the user's event is quantified by the frequency of experience, and the breadth of the user's experience with respect to the event is quantified by the variance of the experience variations.

  More specifically, the products targeted for purchase behavior are hierarchized according to their classification, and the investment frequency and the variance of the investment contents are calculated for each layer and product name.

  FIG. 4 shows an example of this knowledge structuring process. In this example, products are hierarchized using an existing technology (such as an OWL web ontology language) that constitutes an ontology. Examples 1 and 2 show cases where different ontology techniques are used. Even if the same product is used, for example, in the case of a coffee cup, in Example 1, it is positioned under the three levels of household goods / tableware / cups. 2 is positioned below the second level of household goods / cups. That is, the number of layers depends on the ontology technique used. Further, as shown in Example 3, the structure may be structured without providing a hierarchy. By providing a hierarchy, for example, even if different types of coffee are purchased each time, there is an advantage that individual products can be collectively handled in the form of “buy coffee frequently”. The OWL web ontology language is described in detail on the Internet <URL: http://www.asahi-net.or.jp/~ax2s-kmtn/internet/rec-owl-guide-20040210.html>. Yes.

  FIG. 5 shows an example of calculating the investment frequency f for each layer and product. The investment frequency f is arbitrarily provided with a definition that can quantify the magnitude of the frequency. For example, a uniform standard is arbitrarily designated for all users, such as the average number of purchases in a certain period such as one week or one month, or the number of all previous purchases. In the example shown in FIG. 5, the number of purchases related to beverages per week is calculated, and the average value (4.3 times) of all past calculation results is used as the investment frequency f related to beverages.

FIG. 6 shows a calculation example of the variance u ² of the investment content variation for each layer and product. First, the purchase price of each product belonging to the beverage hierarchy is normalized. Then, the variance value u ² of all the normalized values of the user in the past is calculated. In this example, 0.11 is calculated as the variance value u ² .

  The normalization and variance calculation processing is performed as follows, for example. That is, with respect to the beverage to be calculated, the price is normalized with 0 being the lowest purchase price and 1 being the highest purchase price for all users. Based on these, the variance of the investment content variation is calculated. The variance is in the range of 0 to 1.

により算出される。 Specifically, let xmin be the minimum purchase price of products belonging to “beverages” of all other users, xmax be the maximum purchase price of products belonging to “beverages” of all other users, and Price normalization value x'i is expressed as x'i = (xi-xmin) / (xmax-xmin)
And If the total number of products belonging to the “beverage” of the user is n, the variance u ² is

Is calculated by

As described above, the knowledge structuring processing unit 12 calculates the purchase frequency (times / week) f and price variance u ² for each of the tier 1, the tier 2 and the product name, and the calculation result is shown in FIG. Thus, it is stored in the structured knowledge DB 22.

Subsequently, in step S23, the knowledge quantification processing unit 15 reads structured knowledge information from the structured knowledge DB 22, and the higher the investment frequency f, the higher the knowledge level, and the greater the variance u ² of the investment content variation, the more knowledge is obtained. Based on the two points of high degree, the content of each layer and the height of the user's knowledge about the product are calculated. At this time, as shown in FIG. 8, the dispersion of the variation of the investment contents indicates the degree of spread of the types of investment contents of the user. In this embodiment, the purchase price is used as an example of quantification of the spread of the kinds, The degree of variation is regarded as abundant in variation.

により算出される。なお、知識の高さの算出に際しては、分散値ｕ²、標準偏差ｆのどちらを用いてもよい。
上記知識度の高さは、商品ごとにその階層１、階層２及び商品名のそれぞれについて算出され、例えば図９に示すように知識ＤＢ２３に格納される。 Using the investment frequency f and the variance u ² , the level of knowledge is

Is calculated by In calculating the knowledge height, either the variance value u ² or the standard deviation f may be used.
The level of knowledge is calculated for each of the level 1, level 2, and product name for each product, and stored in the knowledge DB 23 as shown in FIG. 9, for example.

(2) Creation of Expression List DB 24 The expression list DB 24 is created, for example, when a service provider inputs data in advance. The expression list DB 24 may be created so as to have a predetermined data structure, and the creation means is not limited.
The expression list DB 24 stores data for quantitatively converting the degree expression for each event, and is a database common to all users. As shown in FIG. 10, the structure of the expression list DB 24 includes an event, a degree expression, a maximum value, a minimum value, and a unit increment. If the unit increment is a fixed value, the value can be entered, and if it is not a fixed value (if the value can be entered freely within a specific range), it can be entered freely as shown in “free” in FIG. Set the symbol that represents.

  An event always corresponds to one of the contents included in the hierarchy of the knowledge DB 23 or the product name list. For example, it is set by a method such as selecting and setting from the knowledge DB 23, setting all contents included in the knowledge DB 23, and setting contents not included in correspondence with each other like daily necessities (life miscellaneous goods).

  The degree expression designates a linguistic expression representing the degree of the event for each event. For example, a morphological analysis of a web page is performed, and a certain number of notations “~ degree, ~ sa” that co-occur with the previously set event (for example, the degree of congestion and area co-occurring with a station) from the top of the appearance frequency Specify according to the extraction method. For morphological analysis, general-purpose tools such as “ChaSen-Morphological Analyzer” and the Internet <URL: http://chasen-legacy.sourceforge.jp/> are used.

  For the maximum value, minimum value, and unit increment of the degree expression, a unit to be quantified is designated for each language expression designated as the degree expression, and the maximum value, minimum value, and unit width are designated. For example, the maximum value, the minimum value, and the unit increment value are acquired and set from data that is publicly available on the Web such as a book, the product, and the homepage (HP) of a company that provides the product.

  In that case, the purchase store of the said event in action log | history DB21 may be searched, and the homepage of the store may be referred. As a specific example, the degree of “spicy” of the event “C store curry” is expressed in the unit of spicy “1 spicy” to “10 spicy” described in the menu published on the homepage of C store. The maximum value “10” and the minimum value “1”, and the increment value “1” of the spiciness value are specified.

(3) Communication Information Understanding Support Processing (3-1) Advance Preparation It is assumed that a user ID is assigned to a user who uses the understanding support service of the present embodiment as an identifier for identifying the user. This user ID is the same as the user ID used in the action history DB 21, the structured knowledge DB 22, and the knowledge DB 23 described above. Further, it is assumed that the knowledge DB 23 and the expression list DB 24 have already been created by the creation processing described in (1) and (2), respectively.

(3-2) Input of Information by Transmitter Here, a case where the user of the user terminal TM1 transmits information to the user of the user terminal TM2 will be described as an example.
The user who transmits information is an event and a degree expression, a quantitative value of the level, the sender ID of the user who is the transmitter, and the recipient of the user who is the receiver as information to be transmitted in his user terminal TM1. Enter your ID. For this input operation, an input template is sent from the understanding support server SV to the user terminal TM1 and displayed.

  For example, as shown in FIGS. 12A, 12 </ b> B, and 12 </ b> C, a template screen for inputting “event”, “degree expression”, and “degree quantitative value” is sequentially displayed. The user selects and inputs “event” and “degree expression” to be transmitted from each of the displayed input templates (FIGS. 12A and 12B). In the template (FIG. 12C), an arbitrary value is input as the “determined quantitative value”. The “event”, “degree expression”, and “quantity value” input as described above are sent to the understanding support server SV together with the sender ID of the user serving as the transmitter and the receiver ID of the user serving as the receiver. It is done.

  The understanding support server SV executes the above-described input template transmission processing and information reception processing from the user terminal TM1 under the control of the input data reception processing unit 14.

  When the “event”, “degree expression”, “quantity value of degree”, sender ID, and receiver ID input in the user terminal TM1 are received, the understanding support server SV understands the transmission information as follows. Execute support processing. FIG. 11 is a flowchart showing the processing procedure and processing contents.

(3-3) Knowledge Determination The understanding support server SV first activates the knowledge level determination processing unit 15 in step S11, and is included in the input transmission information under the control of the knowledge level determination processing unit 15. Judge the level of the knowledge level of the teller about the event and the knowledge level of the receiver. For example, as shown in FIG. 13, it is first determined in step S111 whether or not the sender ID is included in the input information. If it is not included, the process proceeds to the next step S12.

  On the other hand, when the sender ID is included, as shown in FIG. 13, based on the “event” and the “receiver ID” included in the input information, the knowledge level and the receiver of the sender from the knowledge DB 23 In step S112, the knowledge level of the transmitter is compared with the knowledge level of the receiver. If the level of knowledge of the receiver is equal to or higher than the level of knowledge of the teller as a result of this comparison, the fact is notified to the output processing unit 17. On the other hand, as a result of the comparison, if the knowledge level of the receiver is lower than the knowledge level of the transmitter, the process proceeds to step S12.

(3-4) Selection of Event with Maximum Knowledge Level of Recipient The understanding support server SV activates the optimal expression selection processing unit 16 in step 12 and under the control of the optimal expression selection processing unit 16, the expression list DB 24 The event of the receiver stored in the knowledge DB 23 is searched from the event list stored in the event DB, and the event having the maximum knowledge level is selected from the events of the receiver.

  Specifically, as shown in FIG. 14, after reading the event list from the expression list DB 24, based on the read event list and the input recipient ID, the event of the receiver and its event from the knowledge DB 23 are displayed. Search knowledge list. In step S121, an event having the highest knowledge level of the receiver is selected from the retrieved knowledge level list of the event.

  In addition, as a method for selecting an event with a high degree of knowledge of the receiver, a method for randomly selecting one of the top N events with a high degree of knowledge, in addition to selecting an event with the highest degree of knowledge, The top M events having a high degree of knowledge are transmitted to the user terminal TM2 as the receiver and presented to the user, and a desired one event is selected from the displayed top M events as the user who receives the event. A method of making it possible is also conceivable. In short, a selection condition is determined in advance, and an event that satisfies this selection condition is selected.

(3-5) Conversion of Quantitative Value About Degree When the selection of the event having the maximum knowledge level of the receiver is completed, the understanding support server SV subsequently activates the quantitative value conversion processing unit 17 of the degree in step S13. Processing for converting the quantitative value of the degree of the event previously input by the teller into a relatively equivalent quantitative value in the degree of the selected maximum knowledge degree event under the control of the value conversion processing unit 17 I do.

  Specifically, as shown in FIG. 15, based on the event input by the above-mentioned transmitter, information representing the maximum value, minimum value, and unit increment of the level of the event is read from the expression list DB 24. At the same time, based on the event having the maximum knowledge level selected by the optimum expression selection processing unit 16, the maximum value, the minimum value, and information representing the unit increment are read from the expression list DB 24. As a result, for example, assuming that “new type computer virus” is input as an event to be transmitted by the communicator, “threat degree” is input as the degree expression, and “0.8” is input as the quantitative value of the degree, the expression list DB 24 The maximum value: 1 and the minimum value: 0 of “threat level (risk level)” are read out. In addition, when the event with the maximum knowledge level of the receiver is “sake” and the expression of the degree is “strength”, the maximum value of “strength” is 96, the minimum value is 0.1, and the unit increment from the expression list DB 24. : Free is read.

  Subsequently, in step S131, the quantified value, maximum value, minimum value, and unit increment of the degree of the event input by the transmitter, and the maximum value, minimum value, and unit increment of the event degree of the maximum knowledge level of the receiver. Based on the above, the relative value of the quantitative value of the degree in the event with the highest knowledge level of the receiver is calculated.

この計算により、上記した「新型コンピュータウィルス」及び「酒」の例では、受け手の知識度最大の事象「酒」における程度「強さ」の定量値の相対値は「７６」として算出される。 The following formula shows the calculation formula, xi is a quantitative value of the degree of event i input by the sender, xmax and xmin are the maximum and minimum values, respectively, and ymax and ymin are the events with the maximum knowledge level of the receiver, respectively. The maximum and minimum values are shown.

With this calculation, in the example of “new computer virus” and “sake” described above, the relative value of the quantitative value of the degree “strength” in the event “sake” having the maximum knowledge level of the receiver is calculated as “76”.

  The relative value “76” of the quantitative value of the degree in the event with the maximum knowledge level of the receiver calculated as described above is sent to the output processing unit 17 together with the event “liquor” with the maximum knowledge level and the degree expression “strength”. Be notified.

(4) Presentation of Information to Recipient The understanding support server SV finally activates the output processing unit 18 and performs information presentation processing under the control of the output processing unit 18 as follows.
That is, when the knowledge level determination processing unit 15 determines that the knowledge level of the receiver is equal to or higher than the knowledge level of the transmitter, the event received by the input data reception processing unit 14 and input by the transmitter, The degree expression and the quantitative value of the degree are directly transmitted as transmission information from the communication interface 3 to the user terminal TM2 used by the user of the receiver and displayed.

  On the other hand, in the knowledge level determination processing unit 15, when the knowledge level of the receiver is lower than the knowledge level of the transmitter, the maximum knowledge event of the receiver selected by the optimal expression selection processing unit 16 and its degree expression, The relative value of the quantitative value calculated by the quantitative value conversion processing unit 17 of the above level is transmitted and displayed as transmission information from the communication interface 3 to the user terminal TM2 used by the user of the receiver. Therefore, in this case, as shown in FIG. 16, the quantitative value of the computer virus risk level = 0.8 is presented to the recipient's user terminal TM2 as a relative value “76” when replaced with the frequency of “sake”. Is done.

  FIG. 17 shows an execution image of the understanding support operation according to the embodiment described above. As shown in the figure, it is assumed that the reporter user A tries to transmit information such as “the risk of the new virus X is 0.8” to the recipient users B and C. In this case, if the knowledge level regarding the “computer security” of the receiver user C is equal to or higher than that of the user A, the transmission information transmitted by the user A is transferred to the receiver user C as it is.

  On the other hand, for the recipient user B whose knowledge level regarding “computer security” is lower than the recipient user A, the knowledge level (familiarity) is the highest among the events in the various fields possessed by the recipient user B. The event is selected regardless of the field, and the quantitative value of the degree of the selected event is replaced with a value corresponding to the quantitative value of the degree of the event that the transmitter user A tried to convey. Then, the replaced information, for example, “about 76 degrees in the case of liquor” is transmitted to the recipient user B instead of the above “risk of new virus X is 0.8”.

(Effect of one embodiment)
As described above in detail, the understanding support server SV and the understanding support method according to an embodiment of the present invention include the following means or processing steps.
That is, when an event and its degree expression, a quantitative value of the degree, the sender ID of the sender user and the receiver ID of the receiver user are input from the user who is the information transmitter as the transmission information, The knowledge level of the teller user and the knowledge level of the receiver user for the event are retrieved from the knowledge DB 23 and compared. When the knowledge level of the recipient user is equal to or higher than the knowledge level of the transmitter user, the input transmission information is transmitted as it is to the user terminal of the receiver user. On the other hand, when the knowledge level of the receiver user is lower than the knowledge level of the reporter user, an event having the highest knowledge level of the receiver user is selected from the knowledge DB 23 and the degree of the event input by the reporter user is selected. The quantitative value is replaced with the quantitative value of the degree of the extracted event, and information indicating the replaced event and the quantitative value of the degree is received and transmitted to the user terminal of the user.

  Therefore, according to one embodiment, when the teller user communicates the degree of an event to a recipient user who is not familiar with the event, the event is exemplified by being replaced with the degree of another event with the highest degree of knowledge of the recipient user. The That is, the degree of the event input by the user is converted into a level of event that is detailed for the receiver user and presented. For this reason, even if the knowledge between the teller user and the receiver user is significantly different, the receiver user receives the degree of the event input by the teller user without considering the knowledge of the receiver user. The information can be transmitted in a form that is easy for the user to understand, so that the teller user can reliably transmit information to the recipient user without any special consideration. In addition, the receiver user can easily understand the degree of the event that the user is trying to convey as the degree of the event that the user can easily understand.

  Moreover, in this embodiment, in order to implement | achieve the said understanding assistance process, a user's life log data is each acquired from user terminal TM1-TMn regularly or irregularly, and it accumulate | stores in action log | history DB21, and this accumulated life For each event (purchased product) based on the log data, calculate the distribution of purchase frequency and purchase variation for each classification hierarchy and product name, and calculate the degree of knowledge based on the calculation result of this purchase frequency and variance. It is calculated and stored in the knowledge DB 23.

  Therefore, it is possible to update the knowledge DB 23 that stores the degree of knowledge about the event of the user and the receiver user in accordance with the user's behavior history, thereby transmitting information using the degree of event that is always optimal for the receiver user. can do. In addition, the amount of experience for user events is quantified by the frequency of experience, and the breadth of experience is quantified by the variance of experience variations, and the degree of knowledge is quantified based on this quantified frequency and variance. Therefore, the knowledge level of the user can be calculated appropriately.

[Other Embodiments]
In the above-described embodiment, the case where the information input by the user who transmits information is transferred to the user who receives the information by converting the degree expression of the event and the quantitative value of the degree according to the knowledge has been described as an example. . However, the present invention is not limited to this, and the present invention can also be applied to the case where the user serving as the transmitter and the user serving as the receiver are the same. According to this embodiment, for example, when the user inputs an event that is difficult to understand with his / her knowledge and its degree, the understanding support server SV can understand the quantitative value of the degree of the inputted event for the input user. It can be replaced with a quantitative value of the degree of the event and returned to the input user itself. That is, in this case, the understanding support server SV has a role like a dictionary for understanding the degree of an event that is difficult for the user to understand.

  The present invention can also be applied to the case where events such as news and current affair terms transmitted from information distribution sites and the like and the extent thereof are distributed to users. According to this embodiment, when the information distribution site transmits the distribution information to the user, the understanding support server SV understands the event included in the transmitted information and the quantitative value thereof according to the knowledge of the distribution destination user. It can be replaced with a quantitative value of the degree of possible events and transmitted to the distribution destination user.

  Furthermore, in the one embodiment, a database group including an action history DB 21, a structured knowledge DB 22, a knowledge DB 23, and an expression list DB 24, an action history management processing unit 11, a knowledge structuring processing unit 12, a knowledge quantification processing unit 13, and an input When all the control functions including the data reception processing unit 14, the knowledge level determination processing unit 15, the optimum expression selection processing unit 16, the quantitative value conversion processing unit 17 and the output processing unit 18 are accommodated in one server SV. However, the database group and the control function may be appropriately distributed to different servers or terminals and connected to each other via a communication network.

  The present invention is not limited to the above embodiments. For example, in the embodiment, the case where a mobile terminal is used as a user terminal has been described as an example, but a wired terminal may be used. However, in this case, the user himself / herself needs to transmit life log data to the understanding support server SV using the wired terminal.

  In the embodiment described above, products such as household goods and beverages are mainly described as events, but events related to geography, physics, weather, politics, economy, finance, art, etc. may be used. In addition, the structure of the understanding support system, the creation process of the knowledge DB, the event according to the degree of knowledge of the receiver user and the procedure and contents of the replacement process are variously modified without departing from the gist of the present invention. Can be implemented.

  In short, the present invention is not limited to the above-described embodiments as they are, and can be embodied by modifying the components without departing from the scope of the invention in the implementation stage. Moreover, various inventions can be formed by appropriately combining a plurality of constituent elements disclosed in the above embodiments. For example, some components may be deleted from all the components shown in each embodiment. Furthermore, you may combine suitably the component covering different embodiment.

  SV ... understanding support server, TM1 to TMn ... user terminal, NW ... communication network, 1 ... control unit, 2 ... storage unit, 3 ... communication interface, 11 ... action history management processing unit, 12 ... knowledge structuring processing unit, 13 ... knowledge quantification processing unit, 14 ... input data reception processing unit, 15 ... knowledge level determination processing unit, 16 ... optimum expression selection processing unit, 17 ... about quantitative value conversion processing unit, 18 ... output processing unit, 21 ... action History database (action history DB), 22 ... structured knowledge database (structured knowledge DB), 23 ... knowledge database (knowledge DB), 24 ... expression list database, (expression list DB).

Claims (8)

A method for supporting understanding of the transmission information by a user as a receiver when transmitting the transmission information to a user terminal as a receiver,
Receiving a first transmission information including an event and a quantitative value of the degree;
A process of reading out an event satisfying a preset condition of the knowledge level of the user as the receiver from a knowledge database in which information representing the knowledge level of the user for the event is stored for each event;
Converting the read-out quantitative value of the degree of the event into a value corresponding to the quantitative value of the degree of the event included in the first transmission information;
A step of transmitting the read event and the second transmission information including the converted quantitative value of the degree of the event to the user terminal serving as the receiver instead of the first transmission information. An understanding support method characterized by Based on the frequency of the action that the user took in relation to the event and the index representing the breadth of the action, the action frequency or the breadth index of the action is related to become higher The understanding support according to claim 1, further comprising a knowledge information calculation step of calculating a knowledge level and storing information representing the calculated knowledge level in the knowledge database in association with the event. Method.   The knowledge information calculation step calculates the frequency of purchase behavior for a specific product as the frequency of behavior, and calculates the variance of purchase price in the purchase behavior as an index representing the breadth of the behavior. The understanding support method according to claim 2. An understanding support system having a function of supporting the understanding of the transmission information by the user as the receiver when transmitting the transmission information to the user terminal as the receiver,
A knowledge database in which information representing the degree of knowledge of the user for each event is stored for each event;
Means for receiving, from the user terminal serving as the receiver, first transmission information including an event and a quantitative value thereof;
Means for reading from the knowledge database an event in which the knowledge level of the recipient user satisfies a preset condition;
Means for converting the read quantitative value of the degree of the event into a value corresponding to the quantitative value of the degree of the event included in the first transmission information;
Means for transmitting the read event and the second transmission information including the converted quantitative value of the degree of the event to the user terminal serving as the receiver instead of the first transmission information. An understanding support system characterized by Comprehension support provided with a function for supporting the understanding of the transmission information by the user as the receiver when transferring the transmission information transmitted from the first user terminal as the receiver to the second user terminal as the receiver A system,
A knowledge database in which information representing the degree of knowledge of the user for each event is stored for each event;
Means for receiving first transmission information including an event and a quantitative value of the degree from the first user terminal serving as the transmitter;
Means for reading from the knowledge database an event in which the knowledge level of the recipient user satisfies a preset condition;
Means for converting the read quantitative value of the degree of the event into a value corresponding to the quantitative value of the degree of the event included in the first transmission information;
Means for transmitting second read information including the read event and the converted quantitative value of the degree of the event to the second user terminal serving as the receiver instead of the first transfer information An understanding support system comprising: An understanding support system having a function of supporting the understanding of the transmission information by the user as the receiver when transmitting the transmission information to the user terminal as the receiver,
A knowledge database in which information representing the degree of knowledge of the user for each event is stored for each event;
Based on the frequency of the action that the user took in relation to the event and the index representing the breadth of the action, the action frequency or the breadth index of the action is related to become higher Knowledge information calculating means for calculating a knowledge level, and storing information indicating the calculated knowledge level in the knowledge database in association with the event;
Means for receiving, from the user terminal serving as the receiver, first transmission information including an event and a quantitative value thereof;
Means for reading from the knowledge database an event in which the knowledge level of the recipient user satisfies a preset condition;
Means for converting the read quantitative value of the degree of the event into a value corresponding to the quantitative value of the degree of the event included in the first transmission information;
Means for transmitting the read event and the second transmission information including the converted quantitative value of the degree of the event to the user terminal serving as the receiver instead of the first transmission information. An understanding support system characterized by Comprehension support provided with a function for supporting the understanding of the transmission information by the user as the receiver when transferring the transmission information transmitted from the first user terminal as the sender to the second user terminal as the receiver A system,
A knowledge database in which information representing the degree of knowledge of the user for each event is stored for each event;
Based on the frequency of the action that the user took in relation to the event and the index representing the breadth of the action, the action frequency or the breadth index of the action is related to become higher Knowledge information calculating means for calculating a knowledge level, and storing information indicating the calculated knowledge level in the knowledge database in association with the event;
Means for receiving first transmission information including an event and a quantitative value of the degree from the first user terminal serving as the transmitter;
Means for reading from the knowledge database an event in which the knowledge level of the recipient user satisfies a preset condition;
Means for converting the read quantitative value of the degree of the event into a value corresponding to the quantitative value of the degree of the event included in the first transmission information;
Means for transmitting second read information including the read event and the converted quantitative value of the degree of the event to the second user terminal serving as the receiver instead of the first transfer information An understanding support system comprising:   The knowledge information calculating means calculates a purchase action frequency for a specific product as the action frequency, and calculates a variance of purchase price in the purchase action as an index representing the breadth of the action. The understanding support system according to claim 6 or 7.

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