Behavioral analysis device and behavioral analysis method

Through location information and social participation data analysis, personalized social participation target values ​​are set and adjusted, and the persistence of the elderly population in social participation activities is solved, and the visualization and management efficiency of health indicators is improved.

JP7627238B2Active Publication Date: 2025-02-05HITACHI LTD
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Patent Information

Application Number
JP2022010451
Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
Filing Date
2022-01-26
Publication Date
2025-02-05
Estimated Expiration
2042-01-26

AI Technical Summary

Technical Problem

The existing technology is difficult to effectively set and maintain the target value of social participation for the elderly, resulting in a lack of sustainability and motivation in social participation activities, affecting the visualization of health indicators and the sustainability of social participation.

Method used

Through the analysis of location information and social participation data, using mobile terminals and analysis equipment, personalized social participation target values ​​are set and adjusted, and combined with cumulative value and target value setting units, dynamic management and feedback on individual social participation activities are achieved.

Benefits of technology

The goal value is dynamically adjusted according to the individual's history of social participation and current status, which improves the sustainability and motivation of the elderly population and enhances the visualization and management efficiency of health indicators.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

To set the aiming value of the number of times of social participation in accordance with the social participation situation of a participant.SOLUTION: An activity analyzing device includes: a measuring unit into which positional information inherent to the activity of a participant is input from the information terminal of the participant, and which measures the number of times of social participation of the participant on the basis of the input positional information of the participant; a storing unit that stores, in sequence, the measured value by the measuring unit for each measuring day; an aiming value setting unit that sets the aiming value of the number of times of social participation of the participant on the basis of the cumulative value of the number of times of social participation stored in the storing unit; and an output unit that outputs the cumulative value of the number of times of social participation stored in the storing unit and the aiming value of the number of times of social participation set by the aiming value setting unit.SELECTED DRAWING: Figure 1
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Description

[Technical field]

[0001] The present invention relates to a behavior analysis device and a behavior analysis method for analyzing the behavior of participants. [Background technology]

[0002] It is becoming clear that it is possible to prevent the onset of dementia and transition to nursing care by stimulating the social participation of the elderly. In addition to diet and exercise, it is important to visualize social participation as an indicator of the health of the elderly. In this case, social participation means participation in places where one can interact with others, such as work, hobby clubs, sports clubs, volunteer groups, shopping, and taking out the trash.

[0003] Conventionally, a method for targeting weight loss has been implemented based on a lifestyle improvement program focusing on diet and exercise. For example, a method has been implemented in which weight is measured every day, the measurement results are displayed in a graph, and changes in weight are confirmed, while the weight after weight loss is set as a target value at preset intervals such as every week or every 10 days, and weight loss is achieved by aiming for the target value. As a related technique of this type, for example, there is a display method for a screen for supporting health guidance, which describes that "In the graph screen 3, by inputting morning weight, evening weight, and number of steps in the data input area 11 for each day during the health guidance period, a weight graph 7e and a step count graph 7g are displayed in the graph display area 7, and by checking the 100 kcal cards that have been selected and determined in the 100 kcal card display area 12 and have performed the action to be guided, the card achievement rate according to the number of checked 100 kcal cards is displayed in the daily card achievement rate display frame 7d1 for the corresponding day" (see Patent Document 1). [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2010-86213 A Summary of the Invention [Problem to be solved by the invention]

[0005] When a person is trying to lose weight by aiming to lose 5% of their body weight, if the person reaches the target weight during the weight loss period, they will continue to eat and exercise to maintain the weight they have achieved. In this case, for example, by maintaining basal metabolism through moderate exercise and increasing the amount of food eaten to the extent that weight does not increase, it is possible to review lifestyle habits in accordance with the goal of maintaining weight rather than losing weight. On the other hand, in the case of social participation, it is not enough to change the method once a preset target value is achieved, but it is necessary to implement a method that allows for continued social participation over a long period of time. When continuing social participation for a long period of time, such as working or participating in a hobby club, there are many social participations that are not carried out every day, for example, working five times a week and participating in a hobby club once a week or once every two weeks. For this reason, it is possible to set the average number of social participations over several days as the target value, but in this case, it is necessary to calculate the average number of social participations every day and the average number of social participations over several days, respectively, so that the progress toward the target value can be grasped, rather than simply using a single value measured at a certain point in time, such as weight. Moreover, the situation of social participation varies greatly depending on living environment and individuals, so if a fixed target value for social participation is set, if the set target value is not achieved every time, it will damage motivation to participate in society. Also, if a target value is set only based on the social participation activities of others, the target value will go up and down depending on the activities of others, and even if you try hard, it will be difficult to achieve the goal, which will damage motivation to participate in society.

[0006] The present invention aims to set a target value for the number of social participations depending on the participant's past social participation history. [Means for solving the problem]

[0007] In order to solve the above problem, the present invention is characterized by comprising a measurement unit that inputs location information associated with the participant's actions from the participant's information terminal and measures the participant's number of social participations based on the input location information of the participant, a storage unit that sequentially accumulates the measurement values ​​of the measurement unit for each measurement day, a target value setting unit that sets a target value for the participant's number of social participations based on the cumulative value of the number of social participations accumulated in the accumulation unit, and an output unit that outputs the cumulative value of the number of social participations accumulated in the accumulation unit and the target value for the number of social participations set by the target value setting unit. Effect of the Invention

[0008] According to the present invention, a target value for the number of social participations can be set according to the participant's past social participation status. [Brief description of the drawings]

[0009] [Figure 1] 1 is a block diagram showing an overall configuration of a behavior analysis system according to an embodiment of the present invention. [Diagram 2] 2 is a configuration diagram showing an example of the configuration of a participant information DB in the behavior analysis device according to an embodiment of the present invention. FIG. [Diagram 3] 2 is a configuration diagram showing an example of the configuration of a social participation record DB in the behavior analysis device according to the embodiment of the present invention. FIG. [Figure 4] 13 is a configuration diagram showing another configuration example of the social participation record DB in the behavior analysis device according to the embodiment of the present invention. FIG. [Diagram 5] 11 is a diagram showing an example of the configuration of a social participation classification table in the behavior analysis device according to an embodiment of the present invention. FIG. [Figure 6] 11 is a diagram showing an example of the configuration of a message master table in the behavior analysis device according to an embodiment of the present invention. FIG. [Figure 7] 2 is a configuration diagram showing an example of the configuration of a message ID list in the behavior analysis device according to an embodiment of the present invention. FIG. [Figure 8] 1 is a diagram showing an example of the configuration of a sent message list in a behavior analysis device according to an embodiment of the present invention; [Figure 9]FIG. 2 is a diagram showing an example of the structure of a pamphlet for the behavior analysis device according to an embodiment of the present invention. [Figure 10] 11 is a diagram showing an example of the configuration of a social participation facility master table in the behavior analysis device according to an embodiment of the present invention. FIG. [Figure 11] 13 is a diagram showing an example of the configuration of a local community participation record table in the behavior analysis apparatus according to an embodiment of the present invention. FIG. [Figure 12] 4 is a diagram showing an example of the configuration of a target value setting management table in the behavior analysis device according to an embodiment of the present invention. FIG. [Figure 13] 13 is a diagram showing another example of the configuration of the target value setting management table in the behavior analysis device according to an embodiment of the present invention. FIG. [Figure 14] 11 is a configuration diagram showing a display example of a target value setting screen in the behavior analysis device according to an embodiment of the present invention. FIG. [Figure 15] 13 is a configuration diagram showing an example of display of a target value correction graph in an activation mode in the behavior analysis device according to the embodiment of the present invention. FIG. [Figure 16] 11 is a flowchart illustrating a process for setting a target value for the number of social participations by a processing device of a behavior analysis apparatus according to an embodiment of the present invention. [Figure 17] 11 is a flowchart illustrating a message selection process performed by a processing device of a behavior analysis apparatus according to an embodiment of the present invention. [Figure 18] FIG. 13 is a configuration diagram showing a display example of a social participation confirmation screen in the behavior analysis device according to the embodiment of the present invention. [Figure 19] FIG. 2 is a diagram illustrating a bar graph configuration showing an example of a display on an output device in the behavior analysis apparatus according to an embodiment of the present invention. [Figure 20] FIG. 2 is a diagram illustrating a bar graph configuration showing an example of a display on an output device in the behavior analysis apparatus according to an embodiment of the present invention. [Figure 21] 1 is a diagram showing an example of a display on an output device in a behavior analysis apparatus according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0010] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. EXAMPLES

[0011] Fig. 1 is a block diagram showing the overall configuration of a behavior analysis system according to an embodiment of the present invention. In Fig. 1, the behavior analysis system includes mobile terminals 10 and 11, a behavior analysis device 20, and a management terminal 40, and each of the mobile terminals 10 and 11 and the behavior analysis device 20 are connected via a first communication network (not shown), and the behavior analysis device 20 and the management terminal 40 are connected via a second communication network (not shown). A LAN (Local Area Network) or the Internet can be used as the first communication network and the second communication network.

[0012] Each of the mobile terminals 10, 11 is an information terminal that transmits and receives information to and from the behavior analysis device 20, and is configured, for example, by a computer (not shown) equipped with a processor, a storage device, an input device, an output device, and a communication device. Each of the mobile terminals 10, 11 transmits location information (location information based on a GPS (Global Positioning System) signal) indicating the location of each of the mobile terminals 10, 11, which is associated with the behavior of the owner of each of the mobile terminals 10, 11, to the behavior analysis device 20 via a first communication network, and receives information such as the number of social participations, messages, pamphlets, etc. from the behavior analysis device 20 via the first communication network. At this time, each of the mobile terminals 10, 11 can add an identifier (user identifier) ​​that uniquely identifies each of the mobile terminals 10, 11 to the location information and transmit it.

[0013] The behavioral analysis device 20 includes a participant information DB (DataBase) 21, a social participation record DB 22, a social participation classification table 23, a message master table 24, a pamphlet master table 25, a social participation facility master table 26, a local community participation record table 27, a target value setting management table 28, and a processing device 29, and each DB, each table, and the processing device 29 are connected via a transmission path (not shown).

[0014] The participant information DB21 is a database for managing information on participants (owners of mobile terminals 10, 11). The social participation record DB22 is a database for managing the social participation record of participants. The social participation classification table 23 is a table for managing the social participation of participants by classifying them into social participation categories and facility categories. The message master table 24 is a table for managing messages to be distributed to participants. The pamphlet master table 25 is a table for managing pamphlets to be distributed to participants. The social participation facility master table 26 is a table for managing facilities in which participants participate. The local community participation record table 27 is a table for managing facilities and areas in which participants participate. The target value setting management table 28 is a table for managing the target value for the number of times a participant participates in society.

[0015] The processing device 29 is configured, for example, by a computer (not shown) equipped with a processor, a main memory device, an auxiliary memory device, an input device, an output device, and a communication device, and is located, for example, in a social participation activation service center that provides services to support the activation of social participation.

[0016] The processor is configured using, for example, a CPU (Central Processing Unit) and an MPU (Micro Processing Unit).

[0017] The main memory device is a device that stores computer programs and data, and is, for example, a Read Only Memory (ROM), a Random Access Memory (RAM), or a non-volatile semiconductor memory.

[0018] Examples of auxiliary storage devices include hard disk drives, SSDs (Solid State Drives), optical storage media (i.e., CDs (Compact Discs) and DVDs (Digital Versatile Discs)), storage systems, IC cards (Integrated Circuit Cards), SD (Secure Digital) memory cards, and other storage medium read / write devices, as well as storage areas of cloud servers. Computer programs and data stored in the auxiliary storage devices are loaded into the main storage device as needed.

[0019] The computer programs stored in the auxiliary storage device include, for example, a measurement program that measures the number of times a participant participates in society, a target value setting program that sets a target value for the number of times a participant participates, a message selection program that selects a specified message from a plurality of messages, and a message sending program that sends message information to the participants' mobile terminals 10, 11. The CPU of the processing device 29 reads out and executes the measurement program, target value setting program, message selection program, and message sending program from the auxiliary storage device, thereby realizing the functions of the measurement unit, goal setting unit, message selection unit, and message unit in the processing device 29.

[0020] Examples of input devices include keyboards, mice, touch panels, card readers, and audio input devices. Output devices (display devices) are user interfaces that provide users with various information such as processing progress and results. Examples of output devices include screen display devices (i.e., liquid crystal monitors, LCDs (Liquid Crystal Displays), or graphics cards), audio output devices (i.e., speakers, etc.), or printers, etc.

[0021] The communication device is a wired or wireless communication interface that realizes communication with other devices via a communication means such as a LAN, the Internet, etc. The communication device is, for example, a Network Interface Card (NIC), a wireless communication module, a Universal Serial Bus (USB) module, or a serial communication module.

[0022] The management terminal 40 is a terminal that transmits and receives information to and from the behavior analysis device 20, is composed of a computer (not shown) equipped with a processor, a main memory device, an auxiliary memory device, an input device, an output device, and a communication device, and receives information indicating the participant implementation status from the behavior analysis device 20 via the second communications network, and transmits information relating to the operation of the service, such as participant registration / deletion and setting and updating of each table, to the behavior analysis device 20 via the second communications network. The management terminal is mainly used by the operator of the service.

[0023] Fig. 2 is a diagram showing an example of the configuration of a participant information DB in a behavior analysis device according to an embodiment of the present invention. In Fig. 2, participant information DB 21 is a database of participant information stored in an auxiliary storage device, and is composed of UID 21a, registration date 21b, gender 21c, date of birth 21d, home longitude 21d, home latitude 21f, home altitude 21g, home facility name 21h, home area ID, workplace longitude 21j, workplace latitude 21k, workplace altitude 21m, workplace facility name 21n, and workplace area ID.

[0024] The UID 21a stores information such as "1" as an identifier for uniquely identifying the participant. The registration date 21b stores information on the date on which the participant registered the participant information in the behavior analysis device 20. The gender 21c stores information for identifying the gender of the participant, such as "1" for a male and "2" for a female. The date of birth 21d stores information on the participant's date of birth. The home longitude 21d stores information indicating the longitude of the participant's home. The home latitude 21f stores information indicating the latitude of the participant's home. The home altitude 21g stores information indicating the altitude (altitude) of the participant's home. The home facility name 21h stores information indicating the facility name if the participant's home is a facility. The home area ID (21i) stores information of an identifier for identifying the area in which the participant's home is located. The workplace longitude 21j stores information indicating the longitude of the participant's workplace. The workplace latitude 21k stores information indicating the latitude of the participant's workplace. The workplace altitude 21m stores information indicating the altitude (altitude) of the participant's workplace. The workplace facility name 21n stores information indicating the facility name if the participant's workplace is a facility. The workplace area ID (21p) stores identifier information identifying the area where the participant works. Information is stored in 21j, 21k, 21m, 21n, and 21p if the participant is employed.

[0025] 3 is a diagram showing an example of the configuration of a social participation record DB in a behavior analysis device according to an embodiment of the present invention. In FIG. 3, the social participation record DB 221 is a database that stores information indicating the daily social participation record of a participant, belongs to the social participation record DB 22, and is stored in an auxiliary storage device. This social participation record DB 221 is composed of a date 221a, a number of times going out 221b, a number of places of stay 221c, a number of times going out without a place of stay 221d, a number of times of social participation 221e, a place of stay 221f, a place of stay 221g, and a place of stay 221h. The place of stay 221f is composed of a PID 221i and a number of times of stay 221j, the place of stay 221g is composed of a PID 221k and a number of times of stay 221m, and the place of stay 221h is composed of a PID 221n and a number of times of stay 221p.

[0026] Date 221a stores date information indicating the date of the participant's daily social participation, for example, information indicating a 10-day measurement period from "October 1, 2021" to "October 10, 2021". Number of times going out 221b stores information indicating the number of times the participant went out on that day. Number of places stayed 221c stores information indicating the number of places (places to stay) where the participant went out for social participation. Number of times going out without a place to stay 221d stores information indicating the number of times the participant went out for a walk, jogging, etc., and where there was no place to visit as part of social participation.

[0027] The number of social participations 221e stores information indicating the number of times the participant participated in social activities, which is the total number of stays at all destinations (the total number of stays stored in the number of stays 221j, 221m, and number of stays 221p). The PIDs 221i, 221k, and 221n of destinations 221f to 221h store information indicating identifiers of facilities where the participant stayed as a social participant. The number of stays 221j, 221m, and number of stays 221p of destinations 221f to 221h store information indicating the number of times the participant stayed at a destination as a social participant.

[0028] In this example, the number of social participations over the 10 days is 17. Note that on October 4, 2021 and October 9, 2021, the sum of the number of stays at all destinations (the sum of the number of stays stored in number of stays 221j, 221m, and number of stays 221p) and the sum of the number of outings stored in number of outings without a destination 221d do not match the number stored in number of outings 221b. This is because the participant visited multiple destinations in one outing.

[0029] Fig. 4 is a configuration diagram showing another example of the social participation record DB in the behavior analysis device according to the embodiment of the present invention. In Fig. 4, the social participation record DB 222 is a database that stores information indicating the social participation record of the participant for the past 10 days, belongs to the social participation record DB 22, and is stored in the auxiliary storage device. This social participation record DB 222 is composed of a period ID 222a, a period 222b, the number of social participations (R) 222c, the number of places of stay 222d, a place of work / commuting 222e, a place of eating / shopping 222f, and others 222g. The place of work / commuting 222e is composed of the number of stays (W) 222h and the number of places of stay 222i, the place of eating / shopping 222f is composed of the number of stays 222j and the number of places of stay 222k, and others 222g is composed of the number of stays 222m and the number of places of stay 222n.

[0030] The period ID 222a stores an identifier assigned to each measurement period after the participant participates in society. For example, a number starting from "1" and increasing by one for each measurement period is stored. The period 222b stores date information indicating a 10-day measurement period. The number of social participations (R) 222c stores information indicating the number of times the participant participated in society in each measurement period. The number of places of stay 222d stores information indicating the number of places of stay where the participant stayed in each measurement period. The number of stays (W) 222h of the place of employment / commuting 222e stores information indicating the number of stays when the participant stayed at the place of employment / commuting in each measurement period. The number of places of stay 222i of the place of employment / commuting 222e stores information indicating the number of places of stay when the participant stayed at the place of employment / commuting in each measurement period. The number of stays 222j of the dining / shopping 222f stores information indicating the number of stays when the participant stayed at a dining / shopping destination during each measurement period. The number of places of stay 222k of the dining / shopping 222f stores information indicating the number of places of stay when the participant stayed at a dining / shopping destination during each measurement period. The number of stays 222m of the other 222g stores information indicating the number of stays when the participant stayed at other destinations during each measurement period. The number of places of stay 222n of the other 222g stores information indicating the number of places of stay when the participant stayed at other destinations during each measurement period.

[0031] 5 is a diagram showing an example of the configuration of a social participation classification table in a behavior analysis device according to an embodiment of the present invention. In FIG. 5, the social participation classification table 23 is a table stored in an auxiliary storage device, and is made up of a social participation category 23a and a facility category 23b.

[0032] In the social participation category 23a, for example, "place of work / commuting", "dining / shopping", and "other" are stored as information specifying the category of social participation of the participant. In the facility category 23b, for example, "work facility", "community center", "gymnasium", and "educational facility" are stored as information specifying the facility in which the participant participates, corresponding to the "place of work / commuting" of the social participation category 23a, and "grocery store", "pharmacy", and "convenience store" are stored as information specifying the facility in which the participant participates, corresponding to the "place of work / commuting" of the social participation category 23a. Here, "place of work / commuting" means social participation (social participation) in which the participant actively interacts with other people. "Dining / shopping" means social participation in which the participant mainly purchases and eats at places other than the "place of work / commuting". "Other" means social participation linked to the facility category 23b not defined in the "place of work / commuting" and "dining / shopping", for example, participation in "barber shop", "theater", "game center", etc.

[0033] Fig. 6 is a diagram showing an example of the configuration of a message master table in a behavior analysis device according to an embodiment of the present invention. In Fig. 6, message master table 24 is a table stored in an auxiliary storage device of behavior analysis device 20, and is composed of message ID 24a, focus point of social participation during the measurement period (condition 1) 24b, social participation state (condition 2) 24c, message expression method 24d, message template 24e, and pamphlet type ID 24f.

[0034] The message ID 24a stores information such as "1" to "14" as an identifier for uniquely identifying a message to be processed by the processing device 29. The social participation focus point (condition 1) 24b during the measurement period stores information on the social participation focus point, such as "goal achievement" when the message ID 24a is "1". Other information on the social participation focus point (condition 1) 24b during the measurement period includes "number of participations in work / commuting places" and "number of social participations 10 times or more". The social participation status (condition 2) 24c stores information on the social participation status, such as "goal achievement" when the message ID 24a is "1". Other information on the social participation status includes "improvement", "maintenance", "implementation", and "goal not achieved". The message expression method 24d stores information on the message expression method, such as "instructor" when the message ID 24a is "1". Other information on the message expression method includes "other experts". In the message template 24e, for example, when the message ID 24a is "1", information such as "You've achieved your goal for the number of social participations. That's great" is stored as information related to the message template.

[0035] If the message ID 24a is "2", the message template 24e stores the information "It's great that you achieved your goal of participating in society. Teacher XX also praised you." If the message ID 24a is "7", the message template 24e stores the information "You are interested in participating in society and are continuing this activity, which is wonderful." If the message ID 24a is "9", the message template 24e stores the information "You are increasing your activities in places of employment and commuting. It's wonderful that you are working hard." If the message ID 24a is "13", the message template 24e stores the information "You are continuing your participation in society. You are an example to everyone because you are continuing this activity."

[0036] In the pamphlet type ID 24f, as an identifier for specifying the type of pamphlet, for example, when the message ID 24a is "1", in order to specify three types of pamphlets, information such as "1, 2, 3" is stored.

[0037] Here, when the focus of social participation (condition 1) 24b during the measurement period is "number of social participations", "achievement of the goal" in the social participation status (condition 2) 24c means that the number of social participations has achieved the goal, that is, it satisfies the condition of R[i]>T[i] or R[i]=T[i]. R[i] is the actual value of the number of social participations in the period ID = i. T[i] is the target value of the number of social participations in the period ID = i.

[0038] When the focus of social participation (condition 1) 24b during the measurement period is "number of social participations", "improvement" in the social participation status (condition 2) 24c means that the number of social participations has improved compared to the previous state (the previous measurement period), that is, it satisfies the condition of R[i]>R[i - 1].

[0039] When the focus of social participation (condition 1) 24b during the measurement period is "number of social participations", "maintenance" in the social participation status (condition 2) 24c means that the number of social participations has been maintained in the previous state, that is, it satisfies the condition of R[i]=R[i - 1].

[0040] When the focus of social participation (condition 1) 24b during the measurement period is "number of social participations", "non - achievement of the goal" in the social participation status (condition 2) 24c means that the number of social participations has not achieved the goal, that is, it satisfies the condition of R[i]<R[i - 1].

[0041] When the focus of social participation (condition 1) 24b during the measurement period is "number of participations in workplaces and commuting places", "improvement" in the social participation status (condition 2) 24c means that the number of participations in workplaces and commuting places has improved compared to the previous state, that is, it satisfies the condition of W[i]>W[i - 1]. W[i] is the actual value of the number of stays in workplaces and commuting places in the period ID = i.

[0042] When the focal point of social participation during the measurement period (Condition 1) 24b is the “number of times participating in places of employment or commuting,” “maintenance” in the social participation status (Condition 2) 24c means that the number of times participating in places of employment or commuting is maintained at the previous state, and the condition W[i] = W[i-1] is satisfied.

[0043] When the focus point (condition 1) 24b of social participation during the measurement period is “the number of times of social participation is 10 or more,” “implemented” in the social participation state (condition 2) 24c means that the number of times of social participation is 10 or more, and satisfies the condition R[i]>10 or R[i]=10.

[0044] Fig. 7 is a diagram showing an example of the configuration of a message ID list in a behavior analysis apparatus according to an embodiment of the present invention. In Fig. 7, message ID list 241 is a list related to message master table 24, and is a list stored in the auxiliary storage device of behavior analysis apparatus 20. Message ID list 241 is made up of priority order 241a and message ID 241b.

[0045] Message ID list 241 stores numerical identifier information for identifying the priority of messages recorded in message master table 24. For example, message ID list 241 stores numerical values ​​"1" to "8" in descending order of priority of messages recorded in message master table 24.

[0046] The message ID list 241 manages the priority of the message ID to be selected when there are multiple messages that satisfy the social participation focus point (condition 1) 24b and the social participation state (condition 2) 24c in the measurement period in the message master table 24 shown in Fig. 6, that is, when there are multiple message IDs that satisfy conditions 1 and 2. For example, when the period with period ID 3 in Fig. 4 ends, R[i-1] = 15, R[i] = 17, W[i-1] = 6, W[i] = 8, and T[i] = 15, and the message IDs that satisfy conditions 1 and 2 are the eight message IDs ("1", "2", "3", "4", "9", "10", "13", and "14") shown in the message ID 241b in Fig. 7. The priority of selecting one from the multiple message IDs is 241a in Fig. 7.

[0047] Fig. 8 is a diagram showing an example of the configuration of a sent message list in a behavior analysis device according to an embodiment of the present invention. In Fig. 8, sent message list 242 is a list related to message master table 24, and is a list stored in the auxiliary storage device of behavior analysis device 20. This sent message list 242 is made up of message ID 242a, number of sent messages 242b, and last sent date and time 242c.

[0048] The message ID 242a stores information on an identifier that identifies an identifier recorded in the message ID 24a of the message master table 24. The number of times already sent 242b stores information indicating the number of times a message has been sent. The last sent date and time 242c stores information (year, month, date, time) indicating the last sent date and time of a message that has already been sent.

[0049] FIG. 9 is a diagram showing an example of the structure of a pamphlet in a behavior analysis device according to an embodiment of the present invention. In FIG. 9, pamphlets P1 to P3 are stored in a pamphlet master table 25 stored in an auxiliary storage device of the behavior analysis device 20. The pamphlet P1 is a pamphlet that is identified when the pamphlet type ID 24f in the message master table 24 is "1", and information that "municipalities with a higher rate of social participation have a longer healthy life expectancy" is recorded in the pamphlet P1. The pamphlet P2 is a pamphlet that is identified when the pamphlet type ID 24f in the message master table 24 is "2", and information that "just watching sports reduces the risk of depression" is recorded in the pamphlet P2. The pamphlet P3 is a pamphlet that is identified when the pamphlet type ID 24f in the message master table 24 is "3", and information that "elderly people who participate in hobby or sports clubs at least once a week have lower nursing care costs" is recorded in the pamphlet P3.

[0050] Fig. 10 is a diagram showing an example of the configuration of a social participation facility master table in a behavior analysis device according to an embodiment of the present invention. In Fig. 10, the social participation facility master table 26 is a table stored in the auxiliary storage device of the behavior analysis device 20, and is a table in which information on social participation facilities is recorded. This social participation facility master table 26 is composed of PID 26a, registration time 26b, latitude 26c, longitude 26d, altitude (m) 26e, facility size 26f, facility name 26g, address 26h, parent facility PID 26i, and facility category 26j. At this time, the facility category is added to a table (POI table) of facility names existing at coordinate positions on the map.

[0051] The PID 26a stores information of an identifier that uniquely identifies a facility for social participation. The registration time 26b stores information (year, month, day, and time) indicating the registration time when the service operator registered the facility related to social participation. The latitude 26c stores information of latitude indicating the location of the facility. The longitude 26d stores information of longitude indicating the location of the facility. The altitude (m) 26e stores information indicating the altitude (altitude) of the facility. The facility size 26f stores information of an identifier that identifies the size of the facility. The facility name 26g stores information that identifies the name of the facility. The address 26h stores information that indicates the address where the facility is located. The parent facility PID 26i stores information of an identifier that identifies a parent facility that has a parent relationship with the facility. For example, when there is a subordinate relationship between facilities, such as a relationship between a shopping center and a store in the center, the identifier information that identifies the subordinate relationship is stored. The facility category 26j stores information indicating the category to which the facility belongs, such as "residential facility," "community center," "pharmacy," "restaurant," "work facility," "grocery store," and "large-scale commercial facility."

[0052] FIG. 11 is a diagram showing an example of the configuration of a local community participation record table in a behavior analysis device according to an embodiment of the present invention. In FIG. 11, the local community participation record table 27 is a table stored in an auxiliary storage device of the behavior analysis device 20, and is a table that records the number of social participations by sex and age during a measurement period (10 days) based on the social participation records of each local resident. This local community participation record table 27 is composed of a local area ID 27a, a male 27b, and a female 27c. The male 27b is composed of under 20 years old 27d, 20 to 39 years old 27e, 40 to 59 years old 27f, 60 to 74 years old 27g, 75 to 84 years old 27h, and 85 years old or older 27i. The female 27c is composed of under 20 years old 27j, 20 to 39 years old 27k, 40 to 59 years old 27m, 60 to 74 years old 27n, 75 to 84 years old 27p, and 85 years old or older 27q.

[0053] The area ID 27a stores an identifier that uniquely identifies the area in which the participant participated. The male 27b stores information indicating the number of times that the male participant participated in society during the measurement period (10 days) by age. The female 27c stores information indicating the number of times that the female participant participated in society during the measurement period (10 days) by age.

[0054] The number of social participations in the measurement period (10 days) by gender and age for each region ID is calculated by classifying all participants of this service using the gender 21c, date of birth 21d, and home region ID 21i stored in the participant information DB 21 in FIG. 2, and calculating from the actual number of social participations of the classified multiple participants (number of social participations (R) 222c of social participation actual number 222 in FIG. 4). Specifically, a value calculated by excluding participants who participated in social activities once or less in 10 days (participants who are determined to have no activity record) is used. Alternatively, the most frequent value is adopted instead of the average value. In this way, by calculating from the records of participants of the service, people who have the same background as participants of the service can be considered as the record of social participation. In addition, by excluding participants who are determined to have no activity record or by using the most frequent value, the actual value of people who are engaged in social participation activities can be calculated. Therefore, an actual value suitable as a target value of social participation as a service aimed at promoting social participation can be obtained. In addition, since the actual performance values ​​are calculated by the home region using the regional ID, it is possible to solve the difficult problem that social participation is easily influenced by the living environment, and if the target number of times social participation is set to a fixed number, motivation to participate in society is lost if the set target number is not achieved every time.

[0055] Fig. 12 is a diagram showing an example of the configuration of a target value setting management table in a behavior analysis device according to an embodiment of the present invention. In Fig. 12, a target value setting management table 281 is a table for managing the target value of the number of social participations of the participants for each measurement period, belongs to the target value setting management table 28, and is stored in an auxiliary storage device. This target value setting management table 281 is composed of a period ID 281a, a target value setting date and time 281b, a target setting mode (M) 281c, an activation mode 281d, a maintenance mode 281e, and a target value (T) 281f of the number of social participations. The activation mode 281d is composed of a minimum number of social participations (L) 281g and an upper limit number of social participations (U) 281h. The maintenance mode 281e is composed of a manually set number of social participations (I) 281i.

[0056] The period ID 281a stores information of an identifier that uniquely identifies the measurement period of the participant's social participation frequency. The target value setting date and time 281b stores information (year, month, day, and time) indicating the date and time when the target value of the social participation frequency was set in the measurement period. The goal setting mode (M) 281c stores information when the participant selected "activation" or "maintenance" as the goal setting mode in the measurement period, for example, when "activation" is selected, "activation mode" is stored. The minimum number of social participations (L) 281g of the activation mode 281d stores information indicating the lower limit of the number of social participations in the activation mode in the measurement period when "activation mode" is stored in the goal setting mode (M) 281c. The upper limit number of social participations (U) 281h of the activation mode 281d stores information indicating the upper limit of the number of social participations in the activation mode in the measurement period when "activation mode" is stored in the goal setting mode (M) 281c. The manually set number of social participations (I) 281i belonging to the maintenance mode 281e stores information indicating the value that the participant manually set as the number of social participations after selecting "maintenance" as the goal setting mode during the measurement period. Note that if "-1" is recorded in the manually set number of social participations (I) 281i, it means that the number of social participations has not been manually set.

[0057] The target value (T) 281f of the number of social participations stores information indicating the target value of the number of times the participant will participate in society during the measurement period. When the period ID 281a is "1", it is an example of starting in the activation mode, and the target value 281f of the number of social participations is set to "15" as the standard number of social participations based on the social participation record (record ("15.2") recorded in the local community participation record table 27) of a male participant aged 60 to 74 who belongs to area ID=001. The information recorded in the target value (T) 281f of the number of social participations is updated sequentially based on the participant's social participation record.

[0058] Fig. 13 is a diagram showing another example of the configuration of the target value setting management table in the behavior analysis device according to the embodiment of the present invention. In Fig. 13, the target value setting management table 282 is a table for managing the target value of the number of social participations of the participants for each measurement period, belongs to the target value setting management table 28, and is stored in the auxiliary storage device. This target value setting management table 282 is composed of a period ID 282a, a target value setting date and time 282b, a goal setting mode (M) 282c, an activation mode 282d, a maintenance mode 282e, and a target value (T) 282f of the number of social participations. The activation mode 282d is composed of a minimum number of social participations (L) 282g and an upper limit number of social participations (U) 282h. The maintenance mode 282e is composed of a manually set number of social participations (I) 282i.

[0059] The target value setting management table 282 is configured in the same format as the target value setting management table 281, and each item of the target value setting management table 282 stores the same information as each item of the target value setting management table 281.

[0060] When the period ID 282a is "1" to "4", the same information as that of the items in the target value setting management table 281 is stored in each item of the target value setting management table 282. On the other hand, when the period ID 282a is "5", information when the target value is manually changed by the participant is recorded in the target value setting management table 282. For example, when a participant manually sets the target value to 15 times in order to set the target value set in the activation mode to the target value in the maintenance mode, "maintenance mode" is recorded in the goal setting mode (M) 282c of the target value setting management table 282, "15" is recorded in the manually set number of social participations 282i, and "15" is recorded in the target value (T) 282f of the number of social participations.

[0061] Here, the activation mode is a mode that is set when the participant makes an effort to promote social participation. The target value is set according to the participant's actual number of social participations. The maintenance mode is a mode that the participant can set as a target value when the participant has grasped the number of social participations that can be continuously performed through long-term use of the service. If the target value is constantly changed periodically according to the actual value, the participant will continue to live according to the target value, which may lead to fatigue in daily life and make it difficult to maintain the number of social participations. In such cases, the target value can be fixed using the maintenance mode. By using these two modes properly, the participant can comfortably engage in efforts that pay attention to social participation for a long period of time.

[0062] FIG. 14 is a configuration diagram showing a display example of a target value setting screen in a behavior analysis device according to an embodiment of the present invention. In FIG. 14, a target value setting screen 300 is a screen displayed on a display device of the behavior analysis device 20, and information on a "goal setting mode", a "upper limit of the number of times of social participation", a "lower limit of the number of times of social participation", and a "current target value of the number of times of social participation" are displayed from the upper side to the lower side on the target value setting screen 300. A selection box 301 for selecting an activation or maintenance mode is displayed below the "goal setting mode". A setting box 302 for setting the upper limit of the number of times of social participation is displayed below the "upper limit of the number of times of social participation". A setting box 303 for setting the lower limit of the number of times of social participation is displayed below the "lower limit of the number of times of social participation". A setting box 304 for setting the target value of the current number of times of social participation is displayed below the "current target value of the number of times of social participation". Below the setting box 304, there are displayed a cancel button 305 for canceling the value set in each setting box, an undo button 306 for returning the value set in each setting box to the original value, and a set button 307 for registering the value set in each setting box.

[0063] The target value set by the algorithm is displayed as "current social participation target value" in the setting box 304. If the participant needs to change the value displayed in the setting box 304, the participant can change the value displayed in the setting box 304 and then press the setting button 307 to register the changed value.

[0064] When the participant switches the goal setting mode in the setting box 301 from "activation" to "maintenance", the goal value setting screen switches from the goal value setting screen 300 to the goal value setting screen 310. At this time, the goal value setting screen 310 displays information on "goal setting mode" and "target value of number of social participations", as well as selection boxes 301 and 308, a cancel button 305, a return button 306, and a setting button 307. At this time, when the participant sets the target value of the number of social participations in the "maintenance" mode to "15", the setting box 308 displays the information on "15". The selection box 301 functions as a mode setting unit that sets the target value setting mode of the target value of the number of social participations in the target value setting unit of the processing device 29 to either the activation mode or the maintenance mode, and when the participant switches the goal setting mode in the setting box 301 from "activation" to "maintenance", the information by switching the setting box 301 is transferred to the target value setting unit of the processing device 29. The target value setting unit determines whether the target value setting mode is the activation mode or the maintenance mode based on the information from the setting box 301, and in this case determines that the target value setting mode is the activation mode.

[0065] Fig. 15 is a configuration diagram showing an example of the display of a target value correction graph in the activation mode in a behavior analysis device according to an embodiment of the present invention. In Fig. 15, target value correction graph 400 in the activation mode is a graph displayed on the display device of behavior analysis device 20, with the horizontal axis b indicating the target value before correction, for example, the target value B of the current number of social participations, and the vertical axis g indicating the target value after correction, for example, the target value B of the current number of social participations.

[0066] The target value correction graph 400 in the activation mode shows characteristics that before correction, the value is maintained at a constant value from 0 to B-30%, the value changes linearly from B-30% to B+10%, and the value is maintained constant when it exceeds B+10%. After correction, the target value correction graph 400 shows characteristics that the value is maintained at a constant value from 0 to B-30%, the value changes linearly from B-30% to B+10%, and the value is maintained constant when it exceeds B+10%.

[0067] In the target value correction graph 400, the correction thresholds that limit the change on the vertical axis (target value after correction) relative to the horizontal axis (target value before correction) are set to different values ​​of +10% on the increasing side and -30% on the decreasing side with respect to the current number of times of social participation target value B. This makes it possible to better avoid a decrease in motivation to continue the initiative and an increase in mental and physical stress due to a significant increase in the target value for promoting social participation (increasing the number of times going out), leading to continued use of the service, compared to when the same correction thresholds are set on the increasing and decreasing sides.

[0068] In this embodiment, when a participant registers participant information such as gender, date of birth, home, and workplace in behavior analysis device 20, the participant information is registered in participant information DB 21 of FIG. 2. At this time, the relationship between the participant's home and the place of stay (destination) is managed in social participation facility master table 26 of FIG. 10. When a participant leaves home and goes out, location information (location information by GPS signal) associated with the participant's behavior is transmitted from the participant's mobile terminal (information terminal) 10. When processing device 29 of behavior analysis device 20 receives the location information from mobile terminal 10, a measurement unit of processing device 29 measures the number of social participations, which is the number of times the participant has participated in society, based on the received location information of the participant. At this time, for example, the measurement unit compares the participant's location information (location information from GPS signals) with the location information of the pre-set destination (location information of the facility recorded in the social participation facility master table 26, which is location information specified by latitude 26c, longitude 26d, altitude 26e, and facility name 26g), and if the two pieces of location information match, the number of social participations indicating that the participant has traveled to the destination is counted as one.

[0069] The measurement unit also refers to a social participation facility master table (facility location information storage unit) 26 that stores facility location information (facility location information specified by latitude 26c, longitude 26d, altitude 26e, and facility name 26g) indicating the locations of the participant's residential facility and the multiple social participation facilities where the participant will be staying, based on the participant's location information (location information by GPS signal), compares the participant's location information with the facility location information stored in the social participation facility master table 26, and can measure the participant's number of social participations as one on the condition that the participant's location information matches the facility location information of the participant's residential facility and then matches the facility location information of any one of the multiple social participation facilities (staying destinations). After this, if the participant moves from one social participation facility (staying destination) to another social participation facility (staying destination) and the participant's location information matches the facility location information of the other social participation facility (staying destination), the measurement unit measures the participant's number of social participations as two.

[0070] The measurement values ​​of the measurement unit are sequentially accumulated in the social participation record DB (accumulation unit) 221 of FIG. 3 for each measurement day. At this time, the daily measurement values ​​of the measurement unit are classified by the category of the place of stay (place of going out) and are sequentially recorded in one of the places of stay 221f, 221g, and 221h as the cumulative value of the number of social participations for each category. Furthermore, the measurement values ​​of the measurement unit for each measurement period of 10 days are sequentially accumulated in the social participation record DB (accumulation unit) 222 of FIG. 4. At this time, the measurement values ​​of each measurement period of 10 days are classified by the category of the place of stay (place of going out) and are recorded in one of the places of work / commuting 222e, meals / shopping 222f, and other 222g in the social participation record DB 222. Furthermore, the measurement values ​​of the measurement unit for each measurement period of 10 days are recorded in the local community participation record table 27 of FIG. 11 by the gender and age of the participant and the region of the place of stay.

[0071] The target value setting unit of the processing device 29 sets a target value of the number of times of social participation of the participant based on the cumulative value of the number of times of social participation accumulated in the social participation record DB (accumulation unit) 221, 222. For example, the target value setting unit sets the target value of the number of times of social participation of the participant in the next measurement period to the last day of the past measurement period or the first day of the next measurement period based on the cumulative value of the number of times of social participation accumulated in the social participation record DB 221, 222 during a measurement period including a plurality of measurement days, for example, the measurement period of the past 10 days (past measurement period). At this time, the target value setting unit sets the target value of the number of times of social participation of the participant in the next measurement period based on the participant characteristic information including the age and sex of the participant and the cumulative value of the number of times of social participation accumulated in the social participation record DB 221, 222 during the measurement period of the past 10 days. This makes it possible to set the target value of the number of times of social participation of the participant in the next measurement period according to the age and sex of the participant.

[0072] The target value setting unit also determines whether the target value setting mode selected by the participant is the activation mode or the maintenance mode (determines whether "Activation" is selected in the setting box 301 for the goal setting mode in FIG. 14 or whether "Maintenance" is selected in the setting box 301), and if it determines that the target value setting mode is the activation mode, it sets the target value for the number of times the participant will participate in society in the next measurement period to a value higher than the cumulative value of the number of times the participant participated in society accumulated in the social participation record DBs 221, 222 during the measurement period of the past 10 days. In other words, in order to further promote the participant's participation, the target value for the number of times the participant will participate in society in the next measurement period is set to a value higher than the cumulative value of the number of times the participant participated in society during the past measurement period.

[0073] On the other hand, when the target value setting unit determines that the target value setting mode is the maintenance mode, it sets the target value of the number of times the participant participates in society in the next measurement period to a preset setting value. That is, in order to aim to maintain the current level of social participation of the participant, the target value of the number of times the participant participates in society in the next measurement period is set to a preset setting value (a value equal to or less than the cumulative value of the number of times the participant participates in society accumulated in past measurement periods).

[0074] 16 is a flowchart for explaining the process of setting a target value for the number of social participations by the processing device of the behavior analysis device according to an embodiment of the present invention. An example of setting a target value for the number of social participations for the next measurement period based on the actual number of social participations up to the previous measurement period will be described below. This process is started by the CPU of the processing device 29 activating a target value setting program for setting a target value for the number of social participations after the measurement up to the previous measurement period is completed.

[0075] 16, when the UID (identifier for identifying the participant) of a target participant is set, the processing device 29 assigns the current period ID to "i" (S1) and judges whether M[UID] (participant's goal setting mode) is in the maintenance mode or not (S2). When the processing device 29 judges that the mode is the maintenance mode in step S2 (Y=Yes), it judges whether I[UID] (the target value of the number of social participations manually set by the participant) is set or not (S3), and when the processing device 29 judges that the mode is not the maintenance mode in step S2 (N=No), that is, when M[UID] (participant's goal setting mode) is in the activation mode, it proceeds to the processing of step S7.

[0076] If the processing device 29 determines in step S3 that I[UID] (the target number of social participations manually set by the participant) has not been set (N), it sets a standard number of social participations g = A[UID] as a reference value (S4) and truncates the set value g to an integer (S5), and then proceeds to processing in step S16.If the processing device 29 determines in step S3 that I[UID] (the target number of social participations manually set by the participant) has been set (Y), it retrieves the target number of social participations g = I[UID] manually set by the participant (S6), and then proceeds to processing in step S16.

[0077] On the other hand, if the processing device 29 determines in step S2 that M[UID] (participant's goal setting mode) is not in maintenance mode (N), it determines whether or not "i" in the current period ID is "1" (S7), and if it determines in step S7 that "i" is "1" (Y), it sets the standard number of social participations g = A[UID] (S8), and then proceeds to processing in step S11, truncating the set value g to 1.

[0078] If the processing device 29 determines in step S7 that "i" is not "1" (N), it sets B in the correction graph 400 to B=T[i-1] and sets b in the correction graph 400 to b=R[i-1] (S9), then calculates the target value g of the standard number of participations from B and b in accordance with the correction graph 400 (S10), and truncates the calculated target value g to an integer (S11).

[0079] Next, the processing device 29 determines whether g, with the decimal points discarded in step S11, is greater than U[UID] (S12), and if it determines in step S12 that g is greater than U[UID] (Y), it sets g to the upper limit social participation count U[UID] set to UID (S13) in order to prevent the target value from being set higher than the upper limit, and then proceeds to processing in step S16.

[0080] If the processing device 29 determines in step S12 that g is not greater than U[UID] (N), it determines whether g is smaller than L[UID] (S14), and if it determines in step S14 that g is smaller than L[UID] (Y), it sets g to the minimum social participation count L[UID] set to UID (S15) in order to prevent the target value from being set lower than the lower limit, and then proceeds to processing in step S16.

[0081] Next, if the processing device 29 determines in step S14 that g is not smaller than L[UID] (N), or after the processing of steps S5, S6, S13, and S15, it sets T[i]=g and then terminates processing in this routine.

[0082] Here, when the participant's goal setting mode is selected as the activation mode, if the cumulative value of the number of social participations accumulated in the social participation record DB222 during the measurement period of the past 10 days is on the rise, the target value setting unit of the processing device 29 updates the target value of the number of social participations of the participant in the next measurement period in accordance with the increase in the cumulative value of the number of social participations during the past measurement period. In other words, if the target value of the number of social participations of the participant is suddenly increased, it will cause stress to the participant's mind and body, so the target value of the number of social participations of the participant in the next measurement period is updated in accordance with the increase in the cumulative value of the number of social participations during the past measurement period, and the participant is encouraged to increase the number of social participations within a range that does not cause stress to the participant's mind and body. At this time, the target value setting unit sets the target value of the number of social participations of the participant in the next measurement period to a value smaller than the upper limit, thereby preventing the target value of the number of social participations of the participant in the next measurement period from exceeding the upper limit.

[0083] On the other hand, when the participant's goal setting mode is selected as the activation mode, if the cumulative value of the number of social participations accumulated in the social participation record DB222 during the measurement period of the past 10 days is on a downward trend, the target value setting unit updates the target value of the number of social participations of the participant in the next measurement period in accordance with the decrease in the cumulative value of the number of social participations during the past measurement period. In other words, if the target value of the number of social participations of the participant is suddenly decreased, the participant's mind and body will be stressed, so the target value of the number of social participations of the participant in the next measurement period is updated in accordance with the decrease in the cumulative value of the number of social participations during the past measurement period, and the decrease in the number of social participations of the participant is suppressed within a range that does not cause stress to the participant's mind and body. In this case, the target value setting unit sets the target value of the number of social participations of the participant in the next measurement period to a value greater than the lower limit, thereby preventing the target value of the number of social participations of the participant in the next measurement period from becoming equal to or smaller than the lower limit.

[0084] This allows us to set a target value according to the individual participant's social participation efforts to date. This solves the difficult problem that, since social participation varies greatly from person to person, if the target value for the number of social participations is set constant, participants lose motivation to participate in society if they are unable to achieve the set target value every time. In addition, while preventing a significant increase in the target number of social participations, if the actual value is small, for example, the number of social participations in the previous measurement period was one, it becomes possible to automatically set a target value that leads to promotion of social participation without exceeding the set range of decrease (-30% in this example). In this way, it becomes possible to continuously support activities aimed at promoting social participation over the long term.

[0085] 17 is a flow chart for explaining the message selection process by the processing device of the behavior analysis device according to the embodiment of the present invention. An example will be described below in which a message is selected according to the social participation status for this measurement period, based on the actual number of social participations at the time when all measurements for the period ID have been completed. This process is started by the CPU of the processing device 29 starting the message selection program and the message sending program after the measurement period has ended.

[0086] 17, when the UID (identifier for identifying a participant) of a target participant is set, the processing device 29 substitutes the current period ID for "i" (S21), and then reads out information on R[i], R[i-1], T[i], W[i], and W[i-1] (S22). For example, when the period with period ID 3 in FIG. 4 ends, R[i-1]=15, R[i]=17, W[i-1]=6, W[i]=8, and T[i]=15.

[0087] Next, the processing device 29 extracts all message IDs that correspond to the conditions (e.g., conditions 1 and 2) of the message master table 24 based on the information read in step S22 (S23). For example, when R[i-1]=15, R[i]=17, W[i-1]=6, W[i]=8, and T[i]=15, the processing device 29 extracts "1", "3", "5", "7", "9", "11", and "13" as message IDs that correspond to the information recorded in "social participation focus point in measurement period 24b" of condition 1 and "social participation state 24c" of condition 2.

[0088] Next, the processor 29 creates a message ID list by rearranging the message IDs extracted in step S23 in the order of "goal achievement," "improvement," "maintenance," "implementation," and "goal unachieved" based on the contents of condition 2 in the message master table 24 (S24). At this time, if there are multiple message IDs with the same rank in the created message ID list, the processor 29 creates a message ID list by rearranging the multiple message IDs with the same rank in message ID order. As another example of creating this message ID list, it can be created according to the number of messages used in the past for all participants of this service.

[0089] Next, the processor 29 refers to the number of times that the message IDs in the message ID list have been sent based on the sent message list 242, and excludes the message ID with the greatest number of times that it has been sent from the list (S25). For example, in the case of the sent message list 242, the processor 29 excludes "1" and "13" as message IDs.

[0090] Next, the processing device 29 selects from the message master table 24 the message with the highest message ID, for example, message ID = "2" ("It's great that you achieved your goal for the number of social participation events. Even your teacher praised you.") from the sent message list 242, excluding the message IDs "1" and "13" excluded in step S25, and updates the information recorded in the number of sent messages 242b and the last sent date and time 242c of the sent message list 242 (S26).

[0091] Next, the processing device 29 selects one pamphlet from the pamphlet type ID corresponding to the message selected in step S25 (the message with message ID="2") (S27). For example, the processing device 29 refers to the message master table 24 based on the message ID="2" and selects pamphlets identified by the identifiers ("1", "2", "3") recorded in the pamphlet type ID 24f of the message master table 24 one by one in order. Thereafter, the processing device 29 transmits information regarding the selected message, pamphlet, and number of social participations to the mobile terminal 10, and ends the processing in this routine.

[0092] In this embodiment, the message master table 24 functions as a message storage unit that stores information on a plurality of messages in association with the number of social participations measured by the measurement unit, for example, the number of social participations in each measurement period, and the message selection unit of the processing device 29 functions as a message selection unit that selects information on a specified message from information on a plurality of messages based on the measurement value of the measurement unit, for example, the measurement value in each measurement period. Also, the message transmission unit of the processing device 29 functions as a message transmission unit that transmits information on a specified message selected by the message selection unit to the mobile terminals (information terminals) 10 and 11 of the participants. At this time, the output device of the processing device 29 functions as an output unit that displays information on a specified message selected by the message selection unit on a screen.

[0093] In this way, we have made it possible to automatically select from multiple messages a message that matches the participant's social participation activity status and present it to the participant. In addition, the content of the message is automatically selected according to the achievement status of the goal set for each participant. This makes it possible to present appropriate advice to participants according to their activity status, which changes over time, regardless of whether they have achieved their goal or not, thereby realizing a service that supports long-term, continuous social participation.

[0094] In addition, a message ID list is used to specify only one message to be output. By limiting the information to be presented to only one, the amount of information presented to participants can be narrowed down to an appropriate amount, allowing participants to understand the information in a short amount of time, which can further increase the rate at which participants continue to use the service.

[0095] Furthermore, by using the list of already-sent messages, it becomes possible to prevent similar messages from being repeatedly presented within a short period of time, thereby enabling participants to maintain their interest in the messages presented to them, thereby further increasing the rate at which participants continue to use the service.

[0096] Fig. 18 is a configuration diagram showing a display example of a social participation confirmation screen in a behavior analysis device according to an embodiment of the present invention. In Fig. 18, a social participation confirmation screen 500 is a screen displayed on a display device of the behavior analysis device 20, and a bar graph showing the relationship between the number of days elapsed and the number of social participations during the measurement period from October 31 to November 9, 2021 is displayed in a display area 501 on the upper side of the social participation confirmation screen 500.

[0097] Below the display area 501 of the social participation confirmation screen 500, there are arranged a display column 502 for the number of times going out, a display column 503 for the number of places stayed, a display column 504 for the number of steps taken, and a display column 505 for a message, and the number of times going out display column 502 displays information about the number of times going out during the measurement period, the number of places stayed display column 503 displays information about the number of places stayed during the measurement period, the number of steps display column 504 displays information indicating the total number of steps taken during the measurement period, and the message display column 505 displays information about the message selected in step S26.

[0098] Below the message display field 505 on the social participation confirmation screen 500, there is arranged a display field 506 for displaying "Useful information for you," and a Learn More button 507. For example, "Just watching sports reduces the risk of depression" is displayed in the display field 506. At this time, by pressing the Learn More button 507, information from a pamphlet containing more detailed information is displayed in the display field 506. When the back button 508 located below the social participation confirmation screen 500 is operated, the social participation confirmation screen 500 displays the information before the back button 508 was operated.

[0099] Fig. 19 is a diagram showing the configuration of a bar graph showing an example of a display of an output device in a behavior analysis device according to an embodiment of the present invention. Fig. 19 is a bar graph showing the cumulative value of the number of social participations from the measurement start date piled up by social participation category, with the horizontal axis showing the number of days elapsed since the measurement date and the vertical axis showing the number of social participations of the participant. Fig. 19 shows, for example, a cumulative value C1 of working including commuting, a cumulative value C2 of shopping, and a cumulative value C3 including walking and others, by social participation category, as the cumulative value of the number of social participations from the measurement start date (the 1st) to the 30th day. At this time, target values ​​M1, M2, and M3 of the number of social participations for a predetermined fixed period (measurement period), for example, for every 10 days corresponding to the last day of the measurement period, are displayed. The target value M1 is set as an initial value, while the target value M2 is set to a value calculated using the actual number of social participations during the most recent fixed period. For example, the target value M2 is set to a value calculated using the actual number of social participations from the measurement start date (the 1st) to the 10th, and the target value M3 is set to a value calculated using the actual number of social participations from the 11th to the 20th. Furthermore, guideline L1, L2, and L3 are displayed from the start point (the end point of the previous 10-day period) to the end point of each 10-day period toward the target value. The guideline L1, L2, and L3 are displayed as a guideline for the number of social participations to be achieved daily in order to achieve the goal every 10 days.

[0100] At this time, if the cumulative value of the number of social participations accumulated in the social participation record DBs 221, 222 during the measurement period of the past 10 days is on the rise, the target value setting unit of the processing device 29 updates, for example, the target value M2 of the number of social participations of the participant during the measurement period (10 days) next to the past measurement period to a value higher than the target value M1 of the number of social participations of the participant during the past measurement period. This allows the participant to aim for further promotion.

[0101] As described above, the output device in the behavior analysis device 20 functions as an output unit that outputs (displays) the cumulative value of the number of social participations accumulated in the social participation record DB221, 222 and the target value of the number of social participations set by the target value setting unit of the processing device 29, and displays the cumulative value of the number of social participations accumulated in the social participation record DB221 for each measurement date on a screen with the vertical axis representing the number of social participations and the horizontal axis representing the number of days since the measurement date, and displays the target values ​​M1, M2, M3 of the number of social participations set by the target value setting unit of the processing device 29 on the measurement date corresponding to the last day of the measurement period (10-day measurement period) including a plurality of measurement dates among the measurement dates. At this time, the output device in the behavior analysis device 20 displays the cumulative value of the number of social participations accumulated in the social participation record DB221 on the screen as a bar graph for each measurement date by stacking them on top of each other.

[0102] Therefore, it becomes possible to check the daily social participation status and the target number of social participation times (number of social participation times on the final day of the 10-day measurement period) on one graph at the same time, and participants can grasp at a glance their social participation results to date and how much social participation they need to do to achieve their goal at the end of the measurement period. This makes it easier to carry out the social participation necessary to achieve the goal, and makes it possible to continuously work on promoting social participation.

[0103] FIG. 20 is a diagram showing a bar graph configuration example of a display of an output device in a behavior analysis device according to an embodiment of the present invention. FIG. 20 is a bar graph showing the cumulative value of the number of social participations from the measurement start date divided into fixed periods, with the horizontal axis being the number of days elapsed since the measurement start date, and the vertical axis being the number of social participations of the participant. In FIG. 20(a), as the cumulative value of the number of social participations from the measurement start date (1st) to the 10th, for example, the cumulative value C1 of work including commuting places, the cumulative value C2 of shopping, and the cumulative value C3 including walking and others are displayed by social participation category, and a guideline L1 is displayed. In FIG. 20(b), as the cumulative value of the number of social participations from the 11th to the 20th measurement date, for example, the cumulative value C1 of work including commuting places, the cumulative value C2 of shopping, and the cumulative value C3 including walking and others are displayed by social participation category, and a guideline L2 is displayed. In Fig. 20(c), the cumulative value of the number of social participations from the 21st to the 30th of the measurement date is displayed, for example, by social participation category, such as the cumulative value C1 of working including commuting, the cumulative value C2 of shopping, and the cumulative value C3 including walking and others, and a guideline L3 is displayed. Note that in Fig. 20, the cumulative value of the number of social participations from the measurement start date (the 1st) to the 30th is the same value as the cumulative value of the number of social participations shown in Fig. 19.

[0104] In this way, by dividing the measurement period into 10 days and displaying it, it is possible to solve the problem that the cumulative number of social participations of participants who have been participating in the service for a long time becomes large, making it difficult to adjust the scale of the vertical axis due to a large difference between the cumulative value from the time of joining the service and the target number of social participations over a 10-day period.

[0105] Fig. 21 is a diagram showing a display example of an output device in a behavior analysis device according to an embodiment of the present invention. Fig. 21 is a diagram showing the cumulative value of the number of social participations summarized as actual values ​​for every fixed period (10 days) for 200 days or more from the measurement start date, with the horizontal axis showing the number of days elapsed since the measurement start date and the vertical axis showing the number of times (number of social participations) by the participant every 10 days. Fig. 21 displays the actual value J, which is the cumulative value of the number of social participations summarized for every fixed period (10 days) for 200 days or more from the measurement start date, and the target value M for the fixed period. From Fig. 21, it is possible to grasp at once over a long period whether the actual value for every fixed period (10 days) has reached the target value or not, and how the target value M has been set for the actual value J.

[0106] According to this embodiment, a target value for social participation can be set according to the past social participation status of the participant. According to this embodiment, the daily social participation activity status and the number of social participations to be aimed for can be simultaneously confirmed on one graph, and it becomes possible to confirm at a glance how to achieve the target number. Furthermore, according to this embodiment, an appropriate target value is set according to the social participation status for the past 10 days, and it becomes possible to continue the efforts to activate social participation for a long period of time. Furthermore, according to this embodiment, it becomes possible to send appropriate messages and materials (pamphlets) with various contents according to the social participation status of each participant, and it becomes possible to continue the efforts to activate social participation for a long period of time.

[0107] The present invention is not limited to the above-mentioned embodiment, and includes various modified examples and equivalent configurations within the spirit of the appended claims. For example, the above-mentioned embodiment has been described in detail to clearly explain the present invention, and the present invention is not necessarily limited to the configurations described. For example, information displayed on the screen of the output device of the processing device 29 can be transmitted to the mobile terminals 10 and 11 and displayed on the screens of the mobile terminals 10 and 11.

[0108] In this embodiment, the measurement period is set to 10 days, but it is of course possible to set a period other than 10 days, such as 5 days, 7 days, or 1 month. In this case, the period 222b shown in FIG. 4, the target value setting dates and times 281b and 282b shown in FIG. 12 and FIG. 13, and the setting intervals of the target values ​​shown in FIG. 18 to FIG. 21 will be different. In the case of a one-month period, since the number of days in the measurement period differs depending on the month, the target value may be adjusted according to the number of days in the month. In this case, the calculation process is performed by normalizing the number of days in the measurement period per month, which is 28 to 31 days, to a number per day.

[0109] Alternatively, in this embodiment, a target value for the number of social participations is set and displayed in the maintenance mode, but it is also possible to eliminate the need to set a target value and simply display the number of social participations. This can help reduce the burden and fatigue on daily life caused by setting a target value.

[0110] In addition, each of the configurations, functions, etc. described above may be realized in hardware, for example by designing some or all of them as an integrated circuit, or may be realized in software by a processor interpreting and executing a program that realizes each function.

[0111] Information such as programs, tables, files, etc. that realize each function can be stored in storage devices such as memory, hard disks, and SSDs (Solid State Drives), or recording media such as IC (Integrated Circuit) cards, SD (Secure Digital) cards, and DVDs (Digital Versatile Discs). [Explanation of symbols]

[0112] 10, 11 Mobile terminal, 20 Behavioral analysis device, 21 Participant information DB, 22 Social participation record DB, 23 Social participation classification table, 24 Message master table, 25 Pamphlet master table, 26 Social participation facility master table, 27 Community participation record table, 28 Target value setting management table, 29 Processing device, 40 Management terminal

Claims

1. a measurement unit that inputs location information associated with the actions of the participants from the information terminals of the participants and measures the number of social participations of the participants based on the input location information of the participants; a storage unit that stores the measurement values ​​of the measurement unit on each measurement date; a target value setting unit that sets a target value for the number of social participations of the participant based on the cumulative value of the number of social participations stored in the storage unit; an output unit that outputs the cumulative value of the number of social participations accumulated in the accumulation unit and the target value of the number of social participations set by the target value setting unit.

2. The behavioral analysis device according to claim 1 , The output unit is a cumulative value of the number of social participations accumulated in the accumulation unit for each measurement date on a screen with the vertical axis representing the number of social participations of the participant and the horizontal axis representing the number of days elapsed since the measurement date, and a target value for the number of social participations set by the target value setting unit is displayed on a measurement date that corresponds to the final day of each of a plurality of measurement periods that include a plurality of measurement dates among the measurement dates.

3. The behavioral analysis device according to claim 1 , The storage unit is classifying the measurement values ​​of the measurement unit into a plurality of categories, and sequentially accumulating the measurement values ​​for each of the classified categories as a cumulative value of the number of social participations for each of the categories for each of the measurement dates; The output unit is A behavioral analysis device characterized in that the cumulative values ​​of the number of social participations for each category stored in the storage unit are stacked on top of each other and displayed on a screen for each measurement date as a bar graph.

4. The behavioral analysis device according to claim 1 , The target value setting unit is A behavioral analysis device characterized by setting a target value for the number of social participations in a measurement period next to the past measurement period based on participant characteristic information including the age and gender of the participant and a cumulative value for the number of social participations accumulated in the accumulation unit during a past measurement period that includes multiple measurement dates.

5. The behavioral analysis device according to claim 1 , The target value setting unit is a target value of the number of social participations in a measurement period next to the past measurement period to a value higher than the target value of the number of social participations in the past measurement period when the cumulative value of the number of social participations accumulated in the accumulation unit during a past measurement period including a plurality of measurement dates is on the rise.

6. The behavioral analysis device according to claim 1 , A mode setting unit sets a target value setting mode of the target value of the number of social participations in the target value setting unit to either an activation mode or a maintenance mode, The target value setting unit is determining whether the target value setting mode set by the mode setting unit is the activation mode or the maintenance mode, and when it is determined that the target value setting mode is the activation mode, updating the target value of the number of social participations in a measurement period next to the past measurement period to a value higher than the target value of the number of social participations in the past measurement period, on condition that the cumulative value of the number of social participations accumulated in the accumulation unit during a past measurement period including a plurality of measurement dates is on an increasing trend; A behavioral analysis device characterized in that, when it is determined that the target value setting mode is the maintenance mode, the target value of the number of social participations in the measurement period next to the past measurement period is updated to a predetermined setting value that is less than or equal to the cumulative value of the number of social participations accumulated in the past measurement period.

7. The behavioral analysis device according to claim 1 , A mode setting unit sets a target value setting mode of the target value of the number of social participations in the target value setting unit to either an activation mode or a maintenance mode, The target value setting unit is determining whether the target value setting mode set by the mode setting unit is the activation mode or the maintenance mode; When it is determined that the target value setting mode is the activation mode, on condition that the cumulative value of the number of social participations accumulated in the accumulation unit during a past measurement period including a plurality of measurement dates is on the rise, the target value of the number of social participations during a measurement period next to the past measurement period is updated in accordance with an increase rate of the cumulative value of the number of social participations during the past measurement period; When it is determined that the target value setting mode is the activation mode, on condition that the cumulative value of the number of times of social participation accumulated in the past measurement period among the cumulative values ​​of the number of times of social participation accumulated in the accumulation unit is on a decreasing trend, the target value of the number of times of social participation in the next measurement period is updated in accordance with a decreasing rate of the cumulative value of the number of times of social participation in the past measurement period; A behavioral analysis device characterized in that, when it is determined that the target value setting mode is the maintenance mode, the target value of the number of social participations in the measurement period next to the past measurement period is updated to a predetermined setting value that is less than or equal to the cumulative value of the number of social participations accumulated in the past measurement period.

8. The behavioral analysis device according to claim 1 , a message storage unit that stores information on a plurality of messages in association with the number of social participations measured by the measurement unit; a message selection unit that selects information of a specified message from information of the plurality of messages based on the measurement value of the measurement unit; a message sending unit that sends information of the specified message selected by the message selecting unit to the information terminal of the participant, The output unit is A behavior analysis device characterized in that information on the specified message selected by the message selection unit is displayed on a screen.

9. The behavioral analysis device according to claim 1 , A facility location information storage unit stores facility location information indicating the locations of the participant's residential facility and a plurality of social participation facilities where the participant will stay, The measurement unit is A behavioral analysis device characterized by comparing the input location information of the participant with the facility location information stored in the facility location information storage unit, and counting the participant's number of social participations as one on the condition that the location information of the participant matches the facility location information of the participant's residential facility and then matches the facility location information of any one of the multiple social participation facilities.

10. A behavior analysis method in a behavior analysis device for inputting information from an information terminal of a participant and analyzing the behavior of the participant, comprising: a measurement step in which the behavior analysis device inputs location information associated with the behavior of the participant from the information terminal of the participant and measures the number of social participations of the participant based on the input location information of the participant; a storage step in which the behavioral analysis apparatus sequentially stores the measurement values ​​in the measurement step for each measurement date; a target value setting step in which the behavior analysis device sets a target value for the number of social participations of the participant based on the cumulative value of the number of social participations accumulated in the accumulation step; The behavioral analysis method is characterized in that it comprises an output step in which the behavioral analysis device outputs the cumulative value of the number of social participations accumulated in the accumulation step and the target value of the number of social participations set in the target value setting step.

11. The behavioral analysis method according to claim 10, The behavioral analysis device includes: A behavioral analysis method characterized in that, in the output step, a cumulative value of the number of social participations accumulated in the accumulation step is displayed for each measurement date on a screen whose vertical axis represents the number of social participations of the participant and whose horizontal axis represents the number of days elapsed since the measurement date, and a target value for the number of social participations set in the target value setting step is displayed on a measurement date corresponding to the final day of each of a plurality of measurement periods including a plurality of measurement dates among the measurement dates.

12. The behavioral analysis method according to claim 10, The behavioral analysis device includes: In the accumulation step, the measurement values ​​in the measurement step are classified into a plurality of categories, and the measurement values ​​for each of the classified categories are sequentially accumulated for each measurement date as a cumulative value of the number of social participations for each of the categories; A behavioral analysis method characterized in that in the output step, the cumulative values ​​of the number of social participations for each category accumulated in the accumulation step are stacked on top of each other and displayed on a screen for each measurement date as a bar graph.

13. The behavioral analysis method according to claim 10, The behavioral analysis device includes: This behavioral analysis method is characterized in that in the target value setting step, a target value for the number of social participations in a measurement period next to the past measurement period is set based on participant characteristic information including the age and gender of the participant and the cumulative value of the number of social participations accumulated in the accumulation step for a past measurement period including multiple measurement dates.

14. The behavioral analysis method according to claim 10, The behavioral analysis device includes: A behavioral analysis method characterized in that, in the target value setting step, if the cumulative value of the number of social participations accumulated in the accumulation step during a past measurement period including a plurality of measurement dates is on the rise, the target value of the number of social participations during a measurement period next to the past measurement period is updated to a value higher than the target value of the number of social participations during the past measurement period.

15. The behavioral analysis method according to claim 10, A mode setting step of setting a target value setting mode of the target value of the number of social participations in the target value setting step to either an activation mode or a maintenance mode, The behavioral analysis device includes: In the target value setting step, it is determined whether the target value setting mode set in the mode setting step is the activation mode or the maintenance mode, and when it is determined that the target value setting mode is the activation mode, on condition that the cumulative value of the number of social participations accumulated in the accumulation step during a past measurement period including a plurality of measurement dates is on an increasing trend, a target value of the number of social participations in a measurement period next to the past measurement period is updated to a value higher than the target value of the number of social participations in the past measurement period, A behavioral analysis method characterized in that, when it is determined that the target value setting mode is the maintenance mode, the target value of the number of social participations in the measurement period next to the past measurement period is updated to a predetermined setting value that is less than or equal to the cumulative value of the number of social participations accumulated in the past measurement period.

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