Information processing device, information processing method, and program

Abstract

To determine measures for behavioral intervention by using a personality and temperament of an object person and to perform more effective action intervention in addition to the determination.SOLUTION: An information processing device holds fundamental characteristic information indicating a fundamental characteristic based on a personality or temperament of an object person who performs an objective behavior, action characteristic information indicating an action characteristic based on a history of the objective behavior of the object person, and a selection rule for choosing measures for performing the objective behavior on the object person on the basis of, the fundamental characteristic and the behavioral trait. With reference to the selection rule, the measures are selected on the basis of basic characteristics indicated by the basic characteristic information and the behavioral characteristic indicated by the behavioral characteristic information, and the action characteristic information, and a display screen based on the selected measures is outputted to a display device.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to an information processing device, an information processing method, and a program. [Background technology]

[0002] JP 2021-26556 A (Patent Document 1) is a background technology in this technical field. This publication states that "the server 50 as a lifestyle habit improvement support device includes an interest level determination unit 53 that determines the subject's interest level in each of a plurality of health behaviors, a behavioral characteristic determination unit 54 that determines behavioral characteristics that characterize the subject's behavior, and a providing unit that provides the subject's device with support information that supports the subject's lifestyle improvement based on the determination results of the interest level determination unit 53 and the behavioral characteristic determination unit 54" (see abstract). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent Publication No. 2021-26556 Summary of the Invention [Problem to be solved by the invention]

[0004] The technology described in Patent Document 1 provides support information to support a subject's lifestyle improvement using the subject's level of interest in health behavior and the subject's behavioral characteristics, but such interest level and behavioral characteristics do not reflect the subject's personality, temperament, etc. Therefore, one aspect of the present invention determines measures for behavioral intervention using the subject's personality and temperament, thereby implementing more effective behavioral intervention. [Means for solving the problem]

[0005] In order to solve the above problem, one aspect of the present invention employs the following configuration: An information processing device includes a processor and a memory and is connected to a display device, the memory holds basic characteristic information indicating basic characteristics based on the personality or temperament of a subject to be caused to perform a desired behavior, behavioral characteristic information indicating behavioral characteristics based on the subject's history of the desired behavior, and selection rules for selecting a measure to cause the subject to perform the desired behavior based on the basic characteristics and the behavioral characteristics, the processor refers to the selection rules, selects a measure based on the basic characteristics indicated by the basic characteristic information and the behavioral characteristics indicated by the behavioral characteristic information, and outputs a display screen based on the selected measure to the display device. [Effects of the Invention]

[0006] According to one aspect of the present invention, measures for behavioral intervention are determined using the personality and temperament of a subject, thereby enabling more effective behavioral intervention.

[0007] Problems, configurations, and effects other than those described above will become apparent from the following description of the embodiments. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a block diagram showing an example of the configuration of a behavior intervention system according to a first embodiment. [Figure 2] 3 shows an example of basic characteristic data in Example 1. [Figure 3] 4 is an example of behavioral characteristic data in the first embodiment. [Figure 4] 3 is an example of intended behavior record data in the first embodiment. [Figure 5] 1 is an example of questionnaire and hearing data in Example 1. [Figure 6] 10 is an example of related behavior record data in the first embodiment. [Figure 7] 10 is an example of intervention measure data in the first embodiment. [Figure 8] 10 is an example of a policy selection rule in the first embodiment. [Figure 9] 10 is an example of policy selection data according to the first embodiment. [Figure 10] FIG. 2 is an explanatory diagram showing an example of an outline of the entire process performed by the behavior intervention device according to the first embodiment. [Figure 11] 10 is a flowchart illustrating an example of a policy selection process according to the first embodiment. [Figure 12] 10 is a flowchart illustrating an example of a behavioral characteristic analysis process according to the first embodiment. [Figure 13] 10 is a flowchart illustrating an example of a policy execution process according to the first embodiment. [Figure 14] 10 is a flowchart illustrating an example of a process for determining a state of a subject in the first embodiment. [Figure 15] 10 is an example of a message display screen displayed on a target person terminal in the first embodiment. [Figure 16] FIG. 10 is an explanatory diagram showing an example of an outline of the entire process by the behavior intervention device according to the second embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0009] Hereinafter, an embodiment of the present invention will be described in detail with reference to the drawings. In this embodiment, the same components are generally designated by the same reference numerals, and repeated explanations will be omitted. It should be noted that this embodiment is merely an example for realizing the present invention, and does not limit the technical scope of the present invention. [Example]

[0010] 1 is a block diagram showing an example of the configuration of a behavior intervention system. The behavior intervention system includes a behavior intervention device 100, a subject terminal 200, and a business system 300, which are connected by a network 400 such as the Internet. The behavior intervention device 100 is configured by a computer having, for example, a CPU (Central Processing Unit) 110, a memory 120, an auxiliary storage device 130, a communication device 140, an input device 150, and a display device 160.

[0011] The CPU 110 includes a processor and executes programs stored in the memory 120. The memory 120 includes a non-volatile storage element, Read Only Memory (ROM), and a volatile storage element, Random Access Memory (RAM). The ROM stores unchanging programs (e.g., a Basic Input / Output System (BIOS)). The RAM is a high-speed, volatile storage element such as a Dynamic Random Access Memory (DRAM), and temporarily stores programs executed by the CPU 101 and data used when the programs are executed.

[0012] The auxiliary storage device 130 is a large-capacity, non-volatile storage device such as a magnetic storage device (HDD (Hard Disk Drive)) or a flash memory (SSD (Solid State Drive)), and stores programs to be executed by the CPU 110 and data to be used when the programs are executed. That is, the programs are read from the auxiliary storage device 130, loaded into the memory 120, and executed by the CPU 110.

[0013] The input device 150 is a device such as a keyboard or mouse that receives input from an operator. The display device 160 is a device such as a display or printer that outputs the results of program execution in a format that can be viewed by the operator.

[0014] The communication device 140 is a network interface device that controls communication with other devices in accordance with a predetermined protocol. The communication device 140 may also include a serial interface such as a USB (Universal Serial Bus).

[0015] The program executed by the CPU 110 is provided to the behavior intervention device 100 from a removable medium (such as a CD-ROM or a flash memory) or via the network 400, and is stored in a non-volatile auxiliary storage device 130, which is a non-transitory storage medium. For this reason, the behavior intervention device 100 may have an interface for reading data from the removable medium.

[0016] The behavior intervention device 100 is a computer system configured on one physical computer or on multiple logically or physically configured computers, and may operate in separate threads on the same computer, or may operate on a virtual computer constructed on multiple physical computer resources. The same applies to the subject terminal 200 and the business system 300.

[0017] The CPU 110 includes, for example, a measure selection unit 111, a behavioral characteristic analysis unit 112, a subject state determination unit 113, and a measure execution unit 114. The measure selection unit 111 selects a behavioral intervention measure (a measure that encourages behavior change) for the subject, who is a user of the subject terminal 200, to perform a desired behavior (behavior that is the target of behavioral intervention). In this embodiment, an example will be described in which the desired behavior of the subject is the submission of a daily report.

[0018] The behavioral characteristic analysis unit 112 analyzes the behavioral characteristics of the subject. The behavioral characteristics are characteristics indicated by objective data about the subject's intended behavior, and are characteristics that change depending on the subject's behavior. The subject state determination unit 113 determines whether the subject is in a state where behavioral intervention measures can be implemented. The measure execution unit 114 implements the measure selected by the measure selection unit 111 on the subject.

[0019] For example, the CPU 110 functions as a policy selection unit 111 by operating in accordance with a policy selection program loaded into the memory 120, and functions as a behavioral characteristic analysis unit 112 by operating in accordance with a behavioral characteristic analysis program loaded into the memory 120. The same relationship between programs and function units applies to the other function units included in the CPU 110.

[0020] Note that some or all of the functions of the functional units included in the CPU 110 may be realized by hardware such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field-Programmable Gate Array).

[0021] The auxiliary storage device 130 holds, for example, basic characteristic data 131, behavioral characteristic data 132, intended behavior record data 133, questionnaire and interview data 134, related behavior record data 135, intervention measure data 136, measure selection rules 137, and measure selection data 138. Note that a part or all of the information stored in the auxiliary storage device 130 may be stored in the memory 120 or in a database connected to the behavior intervention device 100.

[0022] The basic characteristic data 131 holds information indicating the basic characteristics of the subject. The basic characteristics are characteristics that indicate the personality and temperament of the subject. The behavioral characteristic data 132 is obtained by analyzing the intended behavior record data 133, and holds information that indicates characteristics related to the intended behavior of the subject. The intended behavior record data 133 holds information that indicates records related to the intended behavior of the subject. The questionnaire / hearing data 134 holds information that indicates the responses of the subject to questions in a questionnaire and / or hearing that have been prepared in advance.

[0023] The related behavior record data 135 holds information indicating records of related behaviors of the subject. Related behaviors are behaviors that are related to the target behavior and are related to basic characteristics (e.g., the subject's personality or temperament). The intervention measure data 136 holds information indicating the contents of the behavioral intervention measures that are candidates for selection. The measure selection rules 137 are rules for selecting behavioral intervention measures for the subject. The measure selection data 138 holds information indicating the selected intervention measure for each subject.

[0024] In this embodiment, the information used by the behavior intervention system does not depend on the data structure and may be expressed in any data structure. In this embodiment, the information is expressed in a table format, but the information can be stored in a data structure appropriately selected from, for example, a list, a database, or a queue.

[0025] The subject terminal 200 is a terminal owned by a user who is a subject of behavioral intervention. The subject terminal 200 is configured by a computer having, for example, a CPU 210, a memory 220, an auxiliary storage device 230, a communication device 240, an input device 250, and a display device 260. The hardware description of the CPU 210, the memory 220, the auxiliary storage device 230, the communication device 240, the input device 250, and the display device 260 is omitted because it is the same as the description of the CPU 110, the memory 120, the auxiliary storage device 130, the communication device 140, the input device 150, and the display device 160.

[0026] The business system 300 is a system that manages the submission of daily reports, which are the target behavior of the subject, and other tasks of the subject. The business system 300 acquires and stores schedule information of the subject input to the subject terminal 200. The business system 300 acquires and stores the daily reports from the subject terminal 200.

[0027] 2 is an example of the basic characteristic data 131. The basic characteristic data 131 includes, for example, a subject column 1311, a procrastination column 1312, a disregard for rules column 1313, and a tendency to forget column 1314. The subject column 1311 holds a subject ID that identifies the subject. The procrastination column 1312, the disregard for rules column 1313, and the tendency to forget column 1314 hold scored values ​​of basic characteristics that are characteristics that indicate the subject's way of thinking and attitude toward things.

[0028] The procrastination column 1312 holds a score indicating whether the subject tends to put off things that need to be done. The disregard for rules column 1313 holds a score indicating whether the subject tends to disregard rules. The forgetfulness column 1314 holds a score indicating whether the subject tends to forget things. In the example of FIG. 2, the basic characteristic data 131 includes information indicating a tendency to procrastinate, a tendency to disregard rules, and a tendency to forget as basic characteristics, but is not limited to these as long as it is a characteristic indicating the subject's personality, temperament, way of thinking about things, attitude, etc.

[0029] 3 is an example of the behavioral characteristic data 132. The behavioral characteristic data 132 includes, for example, a target person column 1321, a submission days rate column 1322, and a consecutive submission days column 1323. The target person column 1321 holds a target person ID that identifies the target person. The submission days rate column 1322 holds information indicating the ratio of the number of days that the target person has actually submitted a daily report to the total number of days that the target person must submit a daily report up to the previous month. The consecutive submission days column 1323 holds information indicating the number of consecutive days that the target person has submitted a daily report (which may be the maximum number of consecutive days that the target person has submitted a daily report).

[0030] Note that the submission days rate column 1322 and the number of consecutive submission days column 1323 may be other columns as long as they indicate behavioral characteristics obtained from the results of the intended behavior. In addition, since the present embodiment describes an example in which the intended behavior is the submission of a daily report, an example is described in which the behavioral characteristic data 132 includes columns related to the submission of daily reports, namely the submission days rate column 1322 and the number of consecutive submission days column 1323, and the columns included in the behavioral characteristic data 132 depend on the type of intended behavior.

[0031] 4 is an example of the intended behavior record data 133. The intended behavior record data 133 holds, for example, a subject column 1331 and a record column 1332. The subject column 1331 holds a subject ID that identifies the subject. The record column 1332 holds information indicating whether the subject submitted a daily report for each day of the previous month (i.e., information indicating the performance of the intended behavior). For each day in the record column 1332, if "◯" is recorded, it indicates that the daily report has been submitted, and if "×" is recorded, it indicates that the daily report has not been submitted.

[0032] 5 is an example of the questionnaire / hearing data 134. The questionnaire / hearing data 134 includes, for example, a subject column 1341, a question 1 column 1342, a question 2 column 1343, and a question 3 column 1344. The subject column 1341 holds a subject ID that identifies the subject. The question 1 column 1342, the question 2 column 1343, and the question 3 column 1344 hold information indicating the subject's answers to questions 1, 2, and 3 in a preliminary questionnaire or hearing, respectively.

[0033] 6 is an example of the related behavior record data 135. The related behavior record data 135 includes, for example, a target person column 1351, an average number of days until the deadline column 1352, a deadline compliance rate column 1353, and a reminder count column 1354.

[0034] The target person column 1351 holds a target person ID that identifies the target person. The average number of days until deadline column 1352 holds information indicating the average number of days until the deadline when the target person submits a travel expense reimbursement application (an action that is different from the intended action of submitting a daily report but is related to the submission of a daily report). The deadline compliance rate column 1353 holds information indicating the percentage of targets who comply with the deadline for submitting a travel expense reimbursement application. The number of reminders column 1354 holds information indicating the number of times the target person has received a reminder to submit a travel expense reimbursement application.

[0035] 7 is an example of the intervention measure data 136. The intervention measure data 136 holds, for example, an intervention policy column 1361, a policy number column 1362, and a policy content column 1363. The intervention policy column 1361 holds an ID that identifies an intervention policy for the behavior of a subject. The policy number column 1362 holds a number that identifies a policy in the intervention policy. The policy content column 1363 holds information indicating the content of the policy.

[0036] In the example of Figure 7, intervention policy A is a policy that specifically presents the behavior that the subject is expected to perform, such as "Extend the record of consecutive submissions" and "Decide on a time to submit and do it on time." Intervention policy B in the example of Figure 7 is a policy that specifically presents the impact that the subject's behavior will have on those around them, or the impact that those around them will have on the subject, such as "Acknowledge that the submission was successful" and "Inform the relevant parties that they are having trouble."

[0037] 8 is an example of the measure selection rules 137. The measure selection rules 137 include, for example, a basic characteristic related rule 1371 and a behavioral characteristic related rule 1375. The basic characteristic related rule 1371 includes, for example, an intervention policy field 1372 and a condition field 1373. The intervention policy field 1372 holds an ID that identifies the intervention policy. The condition field 1373 holds information indicating conditions related to basic characteristics for selecting an intervention policy.

[0038] The behavioral characteristic related rule 1375 includes an intervention policy column 1376, a measure number column 1377, and a condition column 1378. The intervention policy column 1376 holds an ID that identifies an intervention policy. The measure number column 1377 holds an ID that identifies a measure. The condition column 1378 holds information that indicates conditions related to behavioral characteristics for selecting a measure.

[0039] In the example of Figure 8, intervention strategy A shown in Figure 7 is selected for subjects who have a strong tendency to procrastinate (>3) but do not have a strong tendency to disregard rules (<3), and intervention strategy B shown in Figure 7 is selected for subjects who have a strong tendency to disregard rules (>=3). Furthermore, among subjects for whom intervention strategy A is selected, measure number 1 of intervention strategy A shown in Figure 7 is selected for subjects with a high submission rate (>=0.6), and measure number 2 of intervention strategy A is selected for subjects with a low submission rate (<0.6). Furthermore, among subjects for whom intervention strategy B is selected, measure number 1 of intervention strategy B shown in Figure 7 is selected for subjects with a high submission rate (>=0.4), and measure number 2 of intervention strategy B is selected for subjects with a low submission rate (<0.4).

[0040] As shown by the measure selection rule 137 in Figure 8, in this embodiment, an intervention policy is determined from basic characteristics, and measures included in the intervention policy are determined from behavioral characteristics. Basic characteristics are characteristics that indicate the subject's personality, temperament, etc., and are unlikely to change. Therefore, by determining an intervention policy from basic characteristics, the intervention policy is unlikely to change, and measures included in the intervention policy that match the subject's personality and temperament can be stably implemented on the subject. Furthermore, behavioral characteristics are likely to change depending on the subject's behavior with respect to the target behavior. By selecting measures in the intervention policy based on behavioral characteristics, it is possible to flexibly change the measures, even though the intervention policy is unlikely to change depending on the subject's behavior.

[0041] 9 is an example of the measure selection data 138. The measure selection data 138 holds, for example, a subject column 1381, an intervention policy column 1382, and a policy number column 1383. The subject column 1381 holds a subject ID that identifies the subject. The intervention policy column 1382 and the policy number column 1383 hold an ID that indicates the intervention policy selected for the subject and an ID that indicates the policy number, respectively.

[0042] 10 is an explanatory diagram showing an example of an overview of the overall processing by the behavior intervention device 100. Basic characteristic data 131 is prepared in advance. Specifically, the basic characteristics of each subject in the basic characteristic data 131 are determined by, for example, qualitative analysis based on questionnaire / hearing data 134, which is the result of a qualitative subjective survey such as a questionnaire or hearing, and data analysis for measuring the basic characteristics based on related behavior record data 135, which is objective data.

[0043] In addition, behavioral characteristic data 132 is also prepared in advance. Specifically, for example, the behavioral characteristics of each subject in the behavioral characteristic data 132 are determined by data analysis of the intended behavior record data 133.

[0044] In addition, since the results of data analysis on the purposeful behavior record data 133 are more likely to change than the results of qualitative analysis based on questionnaire / hearing data 134, which are the results of a qualitative subjective survey such as a questionnaire or hearing, it is desirable that the frequency at which the behavioral characteristic data 132 is updated is higher than the frequency at which the basic characteristic data 131 is updated.

[0045] It should be noted that the related behavior record data 135 and the intended behavior record data 133 are based on the behavior of the subject and are more likely to change than the questionnaire and hearing data 134 that indicates the results of a qualitative subjective survey of the subject. Therefore, it is desirable that data analysis for measuring the basic characteristics and data analysis of the intended behavior record data 133 be performed periodically, and that the basic characteristic data 131 and the behavioral characteristic data 132 be updated periodically.

[0046] The measure selection unit 111 selects an intervention policy for each subject by referring to the basic characteristic data 131 and the basic characteristic related rule 1371 of the measure selection rules 137. Furthermore, the measure selection unit 111 selects a measure from the selected intervention policy by referring to the behavioral characteristic data 132 and the behavioral characteristic related rule 1375 of the measure selection rules 137.

[0047] The subject state determination unit 113 senses the subject's emotions and state. The measure execution unit 114 executes the selected measure if it determines that the subject's emotions and state are such that a measure can be executed.

[0048] 11 is a flowchart showing an example of the policy selection process. The policy selection unit 111 determines whether policy selection has been completed for all subjects (for example, all subjects included in the basic characteristic data 131) (S1101). When the policy selection unit 111 determines that policy selection has been completed for all subjects (S1101: YES), it terminates the policy selection process. When the policy selection unit 111 determines that there is a subject for whom policy selection has not been completed (S1101: NO), it selects one subject for whom policy selection has not been completed (S1102).

[0049] The policy selection unit 111 refers to the basic characteristic data 131 and the basic characteristic related rules 1371 of the policy selection rules 137, and selects an intervention policy corresponding to the conditions indicated in the condition column 1373 that are satisfied by the basic characteristics of the subject selected in step S1102 (S1103).

[0050] The policy selection unit 111 refers to the behavioral characteristic data 132 and the behavioral characteristic-related rule 1375 of the policy selection rules 137, and selects a policy number corresponding to the intervention policy selected in step S1103 and a condition satisfied by the behavioral characteristic of the subject selected in step S1102 from among the conditions shown in the condition column 1378 (S1104). The policy selection unit 111 stores the subject selected in step S1102, the intervention policy selected in step S1103, and the policy number selected in step S1104 in the policy selection data 138, and returns to step S1101.

[0051] 12 is a flowchart showing an example of behavioral characteristic analysis processing. The behavioral characteristic analysis processing is preferably performed periodically (for example, once a month). The behavioral characteristic analysis unit 112 determines whether behavioral characteristic analysis has been completed for all subjects (for example, all subjects included in the behavioral characteristic data 132) (S1201). If the behavioral characteristic analysis unit 112 determines that behavioral characteristic analysis has been completed for all subjects (S1201: YES), it terminates the behavioral characteristic analysis processing. If the behavioral characteristic analysis unit 112 determines that there is a subject for whom behavioral characteristic analysis has not been completed (S1201: NO), it selects one subject for whom behavioral characteristic analysis has not been completed (S1202).

[0052] The behavioral characteristic analysis unit 112 reads out (S1203) the intended behavior records (whether or not a daily report was submitted for each day) of the subject selected in step S1202 up to the previous month in the intended behavior record data 133. The behavioral characteristic analysis unit 112 calculates the rate of days for which a daily report has been submitted and the number of consecutive days for which a daily report has been submitted of the subject selected in step S1202 from the intended behavior records up to the previous month read out in step S1203 (S1204).

[0053] The behavioral characteristic analysis unit 112 associates the subject selected in step S1202 with the submission days rate and the number of consecutive submission days calculated in step S1204, updates the behavioral characteristic data 132 (S1205), and returns to step S1202.

[0054] 13 is a flowchart showing an example of a policy execution process. It is desirable that the policy execution process be executed periodically (for example, once a day). The policy execution unit 114 resets the execution completion flag and the execution pending flag for all subjects included in the policy selection data 138 (S1301). The execution completion flag is a flag indicating that a policy has been executed for a subject. The execution pending flag is a flag indicating that a policy cannot be executed for a subject.

[0055] The policy execution unit 114 determines whether the policy has been executed for all subjects included in the policy selection data 138 (i.e., whether the execution flag is set for all subjects) (S1302). When the policy execution unit 114 determines that the policy has been executed for all subjects included in the policy selection data 138 (S1302: YES), the policy execution process ends.

[0056] If the policy execution unit 114 determines that there are subjects included in the policy selection data 138 who have not yet implemented the policy (S1302: NO), it selects one subject who has not yet implemented the policy (i.e., the executed flag is not set) (S1303). However, if the policy execution unit 114 determines in step 1303 that there are subjects who have not yet implemented the policy (i.e., the executed flag is not set) and the execution pending flag is not set, it selects that subject in preference to subjects who have the execution pending flag set.

[0057] The policy execution unit 114 determines whether the policy can be executed for the target person selected in step S1303 (S1304). Details of step S1304 will be described later with reference to FIG.

[0058] If the policy execution unit 114 determines that the policy is not in a state where it can be executed for the target person selected in step S1303 (S1304: NO), it sets an execution suspension flag for the target person (S1305) and returns to step S1302. Note that if the policy execution unit 114 determines that the schedule acquired in step S1304 corresponds to the predetermined schedule, it may acquire the end time of the acquired schedule from the business system 300 and reset the execution suspension flag for the target person at the end time, or it may periodically acquire the schedule for the target person at the current time from the business system 300 and reset the execution suspension flag for the target person if it determines that the acquired schedule does not correspond to the predetermined schedule.

[0059] If the policy execution unit 114 determines that a policy can be implemented for the subject selected in step S1303 (S1304: YES), it refers to the policy selection data 138 to identify the intervention policy and policy number corresponding to the subject, and refers to the intervention policy data 136 to obtain the policy content corresponding to the identified intervention policy and policy number (S1306).

[0060] The measure execution unit 114 generates information for displaying a message display screen including a message according to the measure content acquired in step S1306 (S1307). An example of the message display screen will be described later with reference to FIG. 15. The measure execution unit 114 executes the measure (S1308) and returns to step S1302. Specifically, for example, in step S1308, the measure execution unit 114 transmits the message generated in step S1307 to the target person terminal 200, and causes it to be displayed on the display device 260.

[0061] In the process of the measure selection rule 137 in Fig. 8 and the process of Fig. 13, an intervention policy is determined from basic characteristics and measures included in the intervention policy are determined from behavioral characteristics, but an intervention policy may be determined from behavioral characteristics and measures included in the intervention policy may be determined from basic characteristics. Also, in the process of the measure selection rule 137 in Fig. 8 and the process of Fig. 13, an intervention policy and measures included in the intervention policy may be determined from either basic characteristics or behavioral characteristics.

[0062] 14 is a flowchart showing an example of the subject's state determination process in step S1304. The policy execution unit 114 acquires today's schedule of the subject selected in step S1303 from the business system 300 (S1401). This schedule may include the subject's plans and a flag that can be set by the subject to indicate that the subject is busy.

[0063] The policy execution unit 114 checks whether the target terminal 200 of the target person selected in step S1303 is running (S1402). If the policy execution unit 114 determines that the target terminal 200 of the target person selected in step S1303 is not running (S1402: NO), it determines that the target person is in a state where a policy cannot be executed (S1403), and ends the state determination process.

[0064] If the policy execution unit 114 determines that the target terminal 200 of the target selected in step S1303 is running (S1402: YES), it determines whether a flag indicating that the target is busy is set (S1404). If the policy execution unit 114 determines that a flag indicating that the target is busy is set (S1404: YES), it transitions to step S1403 and ends the state determination process.

[0065] If the policy execution unit 114 determines that the flag indicating that the target person is busy is not set (S1404: NO), it checks whether the target person has a meeting scheduled at the current time in their schedule (S1405). Note that the schedule that the policy execution unit 114 checks in step S1405 is not limited to a meeting, but may be any other predetermined schedule such as a business trip or entertainment.

[0066] If the policy execution unit 114 determines that the target person has a meeting scheduled at the current time in their schedule (S1405: YES), it transitions to step S1403 and ends the status determination process. If the policy execution unit 114 determines that the target person has no meeting scheduled at the current time in their schedule (S1405: NO), it determines that the target person is in a state where a policy can be implemented (S1406) and ends the status determination process. The status determination process described above makes it possible to implement a policy when the target person is likely to accept the policy.

[0067] 15 is an example of a message display screen displayed on the subject terminal 200. The message display screen 1500 includes, for example, a message display area 1501, a desired behavior record display area 1502, a button 1503, a button 1504, and a button 1505. A message indicating the content of the measure acquired in step S1306 is displayed in the message display area 1501. Note that the message in FIG. 15 includes the name of the subject, and the measure execution unit 114 acquires the name of the subject from the business system 300.

[0068] The intended behavior record display area 1502 displays information obtained by the policy execution unit 114 aggregating the ongoing intended behavior records (for example, up to yesterday of this month) of the subject in the intended behavior record data 133. In the example of Fig. 15, the intended behavior record display area 1502 displays the number of consecutive days for which the subject has submitted a daily report as of yesterday and the longest number of consecutive days for which the subject has submitted a daily report.

[0069] When button 1503 is selected, the subject terminal 200 sends a notification to the business system 300 indicating that the subject will submit today's daily report later, and the display of the message display screen 1500 ends. When button 1504 is selected, the subject terminal 200 obtains screen information for submitting a daily report from the business system 300, and a screen for submitting a daily report is displayed on the display device 260. By using button 1504, it is possible to immediately reflect message-based intervention measures on the behavior of a subject who has not submitted a daily report.

[0070] When the button 1505 is selected, the target person terminal 200 transmits to the business system 300 a notification indicating that the target person has already submitted today's daily report, and the display of the message display screen 1500 ends.

[0071] As described above, the behavioral intervention system of this embodiment uses the measure selection rules 137 based on not only the behavioral characteristics of the subject but also the basic characteristics, thereby making it possible to select measures that take into consideration the subject's way of thinking, personality, temperament, etc. Furthermore, the behavioral intervention system makes it easier for the subject to accept the measures by implementing the measures except when the subject is in a meeting or busy, etc.

[0072] Note that, prior to step S1403 and step S1406, the measure selection unit 111 may sense the emotion of the subject selected in step S1303 using a predetermined algorithm, and if it is determined that the emotion of the subject is a predetermined emotion (for example, anger, sadness, impatience, etc.), it may proceed to step S1403. When the subject is in such an emotion, even if a measure is implemented, the measure will not be effective (for example, the subject does not listen to the message), and therefore it is determined that the state is such that the measure cannot be implemented. [Example]

[0073] In this embodiment, the record of the intended behavior is reflected in the basic characteristic data 131. FIG. 16 is an explanatory diagram showing an example of an outline of the overall processing by the behavior intervention device 100 in this embodiment. The difference from FIG. 10 is that the record data of the intended behavior is input to data analysis that measures the basic characteristics. After the record data of the intended behavior is accumulated for a certain period (for example, one year), records such as late submission and non-submission of daily reports are analyzed, and the scores of the basic characteristic data such as "procrastination," "disregard for rules," and "prone to forgetfulness" are periodically updated.

[0074] The present invention is not limited to the above-described embodiments, but includes various modifications. For example, the above-described embodiments have been described in detail to clearly explain the present invention, and the present invention is not necessarily limited to those including all of the described configurations. Furthermore, it is possible to replace part of the configuration of one embodiment with the configuration of another embodiment, or to add the configuration of another embodiment to the configuration of one embodiment. Furthermore, it is possible to add, delete, or replace part of the configuration of each embodiment with other configurations.

[0075] Furthermore, the above-described configurations, functions, processing units, processing means, etc. may be partially or entirely implemented in hardware, for example, by designing them as integrated circuits. The above-described configurations, functions, etc. may also be implemented in software, with a processor interpreting and executing a program that implements each function. Information such as the programs, tables, and files that implement each function can be stored in a memory, a recording device such as a hard disk or SSD (Solid State Drive), or a recording medium such as an IC card, SD card, or DVD.

[0076] In addition, the control lines and information lines shown are those that are considered necessary for the explanation, and do not necessarily show all the control lines and information lines in the product. In reality, it can be assumed that almost all components are interconnected. [Explanation of symbols]

[0077] 100 Behavioral intervention device, 110 CPU, 111 Measure selection unit, 112 Behavioral characteristic analysis unit, 113 Subject state determination unit, 114 Measure execution unit, 120 Memory, 130 Auxiliary storage device, 131 Basic characteristic data, 132 Behavioral characteristic data, 133 Target behavior record data, 134 Questionnaire / hearing data, 135 Related behavior record data, 136 Intervention measure data, 137 Measure selection rule, 138 Measure selection data, 140 Communication device, 150 Input device, 160 Display device

Claims

1. An information processing device, a processor and a memory, connected to a display device, The memory includes: Basic characteristic information indicating basic characteristics based on the personality or temperament of the subject to be caused to perform the intended behavior; Behavioral characteristic information indicating behavioral characteristics based on a history of the intended behavior of the subject; a selection rule for selecting a measure to cause the subject to perform the target behavior based on the basic characteristics and the behavioral characteristics; the selection rules include a first rule for selecting an intervention policy for a behavior of the subject based on the basic characteristics, and a second rule for selecting a measure to be included in the intervention policy based on the behavioral characteristics; The processor: selecting a measure based on the basic characteristics indicated by the basic characteristic information and the behavioral characteristics indicated by the behavioral characteristic information, with reference to the selection rule; selecting an intervention policy based on the basic characteristics indicated by the basic characteristic information with reference to the first rule; selecting a measure to be included in the selected intervention policy based on the behavioral characteristic indicated by the behavioral characteristic information with reference to the second rule; An information processing device that outputs a display screen based on the selected measure to the display device.

2. An information processing device according to claim 1, the memory holds schedule information indicating a current schedule of the subject; The information processing device wherein the processor refers to the schedule information and, if it determines that the subject's current schedule is a predetermined schedule, postpones output of the selected measure to the display device.

3. An information processing device according to claim 1, The processor: sensing a current emotion of the subject based on a predetermined algorithm; When the emotion of the subject is determined to be a predetermined emotion, the information processing device postpones output of the selected measure to the display device.

4. An information processing device according to claim 1, the memory holds intended behavior record information indicating a history of the intended behavior of the subject; The processor updates the behavioral characteristics in the behavioral characteristic information based on the history indicated by the intended behavior record information.

5. An information processing device according to claim 4, The processor updates the basic characteristics in the basic characteristic information based on the history indicated by the intended behavior record information.

6. An information processing device according to claim 4, The display screen includes: a message based on the selected measure; a display showing the behavioral characteristic indicated by the behavioral characteristic information.

7. An information processing method by an information processing device, comprising: The information processing device includes: a processor and a memory, connected to a display device, The memory includes: Basic characteristic information indicating basic characteristics based on the personality or temperament of the subject to be caused to perform the intended behavior; Behavioral characteristic information indicating a behavioral characteristic based on the subject's track record of the intended behavior; a selection rule for selecting a measure to cause the subject to perform the target behavior based on the basic characteristics and the behavioral characteristics; the selection rules include a first rule for selecting an intervention policy for a behavior of the subject based on the basic characteristics, and a second rule for selecting a measure to be included in the intervention policy based on the behavioral characteristics; The information processing method includes: the processor refers to the selection rule and selects a measure based on the basic characteristic indicated by the basic characteristic information and the behavioral characteristic indicated by the behavioral characteristic information; the processor refers to the first rule and selects an intervention policy based on the basic characteristic indicated by the basic characteristic information; the processor refers to the second rule and selects a measure to be included in the selected intervention policy based on the behavioral characteristic indicated by the behavioral characteristic information; The information processing method, wherein the processor outputs the selected measure to the display device.

8. A program for causing an information processing device to execute information processing, The information processing device includes: a processor and a memory, connected to a display device, The memory includes: Basic characteristic information indicating basic characteristics based on the personality or temperament of the subject to be caused to perform the intended behavior; Behavioral characteristic information indicating a behavioral characteristic based on the subject's track record of the intended behavior; a selection rule for selecting a measure to cause the subject to perform the target behavior based on the basic characteristics and the behavioral characteristics; the selection rules include a first rule for selecting an intervention policy for a behavior of the subject based on the basic characteristics, and a second rule for selecting a measure to be included in the intervention policy based on the behavioral characteristics; The program a process of selecting a measure based on the basic characteristics indicated by the basic characteristic information and the behavioral characteristics indicated by the behavioral characteristic information, with reference to the selection rule; a process of selecting an intervention policy based on the basic characteristics indicated by the basic characteristic information with reference to the first rule; a process in which the processor refers to the second rule and selects a measure to be included in the selected intervention policy based on the behavioral characteristic indicated by the behavioral characteristic information; and outputting the selected measure to the display device.

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