BEHAVIORAL INFLUENCE ANALYSIS SYSTEM, BEHAVIORAL INFLUENCE ANALYSIS PROGRAM, AND BEHAVIORAL INFLUENCE ANALYSIS METHOD

Abstract

[Problem] When recording behavior history, an input operation is required that imposes an excessive load on a user. A technique for simplifying the input operation by the user as much as possible is sought. [Solution] Provided is a behavior effect analysis system that comprises at least: a position information acquisition means that acquires and stores position information pertaining to the position of the user; a time information acquisition means that acquires and stores the time at which the user arrives at said position, and the staying time at said position; a behavior selection means that selects, from the position information and the time information, behavior executed by the user at said position, and stores behavior information pertaining to the behavior; a record information acquisition means that acquires and stores record information including record values pertaining to records acquired by the user, and record acquisition times; and an analysis means that analyzes the effect of individual behaviors on the record values, on the basis of behavior information pertaining to a plurality of behaviors performed going back a discretionary amount of time from the record acquisition time.

Description

[Technical field]

[0001] The present invention relates to a behavioral influence analysis system, a behavioral influence analysis program, and a behavioral influence analysis method for analyzing the influence of a user's behavior on a performance. [Background technology]

[0002] Systems and devices that record the user's behavior history with the main purpose of managing the user's health have been developed.Specific examples include a data management server (see Patent Document 1) in a health management system that links daily life with training and presents recommended activities based on the user's activity history, a behavior management system (see Patent Document 2) including a wrist terminal that measures the user's behavior data and a mobile terminal that analyzes the behavior data in real time, a physical condition presentation device (see Patent Document 3) that calculates points based on specific calculation rules for the behavior performed by the user and presents an evaluation of the physical condition according to the points, an information processing device (see Patent Document 4) that estimates the user's level of inactivity and suggests actions that the user is likely to perform based on behavior history information, a monitoring device for a monitored person's life that compares detection data of a monitored person with registered daily behavior patterns and determines whether the detection data is included in daily behavior pattern data (see Patent Document 5), and a method for generating a behavior history based on behavior content estimated from operation content identified from a scene extracted from a time-series change point of the exercise frequency obtained from the user's biological information (see Patent Document 6). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2018-45393 A [Patent Document 2] JP 2017-118550 A [Patent Document 3] JP 2016-24669 A [Patent Document 4] JP 2015-49825 A [Patent Document 5] JP 2004-133777 A [Patent Document 6] International Publication No. 2010 / 032579 Summary of the Invention [Problem to be solved by the invention]

[0004] Conventional systems that record user behavioral history require users to input information each time they record a behavioral history, which places an excessive burden on users. There was a demand for technology that simplifies user input operations and records accurate behavioral history. There was also a demand for technology that visualizes the impact of individual actions on performance based on accurate behavioral history, so that users can review their usual behavior. [Means for solving the problem]

[0005] The present invention is a behavioral influence analysis system comprising at least a location information acquisition means for acquiring and storing location information regarding a user's location, a time information acquisition means for acquiring and storing the time when the user arrives at the location and the duration of stay at the location, an action selection means for selecting an action to be performed by the user at the location from the location information and time information and storing action information regarding the action, a performance information acquisition means for acquiring and storing performance information including a performance value regarding the performance acquired by the user and the time of performance acquisition, and an analysis means for analyzing the effect of individual actions on the performance value from action information regarding a plurality of actions performed going back any period from the time of performance acquisition.

[0006] In another aspect of the present invention, the behavior information includes at least behavior content information and time information associated with the behavior, and the analysis means calculates the degree of influence that the behavior performed during a given period has on the performance value from the behavior content information and the time information. The influence degree can be the sum of the individual influence degrees that each individual behavior has on the performance value. Specifically, the influence degree is expressed as in Equation 1, and the influence of each individual behavior on the performance value is analyzed by comparing the influence degree and the performance value.

[0007]

number

[0008] In another aspect of the present invention, the presenting means further comprises a presentation means for presenting the calculation result to the user, and the presentation means presents to the user the influence coefficient and / or the influence degree calculated by the analysis means. In still another aspect of the present invention, the analysis means calculates a predicted value of the performance the user will next obtain from the influence degree calculated from the action performed in an arbitrary period, and the presentation means presents the predicted value to the user.

[0009] In another aspect of the present invention, the behavioral information includes at least location information and time information linked to the behavior, and the behavior selection means compares the newly acquired location information and time information with previously stored location information and time information, selects an behavior linked to similar location information and time information from the previously stored location information and time information, and stores the behavioral information regarding the behavior.

[0010] In another aspect of the present invention, when there are multiple actions linked to similar location information and time information, the action selection means presents the multiple actions to the user as options and stores action information regarding the action selected by the user.

[0011] Furthermore, in another aspect of the present invention, behavioral information of a plurality of users and attribute information of the users are stored, and the behavioral information includes at least location information and time information linked to the behavior, and the behavior selection means compares the newly acquired location information and time information with location information and time information linked to past behavior of another user who has attribute information in common with the user, selects a behavior linked to similar location information and time information from the location information and time information linked to past behavior of another user who has attribute information in common with the user, and stores the behavioral information regarding the behavior.

[0012] The present invention further provides a behavioral influence analysis program executed by a computer, which includes the steps of: acquiring location information on a user's location and storing the location information; acquiring time information on the time the user reaches the location and the duration of stay at the location and storing the location information; selecting an action to be performed by the user at the location from the location information and the time information and storing the action information on the action; acquiring performance information including a performance value on the performance acquired by the user and the time of performance acquisition and storing the performance information; and analyzing the effect of each action on the performance value from the action information on a plurality of actions performed during a given period prior to the time of performance acquisition.

[0013] The present invention further provides a behavioral influence analysis method executed by a computer, which includes the steps of acquiring location information related to a user's location and storing the location information, acquiring time information related to the time when the user arrived at the location and the duration of stay at the location and storing the time information, selecting an action to be performed by the user at the location from the location information and the time information and storing the action information related to the action, acquiring performance information including a performance value related to the performance acquired by the user and the time of performance acquisition, and analyzing the effect of each action on the performance value from the action information related to a plurality of actions performed during an arbitrary period prior to the time of performance acquisition. Effect of the Invention

[0014] According to the present invention, accurate behavioral information can be accumulated by a simple operation of the user. In addition, the contribution of each behavior to the performance value acquired by the user is visualized, which gives the user an opportunity to review his / her usual behavior and contributes to improving daily behavior aimed at improving performance. [Brief description of the drawings]

[0015] [Figure 1]1 is a diagram showing a configuration of an embodiment of a behavioral influence analysis system. [Diagram 2] 1 is a diagram showing the configuration of an embodiment of a behavior influence analysis server in a behavior influence analysis system. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0016] The behavioral influence analysis system of the present invention comprises at least a location information acquisition means, a time information acquisition means, a behavior selection means, a performance information acquisition means, and an analysis means. The object of the present invention is to present the influence of each behavior performed by a user on the performance score acquired by the user, and to give the user an opportunity to review their usual behavior in order to obtain a high performance score. Each component of the behavioral influence analysis system of the present invention will be described in detail below.

[0017] The location information acquisition means acquires and stores location information related to the user's location. Specifically, it acquires information transmitted from a location information satellite such as a Global Positioning System (GPS). It is also desirable to acquire more precise location information such as a bedroom, living room, kitchen, toilet, bathroom, etc., even within the same building, by using short-distance wireless communication such as a beacon.

[0018] The time information acquiring means acquires and stores the time when the user arrived at a certain location and the duration of stay at that location. The location information acquiring means and the time information acquiring means store when and where the user was in the storage means provided in the behavioral influence analysis system of the present invention.

[0019] The behavior selection means selects, from the acquired position information and time information, a behavior that the user will perform at a location corresponding to the acquired position information, and stores behavior information relating to the selected behavior.

[0020] Here, behavior information refers to information indicating what behavior the user performed. The behavior information includes behavior content information related to the content of the behavior performed by the user, and location information and time information linked to the behavior. That is, at the time when the behavior is selected, the behavior information related to the behavior is linked to the content of the behavior, the location where the behavior was performed, the time of arrival at the location, and the duration of stay at the location. In addition, the time of arrival at the location and the duration of stay at the location are estimated to be the time when the selected behavior was performed.

[0021] The behavioral influence analysis system of the present invention may include a behavioral history database. The behavior selection means selects a behavior performed by the user at a location corresponding to the acquired location information, and accumulates behavioral information related to the selected behavior in the behavioral history database. The behavioral information accumulated in the behavioral history database includes the user's behavior content, and the location and time of the behavior.

[0022] The behavior selection means can refer to behavior information stored in a pre-constructed database, extract behaviors that are estimated to have been performed by the user from the location information and time information, and select and store the extracted behavior information. If there are multiple candidates for behaviors that are estimated to have been performed by the user as a result of the extraction, the multiple behaviors may be presented to the user as options, allowing the user to select the correct behavior.

[0023] When the action to be performed can be unequivocally derived from the location information and time information, the action selection means can automatically select and store the action information without presenting options to the user. For example, when the location information is restaurant A and the time information is the time spent at restaurant A from 12:00 to 13:00 in the afternoon, the action selection means automatically stores the action information "Lunch (12:00 to 13:00, Restaurant A)".

[0024] The user can change the behavioral information stored in the database even after it has been stored. For example, if the user works in Cafeteria A from 12:00 to 13:00 during the day, but the behavioral information stored is "Lunch (12:00 to 13:00, Cafeteria A)," the user can change the behavioral information "Lunch (12:00 to 13:00, Cafeteria A)" to "Work (12:00 to 13:00, Cafeteria A)."

[0025] The behavior information includes location information and time information associated with the behavior. In another aspect of the behavior selection means, the behavior selection means compares previously stored location information and time information with newly acquired location information and time information, selects a behavior associated with location information and time information that is close to the newly acquired location information and time information from the previously stored location information and time information, and automatically stores behavior information related to the behavior. According to this aspect, appropriate behavior information can be automatically stored without the user having to select a behavior.

[0026] Specifically, the behavior selection means refers to the behavior history database based on the acquired location information and time information, and selects behavior information linked to location information and time information that are close to the acquired location information and time information. For example, when location information of restaurant A and time information indicating the stay time in restaurant A from 12:05 to 13:05 in the daytime are newly acquired, the behavior selection means refers to the behavior history database, and presumes that the behavior in restaurant A is "work" based on the previously stored behavior information "work (12:00 to 13:05, restaurant A)", and stores the new behavior information "work (12:05 to 13:05, restaurant A)" and accumulates it in the behavior history database.

[0027] Furthermore, the behavior selection means compares the previously stored location information and time information with the newly acquired location information and time information, and when selecting an behavior linked to similar location information and time information from the previously stored location information and time information, if there are multiple behaviors linked to similar location information and time information, the behavior selection means presents the multiple behaviors to the user as options and stores behavior information related to the behavior selected by the user. According to this aspect, the user can select the behavior that he or she truly performed from limited options by a simple operation.

[0028] For example, when location information of Restaurant B and time information indicating the stay time at Restaurant B from 12:15 to 13:15 in the daytime are newly acquired, the behavior selection means refers to the behavior history database and extracts previously stored behavior information "Work (12:00 to 13:00, Restaurant B)" and "Lunch (11:30 to 12:30, Restaurant B)". Furthermore, the behavior selection means presents the extracted "Work" and "Lunch" to the user as options. When the user selects "Lunch", the behavior selection means accumulates new behavior information "Lunch (12:15 to 13:15, Restaurant B)" in the behavior history database.

[0029] The performance information acquisition means acquires and stores performance information including performance values ​​and the time of acquisition of the results acquired by the user. The performance may be any performance that can be quantified, and includes, for example, athletic performance such as running records, running distance, number of passes, and pass success rate in soccer, batting records and pitching records in baseball, as well as health performance such as weight, body fat percentage, blood pressure value, blood glucose value, blood cholesterol value, amount of exercise in a certain period of time, calorie consumption, and academic and work performance.

[0030] The performance information acquisition means receives the performance value input by the user and the acquisition time of the performance, and stores the performance value in the performance database. In addition, when the performance value is the user's biological information (e.g., weight, body fat percentage, blood glucose level, etc.), the performance value and its acquisition time can be automatically acquired by biological information detection means such as a weight scale, a body fat measuring device, a blood glucose measuring device, etc.

[0031] The analysis means analyzes the influence of each action on the score value based on the action information on the action performed during any period from the score acquisition time. More specifically, the analysis means calculates the influence degree of each action on the score value based on the influence coefficient set in advance for each action, the action content information, and the time information.

[0032] Specifically, the analysis means performs calculation processing assuming that the impact coefficient of an action that contributes to improved grades is positive, and that the impact coefficient of an action that contributes to poor grades is negative. Furthermore, even for the same action, the positive or negative impact coefficient may differ depending on the time of day it is performed. For example, a morning meal contributes to improved grades (e.g., improved health), so the impact coefficient is positive, but a nighttime meal contributes to poor grades (e.g., worsening health), so the impact coefficient is negative.

[0033] The user can view a list of actions taken going back any period from the time of score acquisition. Furthermore, the user can understand how each action influenced the acquired score value. Preferably, the period to be analyzed is from the time of the score acquisition immediately before the score acquisition of the analysis target to the time of the score acquisition to be analyzed, and the actions to be analyzed are actions taken from the time of the score acquisition immediately before the score acquisition of the analysis target to the time of the score acquisition to be analyzed. In other words, according to the present invention, it is visualized which actions taken during that period influenced the difference between the score value of the analysis target and the score value immediately before that.

[0034] Here, the degree of influence that an individual action has on the performance score is called the individual influence. The influence calculated by the analysis means is the sum of the individual influences. In other words, the influence E from time i to time j i,j is calculated as the sum of the individual impact degrees implemented from time i to time j, and is specifically expressed as the following formula.

[0035]

number

[0036] When calculating the impact of individual actions on the performance score, we use the variable T obtained from the elapsed time as the individual impact factor. lag You can also multiply by T lag The time is set so that actions taken in the near past when the grade was obtained have a large effect on the grade value, and actions taken in the distant past when the grade was obtained have a small effect on the grade value. lag can be set individually depending on the type of target behavior, the characteristics of the user, etc.

[0037] The individual influence degree can be calculated by multiplying the influence coefficient by the influence function. The influence coefficient is a coefficient set for each behavior, and the influence coefficient of an behavior that has a large influence on the performance value is set large, and the influence coefficient of an behavior that has a small influence on the performance value is set small. The influence function includes one or more independent variables. The independent variables here are not limited, but may include, for example, the number of times the behavior is performed within a certain period of time, the time the behavior is performed, the heart rate or mental state during the behavior, and the specific content of the behavior.

[0038] For example, the impact E from time i to time j i,j is the variable T lag , the influence coefficient α, and the influence function f including the independent variables x, y, and z are calculated as shown in the following formula.

[0039]

number

[0040] The analysis means of the present invention calculates the above-mentioned influence degree, individual influence degree, and influence coefficient. As the calculation means, a known machine learning method or statistical method can be used. Specifically, logistic regression, support vector machine, neural network, multiple regression, support vector regression, Partial Least Squares (PLS) regression, etc. can be mentioned.

[0041] An example of the calculation of the impact, individual impact, and impact coefficient is shown below. t is the performance value P obtained one time before time t (t-1). t-1 In comparison, it is influenced by the actions taken between t-1 and t. In other words, the relationship between the performance value P and the influence level E is expressed by the following formula.

[0042]

number

[0043] Therefore, the influence degree E can be defined as ΔP, which indicates the change in the performance value, as shown in the following formula. The influence degree, individual influence degree, and influence coefficient differ depending on the characteristics of the user. Therefore, each user measures the performance value P multiple times, and by repeating calculations using machine learning methods or statistical methods according to the multiple performance values ​​P, the user's unique influence degree, individual influence degree, and influence coefficient can be obtained.

[0044]

number

[0045] The behavioral influence analysis system of the present invention includes a presentation means for presenting the calculation results to the user. The presentation means presents the influence degree, individual influence degree, and influence coefficient. Furthermore, the presentation means calculates the influence degree of an action performed during any period from the action performed during the period and the individual influence degree and influence coefficient of the action, calculates a predicted value of the performance the user will next obtain, and presents the predicted value. The presentation means may present the calculation results to the user by sound or a screen, and specific examples thereof include a display device such as a display, and an audio device that presents the results by sound.

[0046] The behavioral influence analysis system of the present invention may also include a user attribute database that stores user attribute information and accumulates the information. By referring to the behavioral history database and performance database of multiple users with common attribute information, statistical analysis can be performed and coefficients such as influence coefficients common to the multiple users can be set. Furthermore, the behavior selection means refers to the behavioral history database of multiple users containing common attribute information based on the acquired location information and time information, and selects behavior information linked to approximate location information and time information. As the accumulated information in the behavioral history database increases, the behavior selection means can select the user's accurate behavior with a higher probability.

[0047] The present invention further provides a behavioral influence analysis program for causing a computer to execute the above-mentioned processes, so that the computer functions as a behavioral influence analysis system by executing the program.

[0048] In other words, the behavioral influence analysis program of the present invention is a behavioral influence analysis program that causes a computer to execute the following steps: acquiring location information regarding a user's location and storing the location information; acquiring time information regarding the time the user arrives at the location and the length of time spent at the location and storing the time information; selecting an action that the user will perform at the location from the location information and time information and storing the action information regarding the action; acquiring performance information including a performance value regarding the performance obtained by the user and the time the performance was obtained and storing the performance information; and analyzing the effect of individual actions on the performance value from the action information regarding multiple actions performed going back any period from the time the performance was obtained.

[0049] The present invention further provides a behavioral influence analysis method in which a computer executes the above-mentioned process. That is, the behavioral influence analysis method of the present invention is a behavioral influence analysis method including the steps of acquiring and storing location information on the user's location, acquiring time information on the time the user arrives at the location and the duration of stay at the location, selecting an action to be performed by the user at the location from the location information and time information and storing action information on the action, acquiring performance information including a performance value and a performance acquisition time on the performance acquired by the user and storing the performance information, and analyzing the influence of each action on the performance value from the action information on a plurality of actions performed during an arbitrary period prior to the performance acquisition time. EXAMPLES

[0050] The present invention will be described in more detail with reference to examples, but the present invention is not limited to the following examples.

[0051] An embodiment of the behavior influence analysis system of the present invention is shown in Fig. 1. This embodiment is composed of a user terminal and a behavior influence analysis server connectable to the user terminal via a communication network.

[0052] The user terminal is preferably in a form that is easy for the user to carry around, and specific examples include a mobile phone, a smartphone, a tablet, a wearable device, and the like. The user terminal is equipped with a GPS, a clock, a touch panel, and a microphone. Location information and time information are detected at any time, temporarily stored in a memory unit in the user terminal, and then transmitted to the behavioral effect analysis server. Information input by the user through the touch panel or microphone is also transmitted to the behavioral effect analysis server via a communication network.

[0053] The behavioral impact analysis server comprises a control unit having a location information acquisition means, a time information acquisition means, a behavior selection means, a performance information acquisition means, an impact coefficient calculation means, an analysis means, and an analysis result presentation means, and a storage means for storing user attribute information, a behavioral history database, an impact coefficient database, and a performance database.

[0054] The location information acquisition means and time information acquisition means of the behavior influence analysis server acquire and store the location information and time information transmitted from the user terminal. The behavior selection means refers to the behavior history database and selects the behavior that is estimated to have been performed by the user from the acquired location information and time information. If only one behavior is selected, the behavior content is stored in the behavior history database in association with the location and time.

[0055] If there are multiple actions selected by the action selection means, the action influence analysis server displays the multiple actions as options on the user terminal via the communication network. The user selects the action that he or she actually performed from the options using a touch panel or the like. Information on which action was selected is transmitted to the action influence analysis server via the communication network, and the action selection means stores the action content in the action history database in association with the location and time.

[0056] Furthermore, when the user obtains a grade, the user inputs the grade value of the grade and the time of obtaining the grade using the touch panel, microphone, etc. of the user terminal. The input grade information is transmitted to the behavioral influence analysis server via the communication network, and the grade information obtaining means receives the grade information and stores it in the grade database.

[0057] The influence coefficient calculation means calculates an influence coefficient capable of quantifying the influence of an action on the performance value by statistical analysis with reference to the action history database and the performance database.

[0058] The analysis means refers to the performance database, obtains the performance acquisition time of the newly acquired performance information and the performance acquisition time of the previous one, and sets the period between the two times as the analysis target period.Furthermore, refers to the behavior history database, reads out the behavior information performed during the analysis target period, and refers to the influence coefficient database, and calculates the probability that each performed behavior has given to the newly accumulated performance value based on the influence coefficient preset for each performed behavior content.

[0059] In another embodiment, the analysis means calculates a predicted value of the next grade that the user will obtain and presents the predicted value. The analysis means refers to the grade database to obtain the grade acquisition time of the latest grade information, and sets the analysis period from the obtained time to the time of receipt of the inquiry from the user. Furthermore, the analysis means further refers to the behavior history database to read out behavior information performed during the analysis period, and refers to the influence coefficient database to calculate a predicted value of the next grade that the user will obtain based on the influence coefficient preset for each performed behavior.

[0060] The analysis result presentation means transmits the analysis result obtained by the analysis means to the user terminal via the communication network and displays it on the display of the user terminal.

[0061] Another embodiment of the behavioral influence analysis server constituting the behavioral influence analysis system of the present invention is shown in Fig. 2. In this embodiment, the storage means of the behavioral influence analysis server stores a user attribute database, a behavior history database, and a performance database for each of a plurality of users A to C. When estimating an action performed by a user based on location information and time information, the behavior selection means refers to the user attribute database and takes into account the behavior history database of a user with attributes common to that user.

[0062] Specifically, when selecting an action for user A, the action selection means refers to the user attribute database and searches for users who have attributes in common with user A. If user B does not have attributes in common with user A, but user C has attributes in common with user A, the action selection means selects an action for user A based on the action history databases for users A and C.

[0063] Similarly, when the influence coefficient calculation means of this embodiment calculates the influence coefficient, it refers to the user attribute database and performs statistical analysis including the behavior history database and performance database of users with attributes common to the user. By utilizing a lot of information in the statistical analysis, it is possible to calculate the influence coefficient with high accuracy.

[0064] In another embodiment, the location information, time information, and performance information are stored in a storage means provided in the user terminal. The storage means also stores user attribute information, a behavior history database, an influence coefficient database, and a performance database, and the above-mentioned processes such as behavior selection and calculation of influence coefficients can be performed without going through a communication network.

Claims

1. A location information acquisition means for acquiring and storing location information relating to a user's location; a time information acquiring means for acquiring and storing time information including a time when the user arrived at the location and a duration of stay at the location; an action selection means for selecting an action to be performed by a user at the location based on the location information and the time information, and storing action information relating to the selected action; A score information acquisition means for acquiring and storing score information including a score value related to the user's score and a score acquisition time; an analysis means for calculating the degree of influence of actions taken during any period prior to the score acquisition time on the score value; At least The degree of influence is [0010] It is expressed as: Analyzing the influence of each individual action on the performance value by comparing the influence degree with the performance value; Behavioral Impact Analysis System.

2. Further, a presentation means for presenting the calculation result to a user is provided, The behavioral influence analysis system according to claim 1 , wherein the presentation means presents the influence degree to a user.

3. 3. The behavioral influence analysis system according to claim 1, wherein the analysis means calculates a predicted value of a score that the user will next obtain from a degree of influence determined from a behavior performed in an arbitrary period of time.

4. The behavior information includes at least the location information and the time information associated with the behavior, The action selection means compares the newly acquired position information and time information with previously stored position information and time information, selects an action associated with similar position information and time information from the previously stored position information and time information, and stores action information related to the selected action. The behavioral influence analysis system according to any one of claims 1 to 3.

5. the behavior selection means, when there are a plurality of behaviors linked to the similar position information and time information, presents the plurality of behaviors to the user as options, and stores behavior information regarding the behavior selected by the user; The behavioral influence analysis system according to claim 4 .

6. The behavioral information of a plurality of users and the attribute information of the users are stored; The behavior information includes at least the location information and the time information associated with the behavior, the behavior selection means compares the newly acquired position information and time information with position information and time information linked to past behaviors of another user having attribute information in common with the user, selects a behavior linked to approximate position information and time information from the position information and time information linked to past behaviors of the other user having attribute information in common with the user, and stores behavior information related to the selected behavior. The behavioral influence analysis system according to claim 4 or 5.

7. acquiring location information for acquiring and storing location information relating to a user's location; acquiring time information including a time when the user arrived at the location and a duration of stay at the location; A step of selecting an action to be performed by a user at the location based on the location information and the time information, and storing action information relating to the action; acquiring score information including a score value related to the user's score and a score acquisition time, and storing the score information; calculating the degree of influence of actions taken during any period prior to the score acquisition time on the score value; analyzing the influence of each individual action on the performance value by comparing the influence degree and the performance value; Run the following on your computer: The degree of influence is [0025] It is expressed as: Behavioral Impact Analysis Program.

8. 1. A computer implemented method for behavioral influence analysis, comprising: acquiring location information for acquiring and storing location information relating to a user's location; acquiring time information including a time when the user arrived at the location and a duration of stay at the location; A step of selecting an action to be performed by a user at the location based on the location information and the time information, and storing action information relating to the action; acquiring score information including a score value related to the user's score and a score acquisition time, and storing the score information; calculating the degree of influence of actions taken during any period prior to the score acquisition time on the score value; analyzing the influence of each individual action on the performance value by comparing the influence degree and the performance value; Including, The degree of influence is [0030] It is expressed as: Behavioral impact analysis method.

Images