JP2023098155A - Computer program, information processing device and information processing method - Google Patents

Abstract

A computer program, an information processing apparatus, and an information processing method are provided that enable easy evaluation of mental health. A computer program causes a computer to acquire behavior information of a user, input the acquired behavior information into an evaluation model for evaluating mental health, and estimate the mental health of the user. [Selection drawing] Fig. 3

Description

The present invention relates to computer programs, information processing apparatuses, and information processing methods.

A variety of cognitive tests are used to assess the state of cognitive function. Cognitive decline is commonly assessed by seeking medical attention and undergoing appropriate neuropsychological testing.

In Patent Document 1, in order to determine the user's cognitive level, the question sentences of the test questions determined to have a statistically significant difference are displayed, and the feature amount calculated based on the user's answer to the question sentence is input to a trained model to determine whether or not the user is MCI.

Japanese Patent Application Laid-Open No. 2021-133129

Conventional cognitive tests are designed for subjects with relatively high severity of cognitive decline. Full marks (ceiling effect) cannot be evaluated sufficiently. On the other hand, there is a possibility that mental health decline progresses from this stage, and it is required to be able to easily evaluate mental health without visiting a medical institution.

The present invention has been made in view of such circumstances, and an object of the present invention is to provide a computer program, an information processing apparatus, and an information processing method that enable easy evaluation of mental health.

The present application includes a plurality of means for solving the above-mentioned problems, but to give an example, a computer program causes a computer to acquire user behavior information, and converts the acquired behavior information into an evaluation model for evaluating mental health. Estimate the user's mental health by inputting to run a process.

ADVANTAGE OF THE INVENTION According to this invention, evaluation of mental health can be performed simply.

It is a figure which shows an example of a structure of the information processing system of this embodiment. It is a figure which shows an example of a structure of a terminal device. It is a figure which shows an example of a structure of an information processing apparatus. It is a figure which shows an example of the collection method of a cognitive ability score. It is a figure which shows the 1st example of the collection method of action information. It is a figure which shows the 1st example of an evaluation model. It is a figure which shows the 2nd example of the collection method of action information. It is a figure which shows the 2nd example of an evaluation model. It is a figure which shows the 3rd example of the collection method of action information. FIG. 4 is a diagram showing an example of subject data (a scatter diagram of cognitive ability scores and required time). FIG. 11 is a diagram showing a third example of the evaluation model. It is a figure which shows an example of supplementary information. It is a figure which shows the estimation method of cognitive ability at the time of using the evaluation model of a 1st example. It is a figure which shows the estimation method of cognitive ability at the time of using the evaluation model of a 3rd example. It is a figure which shows an example of a cognitive ability estimation result. It is a figure which shows an example of the processing procedure by an information processing apparatus. It is a figure which shows an example of the processing procedure by a terminal device.

BEST MODE FOR CARRYING OUT THE INVENTION An embodiment of the present invention will be described below with reference to the drawings. FIG. 1 is a diagram showing an example of the configuration of an information processing system according to this embodiment. The information processing system includes an information processing device 50 . A client device 20 and a server 30 are connected to the information processing device 50 via the communication network 1 . Also, the terminal device 10 used by the user is connected to the information processing device 50 via the communication network 1 . The terminal device 10 can be composed of, for example, a smart phone, a tablet terminal, a personal computer, or the like. The client device 20 can be configured by, for example, a personal computer or the like.

FIG. 2 is a diagram showing an example of the configuration of the terminal device 10. As shown in FIG. The terminal device 10 includes a control unit 11 that controls the entire device, a communication unit 12, a memory 13, a display panel 14, an operation unit 15, a GPS 16, a microphone 17, a speaker 18, and a storage unit 19. The storage unit 19 stores a computer program 191 .

The control unit 11 can be configured by a CPU (Central Processing Unit), an MPU (Micro-Processing Unit), a GPU (Graphics Processing Unit), or the like. The control unit 11 can execute processing defined by the computer program 191 . That is, the processing by the control unit 11 is also the processing by the computer program 191 .

The communication unit 12 includes, for example, a communication module, and has a function of communicating with the information processing device 50 via the communication network 1 . The communication unit 12 can transmit user behavior information to the information processing device 50 . The communication unit 12 can receive the user's mental health estimation result from the information processing device 50 . The behavior information includes, for example, position information, dwell time, time required for unlocking, application startup time, erroneous operation/input of characters, number of steps, and the like.

The memory 13 can be composed of a semiconductor memory such as an SRAM (Static Random Access Memory), a DRAM (Dynamic Random Access Memory), or a flash memory. The computer program 191 can be developed in the memory 13 and the control unit 11 can execute the computer program 191 .

The display panel 14 can be composed of a liquid crystal panel, an organic EL (Electro Luminescence) display, or the like. The operation unit 15 can be configured by, for example, a touch panel incorporated in the display panel 14, and the user can input characters by performing a predetermined operation (for example, flick operation, touch operation, or tap operation) on the display panel 14. etc. Also, the operation unit 15 can perform operations on the keyboard displayed on the display panel 14 . Note that the operation unit 15 may be a hardware keyboard, mouse, or the like. The operation unit 15 can acquire user behavior information (for example, information regarding flick input).

A GPS (Global Positioning System) 16 measures the position of the terminal device 10 from time to time and acquires the position information of the terminal device 10 . The GPS 16 may output the acquired position information to the control unit 11 and store it in the storage unit 19 . The control unit 11 can specify the position of the terminal device 10 on the map based on the positional information and the map database stored in the storage unit 19 .

A microphone 17 can acquire the user's voice. The microphone 17 can acquire user behavior information (for example, information on voice input). The speaker 18 can output sound.

The storage unit 19 can be configured by, for example, a hard disk or a semiconductor memory, and may store necessary information in addition to the computer program 191 .

FIG. 3 is a diagram showing an example of the configuration of the information processing device 50. As shown in FIG. The information processing device 50 includes a control unit 51 that controls the entire device, a communication unit 52 , a memory 53 , an estimation unit 54 , a supplemental information calculation unit 55 and a storage unit 56 . The storage unit 56 stores a computer program 57 and an evaluation model 58 .

The control unit 51 can be configured by a CPU (Central Processing Unit), an MPU (Micro-Processing Unit), a GPU (Graphics Processing Unit), or the like. The control unit 51 can execute processing defined by a computer program 57 . That is, the processing by the control unit 51 is also the processing by the computer program 57 .

The communication unit 52 includes, for example, a communication module and has a function of communicating with the terminal device 10 , the client device 20 and the server 30 via the communication network 1 . The communication unit 52 can receive (acquire) user behavior information from the terminal device 10 . The communication unit 52 can transmit (output) the mental health estimation result of the user to the terminal device 10 . The communication unit 52 may transmit (output) the mental health estimation result of the user to the client device 20 or the server 30 .

The memory 53 can be composed of a semiconductor memory such as an SRAM (Static Random Access Memory), a DRAM (Dynamic Random Access Memory), or a flash memory. The computer program 57 can be developed in the memory 53 and the control unit 51 can execute the computer program 57 .

The estimation unit 54 inputs the behavior information acquired via the communication unit 52 to an evaluation model 58 for evaluating mental health to estimate the mental health of the user. Mental health, for example, is a term that expresses the state of mental health, and mental health disorders include not only mental disorders classified as mental and behavioral disorders, but also diseases such as stress, strong worries, and anxiety. It also includes a weak mental state. Mental health includes mental and behavioral problems that can affect social life and quality of life. Mental health includes, for example, at least one of cognition, cognitive function, life satisfaction, and well-being. Well-being is a concept that means being in a good state physically, mentally, and socially, and includes mood, comfort, fatigue, and the like. In addition, physical health may be sufficient as mental health. Physical health includes, for example, the amount of activity, the amount of resistance, the presence or absence of lifestyle-related diseases, and the like. In this specification, cognition is described as an example of mental health, but as described above, mental health is not limited to cognition. The details of the estimation of cognitive ability will be described later.

The supplemental information calculator 55 calculates supplemental information regarding the evaluation model 58 . The supplementary information includes information that serves as a basis for the likelihood of the evaluation value evaluated by the evaluation model 58 . The details of the supplementary information will be described later.

The storage unit 56 can be configured by, for example, a hard disk or a semiconductor memory, and may store necessary information in addition to the computer program 57 and the evaluation model 58 .

Next, a method for generating the evaluation model 58 for evaluating the user's cognitive ability (mental health) will be described. To generate the evaluation model 58, first, (1) collect a cognitive score for each of a number of subjects, (2) collect behavioral information for each of the subjects, and (3) based on the collected cognitive scores An evaluation model 58 is generated by identifying the relationship between the objective variable and explanatory variables based on the collected behavioral information. They will be described in order below. In this specification, the subject refers to a person involved in the collection of cognitive ability scores and the collection of behavioral information for the generation of the evaluation model 58, and the user refers to a subject whose cognitive ability is estimated. do. A user may be included in the subjects.

FIG. 4 is a diagram showing an example of a method of collecting cognitive scores. A cognitive function test is performed on a subject who has the terminal device 10 . Cognitive function tests can be, for example, forward chant, back chant, Stroop, addition, subtraction, and n-back tasks, but are not limited to these. In the forward recital task, subjects were shown a predetermined number of numbers and asked to answer in the order in which they were presented. It is to be answered. The Stroop task consists of a reading task to read a card with a color name word, a color name calling task to read a card with a figure painted with multiple colors, and a color name word different from the color name. It measures the time required for an interference task to say the ink color of a word on a card printed with . In the N-back task, subjects are shown a series of letters and asked to answer whether or not they are the same as the letter N times before. The scores obtained from each task are standardized and added up to calculate the cognitive ability score. The cognitive ability score illustrated in FIG. 4 is a numerical value within the range of -10.0 to 10.0. A cognitive score of 0 indicates average. A positive cognitive score indicates higher than average cognitive ability (higher cognitive functioning), and a negative cognitive score indicates lower than average cognitive ability (lower cognitive functioning).

FIG. 5 is a diagram showing a first example of a behavior information collection method. The action information includes information about a predetermined operation on the terminal device 10 used by the user, and a first example of the action information is information about voice input (specifically, time of voice input of words). A test subject holding the terminal device 10 measures the time taken to input a word by voice. As shown in FIG. 5, the display panel 14 of the terminal device 10 displays a message "Please read aloud and memorize the words", and a predetermined number (for example, 10) of words (for example, "Sakura", . . . ) is displayed for a predetermined time (for example, 2 seconds). After displaying a predetermined number of words, the user is prompted to recall and say out loud one of the 10 memorized words. When the subject presses "Next", the control unit 11 starts measuring time. Finally, when all the memorized words have been said, the subject is urged to press "Next". Calculate the duration of voice input. This makes it possible to specify the time of voice input of the subject's word.

FIG. 6 is a diagram showing a first example of the evaluation model 58. As shown in FIG. The vertical axis indicates the subject's cognitive score, and the horizontal axis indicates the subject's voice input time. The subject's cognitive ability score is collected by the method illustrated in FIG. 4, and the speech input time is collected by the method illustrated in FIG. Plotting the data of each subject (cognitive ability score and voice input time) results in FIG. 6 (dots in the figure). A plot like FIG. 6 is also called a scatter diagram.

The evaluation model 58 can be obtained as a regression line (which can be represented by a linear function y=ax+b in the example of FIG. 6) that can be used to explain the cognitive ability score (objective variable Y) in terms of the speech input time (explanatory variable X). can. The regression line can be obtained by minimizing the residual between the values on the regression line and the plotted values (method of least squares). Note that the evaluation model 58 is not limited to a linear function.

FIG. 7 is a diagram showing a second example of the behavior information collection method. A second example of the action information is information on flick input (specifically, the time of character flick input). For the subject holding the terminal device 10, the flick input time of displayed characters (sentences) is measured. As shown in FIG. 7, the display panel 14 of the terminal device 10 displays a message "Please enter the displayed text". When the subject presses "Next", the sentence to be input is displayed and "Please press "Start" to enter the sentence. When you have finished entering the text, press "Finish". So are you ready? is displayed, and the subject presses "start", the control unit 11 starts measuring time. When the subject inputs a sentence by a flick operation and presses "end", the control unit 11 ends the time measurement and calculates the time required for character flick input. This makes it possible to specify the time of the subject's character flick input. As an explanatory variable, in addition to the character flick input time, the number of typographical errors in the input characters may be considered. As a result, explanatory variables can be bivariate.

FIG. 8 is a diagram showing a second example of the evaluation model 58. As shown in FIG. The vertical axis indicates the subject's cognitive ability score, and the horizontal axis indicates the subject's character input time. The subject's cognitive ability score is collected by the method illustrated in FIG. 4, and the character input time is collected by the method illustrated in FIG. Plotting the data (cognitive ability score and character input time) of each subject is shown in FIG. 8 (dots in the figure).

As in the case of FIG. 6, the evaluation model 58 uses a regression line (in the example of FIG. 8, the linear function y= a'x+b'). The regression line can be obtained by minimizing the residual between the values on the regression line and the plotted values (method of least squares).

FIG. 9 is a diagram showing a third example of the behavior information collection method. A third example of behavior information includes the time required (staying time) of the user at a predetermined place. Predetermined locations include, for example, stores such as convenience stores, supermarkets, and ATMs. When the subject carrying the terminal device 10 moves, the control unit 11 identifies the position of the terminal device 10 on the map. By specifying the time t1 when the subject entered the store and the time t2 when the subject left the store, the length of stay (t2-t1) at the store can be determined.

FIG. 10 is a diagram showing an example of subject data (a scatter diagram of cognitive ability scores and required time). Assume that there is a set of data points denoted by symbol A and a data point denoted by symbol B. The data denoted by symbol B are outliers because they are far from set A. When trying to obtain a regression line using only the data indicated by symbol A, it may not be possible to obtain a highly reliable regression line. In such a case, outliers such as those indicated by symbol B may be considered.

FIG. 11 is a diagram showing a third example of the evaluation model 58. As shown in FIG. The vertical axis indicates the subject's cognitive ability score, and the horizontal axis indicates the subject's required time (staying time). For the subject's cognitive ability score, for example, the score of the cognitive function test illustrated in FIG. 4 can be used. The cognitive ability score can be, for example, the sum of the average score of the forward singing task and the average score of the reverse singing task, but is not limited to this. The required time can be, for example, the time spent in a convenience store (time required for shopping). Plotting the data (cognitive score and required time) of each subject results in FIG.

As in the case of FIG. 6, the evaluation model 58 uses a regression line (linear function y=cx+d can be expressed as ). The regression line can be obtained by minimizing the residual between the values on the regression line and the plotted values (method of least squares).

As described above, the evaluation model 58 uses different evaluation formulas depending on the types of explanatory variables used based on the behavior information attributes (for example, voice input time, character input time, stay time at a predetermined place, etc.). (regression line) can be generated.

The evaluation model 58 may be a learning model (eg, neural network, etc.) generated by machine learning. A method of generating a learning model can be, for example, as follows. As described above, the behavioral information of the subject is collected, the cognitive score of the subject is collected, and the collected behavioral information and cognitive score are used as training data. A learning model can be generated to output the subject's cognitive ability score when the subject's behavioral information is input. The action information to be input may be one type of action information (for example, any one of voice input time, character input time, staying time at a predetermined place, etc.), or a plurality of types of action information (for example, voice input time , character input time, staying time at a predetermined place, etc.).

Next, supplementary information that serves as a basis for the certainty of the evaluation values of the evaluation model 58 will be described.

FIG. 12 is a diagram showing an example of supplementary information. The correlation coefficient r is an index that indicates the relationship between the explanatory variable and the objective variable. Assuming that the explanatory variable is x and the objective variable is y, the correlation coefficient r can be obtained by r=Sxy/(Sx·Sy). Sxy indicates the covariance of x and y, Sx indicates the standard deviation of x, and Sy indicates the standard deviation of y. The value of the correlation coefficient r can take values from -1 to 1. There is almost no correlation when -0.2≤r≤0.2, and moderate correlation when -0.7≤r≤-0.4 or 0.4≤r≤0.7. be.

The coefficient of determination R ² is an index indicating how much the explanatory variable can explain the objective variable, and is an index of the applicability of the prediction of the evaluation model 58 to the actual data. The coefficient of determination R ² is a value obtained by dividing the sum of squared deviations of the predicted values of the objective variable by the sum of squared deviations of the observed values of the objective variable. The number of samples N is the number of subjects (population parameter).

The t-value is an index for evaluating whether the coefficient of the explanatory variable (the slope of the regression line) is statistically significant in linear regression, and can be obtained by dividing the coefficient of the explanatory variable by the standard deviation. . If the value of the t-value is greater than 2, the coefficient can be evaluated as non-zero (uncorrelated).

The degree of freedom f evaluates whether there is a difference between the mean value of a population and a specific value. The degree of freedom f is, for example, the number of variation factors when performing a one-sample t-test. is the number of data that can be taken in

The p-value, like the t-value, is an index for evaluating whether the regression coefficient has statistical significance. If the p-value is less than 0.05 (5%), the coefficient correlation).

Outlier d is the value of the explanatory variable x1, the mean μ, and the standard deviation σ. Outliers can be determined. The evaluation formula of the evaluation model can be, for example, a linear function representing a regression line.

Next, a method for estimating the user's cognitive ability will be described.

FIG. 13 is a diagram showing a method of estimating cognitive ability when using the evaluation model 58 of the first example. In the terminal device 10, using a method similar to the method illustrated in FIG. Send to device 50 . The control unit 51 (computer program 57) of the information processing device 50 acquires the voice input time (behavior information) of the user, and stores the acquired voice input time (behavior information) in the evaluation model 58 of the first example shown in FIG. to enter. The estimation unit 54 can estimate the user's cognitive ability using the evaluation formula (regression line) of the evaluation model 58 .

Although not shown, the method of estimating cognitive ability when using the evaluation model 58 of the second example is also the same as in the case of FIG. That is, the control unit 11 (computer program 191 ) acquires the character input time (behavior information) of the user and transmits the acquired character input time to the information processing device 50 . The control unit 51 (computer program 57) of the information processing device 50 acquires the character input time (behavior information) of the user, and stores the acquired character input time (behavior information) in the evaluation model 58 of the second example shown in FIG. to enter. The estimation unit 54 can estimate the user's cognitive ability using the evaluation formula (regression line) of the evaluation model 58 .

FIG. 14 is a diagram showing a method of estimating cognitive ability when using the evaluation model 58 of the third example. In the terminal device 10, using a method similar to the method illustrated in FIG. Send to The control unit 51 (computer program 57) of the information processing device 50 acquires the user's required time (behavior information), and inputs the acquired required time (behavior information) into the evaluation model 58 of the third example shown in FIG. do. The estimation unit 54 can estimate the user's cognitive ability using the evaluation formula (regression line) of the evaluation model 58 .

As described above, according to the present embodiment, in a general cognitive function test designed for subjects with relatively high severity of cognitive function decline, the cognitive function determined to be healthy subjects is sufficiently high Daily life A user at a stage where there is no problem with the cognitive function can easily estimate the deterioration of cognitive ability that is already progressing. By performing simple input operations on the terminal device 10 that the user uses on a daily basis, or by simply carrying it around and performing daily actions, it is possible to acquire behavioral information necessary for estimating cognitive ability, so it is possible to obtain medical information. No need to visit an institution.

A user who is judged to be healthy and whose cognitive function is sufficiently high and does not interfere with daily life does not need to visit a medical institution, and a user whose cognitive function is preferably measured passively, It can be divided into a stage where an individual consciously measures cognitive function (a user who is conscious of actively measuring cognitive function), although it does not reach a medical institution. In this embodiment, it is possible to easily evaluate the cognitive ability of users in both stages.

FIG. 15 is a diagram showing an example of cognitive ability estimation results. The control unit 51 of the information processing device 50 can transmit (output) the user's cognitive power estimation result (including the user's estimated cognitive power) to the terminal device 10 . The terminal device 10 can display the cognitive ability estimation result on the display panel 14 . As shown in FIG. 15, the cognitive ability estimation result is the estimated cognitive ability score as "Your cognitive ability result", and the user's input time (voice input, character input ), including required time (staying time at a given place). As a result, the user can grasp his/her own cognitive ability and behavioral information based on which the cognitive ability is estimated.

In addition, the cognitive ability estimation result includes determination of whether "your cognitive ability" is above average, average, or below average. As a result, the user can easily grasp whether his own cognitive ability is better, worse, or average compared to others (average). Note that the average may be stratified according to attributes (for example, gender, age, etc.) and compared with the average of the attributes corresponding to the attributes of the user.

Also, the cognitive ability estimation result may include the supplementary information illustrated in FIG. 12 . As a result, the user can grasp the accuracy (likelihood) of the cognitive ability (evaluation value) evaluated by the evaluation model used for estimating the cognitive ability and the outliers of the explanatory variables of the evaluation model.

The information processing device 50 may output cognitive ability estimation results (for example, a list of cognitive ability estimation results for each user, etc.) to the client device 20 and the server 30 . The client device 20 can be, for example, a device used by a person in charge of an insurance company, and can grasp the cognitive power estimation result of each user who has made an insurance contract. In addition, the server 30 can collect the cognitive power estimation results of each user and create a database.

FIG. 16 is a diagram showing an example of a processing procedure by the information processing device 50. As shown in FIG. In the following description, for the sake of convenience, the main body of processing is assumed to be the control unit 51 . The control unit 51 acquires user behavior information from the terminal device 10 (S11), and selects an evaluation model according to the acquired behavior information (S12). The control unit 51 inputs the acquired behavior information to the selected evaluation model to estimate the cognitive ability score of the user (S13).

The control unit 51 specifies supplementary information according to the selected evaluation model (S14), outputs the cognitive power estimation result including the user's cognitive power score and the supplementary information (S15), and ends the process.

FIG. 17 is a diagram showing an example of a processing procedure by the terminal device 10. As shown in FIG. In the following description, the control unit 11 is assumed to be the subject of processing for the sake of convenience. The control unit 11 acquires user behavior information (S21), and transmits the acquired behavior information to the information processing device 50 (S22).

The control unit 11 receives the user's cognitive power estimation result estimated based on the behavior information from the information processing device 50 (S23), displays the received cognitive power estimation result on the display panel 14 (S24), and executes the process. finish.

In this embodiment, the behavior information may include at least one of the user's movement speed, movement range, and stop time during movement. In this case, an evaluation model is generated with the user's cognitive ability score as the objective variable and the user's movement speed, movement range, and stop time during movement as explanatory variables, and evaluation is performed according to the user's behavior information. A model should be selected.

In this embodiment, the evaluation model is described as evaluating cognitive ability, but this embodiment is also applied when evaluating mental health other than cognitive ability, such as cognitive function, life satisfaction, or well-being. can.

A computer program according to the present embodiment causes a computer to acquire behavior information of a user, input the acquired behavior information into an evaluation model for evaluating mental health, and estimate the mental health of the user.

In the computer program of this embodiment, the mental health includes at least one of cognition, cognitive function, life satisfaction, and well-being.

A computer program according to the present embodiment causes a computer to execute a process of acquiring the behavior information recorded in the terminal device used by the user.

In the computer program of this embodiment, the behavior information includes information regarding a predetermined operation on the terminal device used by the user.

In the computer program of this embodiment, the predetermined operation includes flick input or voice input.

In the computer program of this embodiment, the behavior information includes the user's staying time at a predetermined place.

In the computer program of this embodiment, the behavior information includes at least one of the user's movement speed, movement range, and stop time during movement.

A computer program according to the present embodiment causes a computer to execute a process of outputting the estimated mental health of the user.

A computer program according to the present embodiment causes a computer to execute processing for outputting the probability of mental health evaluated by the evaluation model.

A computer program according to the present embodiment causes a computer to execute a process of outputting an outlier of an explanatory variable of the evaluation model.

The computer program of the present embodiment collects cognitive test scores for a plurality of subjects, collects behavioral information of the plurality of subjects, collects objective variables based on the collected cognitive test scores, and collects A process of generating the evaluation model indicating the relationship with the explanatory variables based on the behavioral information is executed.

The information processing apparatus of the present embodiment includes an acquisition unit that acquires behavior information of a user, and an estimation unit that inputs the acquired behavior information into an evaluation model for evaluating mental health to estimate the mental health of the user. .

The information processing method of the present embodiment acquires behavior information of a user, inputs the acquired behavior information into an evaluation model for evaluating mental health, and estimates the mental health of the user.

A computer program of the present embodiment is a computer program that operates on a terminal device, acquires behavior information of a user in a computer, transmits the acquired behavior information to an information processing device, and estimates based on the behavior information. The user's mental health estimation result is received from the information processing device.

1 communication network 10 terminal device 11 control unit 12 communication unit 13 memory 14 display panel 15 operation unit 16 GPS
17 microphone 18 speaker 19 storage unit 191 computer program 20 client device 30 server 50 information processing device 51 control unit 52 communication unit 53 memory 54 estimation unit 55 supplementary information calculation unit 56 storage unit 57 computer program 58 evaluation model

Claims (14)

to the computer,
Acquire user behavior information,
estimating the user's mental health by inputting the acquired behavior information into an evaluation model for evaluating mental health;
A computer program that causes a process to be performed. the mental health includes at least one of cognition, cognitive function, life satisfaction, and well-being;
2. A computer program as claimed in claim 1. to the computer,
Acquiring the behavior information recorded in the terminal device used by the user;
3. The computer program according to claim 1 or 2, causing a process to be executed. The behavior information includes information about a predetermined operation on the terminal device used by the user,
4. A computer program according to any one of claims 1-3. The predetermined operation includes flick input or voice input,
5. Computer program according to claim 4. The behavior information includes the user's staying time at a predetermined place,
Computer program according to any one of claims 1 to 5. The behavior information includes at least one of the user's movement speed, movement range, and stop time during movement,
Computer program according to any one of claims 1 to 6. to the computer,
outputting an estimated mental health of the user;
8. The computer program according to any one of claims 1 to 7, causing a process to be executed. to the computer,
outputting the probability of mental health evaluated by the evaluation model;
9. The computer program according to any one of claims 1 to 8, causing a process to be executed. to the computer,
outputting outliers of the explanatory variables of the evaluation model;
10. The computer program according to any one of claims 1 to 9, causing a process to be executed. to the computer,
Collect cognitive test scores for multiple subjects,
collecting behavioral information of the plurality of subjects;
generating the evaluation model that shows the relationship between the objective variable based on the collected cognitive test score and the explanatory variable based on the collected behavioral information;
11. The computer program according to any one of claims 1 to 10, causing a process to be executed. an acquisition unit that acquires user behavior information;
an estimating unit that inputs the acquired behavior information to an evaluation model for evaluating mental health and estimates the mental health of the user;
Information processing equipment. Acquire user behavior information,
estimating the user's mental health by inputting the acquired behavior information into an evaluation model for evaluating mental health;
Information processing methods. A computer program running on a terminal device,
to the computer,
Acquire user behavior information,
Sending the acquired behavior information to the information processing device,
receiving, from the information processing device, an estimation result of the user's mental health estimated based on the behavior information;
A computer program that causes a process to be performed.

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