Information processing device, information processing method, and program

Abstract

To provide information for users to understand the state of male sexual function. [Solution] The information processing device 1 has a biometric data acquisition unit 131 that acquires biometric data of the user to be predicted, a questionnaire data acquisition unit 132 that acquires questionnaire data in which the user to be predicted answers questions about their daily life, and an output unit 133 that inputs the biometric data and questionnaire data into a trained model that outputs male function information indicating the degree of male sexual function when the biometric data and questionnaire data are input, and outputs the male function information about the user to be predicted.

Description

[Technical Field]

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

[0002] BACKGROUND ART A system is known that predicts a user's health condition based on the user's biological information (see, for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2024-11287 Summary of the Invention [Problem to be solved by the invention]

[0004] It is known that after the age of 40, the amount of male hormones decreases, causing various symptoms such as decreased libido, sexual function, concentration or memory, fatigue, sweating, hot flashes, anxiety, insomnia, and depression. Existing technologies have not been able to predict the state of male function related to the amount of male hormones. As a result, users have not been able to be aware of taking appropriate measures to maintain male function at the appropriate time.

[0005] The present invention has been made in consideration of these points, and aims to provide information that allows users to understand the state of male sexual function. [Means for solving the problem]

[0006] An information processing device of the first aspect of the present invention includes a biometric data acquisition unit that acquires biometric data of a user to be predicted, a questionnaire data acquisition unit that acquires questionnaire data in which the user to be predicted answers questions about their daily life, and an output unit that inputs the biometric data and the questionnaire data into a trained model that outputs male function information indicating the degree of male sexual function when the biometric data and the questionnaire data are input, and outputs the male function information about the user to be predicted.

[0007] The trained model may be a trained model that has been machine-learned based on training data that associates the questionnaire data answered by each of a plurality of training users, the biometric data obtained from each of the plurality of training users, and male function information of each of the plurality of training users.

[0008] The biological data may include an index correlated with the blood flow, oxygen supply, or activity level of the user to be predicted.

[0009] The biometric data may include at least one of information indicating the sleeping status of the user to be predicted, information indicating the heart rate of the user to be predicted, information indicating the pulse wave of the user to be predicted, information indicating the maximum oxygen intake of the user to be predicted, and information indicating the number of steps of the user to be predicted.

[0010] The questionnaire data may include answers to questions about the health condition of the user to be predicted.

[0011] The questionnaire data may include at least one of drinking habits, exercise, sex life, and dietary habits over a predetermined period of time.

[0012] The male function information may be information indicating the strength of a physiological function correlated with the amount of male hormone.

[0013] The male function information may be information indicating at least one of the amount of male hormone, the number of erections in a predetermined period, the duration of erections, and the hardness of the penis during erection.

[0014] The device may further include a selection unit that selects an activity to be recommended to the user to be predicted from among a plurality of activities that have been predefined as having the effect of improving male function, based on the degree of male function indicated by the male function information output by the output unit, and a display control unit that displays information indicating the activity selected by the selection unit on an information terminal used by the user to be predicted.

[0015] The selection unit may input the male function information of the user to be predicted and auxiliary information including at least one of the biometric data and the questionnaire data into an activity selection model that has been machine-trained to output recommended activity content when the male function information and the auxiliary information are input, and select the recommended activity content output by the activity selection model as the activity to be recommended to the user to be predicted.

[0016] The selection unit may input the male function information of the user to be predicted and interest information indicating the responses to a questionnaire regarding the user's interests into an activity selection model that has been machine-learned to output recommended activity content when the male function information and interest information are input, and select the recommended activity content output by the activity selection model as the activity to be recommended to the user to be predicted.

[0017] The device may further include a hormone data acquisition unit that acquires hormone data indicating the level of male hormone levels in the user to be predicted, and the output unit may further input the hormone data into the trained model and output the male function information for the user to be predicted.

[0018] An information processing method of a second aspect of the present invention includes a biometric data acquisition step executed by a computer to acquire biometric data of a user to be predicted; a questionnaire data acquisition step to acquire questionnaire data in which the user to be predicted answers questions about their daily life; and an output step to input the biometric data and the questionnaire data into a trained model that outputs male function information indicating the degree of male sexual function when the biometric data and the questionnaire data are input, and output the male function information about the user to be predicted.

[0019] In a third aspect of the program of the present invention, a computer is caused to execute a biometric data acquisition step of acquiring biometric data of a user to be predicted, a questionnaire data acquisition step of acquiring questionnaire data in which the user to be predicted answers questions about their daily life, and an output step of inputting the biometric data and the questionnaire data into a trained model that outputs male function information indicating the degree of male sexual function when the biometric data and the questionnaire data are input, and outputting the male function information about the user to be predicted.

[0020] An information processing system according to a fourth aspect of the present invention includes a biometric data acquisition unit that acquires biometric data of a user to be predicted, a questionnaire data acquisition unit that acquires questionnaire data in which the user to be predicted answers questions about their daily life, a memory unit that stores a trained model that outputs male function information indicating the degree of male sexual function when the biometric data and the questionnaire data are input, and an output unit that inputs the biometric data and the questionnaire data into the trained model and outputs the male function information about the user to be predicted. [Effects of the Invention]

[0021] According to the present invention, it is possible to provide information that allows a user to understand the state of male sexual function. [Brief explanation of the drawings]

[0022] [Figure 1]1 is a diagram for explaining an overview of an information processing system S according to an embodiment. [Figure 2] 1 is a block diagram showing a configuration of an information processing device 1. FIG. [Figure 3] 10 is a diagram showing an example of biometric data acquired by a biometric data acquisition unit 131. FIG. [Figure 4] 10 is a diagram showing an example of questionnaire data acquired by a questionnaire data acquisition unit 132. FIG. [Figure 5] 10 is a diagram showing an example of a screen displayed by a display control unit 134. FIG. [Figure 6] 10 is a diagram showing an example of a screen displayed by a display control unit 134. FIG. [Figure 7] 3 is a flowchart showing the flow of processing in the information processing device 1. [Figure 8] FIG. 10 is a block diagram showing a configuration of an information processing device 1A according to a modified example. DETAILED DESCRIPTION OF THE INVENTION

[0023] [Outline of Information Processing System S] FIG. 1 is a diagram for explaining an overview of an information processing system S. The information processing system S is a system for collecting information on the lifestyle and health status of male function, predicting the state of male function of a user based on the collected information, and providing information based on the prediction results. The information processing system S has an information processing device 1, an information terminal 2, and a measurement terminal 3. The information processing device 1 and the information terminal 2 are communicably connected via a network. Note that the information terminal 2 and the measurement terminal 3 may be configured as an integrated unit.

[0024] The information processing device 1 is a device for predicting the state of male function of a user and providing information based on the prediction result. The user is a user who uses the services provided by the information processing system S. Hereinafter, the user whose state of male function is predicted by the information processing device 1 may be referred to as a "prediction target user."

[0025] The information terminal 2 is a terminal used by the user U. The information terminal 2 is, for example, a smartphone, a tablet, or a personal computer. The information terminal 2 transmits information used for prediction to the information processing device 1, and displays a screen based on the information acquired from the information processing device 1.

[0026] The measurement terminal 3 is a device for detecting the activity and health condition of a user. The measurement terminal 3 is, for example, an activity meter, a pedometer, a smart watch, a blood pressure monitor, a weight scale, or an IoT (Internet of Things) device.

[0027] The measurement terminal 3 detects the activity and health condition of the user U and generates biometric data. The biometric data is data indicating the activity and vital signs of the user. Details will be described later, but as an example, the biometric data includes indicators correlated with the blood flow, blood pressure, oxygen supply, or activity level of the user U.

[0028] Male menopause is known to occur due to a decline in the secretion of the male hormone testosterone with aging, and is accompanied by physical, psychological, and sexual symptoms. Unlike female menopause, male menopause tends to be accompanied by a gradual decline in male hormones, leading to gradual onset of symptoms, making it difficult to detect. Therefore, the information processing system S provides users with information to recognize these changes in hormone balance, enabling them to take appropriate measures to prevent the various symptoms associated with male menopause. The following describes the processing performed by the information processing system S to provide such information.

[0029] The information terminal 2 acquires the biometric data from the measurement terminal 3 ((1) in FIG. 1). The information processing device 1 acquires the biometric data from the information terminal 2 ((2) in FIG. 1).

[0030] The information processing device 1 acquires questionnaire data from the information terminal 2 ((3) in FIG. 1). The questionnaire data is data in which the user U answers questions about their daily life. As will be described in detail later, the questionnaire data includes answers to questions about the health status of the user U. The questionnaire data includes at least one of drinking habits, exercise, sex life, and dietary status over a predetermined period of time.

[0031] The information processing device 1 outputs male function information based on the acquired biological data and questionnaire data ((4) in FIG. 1). The male function information is information indicating the level of male sexual function. As an example, the male function information indicates the strength of physiological functions correlated with the amount of male hormones.

[0032] The information processing device 1 inputs biometric data and questionnaire data into the prediction model and outputs male function information. The prediction model is trained to output male function information when the biometric data and questionnaire data are input. The information processing device 1 may store the prediction model or may acquire the prediction model from an external device (not shown).

[0033] The information processing device 1 displays the male function information on the information terminal 2 ((5) in FIG. 1). As an example, when the male function information indicates the predicted results of the male hormone levels of the user U, the information processing device 1 displays a screen including the predicted results of the male hormone levels of the user U on the information terminal 2.

[0034] In the example shown in FIG. 1, the measurement terminal 3 transmits biometric data to the information processing device 1 via the information terminal 2. However, the measurement terminal 3 may transmit biometric data to the information processing device 1.

[0035] The information processing system S acquires biometric data and questionnaire data, and outputs male function information based on the acquired biometric data and questionnaire data, thereby enabling the user to understand the state of male sexual function.

[0036] [Configuration of information processing device 1] 2 is a block diagram showing the configuration of the information processing device 1. The information processing device 1 has a communication unit 11, a storage unit 12, and a control unit 13. The control unit 13 has a biometric data acquisition unit 131, a questionnaire data acquisition unit 132, an output unit 133, a display control unit 134, a selection unit 135, and a learning unit 136.

[0037] The communication unit 11 is a communication interface for transmitting and receiving data to and from other devices via a network. The storage unit 12 is a storage medium including a ROM (Read Only Memory), a RAM (Random Access Memory), an SSD (Solid State Drive), a hard disk drive, etc. The storage unit 12 stores in advance a program to be executed by the control unit 13.

[0038] The control unit 13 is a processor such as a CPU (Central Processing Unit), etc. The control unit 13 executes the programs stored in the storage unit 12, thereby functioning as a biometric data acquisition unit 131, a questionnaire data acquisition unit 132, an output unit 133, a display control unit 134, a selection unit 135, and a learning unit 136.

[0039] The biometric data acquisition unit 131 acquires biometric data of the user U. As an example, the biometric data includes at least one of information indicating the sleeping condition of the user U, information indicating the heart rate of the user U, information indicating the pulse wave of the user U, information indicating the maximum oxygen intake of the user U, and information indicating the number of steps taken by the user U. As an example, the biometric data may include sleep time, REM sleep time, the number of REM sleep periods, heart rate, pulse wave waveform, maximum oxygen intake, weight, body fat percentage, calories burned, distance traveled, exercise intensity, or exercise duration.

[0040] FIG. 3 is a diagram showing an example of biometric data acquired by the biometric data acquisition unit 131. The biometric data includes "user ID," "acquisition date," "sleep duration," "REM sleep duration," "sleep state score," "heart rate," and "VO2." "User ID" is an ID (identification) for identifying the user for whom the biometric data is a target. "acquisition date" indicates the date on which the biometric data indicated by the record was acquired. "sleep duration" indicates the amount of time the user slept. "REM sleep duration" indicates the amount of time spent in REM sleep during the sleep duration. The biometric data may also include the number of REM sleep episodes. "sleep state score" is a score that quantifies the quality of the user's sleep. "heart rate" is the user's heart rate. "heart rate" may be the average heart rate during the collection period or the heart rate detected at a specific timing during the collection period. "VO2" indicates maximum oxygen uptake.

[0041] In the example of FIG. 3, an example is described in which biometric data measured or tallied on a daily basis is acquired, but the timing for measuring or tallying the biometric data may be longer or shorter than this.

[0042] The biometric data acquiring unit 131 acquires biometric data from the information terminal 2. The biometric data acquiring unit 131 may acquire biometric data from the measurement terminal 3. The biometric data acquiring unit 131 may store the acquired biometric data in the storage unit 12. The biometric data acquiring unit 131 may acquire biometric data periodically, or may acquire biometric data when the display control unit 134 receives a request to display a screen including male sexual function information.

[0043] The questionnaire data acquisition unit 132 acquires questionnaire data in which the user U answers questions about their daily lives. The questionnaire data acquisition unit 132 acquires the questionnaire data from the information terminal 2. The questionnaire data acquisition unit 132 may store the acquired questionnaire data in the storage unit 12.

[0044] FIG. 4 is a diagram showing an example of questionnaire data acquired by the questionnaire data acquisition unit 132. The questionnaire data includes "user ID," "acquisition date," "amount of alcohol consumed," "amount of smoking consumed," "medical history," "exercise habits," and "sex life." In the questionnaire data shown in FIG. 4, "amount of alcohol consumed," "amount of smoking consumed," "medical history," "exercise habits," and "sex life" respectively indicate the amount of alcohol consumed per day by user U, the amount of smoking consumed per day, medical history, exercise habits, and number of times the user has had sex. The questionnaire data may also include gender, date of birth, height, weight, surgical history, eating habits, or health checkup results.

[0045] While answers to questions about medical history, surgical history, height, etc. are expected to change little from day to day, answers to questions about alcohol consumption, smoking amount, exercise habits, number of meals, dietary content, and sex life are expected to change over a short period of time. Therefore, the questionnaire data acquisition unit 132 may be configured to acquire answers to questions whose answers will change little at a predetermined time, such as at the time of user registration, and acquire answers to questions whose answers may change over a short period of time at a predetermined interval (for example, daily, weekly, monthly, etc.).

[0046] The output unit 133 inputs the biometric data acquired by the biometric data acquisition unit 131 and the questionnaire data acquired by the questionnaire data acquisition unit 132 into a prediction model and outputs male function information about the user U. The male function information indicates, for example, at least one of the amount of male hormone, the number of erections in a predetermined period, the duration of the erections, and the hardness of the penis when erect. The number of erections and the duration of the erections in a predetermined period and the hardness of the penis when erect are, for example, the number of erections and the duration of the erections during sleep or upon waking during the period covered by the biometric data and the hardness of the penis when erect.

[0047] The output unit 133 acquires a prediction model, inputs the biological data and the questionnaire data into the acquired prediction model, and causes the prediction model to output the male function information. As an example, the output unit 133 may associate the level of male function indicated by the output male function information with the user ID of the user U and the date on which the male function information was predicted, and store them in the storage unit 12.

[0048] It is expected that the accuracy of prediction will be improved by predicting the level of male function based on multiple data acquired over a predetermined period (e.g., one week, one month, etc.). Therefore, the output unit 133 may input biological data acquired at multiple points in time during the predetermined period into a prediction model to output male function information. Furthermore, when questionnaire data is acquired at a predetermined cycle, the output unit 133 may output male function information further based on the questionnaire data acquired at multiple points in time during the predetermined period.

[0049] The display control unit 134 displays a screen including the male function information on the information terminal 2. Fig. 5 is a diagram showing an example of the screen displayed by the display control unit 134. The screen shown in Fig. 5 shows an example in which the prediction model outputs male function information indicating the amount of male hormones.

[0050] The screen shown in Figure 5 displays information indicating the status of user U's male function, information indicating user U's status compared to that of people of the same generation, and information indicating monthly changes.

[0051] The information processing device 1 acquires biometric data and questionnaire data, and outputs male function information based on the acquired biometric data and questionnaire data, thereby providing information for the user to understand the state of male sexual function.

[0052] [Recommendation processing based on prediction results] In order to lead the user to change their behavior based on the prediction results, it is necessary for the user to be able to recognize the actions that should be taken to improve male function. Therefore, the information processing device 1 may be configured to present recommended actions based on the prediction results.

[0053] The selection unit 135 selects an activity to be recommended to the user U from a plurality of activities predefined as activities that have the effect of improving male function, based on the level of male function indicated by the male function information output by the output unit 133. The activity that has the effect of improving male function may be, for example, an activity for improving exercise habits or dietary habits, or may be purchasing a predetermined supplement.

[0054] To enable the selection unit 135 to select an activity to recommend, the storage unit 12 stores an activity table including candidate activities to recommend to the user. As an example, the activity table associates activities that have the effect of improving male sexual function with conditions for selecting the activity. For example, the activity table includes a recommendation of walking when the number of steps indicated by the biological data is equal to or less than a predetermined threshold. The selection unit 135 refers to the activity table and selects an activity to recommend to the user. Note that, as will be described later, the selection unit 135 may select an activity to recommend to the user using a trained model.

[0055] The display control unit 134 displays information indicating the activity selected by the selection unit 135 on the information terminal 2 used by the user U. FIG. 6 is a diagram showing an example of a screen displayed by the display control unit 134 in this case. The screen shown in FIG. 6 displays the activity recommended to the user, selected by the selection unit 135. When the activity selected by the selection unit 135 is the purchase of a predetermined product, the display control unit 134 displays a screen for purchasing the product selected by the selection unit 135.

[0056] The information processing device 1 is configured to select recommended actions based on male function information and display a screen including the selected actions, thereby assisting the user U in engaging in activities to improve male function.

[0057] For users who do not show signs of decline in male sexual function, there is little need to encourage behavioral modification, and displaying the screen shown in Fig. 6 to such users may be annoying. Therefore, the information processing device 1 may be configured to display the screen shown in Fig. 6 to users who show signs of decline in male sexual function, and to display the screen shown in Fig. 5 to users who do not show signs of decline in male sexual function.

[0058] To achieve this, the display control unit 134 determines whether the level of male function indicated by the male function information is equal to or greater than a predetermined threshold. In this case, the storage unit 12 stores thresholds for each age. The selection unit 135 identifies a threshold corresponding to the user U, for example, based on the user's date of birth included in the questionnaire data. If the level of male function indicated by the male function information is less than the identified threshold, the selection unit 135 selects a recommended activity based on the level of male function of the user U indicated by the male function information. Then, the display control unit 134 displays a screen shown in FIG. 6 that includes information indicating the activity selected by the selection unit 135. Furthermore, if the level of male function of the user U indicated by the male function information is equal to or greater than the threshold, the display control unit 134 displays a screen shown in FIG. 5.

[0059] In order for the user to change their behavior based on the recommended activity, it is desirable for the information processing device 1 to recommend an activity that matches the user's interests or preferences. Therefore, the information processing device 1 may be configured so that the selection unit 135 selects a recommended activity based on questionnaire data answered by the user.

[0060] In order for the selection unit 135 to select an activity to recommend, the storage unit 12 may store interest information for each user registered in advance. As an example, the interest information includes answers to questions about the user's hobbies, interests, preferences, etc. The questionnaire data acquisition unit 132 acquires the interest information from the information terminal 2 used by the user U at a predetermined timing, such as when the user registers, and stores the acquired interest information in the storage unit 12.

[0061] The selection unit 135 acquires an activity selection model used to select an activity to recommend to the user. The activity selection model is machine-learned to output recommended activity content when male function information and interest information are input. The selection unit 135 may acquire the activity selection model from the storage unit 12 or from an external device (not shown).

[0062] The selection unit 135 inputs the male function information of the user U and the interest information indicating the answers to a questionnaire about the user's interests into the activity selection model, and selects the recommended activity content output by the activity selection model as the activity to be recommended to the user U. The display control unit 134 causes the information terminal 2 to display a screen including the activity selected by the selection unit 135.

[0063] By configuring the selection unit 135 to select an activity to be recommended based on the interest information of the user U, the information processing device 1 can select an activity that matches the interest or preference of the user U.

[0064] Incidentally, the activity that the user should engage in may be inferred based on biometric data or questionnaire data. Therefore, the information processing device 1 may be configured to select an activity to be recommended to the user based on the biometric data or questionnaire data of the user.

[0065] To achieve this, the selection unit 135 generates auxiliary information based on at least one of the biometric data and the questionnaire data. The auxiliary information is information included in the biometric data and the questionnaire data that is used to select a recommended activity. The auxiliary information includes, for example, items related to diet, exercise, or sleep among the items included in the acquired questionnaire data and biometric data. As an example, the storage unit 12 stores item information including items to be extracted as auxiliary information from the items included in the questionnaire data and the biometric data. The selection unit 135 generates auxiliary information including items indicated by the item information among the items included in the biometric data and the questionnaire data.

[0066] The selection unit 135 inputs the male sexual function information and auxiliary information of the user U into the activity selection model, and selects the recommended activity content output by the activity selection model as the activity to be recommended to the user U. In this case, the activity selection model is machine-trained so as to output the recommended activity content when the male sexual function information and auxiliary information are input.

[0067] The selection unit 135 is configured to select an activity to be recommended to the user based on the auxiliary information, so that the activity can be recommended while reflecting the acquired data of the user U.

[0068] [Training a trained model] Next, the learning process of the prediction model will be described. The learning unit 136 acquires training data in which questionnaire data answered by each of the multiple training users, biological data acquired from each of the multiple training users, and male sexual function information of each of the multiple training users are associated with each other. The learning unit 136 may acquire the training data from the information terminal 2 or from an external device (not shown).

[0069] There is a certain degree of correlation between biological data and male function information. For example, nocturnal erections occur during REM sleep, so there is a correlation between REM sleep duration and the number of nocturnal erections. Also, during REM sleep, the autonomic nervous system is active, causing irregular heartbeats, so there is a correlation between heart rate and the number of nocturnal erections.

[0070] There is a certain degree of correlation between questionnaire data and male function information. For example, male hormone levels decrease with age. As male hormone levels decrease, blood flow to the penis decreases, so there is a correlation between age and the number of erections in a given period, the duration of erections, and the size of the erect penis. There is also a correlation between diseases such as diabetes, cardiovascular disease, chronic kidney disease, neurological disease, mental illness, and sleep apnea syndrome and male function information. There is a correlation between trauma or surgery history and male function information. There is a correlation between exercise habits, smoking habits, and medication habits and male function information.

[0071] The learning unit 136 performs machine learning to learn a prediction model based on the acquired training data. The learning unit 136 may store the learned prediction model in the storage unit 12 or in an external device (not shown).

[0072] The learning of the activity selection model will be described. The learning unit 136 acquires training data that associates male function information, interest information, and information indicating activities performed by each of a plurality of training users with each other. The learning unit 136 trains the activity selection model by machine learning based on the acquired training data. The learning unit 136 may store the trained activity selection model in the storage unit 12 or in an external device (not shown). Note that, when the activity selection model selects an activity based on auxiliary information, the training data associates the male function information, auxiliary information, and activities performed by each of the plurality of training users with each other.

[0073] [Processing flow of information processing device 1] Fig. 7 is a flowchart showing the flow of processing in the information processing device 1. The flowchart shown in Fig. 7 starts when the display control unit 134 receives a request to display a screen.

[0074] The biometric data acquisition unit 131 acquires biometric data (S01). The questionnaire data acquisition unit 132 acquires questionnaire data (S02). The output unit 133 inputs the biometric data and the questionnaire data into the prediction model and causes the prediction model to output male sexual function information (S03).

[0075] The output unit 133 determines whether the value of the predetermined index indicated by the male function information is equal to or greater than a predetermined threshold (S04). If the value of the predetermined index indicated by the male function information is not equal to or greater than the predetermined threshold (NO in S04), the selection unit 135 selects an activity to recommend to the user U based on the value of the predetermined index indicated by the male function information (S05). The display control unit 134 displays a screen including the selected activity (S06). Then, the information processing device 1 ends the process.

[0076] If the value of the predetermined index indicated by the male function information is equal to or greater than the predetermined threshold value (YES in S04), the display control unit 134 displays a screen indicating the state of the male function information (S07), and the information processing device 1 ends the process.

[0077] [Effects of information processing device 1] As described above, the information processing device 1 is configured to output male function information based on biometric data and questionnaire data, thereby providing information that allows the user to understand the state of male sexual function.

[0078] <Modification> In the above embodiment, an example has been described in which the information processing device 1 is configured to output male function information based on biometric data and questionnaire data, but the information processing device 1 may also be configured to output male function information further based on the hormone levels of the user U.

[0079] The configuration of an information processing device 1A according to a modified example is shown in FIG. 8. The information processing device 1A further includes a hormone data acquisition unit 137. The hormone data acquisition unit 137 acquires hormone data. The hormone data indicates the level of hormone levels of the user U. The hormone data may be, for example, measurement results of the hormone levels of the user U, or predicted values ​​of the hormone levels of the user U output by a trained model configured to predict hormone levels. The hormone data acquisition unit 137 may acquire the hormone data from the information terminal 2, or may acquire the hormone data from an external device (not shown).

[0080] The prediction model is trained to receive biometric data, questionnaire data, and hormone data, and output male function information, such as the number of erections, erection duration, and penile stiffness during an erection, over a given period of time.

[0081] In this case, the learning unit 136 acquires training data in which questionnaire data answered by each of the multiple training users, biological data acquired from each of the multiple training users, hormone data for each of the multiple training users, and male function information for each of the multiple training users are associated with each other. The learning unit 136 performs machine learning on a prediction model based on the acquired training data.

[0082] The output unit 133 inputs the hormone data, biological data, and questionnaire data into the prediction model and outputs male function information about the user U. The information processing device 1A according to the modified example is configured to predict male function information further based on hormone data, thereby further improving the accuracy of prediction of the level of male function of the user U.

[0083] The present invention has been described above using embodiments, but the technical scope of the present invention is not limited to the scope described in the above embodiments, and various modifications and changes are possible within the scope of the gist of the present invention. For example, all or part of the device can be configured by functionally or physically distributing or integrating any unit. Furthermore, new embodiments resulting from any combination of multiple embodiments are also included in the embodiments of the present invention. The effects of the new embodiments resulting from the combination also have the effects of the original embodiments. [Explanation of symbols]

[0084] 1. Information processing equipment 2. Information terminal 11 Communications Department 12 Storage section 13 Control Unit 131 Biometric data acquisition unit 132 Survey Data Acquisition Department 133 Output section 134 Display control unit 135 Selection Section 136 Learning Department 137 Hormone Data Acquisition Department

Claims

1. a biometric data acquisition unit that acquires biometric data of a user to be predicted; a questionnaire data acquisition unit that acquires questionnaire data in which the prediction target user answers questions about their daily lives; an output unit that inputs the biometric data and the questionnaire data into a trained model that outputs male function information indicating the degree of male sexual function when the biometric data and the questionnaire data are input, and outputs the male function information for the user to be predicted; a selection unit that selects an activity to be recommended to the user to be predicted from a plurality of activities that have been predefined as activities that have the effect of improving male function, based on the degree of male function indicated by the male function information output by the output unit; and a display control unit that displays information indicating the activity selected by the selection unit on an information terminal used by the user to be predicted; and The selection unit inputs the male function information of the user to be predicted and auxiliary information including at least one of the biometric data and the questionnaire data into an activity selection model that has been machine-learned to output recommended activity content when the male function information and the auxiliary information are input, and selects the recommended activity content output by the activity selection model as the activity to be recommended to the user to be predicted.

2. a biometric data acquisition unit that acquires biometric data of a user to be predicted; a questionnaire data acquisition unit that acquires questionnaire data in which the prediction target user answers questions about their daily lives; an output unit that inputs the biometric data and the questionnaire data into a trained model that outputs male function information indicating the degree of male sexual function when the biometric data and the questionnaire data are input, and outputs the male function information for the user to be predicted; a selection unit that selects an activity to be recommended to the user to be predicted from a plurality of activities that have been predefined as activities that have the effect of improving male function, based on the degree of male function indicated by the male function information output by the output unit; and a display control unit that displays information indicating the activity selected by the selection unit on an information terminal used by the user to be predicted; and The selection unit inputs the male function information of the user to be predicted and interest information indicating the answers to a questionnaire regarding the interests of the user to be predicted into an activity selection model that has been machine-trained to output recommended activity content when the male function information and the interest information are input, and selects the recommended activity content output by the activity selection model as the activity to be recommended to the user to be predicted.

3. The trained model is a trained model that is machine-learned based on training data in which the questionnaire data answered by each of a plurality of training users, the biological data acquired from each of the plurality of training users, and male sexual function information of each of the plurality of training users are associated with each other.

3. The information processing device according to claim 1 or 2.

4. The biological data includes an index correlated with blood flow, oxygen supply, or activity of the user to be predicted.

3. The information processing device according to claim 1 or 2.

5. The biological data includes at least one of information indicating a sleeping state of the user to be predicted, information indicating a heart rate of the user to be predicted, information indicating a pulse wave of the user to be predicted, information indicating a maximum oxygen intake of the user to be predicted, and information indicating a number of steps of the user to be predicted.

3. The information processing device according to claim 1 or 2.

6. The questionnaire data includes answers to questions about the health condition of the user to be predicted.

3. The information processing device according to claim 1 or 2.

7. The questionnaire data includes at least one of drinking habits, exercise, sex life, and dietary habits during a predetermined period.

3. The information processing device according to claim 1 or 2.

8. The male function information indicates the strength of a physiological function correlated with the amount of male hormone.

3. The information processing device according to claim 1 or 2.

9. The male function information indicates at least one of the amount of male hormone, the number of erections in a predetermined period, the duration of erections, and the hardness of the penis during erection.

3. The information processing device according to claim 1 or 2.

10. a hormone data acquisition unit that acquires hormone data indicating the level of male hormones of the user to be predicted; The output unit further inputs the hormone data into the trained model and outputs the male function information for the user to be predicted. The information processing device according to claim 1 .

11. The computer executes a biometric data acquisition step of acquiring biometric data of a user to be predicted; a questionnaire data acquisition step of acquiring questionnaire data in which the user to be predicted answers questions about his / her daily life; an output step of inputting the biometric data and the questionnaire data into a trained model that outputs male function information indicating the degree of male sexual function when the biometric data and the questionnaire data are input, and outputting the male function information for the user to be predicted; selecting an activity to be recommended to the user to be predicted from among a plurality of activities predefined as activities having the effect of improving male function, based on the level of male function indicated by the output male function information; displaying information indicating the selected activity on an information terminal used by the user to be predicted; and In the selecting step, the male function information of the user to be predicted and auxiliary information including at least one of the biometric data and the questionnaire data are input into an activity selection model that has been machine-learned to output recommended activity content when the male function information and the auxiliary information are input, and the recommended activity content output by the activity selection model is selected as the activity to be recommended to the user to be predicted.

12. The computer executes a biometric data acquisition step of acquiring biometric data of a user to be predicted; a questionnaire data acquisition step of acquiring questionnaire data in which the user to be predicted answers questions about his / her daily life; an output step of inputting the biometric data and the questionnaire data into a trained model that outputs male function information indicating the degree of male sexual function when the biometric data and the questionnaire data are input, and outputting the male function information for the user to be predicted; selecting an activity to be recommended to the user to be predicted from among a plurality of activities predefined as activities having the effect of improving male function, based on the level of male function indicated by the output male function information; displaying information indicating the selected activity on an information terminal used by the user to be predicted; and In the selection step, the male function information of the user to be predicted and interest information indicating the responses to a questionnaire regarding the interests of the user to be predicted are input into an activity selection model that has been machine-trained to output recommended activity content when the male function information and the interest information are input, and the recommended activity content output by the activity selection model is selected as the activity to be recommended to the user to be predicted.

13. On the computer, a biometric data acquisition step of acquiring biometric data of a user to be predicted; a questionnaire data acquisition step of acquiring questionnaire data in which the user to be predicted answers questions about his / her daily life; an output step of inputting the biometric data and the questionnaire data into a trained model that outputs male function information indicating the degree of male sexual function when the biometric data and the questionnaire data are input, and outputting the male function information for the user to be predicted; selecting an activity to be recommended to the user to be predicted from among a plurality of activities predefined as activities having the effect of improving male function, based on the level of male function indicated by the output male function information; displaying information indicating the selected activity on an information terminal used by the user to be predicted; Execute In the selection step, the male function information of the user to be predicted and auxiliary information including at least one of the biometric data and the questionnaire data are input into an activity selection model that has been machine-learned to output recommended activity content when the male function information and the auxiliary information are input, and the recommended activity content output by the activity selection model is selected as the activity to be recommended to the user to be predicted.

14. On the computer, a biometric data acquisition step of acquiring biometric data of a user to be predicted; a questionnaire data acquisition step of acquiring questionnaire data in which the user to be predicted answers questions about his / her daily life; an output step of inputting the biometric data and the questionnaire data into a trained model that outputs male function information indicating the degree of male sexual function when the biometric data and the questionnaire data are input, and outputting the male function information for the user to be predicted; selecting an activity to be recommended to the user to be predicted from among a plurality of activities predefined as activities having the effect of improving male function, based on the level of male function indicated by the output male function information; displaying information indicating the selected activity on an information terminal used by the user to be predicted; Execute In the selection step, the male function information of the user to be predicted and interest information indicating the responses to a questionnaire regarding the interests of the user to be predicted are input into an activity selection model that has been machine-trained to output recommended activity content when the male function information and the interest information are input, and the recommended activity content output by the activity selection model is selected as the activity to be recommended to the user to be predicted.

Images