JP7217862B2 - Virtual currency management system - Google Patents

Description

The present invention relates to a virtual currency management system that estimates a well-being value as the mental activity level of a user participating in an event and manages virtual currency.

In recent years, research on "well-being" has been advanced. "Well-being" means that a person is in good physical, mental and social condition, not just being healthy (not sick).

Conventionally, techniques for estimating a person's emotional state have been developed. For example, Patent Literature 1 discloses a technique of extracting a pitch frequency or the like from a voice uttered by a person and estimating the emotional state of the person from the correspondence relationship between the pitch frequency and the emotional state.

WO2006/132159

The techniques described above were simply aimed at estimating an individual's emotions. For this reason, it has not been possible for individual users to increase the degree of well-being (well-being value) in relation to society with the above-described technology alone. On the other hand, it would be preferable if the above-described technology could be applied to a specific social network consisting of a plurality of users so that the users could enhance their own well-being by engaging in social activities within the network.

The present inventors are studying a system that enhances well-being using virtual currency. In this system, virtual currency is given to the user when the well-being value increases, and the user can purchase goods and services using the virtual currency. According to such a system, it can be expected that the well-being value of the user will increase as a result of each user acting in such a way that the virtual currency is awarded. However, studies on such a system have not generally been made, and the actual situation is that sufficient knowledge necessary for realizing such a system has not been obtained.

The present invention has been made to solve the above problems, and an object of the present invention is to provide a virtual currency management system that enhances the well-being value of users.

In order to achieve the above object, the present invention provides a system for estimating a well-being value as the mental activity level of a user participating in an event, and for managing the virtual currency held by the user, the system comprising: A terminal device for transmitting/receiving data generated based on operation to/from a communication line, an analysis device for generating analysis result data representing the user's mental state based on the user's driving operation of the vehicle, and an analysis result data based on the analysis result data. a management device that estimates a user's well-being value and grants virtual currency to the user according to the well-being value; the analysis device is mounted in the vehicle; received from the terminal device according to predetermined information indicating the relationship between the evaluation data input by the user to the terminal device and transmitted from the terminal device, and the first well-being estimated value A first well-being estimate is calculated based on the evaluation data, and the analysis result data generated during the period when the user is using the vehicle after the transmission of the evaluation data and the reference data indicating the driving characteristics of the user. and calculating a second well-being estimate based on the difference between the calculated first A well-being value is calculated based on the first well-being estimate and the second well -being estimate.

According to this configuration, when the user drives the vehicle and moves, the analysis result data can be generated by the analysis device provided in the vehicle. An analysis device located in the vehicle can generate analysis result data that more accurately represents the mental state of the user than during activities outside the vehicle. As a result, it becomes possible to appropriately give the virtual currency to the user according to the mental state of the user.

Preferably, in the present invention, the analysis device generates analysis result data based on the user's driving operation of the vehicle.

A change in the user's mental state may appear as a change in the user's driving operation of the vehicle. According to the above configuration, by generating the analysis result data based on the driving operation of the vehicle by the user, it becomes possible to more appropriately give the virtual currency to the user according to the mental state of the user.

Preferably, in the present invention, the analysis device generates the analysis result data based on the user's biological data obtained while the user is driving the vehicle.

A change in the user's mental state may appear as a change in biometric data such as heart rate and skin resistance. According to the above configuration, by generating the analysis result data based on such biometric data, it becomes possible to more appropriately provide the virtual currency to the user according to the mental state of the user.

ADVANTAGE OF THE INVENTION According to this invention, the virtual currency management system which raises a user's well-being value can be provided.

1 is a conceptual diagram of a life active system according to an embodiment of the invention; FIG. 1 is a configuration diagram of a life active system according to an embodiment of the present invention; FIG. 4 is a graph showing a change in WB value over time; It is a graph which shows a time change of a user's virtual currency balance.

BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. First, a schematic configuration of the embodiment will be described with reference to FIGS. 1 and 2. FIG. FIG. 1 is a conceptual diagram of a life active system S according to an embodiment. The life active system S is an example of a virtual currency management system. FIG. 2 is a configuration diagram of the life active system S. As shown in FIG. In the following, "life active" may be referred to as "LA" and "well-being" as "WB".

In this embodiment, "well-being" means that the user negates his/her own negative feelings, acquires a sense of self-actualization, and acquires a sense of self-affirmation in relation to society (others). Self-esteem involves feeling needed and useful in society.

In addition, “life active” means a state in which the user continuously engages in activities (WB activities) that increase the level of well-being (WB value) through interaction with society through the car life (ownership and driving of a vehicle). do. Then, it can be defined as "well-aging" that a user lives in a life-active state and accumulates WB activities or WB experiences in his or her life. By continuously accumulating WB experience, the user can reach a higher WB state.

In addition, the LA system of this embodiment is configured to give economic value (virtual currency) to users who participate in events and perform WB activities. This virtual currency can be exchanged with legal currency at a predetermined exchange rate. Therefore, by participating in the event, the user can increase the WB value in physical, mental and social aspects, and is given an incentive to participate in the event in terms of economy.

As shown in FIG. 1, the life active system S (LA system S) of this embodiment is a system for increasing the WB value of user A through participation in event E by user A. As shown in FIG. Events E are, for example, travel tours, nature tours, mystery tours, volunteer activities, and the like. Event E is composed of activities J1 to J3.

The event provider B plans and implements the event E with the cooperation of the cooperator C in terms of personnel and money. Collaborators C are event venue vendors, local people, funders, and the like. User A pays various expenses related to event E (participation fee, gasoline fee, meal fee, etc.). Event provider B and cooperator C can recover operating costs from user A's expenditure. In the LA system of this embodiment, a community D is formed by A, B, and C via an event E, and various events are repeatedly held by circulating funds in the community D. there is

Next, the configuration of the LA system S of this embodiment will be described with reference to FIG. The LA system S includes an analysis device 10 mounted on the vehicle 1 of the user A, a portable terminal 20 of the user A, and a management device 30 of the event provider B, which are configured to be capable of wireless communication. there is The analysis device 10 and the portable terminal 20 can be wirelessly communicated with the management device 30 via the communication line (Internet line) 3 . The analysis device 10 and the mobile terminal 20 can communicate with each other using short-range wireless communication technology (for example, Bluetooth (registered trademark)).

The analysis device 10 is a computer device including a processor 10a, a memory 10b, a communication circuit 10c, etc., and performs processing (including multiple analysis processing) by the processor 10a executing various programs stored in the memory 10b. is configured as The analysis device 10 is connected to various sensor devices mounted on the vehicle 1, and the processor 10a receives measurement data from the sensor devices and stores the measurement data in the memory 10b. The processor 10a also transmits processed data obtained by processing the measurement data to the management device 30 via the communication circuit 10c.

The sensor device includes a heart rate measuring device 11 attached to a steering wheel, a positioning device 12, a camera 13, a steering sensor 14, and an accelerator sensor 15. The heartbeat measuring device 11 measures the heartbeat variability (electrocardiographic waveform) of the driver (user A) and outputs it as biological data (heartbeat data). The positioning device 12 acquires the vehicle position using satellite positioning using a GPS (Global Positioning System) or autonomous positioning using a gyro sensor or the like. The camera 13 captures an image of the user A and outputs captured image data. The analysis device 10 performs image analysis on this image data to obtain analysis result data such as user A's pupil diameter, eye movement, upper body behavior including the position and orientation of the head and shoulders, and user A's facial expression. can be generated. A steering sensor 14 and an accelerator sensor 15 respectively detect steering operation and accelerator operation by the driver (user A) and output driving operation data.

As the biosensor device, instead of or in addition to the heartbeat measuring device 11, a resistance measuring device may be used. The resistance measuring device measures the skin resistance of user A and outputs it as biological data (resistance data). Since the contact resistance of the skin changes depending on the perspiration state, the resistance data represents the perspiration state of the user A.

In a tense state in which a person feels mental stress, heart rate fluctuations occur, perspiration is promoted, the pupil diameter increases, and the magnitude of eye movement increases. In addition, when a person is in a tense state, the behavior of the upper body, including the position and orientation of the head and shoulders, increases when the vehicle accelerates, decelerates, or turns. In addition, when a person is in a tense state, changes appear in the facial expression (displacement distance of a specific part, etc.).

Therefore, the analysis device 10 can estimate the user's mental state (strain) by analyzing the biometric data described above. For example, the analysis device 10 measures the magnitude of biological data (frequency obtained by frequency analysis of heart rate variability, skin resistance, pupil diameter, eye movement, behavior of the upper body, movement distance of a specific part of the face). Based on this, one can estimate the degree of tension (eg, ranging from 0 lowest to 10 highest). User A is judged to be mentally in a good state of activity when he/she has a medium and optimal tension level (for example, tension level=5).

The analysis device 10 stores the analysis result data of the mental state estimated based on the biological data and the vehicle position data in the memory 10b at any time, and transmits these data together with the vehicle identification data for specifying the vehicle 1 to the management device 30. do.

The portable terminal 20 is a portable computer device including a processor 20a, a memory 20b, a communication circuit 20c, an input/output device 20d, a display device 20e, an acceleration sensor 20f, and the like. The mobile terminal 20 is an example of a terminal device. The mobile terminal 20 is configured to perform various processes by the processor 20a executing various programs stored in the memory 20b. In this embodiment, the mobile terminal 20 is configured by a smart phone, and has a voice communication function and a data communication function that the smart phone originally has.

The mobile terminal 20 also functions as various sensor terminal devices by executing various applications (programs) installed in the memory 20b. The processor 20a also transmits and receives various data to and from the management device 30 via the communication circuit 20c. The various types of data include analysis result data transmitted by the mobile terminal 20, commands transmitted by the management device 30, and the like.

The input/output device 20d includes a keyboard or touch sensor type input device, a microphone, a speaker, and the like. Note that the mobile terminal 20 may be a mobile information terminal such as a PDA, or a dedicated small computer device.

The mobile terminal 20 functions as a communication device using communication-related applications. The mobile terminal 20 accesses a website via a phone call function, an e-mail function, an SNS communication function (e.g., Facebook (registered trademark), Instagram (registered trademark), LINE (registered trademark), etc.), and the Internet line 3. It has a browser function for

In addition, the mobile terminal 20 functions as a voice analysis device using a voice analysis application. A voice analysis device is an example of an analysis device. The portable terminal 20 analyzes the voice uttered by the user A for a predetermined period (for example, 2 to 6 seconds) to estimate the mental state of the user. The voice is an example of biometric data.

Human speech includes voluntary elements that we can control and involuntary elements that are related to emotions in the brain. In other words, the vocal cords are connected to the emotional part of the brain via the vagus nerve, and emotions in the brain affect the movement of the vocal cords. Emotions in the brain therefore affect speech parameters (fundamental frequency, sound pressure, pitch frequency, frequency distribution, velocity, intensity variation, etc.).

In this embodiment, the mobile terminal 20 establishes a correlation between predetermined voice parameters (in this example, magnitude of the fundamental frequency, intensity at the fundamental frequency) and each emotion (in this example, joy, sadness, peace of mind, and anger). is stored in the memory 20b. The mobile terminal 20 is configured to estimate the proportion of each emotion by analyzing the voice based on this table. The sum of the proportions of each emotion is constant (eg, 100%).

Further, the portable terminal 20 compares a predetermined voice parameter (pitch frequency in this example) with a predetermined value, thereby estimating the degree of excitement (degree of excitement: for example, a range of minimum 0 to maximum 10). The intensity of each emotion is estimated by multiplying the intensity by the estimated proportion of each emotion. Note that the pitch frequency is the repetition frequency of the same frequency component. The greater the pitch frequency than the predetermined value, the greater the degree of excitement.

The healthier the body and mind, the greater the intensity of positive emotions (joy, relief) than negative emotions (sadness, anger). For example, the mobile terminal 20 sums the numerical values obtained by multiplying the coefficient set for each emotion by the estimated strength of each emotion, and calculates the degree of mental activity (or health) based on this total value. is configured as For example, coefficients for positive emotions can be positive values (>0) and coefficients for negative emotions can be negative values (<0). The degree of mental health can be expressed, for example, in a range from 0 (lowest) to 100 (highest).

The mobile terminal 20 as a speech analysis device always picks up the speech uttered by the user A via a microphone. In addition, the mobile terminal 20 intermittently (every predetermined time (for example, every 10 minutes) and in response to a command from the management device 30) asks the user to utter a question (for example, "What is the activity?"). How was it?") is emitted from the speaker. Then, the mobile terminal 20 picks up the voice uttered by the user A in response to this question. The portable terminal 20 analyzes the acquired voice, generates analysis result data representing the mental state of the user A, and stores the analysis result data together with the generation time in the memory 20b. Note that the function as the voice analysis device may be provided in the analysis device 10 of the vehicle 1 in addition to the portable terminal 20 . Note that such an application for voice analysis is provided by PST Corporation under the product name of "MIMOSYS (registered trademark)", for example.

In addition, the mobile terminal 20 functions as a positioning device using a positioning application. The mobile terminal 20 acquires the current position of the mobile terminal 20 based on communication with surrounding communication stations or based on satellite positioning using GPS, and records it in the memory 20b as current position data. The mobile terminal 20 transmits current location data to the management device 30 at a predetermined time. The management device 30 can generate action log data by tracking the movement trajectory of the user A based on the current position data.

In addition, the mobile terminal 20 functions as a communication analysis device using a communication analysis application. The mobile terminal 20 analyzes the text data transmitted by the user A using the e-mail function, the SNS communication function, and the browser function described above by natural language processing (text mining). In addition, the mobile terminal 20 may similarly analyze responses from friends and the like to the data transmitted by User A (for example, replies to emails, evaluations such as "Like", posted comments, etc.). The mobile terminal 20 transmits the analysis result to the management device 30 .

Based on an expression table that is part of the application, the mobile terminal 20, which is a communication analysis device, extracts specific words (“pleasant,” ”, “Tough”, etc.). Furthermore, the portable terminal 20 analyzes the mental state of the user from the frequency of appearance of these words, etc., and generates analysis result data based on the analysis results. The expression table stores a large number of expressions corresponding to each of emotions. Therefore, the analysis result data includes information on the ratio of the user's four emotions of "joy", "sadness", "comfort", and "anger" at the time of transmission and the intensity of each. Note that the mobile terminal 20 may analyze the mental state from the image data transmitted or posted by the user.

In addition, the mobile terminal 20 functions as a behavior measurement device using a behavior measurement application. Based on the measurement data received from the acceleration sensor 20f, the mobile terminal 20 calculates acceleration and jerk when the user moves while holding the mobile terminal 20. FIG. The obtained acceleration and jerk are recorded in the memory 20b as behavior data. The mobile terminal 20 transmits behavior data to the management device 30 at a predetermined time.

In this embodiment, the mobile terminal 20 is used as the wearable sensor terminal, but other sensor devices may be additionally used. For example, a wristband-type heart rate measuring device may be used. In this case, the heartbeat measuring device is configured to perform data communication with the mobile terminal 20 and the analysis device 10 by short-range wireless communication.

The management device 30 is a computer device (server device) including a processor 30a, a memory 30b, a communication circuit 30c, an input/output device 30d, a display device 30e, and the like. , is configured to perform various processes. In addition to programs, the memory 30b stores event data of various events provided by event providers. The event data includes information on the schedule, venue, content, participants, etc. of the event. The management device 30 receives data from the analysis devices 10 and mobile terminals 20 of the participants (user A). The management device 30 also transmits predetermined information and commands to the analysis device 10 and the mobile terminal 20 based on the received data and event data.

The memory 30b of the management device 30 also stores user data of the user A (and event participants). The user data includes user A's personal data (age, gender, address, vehicle identification information, mobile terminal information, etc.), action log data, various data (positioning data, emotion data, current location data, behavior data, estimated WB value, etc.). ), virtual currency data, etc. The virtual currency data represents the amount (amount) of the virtual currency that the user A possesses.

Next, with reference to FIG. 3A, behaviors of users participating in event E (for example, one-day local experience tour) and temporal changes in WB values will be described. FIG. 3A is a graph showing changes in WB values over time. The periods shown in FIG. 3A are a preparation period P1 (for example, three weeks) before user A participates in event E, an action period P2 (for example, one day) during which user A participates in event E, and event E including a cultivation period P3 (for example, 4 weeks) and a fixation period P4 (for example, 3 months).

The event E is planned to increase the WB value of the user A by having various experiences through interaction with friends and people with whom the user A comes in contact. User A uses vehicle 1 to move to the venue and enjoy activities (contents) at event E. After the event E ends, the user A uses the vehicle 1 to go home. When the venue is spread over a plurality of places, the user A uses the vehicle 1 to move between the venues.

Generally, in daily life, user A is in a state where it is difficult for user A to feel WB (that is, the WB value is low). User A receives information on event E during preparation period P1 (time t0). The preparation period P1 is a period during which the user A prepares to participate in an extraordinary event E that is different from daily life.

When user A comes into contact with information on event E and desires to participate in event E is fostered within user A, this mood acts to counteract user A's self-negative feelings. Therefore, the WB value of user A increases. User A transmits participation application data from portable terminal 20 to management device 30 in a state where the WB value is higher than usual (time t1).

During the preparation period P1, the user A can inform his friends of his participation in the event E by using the communication function (for example, SNS communication function, e-mail function) of the mobile terminal 20 . That is, user A can express his expectations for event E using text data or image data, and transmit this expression via the Internet line 3 . As a result, user A's sense of anticipation grows, and a sense of self-actualization (having a virtual experience of event E) is satisfied by notifying his friend. Thus, in the preparation period P1, the WB value of user A is maintained higher than usual. At this time, the mobile terminal 20 (communication analysis device) analyzes the data and response contents transmitted by the user A, and transmits analysis result data to the management device 30 . Also, the portable terminal 20 (speech analysis device) analyzes the speech of the user A at predetermined time intervals and based on commands from the management device 30, and transmits analysis result data. The management device 30 can use the received analysis result data to estimate the WB value.

During the action period P2, when the user A drives the vehicle 1 and heads for the event venue (time t2), self-negative feelings are further canceled and the user's sense of self-fulfillment is gradually satisfied. WB value increases. The management device 30 can receive analysis result data generated by the analysis device 10 of the vehicle 1 and the portable terminal 20 (speech analysis device) during driving, and use the received analysis result data to estimate the WB value.

After arriving at the venue, user A experiences three main activities (contents) J1, J2 and J3 that make up event E (time t3, t4 and t5). In each activity (for example, making local specialties, experiencing harvesting of agricultural products, etc.), user A develops a sense of self-actualization and self-affirmation, and the WB value takes a maximum value. When one activity ends, the maximized WB value gradually decreases over time, but the WB value maximizes again in the next activity.

Also, during the action period P2, the management device 30 transmits individual question data to the mobile terminal 20 of the user A after each activity based on the event data (and user A's current location data if necessary). . This individual question data is for investigating user A's degree of satisfaction with each activity J1, J2, and J3. User A operates the portable terminal 20 to answer a plurality of questions included in the individual question data, thereby creating individual evaluation data, and can return the individual evaluation data (time t3, t4, t5). ). Individual evaluation data is an example of evaluation data.

A plurality of questions are set so that it is possible to estimate from the individual evaluation data how much sense of achievement, self-actualization, self-affirmation, etc. the user A has obtained through each activity. Specifically, the questions may be, for example, "Would you recommend this activity to others?", "Would you like to participate in this activity again?", "Do you feel satisfied after experiencing this activity?" Was it helpful to people in the field?"

The individual evaluation data includes the user's subjective satisfaction evaluation level for each question. User A can, for example, select a subjective evaluation level from a plurality of options for each question. Choices are, for example, "very good (100 points)", "good (75 points)", "fair (50 points)", "bad (25 points)", "very bad (0 points)". . Alternatively, the evaluation format may be a format in which the user selects a level of evaluation from 100 points (“very good”) to 0 points (“very bad”).

When the management device 30 receives the individual evaluation data from the mobile terminal 20 of the user A, the management device 30 can use the individual evaluation data to estimate the WB value. For example, it is estimated that the higher the average score of evaluation levels for a plurality of questions, the higher the WB value. The individual evaluation data is the degree of user A's subjective evaluation of the activity.

In addition, in accordance with the transmission of the individual question data (for example, within a predetermined time after the transmission of the individual question data, within a predetermined time after receiving the individual evaluation information from the user A, etc.), the management device 30 sends the mobile terminal 20 may send commands for speech analysis. Upon receiving this command, the mobile terminal 20 asks the user A a question, acquires the voice data of the user, analyzes the voice data, and estimates the mental state. The mobile terminal 20 returns analysis result data to the management device 30 . The management device 30 can use the received analysis result data to estimate the WB value.

User A can also transmit report data using the communication function (particularly, the SNS communication function) of the mobile terminal 20 and share impressions of each activity with friends. That is, user A can express the excitement and satisfaction obtained in each activity using text data and image data, and transmit this expression as report data via the Internet line 3 . Due to such transmission behavior, the WB value of user A is maintained in a high state without being attenuated. A friend or the like of user A can use the communication function of their mobile terminal or the like to access the report data and give a "like" evaluation. A "like" rating is an example of a positive rating. Also, in the same manner as described above, the management device 30 can receive analysis result data for transmission data from the mobile terminal 20 (communication analysis device) and use this analysis result data for estimating the WB value.

In the action period P2, even when the user A drives the vehicle 1 and moves between activities, the management device 30 receives the analysis result data from the biosensor device of the vehicle 1 and the portable terminal 20 (speech analysis device). , the received analysis result data can be used to estimate the WB value.

After the event E ends, the user A drives the vehicle 1 to go home (time t6) and returns to his daily life. While returning home, user A can immerse himself in a sense of self-fulfillment and self-affirmation while looking back on memories of event E. The management device 30 can receive analysis result data generated by various biosensor devices of the vehicle 1 and the mobile terminal 20 (voice analysis device) during driving, and use the received analysis result data to estimate the WB value. .

In the cultivating period P3, the user A has a vivid memory of the event E, and the user A still feels that the event E is familiar. In the cultivating period P3, the acquired positive emotions (sense of self-actualization, self-affirmation) are sorted out within the user A, and a feeling of gratitude toward the people with whom the user met at the event E is cultivated. However, the WB value, which has reached a high level due to participation in event E, gradually decreases over time during the cultivating period P3.

In the cultivating period P3, the management device 30 transmits general question data to the portable terminal 20 of the user A after a first predetermined period has passed (for example, several days to one week) after the end of the event E (time t7). . This overall question data is for surveying user A's overall level of satisfaction with event E. FIG. The user A operates the mobile terminal 20 to perform an input operation to answer a plurality of questions included in the overall question data in the same manner as the individual question data described above, thereby creating overall evaluation data and returning the overall evaluation data. (time t7).

The format of the general question data is the same as the format of the individual question data described above. Questions may include, for example, "Would you recommend this event to others?", "Would you like to participate in this event again?", "Do you feel satisfied with your experience of this event?" is set as When receiving the overall evaluation data from user A's mobile terminal 20, the management device 30 can use the overall evaluation data to estimate the WB value. Overall evaluation data is the degree of user A's subjective evaluation of event E. FIG. In addition, the management device 30 may transmit a command for voice analysis in the case of the general question data as well as the individual question data. In response to this command, the mobile terminal 20 can execute voice analysis processing and return analysis result data to the management device 30 .

Further, in the cultivating period P3, the management device 30 transmits follow-up data to the portable terminal 20 of the user A after a second predetermined period (for example, one week to several weeks) after the end of the event E ( time t8). Follow-up data is sent to give User A an opportunity to thank event participants. User A can respond to the follow-up data by operating the portable terminal 20 to reply with gratitude transmission data expressing gratitude. The people involved in the event are the staff managing the event E, volunteer staff, local residents, etc., and are stored in the memory 30b of the management device 30 in advance.

User A can create thank-you communication data by replying to a plurality of reply items included in the follow-up data. Response items include, for example, items specifying the target person to be grateful for (place, time, gender, keyword, etc.), items specifying the degree of gratitude ("high", "medium", "low", etc.). . The answer items may include an item in which the user A can enter a comment, and an item specifying the transfer amount of the virtual currency, which will be described later. Therefore, the thank-you communication data includes the target person to be thanked, the degree of gratitude to the target person, and the like.

As a result, even if the user A does not know the contact information of these target persons (for example, he was hesitant to ask for the contact information), he can easily express his gratitude to the target persons during the cultivation period P3. It can help organize positive emotions. User A may also gain a greater sense of self-fulfillment and self-affirmation. If there is no target person to be thanked, user A does not have to send the thank-you message data.

Further, in the fixation period P4, the management device 30 transmits the stored fixation data to the portable terminal 20 of the user A after a predetermined period of time (for example, 2 to 3 months) after the end of the event E (time t9). ). This memory fixation data is a photo album in this embodiment, and is provided from event provider B to user A in order to fix memories of event E in user A's memory. The management device 30 takes in the photo data taken by the event provider B during the holding of the event E and the photo data provided to the management device 30 by the event participants, and automatically edits these photo data using a photo album generation application. A photo album can be generated by

Management device 30 publishes the generated photo album data on the website. User A can use the browser function of mobile terminal 20 to access the photo album on the website via Internet line 3 . Note that the management device 30 may directly transmit the photo album data to the mobile terminal 20 .

By browsing the photo album, user A recalls event E and reconfirms event E as a past event. In this way, in the fixing period P4, the event E is positioned as a past memory within the user A, and the memory of the event E is fixed in the user A's memory. Also in this fixing period P4, the WB value gradually decreases with time. However, the positive emotions obtained through event E are accumulated in user A's subconsciousness or deep psyche.

User A can transmit confirmation data to the management device 30 using the mobile terminal 20 when browsing the photo album. User A can return confirmation data to the management device 30 by selecting a confirmation button on the photo album viewing page when the user A feels that the event E in which he participated is favorable.

When the confirmation data is returned, User A feels that Event E in which he participated is favorable, and is expected to act as an "ambassador" informing his friends and associates of the event and encouraging their participation in the future. Further, the confirmation data may be constructed and transmitted by the user answering a plurality of questions similar to the questions of the general question data in the stored fixed data.

Next, data and an estimation method for estimating the WB value in this embodiment will be described. In this embodiment, a plurality of types of data from low-order data to high-order data shown below can be used for WB value estimation.

First, in order to estimate the WB value, analysis result data (low-level data) provided by the analysis device 10 can be used. This analysis result data is obtained by measuring user A's heart rate variability, skin resistance, etc., and represents user A's objective mental state. This analysis result data is constantly or intermittently generated and transmitted while the user A is driving the vehicle 1 . The measurement time required to obtain meaningful information from this analysis result data is several seconds to several minutes. In addition, the heart rate variability of user A may change in a few seconds to an hour. Therefore, the meaningful period (effective period) of the obtained information is considered to be several minutes to several tens of minutes during or including the time of measurement.

The analysis device 10 generates and transmits analysis result data representing the mental state of the user A based on the biometric data. Also, the management device 30 can estimate the WB value for each measurement time using the received analysis result data (this WB value may be referred to as "WB _B estimated value"). The WB _B estimate, for example, ranges from 0 (lowest WB value) to 100 (highest WB value). For example, the WB _B estimate is the highest (WB value=100) at the medium optimal tension (tension=5), and the WB _B estimate decreases as the distance from the optimum value increases. Note that this WB _B estimated value is low-order information that is not directly linked to user A's emotions (such as emotions). Therefore, this WB _B estimate may be unreliable.

Also, analysis result data (intermediate data) provided by the portable terminal 20 as a speech analysis device can be used to estimate the WB value. This analysis result data is generated by analyzing user A's voice (biological data) interactively uttered between the voice analysis device and user A, and is directly linked to user A's emotions. . The sound collection time of user A's voice required to generate this analysis result data is about several seconds. Also, user A's emotions can typically change in a few minutes to an hour. Therefore, the effective period of the obtained information is considered to be about several tens of minutes from the time the voice is picked up.

The portable terminal 20 transmits the analysis result data directly related to the user A's emotion as described above. The management device 30 can estimate the WB value for each measurement time using the received analysis result data (this WB value may be referred to as "WB _V estimated value"). The WB _V estimate, for example, ranges from 0 to 100, as does the WB _B estimate. The management device 30 can employ, for example, the degree of mental health (0 to 100) as the WB _V estimated value. Note that the WB _V estimated value estimated from voice analysis is an objective estimated value that is directly linked to user A's emotions, and is generally highly reliable. However, for example, in a long-distance walk event, although a great sense of accomplishment is obtained at the goal point, it is painful during walking between the point points. Therefore, in these types of events, the WB _V estimate may be underestimated as a whole.

Further, analysis result data (intermediate data) generated by the mobile terminal 20 as a communication analysis device can be used to estimate the WB value. However, since this analysis result data is obtained by analyzing user A's subjective transmission data, it may not necessarily represent the user's objective mental state (the transmission data may differ from user A's emotions). case, etc.). Note that when User A transmits a comment or the like using the SNS communication function, a friend or User A may further transmit a comment in response to this transmission. Thus, if one transmission from user A is to be analyzed, including subsequent related transmissions, the analysis may need to continue for several minutes to several days. Therefore, the validity period of the obtained information may span the period of communication between the user and the friend.

As described above, the portable terminal 20 outputs the mental state as analysis result data through the communication analysis process. Also, the management device 30 can estimate the WB value for each analysis period using the received analysis result data (this WB value may be referred to as "WB _C estimated value"). The WB _C estimate, for example, ranges from 0 to 100, as does the WB _B estimate. For four emotions, for example, the management device 30 can multiply the ratio of each emotion, the intensity of each emotion, and the coefficient set for each emotion, and adopt the total value of these as the WB _C estimated value. .

Also, in order to estimate the WB value, user A's evaluation data (higher-order data) for each activity or event can be used. Obtaining evaluation data requires the lapse of the implementation period of each activity or event. Since the evaluation data is based on the user's subjectivity, it is less objective than data obtained using a biosensor device or a voice analysis device. However, by analyzing the evaluation data, it is possible to infer a higher mental state of user A for each activity or event E.

The management device 30 receives the evaluation data from the mobile terminal 20 and estimates the WB value based on the total value of each question (this WB value may be referred to as "WB _E estimated value"). For example, the ratio (p/m×100) of the total score p of all questions (maximum score of m for all questions) to the full score can be used as the WB _E estimate.

Also, action log data (higher order data) can be used to estimate the WB value. The management device 30 can estimate the sense of accomplishment of the user A by analyzing how many of the various activities scheduled for the event E the user A has experienced from the action log data of the user A. can. In order to obtain the action log data, it is necessary to pass the implementation period of the event.

At the end of event E, the management device 30 determines how many activities the user A has participated in out of the plurality of activities prepared for the event E from the action log. For example, in event E, if user A participates in m activities out of n activities prepared, the participation ratio (n/m×100) can be used as the WB value (this WB value is " WB _L estimated value”). For example, in an event such as a long-distance walk event in which the goal is to complete the race, a method of estimating the _WBL estimated value using action log data is effective.

Furthermore, in order to estimate the WB value, event participation history data obtained based on user A's action log data (higher-order data) may be considered. That is, the event participation history data represents the number of times the user A has participated in events over the past several years, the frequency of participation, the types of events he has participated in, and the like. By analyzing event participation history data in this way, it is possible to estimate a higher-level (social) mental state of user A with respect to event participation activities over several months to several years. By repeatedly participating in the event, the user A repeatedly feels a sense of self-fulfillment, which unconsciously accumulates. Such repetitive experiences of self-actualization over several years are considered to have a favorable influence on User A's personality. The management device 30 acquires the event participation history data of the user A, and, for example, multiplies the number of times of participation by a coefficient to calculate a cumulative WB value (this WB value may be referred to as a "WB _R estimated value"). .

Further, in order to estimate the WB value, the driving operation of the vehicle 1 by the user A may be considered. In this case, the analysis device 10 analyzes the driving operation of the user A based on the driving operation data received from the steering sensor 14 and the accelerator sensor 15, and generates analysis result data. The driving operation data used at this time is within a predetermined period (for example, within two hours) after the mobile terminal 20 has transmitted the individual evaluation data, and is received by the analysis device 10 while the user A is driving. be. Such driving operation data is considered to reflect changes in the mental state of user A who has experienced each activity. The management device 30 receives the analysis result data generated based on the driving operation data in this way from the analysis device 10, and calculates the WB value based on the analysis result data (this WB value is referred to as "WB _D estimation value”).

The management device 30 calculates the WB _D estimated value based on the difference between the analysis result data generated based on the driving operation data and the reference data. The reference data indicates driving characteristics of the user A, and is acquired in advance by the learning function of the analysis device 10 .

As described above, in principle, the management device 30 uses each single data (low-level data only, intermediate data only, high-level data only) to obtain WB values (WB _B estimated value, WB _V estimated value , WB _C estimate, WB _E estimate, WB _L estimate, WB _R estimate, WB _D estimate) can be estimated.

These WB values differ in the time length of the target period depending on the data used. For example, the WB _B estimate, the WB _V estimate, and the WB _D estimate are targeted every few seconds to several minutes, the WB _C estimate is every transmission, and the WB _E estimate is every evaluation ( ie, per activity or per event), per event for the WB _L estimate, and months to years for the WB _R estimate.

In addition, the management device 30 can estimate the WB value more in line with the actual situation by combining a plurality of types of data with different time lengths of these target periods. That is, by assuring the certainty of higher-order data with lower-order data, conversely, by assuring the certainty of lower-order data with higher-order data, the guaranteed data It can be used for WB value estimation.

In the present embodiment, in estimating the WB value, the WB _B estimated value, the WB _C estimated value, the WB _E estimated value, the WB _L estimated value, the WB _R estimated value, and the WB _D estimated value are used as the WB _V estimated value as an emotion index. is configured to correct for For example, the WB value can be calculated by the following formula.
WB value = (coefficient k _V × WB _V estimated value)
+Σ (coefficient kn x WBn estimated value x WB _V estimated value) + Σ (adjusted value Mn)
(However, n = B, C, E, L, R, D)

That is, the value obtained by multiplying the WB _V estimated value by the coefficient k _V , the value obtained by multiplying each WBn estimated value by the coefficient kn and the WB _V estimated value, and the adjustment value Mn corresponding to each WBn estimated value. A WB value is calculated by totaling. Note that it is not necessary to use all estimates other than the WB _V estimate. Therefore, the values of the coefficients k _V and kn and the value of the adjustment value Mn can be set differently according to the combination of types of data used.

In this embodiment, when multiple types of data are used, multiple types of data obtained during periods corresponding to each other are used. For example, when estimating the WB value for activity J1 of event E, multiple types of data measured during the implementation period of activity J1 (around time t3) are used. When estimating the WB value for the entire event E, in principle, data measured during the implementation period of the event E (time t2 to t6) is used. In addition, as the data to be used, an average value during a period or a value at a specific time can be adopted.

Next, with reference to FIG. 3B, the virtual currency given to the user A by the management device 30 in relation to the event E will be described. FIG. 3B is a graph showing changes over time in the user's virtual currency balance. In the LA system S of the present embodiment, a predetermined amount of virtual currency (the unit is "P") is given to the user A according to the estimated WB value, triggered by the satisfaction of the predetermined condition of the user A. is configured as

The management device 30 sets one of two types of attributes (attenuation type, unchanging type) to the virtual currency. Attributes of virtual currency can be changed between decaying and immutable. Decay-type virtual currency has a time-decay property (for example, it halves in 10 weeks) in which the amount decreases with the passage of time. The decay rate may be linear, stepwise, or exponential with time. On the other hand, immutable virtual currency does not change in amount over time.

Also, the target that can be used differs between decaying type virtual currency and immutable type virtual currency. Specifically, decaying virtual currency can only be used to participate in events held after granting, while immutable virtual currency can be used not only for participating in the event, but also for pre-specified It can also be used to purchase purchased goods and services and convert them into fiat currency.

As described above, in the preparation period P1, when the user A transmits the participation application data from the mobile terminal 20 to the management device 30 (time t1), the WB value of the user A is higher than usual due to the heightened expectations for the event. is also expected to increase. The management device 30 gives virtual currency to the user A in accordance with the increase in the WB value. Specifically, when receiving the participation application data from the mobile terminal 20, the management device 30 adds a predetermined amount (for example, 20P) to the virtual currency data included in the user A's user data. This predetermined amount may be a fixed value, or may be a value corresponding to the participation fee paid by the user A to the event provider B. FIG.

Also, during the action period P2, for each of the activities J1 to J3, the management device 30 estimates the WB value based on the individual evaluation data received from the user A (time t3, t4, t5), Accordingly, a predetermined amount of virtual currency is given to user A. For example, if the estimated WB value exceeds a predetermined value, a predetermined amount (specified amount) of virtual currency is given to user A. In FIG. 3B, a predetermined amount of virtual currency (for example, 40P, 50P, and 30P, respectively) is given to activities J1, J2, and J3.

Note that the virtual currency given during the preparation period P1 and the action period P2 is of the decay type. Therefore, attenuation at a predetermined attenuation rate starts from the time of application or after a predetermined non-attenuation period (for example, several days to several weeks) from the time of application.

Also, in the cultivating period P3, for the event E, the management device 30 receives the overall evaluation data received from the user A (and, if necessary, the analysis result data based on the user's voice at the time of replying the overall evaluation data, WB value is estimated based on various analysis result data).

Further, in the cultivating period P3, in response to the follow-up data, when the user A uses the mobile terminal 20 to reply with the thanks transmission information (time t8), the virtual transfer amount F of the predetermined transfer amount F from the user A to the people involved in the event E currency is transferred. That is, in the virtual currency data stored in user A's user data, the management device 30 converts the declining virtual currency of the transfer amount F into the same amount of immutable virtual currency by changing the attribute. Then, the management device 30 subtracts the immutable virtual currency of the transfer amount F from the user data of the user A, and adds it to the virtual currency data of the user data of the persons involved in the event E as immutable virtual currency.

The event provider B receives the transfer amount F of immutable virtual currency on behalf of the event participants. The event provider B can send a comment of thanks from the user A together with the immutable virtual currency of the transfer amount F to one or more target persons specified in the reply of the follow-up information. In this way, by being involved in the operation of event E, event-related people can receive gratitude and obtain economic value. This provides an incentive for event participants to further improve Event E from a WB perspective.

The transfer amount F may be a specified value, or may be a value selected by the user A in the answer item regarding the transfer amount included in the follow-up information. If the transfer amount F is a specified value, for example, the specified value may be set according to the WB value estimated in the overall question data (the higher the estimated WB value, the higher the specified value), A predetermined percentage (for example, 30%) of the virtual currency granted to user A in relation to event E may be set as the prescribed value. Further, the virtual currency of the transfer amount F does not have to be subtracted from the virtual currency data of the user A at the time of transfer to the event provider B.

Further, in the fixation period P4, when user A returns confirmation data using portable terminal 20 in response to the stored fixation data (time t9), management device 30 A predetermined amount G of currency is converted into immutable virtual currency. In this embodiment, the management device 30 removes a predetermined percentage (0 to 100%) of the depreciating virtual currency that was granted at the event E and that existed in the user's virtual currency data when the confirmation data was received. Convert to modified virtual currency. This predetermined amount G of immutable virtual currency is a reward for user A becoming an "ambassador".

Note that the predetermined percentage may be a fixed value (eg, 50%) or a variable value. When the predetermined ratio is a variable value, for example, the variable value may be set according to the size of the WB value estimated based on the overall evaluation information. For example, the larger the estimated WB value, the larger the variable value is set.

Next, the operation of the system of this embodiment will be described.
According to this configuration, when the user A drives the vehicle 1 to move, the analysis result data can be generated by the analysis device 10 provided in the vehicle. The analysis device provided in the vehicle 1 makes it possible to generate analysis result data that more accurately represents the mental state of the user A than during activities outside the vehicle 1 . As a result, it becomes possible to appropriately give the virtual currency to the user A according to the mental state of the user A.

The analysis device 10 also generates analysis result data based on the driving operation of the vehicle 1 by the user A. FIG.

A change in the mental state of the user A may appear as a change in the driving operation of the vehicle 1 by the user A. According to the above configuration, by generating the analysis result data based on the driving operation of the vehicle 1 by the user A, it is possible to more appropriately give the virtual currency to the user A according to the mental state of the user A. Become.

Further, the analysis device 10 generates analysis result data based on the biological data of the user A acquired while the user A is driving the vehicle 1 .

A change in the mental state of user A may appear as a change in biometric data such as heart rate and skin resistance. According to the above configuration, by generating the analysis result data based on such biometric data, it becomes possible to more appropriately provide the virtual currency to the user A according to the mental state of the user A.

S Life Active System (virtual currency management system)
10 analyzer 20 portable terminal (terminal device)
30 management device

Claims (3)

A system that estimates a well-being value as the mental activity level of a user participating in an event and manages the virtual currency held by the user,
a terminal device that transmits and receives data generated based on a user's input operation to and from a communication line;
an analysis device that generates analysis result data representing the user's mental state based on the user's driving operation of the vehicle ;
a management device that estimates a user's well-being value based on the analysis result data and grants virtual currency to the user according to the well-being value;
The analysis device is mounted in a vehicle,
The management device
According to predetermined information indicating the relationship between evaluation data that represents the user's subjective evaluation of the event and is input by the user into the terminal device and transmitted from the terminal device, and a first well-being estimated value , calculating the first well-being estimate based on the evaluation data received from the terminal device ;
Second well-being estimation based on the difference between the analysis result data generated during the period in which the user is using the vehicle after the transmission of the evaluation data and the reference data indicating the user's driving characteristics Calculate the value of
to the first estimated well-being value and the second estimated well-being value calculated according to a predetermined formula indicating the relationship between the first estimated well-being value and the second estimated well-being value and the well-being value; a virtual currency management system that calculates the well-being value based on 2. The virtual currency management system according to claim 1, wherein said analysis device generates said analysis result data based on a user's driving operation of said vehicle. 2. The virtual currency management system according to claim 1, wherein said analysis device generates said analysis result data based on user biometric data obtained while said vehicle is being driven by said user.

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