Information processing apparatus and information processing method

Abstract

An information processing device (1) according to one embodiment of the present invention is provided with: an acquisition unit (121) for acquiring personal data indicating attributes of a user; a classification unit (122) that uses the personal data to determine the classification of the user; a determination unit (123) that determines the timing at which service-related information corresponding to the relationship between services provided to the user is notified and classified; and a notification unit (124) that notifies the user of information relating to the service at the determined timing.

Description

Technical Field

[0001] The present invention relates to an information processing device and an information processing method for notifying information related to a service provided to a user. Background Art

[0002] Patent Document 1 describes a system that transmits suggestions related to life events such as end-of-life activities to an information terminal used by a user based on the number of years that have passed since the formation of the family, the ages of family members, and the like.

[0003] Prior art literature

[0004] Patent Literature

[0005] Patent Document 1: Japanese Patent Application Publication No. 2021-33643 Summary of the invention

[0006] Problems to be solved by the invention

[0007] Each user's situation, such as assets, lifestyle, and family composition, varies greatly. Therefore, even if end-of-life activities and other services are proposed based on the user's age, the timing of the proposed service may not be suitable for the user's situation, resulting in the failure to introduce the service.

[0008] Therefore, the present invention has been made in view of these aspects, and an object of the present invention is to be able to notify information related to a service provided to a user at a timing suitable for the user.

[0009] Technical means of solving problems

[0010] The first form of the information processing device of the present invention includes: an acquisition unit, which acquires personal data representing the attributes of a user; a classification unit, which uses the personal data to determine the classification of the user; a determination unit, which determines the timing of notifying information related to a service, wherein the service is provided to the user and the information related to the service corresponds to the relationship between the classification and the service; and a notification unit, which notifies the user of the information related to the service at the timing.

[0011] The acquisition unit may acquire a plurality of types of the personal data, and the classification unit may determine the classification in each of the plurality of services using one or more types of the personal data that are different between the plurality of services.

[0012] The classification unit may calculate an evaluation coefficient based on a value of the personal data, and determine the classification corresponding to the calculated evaluation coefficient.

[0013] The classification unit may calculate the evaluation coefficient associated with the values ​​of the personal data that differ between the plurality of services.

[0014] The determination unit may determine, as the timing, a value calculated by subtracting a correction value associated with the category from a reference value associated with the service.

[0015] The determination unit may advance the timing as the amount of assets of the user indicated by the personal data is greater, and delay the timing as the amount of assets is smaller.

[0016] The determination unit may set the timing for the user whose personal data is displayed as living alone to be earlier than that for the user whose personal data is displayed as living together.

[0017] The classification unit may determine the classification by using measurement data generated by measuring an activity of the user in addition to the personal data.

[0018] The classification unit may determine the classification corresponding to an amount of change in the measurement data within a predetermined period.

[0019] The notification unit may switch the notification recipient of the information related to the service between the user and a party associated with the user according to the plurality of services.

[0020] The notification unit may notify the user of information related to the service and determined based on the personal data.

[0021] The information processing device may further include a changing unit configured to change a rule for classifying the user by the classifying unit according to whether the user has utilized the service, after the notifying unit notifies the user of information related to the service.

[0022] The second form of the information processing method of the present invention includes the following steps executed by a processor: a step of acquiring personal data representing attributes of a user; a step of using the personal data to determine the classification of the user; a step of determining the timing of notifying information related to a service, wherein the service is provided to the user and the information related to the service corresponds to the relationship between the classification and the service; and a step of notifying the user of the information related to the service at the timing.

[0023] The third form of the information processing device of the present invention includes: an acquisition unit, which acquires personal data representing attributes of a user and measurement data generated by measuring the activities of the user; a classification unit, which uses the personal data to determine the classification of the user; and a notification unit, which notifies the user of information related to a service provided to the user when the relationship between the value of the measurement data and a reference value corresponding to the classification satisfies a specified condition.

[0024] The fourth form of the information processing method of the present invention includes the following steps executed by a processor: a step of acquiring personal data representing attributes of a user; a step of acquiring measurement data generated by measuring the activities of the user; a step of determining the classification of the user using the personal data; and a step of notifying the user of information related to a service provided to the user when the relationship between the value of the measurement data and a reference value corresponding to the classification satisfies a specified condition.

[0025] Effects of the Invention

[0026] According to the present invention, it is possible to provide information related to a service provided to a user at a timing suitable for the user. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] [ Figure 1 ] is a diagram showing an overview of the information processing system of the first embodiment.

[0028] [ Figure 2 ] is a block diagram of the information processing system of the first embodiment.

[0029] [ Figure 3 ] is a schematic diagram used to illustrate the method by which the classification unit determines the classification of a user.

[0030] [ Figure 4 ] is a schematic diagram of an exemplary first rule showing the relationship between the values ​​of personal data and measurement data and the evaluation coefficient.

[0031] [ Figure 5 ] is a schematic diagram of an exemplary first rule showing the relationship between the values ​​of personal data and measurement data and the evaluation coefficient.

[0032] [ Figure 6 ] is a schematic diagram used to illustrate the method by which the decision unit determines the notification timing.

[0033] [ Figure 7 ] is a schematic diagram used to illustrate the method of notifying service information by the notification unit.

[0034] [ Figure 8 ] is a diagram showing a flowchart of the information processing method executed by the information processing device of the first embodiment.

[0035] [ Fig. 9 ] is a schematic diagram used to illustrate the method by which the decision unit determines the notification timing.

[0036] [ Fig.10 ] is a diagram showing a flowchart of an information processing method executed by the information processing device of the second embodiment.

[0037] [ Fig.11] is a schematic diagram used to illustrate the method of notification by the notification unit. DETAILED DESCRIPTION

[0038] <First embodiment>

[0039] [Overview of Information Processing System S]

[0040] Figure 1 1 is a diagram showing an overview of an information processing system S according to the present embodiment. The information processing system S includes an information processing device 1, a user terminal 2, a stakeholder terminal 3, and a measurement device 4. The information processing system S may include a plurality of user terminals 2, a plurality of stakeholder terminals 3, and a plurality of measurement devices 4. The information processing system S may include other machines such as servers and terminals.

[0041] The information processing device 1 is a computer that provides service information related to the service provided to the user to the user or the user's related party. The information processing device 1 provides information related to, for example, a terminal activity service that supports the user's terminal activity (i.e., preparation for the last moment of life), a life support service that supports the user's life, and a post-death support service that supports the user's post-death procedures. The information processing device 1 performs wireless or wired communication with the user terminal 2, the related party terminal 3, and the measurement device 4.

[0042] The user terminal 2 is an information terminal such as a smartphone, a tablet terminal, or a personal computer used by a user. The user is a person who receives provision of information related to the service through the information processing system S. The user terminal 2 includes a display unit such as a liquid crystal display that displays information to the user, and an operation unit such as a touch panel that receives user operations.

[0043] The party terminal 3 is an information terminal such as a smart phone, a tablet terminal, or a personal computer used by the party of the user. The party is a person who is associated with the user, such as a family member, a guardian, etc. A user can be associated with multiple parties. The party terminal 3 includes a display unit such as a liquid crystal display that displays information to the party, and an operation unit such as a touch panel that receives the operation of the party.

[0044] The measuring device 4 is a device that generates measurement data by measuring the user's activities. The measuring device 4 is previously associated with the user of the measurement object. One user can be associated with multiple measuring devices 4. The measuring device 4 is, for example, a motion sensor installed in the user's living room, a bed sensor installed on the user's bed, a smart watch worn by the user, etc.

[0045] The following is an overview of the processing performed by the information processing system S of this embodiment. The information processing device 1 acquires personal data representing attributes of a user and measurement data (1) generated by measuring the user's activities. The personal data is, for example, data representing the user's date of birth, gender, place of birth, place of residence, family composition, etc. The measurement data is, for example, data representing the user's movements, sleep time or pulse, and the temperature, humidity or illumination of the environment including the user.

[0046] The information processing device 1 determines the category of the user using the personal data (2). The information processing device 1 determines the category of the user by applying a pre-stored category rule to one or more values ​​included in the personal data. In addition to using the personal data, the information processing device 1 may also use measurement data to determine the category of the user.

[0047] The information processing device 1 determines a notification timing corresponding to the relationship between the determined user classification and the service provided to the user (3). For example, the information processing device 1 makes the notification timing earlier when the amount of assets of the user indicated by the personal data is greater. Furthermore, the information processing device 1 makes the notification timing earlier for the user whose personal data indicates that he lives alone than for the user whose personal data indicates that he lives together.

[0048] The information processing device 1 notifies the user of the service information at the determined notification timing (4). The service information is, for example, information including a description of the service content or identification information (Uniform Resource Identifier (URI)) for using the service. The information processing device 1 sends the service information to the user terminal 2 via a network, for example. The information processing device 1 may notify the service information to a relevant party instead of the user, or notify the relevant party after notifying the user.

[0049] As described above, the information processing device 1 determines the user's category using the user's personal data and determines the notification timing based on the relationship between the determined category and the service to be notified. Thus, the information processing device 1 can notify the user of information related to the service provided to the user at a timing suitable for the user.

[0050] [Structure of Information Processing System S]

[0051] Figure 2 FIG. 4 is a block diagram of the information processing system S of this embodiment. Figure 2 In the figure, arrows indicate the flow of main data, and there may also be Figure 2 The flow of data other than those shown. Figure 2 In the example, each block does not represent the structure of a hardware (device) unit, but rather the structure of a functional unit. Figure 2The blocks shown may be installed in a single device, or may be installed in multiple devices. Data between blocks may be transferred via any mechanism such as a data bus, a network, or a portable storage medium.

[0052] The information processing device 1 includes a storage unit 11 and a control unit 12. The information processing device 1 may be formed by connecting two or more physically separate devices by wire or wirelessly. Furthermore, the information processing device 1 may include a cloud that is a collection of computer resources.

[0053] The storage unit 11 is a storage medium including a read-only memory (ROM), a random access memory (RAM), a hard disk drive, etc. The storage unit 11 stores in advance a program executed by the control unit 12. The storage unit 11 may be provided outside the information processing device 1, in which case data can be transferred between the storage unit 11 and the control unit 12 via a network.

[0054] The control unit 12 includes an acquisition unit 121, a classification unit 122, a determination unit 123, a notification unit 124, a recording unit 125, and a change unit 126. The control unit 12 is a processor such as a central processing unit (CPU), and functions as the acquisition unit 121, the classification unit 122, the determination unit 123, the notification unit 124, the recording unit 125, and the change unit 126 by executing a program stored in the storage unit 11. At least part of the functions of the control unit 12 can be realized by the control unit 12 executing the program executed via the network.

[0055] The following describes in detail the processing executed by the information processing device 1. In the information processing device 1, the acquisition unit 121 acquires personal data indicating attributes of the user. The acquisition unit 121 is not limited to acquiring one type (item) of personal data, and may acquire multiple types of personal data.

[0056] Personal data, for example, indicates at least one of the user's date of birth, gender, place of birth, place of residence, and family composition. Furthermore, personal data may also indicate at least one of the user's asset information, interests, hobbies, preferences, friendships, behavior history, and purchase history. Furthermore, personal data may also indicate daily life action (Activities of Daily Living, ADL) information as an indicator of actions that the user can perform. Furthermore, personal data may include information indicating whether the user is willing to accept the provision of a specific service. Personal data is not limited to the specific types of information shown here, and may also indicate other types of information corresponding to the user's attributes.

[0057] The acquisition unit 121 receives information (e.g., answers to a questionnaire) inputted from the user terminal 2 or the stakeholder terminal 3, and acquires the personal data represented by the received information. Furthermore, the acquisition unit 121 may also receive the personal data from other devices storing the user's personal data (e.g., a server that manages the user's login information).

[0058] The acquisition unit 121 acquires measurement data generated by measuring the user's activities. The measurement data, for example, represents at least one of the user's actions (number of steps, etc.), sleep time or pulse, and the temperature, humidity, or illumination of the environment including the user. The measurement data is not limited to the specific types of information shown here, and may also represent other types of information corresponding to the user's activities.

[0059] The measurement device 4 generates measurement data by measuring the user's activities. The measurement device 4 sends the measurement data to the information processing device 1 every time it generates the measurement data, or collects the measurement data of a predetermined period (1 hour, 1 day, etc.) and sends it to the information processing device 1 via the network. In the information processing device 1, the acquisition unit 121 receives the measurement data sent by the measurement device 4.

[0060] The classification unit 122 determines the classification of the user using the personal data and the measurement data acquired by the acquisition unit 121. The classification of the user is a grouping for determining the timing of notifying the user of service information. The classification unit 122 may determine the classification of the user using only the personal data without using the measurement data.

[0061] Figure 3 1 is a schematic diagram for explaining a method for determining a user's category by the classifying unit 122. The classifying unit 122 applies a classification rule stored in advance in the storage unit 11 to one or more values ​​included in the personal data and the measurement data, thereby determining the user's category.

[0062] The classification rules are rules defined for a plurality of services for determining the classification of users using personal data and measurement data. The classification rules include, for example, a first rule for calculating an evaluation coefficient from values ​​included in personal data and measurement data, and a second rule for determining the classification of users based on the calculated evaluation coefficient.

[0063] The classification unit 122 determines the classification of the user, for example, for end-of-life activities services, life support services, and post-death support services. End-of-life activities services are services that support end-of-life activities of the user, such as asset management services for managing the assets of the user, or will preparation services for preparing the will of the user. Life support services are services that support the life of the user, such as shopping services such as shopping agents and mail order sales, or services for accompanying to hospitals and stores. Post-death support services are services that support the post-death procedures of the user, such as affairs procedures services for public agencies and financial institutions, or expert agency services such as inheritance and asset arrangement.

[0064] The classification unit 122 is not limited to the specific services shown here, and may determine the classification of the user with respect to other services provided to the user.

[0065] The classification unit 122 obtains classification rules for each of the plurality of services pre-stored in the storage unit 11. The classification unit 122 calculates the evaluation coefficients ( Figure 3 The first rule is, for example, a table showing the relationship between the value of one or more types of personal data and measurement data that are different between multiple services and the evaluation coefficient.

[0066] Figure 4 (a) Figure 4 (b) Figure 5 is a schematic diagram of an exemplary first rule showing the relationship between the values ​​of personal data and measurement data and the evaluation coefficient. Figure 4 (a) Figure 4 (b) Figure 5 In the first rule illustrated, the value range of each item includes the lower limit but does not include the upper limit (e.g., 2 million yen to 5 million yen means more than 2 million yen and less than 5 million yen). The value range of each item may be defined so as to exclude the lower limit but include the upper limit.

[0067] Figure 4 (a) represents the first rule of asset management service. Figure 4In the example of (a), the first rule indicates the relationship between assets held, smoking history or smoking cessation history, and family composition and the evaluation coefficient. The classification unit 122 calculates the total value of the evaluation coefficients associated with the assets held, smoking history or smoking cessation history, and family composition in the various personal data acquired by the acquisition unit 121 according to the first rule as the evaluation coefficient in the asset management service. When the value of the personal data meets multiple items in the first rule (for example, in the case of a user who has been smoking for 10 years and has quit smoking for 5 years), the classification unit 122 can use the total value of the evaluation coefficients of the multiple items.

[0068] Figure 4 (b) represents the first rule of the will making service. Figure 4 In the example (b), the first rule indicates the relationship between the assets, family structure, and measurement data and the evaluation coefficient. The classification unit 122 calculates the total value of the evaluation coefficients associated with the assets and family structure in the various personal data acquired by the acquisition unit 121 and the evaluation coefficients associated with the measurement data acquired by the acquisition unit 121 as the evaluation coefficient in the will making service according to the first rule.

[0069] exist Figure 4 In the example of (b), the first rule includes the amount of change in the measured data. The classification unit 122 calculates, for example, the amount of change in the amount of activity (number of steps, etc.) and the amount of sleep at night shown in the measured data acquired by the acquisition unit 121, and uses an evaluation coefficient associated with the calculated amount of change. The amount of change is represented, for example, by the difference from the average value of a specified period in the past (such as 3 months).

[0070] Figure 5 Indicates the first rule of shopping service. Figure 5 In the example of , the first rule indicates the relationship between the assets held, the residential area, and the family composition and the evaluation coefficient. The classification unit 122 calculates the total value of the evaluation coefficients associated with the assets held, the residential area, and the family composition in the various personal data acquired by the acquisition unit 121 according to the first rule as the evaluation coefficient in the shopping service. When the value of the personal data meets multiple items in the first rule (for example, in the case of an elderly couple (without a car) and a user with no dependent relatives), the classification unit 122 can use the total value of the evaluation coefficients of the multiple items.

[0071] like Figure 4 (a) Figure 4 (b) and Figure 5As shown, the classification unit 122 can use different types of personal data between multiple services to determine the classification of users in each of the multiple services. In this way, the information processing device 1 can adjust the type of personal data used to determine the notification timing in each service, and can more appropriately determine the notification timing of each of the multiple services.

[0072] Furthermore, the classification unit 122 may calculate evaluation coefficients corresponding to the values ​​of personal data that are different between multiple services. That is, the evaluation coefficients associated with the same type of personal data may be different between multiple services. For example, Figure 4 The evaluation coefficients and Figure 5 The evaluation coefficients associated with the family structures used in the shopping services are shown to be different. Thus, the information processing device 1 can adjust the value of the evaluation coefficient associated with the value of the personal data in each service, and can more appropriately determine the notification timing of each of the plurality of services.

[0073] return Figure 3 The classification unit 122 determines the classification of the user corresponding to the evaluation coefficients calculated in the plurality of services according to the second rule in the obtained classification rules. The second rule is, for example, a table showing the relationship between the range of the evaluation coefficient and the correction value. One range of the evaluation coefficient in the second rule corresponds to one classification of the user.

[0074] The classifier 122 determines the range of evaluation coefficients calculated for each of the plurality of services as the classification of the user in the service in the second rule. Furthermore, the classifier 122 acquires the correction value associated with the classification of the user in each of the plurality of services in the second rule.

[0075] For example, the classification unit 122 calculates that the evaluation coefficient of the asset management service is 18 for a user who has assets of 10 million yen, lives alone (has no relatives), and has quit smoking for 8 years. Figure 3 In the second rule illustrated, a range of evaluation coefficients 15 to 19 including evaluation coefficient 18 is determined as a user classification, and a correction value 10 associated with the range is obtained. Furthermore, the classification unit 122 calculates the evaluation coefficient of the will-making service to be 13 for a user who has assets of 5 million yen, lives alone (has an heir), and whose activity level has decreased by 10%. The classification unit 122 Figure 3 In the second rule illustrated, a range of evaluation coefficients 10 to 14 including evaluation coefficient 13 is determined as a user classification, and a correction value 8 associated with the range is acquired.

[0076] Furthermore, the classification unit 122 calculates the evaluation coefficient of the shopping service to be 23 for a user who has assets of 15 million yen, needs a car to go to the store, is an elderly couple (no car), and has no dependent relatives. Figure 3 In the second rule illustrated, a range of evaluation coefficients greater than or equal to 20, including the evaluation coefficient 23, is determined as a user classification, and a correction value 15 associated with the range is acquired.

[0077] The determination unit 123 determines a notification timing corresponding to the relationship between the classification of the user determined by the classification unit 122 and the service provided to the user. Figure 6 This is a schematic diagram for explaining a method in which the decision unit 123 decides the notification timing.

[0078] The determination unit 123 acquires reference values ​​for each of the plurality of services pre-stored in the storage unit 11. The reference value is, for example, the age of the user as a reference for the notification timing of the notification service. The reference value may be the same for the plurality of services or may be different for the plurality of services.

[0079] The determination unit 123 deducts the correction value ( Figure 6 The age at which notification is required is calculated based on Y1, Y2, and Y3. Figure 6 The decision unit 123 may calculate the date as the notification timing by subtracting the correction value from the base date which is a base value associated with each of the plurality of services instead of the base age.

[0080] exist Figure 4 (a) Figure 4 (b) Figure 5 In the example shown, the decision unit 123 advances the notification timing when the amount of the user's assets (held assets) indicated by the personal data is greater, and delays the notification timing when the amount of the assets is less. Figure 4 (a) Figure 4 (b) Figure 5 In the illustrated example, the decision unit 123 makes the notification timing for the user whose personal data indicates that he / she lives alone or in an elderly couple household earlier than that for the user whose personal data indicates that he / she does not live alone or in an elderly couple household.

[0081] Moreover, in Figure 4 In the example shown in (b), the decision unit 123 sets the timing for the user whose measurement data shows a decrease in activity amount or nighttime sleep time earlier than that for the user whose measurement data shows a decrease in activity amount or nighttime sleep time.

[0082] The determination unit 123 is not limited to the specific criteria shown here, and may determine the notification timing based on other criteria using personal data and measurement data.

[0083] The notification unit 124 notifies the user of service information related to the service at the notification timing determined for each of the plurality of services by the determination unit 123. The notification unit 124 may also notify the service information to the user's related parties on a user-by-user basis.

[0084] Figure 7 This is a schematic diagram for explaining a method of notifying service information by the notification unit 124. The notification unit 124 sends the service information to the user terminal 2 or the interested party terminal 3 using e-mail, a messaging service, a social networking service (SNS), etc., on the condition that the notification timing determined by the determination unit 123 is reached (for example, the user reaches the age as the notification timing).

[0085] Furthermore, the notification unit 124 may output information (e.g., the content of the service information and the address of the user or the related party) for printing the service information on paper media and delivering it to the user or the related party, in addition to or instead of sending the service information via the network. In this case, the paper media printed with the service information is delivered to the user or the related party. The notification unit 124 is not limited to sending or delivering paper media via the network, and may also notify the user or the related party of the service information by other methods.

[0086] The service information is, for example, information including a description of the service content or a URI for utilizing the service. Furthermore, the notification unit 124 may determine the content of the service information based on at least one of the personal data or the measurement data, and notify the service information including the determined content. In this case, the notification unit 124 notifies the service information including different types of asset management services based on the amount of assets held indicated by the personal data, for example. Thus, the information processing device 1 can notify the service information of the content suitable for the user based on the content of the personal data or the measurement data.

[0087] Furthermore, the notification unit 124 can switch the notification targets of the service information between the user and the stakeholders according to the plurality of services. In this case, the notification unit 124 obtains information indicating the notification targets of the plurality of services stored in advance in the storage unit 11, and switches the notification targets of the plurality of services according to the obtained information. For example, the notification unit 124 only notifies the user of the service information of the life support service, and notifies both the user and the stakeholders of the service information of the end-of-life activity service. Thus, the information processing device 1 can notify the service information to the notification targets suitable for each service.

[0088] After the notification unit 124 notifies the user or the interested party of the service information, the acquisition unit 121 acquires the usage data related to whether the user or the interested party has used the service displayed in the notified service information. The usage data is, for example, data showing whether the service has been used, the service has been applied for, the service has been imported, the content of the input for the service, etc. The acquisition unit 121 receives the usage history of the service from the user terminal 2 or the interested party terminal 3, for example, and acquires the usage data based on the received usage history. The acquisition unit 121 may receive the usage data from other devices storing the usage data (for example, a server providing the service).

[0089] The recording unit 125 can use the blockchain to record the usage data acquired by the acquisition unit 121. The recording unit 125 generates a non-fungible token (NFT) associated with the usage data and the user or related party by performing a known token generation process on the usage data (a will made using a will making service, etc.). The recording unit 125 uses the blockchain to record the generated NFT on a storage medium connected to the network. As a result, the recording unit 125 can use the NFT that is difficult to tamper with to associate the usage data with the user or related party, so that the relationship between the usage data and the user or related party can be recorded more accurately.

[0090] After the notification unit 124 notifies the user or the related party of the service information, the change unit 126 can change the classification rule used by the classification unit 122 to classify the user based on the usage data acquired by the acquisition unit 121. For example, the change unit 126 performs a known machine learning process on whether the user or the related party shown by the multiple usage data acquired by the acquisition unit 121 in the past has used the service, and the evaluation coefficient used when notifying the service information of the usage data, thereby determining the evaluation coefficient included in the classification rule in a manner that increases the number of users or related parties who use the service. The change unit 126 is not limited to the specific method shown here, and other methods that can change the evaluation coefficient according to the usage data can also be used. The change unit 126 stores the changed classification rule in the storage unit 11.

[0091] Thus, the information processing device 1 can adjust the evaluation coefficient according to whether the user or the interested party has utilized the service after notifying the service information, thereby determining a more effective notification timing.

[0092] [Flow of information processing method]

[0093] Figure 81 is a diagram showing a flowchart of an information processing method executed by the information processing device 1 of the present embodiment. The acquisition unit 121 acquires personal data representing attributes of a user and measurement data generated by measuring the user's activities (S11). The acquisition unit 121 receives personal data from, for example, the user terminal 2, the interested party terminal 3, or other devices. Furthermore, the acquisition unit 121 receives measurement data from, for example, the measurement device 4 or other devices.

[0094] The classifier 122 acquires the classification rules for each of the plurality of services pre-stored in the storage unit 11. The classifier 122 calculates the evaluation coefficients for each of the plurality of services to be notified based on the personal data and the measurement data acquired by the acquisition unit 121 according to the acquired classification rules (S12). The classifier 122 determines the classification of the user corresponding to the evaluation coefficients calculated for each of the plurality of services according to the acquired classification rules (S13).

[0095] The decision unit 123 decides a notification timing corresponding to the relationship between the user classification determined by the classification unit 122 and the service provided to the user (S14). The decision unit 123 obtains, for example, a reference age as a reference value for each of the plurality of services pre-stored in the storage unit 11. The decision unit 123 calculates the age as the notification timing by subtracting the correction value associated with the user classification in the service from the reference age as the reference value associated with each of the plurality of services.

[0096] The notification unit 124 notifies the user of service information related to the service at the notification timing determined by the decision unit 123 for each of the plurality of services (S15). The notification unit 124 sends the service information to the user terminal 2 or the interested party terminal 3 using, for example, an e-mail, a messaging service, an SNS, etc., on the condition that the notification timing determined by the decision unit 123 is reached. Furthermore, the notification unit 124 may also output information for printing the service information on a paper medium and delivering it to the user or the interested party to a printing device.

[0097] [Effects of Embodiment]

[0098] In the information processing system S of this embodiment, the information processing device 1 determines the user's category using the user's personal data, and determines the notification timing based on the relationship between the determined category and the service to be notified. Thus, the information processing device 1 can notify the user of information related to the service provided to the user at a timing suitable for the user.

[0099] <Second embodiment>

[0100] As a method different from the first embodiment, the information processing device 1 of this embodiment determines the notification timing by comparing the reference value associated with the user's category with the user's measurement data. Hereinafter, the differences from the first embodiment will be mainly described. Fig. 9 This is a schematic diagram for explaining a method in which the decision unit 123 decides the notification timing.

[0101] The classification unit 122 determines the classification of the user using the personal data acquired by the acquisition unit 121. In addition to using the personal data, the classification unit 122 may also use the measurement data to determine the classification of the user. The classification unit 122 acquires classification rules for each of the plurality of services pre-stored in the storage unit 11. In the present embodiment, the classification rules include, for example, a first rule for calculating an evaluation coefficient based on the personal data and the values ​​included in the measurement data, and a second rule for determining the classification of the user based on the calculated evaluation coefficient.

[0102] The classification unit 122 calculates the evaluation coefficient of each of the plurality of services to be notified based on the personal data and the measurement data acquired by the acquisition unit 121 according to the first rule among the acquired classification rules. The first rule is, for example, Figure 4 (a) Figure 4 (b) and Figure 5 The table shown is a table showing the relationship between the value of one or more types of personal data and measurement data that are different between multiple services and the evaluation coefficient.

[0103] The classification unit 122 determines the classification of the user corresponding to the evaluation coefficient calculated in each of the plurality of services according to the second rule in the acquired classification rules. The second rule is, for example, a table showing the relationship between the range of the evaluation coefficient and the reference value. The reference value is a threshold value compared with the measurement data, and is represented by the amount of decrease in activity (number of steps, etc.), the amount of sleep at night, the amount of decrease in the value of the body function (pulse), etc.

[0104] The range of one evaluation coefficient in the second rule corresponds to a category of one user. The classifier 122 determines the range of evaluation coefficients calculated in each of the plurality of services as the category of the user in the service in the second rule. Furthermore, the classifier 122 obtains the reference value ( Fig. 9 X'1, X'2, X'3).

[0105] The decision unit 123 compares the value of the measurement data acquired by the acquisition unit 121 with the reference value associated with the category of the user determined by the classification unit 122, and determines whether the value of the measurement data and the reference value satisfy a predetermined condition. For example, the decision unit 123 determines the timing when the value of the measurement data acquired by the acquisition unit 121 exceeds the reference value associated with the category of the user determined by the classification unit 122 as the notification timing. For example, the decision unit 123 determines the timing when the amount of activity decreases exceeds the reference value, the time of nighttime sleep exceeds the reference value, or the amount of physical function decreases exceeds the reference value as the notification timing.

[0106] The notification unit 124 notifies the user of service information when the relationship between the value of the measurement data acquired by the acquisition unit 121 and the reference value corresponding to the classification of the user determined by the classification unit 122 satisfies a predetermined condition. For example, the notification unit 124 transmits service information related to the service to the user terminal 2 at the notification timing determined by the determination unit 123 for each of the plurality of services. The notification unit 124 may also notify the user's related party of the service information on a user-by-user basis.

[0107] Fig.10 1 is a diagram showing a flowchart of an information processing method executed by the information processing device 1 of the present embodiment. The acquisition unit 121 acquires personal data representing attributes of a user and measurement data generated by measuring the user's activities (S21). The acquisition unit 121 receives personal data from, for example, the user terminal 2, the interested party terminal 3, or other devices. Furthermore, the acquisition unit 121 receives measurement data from, for example, the measurement device 4 or other devices.

[0108] The classifier 122 acquires the classification rules for each of the plurality of services pre-stored in the storage unit 11. The classifier 122 calculates the evaluation coefficients for each of the plurality of services to be notified based on the personal data and the measurement data acquired by the acquisition unit 121 according to the acquired classification rules (S22). The classifier 122 determines the classification of the user corresponding to the evaluation coefficients calculated for each of the plurality of services according to the acquired classification rules (S23).

[0109] The classifying unit 122 obtains the reference value associated with the classification of the user in each of the plurality of services (S24). The determining unit 123 compares the value of the measurement data obtained by the obtaining unit 121 with the reference value associated with the classification of the user determined by the classifying unit 122, thereby determining the notification timing (S25). For example, the determining unit 123 determines the timing when the value of the measurement data obtained by the obtaining unit 121 exceeds the reference value associated with the classification of the user determined by the classifying unit 122 as the notification timing.

[0110] The notification unit 124 notifies the user of service information related to the service when the relationship between the value of the measurement data acquired by the acquisition unit 121 and the reference value corresponding to the classification of the user determined by the classification unit 122 satisfies a prescribed condition (for example, the notification timing determined by the determination unit 123 for each of the plurality of services) (S26). The notification unit 124 sends the service information to the user terminal 2 or the interested party terminal 3 using, for example, an e-mail, a messaging service, an SNS, etc., on the condition that the notification timing determined by the determination unit 123 is reached. Furthermore, the notification unit 124 may output information for printing the service information on a paper medium and delivering it to the user or the interested party to a printing device.

[0111] As described above, the information processing device 1 of this embodiment uses the user's personal data to determine the user's category, and compares the reference value associated with the determined category with the user's measurement data to determine the notification timing. As a result, the information processing device 1 can notify the user of information related to the service provided to the user at a timing suitable for the user.

[0112] <Third Embodiment>

[0113] The information processing device 1 of this embodiment indicates the possibility that the user has died based on the measurement data, and notifies the user of service information of a post-death support service, for example. The notification in this embodiment can be performed alone or simultaneously with the notification in the first embodiment and the second embodiment. The following mainly describes the parts that are different from the first embodiment.

[0114] Fig.11 This is a schematic diagram for explaining a method of notification by the notification unit 124. When the measurement data acquired by the acquisition unit 121 has not changed for a predetermined period (e.g., 3 days) or more, or when the acquisition unit 121 cannot acquire the measurement data for a predetermined period or more, the decision unit 123 sends survival confirmation information to the user terminal 2 or the stakeholder terminal 3 to confirm whether the user is alive.

[0115] When the user terminal 2 or the party terminal 3 that has received the existence confirmation information has performed an operation indicating that the user is alive, the notification unit 124 ends the process without transmitting the service information.

[0116] When the user terminal 2 or the interested party terminal 3 that has received the survival confirmation information performs an operation indicating that the user is not alive, or when no operation indicating that the user is alive is performed within a predetermined period (e.g., 3 days), the notification unit 124 notifies the interested party of the service information of the post-death support service. The notification unit 124 transmits the service information of the post-death support service to the interested party terminal 3 using, for example, an e-mail, a messaging service, an SNS, etc. Furthermore, the notification unit 124 may output information for printing the service information on a paper medium and delivering it to the interested party to a printing device.

[0117] As described above, the information processing device 1 of this embodiment automatically notifies the interested party of the service information of the post-death support service on the condition that the measurement data indicates that there is a possibility that the user has died, thereby supporting the actions of the interested party after the user's death.

[0118] 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 embodiments, and various deformations and changes can be made within the scope of its gist. For example, all or part of the device can be functionally or physically dispersed and integrated in any unit. Moreover, new embodiments generated by any combination of multiple embodiments are also included in the embodiments of the present invention. The effect of the new embodiment generated by the combination has the effect of the original embodiment.

[0119] The processor of the information processing device 1 becomes Figure 8 , Fig.10 The information processing method shown in FIG. 1 includes the main body of each step. That is, the processor of the information processing device 1 reads the data for execution from the storage unit. Figure 8 , Fig.10 The information processing method shown in the program is executed, and the various parts of the information processing system are controlled to perform Figure 8 , Fig.10 The information processing method shown. Figure 8 , Fig.10 Some of the steps included in the information processing method shown may be omitted, the order of the steps may be changed, or a plurality of steps may be performed simultaneously.

[0120] Explanation of symbols

[0121] S: Information Processing System

[0122] 1: Information processing device

[0123] 11: Storage Department

[0124] 12: Control Department

[0125] 121: Acquisition Department

[0126] 122: Classification Department

[0127] 123: Decision Department

[0128] 124: Notification Department

[0129] 125: Records Department

[0130] 126: Change Department

[0131] 2: User terminal

[0132] 3: Stakeholder terminal

[0133] 4: Measurement device

Claims

1. An information processing device, comprising: an acquisition unit that acquires personal data indicating attributes of a user; a classification unit, which uses the personal data to determine the classification of the user; a decision unit that determines a timing for notifying information related to a service, wherein the service is provided to the user, and the information related to the service corresponds to a relationship between the category and the service; and The notification unit notifies the user of information related to the service at the timing.

2. The information processing device according to claim 1, wherein the acquisition unit acquires a plurality of types of personal data, The classification unit determines the classification in each of the plurality of services using one or more types of the personal data that are different between the plurality of services. 3 . The information processing device according to claim 1 , wherein the classification unit calculates an evaluation coefficient based on a value of the personal data, and determines the classification corresponding to the calculated evaluation coefficient. 4 . The information processing device according to claim 3 , wherein the classification unit calculates the evaluation coefficient associated with the value of the personal data, which is different among the plurality of services. 5 . The information processing device according to claim 1 , wherein the determination unit determines, as the timing, a value calculated by subtracting a correction value associated with the category from a reference value associated with the service. 6 . The information processing device according to claim 1 , wherein the determination unit advances the timing as the amount of assets of the user indicated by the personal data is greater, and delays the timing as the amount of assets is less. 7 . The information processing device according to claim 1 , wherein the determination unit makes the timing for the user whose personal data is displayed as living alone earlier than that for the user whose personal data is displayed as living together. 8 . The information processing device according to claim 1 , wherein the classification unit determines the classification using measurement data generated by measuring an activity of the user in addition to the personal data. 9 . The information processing device according to claim 8 , wherein the classification unit determines the classification corresponding to an amount of change in the measurement data within a predetermined period.

10. The information processing device according to claim 1 or 2, wherein the notification unit switches the notification recipient of the information related to the service between the user and a related party associated with the user, respectively, according to the plurality of services. 11 . The information processing device according to claim 1 , wherein the notification unit notifies the user of information related to the service and determined based on the personal data.

12. The information processing device according to claim 1 or 2, further comprising: The changing unit changes the rule for classifying the user by the classifying unit according to whether the user has used the service, after the notifying unit notifies the user of the information related to the service.

13. An information processing method, comprising the following steps performed by a processor: The step of obtaining personal data representing attributes of a user; a step of using the personal data to determine the classification of the user; a step of determining a timing for notifying information related to a service, wherein the service is provided to the user, and the information related to the service corresponds to a relationship between the category and the service; and The step of notifying the user of information related to the service at the timing.

14. An information processing device, comprising: an acquisition unit that acquires personal data indicating attributes of a user and measurement data generated by measuring an activity of the user; a classification unit, which uses the personal data to determine the classification of the user; and The notification unit notifies the user of information related to a service provided to the user when a relationship between the value of the measurement data and a reference value corresponding to the category satisfies a predetermined condition.

15. An information processing method, comprising the following steps performed by a processor: The step of obtaining personal data representing attributes of a user; A step of acquiring measurement data generated by measuring the user's activities; the steps of using the personal data to determine the category of the user; and A step of notifying the user of information related to a service provided to the user when a relationship between the value of the measurement data and a reference value corresponding to the category satisfies a predetermined condition.

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