Information processing device and information processing method

Abstract

An information processing device 1 according to one embodiment of the present invention has: an acquisition unit 121 that acquires personal data indicating attributes of a user; a classification unit 122 that determines classification of the user using the personal data; a determination unit 123 for determining a timing of providing notification of information that corresponds to a relationship between the classification and a service to be provided to the user and that pertains to the service; and a notification unit 124 that notifies, at the timing, the user of the information that pertains to the service.

Description

Information processing device and information processing method

[0001] The present invention relates to an information processing device and an information processing method for notifying a user of information relating to a service provided to the user.

[0002] Patent Document 1 describes a system that sends suggestions regarding life events such as end-of-life planning to an information terminal used by a user based on the number of years since the family was formed, the ages of family members, etc.

[0003] Japanese Patent Application Laid-Open No. 2021-33643

[0004] Each user's situation, such as assets, lifestyle habits, and family structure, varies greatly from person to person. Therefore, even if services such as end-of-life planning are proposed based on the user's age, the timing of the proposal may not match the user's situation, and the service may not be adopted.

[0005] The present invention has been made in consideration of these points, and has as its object to make it possible to notify a user of information relating to services provided to the user at a timing that suits the user.

[0006] An information processing device of a first aspect of the present invention has an acquisition unit that acquires personal data indicating the attributes of a user, a classification unit that uses the personal data to determine a classification of the user, a determination unit that determines the timing of notifying information about the service corresponding to the relationship between the classification and the service provided to the user, and a notification unit that notifies the user of the information about the service at the timing.

[0007] The acquisition unit may acquire multiple types of personal data, and the classification unit may determine the classification for each of the multiple services using one or more types of personal data that differ among the multiple services.

[0008] The classification unit may calculate an evaluation coefficient from the value of the personal data, and determine the classification corresponding to the calculated evaluation coefficient.

[0009] The classifier may calculate the evaluation coefficient associated with a value of the personal data that differs among the plurality of services.

[0010] 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.

[0011] The determination unit may set the timing earlier as the amount of assets of the user indicated by the personal data increases, and may set the timing later as the amount of assets of the user decreases.

[0012] The determination unit may set the timing for the user whose personal data indicates that he lives alone to be earlier than the timing for the user whose personal data indicates that he does not live alone.

[0013] The classifier may determine the classification using measurement data generated by measuring the user's activity in addition to the personal data.

[0014] The classification unit may determine the classification corresponding to an amount of change in the measurement data over a predetermined period of time.

[0015] The notification unit may switch, depending on each of the plurality of services, the notification destination of the information relating to the service between the user and a related person associated with the user.

[0016] The notification unit may notify the user of information related to the service, the information being determined according to the personal data.

[0017] The information processing device may further include a change unit that changes the rules by which the classification unit classifies the user depending on whether or not the user has used the service after the notification unit has notified the user of information regarding the service.

[0018] An information processing method of a second aspect of the present invention includes the steps of: acquiring personal data indicating attributes of a user, executed by a processor; determining a classification of the user using the personal data; determining a timing for notifying information about the service corresponding to the relationship between the classification and the service provided to the user; and notifying the user of the information about the service at the timing.

[0019] An information processing device of a third aspect of the present invention has an acquisition unit that acquires personal data indicating a user's attributes and measurement data generated by measuring the user's activity, a classification unit that uses the personal data to determine a classification of the user, and a notification unit that notifies the user of information regarding services to be provided to the user when the relationship between the value of the measurement data and a reference value corresponding to the classification satisfies a predetermined condition.

[0020] An information processing method of a fourth aspect of the present invention includes the steps of: acquiring personal data indicating attributes of a user, executed by a processor; acquiring measurement data generated by measuring the activity of the user; determining a classification of the user using the personal data; and notifying the user of information regarding services to be provided to the user when the relationship between the value of the measurement data and a reference value corresponding to the classification satisfies a predetermined condition.

[0021] According to the present invention, it is possible to provide a user with information about a service provided to the user at a timing that suits the user.

[0022] FIG. 1 is a diagram illustrating an overview of an information processing system according to a first embodiment. FIG. 2 is a block diagram of an information processing system according to a first embodiment. FIG. 3 is a schematic diagram illustrating a method by which a classification unit determines a user classification. FIG. 4 is a schematic diagram of an exemplary first rule showing the relationship between personal data and measurement data values ​​and an evaluation coefficient. FIG. 5 is a schematic diagram of an exemplary first rule showing the relationship between personal data and measurement data values ​​and an evaluation coefficient. FIG. 6 is a schematic diagram illustrating a method by which a determination unit determines notification timing. FIG. 7 is a schematic diagram illustrating a method by which a notification unit notifies service information. FIG. 8 is a diagram illustrating a flowchart of an information processing method executed by an information processing device according to a first embodiment. FIG. 9 is a schematic diagram illustrating a method by which a determination unit determines notification timing. FIG. 10 is a diagram illustrating a flowchart of an information processing method executed by an information processing device according to a second embodiment.

[0023] <First embodiment> [Outline of information processing system S] Fig. 1 is a diagram showing an outline of an information processing system S according to this embodiment. The information processing system S includes an information processing device 1, a user terminal 2, a related party terminal 3, and a measurement device 4. The information processing system S may include multiple user terminals 2, multiple related party terminals 3, and multiple measurement devices 4. The information processing system S may also include other devices such as servers and terminals.

[0024] The information processing device 1 is a computer that provides service information regarding services provided to the user to the user or related parties of the user. The information processing device 1 provides information regarding, for example, end-of-life preparation services that support the user's end-of-life planning (i.e., preparations for the end of their life), life support services that support the user's daily life, and post-mortem support services that support procedures after the user's death. The information processing device 1 communicates wirelessly or via wire with the user terminal 2, related party terminal 3, and measurement device 4.

[0025] The user terminal 2 is an information terminal such as a smartphone, tablet terminal, or personal computer used by a user. The user is a person who receives information about services provided by the information processing system S. The user terminal 2 has 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 accepts operations by the user.

[0026] The related party terminal 3 is an information terminal such as a smartphone, tablet terminal, or personal computer used by a related party of the user. A related party is a person associated with the user, such as a family member or guardian. One user may be associated with multiple related parties. The related party terminal 3 has a display unit such as a liquid crystal display that displays information to the related party, and an operation unit such as a touch panel that accepts operations by the related party.

[0027] The measuring device 4 is a device that generates measurement data by measuring the activity of a user. The measuring device 4 is associated in advance with the user to be measured. One user may be associated with multiple measuring devices 4. The measuring device 4 is, for example, a human presence sensor installed in the user's room, a bed sensor installed in the bed where the user sleeps, a smart watch worn by the user, etc.

[0028] An overview of the processing executed by the information processing system S according to this embodiment will be described below. The information processing device 1 acquires personal data indicating a user's attributes and measurement data generated by measuring the user's activities (1). The personal data is data indicating, for example, the user's date of birth, gender, birthplace, place of residence, family structure, etc. The measurement data is data indicating, for example, the user's movements, sleep time or pulse rate, and the temperature, humidity, or illuminance of the environment including the user.

[0029] The information processing device 1 determines the user's classification using the personal data (2). The information processing device 1 determines the user's classification by applying pre-stored classification rules to one or more values ​​included in the personal data. The information processing device 1 may determine the user's classification using measurement data in addition to the personal data.

[0030] The information processing device 1 determines the 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 may set the notification timing earlier the greater the amount of assets of the user indicated by the personal data. Furthermore, for example, the information processing device 1 may set the notification timing earlier for a user whose personal data indicates that he or she lives alone than for a user whose personal data indicates that he or she does not live alone.

[0031] The information processing device 1 notifies the user of the service information at the determined notification timing (4). The service information is information including, for example, a description of the service content or identification information (URI (Uniform Resource Identifier)) for using the service. The information processing device 1 transmits the service information to the user terminal 2, for example, via a network. The information processing device 1 may notify related parties of the service information instead of or in addition to the user.

[0032] In this way, the information processing device 1 determines the user's classification using the user's personal data, and determines the notification timing according to the relationship between the determined classification and the service to be notified. This allows the information processing device 1 to notify the user of information about the service provided to the user at a timing that suits the user.

[0033] [Configuration of Information Processing System S] FIG. 2 is a block diagram of the information processing system S according to this embodiment. In FIG. 2, arrows indicate the main data flows, and data flows other than those shown in FIG. 2 may also exist. In FIG. 2, each block indicates a functional configuration rather than a hardware (device) configuration. Therefore, the blocks shown in FIG. 2 may be implemented in a single device, or may be implemented separately in multiple devices. Data may be exchanged between blocks via any means, such as a data bus, a network, or a portable storage medium.

[0034] The information processing device 1 includes a storage unit 11 and a control unit 12. The information processing device 1 may be configured by connecting two or more physically separated devices via a wired or wireless connection. The information processing device 1 may also be configured by a cloud, which is a collection of computer resources.

[0035] 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 programs to be executed by the control unit 12. The storage unit 11 may be provided outside the information processing device 1, in which case data may be exchanged between the storage unit 11 and the control unit 12 via a network.

[0036] The control unit 12 has 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 CPU (Central Processing Unit), 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 some of the functions of the control unit 12 may be realized by the control unit 12 executing a program executed via a network.

[0037] 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 user attributes. The acquisition unit 121 is not limited to acquiring personal data of one type (item), and may acquire personal data of multiple types.

[0038] The personal data may indicate, for example, at least one of the user's date of birth, gender, birthplace, place of residence, and family structure. The personal data may also indicate at least one of the user's asset information, interests, hobbies, preferences, friendships, behavioral history, and purchase history. The personal data may also indicate ADL (Activities of Daily Living) information, which is an index of the actions that the user can perform. The personal data may also include information indicating whether the user wishes to receive a specific service. The personal data is not limited to the specific types of information shown here, and may indicate other types of information corresponding to the user's attributes.

[0039] The acquisition unit 121 receives, for example, information (e.g., a response to a questionnaire) input to the user terminal 2 or the related party terminal 3, and acquires personal data indicated by the received information. The acquisition unit 121 may also receive personal data from another device that stores the user's personal data (e.g., a server that manages the user's registration information).

[0040] The acquisition unit 121 acquires measurement data generated by measuring the user's activity. The measurement data indicates, for example, at least one of the user's movements (such as the number of steps), sleep time or pulse rate, and the temperature, humidity, or illuminance of the environment including the user. The measurement data is not limited to the specific types of information shown here, and may indicate other types of information corresponding to the user's activity.

[0041] The measurement device 4 generates measurement data by measuring the user's activity. The measurement device 4 transmits the measurement data to the information processing device 1 each time it generates the measurement data, or compiles measurement data for a predetermined period (one hour, one day, etc.) and transmits it to the information processing device 1 via the network. In the information processing device 1, the acquisition unit 121 receives the measurement data transmitted by the measurement device 4.

[0042] The classification unit 122 determines a user classification using the personal data and measurement data acquired by the acquisition unit 121. The user classification is a group for determining the timing of notifying the user of service information. The classification unit 122 may determine a user classification using only the personal data without using the measurement data.

[0043] 3 is a schematic diagram illustrating a method for determining a user's classification by the classification unit 122. The classification unit 122 determines the user's classification by applying classification rules pre-stored in the storage unit 11 to one or more values ​​included in the personal data and measurement data.

[0044] The classification rules are rules defined for each of a plurality of services for determining a user's classification using personal data and measurement data. The classification rules include, for example, a first rule for calculating an evaluation coefficient from values ​​contained in the personal data and measurement data, and a second rule for determining a user's classification from the calculated evaluation coefficient.

[0045] The classification unit 122 determines the classification of the user for, for example, end-of-life planning services, life support services, and post-death support services. End-of-life planning services are services that support the user's end-of-life planning, such as an asset management service that manages the user's assets, or a will writing service that prepares the user's will. Life support services are services that support the user's daily life, such as shopping services such as shopping agents and mail-order services, or accompanying services to hospitals and stores. Post-death support services are services that support the procedures for the user after death, such as administrative procedures services for public institutions and financial institutions, or expert referral services for inheritance, asset management, etc.

[0046] The classification unit 122 may determine the classification of the user for other services provided to the user, not limited to the specific services shown here.

[0047] The classification unit 122 acquires classification rules for each of the multiple services pre-stored in the storage unit 11. The classification unit 122 calculates evaluation coefficients (X1, X2, and X3 in FIG. 3 ) for each of the multiple services to be notified from the personal data and measurement data acquired by the acquisition unit 121 in accordance with a first rule among the acquired classification rules. The first rule is, for example, a table showing the relationship between the evaluation coefficients and the values ​​of one or more types of personal data and measurement data that differ among the multiple services.

[0048] 4(a), 4(b), and 5 are schematic diagrams of exemplary first rules showing the relationship between the values ​​of personal data and measurement data and the evaluation coefficients. Note that in the first rules illustrated in FIGS. 4(a), 4(b), and 5, the range of values ​​for each item includes the lower limit but not the upper limit (for example, 2 million to 5 million yen represents 2 million yen or more and less than 5 million yen). The range of values ​​for each item may also be defined to exclude the lower limit but include the upper limit.

[0049] 4(a) shows a first rule for the asset management service. In the example of FIG. 4(a), the first rule indicates the relationship between owned assets, smoking history or smoking cessation history, family composition, and evaluation coefficients. The classification unit 122 calculates, in accordance with the first rule, the sum of evaluation coefficients associated with owned assets, smoking history or smoking cessation history, and family composition, respectively, among the multiple types of personal data acquired by the acquisition unit 121, as the evaluation coefficient for the asset management service. When the value of the personal data corresponds to multiple items in the first rule (for example, in the case of a user who has not smoked for 10 years and has not smoked for 5 years), the classification unit 122 may use the sum of the evaluation coefficients for the multiple items.

[0050] 4(b) shows the first rule of the will writing service. In the example of FIG. 4(b), the first rule indicates the relationship between the assets held, family structure, and measurement data and the evaluation coefficient. In accordance with the first rule, the classification unit 122 calculates the sum of the evaluation coefficients associated with the assets held and family structure, respectively, of the multiple types of personal data acquired by the acquisition unit 121, and the evaluation coefficient associated with the measurement data acquired by the acquisition unit 121, as the evaluation coefficient for the will writing service.

[0051] 4B, the first rule includes the amount of change in the measurement data. The classifier 122 calculates, for example, the amount of change in the activity level (e.g., number of steps) and the amount of nighttime sleep indicated by the measurement data acquired by the acquirer 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 for a predetermined period of time in the past (e.g., three months).

[0052] FIG. 5 shows a first rule for the shopping service. In the example of FIG. 5, the first rule indicates the relationship between owned assets, residential area, and family structure and an evaluation coefficient. The classification unit 122 calculates, in accordance with the first rule, the total value of the evaluation coefficients associated with owned assets, residential area, and family structure, respectively, among the multiple types of personal data acquired by the acquisition unit 121, as the evaluation coefficient for the shopping service. When the value of the personal data corresponds to multiple items in the first rule (for example, in the case of a user who is an elderly household (without a vehicle) and has no supporting relatives), the classification unit 122 may use the total value of the evaluation coefficients for the multiple items.

[0053] 4(a), 4(b), and 5, the classification unit 122 may use different types of personal data among the multiple services to determine the classification of the user for each of the multiple services. This allows the information processing device 1 to adjust the type of personal data used to determine the notification timing for each service, and to more appropriately determine the notification timing for each of the multiple services.

[0054] Furthermore, the classification unit 122 may calculate evaluation coefficients corresponding to the values ​​of personal data that differ among multiple services. That is, the evaluation coefficients associated with the same type of personal data may differ among multiple services. For example, the evaluation coefficient associated with the family structure used in the asset management service shown in FIG. 4A is different from the evaluation coefficient associated with the family structure used in the shopping service shown in FIG. 5. This allows the information processing device 1 to adjust the value of the evaluation coefficient associated with the value of personal data in each service, thereby more appropriately determining the notification timing for each of the multiple services.

[0055] 3 , the classification unit 122 determines a user classification corresponding to the evaluation coefficients calculated for each of the multiple services in accordance with a second rule among the acquired classification rules. The second rule is, for example, a table showing the relationship between the ranges of evaluation coefficients and the correction values. One range of evaluation coefficients in the second rule corresponds to one user classification.

[0056] The classification unit 122 determines, under the second rule, a range that includes the evaluation coefficient calculated for each of the plurality of services as a classification of the user for that service. Then, under the second rule, the classification unit 122 obtains a correction value associated with the classification of the user for each of the plurality of services.

[0057] For example, the classification unit 122 calculates the evaluation coefficient of the asset management service as 18 for a user who has assets of 10 million yen, lives alone (with no relatives), and has not smoked for eight years. In the second rule illustrated in FIG. 3 , the classification unit 122 determines the range of evaluation coefficients from 15 to 19, which includes the evaluation coefficient 18, as the user classification, and acquires a correction value of 10 associated with this range. Furthermore, the classification unit 122 calculates the evaluation coefficient of the will writing service as 13 for a user who has assets of 5 million yen, lives alone (with an heir), and has a 10% decrease in activity level. In the second rule illustrated in FIG. 3 , the classification unit 122 determines the range of evaluation coefficients from 10 to 14, which includes the evaluation coefficient 13, as the user classification, and acquires a correction value of 8 associated with this range.

[0058] Furthermore, for example, the classification unit 122 calculates the evaluation coefficient of the shopping service for a user who owns assets of 15 million yen, requires a vehicle to get to the store, is an elderly household (without a vehicle), and has no supporting relatives as 23. In the second rule illustrated in FIG. 3 , the classification unit 122 determines the range of evaluation coefficients of 20 or more, which includes the evaluation coefficient 23, as the classification of the user, and acquires the correction value 15 associated with that range.

[0059] The determination unit 123 determines the notification timing corresponding to the relationship between the user classification determined by the classification unit 122 and the service to be provided to the user. Fig. 6 is a schematic diagram for explaining a method for determining the notification timing by the determination unit 123.

[0060] The determination unit 123 acquires a reference value for each of the plurality of services stored in advance in the storage unit 11. The reference value is, for example, the age of the user that is used as a reference for the notification timing of the service. The reference value may be the same for the plurality of services or may differ among the plurality of services.

[0061] The determination unit 123 calculates the age (Z1, Z2, Z3 in FIG. 6) as the notification timing by subtracting the correction value (Y1, Y2, Y3 in FIG. 6) associated with the user classification for each of the multiple services from the reference age, which is a reference value associated with each of the multiple services. The determination unit 123 may calculate the date as the notification timing by subtracting the correction value from the reference date, which is a reference value associated with each of the multiple services, instead of the reference age.

[0062] In the examples shown in Figures 4(a), 4(b), and 5, the determination unit 123 advances the notification timing as the amount of assets (owned assets) of the user indicated by the personal data increases, and delays the notification timing as the amount of assets decreases. Also, in the examples shown in Figures 4(a), 4(b), and 5, the determination unit 123 advances the notification timing for a user whose personal data indicates that they live alone or in an elderly household, compared to a user whose personal data indicates that they do not live alone or in an elderly household.

[0063] In addition, in the example shown in Figure 4 (b), the decision unit 123 sets the timing for a user whose measurement data indicates that the activity level or nighttime sleep time has decreased earlier than for a user whose measurement data indicates that the activity level or nighttime sleep time has not decreased.

[0064] The determination unit 123 may determine the notification timing based on other criteria that use personal data and measurement data, rather than the specific criteria shown here.

[0065] 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 notify related parties of the user of the service information in addition to the user.

[0066] 7 is a schematic diagram illustrating a method for notifying the user of service information by the notification unit 124. The notification unit 124 transmits the service information to the user terminal 2 or the related party terminal 3 using email, a messaging service, a social networking service (SNS), or the like, on the condition that the notification timing determined by the determination unit 123 has arrived (for example, the user has reached the age at which the notification timing occurs).

[0067] Furthermore, instead of or in addition to transmitting the service information via a network, the notification unit 124 may output information (e.g., the content of the service information and the address of the user or related party) to a printing device for printing the service information on paper media and sending it to the user or related party. In this case, the paper media on which the service information is printed is sent to the user or related party. The notification unit 124 may notify the user or related party of the service information by other methods than transmitting it via a network or sending it on paper media.

[0068] The service information is information including, for example, a description of the service content or a URI for using the service. The notification unit 124 may also determine the content of the service information based on at least one of the personal data and the measurement data, and notify the user of the service information including the determined content. In this case, the notification unit 124 notifies the user of service information including different types of asset management services, for example, depending on the amount of assets held indicated by the personal data. This allows the information processing device 1 to notify the user of service information with content appropriate for the user based on the content of the personal data or the measurement data.

[0069] The notification unit 124 may also switch the notification destination of service information between the user and related parties depending on each of the multiple services. In this case, the notification unit 124 acquires information indicating the notification destination for each of the multiple services that is pre-stored in the storage unit 11, and switches the notification destination for each of the multiple services according to the acquired information. For example, the notification unit 124 notifies only the user of service information about life support services, and notifies both the user and related parties of service information about end-of-life planning services. This allows the information processing device 1 to notify service information to a notification destination appropriate for each service.

[0070] After the notification unit 124 notifies the user or related person of the service information, the acquisition unit 121 acquires usage data regarding whether the user or related person has used the service indicated by the notified service information. The usage data is, for example, data indicating whether the service has been used, whether the service has been subscribed to, whether the service has been introduced, and the contents of input to the service. The acquisition unit 121 receives, for example, a service usage history from the user terminal 2 or the related person terminal 3, and acquires the usage data based on the received usage history. The acquisition unit 121 may also receive usage data from another device (for example, a server providing a service) that stores usage data.

[0071] The recording unit 125 may record the usage data acquired by the acquisition unit 121 using a blockchain. For example, the recording unit 125 generates an NFT (Non-Fungible Token) associated with the usage data and the user or related party by executing a known token generation process on the usage data (such as a will created using a will creation service). The recording unit 125 records the generated NFT on a storage medium connected to a network using a blockchain. This allows the recording unit 125 to associate the usage data with the user or related party using an NFT that is difficult to tamper with, thereby more reliably recording the relationship between the usage data and the user or related party.

[0072] After the notification unit 124 notifies the user or related party of the service information, the change unit 126 may change the classification rules used by the classification unit 122 to classify users based on the usage data acquired by the acquisition unit 121. For example, the change unit 126 determines the evaluation coefficients included in the classification rules so as to increase the number of users or related parties who use the service by performing a known machine learning process on whether or not the user or related party, indicated by multiple pieces of usage data previously acquired by the acquisition unit 121, has used the service and the evaluation coefficients used when notifying the user or related party of the service information related to the usage data. The change unit 126 is not limited to the specific method shown here and may use other methods that can change the evaluation coefficients depending on the usage data. The change unit 126 stores the changed classification rules in the storage unit 11.

[0073] As a result, the information processing device 1 can adjust the evaluation coefficient depending on whether the service is used after notifying the user or related parties of the service information, and determine more effective notification timing.

[0074] [Flow of Information Processing Method] Figure 8 is a diagram showing a flowchart of the information processing method executed by the information processing device 1 according to this embodiment. The acquisition unit 121 acquires personal data indicating user attributes and measurement data generated by measuring the user's activity (S11). The acquisition unit 121 receives the personal data from, for example, the user terminal 2, the related party terminal 3, or another device. The acquisition unit 121 also receives the measurement data from, for example, the measurement device 4 or another device.

[0075] The classification unit 122 acquires classification rules for each of the multiple services that are pre-stored in the storage unit 11. The classification unit 122 calculates an evaluation coefficient for each of the multiple services to be notified from the personal data and measurement data acquired by the acquisition unit 121 in accordance with the acquired classification rules (S12). The classification unit 122 determines a user classification corresponding to the calculated evaluation coefficient for each of the multiple services in accordance with the acquired classification rules (S13).

[0076] The determination unit 123 determines the notification timing corresponding to the relationship between the user classification determined by the classification unit 122 and the service to be provided to the user (S14). The determination unit 123, for example, acquires a reference age that is a reference value for each of a plurality of services pre-stored in the storage unit 11. The determination unit 123 calculates the age that is the notification timing by subtracting a correction value associated with the user classification for the service from the reference age that is a reference value associated with each of the plurality of services.

[0077] The notification unit 124 notifies the user of service information related to the service at the notification timing determined for each of the multiple services by the determination unit 123 (S15). The notification unit 124 transmits the service information to the user terminal 2 or the related party terminal 3 using email, a messaging service, SNS, etc., on the condition that the notification timing determined by the determination unit 123 has arrived. The notification unit 124 may also output information to a printing device to print the service information on paper media and send it to the user or related party.

[0078] [Effects of the embodiment] In the information processing system S according to the present embodiment, the information processing device 1 determines a user's classification using the user's personal data, and determines the notification timing according to the relationship between the determined classification and the service to be notified. This allows the information processing device 1 to notify the user of information about the service provided to the user at a timing that suits the user.

[0079] Second Embodiment The information processing device 1 according to this embodiment uses a method different from that of the first embodiment to determine the notification timing by comparing a reference value associated with the user's classification with the user's measurement data. The following mainly describes the differences from the first embodiment. Fig. 9 is a schematic diagram illustrating a method in which the determination unit 123 determines the notification timing.

[0080] The classification unit 122 determines the classification of the user using the personal data acquired by the acquisition unit 121. The classification unit 122 may determine the classification of the user using measurement data in addition to the personal data. The classification unit 122 acquires classification rules for each of the multiple services pre-stored in the storage unit 11. In this embodiment, the classification rules include, for example, a first rule for calculating an evaluation coefficient from values ​​included in the personal data and the measurement data, and a second rule for determining the classification of the user from the calculated evaluation coefficient.

[0081] The classification unit 122 calculates an evaluation coefficient for each of the multiple services to be notified from the personal data and measurement data acquired by the acquisition unit 121 in accordance with a first rule of the acquired classification rules. The first rule is, for example, a table showing the relationship between the evaluation coefficients and the values ​​of one or more types of personal data and measurement data that differ among the multiple services, as shown in Figures 4(a), 4(b), and 5.

[0082] The classification unit 122 determines the classification of the user corresponding to the evaluation coefficient calculated for each of the multiple services in accordance with a second rule from among the acquired classification rules. The second rule is, for example, a table showing the relationship between the range of the evaluation coefficient and a reference value. The reference value is a threshold value to be compared with the measurement data, and is expressed by the amount of decrease in activity level (e.g., number of steps), nighttime sleep time, the amount of decrease in physical function value (pulse rate), etc.

[0083] One range of evaluation coefficients in the second rule corresponds to one user classification. The classification unit 122 determines, under the second rule, a range that includes the evaluation coefficients calculated for each of the multiple services as the user classification for that service. Then, under the second rule, the classification unit 122 obtains reference values ​​(X'1, X'2, and X'3 in FIG. 9 ) associated with the user classification for each of the multiple services.

[0084] The determination unit 123 compares the value of the measurement data acquired by the acquisition unit 121 with a reference value associated with the user classification determined by the classification unit 122, and determines whether the value of the measurement data and the reference value satisfy a predetermined condition. The determination unit 123 determines, for example, the timing when the value of the measurement data acquired by the acquisition unit 121 exceeds the reference value associated with the user classification determined by the classification unit 122, as the notification timing. The determination unit 123 determines, for example, the timing when the amount of decrease in activity level exceeds the reference value, the timing when the nighttime sleep duration exceeds the reference value, or the timing when the amount of decrease in the value of a physical function exceeds the reference value, as the notification timing.

[0085] The notification unit 124 notifies the user of the service information at a timing when the relationship between the value of the measurement data acquired by the acquisition unit 121 and the reference value corresponding to the user classification determined by the classification unit 122 satisfies a predetermined condition. The notification unit 124 transmits the service information related to the service to the user terminal 2, for example, at the notification timing determined for each of the multiple services by the determination unit 123. The notification unit 124 may notify the user and related parties of the user of the service information.

[0086] 10 is a flowchart illustrating an information processing method executed by the information processing device 1 according to this embodiment. The acquisition unit 121 acquires personal data indicating a user's attributes and measurement data generated by measuring the user's activities (S21). The acquisition unit 121 receives the personal data from, for example, the user terminal 2, the related party terminal 3, or another device. The acquisition unit 121 also receives the measurement data from, for example, the measurement device 4 or another device.

[0087] The classification unit 122 acquires classification rules for each of the multiple services pre-stored in the storage unit 11. The classification unit 122 calculates an evaluation coefficient for each of the multiple services to be notified from the personal data and measurement data acquired by the acquisition unit 121 in accordance with the acquired classification rules (S22). The classification unit 122 determines a user classification corresponding to the calculated evaluation coefficient for each of the multiple services in accordance with the acquired classification rules (S23).

[0088] The classifying unit 122 acquires a reference value associated with the user's classification for each of the multiple services (S24). The determining unit 123 determines the notification timing by comparing the value of the measurement data acquired by the acquiring unit 121 with the reference value associated with the user's classification determined by the classifying unit 122 (S25). The determining unit 123 determines, for example, the timing when the value of the measurement data acquired by the acquiring unit 121 exceeds the reference value associated with the user's classification determined by the classifying unit 122 as the notification timing.

[0089] The notification unit 124 notifies the user of service information related to the service at a timing when the relationship between the value of the measurement data acquired by the acquisition unit 121 and the reference value corresponding to the user classification determined by the classification unit 122 satisfies a predetermined condition (for example, at the notification timing determined for each of the multiple services by the determination unit 123) (S26). The notification unit 124 transmits the service information to the user terminal 2 or the related party terminal 3 using email, a messaging service, SNS, etc., on the condition that the notification timing determined by the determination unit 123 has arrived. Furthermore, the notification unit 124 may output information to a printing device so that the service information can be printed on paper and sent to the user or related party.

[0090] In this way, the information processing device 1 according to the present embodiment determines the user's classification using the user's personal data, and determines the notification timing by comparing the user's measurement data with the reference value associated with the determined classification. This allows the information processing device 1 to notify the user of information about services provided to the user at a timing that suits the user.

[0091] <Third embodiment> The information processing device 1 according to this embodiment notifies the user of service information, for example, of a post-mortem support service, based on measurement data indicating that the user may have died. The notification in this embodiment may be performed independently, or may be performed in parallel with the notifications in the first and second embodiments. Below, differences from the first embodiment will be mainly described.

[0092] 11 is a schematic diagram for explaining a notification method by the notification unit 124. If the measurement data acquired by the acquisition unit 121 has not changed for a predetermined period (e.g., three days) or more, or if the acquisition unit 121 is unable to acquire measurement data for a predetermined period or more, the determination unit 123 transmits survival confirmation information to the user terminal 2 or the related party terminal 3 to confirm whether the user is alive or not.

[0093] When an operation indicating that the user is alive is performed on the user terminal 2 or related party terminal 3 that received the survival confirmation information, the notification unit 124 ends the process without transmitting the service information.

[0094] If an operation indicating that the user is no longer alive is performed on the user terminal 2 or related party terminal 3 that received the survival confirmation information, or if no operation indicating that the user is alive is performed within a predetermined period (for example, three days), the notification unit 124 notifies the related party of the service information of the post-mortem support service. The notification unit 124 transmits the service information of the post-mortem support service to the related party terminal 3, for example, using email, a messaging service, SNS, etc. The notification unit 124 may also output information to a printing device for printing the service information on paper media and sending it to the related party.

[0095] In this way, the information processing device 1 of this embodiment can automatically notify relevant parties of service information about post-death support services, provided that the measurement data indicates that the user may have died, and support the actions of relevant parties after the user's death.

[0096] The present invention has been described above using embodiments, but the technical scope of the present invention is not limited to the scope described in the above embodiments, and various modifications and changes are possible within the scope of the gist of the present invention. For example, all or part of the device can be configured by functionally or physically distributing or integrating in any unit. Furthermore, new embodiments resulting from any combination of multiple embodiments are also included in the embodiments of the present invention. The effects of the new embodiments resulting from the combination also have the effects of the original embodiments.

[0097] The processor of the information processing device 1 is the subject of each step (process) included in the information processing method shown in Figures 8 and 10. That is, the processor of the information processing device 1 reads a program for executing the information processing method shown in Figures 8 and 10 from a storage unit, executes the program, and controls each unit of the information processing system, thereby executing the information processing method shown in Figures 8 and 10. Some of the steps included in the information processing method shown in Figures 8 and 10 may be omitted, the order of steps may be changed, or multiple steps may be performed in parallel.

[0098] S Information processing system 1 Information processing device 11 Storage unit 12 Control unit 121 Acquisition unit 122 Classification unit 123 Determination unit 124 Notification unit 125 Recording unit 126 Change unit 2 User terminal 3 Related party terminal 4 Measurement device

Claims

1. an acquisition unit that acquires personal data indicating attributes of a user; a classification unit that uses the personal data to determine a classification of the user; a determination unit that determines a timing for notifying information about the service corresponding to a relationship between the classification and the service provided to the user; a notification unit that notifies the user of information related to the service at the timing; and 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. Information processing device.

2. An acquisition unit that acquires personal data indicating user attributes; a classification unit that uses the personal data to determine a classification of the user; a determination unit that determines a timing for notifying information about the service corresponding to a relationship between the classification and the service provided to the user; a notification unit that notifies the user of information related to the service at the timing; and the determination unit sets the timing earlier as the amount of assets of the user indicated by the personal data increases, and sets the timing later as the amount of assets of the user decreases. Information processing device.

3. An acquisition unit that acquires personal data indicating user attributes; a classification unit that uses the personal data to determine a classification of the user; a determination unit that determines a timing for notifying information about the service corresponding to a relationship between the classification and the service provided to the user; a notification unit that notifies the user of information related to the service at the timing; and the determination unit sets the timing for the user whose personal data indicates that he or she lives alone earlier than the timing for the user whose personal data indicates that he or she does not live alone. Information processing device.

4. the acquiring unit acquires a plurality of types of personal data, The classification unit determines the classification for each of the plurality of services using one or more types of the personal data that differ among the plurality of services. The information processing device according to claim 1 .

5. The classification unit calculates an evaluation coefficient from the value of the personal data and determines the classification corresponding to the calculated evaluation coefficient. The information processing device according to claim 1 .

6. the classifier calculates the evaluation coefficient associated with a value of the personal data that differs among the plurality of services. The information processing device according to claim 5 .

7. 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.

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

8. the determination unit sets the timing earlier as the amount of assets of the user indicated by the personal data increases, and sets the timing later as the amount of assets of the user decreases. The information processing device according to claim 3 .

9. the classification unit determines the classification using measurement data generated by measuring the user's activity in addition to the personal data. The information processing device according to claim 1 .

10. the classification unit determines the classification corresponding to an amount of change in the measurement data over a predetermined period of time. The information processing device according to claim 9 .

11. the notification unit switches a notification destination of information related to the service between the user and a related person associated with the user, depending on each of the plurality of services; The information processing device according to claim 1 .

12. the notification unit notifies the user of information related to the service, the information being determined based on the personal data. The information processing device according to claim 1 .

13. The system further includes a change unit that changes a rule by which the classification unit classifies the user depending on whether the user has used the service after the notification unit has notified the user of information about the service. The information processing device according to claim 1 .

14. The processor executes acquiring personal data indicating attributes of the user; using the personal data to determine a classification of the user; determining a timing for notifying information about the service corresponding to a relationship between the classification and the service provided to the user; notifying the user of information about the service at the timing; and In the determining step, a value calculated by subtracting a correction value associated with the classification from a reference value associated with the service is determined as the timing. Information processing methods.

15. A processor executes: acquiring personal data indicating attributes of the user; using the personal data to determine a classification of the user; determining a timing for notifying information about the service corresponding to a relationship between the classification and the service provided to the user; notifying the user of information about the service at the timing; and In the determining step, the timing is made earlier as the amount of assets of the user indicated by the personal data increases, and the timing is made later as the amount of assets of the user decreases. Information processing methods.

16. A processor executes: acquiring personal data indicating attributes of the user; using the personal data to determine a classification of the user; determining a timing for notifying information about the service corresponding to a relationship between the classification and the service provided to the user; notifying the user of information about the service at the timing; and In the determining step, the timing for the user whose personal data indicates that he lives alone is set earlier than the timing for the user whose personal data indicates that he does not live alone. Information processing methods.