JP7394510B2 - Provision device, method and program - Google Patents

Description

The present invention relates to a providing device, a providing method, and a providing program.

2. Description of the Related Art Conventionally, techniques for providing information according to a user's mental state are known. As an example of such a technique, a technique is known that generates a comment that is assumed to resonate with the user based on the user's emotion indicated by the analyzed user situation, and outputs the generated comment.

Japanese Patent Application Publication No. 2016-186741

However, the above-described technology may not be able to provide appropriate information depending on the user's mental state.

For example, the above-mentioned technology only estimates the user's emotion such as "happy" or "sad," so it cannot be said that it provides information appropriate to the user's mental state. There are cases.

The present application was made in view of the above, and aims to provide appropriate information according to the degree of the user's mental state.

The providing device according to the present application includes a determination unit that determines the degree of the mental state of the user based on user information regarding the user, and a determination unit that determines the degree of the mental state of the user, and a determination unit that determines the degree of the mental state of the user, and a and a providing unit that provides service information regarding the service to the user.

According to one aspect of the embodiment, it is possible to provide appropriate information depending on the degree of the user's mental state.

FIG. 1 is a diagram illustrating an example of provision processing according to an embodiment. FIG. 2 is a diagram illustrating a configuration example of an information processing apparatus according to an embodiment. FIG. 3 is a diagram illustrating an example of a user information database according to the embodiment. FIG. 4 is a diagram illustrating an example of the area information database according to the embodiment. FIG. 5 is a flowchart illustrating an example of the procedure of the provision process according to the embodiment. FIG. 6 is a hardware configuration diagram showing an example of a computer that implements the functions of the information processing device.

DESCRIPTION OF THE PREFERRED EMBODIMENTS Below, a mode for implementing a providing apparatus, a providing method, and a providing program (hereinafter referred to as "embodiments") according to the present application will be described in detail with reference to the drawings. Note that the providing device, providing method, and providing program according to the present application are not limited by this embodiment. Further, in each of the embodiments below, the same parts are given the same reference numerals, and redundant explanations will be omitted.

[1. Embodiment]
With reference to FIG. 1, the provision processing realized by the provision apparatus and the like of this embodiment will be described. FIG. 1 is a diagram illustrating an example of provision processing according to an embodiment. Note that in FIG. 1, it is assumed that the provision processing and the like according to the embodiment are realized by the information processing device 10, which is an example of the provision device according to the present application.

As shown in FIG. 1, the provision system 1 according to the embodiment includes an information processing device 10, a user terminal 100, and an administrator terminal 200. The information processing device 10, the user terminal 100, and the administrator terminal 200 are connected to be able to communicate with each other by wire or wirelessly via a network N (for example, see FIG. 2). The network N is, for example, a WAN (Wide Area Network) such as the Internet. Note that the provision system 1 shown in FIG. 1 may include a plurality of information processing apparatuses 10, a plurality of user terminals 100, and a plurality of administrator terminals 200.

The information processing device 10 shown in FIG. 1 is an information processing device that performs provision processing, and is realized by, for example, a server device, a cloud system, or the like. For example, the information processing device 10 acquires information about users of various services provided by the information processing device 10 or other server devices. The information processing device 10 then determines the degree of the user's mental state (depression, etc. in the example of FIG. 1) based on the acquired information, and provides service information regarding services related to the mental state according to the determined degree. to the users.

The services provided by the information processing device 10 and other server devices include, for example, search services, shopping services, SNS (Social Networking Services), payment services, route search services, map provision services, travel services, and food and beverage services. The service may be a store introduction service, a facility reservation service, a weather forecast service, a schedule management service, a news provision service, an auction service, a video content distribution service, a financial transaction (stock transaction, etc.) service, or the like.

The user terminal 100 shown in FIG. 1 is an information processing device used by a user. For example, the user terminal 100 is realized by a smartphone, a tablet terminal, a notebook PC (Personal Computer), a desktop PC, a mobile phone, a PDA (Personal Digital Assistant), or the like. Further, the user terminal 100 displays information distributed by the information processing device 10 and the administrator terminal 200 using a web browser or an application. Note that the example shown in FIG. 1 shows a case where the user terminal 100 is a smartphone.

The administrator terminal 200 shown in FIG. 1 is an information processing device that is used by an administrator of a local government corresponding to an area in which a range of a predetermined size is appropriately set. For example, the administrator terminal 200 is realized by a smartphone, a tablet terminal, a notebook PC (Personal Computer), a desktop PC, a mobile phone, a PDA (Personal Digital Assistant), or the like. Further, the administrator terminal 200 displays information distributed by the information processing device 10 using a web browser or an application. Note that the example shown in FIG. 1 shows a case where the administrator terminal 200 is a desktop PC.

The provision processing performed by the information processing device 10 will be described below with reference to FIG. In the following description, the user terminals 100 will be described as user terminals 100-1 to 100-N (N is an arbitrary natural number) depending on the user who uses the user terminal 100. For example, the user terminal 100-1 is a terminal device used by the user (user U1) identified by the user ID "U1". Furthermore, hereinafter, when the user terminals 100-1 to 100-N are described without distinction, they will be referred to as the user terminal 100.

Further, in the following description, it is assumed that the administrator terminal 200 is used by the administrator M1 of the municipality #1 corresponding to the area A. In the following description, it is assumed that users U1, U2, U3, . . . reside in area A. Furthermore, in the example of FIG. 1, it is assumed that area A is set based on administrative divisions such as "town", "ward", "city", and "prefecture".

Note that the area may be set to any size range as appropriate. For example, the area may be divided into meshes of similar size based on latitude and longitude. That is, the area may be an area divided by a regional mesh. In this case, a regional mesh code may be used for the area ID. Note that the above is an example, and the area may be set based on various information other than the regional mesh.

Furthermore, in the following description, the user terminal 100 may be equated with the user, and the administrator terminal 200 may be equated with the administrator M1. That is, in the following, the user U1 can be read as the user terminal 100-1, and the administrator M1 can also be read as the administrator terminal 200.

First, the information processing device 10 acquires information regarding area A from the administrator terminal 200 (step S1). For example, the information processing device 10 acquires information regarding various services provided by local government #1 to patients with depression. The information processing device 10 also acquires environmental information regarding factors (i.e., environmental factors) that are estimated to influence the onset of depression in area A. To give a specific example, the information processing device 10 generates environmental information indicating the population density and residential density in area A (in other words, the amount of communication with neighboring residents), the weather in area A (for example, sunshine hours), etc. get.

Subsequently, the information processing device 10 acquires user information regarding the user from the user terminal 100 (step S2). For example, the information processing device 10 uses identification information for identifying users (user ID), search history in various services, location information (movement history, etc.), attribute information (demographic attributes, psychographic attributes, etc.) , user information including usage history etc. is acquired from the user terminal 100, a predetermined server device, etc.

To give a specific example, the information processing device 10 may collect information indicating whether or not the user actively goes out on holidays (for example, route search service, travel service, restaurant introduction service, facility reservation service, etc.). usage history). The information processing device 10 also acquires information indicating the user's family structure, income, and the like. The information processing device 10 also acquires information indicating the history of access to the SNS, the frequency of communication with other users on the SNS, and the like.

Note that the information processing device 10 may acquire position information determined by a GPS (Global Positioning System) sensor or the like that the user terminal 100 has. The information processing device 10 also collects biological information of the user (for example, heart rate, body temperature, blood pressure, body weight, fat percentage, etc.) may be acquired as user information.

Subsequently, the information processing device 10 determines the degree of the user's mental state based on the user information (step S3). For example, in the example of FIG. 1, the information processing device 10 uses a model trained to output the degree of depression of the users when user information is input. The degree of depression of , U3, . . . is determined. To give a specific example, the information processing device 10 may rate the user in one of five stages, from "1" indicating that the user is not depressed to "5" indicating that the user is severely depressed. It is determined that the state is the same. In the example of FIG. 1, it is assumed that the information processing device 10 determines the degree of depression of each user residing in area A, and generates determination information D#1 indicating the determination result.

Here, any known technique can be applied to learning the model, and a learning method appropriately selected depending on the information to be acquired may be used. For example, model learning may be performed using various conventional techniques related to machine learning (for example, techniques related to machine learning of supervised learning such as SVM (Support Vector Machine)). Furthermore, deep learning technology may be used for model learning. For example, various deep learning techniques such as RNN (Recurrent Neural Network) and CNN (Convolutional Neural Network) may be used for model learning.

Subsequently, the information processing device 10 provides each user with service information regarding services related to prevention and support of depression, depending on the degree of depression (step S4). For example, the information processing device 10 provides (sends) service information regarding various services provided by the local government #1 to the user terminal 100 depending on the degree of depression. To give a specific example, the information processing device 10 may contact the consultation counter provided by the local government #1 or the local government for the user UID #2 whose degree of depression is "2 (mild depression)". Information regarding mental health counseling for resident #1 is provided to user terminal 100-2. In addition, the information processing device 10 provides information regarding financial support for residents of municipality #1 and employment support to user UID #3 whose degree of depression is "5 (severely depressed state)". information, information regarding self-help groups in area A, etc. are provided to the user terminal 100-3.

Subsequently, the information processing device 10 notifies the administrator M1 regarding the user group residing in area A, depending on the degree of depression of the user group (step S5). For example, when the number of users with a depression level of "4" or higher reaches a predetermined threshold or more, the information processing device 10 sends a message indicating that the use of a service for users with severe depression will increase. Notify me of an alert. In addition, in a state where the number of users whose degree of depression is "2" or "3" (in other words, users who are mildly depressed or moderately depressed) is greater than or equal to a predetermined threshold, Based on the environmental information, if deterioration of environmental factors that adversely affect depression (for example, decrease in sunlight hours) is predicted in area A, the information processing device 10 predicts that the number of users with severe depression will increase. Notify an alert that there is a possibility. Furthermore, if the rate of increase in the number of users with a degree of depression of "2" or higher is greater than or equal to a predetermined threshold within the most recent predetermined period, the information processing device 10 issues an alert regarding the increase in the number of users with depression. Notify.

As described above, the information processing device 10 according to the embodiment determines the degree of depression of the user and provides service information according to the determined degree. As a result, the information processing device 10 according to the embodiment can provide information so that the user can receive appropriate services depending on the degree of depression, so it is possible to prevent depression, prevent deterioration of depression, Support for reintegration into society can be provided. That is, the information processing device 10 according to the embodiment can provide appropriate information depending on the user's mental state.

[2. Configuration of information processing device]
Next, the configuration of the information processing device 10 will be described using FIG. 2. FIG. 2 is a diagram illustrating a configuration example of an information processing apparatus according to an embodiment. As shown in FIG. 2, the information processing device 10 includes a communication section 20, a storage section 30, and a control section 40.

(About the communication department 20)
The communication unit 20 is realized by, for example, a NIC (Network Interface Card). The communication unit 20 is connected to the network N by wire or wirelessly, and transmits and receives information to and from the user terminal 100, the administrator terminal 200, and the like.

(About the storage unit 30)
The storage unit 30 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disk. As shown in FIG. 2, the storage unit 30 includes a user information database 31 and an area information database 32.

(About the user information database 31)
The user information database 31 stores various information regarding users. Here, an example of information stored in the user information database 31 will be explained using FIG. 3. FIG. 3 is a diagram illustrating an example of a user information database according to the embodiment. In the example of FIG. 3, the user information database 31 includes items such as "user ID,""place of residence,""searchhistory,""locationinformation,""attributeinformation,""usagehistory," and "biometric information." has.

"User ID" indicates identification information for identifying a user. “Residence” indicates the user's residence, and stores information such as an address and identification information (area ID) for identifying the area to which the user belongs. "Search history" indicates the history of search queries entered by users in various services. "Position information" indicates the history of the user's location. "Attribute information" indicates the user's attributes, and stores, for example, demographic attributes and psychographic attributes. "Usage history" indicates the user's usage history of various services. "Biological information" indicates the user's biological information, and stores information such as heart rate, body temperature, blood pressure, weight, body fat percentage, etc.

That is, in FIG. 3, the residence of the user identified by the user ID "UID #1" is "Residence #1", the search history is "Search history #1", and the location information is "Location information #1". , an example is shown in which the attribute information is "attribute information #1", the usage history is "usage history #1", and the biometric information is "biometric information #1".

(About area information database 32)
The area information database 32 stores various information regarding each area. Here, an example of information stored in the area information database 32 will be explained using FIG. 4. FIG. 4 is a diagram illustrating an example of the area information database according to the embodiment. In the example of FIG. 4, the area information database 32 has items such as "area ID", "location", "resident information", "service information", and "environmental information".

"Area ID" indicates identification information for identifying an area. “Location” indicates the location of the area. "Resident information" indicates information regarding users residing within the area, and stores information such as user IDs, for example. "Service information" indicates information regarding services provided by the local government corresponding to the area. "Environmental information" indicates information on factors (environmental factors) that are estimated to affect the mental state of users in the area, and stores information such as population density, residential density, weather (sunshine hours, etc.) be done.

That is, in FIG. 4, the location of the area identified by the area ID "AID #1" is "Location #1", the information of the resident user is "Resident information #1", and the information provided by the local government corresponding to the area An example is shown in which the information regarding the service to be provided is "service information #1" and the environment information for the area is "environment information #1."

(About the control unit 40)
The control unit 40 is a controller, and various programs stored in a storage device inside the information processing device 10 use the RAM as a work area by, for example, a CPU (Central Processing Unit) or an MPU (Micro Processing Unit). This is achieved by executing as . Further, the control unit 40 is a controller, and is realized by, for example, an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array). As shown in FIG. 2, the control unit 40 according to the embodiment includes an acquisition unit 41, a determination unit 42, an estimation unit 43, a provision unit 44, and a notification unit 45, and performs information processing described below. To realize or carry out the functions and actions of

(About the acquisition unit 41)
The acquisition unit 41 acquires user information regarding the user. For example, in the example of FIG. 1, the acquisition unit 41 collects identification information for identifying users (user ID), search history in various services, location information (movement history, etc.), attribute information (demographic attributes, The user information including psychographic attributes, etc.), usage history, etc. is acquired from the user terminal 100, a predetermined server device, etc., and stored in the user information database 31.

Further, the acquisition unit 41 may acquire information regarding the area. For example, in the example of FIG. 1, the acquisition unit 41 acquires information regarding various services provided by municipality #1 to depressed patients and stores it in the area information database 32. In addition, the information processing device 10 acquires environmental information regarding factors (i.e., environmental factors) that are estimated to influence the onset of depression in area A, and stores it in the area information database 32.

(About the determination unit 42)
The determination unit 42 determines the degree of mental state of the user based on user information regarding the user. For example, in the example of FIG. 1, the determination unit 42 refers to the user information database 31 and selects a model that has been trained to output the degree of depression of the user when user information is input. is used to determine the degree of depression of users U1, U2, U3, .

Further, the determination unit 42 may determine the degree of the user's mental state based on the user's search history. For example, when the search history includes a search query related to a mental state, the determination unit 42 determines that the user's mental state is worse than when the search history does not include the search query. To give a specific example, the determination unit 42 searches for search queries that include negative wording, search queries related to symptoms of depression (for example, "anxiety," "can't sleep," "gained weight," etc.), , search queries related to the treatment of depression (e.g., "psychosomatic medicine"), search queries that indicate that the user is placed in an environment where the user is likely to develop depression (e.g., "promotion," "demotion," "unemployment," If the search history includes search terms such as "pregnancy," "childbirth," etc., it is determined that the user's degree of depression is higher than if the search history does not include the search query.

Further, the determination unit 42 may determine the degree of the user's mental state based on the user's location information. For example, the determination unit 42 determines that when there is little change in the user's position (in other words, when the user does not go out), the mental state of the user is worse than when there is much change.

Further, the determination unit 42 may determine the degree of the user's mental state based on the user's movement history. For example, the determination unit 42 determines that if the user is only moving from home to work or school, the user's mental state is worse than if the user is moving to a place other than work or school. It is determined that Further, the determination unit 42 determines that when the user is not out on a holiday, the mental state of the user is worse than when the user is out on a holiday.

Further, the determination unit 42 may determine the degree of the user's mental state based on the user's family structure. For example, the determining unit 42 determines that when a user lives alone, the mental state of the user is worse than when the user lives with someone.

Further, the determination unit 42 may determine the degree of the user's mental state based on the user's income. For example, when the user's income has decreased, the determination unit 42 determines that the user's mental state is worse than when the user's income has not decreased.

Further, the determination unit 42 may determine the degree of the user's mental state based on the user's usage history of a predetermined service. For example, the determination unit 42 determines whether the frequency of use of a route search service, travel service, restaurant introduction service, facility reservation service, etc. is low (in other words, the user does not go out frequently), or the frequency of use is high. It is determined that the user's mental state is worse than the above.

Further, the determining unit 42 may determine the degree of the user's mental state based on the user's usage history on SNS. For example, if the frequency of communication with other users on the SNS is low even though the frequency of accessing the SNS is high, the determining unit 42 determines that the mental state of the user is worse than when the frequency of communication with other users on the SNS is high.

Further, the determination unit 42 may determine the degree of the user's mental state based on information regarding other users who are in a predetermined mental state and user information. For example, the determining unit 42 determines that the higher the degree of match between the user information and the user who is severely depressed, the worse the mental state of the user is.

Further, the determination unit 42 may determine the degree of the user's mental state based on the user's biological information. For example, the determining unit 42 determines that the higher the degree of stress of the user estimated based on the user's heartbeat, the worse the mental state of the user is. Further, the determination unit 42 determines that the higher the rate of increase in the user's weight, the worse the user's mental state is.

Here, if the information about the area where the user currently resides (environmental information, etc.) and the information about the area where the user lived in the past (place of birth, etc.) are not similar, this may have a negative impact on the user's mental state. It is estimated to be. Therefore, the determination unit 42 may determine the degree of the user's mental state based on the information regarding the area where the user is located and the user information. For example, the determining unit 42 determines the degree of the user's mental state based on the result of matching information regarding the area where the user resides and user information. To give a specific example, the determination unit 42 determines that the lower the degree of matching between the user information of the user and the user information regarding other users who live in the area where the user resides, the more the determination unit 42 determines that the It is determined that the person's mental state is poor. Further, the determination unit 42 determines that the lower the degree of matching between the information regarding the area where the user currently resides and the information regarding the area where the user has resided in the past, the worse the mental state of the user is. To give a more specific example, the determination unit 42 selects areas from areas with high population density and residential density (in other words, areas where there is a large amount of communication with neighboring residents) to areas with low population density and residential density (in other words, areas where there is a large amount of communication with neighboring residents). , an area where there is less communication with neighboring residents), the larger the difference in population density or residential density, the worse the user's mental state is judged to be.

Note that the determination unit 42 may combine a plurality of the above processes to determine the degree of the user's mental state. For example, the determination unit 42 may determine the degree of the user's mental state based on the user's search history, location information, family composition, income, service usage history, biological information, and the like.

(About the estimation unit 43)
Here, there may be a desire to estimate whether or not the area in which the user resides has a negative effect on the user's mental state, and to provide the user with information according to the estimated result. Therefore, the estimation unit 43 estimates the change in the user's mental state based on the information regarding the area where the user is located and the user information. For example, the estimating unit 43 estimates that the user's mental state will deteriorate if the degree of coincidence between information regarding the area where the user currently resides and information regarding the area where the user has resided in the past is low. In addition, the estimating unit 43 estimates that the mental state of the user will deteriorate if the degree of matching between the user information of the user and the user information regarding other users living in the area where the user resides is low. do.

(About the providing section 44)
The providing unit 44 provides the user with service information regarding services related to the mental state according to the degree determined by the determining unit 42 . For example, in the example of FIG. 1, the providing unit 44 provides each user with service information regarding services related to prevention and support of depression, depending on the degree of depression.

Further, the providing unit 44 may provide service information regarding services available in the area where the user is located. For example, the providing unit 44 provides service information regarding various services (for example, private services) available in the area where the user resides, depending on the user's mental state.

Further, the providing unit 44 may provide service information regarding services provided by the local government corresponding to the area where the user is located. For example, in the example of FIG. 1, the providing unit 44 refers to the area information database 32 and provides service information regarding various services provided by the local government #1 depending on the degree of depression.

Furthermore, when the estimation result by the estimation unit 43 satisfies a predetermined condition, the providing unit 44 may provide the user with information regarding the estimation result. For example, when it is estimated that the user's mental state will deteriorate, the providing unit 44 sends an alert that the user's mental state will deteriorate if he continues to live in the current area, and predetermined information (for example, information on available services, moving suggestions, etc.).

(About the notification section 45)
The notification unit 45 notifies a notification destination corresponding to a predetermined area regarding the user group according to the level of mental state of the user group located within the predetermined area. For example, in the example of FIG. 1, the notification unit 45 notifies the administrator M1 regarding the user group residing in area A, depending on the degree of depression of the user group.

[3. Provision process flow]
The procedure of the provision processing of the information processing device 10 according to the embodiment will be explained using FIG. 5. FIG. 5 is a flowchart illustrating an example of the procedure of the provision process according to the embodiment.

As shown in FIG. 5, the information processing device 10 determines the degree of mental state of the user based on user information regarding the user (step S101). Subsequently, the information processing device 10 provides service information regarding services related to the mental state, depending on the degree of the mental state (step S102). Subsequently, the information processing device 10 notifies the notification destination corresponding to the predetermined area regarding the user group according to the level of mental state of the user group located within the predetermined area (step S103). Finish the process.

[4. Modified example]
The embodiments described above are merely examples, and various modifications and applications are possible.

[4-1. Regarding the user's mental state]
In the above-described embodiment, an example was shown in which the determination unit 42 determines the degree of depression of the user, but the function of the determination unit 42 is not limited to this example, and may determine the degree of any mental state. It's fine. For example, the determination unit 42 may determine the degree of stress of the user, the degree of emotional ups and downs, and the like.

Further, the determination unit 42 may determine the degree of mental state according to the user's attributes. For example, if the user's gender is female and she is pregnant, the determination unit 42 may determine the degree of depression associated with the pregnancy and childbirth of the user.

[4-2. Regarding processing mode]
Among the processes described in the above embodiments, all or part of the processes described as being performed automatically can be performed manually, and conversely, all of the processes described as being performed manually can be performed manually. Alternatively, some of the steps can be performed automatically using known methods. In addition, the processing procedures, specific names, and information including various data and parameters shown in the above text and drawings may be changed arbitrarily, unless otherwise specified. For example, the various information shown in each figure is not limited to the illustrated information.

Further, each component of each device shown in the drawings is functionally conceptual, and does not necessarily need to be physically configured as shown in the drawings. In other words, the specific form of distributing and integrating each device is not limited to what is shown in the diagram, and all or part of the devices can be functionally or physically distributed or integrated in arbitrary units depending on various loads and usage conditions. Can be integrated and configured.

Furthermore, the embodiments described above can be combined as appropriate within a range that does not conflict with the processing contents.

[5. effect〕
As described above, the information processing device 10 according to the embodiment includes the acquisition section 41 , the determination section 42 , the estimation section 43 , the provision section 44 , and the notification section 45 . The acquisition unit 41 acquires user information regarding the user. The determination unit 42 determines the degree of mental state of the user based on user information regarding the user. The estimation unit 43 estimates a change in the user's mental state based on information regarding the area where the user is located and user information. The providing unit 44 provides the user with service information regarding services related to the mental state according to the degree determined by the determining unit 42 . Further, when the estimation result by the estimating section 43 satisfies a predetermined condition, the providing section 44 provides information regarding the estimation result to the user. The notification unit 45 notifies a notification destination corresponding to a predetermined area regarding the user group according to the level of mental state of the user group located within the predetermined area.

Thereby, the information processing device 10 according to the embodiment prevents the deterioration of the user's mental state by providing information so that the user can receive appropriate services according to the degree of the user's mental state. This makes it possible to provide appropriate information depending on the user's mental state.

Further, in the information processing device 10 according to the embodiment, for example, the determination unit 42 determines the degree of the user's mental state based on the user's search history. Further, the determination unit 42 determines the degree of the user's mental state based on the user's location information. Further, the determination unit 42 determines the degree of the user's mental state based on the user's movement history. Further, the determination unit 42 determines the degree of the user's mental state based on the user's family structure. Further, the determination unit 42 determines the degree of the user's mental state based on the user's income. Further, the determination unit 42 determines the degree of the user's mental state based on the user's usage history of a predetermined service. Further, the determination unit 42 determines the degree of the user's mental state based on the user's usage history on the SNS. Further, the determination unit 42 determines the degree of the user's mental state based on information regarding other users who are in a predetermined mental state and user information. Further, the determination unit 42 determines the degree of the user's mental state based on the user's biometric information. Further, the determination unit 42 determines the degree of the user's mental state based on information regarding the area where the user is located and user information.

Thereby, the information processing device 10 according to the embodiment can determine the degree of the user's mental state based on various types of information, and therefore can accurately determine the degree of the user's mental state.

Further, in the information processing device 10 according to the embodiment, for example, the providing unit 44 provides service information regarding services available in the area where the user is located. Further, the providing unit 44 provides service information regarding services provided by the local government corresponding to the area where the user is located.

Thereby, the information processing apparatus 10 according to the embodiment can provide information regarding services that can be provided in the area where the user is located, and thus can improve convenience.

Further, in the information processing device 10 according to the embodiment, for example, the estimating unit 43 estimates a change in the user's mental state based on information regarding the area where the user is located and user information. The providing unit 44 provides information regarding the estimation result to the user when the estimation result by the estimation unit 43 satisfies a predetermined condition.

Thereby, the information processing device 10 according to the embodiment can provide appropriate information when the area where the user lives has a negative impact on the user's mental state, thereby supporting the user's life.

[6. Hardware configuration]
Further, the information processing apparatus 10 according to each of the embodiments described above is realized by, for example, a computer 1000 having a configuration as shown in FIG. The information processing device 10 will be described below as an example. FIG. 6 is a hardware configuration diagram showing an example of a computer that implements the functions of the information processing device. Computer 1000 has CPU 1100, RAM 1200, ROM 1300, HDD 1400, communication interface (I/F) 1500, input/output interface (I/F) 1600, and media interface (I/F) 1700.

CPU 1100 operates based on a program stored in ROM 1300 or HDD 1400, and controls each part. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started, programs depending on the hardware of the computer 1000, and the like.

The HDD 1400 stores programs executed by the CPU 1100, data used by the programs, and the like. Communication interface 1500 receives data from other devices via communication network 500 (corresponding to network N in the embodiment) and sends it to CPU 1100, and also sends data generated by CPU 1100 to other devices via communication network 500. Send to device.

The CPU 1100 controls output devices such as a display and a printer, and input devices such as a keyboard and mouse via an input/output interface 1600. CPU 1100 obtains data from an input device via input/output interface 1600. Further, CPU 1100 outputs the generated data to an output device via input/output interface 1600.

Media interface 1700 reads programs or data stored in recording medium 1800 and provides them to CPU 1100 via RAM 1200. CPU 1100 loads this program from recording medium 1800 onto RAM 1200 via media interface 1700, and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or a PD (Phase change rewritable disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. etc.

For example, when the computer 1000 functions as the information processing device 10, the CPU 1100 of the computer 1000 realizes the functions of the control unit 40 by executing a program loaded onto the RAM 1200. Further, each data in the storage device of the information processing device 10 is stored in the HDD 1400. The CPU 1100 of the computer 1000 reads these programs from the recording medium 1800 and executes them, but as another example, these programs may be acquired from another device via a predetermined communication network.

[7. others〕
Some of the embodiments of the present application have been described above in detail based on the drawings, but these are merely examples, and various modifications and variations may be made based on the knowledge of those skilled in the art, including the embodiments described in the disclosure section of the invention. It is possible to carry out the invention in other forms with modifications.

Further, the configuration of the information processing device 10 described above can be changed flexibly, such as implementing some functions by calling an external platform or the like using an API (Application Programming Interface), network computing, or the like.

Further, the "unit" described in the claims can be read as "means", "circuit", etc. For example, the acquisition unit can be read as an acquisition means or an acquisition circuit.

10 information processing device 20 communication unit 30 storage unit 31 user information database 32 area information database 40 control unit 41 acquisition unit 42 determination unit 43 estimation unit 44 provision unit 45 notification unit 100 user terminal 200 administrator terminal

Claims (16)

a determination unit that determines the degree of mental state of the user based on user information about the user;
a providing unit that provides service information regarding services related to the mental state to the user according to the degree determined by the determining unit ;
If the number of users who are estimated to be in a bad mental state based on the degree of their mental state exceeds a predetermined threshold among the user group located in a predetermined area, a notification will be sent to the notification destination corresponding to the area. and a notification unit that sends a notification regarding an increase in the use of the service to a notification destination that provides the service.
A providing device characterized by having: The determination unit includes:
The providing device according to claim 1, wherein the user's mental state is determined based on the user's search history. The determination unit includes:
The providing device according to claim 1 or 2, wherein the degree of the user's mental state is determined based on the user's location information. The determination unit includes:
The providing device according to claim 3, wherein the degree of the user's mental state is determined based on the user's movement history. The determination unit includes:
The providing device according to any one of claims 1 to 4, wherein the user's mental state is determined based on the user's family structure. The determination unit includes:
The providing device according to any one of claims 1 to 5, wherein the user's mental state is determined based on the user's income. The determination unit includes:
The providing device according to any one of claims 1 to 6, wherein the degree of the user's mental state is determined based on the user's usage history in a predetermined service. The determination unit includes:
The providing device according to any one of claims 1 to 7, wherein the degree of mental state of the user is determined based on the usage history of the user in an SNS (Social Networking Service). The determination unit includes:
Any one of claims 1 to 8, characterized in that the degree of the user's mental state is determined based on information regarding other users who are in a predetermined mental state and the user information. The provision device described in . The determination unit includes:
The method according to any one of claims 1 to 9, wherein the degree of mental state of the user is determined based on information regarding the area where the user is located and the user information. Providing device. The provision department is
The providing device according to any one of claims 1 to 10, wherein the providing device provides the service information regarding services available in the area where the user is located. The provision department is
The providing device according to any one of claims 1 to 11, wherein the service information regarding a service provided by a local government corresponding to an area where the user is located is provided. The determination unit includes:
The providing device according to any one of claims 1 to 12, characterized in that the degree of mental state of the user is determined based on biometric information of the user. further comprising: an estimation unit that estimates a change in the mental state of the user based on information regarding the area where the user is located and the user information;
The provision department is
14. The providing device according to any one of claims 1 to 13, wherein when the estimation result by the estimator satisfies a predetermined condition, information regarding the estimation result is provided to the user. A providing method executed by a computer, comprising:
a determination step of determining the degree of mental state of the user based on user information about the user;
a providing step of providing service information regarding a service related to the mental state to the user according to the degree determined in the determining step ;
If the number of users who are estimated to be in a bad mental state based on the degree of their mental state exceeds a predetermined threshold among the user group located in a predetermined area, a notification will be sent to the notification destination corresponding to the area. and a notification step of notifying a notification destination that provides the service regarding a warning that the usage of the service will increase.
A providing method characterized by comprising: a determination procedure for determining the degree of mental state of the user based on user information about the user;
a providing step of providing service information regarding a service related to the mental state to the user according to the degree determined by the determining step ;
If the number of users who are estimated to be in a bad mental state based on the degree of their mental state exceeds a predetermined threshold among the user group located in a predetermined area, a notification will be sent to the notification destination corresponding to the area. and a notification procedure for notifying a notification destination that provides the service regarding a warning that the usage of the service will increase.
A provided program that allows a computer to execute.

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