JP2024001583A - Information processing method and program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information processing method and a program that provide services with high user use satisfaction.

SOLUTION: In an information processing system including a server device as an information processing device (computer), a user terminal as a terminal used by a user, and an administrator terminal, which are communicably connected to each other via a network, an information processing method executed by the server includes: storing the content in a storage unit; acquiring user information, which is information about the user himself/herself S104; analyzing the user information and estimating the user's condition S106; matching the content according to the user's condition S108; and presenting at least part of the content to the user S110.

SELECTED DRAWING: Figure 8

COPYRIGHT: (C)2024,JPO&INPIT

Description

The present invention relates to an information processing method and program.

Cited document 1 discloses a technology that provides a gift or lucky charm that can be used for personal authentication at a shrine or temple, and provides a service desired by a praying person (user) after personal authentication using the gift or lucky charm. .

Japanese Patent Application Publication No. 2005-205173

In the case of the method disclosed in the above-mentioned prior art document, by giving the user a gift or lucky charm that is equipped with a non-contact IC chip in which personal authentication information including the user's prayer content is recorded, the shrine and temple side , create an environment that provides differentiated gifts or lucky charms to each user. On the other hand, on the user's side as well, individual thoughts are reflected in gifts or lucky charms. However, the information recorded on the gift is the content of the prayer desired by the user. In other words, information that the user himself or herself is aware of is recorded, and services are provided based on this information. Therefore, there is room for improvement in order to provide services with high user satisfaction.

The present invention has been made in view of the above-mentioned problems, and an object of the present invention is to obtain an information processing method and program that can provide a service with high user satisfaction.

An information processing method according to an embodiment is an information processing method executed by an information processing device, and includes a step of acquiring user information that is information related to a user, and a state of the user based on the user information. The method includes a step of estimating a content, a step of matching content obtained in advance according to the state of the user, and a step of presenting at least a part of the content to the user.

According to one embodiment, it is possible to provide a service with high user satisfaction.

1 is a diagram illustrating an example of the configuration of an information processing system according to an embodiment. It is a diagram showing an example of the hardware configuration of a server device according to the present embodiment. FIG. 2 is a diagram illustrating an example of the hardware configuration of a user terminal according to the present embodiment. FIG. 2 is a diagram showing an example of a functional configuration of a server device according to the present embodiment. It is a diagram showing an example of the functional configuration of a user terminal and an administrator terminal according to the present embodiment. FIG. 2 is a schematic diagram showing a display example of recommendation results displayed by a user terminal in the information processing system according to the present embodiment. It is a schematic diagram showing the relationship between training content and content score in the information processing system according to the present embodiment. 2 is a flowchart illustrating an example of a process executed by the information processing system according to the present embodiment.

Hereinafter, each embodiment of the present invention will be described with reference to the accompanying drawings. Note that in the descriptions of the specifications and drawings related to each embodiment, the same reference numerals are given to the constituent elements having substantially the same functional configuration to omit redundant explanation.

<System overview>
First, an overview of the information processing system according to this embodiment will be explained. The information processing system according to this embodiment is a system for providing content that contributes to the user's well-being from a Buddhist perspective to the user. Here, well-being generally refers to a state in which an individual is physically, mentally, and socially satisfied and in good condition. In this embodiment, Buddhist training content is used as content that contributes to improving or maintaining at least one of the user's physical health, the user's mental health, and the user's social health. This is a service that makes recommendations for each person. This service may be a so-called web service that is completed only online, or it may be a service that combines an online service with a visit to a shrine or temple in the real world, or training. Note that details of the training content will be described later.

<System configuration>
FIG. 1 is a diagram showing an example of the configuration of an information processing system according to this embodiment. As shown in FIG. 1, the information processing system 10 according to the present embodiment includes a server device 12 as an information processing device (computer) that is communicably connected to each other via a network N, and a server device 12 that is used by a user. It includes a user terminal 14 as a terminal and an administrator terminal 16. The network N is, for example, a wired LAN (Local Area Network), a wireless LAN, the Internet, a public line network, a mobile data communication network, or a combination thereof.

The server device 12 is a device managed and operated by a company providing this service, etc., and executes at least one of estimating and evaluating the user's condition, and also provides content that contributes to the user's well-being based on the execution result. Matching is performed, and the matching result is transmitted to the user terminal 14.

The user terminal 14 may be a general-purpose information processing device such as a smartphone or a personal computer. The user terminal 14 performs login authentication to this service, transmits user information to the server device 12, receives information from the server device 12, and the like.

The administrator terminal 16 may be a general-purpose information processing device such as a personal computer or a smartphone. The administrator terminal 16 is managed and operated by the provider of this service, and performs user management, content registration, and the like.

<Hardware configuration>
Next, the hardware configuration of the server device 12 will be explained. FIG. 2 is a diagram showing an example of the hardware configuration of the server device 12. As shown in FIG. As shown in FIG. 2, the server device 12 includes a processor 18, a memory 20, a storage 22, and a communication I/F 24, which are interconnected via a bus B.

The processor 18 controls each configuration of the server device 12 and realizes the functions of the server device 12 by expanding programs stored in the storage 22 into the memory 20 and executing them. The programs executed by the processor 18 include, but are not limited to, an OS (Operating System) and a training recommendation program 26 (see FIG. 4). The information processing method according to this embodiment is realized by the processor 18 executing the training recommendation program 26. The processor 18 is, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), a GPU (Graphics Processing Unit), an ASIC (Application Specific Integrated Circuit), a DSP (Digital Signal Processor), or a combination thereof. Note that the above-mentioned training recommendation program 26 corresponds to the "program" described in claim 6.

The memory 20 is, for example, a ROM (Read Only Memory), a RAM (Random Access Memory), or a combination thereof. The ROM is, for example, a PROM (Programmable ROM), an EPROM (Erasable Programmable ROM), an EEPROM (Electrically Erasable Programmable ROM), or a combination thereof. The RAM is, for example, DRAM (Dynamic RAM), SRAM (Static RAM), MRAM (Magnetoresistive RAM), or a combination thereof.

The storage 22 stores an OS, a training recommendation program 26, and various data. The storage 22 is, for example, a flash memory, an HDD (Hard Disk Drive), an SSD (Solid State Drive), an SCM (Storage Class Memories), or a combination thereof.

The communication I/F 24 is an interface for connecting the server device 12 to external devices including the user terminal 14 and the administrator terminal 16 via the network N and controlling communication. The communication I/F 24 is, for example, an adapter compliant with Bluetooth (registered trademark), Wi-Fi (registered trademark), ZigBee (registered trademark), Ethernet (registered trademark), or optical communication (for example, Fiber Channel). , but not limited to this.

Next, the hardware configuration of the user terminal 14 will be explained. FIG. 3 is a diagram showing an example of the hardware configuration of the user terminal 14. As shown in FIG. 3, the user terminal 14 includes a processor 18, a memory 20, a storage 22, a communication I/F 24, an input/output I/F 28, and an imaging It includes a device 30, a sound collection device 32, a user I/F 34, and a posture sensor 36.

The input/output I/F 28 is an interface for connecting a user I/F 34 such as a display, a mouse, a keyboard, etc., which will be described later, to the user terminal 14, and includes, for example, a plurality of input/output terminals that conform to a predetermined standard. It consists of The input/output I/F 28 acquires and outputs information to various devices connected thereto, including the user I/F 34.

The imaging device 30 is a device for photographing the face of a person using the user terminal 14 and the surroundings of the user terminal to obtain image data. Specifically, it is a scanner, a camera, or a combination thereof.

The sound collection device 32 is a device for collecting sounds around the user terminal 14 . Specifically, it is a microphone.

The user I/F 34 is an interface for inputting and outputting various information on the user terminal 14. Specifically, the input device is, for example, a mouse, keyboard, touch panel, microphone, scanner, camera, various sensors, operation buttons, or a combination thereof. In addition, examples of devices that perform output include a display, a projector, a printer, a speaker, a vibrator, or a combination thereof.

The attitude sensor 36 is a device for detecting the attitude of the user terminal 14. Specifically, it is a gyro sensor, an acceleration sensor, a geomagnetic sensor, etc., or a combination thereof. Note that the posture includes the orientation and inclination of the user terminal 14 itself.

Note that the administrator terminal 16 basically has the same hardware configuration as the user terminal 14 described above. Further, in this embodiment, the training recommendation program 26 may be written into the memory 20 or the storage 22 at the manufacturing stage of the server device 12, the user terminal 14, and the administrator terminal 16, or may be written to the server device 12, the user terminal 14, and the administrator terminal 16 through the network N. It may be provided to the device 12, the user terminal 14, and the administrator terminal 16, or it may be provided to the server device 12, the user terminal 14, and the administrator via a non-transitory computer-readable recording medium such as a disk medium (not shown). The information may also be provided to the user terminal 16.

<Functional configuration>
Next, the functional configuration of the server device 12 will be explained. FIG. 4 is a diagram showing an example of the functional configuration of the server device 12. As shown in FIG. As shown in FIG. 4, the server device 12 includes a communication section 38, a storage section 40, and a processing section 42.

The communication unit 38 is realized by the communication I/F 24. The communication unit 38 transmits and receives information between the user terminal 14 and the administrator terminal 16 via the network N. The communication unit 38 receives information input from the user terminal 14 and the administrator terminal 16. The communication unit 38 also transmits information such as content recommendation results to the user terminal 14 and the administrator terminal 16, and sends various information for users and administrators from the user terminal 14 and administrator terminal 16. Receive requests.

The storage unit 40 is realized by the memory 20 and the storage 22. The storage unit 40 stores a training recommendation program 26, a learning model 44, a user DB 46, a result DB 48, and a content DB 50.

The learning model 44 performs machine learning in advance to output the estimated state of the user in response to input of at least one of the usage status of the user terminal 14, image information, audio information, and information regarding the user's posture. This is a trained learning model. Specifically, at least one of the user's physical health, the user's mental health, and the user's social health is estimated. The learning process and relearning process of the learning model 44 are performed by the server device 12, for example, but are not limited thereto. The learning process and relearning process of the learning model 44 may be performed by a device other than the server device 12 and provided to the server device 12. The learning model 44 is, for example, a neural network such as a DNN (Deep Neural Network), an RNN (Recurrent Neural Network), a CNN (Convolutional Neural Network), or an LSTM (Long Short-Term Memory), but is not limited thereto. The learning model 44 may be a learning model such as a decision tree or SVM (Support Vector Machine). Further, the learning method of the learning model 44 is, for example, a gradient descent method, a stochastic gradient descent method, or an error backpropagation method, but is not limited thereto.

The user DB 46 is a database for storing information regarding users. In this embodiment, ID information that identifies a user and various information linked to the ID information are stored.

The result DB 48 is used to store estimation results by the learning model 44 linked to each user's ID information, training content recommendation results, usage status of the training content, and training level of the user (details will be described later). It is a database.

The content DB 50 stores a plurality of training contents. The training content includes at least one of a video, an image, and text information. Training content is content that promotes training that contributes to well-being from a Buddhist perspective, and examples include zazen, copying of sutras (calligraphy), shabutsu (paintings), chants, temple schools, fasting, martial arts, pilgrimages, Temple and shrine training, Shugendo (yamabushi), waterfall training (water training), fire walking training, sermons, tea ceremony, flower arranging, gomagyo (prayer), Ajikan (meditation), sutra reading, yoga, making Buddhist statues and Buddhist utensils, kimono dressing and devotion. It is considered to be a cooking recipe, etc. Further, the training content is stored in the content DB 50 by the provider of this service using the administrator terminal 16. Note that in this embodiment, the training content is stored using the administrator terminal 16, but this is not the only option. It may be configured to be stored as content in the content DB 50, or it may be configured to use devices or services (learning services) managed and operated by other business companies.

In addition, the content DB 50 also shows the extent to which indicators based on the user's physical health, mental health, and social health can be improved or maintained in each training content. The content score shown is also stored (see FIG. 7). This content score is set in advance by the administrator in this embodiment, but the content score is not limited to this, and the content score is calculated using a learning model that has been trained to calculate a content score when training content is input. You may.

The processing unit 42 is realized by the processor 18 reading a program from the memory 20, executing it, and cooperating with other hardware configurations. The processing unit 42 controls the entire operation of the server device 12. The processing section 42 includes a user information acquisition section 52, a state estimation section 54, a determination section 56, and a display processing section 58.

The user information acquisition unit 52 acquires information and user information used when a user performs login authentication when using this service. The information used for login authentication is, for example, information registered in advance, such as image information including the user's face obtained from the imaging device 30 of the user terminal 14, or user I of the user terminal 14. The text information is user ID information and login password obtained from /F34. The information used for login authentication is not limited to the above information, but may also be biometric information such as fingerprint authentication, or a combination thereof.

Further, the user information acquired by the user information acquisition unit 52 is at least one of the usage status of this service and various information acquired from the user terminal 14. That is, regarding the usage status of this service, past service usage information of the user is acquired. Specifically, at least one of the date and time of service use, the estimation result of the user's state at the time of use, the recommendation result of training content, and the usage status of training content is acquired.

The various information acquired from the user terminal 14 includes at least one of the usage status of the user terminal 14 and biometric information of the user acquired by the user terminal 14. That is, regarding the usage status of the user terminal 14, the usage time, usage time, usage application, registered schedule information, etc. of the user terminal 14 are acquired. On the other hand, regarding the user's biometric information, the user's facial image, voice information, and breathing information obtained by the sound collection device 32 of the user terminal 14, and the user's biometric information obtained by the posture sensor 36 of the user terminal 14 are used. The posture information of the user is estimated from the posture of the user terminal 14. When acquiring the user's voice information and breathing information, for example, a simple sutra is displayed on the user terminal 14 and the user is prompted to read it out loud, and the voice information and breathing information are acquired from the result of the user's reading. Get information.

The state estimation unit 54 obtains user state information output from the learning model 44 based on the obtained user information. This user status information includes, for example, the user's physical health status information, the user's mental health status information, and the information user's social health status information. An example of what kind of information is acquired for each item is shown below.

(Physical health condition)
The state estimation unit 54 obtains image information including the user's face, voice information, and breathing information obtained at the time of login authentication, and outputs information from the learning model 44 that has been trained to estimate the physical health state from the information. Obtain estimates of physical health status. That is, based on information such as facial expressions and complexion, tone and volume of voice, pace and depth of breathing, etc., it estimates whether the user's physical health is good or not using several levels of indicators.

(Mental health condition)
The state estimation unit 54 obtains image information including the user's face, voice information, and breathing information obtained at the time of login authentication, and outputs information from the learning model 44 trained to estimate the mental health state from the information. Obtain estimates of mental health status. That is, it estimates whether the user's mental health is good or not using several levels of indicators based on information such as facial expressions and complexion, tone and volume of voice, pace and depth of breathing, etc.

(Social health status)
The state estimation unit 54 acquires information regarding the usage status of the user terminal 14, and estimates the social health state output from the learning model 44 that has been trained to estimate the social health state of the user from the information. Get results. That is, based on information such as usage time and usage time of the user terminal 14, usage applications, registered schedule information, etc., it is estimated whether the user's social health condition is good or not using several levels of indicators.

The determining unit 56 executes matching of the training contents in the content DB 50 according to the user's state estimated by the state estimating unit 54 and the user's training level acquired from the result DB 48. Specifically, the determination unit 56 acquires the content score of each index of the training content stored in the content DB 50, and acquires each index and training level of the user estimated by the state estimation unit 54, Matching is performed by determining the training content that can fill or maintain the difference for bringing the user's indicators into a well-balanced state and is suitable for the training level. In the matching, one training content may be matched, or a plurality of training contents may be matched. Furthermore, when matching training contents, the training contents may be ranked in such a manner that more appropriate training contents have a higher priority, taking into consideration the information regarding the training contents stored in the content DB 50 and the degree of correspondence.

Further, the determination unit 56 acquires information on the usage status of the training content (details will be described later) from the user terminal 14, and determines the current level of the user as the training level based on the information. The training level is determined using an arbitrary index, and can be updated according to information on the usage status of the training content.

The display processing unit 58 uses the training content matched by the determination unit 56 as a recommendation result, the estimation result by the learning model 44 stored in the result DB 48, and the past usage status of the training content if stored. By transmitting the included results to the user terminal 14, processing for displaying the results on the user terminal 14 (see FIG. 6) is performed.

Next, the functional configuration of the user terminal 14 will be explained. FIG. 5 is a diagram showing an example of the functional configuration of the user terminal 14. As shown in FIG. As shown in FIG. 5, the user terminal 14 includes a communication section 38, a storage section 60, a processing section 62, a display section 64, and an operation section 66. Note that although the functional configuration of the user terminal 14 will be described below, the functional configuration of the administrator terminal 16 is also substantially the same as that of the user terminal 14, so a description of the administrator terminal 16 will be omitted.

The storage unit 60 is realized by the memory 20 and the storage 22. The storage unit 60 stores a training recommendation program 26 and a user information DB 68.

The user information DB 68 is a database for storing usage status of the user terminal 14. In this embodiment, as an example, usage time of the user terminal 14, usage time, usage applications, registered schedule information, etc. are stored.

The processing unit 62 is realized by the processor 18 reading a program from the memory 20, executing it, and cooperating with other hardware configurations. The processing unit 62 controls the entire operation of the user terminal 14. The processing unit 62 includes an authentication processing unit 70, a user information processing unit 72, a content usage status acquisition unit 74, and a result presentation processing unit 76.

The authentication processing unit 70 prompts the user to input information for login authentication when using this service, and processes the information to be sent to the server device 12 when the information is input.

The user information processing unit 72 processes the user information stored in the user information DB 68 at the time of logging into this service to be transmitted to the server device 12.

The result presentation processing unit 76 receives the results including the training content matching the user's condition from the server device 12, and performs a process of displaying the results on the display unit 64. In this embodiment, the result presentation processing unit 76 displays the matched training content as a recommendation to the user, as shown in FIG. In this embodiment, the result presentation processing unit 76 is configured to display the thumbnail image of the matched training content and the title of the training content, but is not limited to this, and displays only the titles of the training content in a list format. Alternatively, the content of the training content may be directly displayed.

The content usage status acquisition unit 74 acquires information on usage status in which the training content is used by the user. Information on usage status specifically includes usage time, number of views, length of time spent on training content, images of food such as Shojin ryori, images of training materials such as sutra copying, images of training in progress, etc. It is said that

The display section 64 is configured using a liquid crystal display or the like, and displays various images, characters, etc. based on the processing of the processing section 62. The operation unit 66 accepts user operations and notifies the processing unit 62 of the accepted operations. For example, the operation unit 66 receives user operations using input devices such as mechanical buttons or a touch panel provided on the surface of the display unit 64. Further, for example, the operation unit 66 may be an input device such as a mouse and a keyboard, and these input devices may be configured to be detachable from the user terminal 14.

The above functional configurations of the server device 12 and the user terminal 14 may be realized by software as described above, or may be realized by an IC chip, an SoC (System on Chip), an LSI (Large Scale Integration), a microcomputer, etc. It may also be realized by hardware.

<Flowchart>
Next, processing executed by the information processing system according to this embodiment will be described. FIG. 8 is a flowchart illustrating an example of processing executed by the information processing system. Processing based on the training recommendation program 26 according to this embodiment is performed by the processor 18 reading out the training recommendation program 26 according to the present embodiment from the memory 20 or the storage 22, loading it onto the memory 20, and executing it.

The processor 18 determines whether the user has given an instruction to start using this service (step 100). If the instruction to start use has not been given (step 100: NO), the processor 18 ends the processing based on the training recommendation program 26. On the other hand, if an instruction to start use is given (step 100: YES), the processor 18 requests login authentication and determines whether the login authentication is successful (step 102). If the login authentication fails (step 102: NO), the processor 18 moves to step 100. On the other hand, if the login authentication is successful (step 102: YES), the processor 18 acquires user information from the user terminal 14 (step 104).

The processor 18 estimates the state of the user from the user information (step 106), and matches the training content with the estimated state of the user (step 108). The processor 18 performs processing so that the matching training content is presented to the user terminal 14 (step 110).

The processor 18 determines whether the user has performed a selection operation to use the training content presented on the user terminal 14 (step 112). If no selection operation has been performed (step 112: NO), the processor 18 shifts the process to step 110. On the other hand, if the selection operation is performed (step 112: YES), the processor 18 transmits data of the training content to the user terminal 14 so that the selected training content can be used on the user terminal 14 (step 112: YES). 114).

The processor 18 acquires information on the usage status of the training content (step 116), and determines the training level based on the usage status information (step 118). Then, the processor 18 determines whether the user has performed an operation to end the use of this service (step 120). If the end operation has not been performed (step 120: NO), the processor 18 updates the user's training level and performs training content matching again based on the updated training level (step 122), and then performs step 110. Shift to processing. On the other hand, when the end operation is performed (step 120: YES), the processor 18 updates the information on the usage status of the training content and the training level of the user and stores it in the result DB 48 (step 124), and the processor 18 , the process based on the training recommendation program 26 ends.

<Actions and effects of this embodiment>
Next, the operation and effects of this embodiment will be explained.

According to this embodiment, since the training content matching the user's condition estimated based on the user information is presented to the user, the user uses the training content appropriate for his/her condition. be able to. In other words, it becomes possible to easily utilize appropriate training content that contributes to the user's well-being. Thereby, it is possible to provide services with high user satisfaction.

In addition, the server device 12 acquires as user information at least one of the usage status of a predetermined service, information acquired from a terminal used by the user, and biometric information of the user, so that the server device 12 can better understand the condition of the user. It can be estimated with high accuracy. In other words, it is possible to further improve the degree of matching of training content to users. Thereby, it is possible to provide services with higher user satisfaction.

Furthermore, when estimating user information, the server device 12 performs the estimation using indicators based on the user's physical health condition, the user's mental health condition, and the user's social health condition. . Therefore, it becomes easy to match training contents that contribute to the user's well-being. This makes it possible to provide services that contribute to the well-being of users.

Furthermore, when matching training content according to the user's condition, the server device 12 matches training content that contributes to at least one of improving and maintaining indicators, so that it provides services that further contribute to the user's well-being. can be provided.

In addition, the server device 12 acquires usage information when the training content is used by the user, and performs further training content matching based on the usage information, so that the content changes depending on the usage of the training content. Training content tailored to the user's condition can be presented to the user. In other words, the user can continuously use the training content without getting bored. This makes it possible to provide services with even higher user satisfaction.

In the embodiment described above, the various information acquired from the user terminal 14 as user information includes the usage time of the user terminal 14, usage time, usage applications, registered schedule information, etc. The information is not limited to , but may also include the user's current location information. In this case, if it is detected from the user's current location information that the user is present at a shrine or temple in the real world, it may be configured to recommend actual training provided at the shrine or temple.

Further, although the server device 12 is configured to match and recommend training content, the present invention is not limited to this, and may be configured to match and recommend content other than training or Buddhist content.

Furthermore, the server device 12 acquires information on the usage status of the training content from the user terminal 14, determines the current training level of the user based on the information, and takes into account the training level and the user's condition. Although the configuration is such that the training content is matched based on the user's condition, the configuration is not limited to this, and the configuration may be such that the training content is matched based only on the user's condition.

Furthermore, the server device 12 is configured to estimate the user's state using the learning model 44, but is not limited to this, and may also be configured to estimate the user's state based on a rule-based engine or a statistical model. good.

<Additional notes>
This embodiment includes the following disclosure.

(Additional note 1)
An information processing method executed by an information processing device, the method comprising:
a step of obtaining user information that is information about the user;
estimating the state of the user based on the user information;
matching pre-obtained content according to the state of the user;
presenting at least a portion of the content to the user;
An information processing method having

(Additional note 2)
The information processing device acquires, as the user information, at least one of usage status of a predetermined service, information acquired from a terminal used by the user, and biometric information of the user;
The information processing method described in Appendix 1.

(Additional note 3)
When estimating the user information, the information processing device uses an index based on at least one of the user's physical health condition, the user's mental health condition, and the user's social health condition. make an estimate using
The information processing method described in Supplementary Note 1 or Supplementary Note 2.

(Additional note 4)
When matching the content according to the state of the user, the information processing device matches the content that contributes to at least one of improving and maintaining the index.
The information processing method described in Appendix 3.

(Appendix 5)
The information processing device obtains usage information when the content is used by the user, and further performs matching of the content based on the usage information.
The information processing method described in Supplementary Note 1 or Supplementary Note 2.

(Appendix 6)
The information processing device obtains usage information when the content is used by the user, and further performs matching of the content based on the usage information.
The information processing method described in Supplementary Note 3 or Supplementary Note 4.

(Appendix 7)
a step of obtaining user information that is information about the user;
estimating the state of the user based on the user information;
matching pre-obtained content according to the state of the user;
presenting at least a portion of the content to the user;
A program that causes a computer to execute

The embodiments disclosed herein are illustrative in all respects and should not be considered restrictive. The scope of the present invention is indicated by the claims rather than the above-mentioned meaning, and is intended to include meanings equivalent to the claims and all changes within the scope. Furthermore, the present invention is not limited to the embodiments described above, and can be modified in various ways within the scope of the claims, and can be obtained by appropriately combining technical means disclosed in different embodiments. The embodiments are also included in the technical scope of the present invention.

12 Server device (information processing device)
14 User terminal (terminal used by the user)

Claims (7)

An information processing method executed by an information processing device, the method comprising:
a step of obtaining user information that is information about the user;
estimating the state of the user based on the user information;
matching pre-obtained content according to the state of the user;
presenting at least a portion of the content to the user;
An information processing method having The information processing device acquires, as the user information, at least one of usage status of a predetermined service, information acquired from a terminal used by the user, and biometric information of the user;
The information processing method according to claim 1. When estimating the user information, the information processing device uses an index based on at least one of the user's physical health condition, the user's mental health condition, and the user's social health condition. make an estimate using
The information processing method according to claim 1 or claim 2. When matching the content according to the state of the user, the information processing device matches the content that contributes to at least one of improving and maintaining the index.
The information processing method according to claim 3. The information processing device obtains usage information when the content is used by the user, and further performs matching of the content based on the usage information.
The information processing method according to claim 1 or claim 2. The information processing device obtains usage information when the content is used by the user, and further performs matching of the content based on the usage information.
The information processing method according to claim 3 or 4. a step of obtaining user information that is information about the user;
estimating the state of the user based on the user information;
matching pre-obtained content according to the state of the user;
presenting at least a portion of the content to the user;
A program that causes a computer to execute