system

Abstract

The system according to the embodiment aims to help seniors master smartphones and learn new knowledge and skills. [Solution] A system according to an embodiment includes an operation guide providing unit, an information collecting unit, a platform providing unit, and an event hosting unit. The operation guide providing unit provides operation guides to help seniors master smartphones. The information collecting unit collects information related to the interests of seniors based on the guides provided by the operation guide providing unit. The platform providing unit provides a system for seniors to engage in self-improvement and creative activities based on the information collected by the information collecting unit. The event hosting unit hosts events and workshops for seniors to learn new knowledge and skills based on the platform provided by the platform providing unit.

Description

[Technical Field]

[0001] The technology of the present disclosure relates to a system. [Background technology]

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] With conventional technology, seniors had difficulty using smartphones and had limited opportunities to learn new knowledge and skills.

[0005] The system according to the embodiment aims to help seniors master smartphones and learn new knowledge and skills. [Means for solving the problem]

[0006] The system according to the embodiment includes an operation guide providing unit, an information collecting unit, a platform providing unit, and an event hosting unit. The operation guide providing unit provides an operation guide for seniors to master smartphones. The information collecting unit collects information related to the interests of seniors based on the guide provided by the operation guide providing unit. The platform providing unit provides a system for seniors to engage in self-improvement and creative activities based on the information collected by the information collecting unit. The event hosting unit hosts events and workshops for seniors to learn new knowledge and skills based on the platform provided by the platform providing unit. [Effects of the Invention]

[0007] The system according to the embodiment enables seniors to master smartphones and learn new knowledge and skills. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. DETAILED DESCRIPTION OF THE INVENTION

[0009] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0010] First, the terms used in the following description will be explained.

[0011] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, the processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), or a TPU (Tensor Processing Unit).

[0012] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0013] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0014] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), and Bluetooth (registered trademark).

[0015] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0016] [First embodiment] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0017] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0019] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0020] The reception device 38 includes a touch panel 38A and a microphone 38B, and receives user input. The touch panel 38A detects contact with a pointer (for example, a pen or a finger) to receive user input by the touch of the pointer. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 (see FIG. 2) acquires the data indicating the user input.

[0021] Output device 40 includes a display 40A and a speaker 40B, and presents data to a user by outputting the data in a form of expression that the user can perceive (e.g., audio and / or text). Display 40A displays visible information such as text and images in accordance with instructions from processor 46. Speaker 40B outputs audio in accordance with instructions from processor 46. Camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0022] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0023] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0024] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0025] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0026] In the smart device 14, the specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The specific processing program 60 is used together with the specific processing program 56 by the data processing system 10. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart device 14 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0027] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device (e.g., a generation server) may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (prediction result, etc.) using the data generation model 58 by communicating with the server device having the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device owned by a user (e.g., a mobile phone, a robot, a home appliance, etc.). Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example 1) A system according to an embodiment of the present invention provides an operation guide for seniors to master smartphones, collects information related to seniors' interests, provides a platform for self-improvement and creative activities, and hosts events and workshops for learning new knowledge and skills. For example, the system provides a simple operation guide for seniors to communicate using smartphones. For example, the system uses audio guides and video tutorials to explain basic smartphone operation methods. This guide is designed so that seniors can learn at their own pace. Next, the system supports seniors in finding information related to their areas of interest. For example, the system automatically collects news and articles related to seniors' hobbies and areas of interest and displays them on the smartphone. This information serves as an opportunity for seniors to acquire new knowledge. Furthermore, the system provides a platform for seniors to engage in self-improvement and creative activities. For example, the system builds an online community where seniors can present their work and share it with other users. This platform promotes self-improvement by allowing seniors to share their achievements with others and receive feedback. Finally, the system hosts events and workshops for seniors to experience the joy of learning new knowledge and skills using smartphones. For example, the system hosts courses on how to use smartphones and seminars related to areas of interest. This allows the system to help seniors gain confidence in using smartphones, experience the joy of learning new knowledge and skills while actively communicating, and engage in self-growth and creative activities.This allows the system to help seniors gain confidence in using smartphones, experience the joy of learning new knowledge and skills while actively communicating, and engage in self-growth and creative activities.

[0029] The system according to the embodiment includes an operation guide providing unit, an information collecting unit, a platform providing unit, and an event hosting unit. The operation guide providing unit provides an operation guide for seniors to master smartphones. The operation guide providing unit provides, for example, audio guides and video tutorials. The audio guide, for example, explains basic smartphone operations in a narration format. The operation guide providing unit can also provide video tutorials. For example, it provides videos including step-by-step explanations and demonstrations. The information collecting unit collects information related to the interests of seniors. For example, the information collecting unit automatically collects related information based on the seniors' hobbies and interests. For example, it collects news and articles related to the seniors' hobbies and areas of interest and displays them on the smartphone. The platform providing unit provides a platform for seniors to engage in self-improvement and creative activities. For example, the platform providing unit provides an online community where seniors can present their work and share it with other users. For example, seniors can share their achievements with others and receive feedback. The event hosting unit hosts events and workshops where seniors can learn new knowledge and skills. The event hosting unit may host, for example, a course for learning how to use a smartphone or a seminar related to a field of interest. For example, the event hosting unit may provide a course for seniors to learn basic smartphone operations or a seminar related to a hobby. In this way, the system according to the embodiment allows seniors to master smartphones and engage in self-improvement and creative activities.

[0030] The operation guide providing unit can provide an audio guide or a video tutorial. The audio guide, for example, explains the basic operations of a smartphone in a narration format. For example, the audio guide can explain at a slow pace so that seniors can easily understand how to operate the smartphone. The audio guide can also explain how to operate the smartphone in an interactive format. For example, when a senior asks a question, the audio guide answers the question and explains how to operate the smartphone. The video tutorial, for example, provides a video including step-by-step explanations and demonstrations. For example, the video tutorial shows specific operating procedures so that seniors can visually understand how to operate the smartphone. The video tutorial also has a function that allows seniors to pause and rewind so that seniors can learn at their own pace. For example, if a senior wants to check how to operate the smartphone, they can pause the video and check the details. This allows seniors to learn at their own pace.

[0031] The information collection unit can automatically collect related information based on the senior's hobbies or interests. The information collection unit automatically collects related information based on, for example, the senior's hobbies and interests. For example, the information collection unit can collect related information based on keywords searched for by the senior in the past or articles viewed by the senior. The information collection unit can also collect information related to the senior's hobbies and interests based on the senior's responses to a questionnaire. For example, if the senior answers that they are interested in "gardening" in the questionnaire, the information collection unit can collect news and articles related to gardening and display them on the smartphone. Furthermore, the information collection unit can analyze the senior's past behavioral history and collect information related to their areas of interest. For example, related information can be collected based on the usage history of websites and apps that the senior frequently visits. This allows the senior to find information related to their areas of interest.

[0032] The platform providing unit may provide an online community where seniors can present their creations and share them with other users. The online community is, for example, a platform where seniors can present their creations and share them with other users. For example, seniors can post artwork or handicrafts they have created to the online community and receive feedback from other users. The online community may also provide forums or chat rooms where seniors can interact with other users. For example, seniors can exchange information with other users who share their hobbies or interests. Furthermore, the online community has a function that allows seniors to share their achievements with others and receive feedback, thereby promoting self-improvement. For example, seniors can receive evaluations and comments from other users on their creations and improve their creations based on those evaluations and comments. This allows seniors to engage in self-improvement and creative activities.

[0033] The event hosting department can hold courses for learning how to use smartphones and seminars related to fields of interest. The event hosting department can hold courses for learning how to use smartphones, for example. For example, it can provide courses for seniors to learn the basic operations of smartphones. The event hosting department can also hold seminars related to fields of interest to seniors. For example, it can hold seminars in which experts related to the hobbies and fields of interest of seniors are invited to give lectures. Furthermore, the event hosting department can also hold hands-on workshops for seniors to learn new knowledge and skills. For example, it can provide workshops in which seniors can learn by actually operating smartphones. This allows seniors to experience the fun of learning new knowledge and skills.

[0034] The operation guide providing unit can analyze the senior's past operation history and customize appropriate guide content. The operation guide providing unit, for example, provides a guide that focuses on explaining functions that the senior has frequently used in the past. For example, the operation method is explained in detail based on apps and functions that the senior has frequently used in the past. The operation guide providing unit can also provide a guide that focuses on parts that the senior has had difficulty operating in the past. For example, the operation method is explained in detail based on functions or settings that the senior has had difficulty operating in the past. Furthermore, the operation guide providing unit can predict functions that will be used during specific time periods from the senior's past operation history and provide a guide related to those functions. For example, the operation method is explained in detail based on apps and functions that the senior has frequently used in specific time periods. This makes it possible to provide optimal guides based on the senior's past operation history.

[0035] The operation guide providing unit can adjust the level of detail of the guide based on the senior's current skill level. For example, if the senior is a beginner, the operation guide providing unit can provide a guide that explains basic operation methods in detail. For example, a guide can be provided to help the senior learn basic smartphone operations, showing specific operation procedures. Furthermore, if the senior is an intermediate user, the operation guide providing unit can provide a guide that explains advanced operation methods. For example, a guide can be provided to help the senior learn how to set up and customize a smartphone. Furthermore, if the senior is an advanced user, the operation guide providing unit can provide a guide that explains specialized operation methods. For example, a guide can be provided to help the senior learn how to use advanced smartphone functions and apps. This makes it possible to provide an optimal guide according to the senior's skill level. The skill level can be evaluated based on, for example, test results or self-assessment. For example, the senior can take a simple test at the beginning of the operation guide, and the skill level can be evaluated based on the test results. Alternatively, the senior can perform self-assessment, and the skill level can be evaluated based on the self-assessment results.

[0036] The operation guide providing unit can update the guide content based on feedback from the senior when providing the operation guide. For example, if a senior is dissatisfied with the guide content, the operation guide providing unit improves the guide content by reflecting the feedback. For example, if a senior finds the content of the operation guide difficult, the operation guide providing unit simplifies the content to make it easier for the senior to understand. Furthermore, if a senior is satisfied with the guide content, the operation guide providing unit can provide a similar guide to other seniors based on the feedback. For example, if a senior is satisfied with the content of the operation guide, the operation guide providing unit can provide that content to other seniors, thereby achieving similar satisfaction. Furthermore, if a senior makes a suggestion regarding the guide content, the operation guide providing unit can update the guide content by reflecting the suggestion. For example, if a senior suggests adding an explanation of a new function to the operation guide, the operation guide providing unit updates the guide content by reflecting the suggestion. This makes it possible to provide an optimal guide based on the senior's feedback.

[0037] When providing an operation guide, the operation guide providing unit can provide region-specific information based on the senior's geographical location information. The operation guide providing unit can provide, for example, a guide explaining operation methods and settings specific to the region where the senior lives. For example, a guide explaining how to operate apps and services specific to the region where the senior lives can be provided. Furthermore, if the senior is traveling, the operation guide providing unit can provide a guide explaining operation methods and settings specific to the region. For example, a guide explaining how to operate apps and services the senior will use at their travel destination can be provided. Furthermore, if the senior has moved, the operation guide providing unit can provide a guide explaining operation methods and settings specific to their new region. For example, a guide explaining how to operate apps and services the senior will use in their new region can be provided. This makes it possible to provide optimal guidance based on the senior's geographical location information. Geographical location information can be collected based on, for example, GPS data and address information. For example, the current location can be identified using GPS data from the senior's smartphone, and information related to the region can be provided. Furthermore, if the senior inputs their address information, information related to the region can be provided.

[0038] The operation guide providing unit can analyze the social media activity of seniors and provide related guides when providing operation guides. The operation guide providing unit, for example, provides a guide that focuses on functions frequently used by seniors on social media. For example, it provides detailed explanations on how to operate posting and messaging functions that seniors frequently use on social media. The operation guide providing unit can also provide a guide that focuses on aspects of social media that seniors find difficult. For example, it provides detailed explanations on how to operate privacy settings and account management functions that seniors find difficult on social media. Furthermore, the operation guide providing unit can predict functions that seniors will use at specific times based on the seniors' social media activity and provide guides related to those functions. For example, it provides detailed explanations on how to operate social media functions that seniors frequently use at specific times. This makes it possible to provide optimal guides based on the seniors' social media activity. Social media activity analysis is performed based on, for example, the content of posts, the number of likes, the number of followers, etc. For example, it is possible to analyze the content of seniors' social media posts and provide information related to their interests. It is also possible to identify popular posts and accounts based on the number of likes and followers of seniors and provide information about them.

[0039] The operation guide providing unit can customize the guide content based on the senior's past feedback when providing the operation guide. The operation guide providing unit customizes the guide content based on, for example, feedback provided by the senior in the past. For example, if a senior was dissatisfied with the content of the operation guide in the past, the operation guide providing unit improves the guide content by reflecting that feedback. The operation guide providing unit can also provide a similar guide to other seniors based on guide content that the senior was satisfied with in the past. For example, if a senior was satisfied with the content of the operation guide in the past, the operation guide providing unit can provide that content to other seniors to achieve similar satisfaction. Furthermore, the operation guide providing unit can update the guide content by reflecting content previously suggested by the senior. For example, if a senior suggests adding an explanation of a new function to the operation guide, the operation guide content is updated to reflect that suggestion. This makes it possible to provide an optimal guide based on the senior's past feedback. Feedback is collected based on, for example, questionnaires, comments, ratings, etc. For example, a senior can answer a questionnaire after using the operation guide, and the guide content can be improved based on the results. Furthermore, a senior can comment on or rate the operation guide, and the guide content can be updated by reflecting that feedback.

[0040] When collecting information, the information collecting unit can analyze the senior's past search history and collect appropriate information. The information collecting unit, for example, collects related information based on keywords that the senior has searched for in the past. For example, the information collecting unit analyzes keywords that the senior has searched for in the past and collects news and articles related to those keywords. The information collecting unit can also collect related information based on articles that the senior has viewed in the past. For example, the information collecting unit analyzes articles that the senior has viewed in the past and collects news and articles related to those articles. Furthermore, the information collecting unit can predict information that the senior will be interested in during a specific time period from the senior's past search history and collect that information. For example, based on keywords that the senior frequently searches for during a specific time period, information related to that time period is collected. This makes it possible to provide optimal information based on the senior's past search history. The search history is analyzed based on, for example, search keywords and search frequency. For example, keywords that the senior has searched for in the past can be analyzed and information related to those keywords can be provided. Related information can also be provided based on the frequency of searches by the senior in the past.

[0041] The information collecting unit can filter information based on the senior's current areas of interest when collecting information. For example, the information collecting unit prioritizes collecting information related to areas in which the senior is currently interested. For example, it collects news and articles related to areas in which the senior is currently interested and provides the information to the senior. The information collecting unit can also filter and display information related to areas in which the senior is currently interested. For example, it filters information related to areas in which the senior is currently interested and prioritizes displaying information that is important to the senior. Furthermore, the information collecting unit can automatically collect related information based on the senior's current areas of interest. For example, it automatically collects related information based on keywords related to the senior's current areas of interest and provides it to the senior. This makes it possible to provide optimal information based on the senior's current areas of interest. The definition and collection method of areas of interest are based on, for example, a questionnaire or past behavioral history. For example, the senior can answer a questionnaire and identify the area of ​​interest based on the results. The senior's past behavioral history can also be analyzed and the area of ​​interest can be identified based on the results.

[0042] The information collecting unit can improve the information collection method based on feedback from seniors when collecting information. The information collecting unit improves the information collection method based on, for example, feedback provided by seniors. For example, if a senior is dissatisfied with an information collection method, the information collecting unit improves the collection method by reflecting that feedback. The information collecting unit can also provide a similar information collection method to other seniors based on an information collection method that satisfied a senior. For example, if a senior is satisfied with an information collection method, the information collecting unit can provide that method to other seniors and achieve similar satisfaction. Furthermore, the information collecting unit can update the information collection method by reflecting suggestions made by seniors. For example, if a senior suggests adding a new function to the information collection method, the information collecting unit updates the collection method by reflecting that suggestion. This makes it possible to provide an optimal information collection method based on senior feedback. Feedback can be collected based on, for example, questionnaires, comments, evaluations, etc. For example, seniors can answer questionnaires after using an information collection method, and the collection method can be improved based on the results. Furthermore, seniors can comment on or evaluate the information collection method, and the information collection method can be updated by reflecting that feedback.

[0043] When collecting information, the information collection unit can prioritize collecting highly relevant information based on the senior's geographical location information. For example, the information collection unit prioritizes collecting information specific to the area where the senior lives. For example, it collects news and event information for the area where the senior lives and provides it to the senior. In addition, when the senior is traveling, the information collection unit can prioritize collecting information specific to that area. For example, it collects tourist information and transportation information for the senior's travel destination and provides it to the senior. Furthermore, when the senior moves, the information collection unit can prioritize collecting information specific to the new area. For example, it collects information on lifestyle and local services in the senior's new area and provides it to the senior. This makes it possible to provide optimal information based on the senior's geographical location information. Geographical location information is collected based on, for example, GPS data and address information. For example, the current location can be identified using GPS data from the senior's smartphone, and information related to that area can be provided. In addition, if the senior enters their address information, information related to that area can be provided.

[0044] When collecting information, the information collection unit can analyze the social media activities of seniors and collect related information. For example, the information collection unit collects related information based on keywords frequently used by seniors on social media. For example, the information collection unit analyzes keywords frequently used by seniors on social media and collects news and articles related to those keywords. The information collection unit can also collect related information based on areas in which seniors have difficulty using social media. For example, the information collection unit collects information related to privacy settings and account management, which seniors have difficulty with on social media. Furthermore, the information collection unit can predict information that seniors will be interested in at a specific time period from the social media activities of seniors and collect that information. For example, based on social media functions that seniors frequently use at a specific time period, the information collection unit collects information related to that time period. This makes it possible to provide optimal information based on the social media activities of seniors. Social media activity analysis is performed based on, for example, the content of posts, the number of likes, the number of followers, etc. For example, the content of social media posts of seniors can be analyzed to provide information related to their interests. Popular posts and accounts can also be identified based on the number of likes and followers of seniors, and that information can be provided.

[0045] The information collecting unit can customize the information collection method based on the senior's past feedback when collecting information. The information collecting unit customizes the information collection method based on, for example, feedback provided by the senior in the past. For example, if a senior was dissatisfied with an information collection method in the past, the information collecting unit improves the information collection method by reflecting that feedback. The information collecting unit can also provide a similar information collection method to other seniors based on an information collection method that the senior was satisfied with in the past. For example, if a senior was satisfied with an information collection method in the past, the information collecting unit can provide that method to other seniors and achieve similar satisfaction. Furthermore, the information collecting unit can update the information collection method by reflecting suggestions made by the senior in the past. For example, if a senior suggests adding a new function to the information collection method, the information collecting unit updates the collection method by reflecting that suggestion. This makes it possible to provide an optimal information collection method based on the senior's past feedback. Feedback can be collected based on, for example, questionnaires, comments, ratings, etc. For example, a senior can respond to a questionnaire after using an information collection method, and the collection method can be improved based on the results. The information collecting unit can also update the information collection method by reflecting feedback made by a senior on the information collection method.

[0046] When providing the platform, the platform providing unit can analyze the senior's past activity history and provide appropriate platform content. For example, the platform providing unit provides a platform that focuses on providing functions that the senior has frequently used in the past. For example, based on apps and functions that the senior has frequently used in the past, the platform providing unit can provide detailed explanations of how to use them. The platform providing unit can also provide a platform that focuses on parts that the senior has had difficulty with in the past. For example, based on functions or settings that the senior has had difficulty using in the past, the platform providing unit can provide detailed explanations of how to use them. Furthermore, the platform providing unit can predict functions that the senior will use during a specific time period based on the senior's past activity history and provide those functions. For example, based on apps and functions that the senior frequently uses during a specific time period, the platform providing unit can provide detailed explanations of how to use them. This makes it possible to provide an optimal platform based on the senior's past activity history. The activity history can be analyzed based on, for example, log data and frequency of use. For example, log data of apps and functions that the senior has used in the past can be analyzed, and the platform content can be customized based on the results. Related information can also be provided based on the frequency of functions that the senior has used in the past.

[0047] The platform providing unit can customize the platform functions based on the senior's current skill level when providing the platform. For example, if the senior is a beginner, the platform providing unit provides a platform that provides basic functions. For example, the platform providing unit provides a platform for the senior to learn basic smartphone operations and provides specific operating procedures. Furthermore, if the senior is an intermediate user, the platform providing unit can provide a platform that provides applied functions. For example, the platform providing unit provides a platform for the senior to learn how to set up and customize a smartphone. Furthermore, if the senior is an advanced user, the platform providing unit can provide a platform that provides specialized functions. For example, the platform providing unit provides a platform for the senior to learn how to use advanced smartphone functions and apps. This makes it possible to provide an optimal platform according to the senior's skill level. The skill level can be evaluated based on, for example, test results or self-assessment. For example, the senior can take a simple test at the beginning of the platform, and the skill level can be evaluated based on the test results. Alternatively, the senior can perform a self-assessment and the skill level can be evaluated based on the results.

[0048] The platform providing unit can update the platform content based on the seniors' feedback when providing the platform. The platform providing unit, for example, improves the platform content based on the feedback provided by the seniors. For example, if a senior is dissatisfied with the platform content, the platform providing unit improves the content by reflecting that feedback. The platform providing unit can also provide similar content to other seniors based on the platform content that the seniors are satisfied with. For example, if a senior is satisfied with the platform content, the platform providing unit can provide that content to other seniors, thereby achieving similar satisfaction. The platform providing unit can also update the platform content by reflecting suggestions made by the seniors. For example, if a senior suggests adding a new function to the platform, the platform content is updated by reflecting that suggestion. This makes it possible to provide an optimal platform based on the seniors' feedback. Feedback can be collected, for example, based on surveys, comments, ratings, etc. For example, seniors can answer surveys after using the platform, and the content can be improved based on the results. Furthermore, seniors can comment on or rate the platform, and the content can be updated by reflecting that feedback.

[0049] When providing the platform, the platform providing unit can provide region-specific functions based on the senior's geographical location information. The platform providing unit, for example, provides a platform that provides functions and services specific to the region where the senior lives. For example, it can provide a platform that provides apps and services specific to the region where the senior lives. Furthermore, when the senior is traveling, the platform providing unit can provide a platform that provides functions and services specific to the region. For example, it can provide a platform that provides apps and services that the senior uses at their travel destination. Furthermore, when the senior moves, the platform providing unit can provide a platform that provides functions and services specific to the new region. For example, it can provide a platform that provides apps and services that the senior uses in their new region. This makes it possible to provide an optimal platform based on the senior's geographical location information. Geographical location information can be collected based on, for example, GPS data or address information. For example, it is possible to identify the current location using GPS data from the senior's smartphone and provide information related to the region. It is also possible for the senior to input address information to provide information related to the region.

[0050] The platform providing unit may analyze a senior's social media activity and provide related functions when providing the platform. For example, the platform providing unit may provide a platform that focuses on providing functions frequently used by seniors on social media. For example, the platform providing unit may provide detailed instructions on how to use posting and messaging functions that seniors frequently use on social media. The platform providing unit may also provide a platform that focuses on areas where seniors have difficulty using social media. For example, the platform providing unit may provide detailed instructions on how to use privacy settings and account management functions that seniors have difficulty using on social media. Furthermore, the platform providing unit may predict functions that seniors will use at specific times based on the senior's social media activity and provide those functions. For example, the platform providing unit may provide detailed instructions on how to use those functions based on social media functions that seniors frequently use at specific times. This makes it possible to provide an optimal platform based on the senior's social media activity. Social media activity may be analyzed based on, for example, the content of posts, the number of likes, the number of followers, etc. For example, the content of a senior's social media posts may be analyzed to provide information related to the senior's interests. Popular posts and accounts may also be identified based on the number of likes and followers of the senior, and information about them may be provided.

[0051] The platform providing unit can customize the platform content based on the seniors' past feedback when providing the platform. The platform providing unit customizes the platform content based on, for example, feedback provided by the seniors in the past. For example, if a senior has previously been dissatisfied with the platform content, the platform providing unit can improve the content by reflecting that feedback. The platform providing unit can also provide similar content to other seniors based on platform content that the seniors were previously satisfied with. For example, if a senior was previously satisfied with the platform content, the platform providing unit can provide that content to other seniors, thereby achieving similar satisfaction. Furthermore, the platform providing unit can update the platform content by reflecting suggestions made by the seniors in the past. For example, if a senior suggests adding a new function to the platform, the platform content can be updated by reflecting that suggestion. This makes it possible to provide an optimal platform based on the seniors' past feedback. Feedback can be collected based on, for example, surveys, comments, ratings, etc. For example, seniors can respond to surveys after using the platform, and the content can be improved based on the results. Furthermore, seniors can provide comments and ratings on the platform, and the content can be updated by reflecting that feedback.

[0052] The event hosting unit can analyze a senior's past participation history when hosting an event and provide appropriate event content. The event hosting unit can, for example, provide related events based on the content of events that the senior has previously participated in. For example, the event hosting unit can analyze the content of events that the senior has previously participated in and provide events related to that content. The event hosting unit can also provide optimal event content based on feedback from events that the senior has previously participated in. For example, the event hosting unit can analyze feedback from events that the senior has previously participated in and improve the event content based on that feedback. Furthermore, the event hosting unit can predict events that the senior will be interested in during a specific time period from the senior's past participation history and provide those events. For example, based on events that the senior frequently participates in during a specific time period, the event hosting unit can provide events related to that time period. This makes it possible to provide optimal events based on the senior's past participation history. The analysis of participation history can be performed based on, for example, event participation records and survey results. For example, the event content can be customized based on the analysis results of events that the senior has previously participated in. Furthermore, related events can be provided based on the results of a survey that the senior answers after participating in an event.

[0053] The event hosting unit can select an event theme based on the senior's current area of ​​interest when hosting an event. The event hosting unit, for example, provides an event related to the senior's current area of ​​interest. For example, the event hosting unit selects a theme related to the senior's current area of ​​interest and hosts the event based on that theme. The event hosting unit can also select an event theme based on information related to the senior's current area of ​​interest. For example, the event hosting unit analyzes news and articles related to the senior's current area of ​​interest and selects an event theme based on that information. Furthermore, the event hosting unit can automatically provide related events based on the senior's current area of ​​interest. For example, related events are automatically provided based on keywords related to the senior's current area of ​​interest. This makes it possible to provide the most appropriate event based on the senior's current area of ​​interest. The method of defining and collecting the area of ​​interest is, for example, based on a questionnaire or past behavioral history. For example, the senior can answer a questionnaire and identify the area of ​​interest based on the results. The senior's past behavioral history can also be analyzed and the area of ​​interest can be identified based on the results.

[0054] The event hosting unit can update the event content based on feedback from seniors when hosting an event. The event hosting unit improves the event content based on, for example, feedback provided by seniors. For example, if a senior is dissatisfied with the event content, the event content is improved by reflecting that feedback. The event hosting unit can also provide similar content to other seniors based on event content that satisfied a senior. For example, if a senior is satisfied with the event content, the event hosting unit can provide that content to other seniors, thereby achieving similar satisfaction. The event hosting unit can also update the event content by reflecting suggestions made by seniors. For example, if a senior suggests adding a new activity to the event, the event content is updated by reflecting that suggestion. This makes it possible to provide an optimal event based on senior feedback. Feedback can be collected based on, for example, surveys, comments, ratings, etc. For example, seniors can respond to surveys after participating in an event, and the content can be improved based on the results. Furthermore, if seniors provide comments or ratings on the event, the content can be updated by reflecting that feedback.

[0055] When an event is held, the event hosting unit can host a region-specific event based on the senior's geographical location information. The event hosting unit, for example, provides events specific to the region where the senior lives. For example, it can provide cultural events or local activities specific to the region where the senior lives. In addition, if the senior is traveling, the event hosting unit can provide events specific to that region. For example, it can provide tourist events or local festivals at the senior's travel destination. Furthermore, if the senior has moved, the event hosting unit can provide events specific to the new region. For example, it can provide community events or local activities in the senior's new region. This makes it possible to provide the most suitable event based on the senior's geographical location information. Geographical location information is collected based on, for example, GPS data or address information. For example, it is possible to identify the current location using GPS data from the senior's smartphone and provide information related to that region. In addition, it is possible to provide information related to the region by having the senior input address information.

[0056] The event hosting unit can analyze the social media activity of seniors when hosting an event and suggest related events. For example, the event hosting unit can provide related events based on keywords frequently used by seniors on social media. For example, the event hosting unit can analyze keywords frequently used by seniors on social media and provide events related to those keywords. The event hosting unit can also provide related events based on areas in which seniors have difficulty using social media. For example, the event hosting unit can provide events related to privacy settings and account management, which seniors have difficulty with on social media. Furthermore, the event hosting unit can predict events that seniors will be interested in during a specific time period from the seniors' social media activity and provide those events. For example, the event hosting unit can provide events related to that time period based on social media functions that seniors frequently use during that time period. This makes it possible to provide optimal events based on the seniors' social media activity. Social media activity analysis can be performed based on, for example, the content of posts, the number of likes, the number of followers, etc. For example, the content of seniors' social media posts can be analyzed to provide information related to their interests. Popular posts and accounts can also be identified based on the number of likes and followers of seniors, and information about them can be provided.

[0057] The event hosting unit can customize the event content based on the senior's past feedback when hosting an event. The event hosting unit customizes the event content based on, for example, feedback provided by the senior in the past. For example, if a senior was dissatisfied with the event content in the past, the event hosting unit improves the content by reflecting that feedback. The event hosting unit can also provide similar content to other seniors based on event content that the senior was satisfied with in the past. For example, if a senior was satisfied with the event content in the past, the event hosting unit can provide that content to other seniors and achieve similar satisfaction. Furthermore, the event hosting unit can update the event content by reflecting content previously suggested by the senior. For example, if a senior suggests adding a new activity to the event, the event content is updated by reflecting that suggestion. This makes it possible to provide an optimal event based on the senior's past feedback. Feedback can be collected based on, for example, questionnaires, comments, ratings, etc. For example, a senior can respond to a questionnaire after participating in an event, and the content can be improved based on the results. Furthermore, if a senior provides comments or ratings on the event, the event content can be updated by reflecting that feedback.

[0058] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0059] The operation guide providing unit can analyze the senior's past operation history and customize appropriate guide content. For example, a guide that focuses on explaining functions that the senior has used frequently in the past can be provided. For example, the operation method can be explained in detail based on apps and functions that the senior has used frequently in the past. The operation guide providing unit can also provide a guide that focuses on parts that the senior has had difficulty operating in the past. For example, the operation method can be explained in detail based on functions or settings that the senior has had difficulty operating in the past. Furthermore, the operation guide providing unit can predict functions that will be used during specific time periods from the senior's past operation history and provide guide information about those functions. For example, the operation method can be explained in detail based on apps and functions that the senior has used frequently in specific time periods. This makes it possible to provide optimal guide information based on the senior's past operation history.

[0060] The operation guide providing unit can adjust the level of detail of the guide based on the senior's current skill level. For example, if the senior is a beginner, a guide explaining basic operation methods in detail is provided. For example, a guide is provided for the senior to learn basic smartphone operations, showing specific operation procedures. Furthermore, if the senior is an intermediate user, the operation guide providing unit can also provide a guide explaining advanced operation methods. For example, a guide is provided for the senior to learn how to set up and customize a smartphone. Furthermore, if the senior is an advanced user, the operation guide providing unit can also provide a guide explaining specialized operation methods. For example, a guide is provided for the senior to learn how to use advanced smartphone functions and apps. This makes it possible to provide an optimal guide according to the senior's skill level. The skill level can be evaluated based on, for example, test results or self-assessment. For example, the senior can take a simple test at the beginning of the operation guide, and the skill level can be evaluated based on the test results. Alternatively, the senior can perform self-assessment, and the skill level can be evaluated based on the self-assessment results.

[0061] When collecting information, the information collection unit can analyze the senior's past search history and collect appropriate information. For example, related information is collected based on keywords that the senior has searched for in the past. For example, keywords that the senior has searched for in the past can be analyzed to collect news and articles related to those keywords. The information collection unit can also collect related information based on articles that the senior has viewed in the past. For example, articles that the senior has viewed in the past can be analyzed to collect news and articles related to those articles. Furthermore, the information collection unit can predict information that the senior will be interested in during a specific time period from the senior's past search history and collect that information. For example, information related to that time period can be collected based on keywords that the senior frequently searches for during that time period. This makes it possible to provide optimal information based on the senior's past search history. Search history analysis is performed based on, for example, search keywords and search frequency. For example, keywords that the senior has searched for in the past can be analyzed to provide information related to those keywords. Related information can also be provided based on the frequency of searches by the senior in the past.

[0062] When providing the platform, the platform providing unit can analyze the senior's past activity history and provide appropriate platform content. For example, the platform providing unit can provide a platform that focuses on providing functions that the senior has frequently used in the past. For example, the platform providing unit can provide detailed explanations of how to use apps and functions that the senior has frequently used in the past. The platform providing unit can also provide a platform that focuses on parts that the senior has had difficulty with in the past. For example, the platform providing unit can provide detailed explanations of how to use functions and settings that the senior has had difficulty using in the past. Furthermore, the platform providing unit can predict functions that the senior will use during a specific time period based on the senior's past activity history and provide those functions. For example, the platform providing unit can provide detailed explanations of how to use apps and functions that the senior frequently uses during a specific time period. This makes it possible to provide an optimal platform based on the senior's past activity history. The activity history can be analyzed based on, for example, log data and frequency of use. For example, the platform content can be customized based on the results of analyzing log data of apps and functions that the senior has used in the past. Related information can also be provided based on the frequency of functions that the senior has used in the past.

[0063] When hosting an event, the event hosting unit can analyze a senior's past participation history and provide appropriate event content. For example, related events can be provided based on the content of events that the senior has previously participated in. For example, the event hosting unit can analyze the content of events that the senior has previously participated in and provide events related to that content. The event hosting unit can also provide optimal event content based on feedback from events that the senior has previously participated in. For example, the event hosting unit can analyze feedback from events that the senior has previously participated in and improve the event content based on that feedback. Furthermore, the event hosting unit can predict events that the senior will be interested in during a specific time period from the senior's past participation history and provide those events. For example, based on events that the senior frequently participates in during a specific time period, the event hosting unit can provide events related to that time period. This makes it possible to provide optimal events based on the senior's past participation history. The analysis of participation history can be performed based on, for example, event participation records and survey results. For example, the event content can be customized based on the analysis results of events that the senior has previously participated in. Furthermore, related events can be provided based on the results of a survey that the senior answers after participating in an event.

[0064] When hosting an event, the event hosting unit can select a theme for the event based on the senior's current area of ​​interest. For example, the event hosting unit provides an event related to the senior's current area of ​​interest. For example, the event hosting unit selects a theme related to the senior's current area of ​​interest and hosts the event based on that theme. The event hosting unit can also select a theme for the event based on information related to the senior's current area of ​​interest. For example, the event hosting unit analyzes news and articles related to the senior's current area of ​​interest and selects an event theme based on that information. Furthermore, the event hosting unit can automatically provide related events based on the senior's current area of ​​interest. For example, related events are automatically provided based on keywords related to the senior's current area of ​​interest. This makes it possible to provide the most appropriate event based on the senior's current area of ​​interest. The method of defining and collecting the area of ​​interest is based on, for example, a questionnaire or past behavioral history. For example, the senior can answer a questionnaire and identify the area of ​​interest based on the results. The event hosting unit can also analyze the senior's past behavioral history and identify the area of ​​interest based on the results.

[0065] The processing flow of the first embodiment will be briefly explained below.

[0066] Step 1: The operation guide provider provides operation guides to help seniors master smartphones. Specifically, it provides audio guides and video tutorials that narrate basic smartphone operations. It also provides videos that include step-by-step explanations and demonstrations. Step 2: The information collection unit collects information related to the senior's interests based on the guide provided by the operation guide provision unit. Specifically, it automatically collects related information based on the senior's hobbies and interests and displays news and articles on the smartphone. Step 3: The platform provider provides a system for seniors to engage in self-improvement and creative activities based on the information collected by the information collector. Specifically, it provides an online community where seniors can present their work, share it with other users, and receive feedback. Step 4: The Event Organizing Department will use the platform provided by the Platform Provider to organize events and workshops for seniors to learn new knowledge and skills. Specifically, they will hold courses on how to use smartphones and seminars related to areas of interest.

[0067] (Example 2) A system according to an embodiment of the present invention provides an operation guide for seniors to master smartphones, collects information related to seniors' interests, provides a platform for self-improvement and creative activities, and hosts events and workshops for learning new knowledge and skills. For example, the system provides a simple operation guide for seniors to communicate using smartphones. For example, the system uses audio guides and video tutorials to explain basic smartphone operation methods. This guide is designed so that seniors can learn at their own pace. Next, the system supports seniors in finding information related to their areas of interest. For example, the system automatically collects news and articles related to seniors' hobbies and areas of interest and displays them on the smartphone. This information serves as an opportunity for seniors to acquire new knowledge. Furthermore, the system provides a platform for seniors to engage in self-improvement and creative activities. For example, the system builds an online community where seniors can present their work and share it with other users. This platform promotes self-improvement by allowing seniors to share their achievements with others and receive feedback. Finally, the system hosts events and workshops for seniors to experience the joy of learning new knowledge and skills using smartphones. For example, the system hosts courses on how to use smartphones and seminars related to areas of interest. This allows the system to help seniors gain confidence in using smartphones, experience the joy of learning new knowledge and skills while actively communicating, and engage in self-growth and creative activities.This allows the system to help seniors gain confidence in using smartphones, experience the joy of learning new knowledge and skills while actively communicating, and engage in self-growth and creative activities.

[0068] The system according to the embodiment includes an operation guide providing unit, an information collecting unit, a platform providing unit, and an event hosting unit. The operation guide providing unit provides an operation guide for seniors to master smartphones. The operation guide providing unit provides, for example, audio guides and video tutorials. The audio guide, for example, explains basic smartphone operations in a narration format. The operation guide providing unit can also provide video tutorials. For example, it provides videos including step-by-step explanations and demonstrations. The information collecting unit collects information related to the interests of seniors. For example, the information collecting unit automatically collects related information based on the seniors' hobbies and interests. For example, it collects news and articles related to the seniors' hobbies and areas of interest and displays them on the smartphone. The platform providing unit provides a platform for seniors to engage in self-improvement and creative activities. For example, the platform providing unit provides an online community where seniors can present their work and share it with other users. For example, seniors can share their achievements with others and receive feedback. The event hosting unit hosts events and workshops where seniors can learn new knowledge and skills. The event hosting unit may host, for example, a course for learning how to use a smartphone or a seminar related to a field of interest. For example, the event hosting unit may provide a course for seniors to learn basic smartphone operations or a seminar related to a hobby. In this way, the system according to the embodiment allows seniors to master smartphones and engage in self-improvement and creative activities.

[0069] The operation guide providing unit can provide an audio guide or a video tutorial. The audio guide, for example, explains the basic operations of a smartphone in a narration format. For example, the audio guide can explain at a slow pace so that seniors can easily understand how to operate the smartphone. The audio guide can also explain how to operate the smartphone in an interactive format. For example, when a senior asks a question, the audio guide answers the question and explains how to operate the smartphone. The video tutorial, for example, provides a video including step-by-step explanations and demonstrations. For example, the video tutorial shows specific operating procedures so that seniors can visually understand how to operate the smartphone. The video tutorial also has a function that allows seniors to pause and rewind so that seniors can learn at their own pace. For example, if a senior wants to check how to operate the smartphone, they can pause the video and check the details. This allows seniors to learn at their own pace.

[0070] The information collection unit can automatically collect related information based on the senior's hobbies or interests. The information collection unit automatically collects related information based on, for example, the senior's hobbies and interests. For example, the information collection unit can collect related information based on keywords searched for by the senior in the past or articles viewed by the senior. The information collection unit can also collect information related to the senior's hobbies and interests based on the senior's responses to a questionnaire. For example, if the senior answers that they are interested in "gardening" in the questionnaire, the information collection unit can collect news and articles related to gardening and display them on the smartphone. Furthermore, the information collection unit can analyze the senior's past behavioral history and collect information related to their areas of interest. For example, related information can be collected based on the usage history of websites and apps that the senior frequently visits. This allows the senior to find information related to their areas of interest.

[0071] The platform providing unit may provide an online community where seniors can present their creations and share them with other users. The online community is, for example, a platform where seniors can present their creations and share them with other users. For example, seniors can post artwork or handicrafts they have created to the online community and receive feedback from other users. The online community may also provide forums or chat rooms where seniors can interact with other users. For example, seniors can exchange information with other users who share their hobbies or interests. Furthermore, the online community has a function that allows seniors to share their achievements with others and receive feedback, thereby promoting self-improvement. For example, seniors can receive evaluations and comments from other users on their creations and improve their creations based on those evaluations and comments. This allows seniors to engage in self-improvement and creative activities.

[0072] The event hosting department can hold courses for learning how to use smartphones and seminars related to fields of interest. The event hosting department can hold courses for learning how to use smartphones, for example. For example, it can provide courses for seniors to learn the basic operations of smartphones. The event hosting department can also hold seminars related to fields of interest to seniors. For example, it can hold seminars in which experts related to the hobbies and fields of interest of seniors are invited to give lectures. Furthermore, the event hosting department can also hold hands-on workshops for seniors to learn new knowledge and skills. For example, it can provide workshops in which seniors can learn by actually operating smartphones. This allows seniors to experience the fun of learning new knowledge and skills.

[0073] The operation guide providing unit can analyze the senior's emotions and adjust the content and pace of the operation guide based on the analyzed emotions. For example, if the senior is feeling anxious, the operation guide providing unit can simplify the content of the operation guide and explain it at a slower pace. For example, if the senior is having difficulty operating the device, the operation guide providing unit can explain basic operation methods in detail to make it easier for the senior to understand. Furthermore, if the senior is excited, the operation guide providing unit can provide detailed content of the operation guide and proceed at a faster pace. For example, if the senior is interested in a new function, the operation guide providing unit can provide a detailed explanation of that function so that the senior can learn quickly. Furthermore, if the senior is relaxed, the operation guide providing unit can provide the content of the operation guide at a standard pace. For example, if the senior is familiar with operations, the operation guide providing unit can explain operation methods at a standard pace so that the senior can learn at their own pace. This allows the operation guide to be optimally tailored to the senior's emotions. Emotion estimation is achieved using an emotion estimation function, for example, an emotion engine or generative AI. The generation AI may be a text generation AI (e.g., LLM) or a multimodal generation AI, but is not limited to such examples.

[0074] The operation guide providing unit can analyze the senior's past operation history and customize appropriate guide content. The operation guide providing unit, for example, provides a guide that focuses on explaining functions that the senior has frequently used in the past. For example, the operation method is explained in detail based on apps and functions that the senior has frequently used in the past. The operation guide providing unit can also provide a guide that focuses on parts that the senior has had difficulty operating in the past. For example, the operation method is explained in detail based on functions or settings that the senior has had difficulty operating in the past. Furthermore, the operation guide providing unit can predict functions that will be used during specific time periods from the senior's past operation history and provide a guide related to those functions. For example, the operation method is explained in detail based on apps and functions that the senior has frequently used in specific time periods. This makes it possible to provide optimal guides based on the senior's past operation history.

[0075] The operation guide providing unit can adjust the level of detail of the guide based on the senior's current skill level. For example, if the senior is a beginner, the operation guide providing unit can provide a guide that explains basic operation methods in detail. For example, a guide can be provided to help the senior learn basic smartphone operations, showing specific operation procedures. Furthermore, if the senior is an intermediate user, the operation guide providing unit can provide a guide that explains advanced operation methods. For example, a guide can be provided to help the senior learn how to set up and customize a smartphone. Furthermore, if the senior is an advanced user, the operation guide providing unit can provide a guide that explains specialized operation methods. For example, a guide can be provided to help the senior learn how to use advanced smartphone functions and apps. This makes it possible to provide an optimal guide according to the senior's skill level. The skill level can be evaluated based on, for example, test results or self-assessment. For example, the senior can take a simple test at the beginning of the operation guide, and the skill level can be evaluated based on the test results. Alternatively, the senior can perform self-assessment, and the skill level can be evaluated based on the self-assessment results.

[0076] The operation guide providing unit can update the guide content based on feedback from the senior when providing the operation guide. For example, if a senior is dissatisfied with the guide content, the operation guide providing unit improves the guide content by reflecting the feedback. For example, if a senior finds the content of the operation guide difficult, the operation guide providing unit simplifies the content to make it easier for the senior to understand. Furthermore, if a senior is satisfied with the guide content, the operation guide providing unit can provide a similar guide to other seniors based on the feedback. For example, if a senior is satisfied with the content of the operation guide, the operation guide providing unit can provide that content to other seniors, thereby achieving similar satisfaction. Furthermore, if a senior makes a suggestion regarding the guide content, the operation guide providing unit can update the guide content by reflecting the suggestion. For example, if a senior suggests adding an explanation of a new function to the operation guide, the operation guide providing unit updates the guide content by reflecting the suggestion. This makes it possible to provide an optimal guide based on the senior's feedback.

[0077] The operation guide providing unit can analyze the senior's emotions and adjust the guide display method based on the analyzed senior's emotions. For example, if the senior is nervous, the operation guide providing unit provides an interface with a subdued color scheme to reduce visual stress. For example, if the senior is nervous when using the operation guide, the operation guide providing unit changes the color scheme of the interface to a subdued tone, allowing the senior to relax. Furthermore, if the senior is enjoying themselves, the operation guide providing unit can provide an interface with a bright color scheme to make input work more enjoyable. For example, if the senior is enjoying the operation guide, the operation guide providing unit brightens the color scheme of the interface, allowing the senior to enjoy learning. Furthermore, if the senior is tired, the operation guide providing unit can provide a simple, highly visible interface to make input work easier. For example, if the senior is tired when using the operation guide, the operation guide providing unit simplifies the interface and increases visibility, allowing the senior to easily operate it. This makes it possible to provide an optimal display method according to the senior's emotions. Emotion estimation is achieved using an emotion estimation function, for example, an emotion engine or generative AI. The generation AI may be a text generation AI (e.g., LLM) or a multimodal generation AI, but is not limited to such examples.

[0078] When providing an operation guide, the operation guide providing unit can provide region-specific information based on the senior's geographical location information. The operation guide providing unit can provide, for example, a guide explaining operation methods and settings specific to the region where the senior lives. For example, a guide explaining how to operate apps and services specific to the region where the senior lives can be provided. Furthermore, if the senior is traveling, the operation guide providing unit can provide a guide explaining operation methods and settings specific to the region. For example, a guide explaining how to operate apps and services the senior will use at their travel destination can be provided. Furthermore, if the senior has moved, the operation guide providing unit can provide a guide explaining operation methods and settings specific to their new region. For example, a guide explaining how to operate apps and services the senior will use in their new region can be provided. This makes it possible to provide optimal guidance based on the senior's geographical location information. Geographical location information can be collected based on, for example, GPS data and address information. For example, the current location can be identified using GPS data from the senior's smartphone, and information related to the region can be provided. Furthermore, if the senior inputs their address information, information related to the region can be provided.

[0079] The operation guide providing unit can analyze the social media activity of seniors and provide related guides when providing operation guides. The operation guide providing unit, for example, provides a guide that focuses on functions frequently used by seniors on social media. For example, it provides detailed explanations on how to operate posting and messaging functions that seniors frequently use on social media. The operation guide providing unit can also provide a guide that focuses on aspects of social media that seniors find difficult. For example, it provides detailed explanations on how to operate privacy settings and account management functions that seniors find difficult on social media. Furthermore, the operation guide providing unit can predict functions that seniors will use at specific times based on the seniors' social media activity and provide guides related to those functions. For example, it provides detailed explanations on how to operate social media functions that seniors frequently use at specific times. This makes it possible to provide optimal guides based on the seniors' social media activity. Social media activity analysis is performed based on, for example, the content of posts, the number of likes, the number of followers, etc. For example, it is possible to analyze the content of seniors' social media posts and provide information related to their interests. It is also possible to identify popular posts and accounts based on the number of likes and followers of seniors and provide information about them.

[0080] The operation guide providing unit can customize the guide content based on the senior's past feedback when providing the operation guide. The operation guide providing unit customizes the guide content based on, for example, feedback provided by the senior in the past. For example, if a senior was dissatisfied with the content of the operation guide in the past, the operation guide providing unit improves the guide content by reflecting that feedback. The operation guide providing unit can also provide a similar guide to other seniors based on guide content that the senior was satisfied with in the past. For example, if a senior was satisfied with the content of the operation guide in the past, the operation guide providing unit can provide that content to other seniors to achieve similar satisfaction. Furthermore, the operation guide providing unit can update the guide content by reflecting content previously suggested by the senior. For example, if a senior suggests adding an explanation of a new function to the operation guide, the operation guide content is updated to reflect that suggestion. This makes it possible to provide an optimal guide based on the senior's past feedback. Feedback is collected based on, for example, questionnaires, comments, ratings, etc. For example, a senior can answer a questionnaire after using the operation guide, and the guide content can be improved based on the results. Furthermore, a senior can comment on or rate the operation guide, and the guide content can be updated by reflecting that feedback.

[0081] The information collecting unit can analyze the emotions of the senior and determine the priority of information to be collected based on the analyzed emotions of the senior. For example, if the senior is excited, the information collecting unit prioritizes collecting the latest news and trend information. For example, if the senior is excited, the information collecting unit collects the latest news and trend information and provides it to the senior. Furthermore, if the senior is relaxed, the information collecting unit can prioritize collecting information related to hobbies and interests. For example, if the senior is relaxed, the information collecting unit collects news and articles related to the hobbies and interests and provides it to the senior. Furthermore, if the senior is feeling anxious, the information collecting unit can prioritize collecting information that gives a sense of security. For example, if the senior is feeling anxious, the information collecting unit collects news and articles that give a sense of security and provides it to the senior. This makes it possible to provide optimal information according to the senior's emotions. Emotion analysis can be performed based on, for example, facial expression recognition, voice analysis, self-reporting, etc. For example, the senior's facial expressions can be captured with a camera and emotions can be analyzed using facial expression recognition technology. Furthermore, the senior's voice can be recorded and emotions can be analyzed using voice analysis technology. Additionally, seniors can self-report and their emotions can be analyzed based on the results.

[0082] When collecting information, the information collecting unit can analyze the senior's past search history and collect appropriate information. The information collecting unit, for example, collects related information based on keywords that the senior has searched for in the past. For example, the information collecting unit analyzes keywords that the senior has searched for in the past and collects news and articles related to those keywords. The information collecting unit can also collect related information based on articles that the senior has viewed in the past. For example, the information collecting unit analyzes articles that the senior has viewed in the past and collects news and articles related to those articles. Furthermore, the information collecting unit can predict information that the senior will be interested in during a specific time period from the senior's past search history and collect that information. For example, based on keywords that the senior frequently searches for during a specific time period, information related to that time period is collected. This makes it possible to provide optimal information based on the senior's past search history. The search history is analyzed based on, for example, search keywords and search frequency. For example, keywords that the senior has searched for in the past can be analyzed and information related to those keywords can be provided. Related information can also be provided based on the frequency of searches by the senior in the past.

[0083] The information collecting unit can filter information based on the senior's current areas of interest when collecting information. For example, the information collecting unit prioritizes collecting information related to areas in which the senior is currently interested. For example, it collects news and articles related to areas in which the senior is currently interested and provides the information to the senior. The information collecting unit can also filter and display information related to areas in which the senior is currently interested. For example, it filters information related to areas in which the senior is currently interested and prioritizes displaying information that is important to the senior. Furthermore, the information collecting unit can automatically collect related information based on the senior's current areas of interest. For example, it automatically collects related information based on keywords related to the senior's current areas of interest and provides it to the senior. This makes it possible to provide optimal information based on the senior's current areas of interest. The definition and collection method of areas of interest are based on, for example, a questionnaire or past behavioral history. For example, the senior can answer a questionnaire and identify the area of ​​interest based on the results. The senior's past behavioral history can also be analyzed and the area of ​​interest can be identified based on the results.

[0084] The information collecting unit can improve the information collection method based on feedback from seniors when collecting information. The information collecting unit improves the information collection method based on, for example, feedback provided by seniors. For example, if a senior is dissatisfied with an information collection method, the information collecting unit improves the collection method by reflecting that feedback. The information collecting unit can also provide a similar information collection method to other seniors based on an information collection method that satisfied a senior. For example, if a senior is satisfied with an information collection method, the information collecting unit can provide that method to other seniors and achieve similar satisfaction. Furthermore, the information collecting unit can update the information collection method by reflecting suggestions made by seniors. For example, if a senior suggests adding a new function to the information collection method, the information collecting unit updates the collection method by reflecting that suggestion. This makes it possible to provide an optimal information collection method based on senior feedback. Feedback can be collected based on, for example, questionnaires, comments, evaluations, etc. For example, seniors can answer questionnaires after using an information collection method, and the collection method can be improved based on the results. Furthermore, seniors can comment on or evaluate the information collection method, and the information collection method can be updated by reflecting that feedback.

[0085] The information collecting unit can analyze the senior's emotions and adjust the display method of the collected information based on the analyzed senior's emotions. For example, if the senior is nervous, the information collecting unit provides a simple, highly visible display method. For example, if the senior is nervous, the information collecting unit simplifies the interface and increases visibility, allowing the senior to easily understand the information. Furthermore, if the senior is relaxed, the information collecting unit can provide a display method including detailed information. For example, if the senior is relaxed, the information collecting unit provides an interface including detailed information, allowing the senior to deeply understand the information. Furthermore, if the senior is in a hurry, the information collecting unit can provide a display method that focuses on the main points. For example, if the senior is in a hurry, the information collecting unit provides an interface that focuses on the main points, allowing the senior to quickly grasp the information. This makes it possible to provide an optimal display method according to the senior's emotions. Emotion analysis can be performed based on, for example, facial expression recognition, voice analysis, self-reporting, etc. For example, the senior's facial expressions can be captured with a camera and emotions can be analyzed using facial expression recognition technology. Furthermore, the senior's voice can be recorded and emotions can be analyzed using voice analysis technology. Additionally, seniors can self-report and their emotions can be analyzed based on the results.

[0086] When collecting information, the information collection unit can prioritize collecting highly relevant information based on the senior's geographical location information. For example, the information collection unit prioritizes collecting information specific to the area where the senior lives. For example, it collects news and event information for the area where the senior lives and provides it to the senior. In addition, when the senior is traveling, the information collection unit can prioritize collecting information specific to that area. For example, it collects tourist information and transportation information for the senior's travel destination and provides it to the senior. Furthermore, when the senior moves, the information collection unit can prioritize collecting information specific to the new area. For example, it collects information on lifestyle and local services in the senior's new area and provides it to the senior. This makes it possible to provide optimal information based on the senior's geographical location information. Geographical location information is collected based on, for example, GPS data and address information. For example, the current location can be identified using GPS data from the senior's smartphone, and information related to that area can be provided. In addition, if the senior enters their address information, information related to that area can be provided.

[0087] When collecting information, the information collection unit can analyze the social media activities of seniors and collect related information. For example, the information collection unit collects related information based on keywords frequently used by seniors on social media. For example, the information collection unit analyzes keywords frequently used by seniors on social media and collects news and articles related to those keywords. The information collection unit can also collect related information based on areas in which seniors have difficulty using social media. For example, the information collection unit collects information related to privacy settings and account management, which seniors have difficulty with on social media. Furthermore, the information collection unit can predict information that seniors will be interested in at a specific time period from the social media activities of seniors and collect that information. For example, based on social media functions that seniors frequently use at a specific time period, the information collection unit collects information related to that time period. This makes it possible to provide optimal information based on the social media activities of seniors. Social media activity analysis is performed based on, for example, the content of posts, the number of likes, the number of followers, etc. For example, the content of social media posts of seniors can be analyzed to provide information related to their interests. Popular posts and accounts can also be identified based on the number of likes and followers of seniors, and that information can be provided.

[0088] The information collecting unit can customize the information collection method based on the senior's past feedback when collecting information. The information collecting unit customizes the information collection method based on, for example, feedback provided by the senior in the past. For example, if a senior was dissatisfied with an information collection method in the past, the information collecting unit improves the information collection method by reflecting that feedback. The information collecting unit can also provide a similar information collection method to other seniors based on an information collection method that the senior was satisfied with in the past. For example, if a senior was satisfied with an information collection method in the past, the information collecting unit can provide that method to other seniors and achieve similar satisfaction. Furthermore, the information collecting unit can update the information collection method by reflecting suggestions made by the senior in the past. For example, if a senior suggests adding a new function to the information collection method, the information collecting unit updates the collection method by reflecting that suggestion. This makes it possible to provide an optimal information collection method based on the senior's past feedback. Feedback can be collected based on, for example, questionnaires, comments, ratings, etc. For example, a senior can respond to a questionnaire after using an information collection method, and the collection method can be improved based on the results. The information collecting unit can also update the information collection method by reflecting feedback made by a senior on the information collection method.

[0089] The platform providing unit can analyze the senior's emotions and adjust the display method of the platform based on the analyzed senior's emotions. For example, if the senior is nervous, the platform providing unit provides a simple, highly visible display method. For example, if the senior is nervous, the platform providing unit simplifies the interface and increases visibility, allowing the senior to easily understand the information. Furthermore, if the senior is relaxed, the platform providing unit can provide a display method including detailed information. For example, if the senior is relaxed, the platform providing unit provides an interface including detailed information, allowing the senior to deeply understand the information. Furthermore, if the senior is in a hurry, the platform providing unit can provide a display method that focuses on the main points. For example, if the senior is in a hurry, the platform providing unit provides an interface that focuses on the main points, allowing the senior to quickly grasp the information. This makes it possible to provide an optimal display method according to the senior's emotions. Emotion analysis can be performed based on, for example, facial expression recognition, voice analysis, self-reporting, etc. For example, the senior's facial expressions can be captured with a camera and emotions can be analyzed using facial expression recognition technology. Furthermore, the senior's voice can be recorded and emotions can be analyzed using voice analysis technology. Additionally, seniors can self-report and their emotions can be analyzed based on the results.

[0090] When providing the platform, the platform providing unit can analyze the senior's past activity history and provide appropriate platform content. For example, the platform providing unit provides a platform that focuses on providing functions that the senior has frequently used in the past. For example, based on apps and functions that the senior has frequently used in the past, the platform providing unit can provide detailed explanations of how to use them. The platform providing unit can also provide a platform that focuses on parts that the senior has had difficulty with in the past. For example, based on functions or settings that the senior has had difficulty using in the past, the platform providing unit can provide detailed explanations of how to use them. Furthermore, the platform providing unit can predict functions that the senior will use during a specific time period based on the senior's past activity history and provide those functions. For example, based on apps and functions that the senior frequently uses during a specific time period, the platform providing unit can provide detailed explanations of how to use them. This makes it possible to provide an optimal platform based on the senior's past activity history. The activity history can be analyzed based on, for example, log data and frequency of use. For example, log data of apps and functions that the senior has used in the past can be analyzed, and the platform content can be customized based on the results. Related information can also be provided based on the frequency of functions that the senior has used in the past.

[0091] The platform providing unit can customize the platform functions based on the senior's current skill level when providing the platform. For example, if the senior is a beginner, the platform providing unit provides a platform that provides basic functions. For example, the platform providing unit provides a platform for the senior to learn basic smartphone operations and provides specific operating procedures. Furthermore, if the senior is an intermediate user, the platform providing unit can provide a platform that provides applied functions. For example, the platform providing unit provides a platform for the senior to learn how to set up and customize a smartphone. Furthermore, if the senior is an advanced user, the platform providing unit can provide a platform that provides specialized functions. For example, the platform providing unit provides a platform for the senior to learn how to use advanced smartphone functions and apps. This makes it possible to provide an optimal platform according to the senior's skill level. The skill level can be evaluated based on, for example, test results or self-assessment. For example, the senior can take a simple test at the beginning of the platform, and the skill level can be evaluated based on the test results. Alternatively, the senior can perform a self-assessment and the skill level can be evaluated based on the results.

[0092] The platform providing unit can update the platform content based on the seniors' feedback when providing the platform. The platform providing unit, for example, improves the platform content based on the feedback provided by the seniors. For example, if a senior is dissatisfied with the platform content, the platform providing unit improves the content by reflecting that feedback. The platform providing unit can also provide similar content to other seniors based on the platform content that the seniors are satisfied with. For example, if a senior is satisfied with the platform content, the platform providing unit can provide that content to other seniors, thereby achieving similar satisfaction. The platform providing unit can also update the platform content by reflecting suggestions made by the seniors. For example, if a senior suggests adding a new function to the platform, the platform content is updated by reflecting that suggestion. This makes it possible to provide an optimal platform based on the seniors' feedback. Feedback can be collected, for example, based on surveys, comments, ratings, etc. For example, seniors can answer surveys after using the platform, and the content can be improved based on the results. Furthermore, seniors can comment on or rate the platform, and the content can be updated by reflecting that feedback.

[0093] The platform providing unit can analyze the senior's emotions and adjust the platform's operating procedures based on the analyzed senior's emotions. For example, if the senior is nervous, the platform providing unit can simplify the operating procedures and explain them step by step. For example, if the senior is nervous, the platform providing unit can simplify the operating procedures to make them easier for the senior to understand. Furthermore, if the senior is relaxed, the platform providing unit can provide detailed operating procedures to allow the senior to operate freely. For example, if the senior is relaxed, the platform providing unit can provide detailed operating procedures to allow the senior to operate freely. Furthermore, if the senior is in a hurry, the platform providing unit can provide the shortest operating procedures to allow the senior to quickly achieve their goal. For example, if the senior is in a hurry, the platform providing unit can provide the shortest operating procedures to allow the senior to quickly achieve their goal. This makes it possible to provide the optimal operating procedures according to the senior's emotions. Emotion analysis can be performed based on, for example, facial expression recognition, voice analysis, self-reporting, etc. For example, the senior's facial expressions can be captured with a camera and their emotions can be analyzed using facial expression recognition technology. Furthermore, the senior's voice can be recorded and their emotions can be analyzed using voice analysis technology. Additionally, seniors can self-report and their emotions can be analyzed based on the results.

[0094] When providing the platform, the platform providing unit can provide region-specific functions based on the senior's geographical location information. The platform providing unit, for example, provides a platform that provides functions and services specific to the region where the senior lives. For example, it can provide a platform that provides apps and services specific to the region where the senior lives. Furthermore, when the senior is traveling, the platform providing unit can provide a platform that provides functions and services specific to the region. For example, it can provide a platform that provides apps and services that the senior uses at their travel destination. Furthermore, when the senior moves, the platform providing unit can provide a platform that provides functions and services specific to the new region. For example, it can provide a platform that provides apps and services that the senior uses in their new region. This makes it possible to provide an optimal platform based on the senior's geographical location information. Geographical location information can be collected based on, for example, GPS data or address information. For example, it is possible to identify the current location using GPS data from the senior's smartphone and provide information related to the region. It is also possible to provide information related to the region by having the senior input their address information.

[0095] The platform providing unit may analyze a senior's social media activity and provide related functions when providing the platform. For example, the platform providing unit may provide a platform that focuses on providing functions frequently used by seniors on social media. For example, the platform providing unit may provide detailed instructions on how to use posting and messaging functions that seniors frequently use on social media. The platform providing unit may also provide a platform that focuses on areas where seniors have difficulty using social media. For example, the platform providing unit may provide detailed instructions on how to use privacy settings and account management functions that seniors have difficulty using on social media. Furthermore, the platform providing unit may predict functions that seniors will use at specific times based on the senior's social media activity and provide those functions. For example, the platform providing unit may provide detailed instructions on how to use those functions based on social media functions that seniors frequently use at specific times. This makes it possible to provide an optimal platform based on the senior's social media activity. Social media activity may be analyzed based on, for example, the content of posts, the number of likes, the number of followers, etc. For example, the content of a senior's social media posts may be analyzed to provide information related to the senior's interests. Popular posts and accounts may also be identified based on the number of likes and followers of the senior, and information about them may be provided.

[0096] The platform providing unit can customize the platform content based on the seniors' past feedback when providing the platform. The platform providing unit customizes the platform content based on, for example, feedback provided by the seniors in the past. For example, if a senior has previously been dissatisfied with the platform content, the platform providing unit can improve the content by reflecting that feedback. The platform providing unit can also provide similar content to other seniors based on platform content that the seniors were previously satisfied with. For example, if a senior was previously satisfied with the platform content, the platform providing unit can provide that content to other seniors, thereby achieving similar satisfaction. Furthermore, the platform providing unit can update the platform content by reflecting suggestions made by the seniors in the past. For example, if a senior suggests adding a new function to the platform, the platform content can be updated by reflecting that suggestion. This makes it possible to provide an optimal platform based on the seniors' past feedback. Feedback can be collected based on, for example, surveys, comments, ratings, etc. For example, seniors can respond to surveys after using the platform, and the content can be improved based on the results. Furthermore, seniors can provide comments and ratings on the platform, and the content can be updated by reflecting that feedback.

[0097] The event hosting unit can analyze the emotions of the senior and adjust the content and progress of the event based on the analyzed emotions of the senior. For example, if the senior is nervous, the event hosting unit can provide relaxing content and progress. For example, if the senior is nervous, the event hosting unit can provide relaxing content and progress, allowing the senior to participate with peace of mind. Furthermore, if the senior is excited, the event hosting unit can provide active content and progress. For example, if the senior is excited, the event hosting unit can provide active content and progress, allowing the senior to enjoy participating. Furthermore, if the senior is relaxed, the event hosting unit can provide standard content and progress. For example, if the senior is relaxed, the event hosting unit can provide standard content and progress, allowing the senior to participate at their own pace. This makes it possible to provide an optimal event according to the senior's emotions. Emotion analysis can be performed based on, for example, facial expression recognition, voice analysis, self-reporting, etc. For example, the senior's facial expressions can be captured with a camera and emotions can be analyzed using facial expression recognition technology. Furthermore, the senior's voice can be recorded and emotions can be analyzed using voice analysis technology. Furthermore, the senior can self-report and emotions can be analyzed based on the results.

[0098] The event hosting unit can analyze a senior's past participation history when hosting an event and provide appropriate event content. The event hosting unit can, for example, provide related events based on the content of events that the senior has previously participated in. For example, the event hosting unit can analyze the content of events that the senior has previously participated in and provide events related to that content. The event hosting unit can also provide optimal event content based on feedback from events that the senior has previously participated in. For example, the event hosting unit can analyze feedback from events that the senior has previously participated in and improve the event content based on that feedback. Furthermore, the event hosting unit can predict events that the senior will be interested in during a specific time period from the senior's past participation history and provide those events. For example, based on events that the senior frequently participates in during a specific time period, the event hosting unit can provide events related to that time period. This makes it possible to provide optimal events based on the senior's past participation history. The analysis of participation history can be performed based on, for example, event participation records and survey results. For example, the event content can be customized based on the analysis results of events that the senior has previously participated in. Furthermore, related events can be provided based on the results of a survey that the senior answers after participating in an event.

[0099] The event hosting unit can select an event theme based on the senior's current area of ​​interest when hosting an event. The event hosting unit, for example, provides an event related to the senior's current area of ​​interest. For example, the event hosting unit selects a theme related to the senior's current area of ​​interest and hosts the event based on that theme. The event hosting unit can also select an event theme based on information related to the senior's current area of ​​interest. For example, the event hosting unit analyzes news and articles related to the senior's current area of ​​interest and selects an event theme based on that information. Furthermore, the event hosting unit can automatically provide related events based on the senior's current area of ​​interest. For example, related events are automatically provided based on keywords related to the senior's current area of ​​interest. This makes it possible to provide the most appropriate event based on the senior's current area of ​​interest. The method of defining and collecting the area of ​​interest is, for example, based on a questionnaire or past behavioral history. For example, the senior can answer a questionnaire and identify the area of ​​interest based on the results. The senior's past behavioral history can also be analyzed and the area of ​​interest can be identified based on the results.

[0100] The event hosting unit can update the event content based on feedback from seniors when hosting an event. The event hosting unit improves the event content based on, for example, feedback provided by seniors. For example, if a senior is dissatisfied with the event content, the event content is improved by reflecting that feedback. The event hosting unit can also provide similar content to other seniors based on event content that satisfied a senior. For example, if a senior is satisfied with the event content, the event hosting unit can provide that content to other seniors, thereby achieving similar satisfaction. The event hosting unit can also update the event content by reflecting suggestions made by seniors. For example, if a senior suggests adding a new activity to the event, the event content is updated by reflecting that suggestion. This makes it possible to provide an optimal event based on senior feedback. Feedback can be collected based on, for example, surveys, comments, ratings, etc. For example, seniors can respond to surveys after participating in an event, and the content can be improved based on the results. Furthermore, if seniors provide comments or ratings on the event, the content can be updated by reflecting that feedback.

[0101] The event hosting unit can analyze the senior's emotions and adjust the event schedule based on the analyzed senior's emotions. For example, if the senior is nervous, the event hosting unit can provide a relaxing schedule. For example, if the senior is nervous, the event hosting unit can provide a relaxing schedule, allowing the senior to participate with peace of mind. Furthermore, if the senior is excited, the event hosting unit can provide an active schedule. For example, if the senior is excited, the event hosting unit can provide an active schedule, allowing the senior to enjoy participating. Furthermore, if the senior is relaxed, the event hosting unit can provide a standard schedule. For example, if the senior is relaxed, the event hosting unit can provide a standard schedule, allowing the senior to participate at their own pace. This makes it possible to provide an optimal schedule according to the senior's emotions. Emotion analysis can be performed based on, for example, facial expression recognition, voice analysis, self-reporting, etc. For example, the senior's facial expressions can be captured with a camera and emotions can be analyzed using facial expression recognition technology. Furthermore, the senior's voice can be recorded and emotions can be analyzed using voice analysis technology. Furthermore, the senior can self-report and emotions can be analyzed based on the results.

[0102] When an event is held, the event hosting unit can host a region-specific event based on the senior's geographical location information. The event hosting unit, for example, provides events specific to the region where the senior lives. For example, it can provide cultural events or local activities specific to the region where the senior lives. In addition, if the senior is traveling, the event hosting unit can provide events specific to that region. For example, it can provide tourist events or local festivals at the senior's travel destination. Furthermore, if the senior has moved, the event hosting unit can provide events specific to the new region. For example, it can provide community events or local activities in the senior's new region. This makes it possible to provide the most suitable event based on the senior's geographical location information. Geographical location information is collected based on, for example, GPS data or address information. For example, it is possible to identify the current location using GPS data from the senior's smartphone and provide information related to that region. In addition, it is possible to provide information related to the region by having the senior input address information.

[0103] The event hosting unit can analyze the social media activity of seniors when hosting an event and suggest related events. For example, the event hosting unit can provide related events based on keywords frequently used by seniors on social media. For example, the event hosting unit can analyze keywords frequently used by seniors on social media and provide events related to those keywords. The event hosting unit can also provide related events based on areas in which seniors have difficulty using social media. For example, the event hosting unit can provide events related to privacy settings and account management, which seniors have difficulty with on social media. Furthermore, the event hosting unit can predict events that seniors will be interested in during a specific time period based on the seniors' social media activity and provide those events. For example, the event hosting unit can provide events related to that time period based on social media functions that seniors frequently use during that time period. This makes it possible to provide optimal events based on the seniors' social media activity. Social media activity analysis can be performed based on, for example, the content of posts, the number of likes, the number of followers, etc. For example, the content of seniors' social media posts can be analyzed to provide information related to their interests. Popular posts and accounts can also be identified based on the number of likes and followers of seniors, and information about them can be provided.

[0104] The event hosting unit can customize the event content based on the senior's past feedback when hosting an event. The event hosting unit customizes the event content based on, for example, feedback provided by the senior in the past. For example, if a senior was dissatisfied with the event content in the past, the event hosting unit improves the content by reflecting that feedback. The event hosting unit can also provide similar content to other seniors based on event content that the senior was satisfied with in the past. For example, if a senior was satisfied with the event content in the past, the event hosting unit can provide that content to other seniors and achieve similar satisfaction. Furthermore, the event hosting unit can update the event content by reflecting content previously suggested by the senior. For example, if a senior suggests adding a new activity to the event, the event content is updated by reflecting that suggestion. This makes it possible to provide an optimal event based on the senior's past feedback. Feedback can be collected based on, for example, questionnaires, comments, ratings, etc. For example, a senior can respond to a questionnaire after participating in an event, and the content can be improved based on the results. Furthermore, if a senior provides comments or ratings on the event, the event content can be updated by reflecting that feedback. === Hard Collateral 1-1 === Each of the multiple elements, including the operation guide providing unit, information collecting unit, platform providing unit, and event hosting unit, described above, is realized, for example, by at least one of the smart device 14 and the data processing device 12. For example, the operation guide providing unit is realized by the control unit 46A of the smart device 14 and provides audio guides and video tutorials. The information collecting unit is realized, for example, by the specific processing unit 290 of the data processing device 12 and collects related information based on the hobbies and interests of seniors and displays it on the smart device 14. The platform providing unit is realized, for example, by the control unit 46A of the smart device 14 and provides an online community where seniors can publish their creations and share them with other users. The event hosting unit is realized, for example, by the specific processing unit 290 of the data processing device 12 and hosts courses and seminars on how to use smartphones. === Hard Collateral 1-2 === Each of the multiple elements, including the operation guide providing unit, information collecting unit, platform providing unit, and event hosting unit, described above, is realized, for example, by at least one of the smart glasses 214 and the data processing device 12. For example, the operation guide providing unit is realized by the control unit 46A of the smart glasses 214 and provides audio guides and video tutorials. The information collecting unit is realized, for example, by the specific processing unit 290 of the data processing device 12 and collects related information based on the senior's hobbies and interests and displays it on the smart glasses 214. The platform providing unit is realized, for example, by the control unit 46A of the smart glasses 214 and provides an online community where seniors can present their creations and share them with other users. The event hosting unit is realized, for example, by the specific processing unit 290 of the data processing device 12 and hosts courses and seminars for learning how to use smartphones. === Hard Collateral 1-3 === Each of the multiple elements, including the operation guide providing unit, information collecting unit, platform providing unit, and event hosting unit, described above, is realized, for example, by at least one of the headset terminal 314 and the data processing device 12. For example, the operation guide providing unit is realized by the control unit 46A of the headset terminal 314 and provides audio guides and video tutorials. The information collecting unit is realized, for example, by the specific processing unit 290 of the data processing device 12 and collects related information based on the hobbies and interests of seniors and displays it on the headset terminal 314. The platform providing unit is realized, for example, by the control unit 46A of the headset terminal 314 and provides an online community where seniors can publish their creations and share them with other users. The event hosting unit is realized, for example, by the specific processing unit 290 of the data processing device 12 and hosts courses and seminars on how to use smartphones. === Hard Collateral 1-4 === Each of the multiple elements, including the operation guide providing unit, information collecting unit, platform providing unit, and event hosting unit, described above, is realized, for example, by at least one of the robot 414 and the data processing device 12. For example, the operation guide providing unit is realized by the control unit 46A of the robot 414 and provides audio guides and video tutorials. The information collecting unit is realized, for example, by the specific processing unit 290 of the data processing device 12 and collects related information based on the senior's hobbies and interests and displays it on the robot 414. The platform providing unit is realized, for example, by the control unit 46A of the robot 414 and provides an online community where seniors can present their creations and share them with other users. The event hosting unit is realized, for example, by the specific processing unit 290 of the data processing device 12 and hosts courses and seminars for learning how to use smartphones.

[0105] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0106] The operation guide providing unit can analyze the senior's emotions and adjust the content and pace of the operation guide based on the analyzed emotions. For example, if the senior is feeling anxious, the operation guide content can be simplified and explained at a slower pace. For example, if the senior is having difficulty operating the device, the operation guide providing unit can explain basic operation methods in detail to make it easier for the senior to understand. Furthermore, if the senior is excited, the operation guide providing unit can provide detailed information about the operation guide and proceed at a faster pace. For example, if the senior is interested in a new function, the operation guide providing unit can provide a detailed explanation of that function so that the senior can learn quickly. Furthermore, if the senior is relaxed, the operation guide providing unit can provide the content of the operation guide at a standard pace. For example, if the senior is familiar with operations, the operation guide providing unit can explain operation methods at a standard pace so that the senior can learn at their own pace. This allows the optimal operation guide to be provided according to the senior's emotions. Emotion estimation is achieved using an emotion estimation function, for example, an emotion engine or generative AI. The generation AI may be a text generation AI (e.g., LLM) or a multimodal generation AI, but is not limited to such examples.

[0107] The operation guide providing unit can analyze the senior's past operation history and customize appropriate guide content. For example, a guide that focuses on explaining functions that the senior has used frequently in the past can be provided. For example, the operation method can be explained in detail based on apps and functions that the senior has used frequently in the past. The operation guide providing unit can also provide a guide that focuses on parts that the senior has had difficulty operating in the past. For example, the operation method can be explained in detail based on functions or settings that the senior has had difficulty operating in the past. Furthermore, the operation guide providing unit can predict functions that will be used during specific time periods from the senior's past operation history and provide guide information about those functions. For example, the operation method can be explained in detail based on apps and functions that the senior has used frequently in specific time periods. This makes it possible to provide optimal guide information based on the senior's past operation history.

[0108] The information collecting unit can analyze the senior's emotions and determine the priority of information to be collected based on the analyzed senior's emotions. For example, if the senior is excited, the information collecting unit can prioritize collecting the latest news and trend information. For example, if the senior is excited, the information collecting unit can collect the latest news and trend information and provide it to the senior. Furthermore, if the senior is relaxed, the information collecting unit can prioritize collecting information related to hobbies and interests. For example, if the senior is relaxed, the information collecting unit can collect news and articles related to the hobbies and interests and provide it to the senior. Furthermore, if the senior is feeling anxious, the information collecting unit can prioritize collecting information that gives a sense of security. For example, if the senior is feeling anxious, the information collecting unit can collect news and articles that give a sense of security and provide it to the senior. This makes it possible to provide optimal information according to the senior's emotions. Emotion analysis can be performed based on, for example, facial expression recognition, voice analysis, self-reporting, etc. For example, the senior's facial expressions can be captured with a camera and emotions can be analyzed using facial expression recognition technology. Furthermore, the senior's voice can be recorded and emotions can be analyzed using voice analysis technology. Furthermore, the senior can self-report and emotions can be analyzed based on the results.

[0109] The platform providing unit can analyze the senior's emotions and adjust the display method of the platform based on the analyzed senior's emotions. For example, if the senior is nervous, the platform providing unit can provide a simple, highly visible display method. For example, if the senior is nervous, the platform providing unit can simplify the interface and increase visibility, allowing the senior to easily understand the information. Furthermore, if the senior is relaxed, the platform providing unit can provide a display method including detailed information. For example, if the senior is relaxed, the platform providing unit can provide an interface including detailed information, allowing the senior to deeply understand the information. Furthermore, if the senior is in a hurry, the platform providing unit can provide a display method that focuses on the main points. For example, if the senior is in a hurry, the platform providing unit can provide an interface that focuses on the main points, allowing the senior to quickly grasp the information. This makes it possible to provide an optimal display method according to the senior's emotions. Emotion analysis can be performed based on, for example, facial expression recognition, voice analysis, self-reporting, etc. For example, the senior's facial expressions can be captured with a camera and emotions can be analyzed using facial expression recognition technology. Furthermore, the senior's voice can be recorded and emotions can be analyzed using voice analysis technology. Additionally, seniors can self-report and their emotions can be analyzed based on the results.

[0110] The event hosting unit can analyze the emotions of the senior and adjust the content and progress of the event based on the analyzed emotions of the senior. For example, if the senior is nervous, the event hosting unit can provide relaxing content and progress. For example, if the senior is nervous, the event hosting unit can provide relaxing content and progress, allowing the senior to participate with peace of mind. Furthermore, if the senior is excited, the event hosting unit can provide active content and progress. For example, if the senior is excited, the event hosting unit can provide active content and progress, allowing the senior to enjoy participating. Furthermore, if the senior is relaxed, the event hosting unit can provide standard content and progress. For example, if the senior is relaxed, the event hosting unit can provide standard content and progress, allowing the senior to participate at their own pace. This makes it possible to provide an optimal event according to the senior's emotions. Emotion analysis can be performed based on, for example, facial expression recognition, voice analysis, self-reporting, etc. For example, the senior's facial expressions can be captured with a camera and emotions can be analyzed using facial expression recognition technology. Furthermore, the senior's voice can be recorded and emotions can be analyzed using voice analysis technology. Furthermore, the senior can self-report and emotions can be analyzed based on the results.

[0111] The operation guide providing unit can adjust the level of detail of the guide based on the senior's current skill level. For example, if the senior is a beginner, a guide explaining basic operation methods in detail is provided. For example, a guide is provided for the senior to learn basic smartphone operations, showing specific operation procedures. Furthermore, if the senior is an intermediate user, the operation guide providing unit can also provide a guide explaining advanced operation methods. For example, a guide is provided for the senior to learn how to set up and customize a smartphone. Furthermore, if the senior is an advanced user, the operation guide providing unit can also provide a guide explaining specialized operation methods. For example, a guide is provided for the senior to learn how to use advanced smartphone functions and apps. This makes it possible to provide an optimal guide according to the senior's skill level. The skill level can be evaluated based on, for example, test results or self-assessment. For example, the senior can take a simple test at the beginning of the operation guide, and the skill level can be evaluated based on the test results. Alternatively, the senior can perform self-assessment, and the skill level can be evaluated based on the self-assessment results.

[0112] When collecting information, the information collection unit can analyze the senior's past search history and collect appropriate information. For example, related information is collected based on keywords that the senior has searched for in the past. For example, keywords that the senior has searched for in the past can be analyzed to collect news and articles related to those keywords. The information collection unit can also collect related information based on articles that the senior has viewed in the past. For example, articles that the senior has viewed in the past can be analyzed to collect news and articles related to those articles. Furthermore, the information collection unit can predict information that the senior will be interested in during a specific time period from the senior's past search history and collect that information. For example, information related to that time period can be collected based on keywords that the senior frequently searches for during that time period. This makes it possible to provide optimal information based on the senior's past search history. Search history analysis is performed based on, for example, search keywords and search frequency. For example, keywords that the senior has searched for in the past can be analyzed to provide information related to those keywords. Related information can also be provided based on the frequency of searches by the senior in the past.

[0113] When providing the platform, the platform providing unit can analyze the senior's past activity history and provide appropriate platform content. For example, the platform providing unit can provide a platform that focuses on providing functions that the senior has frequently used in the past. For example, the platform providing unit can provide detailed explanations of how to use apps and functions that the senior has frequently used in the past. The platform providing unit can also provide a platform that focuses on parts that the senior has had difficulty with in the past. For example, the platform providing unit can provide detailed explanations of how to use functions and settings that the senior has had difficulty using in the past. Furthermore, the platform providing unit can predict functions that the senior will use during a specific time period based on the senior's past activity history and provide those functions. For example, the platform providing unit can provide detailed explanations of how to use apps and functions that the senior frequently uses during a specific time period. This makes it possible to provide an optimal platform based on the senior's past activity history. The activity history can be analyzed based on, for example, log data and frequency of use. For example, the platform content can be customized based on the results of analyzing log data of apps and functions that the senior has used in the past. Related information can also be provided based on the frequency of functions that the senior has used in the past.

[0114] When hosting an event, the event hosting unit can analyze a senior's past participation history and provide appropriate event content. For example, related events can be provided based on the content of events that the senior has previously participated in. For example, the event hosting unit can analyze the content of events that the senior has previously participated in and provide events related to that content. The event hosting unit can also provide optimal event content based on feedback from events that the senior has previously participated in. For example, the event hosting unit can analyze feedback from events that the senior has previously participated in and improve the event content based on that feedback. Furthermore, the event hosting unit can predict events that the senior will be interested in during a specific time period from the senior's past participation history and provide those events. For example, based on events that the senior frequently participates in during a specific time period, the event hosting unit can provide events related to that time period. This makes it possible to provide optimal events based on the senior's past participation history. The analysis of participation history can be performed based on, for example, event participation records and survey results. For example, the event content can be customized based on the analysis results of events that the senior has previously participated in. Furthermore, related events can be provided based on the results of a survey that the senior answers after participating in an event.

[0115] When hosting an event, the event hosting unit can select a theme for the event based on the senior's current area of ​​interest. For example, the event hosting unit provides an event related to the senior's current area of ​​interest. For example, the event hosting unit selects a theme related to the senior's current area of ​​interest and hosts the event based on that theme. The event hosting unit can also select a theme for the event based on information related to the senior's current area of ​​interest. For example, the event hosting unit analyzes news and articles related to the senior's current area of ​​interest and selects an event theme based on that information. Furthermore, the event hosting unit can automatically provide related events based on the senior's current area of ​​interest. For example, related events are automatically provided based on keywords related to the senior's current area of ​​interest. This makes it possible to provide the most appropriate event based on the senior's current area of ​​interest. The method of defining and collecting the area of ​​interest is based on, for example, a questionnaire or past behavioral history. For example, the senior can answer a questionnaire and identify the area of ​​interest based on the results. The event hosting unit can also analyze the senior's past behavioral history and identify the area of ​​interest based on the results.

[0116] The processing flow of the second embodiment will be briefly explained below.

[0117] Step 1: The operation guide provider provides operation guides to help seniors master smartphones. Specifically, it provides audio guides and video tutorials that narrate basic smartphone operations. It also provides videos that include step-by-step explanations and demonstrations. Step 2: The information collection unit collects information related to the senior's interests based on the guide provided by the operation guide provision unit. Specifically, it automatically collects related information based on the senior's hobbies and interests and displays news and articles on the smartphone. Step 3: The platform provider provides a system for seniors to engage in self-improvement and creative activities based on the information collected by the information collector. Specifically, it provides an online community where seniors can present their work, share it with other users, and receive feedback. Step 4: The Event Organizing Department will use the platform provided by the Platform Provider to organize events and workshops for seniors to learn new knowledge and skills. Specifically, they will hold courses on how to use smartphones and seminars related to areas of interest.

[0118] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0119] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> Examples of generative AIs include the data generation model 58, such as a neural network model (e.g., a neural network model), and a neural network model (e.g., a neural network model). The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating speech, text data indicating text, and image data indicating an image is also input to the data generation model 58. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0120] Furthermore, the processing by the data processing system 10 described above is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0121] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0122] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0123] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0124] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0125] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0126] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0127] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0128] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0129] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0130] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0131] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0132] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0133] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0134] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0135] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0136] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the smart glasses 214 or an external device, etc., and the smart glasses 214 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0137] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0138] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0139] 5, the data processing system 310 includes the data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0140] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0141] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0142] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0143] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0144] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0145] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0146] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0147] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0148] In the headset type terminal 314, the identification process is performed by the processor 46. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. Note that the headset type terminal 314 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the identification processing unit 290 using these models.

[0149] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0150] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0151] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0152] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset type terminal 314, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset type terminal 314. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the headset type terminal 314 or an external device, etc., and the headset type terminal 314 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0153] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0154] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0155] 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0156] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0157] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[0158] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0159] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS image sensor or a CCD image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0160] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0161] The control object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[0162] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0163] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0164] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0165] In the robot 414, the processor 46 performs the identification process. The storage 50 stores the identification program 60. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as the control unit 46A in accordance with the identification program 60 executed on the RAM 48. The robot 414 also has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform the same process as the identification processing unit 290 using these models.

[0166] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0167] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[0168] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0169] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the robot 414 or an external device, etc., and the robot 414 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0170] The correspondence between each part and the device or control part is not limited to the example described above, and various modifications are possible.

[0171] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0172] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion encompasses both emotions and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[0173] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[0174] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[0175] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. Emotions can also be created for robots, cars, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on speech emotion recognition and brain physiological signal analysis systems for emotions, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the area called "reaction," where sensation is dominant. The right half of the emotion map lists emotions belonging to the area called "situation," where situational awareness is dominant.

[0176] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[0177] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[0178] In the above embodiment, an example was given in which a specific process is performed by one computer 22, but the technology disclosed herein is not limited to this, and distributed processing of the specific process may be performed by multiple computers including computer 22.

[0179] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[0180] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[0181] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[0182] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. A processor also includes a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[0183] The hardware resource that executes the specific process may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific process may be a single processor.

[0184] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[0185] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[0186] In the above example, the first to fourth embodiments have been described separately, but some or all of these embodiments may be combined. The smart device 14, smart glasses 214, headset terminal 314, and robot 414 are merely examples, and they may be combined, or other devices may be used. In the above example, the first and second embodiments have been described separately, but they may be combined.

[0187] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[0188] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[0189] [Explanation of symbols]

[0190] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. An operation guide providing department that provides operation guides to help seniors master smartphone use; an information collection unit that collects information related to the interests of seniors based on the guide provided by the operation guide providing unit; a platform providing unit that provides a system for seniors to engage in self-development and creative activities based on the information collected by the information collecting unit; and an event holding unit that holds events and workshops for seniors to learn new knowledge and skills based on the platform provided by the platform providing unit. A system characterized by:

2. The operation guide providing unit Provide audio guides or video tutorials 2. The system of claim 1.

3. The information collecting unit Automatically collect relevant information based on a senior's hobbies or interests 2. The system of claim 1.

4. The platform providing unit Providing an online community where seniors can present and share their work with others 2. The system of claim 1.

5. The event organizing department: Hosting courses on how to use smartphones and seminars related to your area of ​​interest 2. The system of claim 1.

6. The operation guide providing unit Analyze the emotions of seniors and adjust the content and pace of the operation guide based on the analyzed emotions of seniors.

2. The system of claim 1.

7. The operation guide providing unit Analyze the senior's past operation history and customize appropriate guidance content 2. The system of claim 1.

8. The operation guide providing unit Adjust the level of detail in the guide based on the senior's current skill level 2. The system of claim 1.

Images