System

Abstract

An object of the system according to the embodiment is to enable businessmen and family members to efficiently manage daily tasks and important errands.SOLUTION: A system according to an embodiment includes an inquiry handling unit, a meeting room adjustment unit, a clerical work unit, a reminder unit, and a lost article confirmation unit. When the inquiry handling unit orally requests the businessman to make an in-house inquiry, the inquiry handling unit handles the inquiry by all due dates. When the meeting room coordinator verbally requests the businessman to coordinate the meeting room, the meeting room coordinator deals with the meeting room by all due dates. When the clerical work unit verbally requests clerical work to the businessman, the clerical work unit deals with all the clerical work by the due date. The reminding part automatically teaches an important business to the family at the entrance. The article-left-behind confirmation unit automatically teaches the family not to leave an article behind at the entrance.SELECTED DRAWING: Figure 1

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] Conventional technology has made it difficult for business people and families to efficiently manage their daily tasks and important errands.

[0005] The system according to the embodiment aims to enable business people and families to efficiently manage their daily tasks and important errands. [Means for solving the problem]

[0006] The system according to the embodiment comprises an inquiry response unit, a conference room coordination unit, an office work unit, a reminder unit, and a lost property confirmation unit. The inquiry response unit responds to all internal inquiries verbally made to businessmen by the deadline. The conference room coordination unit responds to all conference room arrangements verbally made to businessmen by the deadline. The office work unit responds to all office work verbally made to businessmen by the deadline. The reminder unit automatically notifies family members of important matters at the entrance. The lost property confirmation unit automatically notifies family members at the entrance to ensure that they have not left anything behind. [Effects of the Invention]

[0007] Systems according to embodiments can enable business people and families to efficiently manage their daily tasks and important errands. [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) The AI ​​secretary system according to an embodiment of the present invention is a system targeted at businessmen and their families. This system responds to verbal requests from businessmen for internal inquiries, meeting room arrangements, and clerical work by the deadline. For family members, it also has a function that automatically reminds them at the entrance of important matters and reminds them not to forget anything, acting as a family secretary. This allows the AI ​​secretary system to streamline the daily lives of businessmen and their families, preventing them from forgetting important matters and forgetting things.

[0029] The AI ​​secretary system according to the embodiment includes an inquiry response unit, a conference room coordination unit, an administrative work unit, a reminder unit, and a lost-item confirmation unit. When a businessman makes an internal inquiry in the inquiry response unit, the generation AI analyzes the content of the inquiry and provides an appropriate response. For example, in response to an inquiry such as "What is this month's sales data?", the generation AI searches the internal database and provides the latest sales data. The generation AI also obtains information from a project management system and responds to an inquiry such as "What is the progress of a new project?" When a businessman requests a conference room, the conference room coordination unit checks the availability of the conference room and makes the reservation. For example, in response to a request such as "Please reserve a conference room for next Tuesday," the generation AI checks the conference room schedule and reserves an available time slot. The generation AI can also automatically send notifications to meeting participants. When a businessman requests administrative work, the generation AI automatically performs the work. For example, in response to a request such as "Please prepare these documents by tomorrow," the generation AI creates and organizes the documents. The generation AI also responds to requests such as "Compile this data into Excel," entering and organizing the data. The reminder section ensures that family members don't forget important tasks. For example, the generation AI can inform family members of important events, such as "Today is Grandma's birthday, so please bring a present." The generation AI can also remind them to make necessary preparations based on events registered on the calendar. The lost and found section ensures that family members don't forget anything when they go out. For example, the generation AI can tell them what they need to bring based on the weather forecast, such as "It's going to rain today, so please bring an umbrella." The generation AI can also create a list of items needed for school or work and check them before going out. This allows the AI ​​secretary system to streamline the daily lives of businessmen and their families, preventing them from forgetting important tasks or forgetting things. For example, businessmen can smoothly handle internal inquiries, arrange meeting rooms, and perform administrative tasks, while family members can avoid forgetting important tasks or forgetting things. This is expected to reduce stress in daily life and lead to more efficient living.

[0030] The inquiry response unit learns a businessman's past behavioral patterns and can automatically suggest necessary tasks without a request. For example, the generation AI in the inquiry response unit analyzes a businessman's past emails and schedules and automatically suggests regularly performed tasks. For example, the generation AI notifies the businessman in advance of monthly report preparation and regular meeting preparation. The generation AI also learns a businessman's past behavioral patterns and automatically reminds the businessman of tasks that are required at specific times. For example, the generation AI suggests quarterly performance reviews and annual budget creation. The generation AI also analyzes a businessman's past project history and automatically suggests tasks that were required in similar projects. For example, the generation AI suggests creating necessary materials and setting up meetings when starting a new project. This enables efficient task management for businessmen.

[0031] The conference room coordination unit can propose the optimal conference room and time, taking into account the importance of the meeting and the schedules of the participants. For example, the generation AI analyzes the importance of the meeting and the schedules of the participants to propose the optimal conference room and time. For example, the generation AI proposes a large conference room for an important meeting and a small conference room for a meeting with a small number of participants. The generation AI also integrates the schedules of the meeting participants and proposes the optimal time when everyone can attend. For example, the generation AI automatically selects a time when everyone's schedule is free. The generation AI also evaluates the importance of the meeting and proposes a conference room that is equipped with the necessary facilities for an important meeting. For example, the generation AI proposes a conference room that has a projector or whiteboard for a meeting that requires these facilities. This enables efficient coordination of meetings.

[0032] The administrative work unit automatically prioritizes administrative work, allowing work to proceed efficiently. For example, the generation AI automatically prioritizes administrative work, allowing work to proceed efficiently. For example, the generation AI prioritizes tasks based on importance and deadlines. The generation AI also monitors the progress of administrative work in real time and dynamically adjusts priorities. For example, if an urgent task is added, it will reprioritize other tasks. The generation AI also improves efficiency by processing tasks of the same type together. This makes it possible to make administrative work more efficient.

[0033] The reminder section can integrate each family member's schedule and optimize the overall schedule. In the reminder section, for example, the generation AI collects the schedules of each family member and optimizes the overall schedule. For example, the generation AI suggests the best date and time for an event that all family members will attend. The generation AI also integrates each family member's schedule and automatically detects and adjusts overlaps and contradictions. For example, the generation AI makes optimal adjustments when multiple members have different plans at the same time. The generation AI also monitors family schedules in real time and automatically updates the overall schedule if any changes occur. For example, the generation AI notifies other members if there is a sudden change in plans. This makes schedule management for the entire family more efficient.

[0034] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0035] The AI ​​secretary system can further include a health management unit. The health management unit can monitor the user's health status and provide appropriate health advice. For example, the generation AI can analyze the user's sleep patterns and suggest appropriate sleep times. The generation AI can also analyze the user's food records and suggest a balanced meal plan. Furthermore, the generation AI can analyze the user's exercise history and suggest an appropriate exercise plan. This allows the user to maintain a healthy lifestyle.

[0036] The AI ​​secretary system can further include a learning support unit. The learning support unit can monitor the user's learning progress and suggest effective learning methods. For example, the generation AI can analyze the user's learning history and suggest an optimal learning schedule. The generation AI can also evaluate the user's level of understanding and provide necessary supplementary lessons or additional learning materials. Furthermore, the generation AI can suggest learning methods that suit the user's learning style. This allows the user to study efficiently.

[0037] The AI ​​secretary system can further include a travel planning unit, which can propose optimal travel plans based on the user's preferences and budget. For example, the generation AI can analyze the user's past travel history and propose travel destinations that match the user's preferences. The generation AI can also propose optimal accommodations and transportation methods based on the user's budget. Furthermore, the generation AI can take the user's schedule into consideration and propose optimal travel itineraries. This allows users to plan their travels efficiently.

[0038] The AI ​​secretary system can further include a hobby support unit. The hobby support unit can suggest new activities and events based on the user's hobbies. For example, the generation AI can suggest events and workshops related to the user's hobbies. The generation AI can also suggest new activities according to the user's hobbies. Furthermore, the generation AI can introduce related communities and groups based on the user's hobbies. This allows the user to gain new experiences through their hobbies.

[0039] The AI ​​secretary system can further include a housework support unit. The housework support unit can efficiently manage the user's housework tasks and suggest appropriate times to perform them. For example, the generation AI can analyze the user's housework schedule and suggest optimal times to clean or do laundry. The generation AI can also monitor the progress of the user's housework tasks and provide necessary reminders. Furthermore, the generation AI can suggest ways to efficiently divide the user's housework tasks. This allows the user to perform housework efficiently.

[0040] The processing flow of the first embodiment will be briefly explained below.

[0041] Step 1: When a businessperson makes an internal inquiry, the generation AI analyzes the content and provides an appropriate response. For example, in response to an inquiry such as "What is this month's sales data?", the AI ​​searches the internal database and provides the latest sales data. It also responds to inquiries such as "What is the progress of the new project?" by retrieving information from the project management system. Step 2: When a businessman requests a conference room, the generating AI checks the availability of the conference room and makes the reservation. For example, in response to a request such as "reserve a conference room for next Tuesday," the generating AI checks the conference room schedule and makes a reservation for an available time slot. The generating AI can also automatically send notifications to meeting participants. Step 3: In the administrative department, when a businessman requests administrative work, the generation AI automatically performs the work. For example, in response to a request such as "put this document together by tomorrow," the AI ​​creates and organizes the document. It also responds to requests such as "put this data together in Excel," entering and organizing the data. Step 4: In the reminder section, the AI ​​generator will remind the family members to make sure they don't forget important events. For example, it will inform the family of important events by saying, "Today is Grandma's birthday, so please bring a present." The AI ​​generator can also remind the family members to make necessary preparations based on the events registered in the calendar. Step 5: When family members go out, the AI ​​generation checks to make sure they haven't forgotten anything. For example, it tells them what they need to bring based on the weather forecast, such as "It's going to rain today, so please take an umbrella." The AI ​​generation can also create a list of items they need for school or work, and check them before they go out.

[0042] (Example 2) The AI ​​secretary system according to an embodiment of the present invention is a system targeted at businessmen and their families. This system responds to verbal requests from businessmen for internal inquiries, meeting room arrangements, and clerical work by the deadline. For family members, it also has a function that automatically reminds them at the entrance of important matters and reminds them not to forget anything, acting as a family secretary. This allows the AI ​​secretary system to streamline the daily lives of businessmen and their families, preventing them from forgetting important matters and forgetting things.

[0043] The AI ​​secretary system according to the embodiment includes an inquiry response unit, a conference room coordination unit, an administrative work unit, a reminder unit, and a lost-item confirmation unit. When a businessman makes an internal inquiry in the inquiry response unit, the generation AI analyzes the content of the inquiry and provides an appropriate response. For example, in response to an inquiry such as "What is this month's sales data?", the generation AI searches the internal database and provides the latest sales data. The generation AI also obtains information from a project management system and responds to an inquiry such as "What is the progress of a new project?" When a businessman requests a conference room, the conference room coordination unit checks the availability of the conference room and makes the reservation. For example, in response to a request such as "Please reserve a conference room for next Tuesday," the generation AI checks the conference room schedule and reserves an available time slot. The generation AI can also automatically send notifications to meeting participants. When a businessman requests administrative work, the generation AI automatically performs the work. For example, in response to a request such as "Please prepare these documents by tomorrow," the generation AI creates and organizes the documents. The generation AI also responds to requests such as "Compile this data into Excel," entering and organizing the data. The reminder section ensures that family members don't forget important tasks. For example, the generation AI can inform family members of important events, such as "Today is Grandma's birthday, so please bring a present." The generation AI can also remind them to make necessary preparations based on events registered on the calendar. The lost and found section ensures that family members don't forget anything when they go out. For example, the generation AI can tell them what they need to bring based on the weather forecast, such as "It's going to rain today, so please bring an umbrella." The generation AI can also create a list of items needed for school or work and check them before going out. This allows the AI ​​secretary system to streamline the daily lives of businessmen and their families, preventing them from forgetting important tasks or forgetting things. For example, businessmen can smoothly handle internal inquiries, arrange meeting rooms, and perform administrative tasks, while family members can avoid forgetting important tasks or forgetting things. This is expected to reduce stress in daily life and lead to more efficient living.

[0044] The inquiry response unit learns a businessman's past behavioral patterns and can automatically suggest necessary tasks without a request. For example, the generation AI in the inquiry response unit analyzes a businessman's past emails and schedules and automatically suggests regularly performed tasks. For example, the generation AI notifies the businessman in advance of monthly report preparation and regular meeting preparation. The generation AI also learns a businessman's past behavioral patterns and automatically reminds the businessman of tasks that are required at specific times. For example, the generation AI suggests quarterly performance reviews and annual budget creation. The generation AI also analyzes a businessman's past project history and automatically suggests tasks that were required in similar projects. For example, the generation AI suggests creating necessary materials and setting up meetings when starting a new project. This enables efficient task management for businessmen.

[0045] The conference room coordination unit can propose the optimal conference room and time, taking into account the importance of the meeting and the schedules of the participants. For example, the generation AI analyzes the importance of the meeting and the schedules of the participants to propose the optimal conference room and time. For example, the generation AI proposes a large conference room for an important meeting and a small conference room for a meeting with a small number of participants. The generation AI also integrates the schedules of the meeting participants and proposes the optimal time when everyone can attend. For example, the generation AI automatically selects a time when everyone's schedule is free. The generation AI also evaluates the importance of the meeting and proposes a conference room that is equipped with the necessary facilities for an important meeting. For example, the generation AI proposes a conference room that has a projector or whiteboard for a meeting that requires these facilities. This enables efficient coordination of meetings.

[0046] The administrative work unit automatically prioritizes administrative work, allowing work to proceed efficiently. For example, the generation AI automatically prioritizes administrative work, allowing work to proceed efficiently. For example, the generation AI prioritizes tasks based on importance and deadlines. The generation AI also monitors the progress of administrative work in real time and dynamically adjusts priorities. For example, if an urgent task is added, it will reprioritize other tasks. The generation AI also improves efficiency by processing tasks of the same type together. This makes it possible to make administrative work more efficient.

[0047] The reminder section can integrate each family member's schedule and optimize the overall schedule. In the reminder section, for example, the generation AI collects the schedules of each family member and optimizes the overall schedule. For example, the generation AI suggests the best date and time for an event that all family members will attend. The generation AI also integrates each family member's schedule and automatically detects and adjusts overlaps and contradictions. For example, the generation AI makes optimal adjustments when multiple members have different plans at the same time. The generation AI also monitors family schedules in real time and automatically updates the overall schedule if any changes occur. For example, the generation AI notifies other members if there is a sudden change in plans. This makes schedule management for the entire family more efficient.

[0048] The lost item confirmation unit can monitor the emotional state of family members and make suggestions to bring out positive emotions. In the lost item confirmation unit, for example, the generation AI analyzes the emotional state of family members and suggests activities to bring out positive emotions. For example, the generation AI suggests games and activities that the whole family can enjoy. The generation AI also suggests relaxing music and videos based on the emotional state of family members. For example, the generation AI provides relaxing music and videos of natural scenery. The generation AI also monitors the emotional state of family members and suggests events and activities to bring out positive emotions. For example, the generation AI suggests events and activities that the whole family can enjoy. This can improve the emotional state of the family and create a positive atmosphere.

[0049] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0050] The AI ​​secretary system can further include a health management unit. The health management unit can monitor the user's health status and provide appropriate health advice. For example, the generation AI can analyze the user's sleep patterns and suggest appropriate sleep times. The generation AI can also analyze the user's food records and suggest a balanced meal plan. Furthermore, the generation AI can analyze the user's exercise history and suggest an appropriate exercise plan. This allows the user to maintain a healthy lifestyle.

[0051] The AI ​​secretary system can further include a learning support unit. The learning support unit can monitor the user's learning progress and suggest effective learning methods. For example, the generation AI can analyze the user's learning history and suggest an optimal learning schedule. The generation AI can also evaluate the user's level of understanding and provide necessary supplementary lessons or additional learning materials. Furthermore, the generation AI can suggest learning methods that suit the user's learning style. This allows the user to study efficiently.

[0052] The AI ​​secretary system can also use its emotion estimation function to monitor the user's stress level and provide advice to reduce stress. For example, the generation AI can analyze the user's emotional state and suggest relaxing activities. The generation AI can also suggest appropriate break times based on the user's stress level. Furthermore, the generation AI can monitor the user's emotional state and suggest relaxation methods to reduce stress. This allows the user to reduce stress and maintain a relaxed state.

[0053] The AI ​​secretary system can also use its emotion estimation function to provide advice to improve the user's motivation. For example, the generation AI can analyze the user's emotional state and suggest goal setting to increase motivation. The generation AI can also provide encouraging messages based on the user's emotional state. Furthermore, the generation AI can monitor the user's emotional state and suggest activities to maintain motivation. This allows the user to maintain high motivation and act efficiently toward achieving their goals.

[0054] The AI ​​secretary system can also use its emotion estimation function to provide personalized entertainment based on the user's emotions. For example, the generative AI can analyze the user's emotional state and suggest movies or music that match that mood at the time. The generative AI can also provide a list of relaxing reading material based on the user's emotional state. Furthermore, the generative AI can monitor the user's emotional state and suggest entertainment that matches that emotion in real time. This allows the user to enjoy entertainment that matches their mood at the time.

[0055] The AI ​​secretary system can also use its emotion estimation function to provide communication support based on the user's emotions. For example, the generation AI can analyze the user's emotional state and suggest appropriate communication methods. The generation AI can also suggest appropriate timing for sending messages based on the user's emotional state. Furthermore, the generation AI can monitor the user's emotional state and provide communication advice based on emotions. This allows users to communicate more effectively.

[0056] The AI ​​secretary system can further include a travel planning unit, which can propose optimal travel plans based on the user's preferences and budget. For example, the generation AI can analyze the user's past travel history and propose travel destinations that match the user's preferences. The generation AI can also propose optimal accommodations and transportation methods based on the user's budget. Furthermore, the generation AI can take the user's schedule into consideration and propose optimal travel itineraries. This allows users to plan their travels efficiently.

[0057] The AI ​​secretary system can further include a hobby support unit. The hobby support unit can suggest new activities and events based on the user's hobbies. For example, the generation AI can suggest events and workshops related to the user's hobbies. The generation AI can also suggest new activities according to the user's hobbies. Furthermore, the generation AI can introduce related communities and groups based on the user's hobbies. This allows the user to gain new experiences through their hobbies.

[0058] The AI ​​secretary system can further include a housework support unit. The housework support unit can efficiently manage the user's housework tasks and suggest appropriate times to perform them. For example, the generation AI can analyze the user's housework schedule and suggest optimal times to clean or do laundry. The generation AI can also monitor the progress of the user's housework tasks and provide necessary reminders. Furthermore, the generation AI can suggest ways to efficiently divide the user's housework tasks. This allows the user to perform housework efficiently.

[0059] The processing flow of the second embodiment will be briefly explained below.

[0060] Step 1: When a businessperson makes an internal inquiry, the generation AI analyzes the content and provides an appropriate response. For example, in response to an inquiry such as "What is this month's sales data?", the AI ​​searches the internal database and provides the latest sales data. It also responds to inquiries such as "What is the progress of the new project?" by retrieving information from the project management system. Step 2: When a businessman requests a conference room, the generating AI checks the availability of the conference room and makes the reservation. For example, in response to a request such as "reserve a conference room for next Tuesday," the generating AI checks the conference room schedule and makes a reservation for an available time slot. The generating AI can also automatically send notifications to meeting participants. Step 3: In the administrative department, when a businessman requests administrative work, the generation AI automatically performs the work. For example, in response to a request such as "put this document together by tomorrow," the AI ​​creates and organizes the document. It also responds to requests such as "put this data together in Excel," entering and organizing the data. Step 4: In the reminder section, the AI ​​generator will remind the family members to make sure they don't forget important events. For example, it will inform the family of important events by saying, "Today is Grandma's birthday, so please bring a present." The AI ​​generator can also remind the family members to make necessary preparations based on the events registered in the calendar. Step 5: When family members go out, the AI ​​generation checks to make sure they haven't forgotten anything. For example, it tells them what they need to bring based on the weather forecast, such as "It's going to rain today, so please take an umbrella." The AI ​​generation can also create a list of items they need for school or work, and check them before they go out.

[0061] 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.

[0062] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<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.

[0063] 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.

[0064] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0065] 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.

[0066] 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.

[0067] 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.

[0068] 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.

[0069] 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).

[0070] 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.

[0071] 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.

[0072] 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.

[0073] 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.

[0074] 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.

[0075] 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.

[0076] 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.

[0077] 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.

[0078] 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.

[0079] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0080] 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.

[0081] 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.

[0082] 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.

[0083] 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.

[0084] 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).

[0085] 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.

[0086] 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.

[0087] 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.

[0088] 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.

[0089] In the headset type terminal 314, 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. 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 specific processing unit 290 using these models.

[0090] 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.

[0091] 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.

[0092] 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.

[0093] 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.

[0094] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0095] 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.

[0096] 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.

[0097] 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.

[0098] 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.

[0099] 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).

[0100] 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.

[0101] 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.

[0102] 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.

[0103] 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.

[0104] 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.

[0105] In the robot 414, 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 robot 414 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.

[0106] 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.

[0107] 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.

[0108] 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.

[0109] 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.

[0110] 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.

[0111] 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.

[0112] 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.

[0113] 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).

[0114] 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.

[0115] 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."

[0116] 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.

[0117] 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.

[0118] 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.

[0119] 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.

[0120] 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.

[0121] 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.

[0122] 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.

[0123] 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.

[0124] 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.

[0125] 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.

[0126] 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.

[0127] 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. [Explanation of symbols]

[0128] 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 AI secretary system for businessmen and families, For business people, we have an inquiry department, a conference room coordination department, and an administrative work department that handles all internal inquiries, conference room arrangements, and administrative work verbally, and responds to all requests by the deadline. For family members, it acts as a personal secretary for the family, automatically reminding them at the entrance to ensure they don't forget anything or have important matters to attend to, and equipped with a forgotten items confirmation function. A system characterized by:

2. The inquiry response unit: It learns the businessperson's past behavioral patterns and automatically suggests necessary tasks without a request.

2. The system of claim 1.

3. The conference room adjustment unit Considering the importance of the meeting and the schedules of the participants, we suggest the best meeting room and time 2. The system of claim 1.

4. The administrative work department Automatically set priorities for the above administrative tasks and work efficiently 2. The system of claim 1.

5. The reminding unit Integrate the individual schedules of the family members and optimize the overall schedule.

2. The system of claim 1.

Images