System

Abstract

An object of a system according to an embodiment is to provide a specific and creative proposal for enriching an individual's daily life.SOLUTION: A system according to an embodiment includes a gift selector, an art suggester, and a lifestyle improver. The gift selection unit proposes an optimal gift based on the input information of the user. The art proposition section proposes an art work based on the gift proposed by the gift selection section. The lifestyle improving unit provides advice on lifestyle improvement on the basis of the art work proposed by the art proposing unit.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 technologies have had the problem of making it difficult to efficiently provide specific and creative suggestions to enrich individuals' daily lives.

[0005] The system according to the embodiment aims to provide specific and creative suggestions to enrich the daily lives of individuals. [Means for solving the problem]

[0006] The system according to the embodiment includes a gift selection unit, an art suggestion unit, and a lifestyle improvement unit. The gift selection unit suggests an optimal gift based on information input by a user. The art suggestion unit suggests an artwork based on the gift suggested by the gift selection unit. The lifestyle improvement unit provides advice on lifestyle improvement based on the artwork suggested by the art suggestion unit. [Effects of the Invention]

[0007] The system according to the embodiment can provide specific and creative suggestions to enrich the daily life of an individual. [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 the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[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 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[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 Creative Life Hack AI according to an embodiment of the present invention is an AI support service for enriching the daily lives of individuals. This service improves the quality of life by having AI propose solutions and creative ideas for small everyday problems and worries. In this way, the Creative Life Hack AI can enrich the daily lives of individuals and improve their quality of life.

[0029] A creative life hack AI according to an embodiment includes a gift selection unit, an art suggestion unit, and a lifestyle improvement unit. The gift selection unit suggests the optimal gift based on user input information. For example, when a user inputs a question such as, "What should I give my friend for his / her birthday?", the generation AI suggests the optimal gift based on the friend's hobbies and past gift-giving history. The generation AI receives input from a prompt containing instructions on what the user wants the generation AI to do, and the generation AI generates gift selection advice based on the prompt. The art suggestion unit suggests artwork based on the user's emotions and experiences. For example, when a user inputs a request such as, "I want to turn my recent travel memories into art," the generation AI analyzes the details and emotions of the trip and suggests artworks such as paintings, poems, and music based on that. The generation AI receives input from a prompt containing instructions on what the user wants the generation AI to do, and the generation AI generates suggested artworks based on the prompt. The lifestyle improvement unit analyzes the user's diary entries and provides lifestyle improvement advice. For example, if a user inputs a request such as "I want to know how to reduce stress these days," the generation AI analyzes the contents of the diary and suggests the causes of stress and solutions. The input to the generation AI is a prompt containing instructions on what the user wants the generation AI to do, and the generation AI generates advice on lifestyle improvement based on the prompt. In this way, the creative life hack AI according to the embodiment can enrich the user's daily life and improve the quality of life.

[0030] The gift selection unit analyzes the user's past purchase history or social media posts to understand a friend's preferences in more detail. For example, the generation AI analyzes the user's past purchase history and suggests the most suitable gift based on gifts that friends have received in the past and their reactions to them. For example, it analyzes trends in gifts that friends have enjoyed in the past and suggests similar items. The gift selection unit also analyzes the user's social media posts to understand a friend's hobbies and interests. For example, it suggests the most suitable gift based on the content of posts that friends have shared on social media. In this way, by analyzing the user's past purchase history and social media posts, it is possible to understand a friend's preferences in more detail and suggest the most suitable gift.

[0031] The gift selection unit can analyze gift trends according to seasons or events in real time and suggest gifts based on the latest trends. For example, the generation AI in the gift selection unit analyzes seasonal gift trends and suggests gifts that match events such as Christmas and Valentine's Day. For example, it suggests popular Christmas gifts during the Christmas season. The gift selection unit can also analyze gift trends in real time and suggest gifts based on the latest trends. For example, it suggests the best gift based on current fashions and popular items. This allows the system to analyze gift trends according to seasons and events in real time and suggest gifts based on the latest trends.

[0032] The art suggestion unit can analyze the user's emotions and experiences and suggest multiple art forms based on them. For example, the art suggestion unit uses a generation AI to analyze the user's emotions and experiences and suggest paintings based on them. For example, it generates paintings that express the joy or sadness felt by the user using colors and shapes. The art suggestion unit can also analyze the user's emotions and experiences and suggest poems based on them. For example, it generates poems that express the user's emotions in words. The art suggestion unit can also analyze the user's emotions and experiences and suggest music based on them. For example, it generates music that expresses the user's emotions through melody and rhythm. This makes it possible to analyze the user's emotions and experiences and suggest multiple art forms based on them.

[0033] The art suggestion unit can analyze the changes in a user's emotions over time and suggest artwork that reflects those changes. For example, the art suggestion unit uses a generation AI to analyze a user's diary or social media posts over time and suggest paintings that reflect the changes in emotions. For example, it generates paintings that express changes in emotions through color and shape. The art suggestion unit also uses a generation AI to analyze the changes in a user's emotions and suggest poems based on the analysis. For example, it generates poems that express changes in emotions in words. The art suggestion unit also uses a generation AI to analyze the changes in a user's emotions and suggest music based on the analysis. For example, it generates music that expresses changes in emotions through melody and rhythm. This makes it possible to analyze the changes in a user's emotions over time and suggest artworks that reflect those changes.

[0034] The lifestyle improvement unit can analyze the user's diary entries, identify causes and patterns of stress, and propose specific improvement measures based on that. In the lifestyle improvement unit, for example, the generation AI analyzes the user's diary entries and identifies causes of stress. For example, it analyzes that a specific event or relationship is the cause of stress and proposes improvement measures based on that. In addition, the lifestyle improvement unit can analyze the user's diary entries and identify stress patterns. For example, it analyzes that stress increases at specific times of the day or in specific situations and proposes improvement measures based on that. In addition, the lifestyle improvement unit can analyze the user's diary entries, identify causes and patterns of stress, and propose specific improvement measures based on that. For example, it proposes relaxation methods and stress relief techniques. In this way, the generation AI can analyze the user's diary entries, identify causes and patterns of stress, and propose specific improvement measures based on that.

[0035] The lifestyle improvement unit can track changes in health condition and lifestyle habits based on the user's diary entries and provide advice for long-term lifestyle improvements. In the lifestyle improvement unit, for example, the generation AI analyzes the user's diary entries and tracks changes in health condition and lifestyle habits. For example, the generation AI analyzes the health condition based on diet and exercise records and provides advice for long-term lifestyle improvements. In addition, the lifestyle improvement unit can track changes in lifestyle habits based on the user's diary entries. For example, the generation AI analyzes changes in sleep patterns and stress levels and provides advice for long-term lifestyle improvements. In addition, the lifestyle improvement unit can track changes in health condition and lifestyle habits based on the user's diary entries and provide advice for long-term lifestyle improvements. For example, the generation AI suggests a balanced diet and appropriate exercise. In this way, it is possible to track changes in health condition and lifestyle habits based on the user's diary entries and provide advice for long-term lifestyle improvements.

[0036] The lifestyle improvement unit also provides dietary and exercise advice based on the user's diary entries, enabling comprehensive lifestyle improvements. For example, the generation AI analyzes the user's diary entries and provides comprehensive lifestyle improvement advice based on the user's dietary and exercise records. For example, it suggests a balanced diet and appropriate exercise. The lifestyle improvement unit also provides dietary and exercise advice based on the user's diary entries. For example, it suggests healthy meal menus and effective exercise plans. The lifestyle improvement unit also provides dietary and exercise advice based on the user's diary entries, enabling comprehensive lifestyle improvements. For example, it suggests improving diet and making exercise a habit. This allows the generation AI to provide dietary and exercise advice based on the user's diary entries, enabling comprehensive lifestyle improvements.

[0037] The life improvement unit can improve the quality of life by suggesting hobbies and leisure activities based on the user's diary entries. In the life improvement unit, for example, the generation AI analyzes the user's diary entries and suggests hobbies and leisure activities. For example, it suggests new hobbies and leisure activities that the user may be interested in. In addition, the life improvement unit can suggest hobbies and leisure activities based on the user's diary entries. For example, it suggests hobbies that allow the user to relax and leisure activities that the user can enjoy. In addition, the life improvement unit can improve the quality of life by suggesting hobbies and leisure activities based on the user's diary entries. For example, it suggests activities that are useful for relieving stress and refreshing the user. In this way, it is possible to suggest hobbies and leisure activities based on the user's diary entries and improve the quality of life.

[0038] The art suggestion unit can suggest not only artworks but also interior designs and fashions based on the user's emotions and experiences. In the art suggestion unit, for example, the generation AI suggests interior designs based on the user's emotions and experiences. For example, it suggests interior designs that express the emotions felt by the user using colors and shapes. In addition, the art suggestion unit can suggest fashions based on the user's emotions and experiences. For example, it suggests fashion styles that reflect the user's emotions. In addition, the art suggestion unit can suggest interior designs and fashions based on the user's emotions and experiences. For example, it suggests interiors that the user can relax in and fashions that the user can enjoy. In this way, it is possible to suggest not only artworks but also interior designs and fashions based on the user's emotions and experiences.

[0039] The art suggestion unit can analyze artworks with different cultural and historical backgrounds and suggest artworks that most resonate with the user's emotions and experiences. For example, the generation AI in the art suggestion unit analyzes artworks with different cultural and historical backgrounds and suggests paintings that most resonate with the user's emotions and experiences. For example, it can suggest a new painting based on a historical painting that moved the user. The art suggestion unit can also analyze artworks with different cultural and historical backgrounds and suggest poetry that most resonates with the user's emotions and experiences. For example, it can suggest a new poem based on a poem that moved the user. The art suggestion unit can also analyze artworks with different cultural and historical backgrounds and suggest music that most resonates with the user's emotions and experiences. For example, it can suggest new music based on music that moved the user. This allows the generation AI to analyze artworks with different cultural and historical backgrounds and suggest artworks that most resonate with the user's emotions and experiences.

[0040] The gift selection unit can not only suggest gifts, but also suggest gift wrapping methods and message card contents. In the gift selection unit, for example, the generation AI suggests gift wrapping methods, and provides wrapping designs that match the season or event, for example. For example, Christmas-themed wrapping is suggested for Christmas. In addition, the gift selection unit, the generation AI suggests message card contents. For example, based on the message the user wants to convey, it suggests appropriate message card examples. In addition, the gift selection unit, the generation AI suggests gift wrapping methods and message card contents. For example, it suggests wrapping designs and message card examples for the user to express their gratitude. This makes it possible to not only suggest gifts, but also suggest wrapping methods and message card contents.

[0041] The gift selection unit can analyze gift-giving customs of different cultures and regions and provide international gift selection advice. For example, the generating AI analyzes gift-giving customs of different cultures and regions and makes suggestions based on Japanese gift-giving customs and American gift-giving customs. For example, it might suggest mid-year gifts and year-end gifts to a Japanese friend. The gift selection unit can also analyze gift-giving customs of different cultures and regions and provide international gift selection advice. For example, it might suggest gifts based on the customs of different cultures and regions. The gift selection unit can also analyze gift-giving customs of different cultures and regions and provide international gift selection advice. For example, it might make suggestions based on the unique gift-giving customs of different cultures and regions. This allows the generating AI to analyze gift-giving customs of different cultures and regions and provide international gift selection advice.

[0042] The art suggestion unit can suggest travel destinations and tourist spots based on the user's emotions and experiences. In the art suggestion unit, for example, the generation AI analyzes the user's interests and experiences and suggests travel destinations and tourist spots based on them. For example, it suggests travel destinations and tourist spots that the user might be interested in. In addition, the art suggestion unit can suggest travel destinations and tourist spots based on the user's emotions and experiences. For example, it suggests travel destinations where the user can relax and tourist spots that the user can enjoy. In addition, the art suggestion unit can suggest travel destinations and tourist spots based on the user's emotions and experiences. For example, it suggests travel destinations that will impress the user and tourist spots that interest them. In this way, it is possible to suggest travel destinations and tourist spots based on the user's emotions and experiences.

[0043] The art suggestion unit can analyze the user's living environment and make suggestions for interior and furniture arrangements. For example, the generation AI in the art suggestion unit analyzes the user's living environment and makes suggestions for interior and furniture arrangements. For example, it proposes interior designs and furniture arrangements that will allow the user to relax. In addition, the generation AI in the art suggestion unit analyzes the user's living environment and makes suggestions for interior and furniture arrangements. For example, it proposes interior designs and furniture arrangements that will allow the user to be comfortable. In addition, the generation AI in the art suggestion unit analyzes the user's living environment and makes suggestions for interior and furniture arrangements. For example, it proposes interior designs and furniture arrangements that the user will enjoy. In this way, the user's living environment can be analyzed and suggestions for interior and furniture arrangements can be made.

[0044] The lifestyle improvement unit can analyze the user's lifestyle patterns and make suggestions for effective use of time and efficient schedule management. In the lifestyle improvement unit, for example, the generation AI analyzes the user's lifestyle patterns and makes suggestions for effective use of time. For example, it proposes a schedule that will allow the user to use their time efficiently. In addition, the lifestyle improvement unit can analyze the user's lifestyle patterns and make suggestions for efficient schedule management. For example, it proposes a schedule that will allow the user to complete tasks efficiently. In addition, the lifestyle improvement unit can analyze the user's lifestyle patterns and make suggestions for effective use of time and efficient schedule management. For example, it proposes a schedule that will allow the user to use their time effectively. In this way, the user's lifestyle patterns can be analyzed and suggestions for effective use of time and efficient schedule management can be made.

[0045] The art suggestion unit can analyze a user's past behavioral history and interests and suggest new hobbies and activities. In the art suggestion unit, for example, the generation AI analyzes a user's past behavioral history and suggests new hobbies and activities. For example, it suggests a new hobbies based on activities that the user has enjoyed in the past. In addition, the art suggestion unit can analyze a user's interests and suggest new hobbies and activities based on that. For example, it suggests new hobbies and activities that the user may be interested in. In addition, the art suggestion unit can analyze a user's past behavioral history and interests and suggest new hobbies and activities. For example, it suggests new hobbies and activities that the user may enjoy. In this way, it is possible to analyze a user's past behavioral history and interests and suggest new hobbies and activities.

[0046] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0047] Creative Lifehack AI can also be equipped with a health management unit. The health management unit can analyze the user's health data and provide personalized health advice. For example, it can analyze the user's food records and suggest a nutritionally balanced meal plan. It can also provide an effective exercise plan based on the user's exercise data. It can also analyze the user's sleep data and provide advice on how to get quality sleep. This allows for comprehensive management of the user's health condition and improves the quality of life.

[0048] Creative Lifehack AI can also be equipped with a learning support unit. The learning support unit can analyze the user's learning history and interests and propose optimal learning plans. For example, it can suggest new learning resources based on the content the user has learned in the past and the areas of interest. It can also provide effective learning methods tailored to the user's learning style. It can also track the user's progress and provide appropriate feedback. This can improve the user's learning efficiency and support knowledge acquisition.

[0049] Creative Lifehack AI can also be equipped with a travel planning module. The travel planning module can analyze a user's past travel history and interests to propose optimal travel plans. For example, it can suggest new travel destinations based on places the user has visited in the past and tourist spots they are interested in. It can also provide travel plans tailored to the user's budget and schedule. It can also suggest accommodations and activities tailored to the user's preferences. This can enrich the user's travel experience and support a memorable trip.

[0050] Creative Lifehack AI can also be equipped with a pet care module. This module can analyze the health and behavior of the user's pet and suggest optimal care methods. For example, it can suggest healthy diet and exercise plans based on the pet's diet and exercise records. It can also analyze the pet's behavior and provide stress relief and relaxation methods. It can also monitor the pet's health and detect abnormalities early. This will support the health and happiness of the user's pet and enrich their life with their pet.

[0051] The Creative Lifehack AI can also be equipped with a household management unit. The household management unit can manage the user's household tasks and schedules and support efficient household management. For example, it can schedule tasks such as cleaning, cooking, and shopping and make suggestions for completing them efficiently. It can also manage household resources and support the purchase of necessary items and inventory management. It can also provide tools and advice to facilitate communication within the household. This can help users run their household more efficiently and improve their quality of life.

[0052] The processing flow of the first embodiment will be briefly explained below.

[0053] Step 1: The gift selection unit suggests the best gift based on the information entered by the user. For example, if a user enters a question such as "What should I give my friend for his / her birthday?", the generation AI will suggest the best gift by taking into consideration the friend's hobbies and past gift-giving history. The input to the generation AI is a prompt containing instructions on what the user wants the generation AI to do, and the generation AI generates gift selection advice based on that prompt. Step 2: The art suggestion unit suggests artworks based on the user's emotions and experiences. For example, if a user inputs a request such as "I want to turn my recent travel memories into art," the generation AI analyzes the details and emotions of the trip and suggests artworks such as paintings, poems, and music based on that. The input to the generation AI is a prompt containing instructions on what the user wants the generation AI to do, and the generation AI generates suggested artworks based on that prompt. Step 3: The lifestyle improvement unit analyzes the user's diary entries and provides lifestyle improvement advice. For example, if a user inputs a request such as "I want to know how to reduce my recent stress," the generation AI analyzes the diary entries and suggests the causes of stress and ways to improve it. The input to the generation AI is a prompt containing instructions on what the user wants the generation AI to do, and the generation AI generates lifestyle improvement advice based on that prompt.

[0054] (Example 2) The Creative Life Hack AI according to an embodiment of the present invention is an AI support service for enriching the daily lives of individuals. This service improves the quality of life by having AI propose solutions and creative ideas for small everyday problems and worries. In this way, the Creative Life Hack AI can enrich the daily lives of individuals and improve their quality of life.

[0055] A creative life hack AI according to an embodiment includes a gift selection unit, an art suggestion unit, and a lifestyle improvement unit. The gift selection unit suggests the optimal gift based on user input information. For example, when a user inputs a question such as, "What should I give my friend for his / her birthday?", the generation AI suggests the optimal gift based on the friend's hobbies and past gift-giving history. The generation AI receives input from a prompt containing instructions on what the user wants the generation AI to do, and the generation AI generates gift selection advice based on the prompt. The art suggestion unit suggests artwork based on the user's emotions and experiences. For example, when a user inputs a request such as, "I want to turn my recent travel memories into art," the generation AI analyzes the details and emotions of the trip and suggests artworks such as paintings, poems, and music based on that. The generation AI receives input from a prompt containing instructions on what the user wants the generation AI to do, and the generation AI generates suggested artworks based on the prompt. The lifestyle improvement unit analyzes the user's diary entries and provides lifestyle improvement advice. For example, if a user inputs a request such as "I want to know how to reduce stress these days," the generation AI analyzes the contents of the diary and suggests the causes of stress and solutions. The input to the generation AI is a prompt containing instructions on what the user wants the generation AI to do, and the generation AI generates advice on lifestyle improvement based on the prompt. In this way, the creative life hack AI according to the embodiment can enrich the user's daily life and improve the quality of life.

[0056] The gift selection unit analyzes the user's past purchase history or social media posts to understand a friend's preferences in more detail. For example, the generation AI analyzes the user's past purchase history and suggests the most suitable gift based on gifts that friends have received in the past and their reactions to them. For example, it analyzes trends in gifts that friends have enjoyed in the past and suggests similar items. The gift selection unit also analyzes the user's social media posts to understand a friend's hobbies and interests. For example, it suggests the most suitable gift based on the content of posts that friends have shared on social media. In this way, by analyzing the user's past purchase history and social media posts, it is possible to understand a friend's preferences in more detail and suggest the most suitable gift.

[0057] The gift selection unit can analyze gift trends according to seasons or events in real time and suggest gifts based on the latest trends. For example, the generation AI in the gift selection unit analyzes seasonal gift trends and suggests gifts that match events such as Christmas and Valentine's Day. For example, it suggests popular Christmas gifts during the Christmas season. The gift selection unit can also analyze gift trends in real time and suggest gifts based on the latest trends. For example, it suggests the best gift based on current fashions and popular items. This allows the system to analyze gift trends according to seasons and events in real time and suggest gifts based on the latest trends.

[0058] The gift selection unit uses the emotion estimation function to analyze the emotions felt by the user when selecting a gift and can suggest gifts that elicit positive emotions. For example, the gift selection unit uses a generation AI to analyze the user's facial expressions and voice and estimate the emotions felt when selecting a gift in real time. For example, it prioritizes presenting gifts suggested when the user is smiling. The gift selection unit also uses a generation AI to analyze the user's emotions and suggest gifts that elicit positive emotions. For example, it suggests gifts that make the user feel joyful or satisfied. This allows the unit to analyze the emotions felt by the user when selecting a gift and suggest gifts that elicit positive emotions.

[0059] The art suggestion unit can analyze the user's emotions and experiences and suggest multiple art forms based on them. For example, the art suggestion unit uses a generation AI to analyze the user's emotions and experiences and suggest paintings based on them. For example, it generates paintings that express the joy or sadness felt by the user using colors and shapes. The art suggestion unit can also analyze the user's emotions and experiences and suggest poems based on them. For example, it generates poems that express the user's emotions in words. The art suggestion unit can also analyze the user's emotions and experiences and suggest music based on them. For example, it generates music that expresses the user's emotions through melody and rhythm. This makes it possible to analyze the user's emotions and experiences and suggest multiple art forms based on them.

[0060] The art suggestion unit can analyze the changes in a user's emotions over time and suggest artwork that reflects those changes. For example, the art suggestion unit uses a generation AI to analyze a user's diary or social media posts over time and suggest paintings that reflect the changes in emotions. For example, it generates paintings that express changes in emotions through color and shape. The art suggestion unit also uses a generation AI to analyze the changes in a user's emotions and suggest poems based on the analysis. For example, it generates poems that express changes in emotions in words. The art suggestion unit also uses a generation AI to analyze the changes in a user's emotions and suggest music based on the analysis. For example, it generates music that expresses changes in emotions through melody and rhythm. This makes it possible to analyze the changes in a user's emotions over time and suggest artworks that reflect those changes.

[0061] The art suggestion unit uses the emotion estimation function to analyze the user's emotions in real time and suggest a piece of art that best suits the emotions of that moment. For example, the art suggestion unit uses a generation AI to analyze the user's facial expressions and voice in real time and suggest a painting that best suits the emotions of that moment. For example, when the user is smiling, it suggests a painting with bright colors. The art suggestion unit also uses a generation AI to analyze the user's emotions in real time and suggest a poem that best suits the emotions of that moment. For example, it suggests an inspiring poem when the user is moved. The art suggestion unit also uses a generation AI to analyze the user's emotions in real time and suggest music that best suits the emotions of that moment. For example, it suggests relaxing music when the user is relaxing. This allows the art suggestion unit to analyze the user's emotions in real time and suggest a piece of art that best suits the emotions of that moment.

[0062] The lifestyle improvement unit can analyze the user's diary entries, identify causes and patterns of stress, and propose specific improvement measures based on that. In the lifestyle improvement unit, for example, the generation AI analyzes the user's diary entries and identifies causes of stress. For example, it analyzes that a specific event or relationship is the cause of stress and proposes improvement measures based on that. In addition, the lifestyle improvement unit can analyze the user's diary entries and identify stress patterns. For example, it analyzes that stress increases at specific times of the day or in specific situations and proposes improvement measures based on that. In addition, the lifestyle improvement unit can analyze the user's diary entries, identify causes and patterns of stress, and propose specific improvement measures based on that. For example, it proposes relaxation methods and stress relief techniques. In this way, the generation AI can analyze the user's diary entries, identify causes and patterns of stress, and propose specific improvement measures based on that.

[0063] The lifestyle improvement unit can track changes in health condition and lifestyle habits based on the user's diary entries and provide advice for long-term lifestyle improvements. In the lifestyle improvement unit, for example, the generation AI analyzes the user's diary entries and tracks changes in health condition and lifestyle habits. For example, the generation AI analyzes the health condition based on diet and exercise records and provides advice for long-term lifestyle improvements. In addition, the lifestyle improvement unit can track changes in lifestyle habits based on the user's diary entries. For example, the generation AI analyzes changes in sleep patterns and stress levels and provides advice for long-term lifestyle improvements. In addition, the lifestyle improvement unit can track changes in health condition and lifestyle habits based on the user's diary entries and provide advice for long-term lifestyle improvements. For example, the generation AI suggests a balanced diet and appropriate exercise. In this way, it is possible to track changes in health condition and lifestyle habits based on the user's diary entries and provide advice for long-term lifestyle improvements.

[0064] The lifestyle improvement unit can use the emotion estimation function to analyze emotional fluctuations from the user's diary entries and provide advice to stabilize the emotions. In the lifestyle improvement unit, for example, the generation AI analyzes the user's diary entries and estimates emotional fluctuations in real time. For example, it analyzes emotional changes from the diary content and provides advice to stabilize the emotions. In addition, the lifestyle improvement unit can analyze the user's diary entries and identify emotional fluctuations. For example, it can analyze that specific events or situations affect emotional fluctuations and provide advice based on that. In addition, the lifestyle improvement unit can analyze the user's diary entries, analyze emotional fluctuations, and provide advice to stabilize the emotions. For example, it can suggest relaxation methods or stress management methods. In this way, it can analyze emotional fluctuations from the user's diary entries and provide advice to stabilize the emotions.

[0065] The lifestyle improvement unit also provides dietary and exercise advice based on the user's diary entries, enabling comprehensive lifestyle improvements. For example, the generation AI analyzes the user's diary entries and provides comprehensive lifestyle improvement advice based on the user's dietary and exercise records. For example, it suggests a balanced diet and appropriate exercise. The lifestyle improvement unit also provides dietary and exercise advice based on the user's diary entries. For example, it suggests healthy meal menus and effective exercise plans. The lifestyle improvement unit also provides dietary and exercise advice based on the user's diary entries, enabling comprehensive lifestyle improvements. For example, it suggests improving diet and making exercise a habit. This allows the generation AI to provide dietary and exercise advice based on the user's diary entries, enabling comprehensive lifestyle improvements.

[0066] The life improvement unit can improve the quality of life by suggesting hobbies and leisure activities based on the user's diary entries. In the life improvement unit, for example, the generation AI analyzes the user's diary entries and suggests hobbies and leisure activities. For example, it suggests new hobbies and leisure activities that the user may be interested in. In addition, the life improvement unit can suggest hobbies and leisure activities based on the user's diary entries. For example, it suggests hobbies that allow the user to relax and leisure activities that the user can enjoy. In addition, the life improvement unit can improve the quality of life by suggesting hobbies and leisure activities based on the user's diary entries. For example, it suggests activities that are useful for relieving stress and refreshing the user. In this way, it is possible to suggest hobbies and leisure activities based on the user's diary entries and improve the quality of life.

[0067] The lifestyle improvement unit can use the emotion estimation function to suggest activities to promote positive changes in emotions from the user's diary entries. For example, the generation AI in the lifestyle improvement unit analyzes the user's diary entries and suggests activities to promote positive changes in emotions. For example, it suggests hobbies and relaxation methods that the user can enjoy. The generation AI in the lifestyle improvement unit also analyzes the user's diary entries and suggests activities to promote positive changes in emotions. For example, it suggests activities that refresh the user and methods for relieving stress. The generation AI in the lifestyle improvement unit also analyzes the user's diary entries and suggests activities to promote positive changes in emotions. For example, it suggests activities that relax the user and hobbies that the user can enjoy. In this way, it is possible to suggest activities to promote positive changes in emotions from the user's diary entries.

[0068] The art suggestion unit can suggest not only artworks but also interior designs and fashions based on the user's emotions and experiences. In the art suggestion unit, for example, the generation AI suggests interior designs based on the user's emotions and experiences. For example, it suggests interior designs that express the emotions felt by the user using colors and shapes. In addition, the art suggestion unit can suggest fashions based on the user's emotions and experiences. For example, it suggests fashion styles that reflect the user's emotions. In addition, the art suggestion unit can suggest interior designs and fashions based on the user's emotions and experiences. For example, it suggests interiors that the user can relax in and fashions that the user can enjoy. In this way, it is possible to suggest not only artworks but also interior designs and fashions based on the user's emotions and experiences.

[0069] The art suggestion unit can analyze artworks with different cultural and historical backgrounds and suggest artworks that most resonate with the user's emotions and experiences. For example, the generation AI in the art suggestion unit analyzes artworks with different cultural and historical backgrounds and suggests paintings that most resonate with the user's emotions and experiences. For example, it can suggest a new painting based on a historical painting that moved the user. The art suggestion unit can also analyze artworks with different cultural and historical backgrounds and suggest poetry that most resonates with the user's emotions and experiences. For example, it can suggest a new poem based on a poem that moved the user. The art suggestion unit can also analyze artworks with different cultural and historical backgrounds and suggest music that most resonates with the user's emotions and experiences. For example, it can suggest new music based on music that moved the user. This allows the generation AI to analyze artworks with different cultural and historical backgrounds and suggest artworks that most resonate with the user's emotions and experiences.

[0070] The art suggestion unit uses the emotion estimation function to analyze the emotions a user feels when viewing a work of art, and can suggest the next piece of art based on those emotions. For example, the art suggestion unit uses a generation AI to analyze the user's facial expressions and voice and estimate the emotions a user feels when viewing a work of art in real time. For example, when the user is moved, the unit suggests the next inspiring painting. The art suggestion unit also uses a generation AI to analyze the user's emotions and suggest the next piece of art based on those emotions. For example, when the user is relaxing, the unit suggests a relaxing painting. The art suggestion unit also uses a generation AI to analyze the user's emotions and suggest the next piece of art based on those emotions. For example, when the user is having fun, the unit suggests a painting that the user will enjoy. This allows the art suggestion unit to analyze the emotions a user feels when viewing a work of art, and can suggest the next piece of art based on those emotions.

[0071] The gift selection unit can not only suggest gifts, but also suggest gift wrapping methods and message card contents. In the gift selection unit, for example, the generation AI suggests gift wrapping methods, and provides wrapping designs that match the season or event, for example. For example, Christmas-themed wrapping is suggested for Christmas. In addition, the gift selection unit, the generation AI suggests message card contents. For example, based on the message the user wants to convey, it suggests appropriate message card examples. In addition, the gift selection unit, the generation AI suggests gift wrapping methods and message card contents. For example, it suggests wrapping designs and message card examples for the user to express their gratitude. This makes it possible to not only suggest gifts, but also suggest wrapping methods and message card contents.

[0072] The gift selection unit can analyze gift-giving customs of different cultures and regions and provide international gift selection advice. For example, the generating AI analyzes gift-giving customs of different cultures and regions and makes suggestions based on Japanese gift-giving customs and American gift-giving customs. For example, it might suggest mid-year gifts and year-end gifts to a Japanese friend. The gift selection unit can also analyze gift-giving customs of different cultures and regions and provide international gift selection advice. For example, it might suggest gifts based on the customs of different cultures and regions. The gift selection unit can also analyze gift-giving customs of different cultures and regions and provide international gift selection advice. For example, it might make suggestions based on the unique gift-giving customs of different cultures and regions. This allows the generating AI to analyze gift-giving customs of different cultures and regions and provide international gift selection advice.

[0073] The gift selection unit can use the emotion estimation function to predict the emotions of the recipient and suggest gifts based on those emotions. For example, the gift selection unit uses the generation AI to analyze the past reactions of the recipient and suggest the most suitable gift using the emotion estimation function. For example, it can suggest a new gift based on trends in gifts that have been enjoyed in the past. The gift selection unit can also use the generation AI to predict the emotions of the recipient and suggest gifts based on those emotions. For example, it can suggest gifts that will impress or delight the recipient. The gift selection unit can also use the generation AI to predict the emotions of the recipient and suggest gifts based on those emotions. For example, it can suggest gifts that will make the recipient feel grateful. This makes it possible to predict the emotions of the recipient and suggest gifts based on those emotions.

[0074] The art suggestion unit can suggest travel destinations and tourist spots based on the user's emotions and experiences. In the art suggestion unit, for example, the generation AI analyzes the user's interests and experiences and suggests travel destinations and tourist spots based on them. For example, it suggests travel destinations and tourist spots that the user might be interested in. In addition, the art suggestion unit can suggest travel destinations and tourist spots based on the user's emotions and experiences. For example, it suggests travel destinations where the user can relax and tourist spots that the user can enjoy. In addition, the art suggestion unit can suggest travel destinations and tourist spots based on the user's emotions and experiences. For example, it suggests travel destinations that will impress the user and tourist spots that interest them. In this way, it is possible to suggest travel destinations and tourist spots based on the user's emotions and experiences.

[0075] The art suggestion unit can analyze the user's living environment and make suggestions for interior and furniture arrangements. For example, the generation AI in the art suggestion unit analyzes the user's living environment and makes suggestions for interior and furniture arrangements. For example, it proposes interior designs and furniture arrangements that will allow the user to relax. In addition, the generation AI in the art suggestion unit analyzes the user's living environment and makes suggestions for interior and furniture arrangements. For example, it proposes interior designs and furniture arrangements that will allow the user to be comfortable. In addition, the generation AI in the art suggestion unit analyzes the user's living environment and makes suggestions for interior and furniture arrangements. For example, it proposes interior designs and furniture arrangements that the user will enjoy. In this way, the user's living environment can be analyzed and suggestions for interior and furniture arrangements can be made.

[0076] The art suggestion unit uses the emotion estimation function to suggest music and movies based on the user's emotions, thereby promoting positive emotional changes. For example, the art suggestion unit uses the generation AI to analyze the user's facial expressions and voice and suggest music using the emotion estimation function. For example, it suggests music that helps the user relax or inspiring music. The art suggestion unit also uses the generation AI to analyze the user's emotions and suggest movies based on those emotions. For example, it suggests movies that the user will enjoy or that will inspire them. The art suggestion unit also uses the generation AI to analyze the user's emotions and suggest music and movies based on those emotions. For example, it suggests music that helps the user relax or inspiring movies. This makes it possible to suggest music and movies based on the user's emotions and promote positive emotional changes.

[0077] The lifestyle improvement unit can analyze the user's lifestyle patterns and make suggestions for effective use of time and efficient schedule management. In the lifestyle improvement unit, for example, the generation AI analyzes the user's lifestyle patterns and makes suggestions for effective use of time. For example, it proposes a schedule that will allow the user to use their time efficiently. In addition, the lifestyle improvement unit can analyze the user's lifestyle patterns and make suggestions for efficient schedule management. For example, it proposes a schedule that will allow the user to complete tasks efficiently. In addition, the lifestyle improvement unit can analyze the user's lifestyle patterns and make suggestions for effective use of time and efficient schedule management. For example, it proposes a schedule that will allow the user to use their time effectively. In this way, the user's lifestyle patterns can be analyzed and suggestions for effective use of time and efficient schedule management can be made.

[0078] The lifestyle improvement unit can use the emotion estimation function to suggest relaxation methods and stress relief methods based on the user's emotions. For example, the generation AI in the lifestyle improvement unit analyzes the user's facial expressions and voice and uses the emotion estimation function to suggest relaxation methods. For example, it suggests music or activities that will help the user relax. The lifestyle improvement unit can also use the generation AI to analyze the user's emotions and suggest stress relief methods based on those emotions. For example, it suggests relaxation methods and activities that will help the user relieve stress. The lifestyle improvement unit can also use the generation AI to analyze the user's emotions and suggest relaxation methods and stress relief methods based on those emotions. For example, it suggests music that will help the user relax and activities that will help the user relieve stress. This makes it possible to suggest relaxation methods and stress relief methods based on the user's emotions.

[0079] The art suggestion unit can analyze a user's past behavioral history and interests and suggest new hobbies and activities. In the art suggestion unit, for example, the generation AI analyzes a user's past behavioral history and suggests new hobbies and activities. For example, it suggests a new hobbies based on activities that the user has enjoyed in the past. In addition, the art suggestion unit can analyze a user's interests and suggest new hobbies and activities based on that. For example, it suggests new hobbies and activities that the user may be interested in. In addition, the art suggestion unit can analyze a user's past behavioral history and interests and suggest new hobbies and activities. For example, it suggests new hobbies and activities that the user may enjoy. In this way, it is possible to analyze a user's past behavioral history and interests and suggest new hobbies and activities.

[0080] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0081] Creative Lifehack AI can also be equipped with a health management unit. The health management unit can analyze the user's health data and provide personalized health advice. For example, it can analyze the user's food records and suggest a nutritionally balanced meal plan. It can also provide an effective exercise plan based on the user's exercise data. It can also analyze the user's sleep data and provide advice on how to get quality sleep. This allows for comprehensive management of the user's health condition and improves the quality of life.

[0082] Creative Lifehack AI can also be equipped with a learning support unit. The learning support unit can analyze the user's learning history and interests and propose optimal learning plans. For example, it can suggest new learning resources based on the content the user has learned in the past and the areas of interest. It can also provide effective learning methods tailored to the user's learning style. It can also track the user's progress and provide appropriate feedback. This can improve the user's learning efficiency and support knowledge acquisition.

[0083] Creative Lifehack AI can also be equipped with a travel planning module. The travel planning module can analyze a user's past travel history and interests to propose optimal travel plans. For example, it can suggest new travel destinations based on places the user has visited in the past and tourist spots they are interested in. It can also provide travel plans tailored to the user's budget and schedule. It can also suggest accommodations and activities tailored to the user's preferences. This can enrich the user's travel experience and support a memorable trip.

[0084] Creative Lifehack AI can also use its emotion estimation function to suggest reading lists based on the user's emotions. For example, if the user wants to relax, it can suggest books that are relaxing. Or, if the user wants to be moved, it can suggest books with moving stories. It can also suggest books related to self-improvement or hobbies based on the user's emotions. This allows it to provide a reading experience that is tailored to the user's emotions and support spiritual enrichment.

[0085] Creative Lifehack AI can also use its emotion estimation function to suggest cooking recipes based on the user's emotions. For example, when a user wants to relax, it can suggest relaxing recipes. When a user wants to cheer up, it can suggest recipes that will replenish energy. It can also suggest recipes for special occasions based on the user's emotions. This allows it to provide a cooking experience that matches the user's emotions and support the enjoyment of eating.

[0086] Creative Lifehack AI can also use its emotion estimation function to suggest exercise plans based on the user's emotions. For example, when a user is feeling stressed, it can suggest an exercise plan that is effective for relieving stress. When a user wants to relax, it can suggest a relaxing yoga or stretching plan. It can also suggest an exercise plan to boost energy based on the user's emotions. This allows it to provide an exercise experience that is tailored to the user's emotions and support their health and happiness.

[0087] Creative Lifehack AI can also use its emotion estimation function to suggest music playlists based on the user's emotions. For example, when a user wants to relax, it can suggest a playlist of relaxing music. When a user wants to cheer up, it can suggest a playlist of music that will boost their energy. Furthermore, it can suggest music playlists that match specific moods based on the user's emotions. This allows it to provide a music experience that matches the user's emotions and enrich their daily life.

[0088] Creative Lifehack AI can also use its emotion estimation function to suggest movies and dramas based on the user's emotions. For example, if the user wants to relax, it can suggest relaxing movies and dramas. If the user wants to be moved, it can also suggest movies and dramas with moving stories. It can also suggest comedy movies and dramas that will make the user laugh based on the user's emotions. This allows it to provide a visual experience that matches the user's emotions and support spiritual enrichment.

[0089] Creative Lifehack AI can also be equipped with a pet care module. This module can analyze the health and behavior of the user's pet and suggest optimal care methods. For example, it can suggest healthy diet and exercise plans based on the pet's diet and exercise records. It can also analyze the pet's behavior and provide stress relief and relaxation methods. It can also monitor the pet's health and detect abnormalities early. This will support the health and happiness of the user's pet and enrich their life with their pet.

[0090] The Creative Lifehack AI can also be equipped with a household management unit. The household management unit can manage the user's household tasks and schedules and support efficient household management. For example, it can schedule tasks such as cleaning, cooking, and shopping and make suggestions for completing them efficiently. It can also manage household resources and support the purchase of necessary items and inventory management. It can also provide tools and advice to facilitate communication within the household. This can help users run their household more efficiently and improve their quality of life.

[0091] The processing flow of the second embodiment will be briefly explained below.

[0092] Step 1: The gift selection unit suggests the best gift based on the information entered by the user. For example, if a user enters a question such as "What should I give my friend for his / her birthday?", the generation AI will suggest the best gift by taking into consideration the friend's hobbies and past gift-giving history. The input to the generation AI is a prompt containing instructions on what the user wants the generation AI to do, and the generation AI generates gift selection advice based on that prompt. Step 2: The art suggestion unit suggests artworks based on the user's emotions and experiences. For example, if a user inputs a request such as "I want to turn my recent travel memories into art," the generation AI analyzes the details and emotions of the trip and suggests artworks such as paintings, poems, and music based on that. The input to the generation AI is a prompt containing instructions on what the user wants the generation AI to do, and the generation AI generates suggested artworks based on that prompt. Step 3: The lifestyle improvement unit analyzes the user's diary entries and provides lifestyle improvement advice. For example, if a user inputs a request such as "I want to know how to reduce my recent stress," the generation AI analyzes the diary entries and suggests the causes of stress and ways to improve it. The input to the generation AI is a prompt containing instructions on what the user wants the generation AI to do, and the generation AI generates lifestyle improvement advice based on that prompt.

[0093] 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.

[0094] 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.

[0095] 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.

[0096] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0097] 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0098] 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.

[0099] 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.

[0100] 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.

[0101] 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).

[0102] 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.

[0103] 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.

[0104] 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.

[0105] 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 the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0106] 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. Note that the smart glasses 214 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0107] 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.

[0108] 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.

[0109] 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.

[0110] 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.

[0111] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0112] 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.

[0113] 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.

[0114] 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.

[0115] 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.

[0116] 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).

[0117] 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.

[0118] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset 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.

[0119] 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.

[0120] 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 the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0121] 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 may also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0122] 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.

[0123] 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.

[0124] 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.

[0125] 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.

[0126] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0127] 7, a 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.

[0128] 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.

[0129] 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.

[0130] 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.

[0131] 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).

[0132] 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.

[0133] 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.

[0134] 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.

[0135] 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.

[0136] 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 the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0137] In the robot 414, the processor 46 performs the identification process. 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. The robot 414 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0138] 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.

[0139] 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.

[0140] 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.

[0141] 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.

[0142] 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.

[0143] 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.

[0144] 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.

[0145] 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).

[0146] 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.

[0147] 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."

[0148] 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.

[0149] 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.

[0150] 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.

[0151] 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.

[0152] 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.

[0153] 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.

[0154] 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.

[0155] 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.

[0156] 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.

[0157] 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.

[0158] 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, in order to avoid confusion and to 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.

[0159] 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]

[0160] 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. a gift selection unit that proposes the most suitable gift based on the information input by the user; an art suggestion unit that suggests an art piece based on the gift suggested by the gift selection unit; a lifestyle improvement unit that provides lifestyle improvement advice based on the artwork proposed by the art suggestion unit. A system characterized by:

2. The gift selection unit Analyzing trends in gifts according to seasons or events in real time and proposing gifts based on the latest trends 2. The system of claim 1.

3. The art proposal unit: Using an emotion estimation function, the emotions of the user are analyzed in real time, and the artwork that best suits the emotions at that moment is suggested.

2. The system of claim 1.

4. The life improvement department Based on the user's diary entries, the health status and changes in lifestyle habits are tracked and the advice for long-term lifestyle improvements is provided.

2. The system of claim 1.

5. The life improvement department Using the emotion estimation function, relaxation methods and stress relief methods are proposed based on the user's emotions.

2. The system of claim 1.

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