System

Abstract

To address the discontinuation of history caused by a shortage of successors in traditional craft and techniques.SOLUTION: A system includes: means for using AI to analyze traditional craft and technical skills, preserve them, and register them into a database; means for preserving such skills permanently even after retirement; and means for matching with those who desire rights and granting performance-based compensation.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 a description and related instruction sentence regarding 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] JP 2022-180282 A Summary of the Invention [Problem to be solved by the invention]

[0004] This invention aims to solve the problem of traditional crafts and techniques being lost due to a lack of successors. [Means for solving the problem]

[0005] The system includes a means to use AI to analyze, preserve, and database traditional craft and technical skills, a means to preserve the skills permanently even after retirement, and a means to match those who wish to use the rights with those who wish to receive compensation. [Brief description of the drawings]

[0006] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Diagram 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. FIG. [Diagram 3] FIG. 11 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Diagram 5] FIG. 13 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. 13 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 13 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 PREFERRED EMBODIMENTS

[0007] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0008] First, the terms used in the following description will be explained.

[0009] In the following embodiments, a signed processor (hereinafter simply referred to as a "processor") may be one arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be one 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).

[0010] In the following embodiments, a signed RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by the processor.

[0011] 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.

[0012] In the following embodiments, a communication I / F (Interface) with a code is an interface including a communication processor and an antenna. The communication I / F controls communication between multiple computers. An example of a communication standard applied to the communication I / F is a wireless communication standard including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0013] 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. In addition, in this specification, the same idea as "A and / or B" is also applied when three or more things are expressed by connecting them with "and / or."

[0014] [First embodiment] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0015] 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.

[0016] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the 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 wide area network (WAN) and / or a local area network (LAN).

[0017] 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.

[0018] 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 (e.g., 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 indicative of 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 indicative of the user input.

[0019] The 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., voice and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs voice according to instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, an aperture, and a shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0020] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for transmitting and receiving various types of information between the processor 46 and the processor 28 via the network 54.

[0021] FIG. 2 shows an example of main functions of the data processing device 12 and the smart device 14.

[0022] As shown in Fig. 2, 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. The specific process program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific process program 56 from the storage 32, and executes the read specific process 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 process program 56 executed on the RAM 30.

[0023] 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.

[0024] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores a reception output program 60. The reception output program 60 is used together with the specific processing program 56 by the data processing system 10. The processor 46 reads out the reception output program 60 from the storage 50, and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0025] 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 ChatGPT server) may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (such as a prediction result) using the data generation model 58 by communicating with the server device having the data generation model 58. In addition, the data processing device 12 may be a server device, or may be a terminal device (e.g., a mobile phone, a robot, or a home appliance) owned by a user. Next, the identification process by the identification processing unit 290 of the data processing device 12 will be described.

[0026] (Example 1) An embodiment of the present invention is a system that includes a means for analyzing traditional crafts and technical skills using AI, storing them, and creating a database, a means for realizing the permanent preservation of the skills, and a means for matching with those who wish to acquire the rights and receiving a reward. Specifically, the skills of artisans are collected as digital data and analyzed using an AI algorithm to extract patterns of features and techniques. These data are stored in a database, allowing the skills of retired artisans to be preserved forever. In addition, those who wish to use the skills can search the database and be matched with artisans who have the desired skills, thereby using the skills and entering into a contract, and receiving a reward. (Example 2) The embodiment of the present invention uses image recognition technology as a means of analyzing traditional crafts and technical skills using AI. Specifically, image data of a craftsman's technique is input into an AI system, and the characteristics and patterns of the technique are extracted using an image recognition algorithm. This makes it possible to digitize the craftsman's technique and store it in a database. (Example 3) A feature of the embodiment of the present invention is that, as a means of obtaining a performance-based remuneration, a remuneration is received based on a contract with a user of the technology. Specifically, a person who wishes to use a technology searches the database, contacts a craftsman who possesses the desired technology, and enters into a contract. The technology is used and a performance-based remuneration is paid based on the contents of the contract. For example, a company that wishes to use a certain traditional craft technology finds a corresponding craftsman in the database and obtains the right to use the technology by entering into a contract for technology use. After that, a performance-based remuneration according to the use of the technology is paid to the craftsman.

[0027] The process flow of each embodiment will be described below.

[0028] (Example 1) Step 1: In order to collect digital data on artisanal techniques, image data is collected that captures the artisan's work process and techniques. Step 2: Using AI algorithms, the collected image data is analysed and technical features and patterns are extracted. Step 3: The extracted skills features and patterns are stored in a database to permanently preserve the skills of retired craftsmen. Step 4: Those wanting to use the technology search the database and are matched with artisans who possess the desired skills. Step 5: Use technology or enter into contracts and receive performance-based compensation. (Example 2) Step 1: In order to digitize the artisan's techniques, image data is collected that captures the artisan's work processes and techniques. Step 2: Use image recognition technology to extract technical features and patterns from the collected image data. Step 3: The extracted technology features and patterns are stored in a database to ensure permanent preservation of the technology. Step 4: Those who wish to use the technology search the database and contact artisans who possess the desired skills. Step 5: Enter into a technology usage agreement and make payment of commission. (Example 3) Step 1: The technology user searches the database to find a craftsman with the desired technology. Step 2: The technology user contacts the artisan and enters into a contract for the use of the technology. Step 3: Based on the terms of the contract, the technology will be used and payment will be made as a result of the contract. Step 4: The technology user uses the technology based on the contract and obtains the results. Step 5: The craftsman receives a reward based on the use of the technology.

[0029] Furthermore, an emotion engine that estimates the emotion of the user may be combined. That is, the identification processing unit 290 may estimate the emotion of the user using the emotion identification model 59, and perform identification processing using the emotion of the user.

[0030] (Example 1) The embodiment of the present invention is a system that combines a means for analyzing traditional crafts and technical skills using AI, storing them, and creating a database, a means for realizing the permanent preservation of the skills, a means for matching with those who wish to acquire the rights and obtaining a reward for their achievement, and an emotion engine that recognizes the emotions of the user. Specifically, the emotion engine analyzes data such as voice, facial expression, and text, and recognizes the emotions of the user. This allows for more appropriate matching between technology users and craftsmen. For example, when a technology user searches the database and finds a craftsman with a desired technology, the emotion engine recognizes the emotion of the technology user and uses that information to determine the appropriateness of matching with the craftsman. This allows for more satisfying matching for technology users. (Example 2) An embodiment of the present invention is a system that combines a means for analyzing, storing, and database-izing traditional craft and technical skills using AI, a means for realizing permanent preservation of the skills, a means for matching with those who wish to acquire the rights and obtaining a reward for their achievement, and an emotion engine that recognizes the emotions of the user. Specifically, the emotion engine analyzes the user's voice data and grasps the changes and strength of emotions. As a result, when a technology user communicates with a craftsman, the emotion engine can recognize the user's emotions and provide appropriate responses and advice. For example, when a technology user consults about a specific technology, the emotion engine can recognize the user's emotions, and if the technology user feels anxious or nervous, it can encourage the craftsman to provide a more detailed explanation and support. (Example 3) An embodiment of the present invention is a system that combines a means for analyzing, storing, and database-izing traditional craft and technical skills using AI, a means for realizing permanent preservation of the skills, a means for matching with those who wish to acquire rights and obtaining rewards, and an emotion engine that recognizes the emotions of the user. Specifically, the emotion engine analyzes the user's text data and grasps their emotions and intentions. As a result, when a technology user searches for technical information in the database, the emotion engine can recognize the user's emotions and provide appropriate technical information. For example, if a technology user is interested in a particular technology, the emotion engine can grasp the degree of interest from the user's text and preferentially display related technical information.

[0031] The process flow of each embodiment will be described below.

[0032] (Example 1) Step 1: Input the user's voice, facial expressions, text, and other data into the emotion engine. Step 2: The emotion engine analyzes the input data and recognizes the user's emotion. Step 3: The emotion engine uses the recognized user emotion information to determine the suitability of matching between the technology user and the craftsman. Step 4: The technology user searches the database to find a craftsman with the desired technology. Step 5: The emotion engine utilizes the emotion information of the technology user to recommend artisans based on the suitability of the match. Step 6: The technology user contacts the recommended craftsmen and enters into a contract or uses the technology. Step 7: When a performance-based reward is generated, the emotion engine uses the emotion information of the technology user to make an appropriate payment of the reward. (Example 2) Step 1: Input the user's voice data into the emotion engine. Step 2: The emotion engine analyzes the input voice data and understands the changes and strength of the user's emotions. Step 3: When the technology user communicates with the artisan, the emotion engine uses the user's emotion information to provide appropriate responses and advice. Step 4: The technology user searches the database to find a craftsman with the desired technology. Step 5: The emotion engine uses the emotion information of the technology user to determine the suitability of matching with a craftsman. Step 6: The technology user selects a craftsman based on the suitability of the match, contacts him, and enters into a contract or uses the technology. Step 7: When a performance-based reward is generated, the emotion engine uses the emotion information of the technology user to make an appropriate payment of the reward. (Example 3) Step 1: Input user's text data into the emotion engine. Step 2: The emotion engine analyzes the input text data and understands emotions and intent. Step 3: When a technology user searches for technical information in the database, the emotion engine utilizes the user's emotion information to provide appropriate technical information. Step 4: The technology user searches the database to find a craftsman with the desired technology. Step 5: The emotion engine uses the emotion information of the technology user to determine the suitability of matching with a craftsman. Step 6: The technology user selects a craftsman based on the suitability of the match, contacts him, and enters into a contract or uses the technology. Step 7: When a performance-based reward is generated, the emotion engine uses the emotion information of the technology user to make an appropriate payment of the reward.

[0033] 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 a voice indicating a user input for the result of the specific processing. The control unit 46A transmits the voice 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 voice data.

[0034] 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> ) and other generation AIs. The data generation model 58 is obtained by making a neural network perform deep learning. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating a voice, text data indicating a text, and image data indicating an image is input. The data generation model 58 performs inference on the input inference data according to 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 while using the data generation model 58.

[0035] In the above embodiment, an example was given in which the specific process was performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0036] [Second embodiment]

[0037] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0038] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0039] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the 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 wide area network (WAN) and / or a local area network (LAN).

[0040] 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.

[0041] 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 the voice according to instructions from the processor 46.

[0042] Camera 42 is a small digital camera equipped with an optical system including a lens, an aperture, and a 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 (e.g., an imaging range defined by an angle of view equivalent to the width of the field of vision of an average healthy person).

[0043] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for transmitting and receiving various types of information between the processor 46 and the processor 28 via the network 54. The transmission and reception of various types of information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is performed in a secure state.

[0044] Fig. 4 shows an example of 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.

[0045] 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 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.

[0046] 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.

[0047] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50, and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0048] 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 ChatGPT server) may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (such as a prediction result) using the data generation model 58 by communicating with the server device having the data generation model 58. In addition, the data processing device 12 may be a server device, or may be a terminal device (e.g., a mobile phone, a robot, or a home appliance) owned by a user. Next, the identification process by the identification processing unit 290 of the data processing device 12 will be described.

[0049] (Example 1) An embodiment of the present invention is a system that includes a means for analyzing traditional crafts and technical skills using AI, storing them, and creating a database, a means for realizing the permanent preservation of the skills, and a means for matching with those who wish to acquire the rights and receiving a reward. Specifically, the skills of artisans are collected as digital data and analyzed using an AI algorithm to extract patterns of features and techniques. These data are stored in a database, allowing the skills of retired artisans to be preserved forever. In addition, those who wish to use the skills can search the database and be matched with artisans who have the desired skills, thereby using the skills and entering into a contract, and receiving a reward. (Example 2) The embodiment of the present invention uses image recognition technology as a means of analyzing traditional crafts and technical skills using AI. Specifically, image data of a craftsman's technique is input into an AI system, and the characteristics and patterns of the technique are extracted using an image recognition algorithm. This makes it possible to digitize the craftsman's technique and store it in a database. (Example 3) A feature of the embodiment of the present invention is that, as a means of obtaining a performance-based remuneration, a remuneration is received based on a contract with a user of the technology. Specifically, a person who wishes to use a technology searches the database, contacts a craftsman who possesses the desired technology, and enters into a contract. The technology is used and a performance-based remuneration is paid based on the contents of the contract. For example, a company that wishes to use a certain traditional craft technology finds a corresponding craftsman in the database and obtains the right to use the technology by entering into a contract for technology use. After that, a performance-based remuneration according to the use of the technology is paid to the craftsman.

[0050] The process flow of each embodiment will be described below.

[0051] (Example 1) Step 1: In order to collect digital data on artisanal techniques, image data is collected that captures the artisan's work process and techniques. Step 2: Using AI algorithms, the collected image data is analysed and technical features and patterns are extracted. Step 3: The extracted skills features and patterns are stored in a database to permanently preserve the skills of retired craftsmen. Step 4: Those wanting to use the technology search the database and are matched with artisans who possess the desired skills. Step 5: Use technology or enter into contracts and receive performance-based compensation. (Example 2) Step 1: In order to digitize the artisan's techniques, image data is collected that captures the artisan's work processes and techniques. Step 2: Use image recognition technology to extract technical features and patterns from the collected image data. Step 3: The extracted technology features and patterns are stored in a database to ensure permanent preservation of the technology. Step 4: Those who wish to use the technology search the database and contact artisans who possess the desired skills. Step 5: Enter into a technology usage agreement and make payment of commission. (Example 3) Step 1: The technology user searches the database to find a craftsman with the desired technology. Step 2: The technology user contacts the artisan and enters into a contract for the use of the technology. Step 3: Based on the terms of the contract, the technology will be used and payment will be made as a result of the contract. Step 4: The technology user uses the technology based on the contract and obtains the results. Step 5: The craftsman receives a reward based on the use of the technology.

[0052] In addition, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0053] (Example 1) The embodiment of the present invention is a system that combines a means for analyzing traditional crafts and technical skills using AI, storing them, and creating a database, a means for realizing the permanent preservation of the skills, a means for matching with those who wish to acquire the rights and obtaining a reward for their achievement, and an emotion engine that recognizes the emotions of the user. Specifically, the emotion engine analyzes data such as voice, facial expression, and text, and recognizes the emotions of the user. This allows for more appropriate matching between technology users and craftsmen. For example, when a technology user searches the database and finds a craftsman with a desired technology, the emotion engine recognizes the emotion of the technology user and uses that information to determine the appropriateness of matching with the craftsman. This allows for more satisfying matching for technology users. (Example 2) An embodiment of the present invention is a system that combines a means for analyzing, storing, and database-izing traditional craft and technical skills using AI, a means for realizing permanent preservation of the skills, a means for matching with those who wish to acquire the rights and obtaining a reward for their achievement, and an emotion engine that recognizes the emotions of the user. Specifically, the emotion engine analyzes the user's voice data and grasps the changes and strength of emotions. As a result, when a technology user communicates with a craftsman, the emotion engine can recognize the user's emotions and provide appropriate responses and advice. For example, when a technology user consults about a specific technology, the emotion engine can recognize the user's emotions, and if the technology user feels anxious or nervous, it can encourage the craftsman to provide a more detailed explanation and support. (Example 3) An embodiment of the present invention is a system that combines a means for analyzing, storing, and database-izing traditional craft and technical skills using AI, a means for realizing permanent preservation of the skills, a means for matching with those who wish to acquire rights and obtaining rewards, and an emotion engine that recognizes the emotions of the user. Specifically, the emotion engine analyzes the user's text data and grasps their emotions and intentions. As a result, when a technology user searches for technical information in the database, the emotion engine can recognize the user's emotions and provide appropriate technical information. For example, if a technology user is interested in a particular technology, the emotion engine can grasp the degree of interest from the user's text and preferentially display related technical information.

[0054] The process flow of each embodiment will be described below.

[0055] (Example 1) Step 1: Input the user's voice, facial expressions, text, and other data into the emotion engine. Step 2: The emotion engine analyzes the input data and recognizes the user's emotion. Step 3: The emotion engine uses the recognized user emotion information to determine the suitability of matching between the technology user and the craftsman. Step 4: The technology user searches the database to find a craftsman with the desired technology. Step 5: The emotion engine utilizes the emotion information of the technology user to recommend artisans based on the suitability of the match. Step 6: The technology user contacts the recommended craftsmen and enters into a contract or uses the technology. Step 7: When a performance-based reward is generated, the emotion engine uses the emotion information of the technology user to make an appropriate payment of the reward. (Example 2) Step 1: Input the user's voice data into the emotion engine. Step 2: The emotion engine analyzes the input voice data and understands the changes and strength of the user's emotions. Step 3: When the technology user communicates with the artisan, the emotion engine uses the user's emotion information to provide appropriate responses and advice. Step 4: The technology user searches the database to find a craftsman with the desired technology. Step 5: The emotion engine uses the emotion information of the technology user to determine the suitability of matching with a craftsman. Step 6: The technology user selects a craftsman based on the suitability of the match, contacts him, and enters into a contract or uses the technology. Step 7: When a performance-based reward is generated, the emotion engine uses the emotion information of the technology user to make an appropriate payment of the reward. (Example 3) Step 1: Input user's text data into the emotion engine. Step 2: The emotion engine analyzes the input text data and understands emotions and intent. Step 3: When a technology user searches for technical information in the database, the emotion engine utilizes the user's emotion information to provide appropriate technical information. Step 4: The technology user searches the database to find a craftsman with the desired technology. Step 5: The emotion engine uses the emotion information of the technology user to determine the suitability of matching with a craftsman. Step 6: The technology user selects a craftsman based on the suitability of the match, contacts him, and enters into a contract or uses the technology. Step 7: When a performance-based reward is generated, the emotion engine uses the emotion information of the technology user to make an appropriate payment of the reward.

[0056] 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 a voice indicating a user input for the result of the specific processing. The control unit 46A transmits the 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.

[0057] 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> ) and other generation AIs. The data generation model 58 is obtained by making a neural network perform deep learning. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating a voice, text data indicating a text, and image data indicating an image is input. The data generation model 58 performs inference on the input inference data according to 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 while using the data generation model 58.

[0058] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0059] [Third embodiment]

[0060] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0061] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0062] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the 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 wide area network (WAN) and / or a local area network (LAN).

[0063] 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.

[0064] 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 the voice according to instructions from the processor 46.

[0065] Camera 42 is a small digital camera equipped with an optical system including a lens, an aperture, and a 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 (e.g., an imaging range defined by an angle of view equivalent to the width of the field of vision of an average healthy person).

[0066] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for transmitting and receiving various types of information between the processor 46 and the processor 28 via the network 54. The transmission and reception of various types of information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is performed in a secure state.

[0067] Fig. 6 shows an example of main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0068] 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 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.

[0069] 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.

[0070] In the headset type terminal 314, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50, and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0071] 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 ChatGPT server) may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (such as a prediction result) using the data generation model 58 by communicating with the server device having the data generation model 58. In addition, the data processing device 12 may be a server device, or may be a terminal device (e.g., a mobile phone, a robot, or a home appliance) owned by a user. Next, the identification process by the identification processing unit 290 of the data processing device 12 will be described.

[0072] (Example 1) An embodiment of the present invention is a system that includes a means for analyzing traditional crafts and technical skills using AI, storing them, and creating a database, a means for realizing the permanent preservation of the skills, and a means for matching with those who wish to acquire the rights and receiving a reward. Specifically, the skills of artisans are collected as digital data and analyzed using an AI algorithm to extract patterns of features and techniques. These data are stored in a database, allowing the skills of retired artisans to be preserved forever. In addition, those who wish to use the skills can search the database and be matched with artisans who have the desired skills, thereby using the skills and entering into a contract, and receiving a reward. (Example 2) The embodiment of the present invention uses image recognition technology as a means of analyzing traditional crafts and technical skills using AI. Specifically, image data of a craftsman's technique is input into an AI system, and the characteristics and patterns of the technique are extracted using an image recognition algorithm. This makes it possible to digitize the craftsman's technique and store it in a database. (Example 3) A feature of the embodiment of the present invention is that, as a means of obtaining a performance-based remuneration, a remuneration is received based on a contract with a user of the technology. Specifically, a person who wishes to use a technology searches the database, contacts a craftsman who possesses the desired technology, and enters into a contract. The technology is used and a performance-based remuneration is paid based on the contents of the contract. For example, a company that wishes to use a certain traditional craft technology finds a corresponding craftsman in the database and obtains the right to use the technology by entering into a contract for technology use. After that, a performance-based remuneration according to the use of the technology is paid to the craftsman.

[0073] The process flow of each embodiment will be described below.

[0074] (Example 1) Step 1: In order to collect digital data on artisanal techniques, image data is collected that captures the artisan's work process and techniques. Step 2: Using AI algorithms, the collected image data is analysed and technical features and patterns are extracted. Step 3: The extracted skills features and patterns are stored in a database to permanently preserve the skills of retired craftsmen. Step 4: Those wanting to use the technology search the database and are matched with artisans who possess the desired skills. Step 5: Use technology or enter into contracts and receive performance-based compensation. (Example 2) Step 1: In order to digitize the artisan's techniques, image data is collected that captures the artisan's work processes and techniques. Step 2: Use image recognition technology to extract technical features and patterns from the collected image data. Step 3: The extracted technology features and patterns are stored in a database to ensure permanent preservation of the technology. Step 4: Those who wish to use the technology search the database and contact artisans who possess the desired skills. Step 5: Enter into a technology usage agreement and make payment of commission. (Example 3) Step 1: The technology user searches the database to find a craftsman with the desired technology. Step 2: The technology user contacts the artisan and enters into a contract for the use of the technology. Step 3: Based on the terms of the contract, the technology will be used and payment will be made as a result of the contract. Step 4: The technology user uses the technology based on the contract and obtains the results. Step 5: The craftsman receives a reward based on the use of the technology.

[0075] In addition, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0076] (Example 1) The embodiment of the present invention is a system that combines a means for analyzing traditional crafts and technical skills using AI, storing them, and creating a database, a means for realizing the permanent preservation of the skills, a means for matching with those who wish to acquire the rights and obtaining a reward for their achievement, and an emotion engine that recognizes the emotions of the user. Specifically, the emotion engine analyzes data such as voice, facial expression, and text, and recognizes the emotions of the user. This allows for more appropriate matching between technology users and craftsmen. For example, when a technology user searches the database and finds a craftsman with a desired technology, the emotion engine recognizes the emotion of the technology user and uses that information to determine the appropriateness of matching with the craftsman. This allows for more satisfying matching for technology users. (Example 2) An embodiment of the present invention is a system that combines a means for analyzing, storing, and database-izing traditional craft and technical skills using AI, a means for realizing permanent preservation of the skills, a means for matching with those who wish to acquire the rights and obtaining a reward for their achievement, and an emotion engine that recognizes the emotions of the user. Specifically, the emotion engine analyzes the user's voice data and grasps the changes and strength of emotions. As a result, when a technology user communicates with a craftsman, the emotion engine can recognize the user's emotions and provide appropriate responses and advice. For example, when a technology user consults about a specific technology, the emotion engine can recognize the user's emotions, and if the technology user feels anxious or nervous, it can encourage the craftsman to provide a more detailed explanation and support. (Example 3) An embodiment of the present invention is a system that combines a means for analyzing, storing, and database-izing traditional craft and technical skills using AI, a means for realizing permanent preservation of the skills, a means for matching with those who wish to acquire rights and obtaining rewards, and an emotion engine that recognizes the emotions of the user. Specifically, the emotion engine analyzes the user's text data and grasps their emotions and intentions. As a result, when a technology user searches for technical information in the database, the emotion engine can recognize the user's emotions and provide appropriate technical information. For example, if a technology user is interested in a particular technology, the emotion engine can grasp the degree of interest from the user's text and preferentially display related technical information.

[0077] The process flow of each embodiment will be described below.

[0078] (Example 1) Step 1: Input the user's voice, facial expressions, text, and other data into the emotion engine. Step 2: The emotion engine analyzes the input data and recognizes the user's emotion. Step 3: The emotion engine uses the recognized user emotion information to determine the suitability of matching between the technology user and the craftsman. Step 4: The technology user searches the database to find a craftsman with the desired technology. Step 5: The emotion engine utilizes the emotion information of the technology user to recommend artisans based on the suitability of the match. Step 6: The technology user contacts the recommended craftsmen and enters into a contract or uses the technology. Step 7: When a performance-based reward is generated, the emotion engine uses the emotion information of the technology user to make an appropriate payment of the reward. (Example 2) Step 1: Input the user's voice data into the emotion engine. Step 2: The emotion engine analyzes the input voice data and understands the changes and strength of the user's emotions. Step 3: When the technology user communicates with the artisan, the emotion engine uses the user's emotion information to provide appropriate responses and advice. Step 4: The technology user searches the database to find a craftsman with the desired technology. Step 5: The emotion engine uses the emotion information of the technology user to determine the suitability of matching with a craftsman. Step 6: The technology user selects a craftsman based on the suitability of the match, contacts him, and enters into a contract or uses the technology. Step 7: When a performance-based reward is generated, the emotion engine uses the emotion information of the technology user to make an appropriate payment of the reward. (Example 3) Step 1: Input user's text data into the emotion engine. Step 2: The emotion engine analyzes the input text data and understands emotions and intent. Step 3: When a technology user searches for technical information in the database, the emotion engine utilizes the user's emotion information to provide appropriate technical information. Step 4: The technology user searches the database to find a craftsman with the desired technology. Step 5: The emotion engine uses the emotion information of the technology user to determine the suitability of matching with a craftsman. Step 6: The technology user selects a craftsman based on the suitability of the match, contacts him, and enters into a contract or uses the technology. Step 7: When a performance-based reward is generated, the emotion engine uses the emotion information of the technology user to make an appropriate payment of the reward.

[0079] 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 voice indicating a user input for 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.

[0080] 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> ) and other generation AIs. The data generation model 58 is obtained by making a neural network perform deep learning. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating a voice, text data indicating a text, and image data indicating an image is input. The data generation model 58 performs inference on the input inference data according to 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 while using the data generation model 58.

[0081] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314. [Fourth embodiment]

[0082] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0083] 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.

[0084] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the 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 wide area network (WAN) and / or a local area network (LAN).

[0085] 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. In addition, the microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[0086] 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 the voice according to instructions from the processor 46.

[0087] Camera 42 is a small digital camera equipped with an optical system including a lens, an aperture, and a 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 (e.g., an imaging range defined by an angle of view equivalent to the width of the field of vision of an average healthy person).

[0088] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for transmitting and receiving various types of information between the processor 46 and the processor 28 via the network 54. The transmission and reception of various types of information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is performed in a secure state.

[0089] The control target 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, legs, etc. The posture and behavior of the robot 414 are controlled by controlling the motors of the arms, hands, legs, etc. 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.

[0090] Fig. 8 shows an example of 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.

[0091] 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 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.

[0092] 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.

[0093] In the robot 414, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. The processor 46 reads the reception output program 60 from the storage 50, and executes the read reception output program 60 on the RAM 48. The reception output process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0094] 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 ChatGPT server) may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (such as a prediction result) using the data generation model 58 by communicating with the server device having the data generation model 58. In addition, the data processing device 12 may be a server device, or may be a terminal device (e.g., a mobile phone, a robot, or a home appliance) owned by a user. Next, the identification process by the identification processing unit 290 of the data processing device 12 will be described.

[0095] (Example 1) An embodiment of the present invention is a system that includes a means for analyzing traditional crafts and technical skills using AI, storing them, and creating a database, a means for realizing the permanent preservation of the skills, and a means for matching with those who wish to acquire the rights and receiving a reward. Specifically, the skills of artisans are collected as digital data and analyzed using an AI algorithm to extract patterns of features and techniques. These data are stored in a database, allowing the skills of retired artisans to be preserved forever. In addition, those who wish to use the skills can search the database and be matched with artisans who have the desired skills, thereby using the skills and entering into a contract, and receiving a reward. (Example 2) The embodiment of the present invention uses image recognition technology as a means of analyzing traditional crafts and technical skills using AI. Specifically, image data of a craftsman's technique is input into an AI system, and the characteristics and patterns of the technique are extracted using an image recognition algorithm. This makes it possible to digitize the craftsman's technique and store it in a database. (Example 3) A feature of the embodiment of the present invention is that, as a means of obtaining a performance-based remuneration, a remuneration is received based on a contract with a user of the technology. Specifically, a person who wishes to use a technology searches the database, contacts a craftsman who possesses the desired technology, and enters into a contract. The technology is used and a performance-based remuneration is paid based on the contents of the contract. For example, a company that wishes to use a certain traditional craft technology finds a corresponding craftsman in the database and obtains the right to use the technology by entering into a contract for technology use. After that, a performance-based remuneration according to the use of the technology is paid to the craftsman.

[0096] The process flow of each embodiment will be described below.

[0097] (Example 1) Step 1: In order to collect digital data on artisanal techniques, image data is collected that captures the artisan's work process and techniques. Step 2: Using AI algorithms, the collected image data is analysed and technical features and patterns are extracted. Step 3: The extracted skills features and patterns are stored in a database to permanently preserve the skills of retired craftsmen. Step 4: Those wanting to use the technology search the database and are matched with artisans who possess the desired skills. Step 5: Use technology or enter into contracts and receive performance-based compensation. (Example 2) Step 1: In order to digitize the artisan's techniques, image data is collected that captures the artisan's work processes and techniques. Step 2: Use image recognition technology to extract technical features and patterns from the collected image data. Step 3: The extracted technology features and patterns are stored in a database to ensure permanent preservation of the technology. Step 4: Those who wish to use the technology search the database and contact artisans who possess the desired skills. Step 5: Enter into a technology usage agreement and make payment of commission. (Example 3) Step 1: The technology user searches the database to find a craftsman with the desired technology. Step 2: The technology user contacts the artisan and enters into a contract for the use of the technology. Step 3: Based on the terms of the contract, the technology will be used and payment will be made as a result of the contract. Step 4: The technology user uses the technology based on the contract and obtains the results. Step 5: The craftsman receives a reward based on the use of the technology.

[0098] In addition, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0099] (Example 1) The embodiment of the present invention is a system that combines a means for analyzing traditional crafts and technical skills using AI, storing them, and creating a database, a means for realizing the permanent preservation of the skills, a means for matching with those who wish to acquire the rights and obtaining a reward for their achievement, and an emotion engine that recognizes the emotions of the user. Specifically, the emotion engine analyzes data such as voice, facial expression, and text, and recognizes the emotions of the user. This allows for more appropriate matching between technology users and craftsmen. For example, when a technology user searches the database and finds a craftsman with a desired technology, the emotion engine recognizes the emotion of the technology user and uses that information to determine the appropriateness of matching with the craftsman. This allows for more satisfying matching for technology users. (Example 2) An embodiment of the present invention is a system that combines a means for analyzing, storing, and database-izing traditional craft and technical skills using AI, a means for realizing permanent preservation of the skills, a means for matching with those who wish to acquire the rights and obtaining a reward for their achievement, and an emotion engine that recognizes the emotions of the user. Specifically, the emotion engine analyzes the user's voice data and grasps the changes and strength of emotions. As a result, when a technology user communicates with a craftsman, the emotion engine can recognize the user's emotions and provide appropriate responses and advice. For example, when a technology user consults about a specific technology, the emotion engine can recognize the user's emotions, and if the technology user feels anxious or nervous, it can encourage the craftsman to provide a more detailed explanation and support. (Example 3) An embodiment of the present invention is a system that combines a means for analyzing, storing, and database-izing traditional craft and technical skills using AI, a means for realizing permanent preservation of the skills, a means for matching with those who wish to acquire rights and obtaining rewards, and an emotion engine that recognizes the emotions of the user. Specifically, the emotion engine analyzes the user's text data and grasps their emotions and intentions. As a result, when a technology user searches for technical information in the database, the emotion engine can recognize the user's emotions and provide appropriate technical information. For example, if a technology user is interested in a particular technology, the emotion engine can grasp the degree of interest from the user's text and preferentially display related technical information.

[0100] The process flow of each embodiment will be described below.

[0101] (Example 1) Step 1: Input the user's voice, facial expressions, text, and other data into the emotion engine. Step 2: The emotion engine analyzes the input data and recognizes the user's emotion. Step 3: The emotion engine uses the recognized user emotion information to determine the suitability of matching between the technology user and the craftsman. Step 4: The technology user searches the database to find a craftsman with the desired technology. Step 5: The emotion engine utilizes the emotion information of the technology user to recommend artisans based on the suitability of the match. Step 6: The technology user contacts the recommended craftsmen and enters into a contract or uses the technology. Step 7: When a performance-based reward is generated, the emotion engine uses the emotion information of the technology user to make an appropriate payment of the reward. (Example 2) Step 1: Input the user's voice data into the emotion engine. Step 2: The emotion engine analyzes the input voice data and understands the changes and strength of the user's emotions. Step 3: When the technology user communicates with the artisan, the emotion engine uses the user's emotion information to provide appropriate responses and advice. Step 4: The technology user searches the database to find a craftsman with the desired technology. Step 5: The emotion engine uses the emotion information of the technology user to determine the suitability of matching with a craftsman. Step 6: The technology user selects a craftsman based on the suitability of the match, contacts him, and enters into a contract or uses the technology. Step 7: When a performance-based reward is generated, the emotion engine uses the emotion information of the technology user to make an appropriate payment of the reward. (Example 3) Step 1: Input user's text data into the emotion engine. Step 2: The emotion engine analyzes the input text data and understands emotions and intent. Step 3: When a technology user searches for technical information in the database, the emotion engine utilizes the user's emotion information to provide appropriate technical information. Step 4: The technology user searches the database to find a craftsman with the desired technology. Step 5: The emotion engine uses the emotion information of the technology user to determine the suitability of matching with a craftsman. Step 6: The technology user selects a craftsman based on the suitability of the match, contacts him, and enters into a contract or uses the technology. Step 7: When a performance-based reward is generated, the emotion engine uses the emotion information of the technology user to make an appropriate payment of the reward.

[0102] 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 a voice indicating a user input for 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.

[0103] 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> ) and other generation AIs. The data generation model 58 is obtained by making a neural network perform deep learning. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating a voice, text data indicating a text, and image data indicating an image is input. The data generation model 58 performs inference on the input inference data according to 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 while using the data generation model 58.

[0104] In the above embodiment, an example was given in which the specific process was performed by the data processing device 12, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the robot 414.

[0105] The emotion identification model 59 as an emotion engine may determine the emotion of the user according to a specific mapping. Specifically, the emotion identification model 59 may determine the emotion of the user according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the emotion of the robot, and the identification processing unit 290 may perform identification processing using the emotion of the robot.

[0106] FIG. 9 is a diagram showing 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. The closer to the center of the concentric circles, the more primitive emotions are arranged. The more outside the concentric circles, the more emotions that represent states and actions that arise from a state of mind are arranged. Emotions are a concept that includes emotions and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions that occur in the brain are arranged. On the right side of the concentric circles, emotions that are generally induced by situational judgment are arranged. On the upper and lower sides of the concentric circles, emotions that are generally generated from reactions that occur in the brain and are induced by situational judgment are arranged. In addition, on the upper side of the concentric circles, emotions of "pleasure" are arranged, and on the lower side, emotions of "discomfort" are arranged. In this way, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[0107] These emotions are distributed in the 3 o'clock direction of emotion map 400 and usually 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.

[0108] The inside of emotion map 400 represents what is going on inside one's mind, and the outside of emotion map 400 represents behavior, so the further out you go on emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[0109] Here, human emotions are based on various balances such as posture and blood sugar level, and when these balances are far from the ideal, it indicates an unpleasant state, and when they are close to the ideal, it indicates a pleasant state. Emotions can also be created for robots, cars, motorcycles, etc., based on various balances such as posture and battery level, so that when these balances are far from the ideal, it indicates an unpleasant state, and when they are close to the ideal, it indicates a pleasant state. The emotion map may be generated, for example, based on the emotion map of Dr. Mitsuyoshi (Research on speech emotion recognition and emotion brain physiological signal analysis system, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). On the left half of the emotion map, emotions belonging to an area called "reaction" where sensation is dominant are lined up. On the right half of the emotion map, emotions belonging to an area called "situation" where situation recognition is dominant are lined up.

[0110] The emotion map defines two emotions that promote learning. The first is the negative emotion around the middle of "repentance" or "remorse" on the situation side. In other words, this is 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 the positive emotion around "desire" on the response side. In other words, this is when the robot has positive feelings such as "I want more" or "I want to know more."

[0111] The emotion identification model 59 inputs the user input to a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the emotion of the user. This neural network is pre-trained based on multiple learning data that are combinations of the 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, "relief," "calm," and "encouraging," have similar emotion values.

[0112] 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.

[0113] 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 Universal Serial Bus (USB) 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.

[0114] In addition, 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 upon request from the data processing device 12.

[0115] 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.

[0116] As the hardware resource for executing the specific process, various processors as shown below can be used. An example of the processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing the specific process by executing software, i.e., a program. Another example of the processor is a dedicated electric circuit, which is a processor having a circuit configuration designed exclusively for executing the specific process, such as a Field-Programmable Gate Array (FPGA), a Programmable Logic Device (PLD), or an Application Specific Integrated Circuit (ASIC). Each processor has a built-in or connected memory, and each processor executes the specific process by using the memory.

[0117] The hardware resource that executes the specific process may be one of these various processors, or may be 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.

[0118] As an example of a configuration using one 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 configuration using a processor that realizes the functions of the 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.

[0119] Furthermore, more specifically, the hardware structure of these various processors can be an electric circuit that combines circuit elements such as semiconductor elements. The specific processes described above are merely examples. It goes without saying that unnecessary steps may be deleted, new steps may be added, or the order of processes may be changed without departing from the spirit of the invention.

[0120] The above description and illustrations are detailed descriptions 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, function, action, and effect is an example of the configuration, function, action, and effect 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 description and illustrations, within the scope of the gist of the technology of the present disclosure. In addition, in order to avoid confusion and to facilitate understanding of the parts related to the technology of the present disclosure, the above description and illustrations omit explanations of technical common sense that do not require explanation in order to enable the implementation of the technology of the present disclosure.

[0121] All publications, patent applications, and standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or standard was specifically and individually indicated to be incorporated by reference.

[0122] The following is further disclosed regarding the above embodiment.

[0123] (Appendix 1) The system includes a means to use AI to analyze, preserve, and database traditional craft and technical skills, a means to preserve the skills permanently even after retirement, and a means to match those who wish to use the rights with those who wish to receive compensation. (Appendix 2) In the system described in Appendix 1, the means for analyzing traditional crafts and technical skills using AI is characterized by utilizing image recognition technology to digitize the skills of artisans. (Appendix 3) In the system described in Appendix 1, the means for receiving a performance-based reward is characterized in that the reward is received based on a contract with the user of the technology.

[0124] (Appendix 1) The system combines a means of using AI to analyze, store, and database traditional craft and technical skills, a means of ensuring the permanent preservation of skills, a means of matching with those who wish to acquire the rights and receiving rewards for their efforts, and an emotion engine that recognizes the user's emotions. (Appendix 2) In the system described in Supplementary Note 1, the emotion engine is characterized by having a function for analyzing data such as voice, facial expressions, and text, and recognizing the user's emotions. (Appendix 3) In the system described in Supplementary Note 1, the emotion engine is characterized by providing information for more appropriate matching of technology users and craftsmen by recognizing the user's emotions. Specifically, the emotion engine has a function of recommending appropriate craftsmen to technology users based on the user's emotions. [Explanation of symbols]

[0125] 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. The system includes a means to use AI to analyze, preserve, and database traditional craft and technical skills, a means to preserve the skills permanently even after retirement, and a means to match those who wish to use the rights with those who wish to receive compensation.

2. In the system described in claim 1, the means for analyzing traditional crafts and technical skills using AI is characterized by utilizing image recognition technology to digitize the skills of artisans.

3. In the system according to claim 1, the means for receiving a reward for achievement receives a reward based on a contract with a user of the technology.

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