System

Abstract

An object of the system according to the embodiment is to effectively integrate information display and communication functions in a palm-sized robot smartphone.SOLUTION: A system according to an embodiment includes a camera, a microphone, an infrared communication function, and a small display. The camera captures an image. The microphone records voice. The infrared communication function performs communication using infrared rays. The small display performs display of news or weather forecast and display of Internet search results.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 room for improvement in terms of effectively integrating information display and communication functions in palm-sized robotic smartphones.

[0005] The system according to the embodiment aims to effectively integrate information display and communication functions in a palm-sized robotic smartphone. [Means for solving the problem]

[0006] The system according to the embodiment includes a camera, a microphone, an infrared communication function, and a small display. The camera captures video. The microphone records audio. The infrared communication function communicates using infrared. The small display displays news or weather forecasts, and internet search results. [Effects of the Invention]

[0007] The system according to the embodiment can effectively integrate information display and communication functions in a palm-sized robotic smartphone. [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 nonvolatile storage devices that store various programs, various parameters, etc. Examples of nonvolatile 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) A robot-type smartphone system according to an embodiment of the present invention is a palm-sized robot-type smartphone that combines the cute appearance of a robot with the advanced conversational capabilities of a generation AI. This robot-type smartphone is equipped with a camera, microphone, and infrared communication functions, and has a small display built into its chest. This allows it to provide a variety of functions, such as displaying news and weather forecasts and performing Internet searches. This allows the robot-type smartphone system to provide a variety of services to users. For example, users can check the latest news and weather forecasts and perform Internet searches while enjoying conversations with the robot. Furthermore, by utilizing the camera, microphone, and infrared communication functions, users can easily take photos and share data.

[0029] A robot-type smartphone system according to an embodiment includes a camera, a microphone, infrared communication capabilities, and a small display built into the chest. The camera is used to take photos and videos. For example, a user can command "Take a photo" to activate the camera and take a photo. The camera is also used for video calls and facial recognition. The microphone is used for voice input. For example, when a user asks, "What's the weather like today?", the microphone inputs the voice and the AI ​​generates a response. The infrared communication capabilities are used to exchange data with other devices. For example, data can be shared with other smartphones or tablets using infrared communication. The small display built into the chest is used to display news, weather forecasts, and internet search results. For example, when a user commands, "Tell me the latest news," the display shows the latest news. This enables the robot-type smartphone system to display news, weather forecasts, and internet search results.

[0030] The appearance of the robot is customizable, allowing users to change the design to suit their preferences. For example, users can customize the robot's appearance through a smartphone app. For example, they can select the shape and color of the robot's eyes, clothing, etc. within the app, and these changes are reflected on the robot in real time. This allows users to change the robot's appearance to suit their preferences.

[0031] The exterior of the robot is equipped with a haptic feedback function, allowing the user to feel softness and warmth when touched. The exterior of the robot is made of soft silicone material, for example, so that it feels soft when touched. Furthermore, a temperature control function is built into the interior, allowing the user to feel warmth. This allows the user to feel softness and warmth when touched.

[0032] The robot's appearance can be automatically changed according to the season or an event. The robot's appearance can be automatically changed according to the season, for example, changing to a floral design in spring and a snowflake design in winter. This allows the robot's appearance to be automatically changed according to the season or an event.

[0033] The robot's exterior design can be dynamically changed using projection mapping technology. The robot's exterior design can be dynamically changed using projection mapping technology, for example. For example, an image can be projected onto the surface of the robot, changing the design in real time. This allows the robot's appearance to be dynamically changed using projection mapping technology.

[0034] Generative AI can learn from a user's past conversation history and generate personalized responses. For example, generative AI can learn from a user's past conversation history and generate responses based on the user's preferences and interests. For example, if a user talks about a movie they like, the AI ​​can provide information related to that movie. This allows it to learn from a user's past conversation history and generate more personalized responses.

[0035] The generation AI can analyze the tone or speed of the user's voice and adjust the tone or speed of the response. For example, the generation AI can analyze the tone of the user's voice, and if the user is excited, the AI ​​will also respond in an excited tone. For example, if the user says "Amazing!", the AI ​​will also respond "That's really amazing!" This allows the tone and speed of the response to be adjusted according to the tone and speed of the user's voice.

[0036] The generative AI can support conversations in multiple languages ​​and have the ability to translate in real time. For example, the generative AI can support multiple languages ​​and translate and respond in real time even when a user speaks in a different language. For example, if a user speaks in English, the AI ​​can translate and respond in Japanese. This allows for support of conversations in multiple languages ​​and translation in real time.

[0037] Generative AI can suggest content based on the user's hobbies or interests. For example, generative AI can analyze the user's past conversation history and search history to suggest content based on the user's hobbies and interests. For example, if the user likes movies, the AI ​​can provide the latest movie information. This allows it to suggest content based on the user's hobbies and interests.

[0038] The camera can add a facial recognition function and automatically recognize the user's face and adjust the focus. For example, the camera can add a facial recognition function and automatically recognize the user's face and adjust the focus when the user speaks into the camera. For example, when the user takes a photo, the face can always be clearly visible. This allows the camera to automatically recognize the user's face and adjust the focus.

[0039] The microphone can be equipped with a noise canceling function to realize clear voice input. For example, the microphone can be equipped with a noise canceling function to remove ambient noise and realize clear voice input. For example, even if a user speaks in a noisy place, the voice can be clearly recognized. This allows for clear voice input.

[0040] The camera can be equipped with an AR function to display virtual objects overlaid on real scenery. For example, the camera can be equipped with an AR function to display virtual objects overlaid on real scenery. For example, when a user looks through the camera, a virtual character appears in the real scenery. This allows virtual objects to be overlaid on the real scenery.

[0041] The microphone can add voice command functionality, allowing users to control the robot by voice. For example, by saying "take a picture," the camera will automatically take a picture. This allows users to control the robot by voice.

[0042] Infrared communication can have an automatic pairing function with other devices. Infrared communication can have an automatic pairing function with other devices. For example, infrared communication can be used to automatically pair with a smartphone and share data. This makes automatic pairing with other devices possible.

[0043] Infrared communication allows the development of protocols to improve the speed of file transfer between devices.Infrared communication allows the development of new protocols to improve the speed of file transfer between devices.For example, data compression techniques can be used to improve transfer speeds.This allows the development of protocols to improve the speed of file transfer between devices.

[0044] Infrared communication can strengthen cooperation with smart home devices and enable the operation of home appliances. Infrared communication can strengthen cooperation with smart home devices and enable the operation of home appliances. For example, infrared communication can be used to control televisions and air conditioners. This strengthens cooperation with smart home devices and enables the operation of home appliances.

[0045] Infrared communication can support close-range inter-device gameplay. For example, infrared communication can be used to connect multiple devices and enjoy competitive gaming. This can support close-range inter-device gameplay.

[0046] The small display built into the chest has a touchscreen function and can be directly operated by the user. The small display built into the chest has a touchscreen function and can be directly operated by the user. For example, the user can touch the display to open an app or change settings. This provides a touchscreen function that can be directly operated by the user.

[0047] The small display built into the chest employs a high-resolution OLED panel, improving visibility.The small display built into the chest employs a high-resolution OLED panel, improving visibility.For example, text and images are displayed clearly, making it easier for users to read information.This employs a high-resolution OLED panel, improving visibility.

[0048] The small display built into the chest uses electronic paper technology to reduce battery consumption.The small display built into the chest uses electronic paper technology to reduce battery consumption.For example, power consumption is significantly reduced when displaying still images or text.This reduces battery consumption by adopting electronic paper technology.

[0049] The small display built into the chest has a 3D display function and can display three-dimensional content. The small display built into the chest, for example, has a 3D display function and displays three-dimensional content. For example, the user can rotate and zoom in and out on the 3D model. This provides a 3D display function for displaying three-dimensional content.

[0050] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0051] The robotic smartphone system can also be equipped with a health management unit that monitors the user's health condition. For example, it can incorporate sensors that measure heart rate and body temperature to monitor the user's health condition in real time. This allows the system to notify the user if an abnormality is detected and suggest necessary measures. The health management unit can also record the user's exercise and sleep patterns and provide advice on maintaining health. Furthermore, the health management unit can record the user's diet and support improving nutritional balance.

[0052] The robot-type smartphone system can also be equipped with an educational support unit that supports the user's learning. For example, it can provide a customized learning plan based on the topic the user wants to learn. It can also monitor the user's progress and provide appropriate feedback. Furthermore, the educational support unit can suggest learning materials and methods that suit the user's learning style. This maximizes the user's learning effect and supports efficient learning.

[0053] The robot-type smartphone system can further include an event suggestion unit that provides event information based on the user's hobbies and interests. For example, if the user is a music lover, the system can provide information about nearby concerts and live performances. If the user is interested in sports, the system can also provide information about sporting events. Furthermore, the event suggestion unit can suggest events to participate in based on the user's schedule. This allows the system to provide event information based on the user's hobbies and interests, helping to support a fulfilling life.

[0054] The robot-type smartphone system can further include a lifestyle improvement unit that provides advice to improve the user's lifestyle. For example, it can analyze the user's diet and exercise records and suggest balanced meals and appropriate exercise. It can also monitor the user's sleep patterns and provide advice to promote good quality sleep. Furthermore, the lifestyle improvement unit can evaluate the user's stress level and suggest ways to reduce stress. This can improve the user's lifestyle and support a healthier life.

[0055] The robot-type smartphone system can also be equipped with a security management unit that strengthens security functions to ensure user safety. For example, it can prevent unauthorized access using facial recognition or fingerprint authentication. It can also track the user's location in real time and notify designated contacts in the event of an emergency. The security management unit can also encrypt user data to protect privacy. This ensures user safety and provides a secure environment for use.

[0056] The processing flow of the first embodiment will be briefly explained below.

[0057] Step 1: The camera is used to take photos and videos. For example, the user can say "take a photo" to activate the camera and take a photo. The camera is also used for video calls and facial recognition functions. Step 2: The microphone is used for voice input. For example, when a user asks, "What's the weather like today?", the microphone inputs the voice and the generative AI generates a response. Step 3: The infrared communication function is used to exchange data with other devices. For example, you can use infrared communication to share data with other smartphones or tablets. Step 4: The small display built into the chest is used to display news, weather forecasts, and internet search results. For example, if the user says "Tell me the latest news," the display will show the latest news.

[0058] (Example 2) A robot-type smartphone system according to an embodiment of the present invention is a palm-sized robot-type smartphone that combines the cute appearance of a robot with the advanced conversational capabilities of a generation AI. This robot-type smartphone is equipped with a camera, microphone, and infrared communication functions, and has a small display built into its chest. This allows it to provide a variety of functions, such as displaying news and weather forecasts and performing Internet searches. This allows the robot-type smartphone system to provide a variety of services to users. For example, users can check the latest news and weather forecasts and perform Internet searches while enjoying conversations with the robot. Furthermore, by utilizing the camera, microphone, and infrared communication functions, users can easily take photos and share data.

[0059] A robot-type smartphone system according to an embodiment includes a camera, a microphone, infrared communication capabilities, and a small display built into the chest. The camera is used to take photos and videos. For example, a user can command "Take a photo" to activate the camera and take a photo. The camera is also used for video calls and facial recognition. The microphone is used for voice input. For example, when a user asks, "What's the weather like today?", the microphone inputs the voice and the AI ​​generates a response. The infrared communication capabilities are used to exchange data with other devices. For example, data can be shared with other smartphones or tablets using infrared communication. The small display built into the chest is used to display news, weather forecasts, and internet search results. For example, when a user commands, "Tell me the latest news," the display shows the latest news. This enables the robot-type smartphone system to display news, weather forecasts, and internet search results.

[0060] The appearance of the robot is customizable, allowing users to change the design to suit their preferences. For example, users can customize the robot's appearance through a smartphone app. For example, they can select the shape and color of the robot's eyes, clothing, etc. within the app, and these changes are reflected on the robot in real time. This allows users to change the robot's appearance to suit their preferences.

[0061] The exterior of the robot is equipped with a haptic feedback function, allowing the user to feel softness and warmth when touched. The exterior of the robot is made of soft silicone material, for example, so that it feels soft when touched. Furthermore, a temperature control function is built into the interior, allowing the user to feel warmth. This allows the user to feel softness and warmth when touched.

[0062] The robot's appearance can change its facial expressions and movements according to the user's emotions using an emotion estimation function. The robot's appearance can be estimated by analyzing the user's facial expressions and tone of voice using a built-in camera and microphone, for example. For example, if the user is smiling, the robot will also make a smiling expression. This allows the robot's facial expressions and movements to change according to the user's emotions.

[0063] The robot's appearance can be automatically changed according to the season or an event. The robot's appearance can be automatically changed according to the season, for example, changing to a floral design in spring and a snowflake design in winter. This allows the robot's appearance to be automatically changed according to the season or an event.

[0064] The robot's exterior design can be dynamically changed using projection mapping technology. The robot's exterior design can be dynamically changed using projection mapping technology, for example. For example, an image can be projected onto the surface of the robot, changing the design in real time. This allows the robot's appearance to be dynamically changed using projection mapping technology.

[0065] The robot's appearance can be adjusted using an emotion estimation function to display custom messages and animations according to the user's emotions. For example, if the user is happy, the robot can display a congratulatory message or animation using the emotion estimation function. For example, the robot can display a fireworks animation along with the message "Congratulations!" This allows custom messages and animations to be displayed according to the user's emotions.

[0066] Generative AI can learn from a user's past conversation history and generate personalized responses. For example, generative AI can learn from a user's past conversation history and generate responses based on the user's preferences and interests. For example, if a user talks about a movie they like, the AI ​​can provide information related to that movie. This allows it to learn from a user's past conversation history and generate more personalized responses.

[0067] The generation AI incorporates an emotion estimation function and can generate an appropriate response according to the user's emotions. For example, if the generation AI incorporates an emotion estimation function and the user is angry, it will generate a calm and collected response, such as "What's wrong? Did something happen?" This makes it possible to generate an appropriate response according to the user's emotions.

[0068] The generation AI can analyze the tone or speed of the user's voice and adjust the tone or speed of the response. For example, the generation AI can analyze the tone of the user's voice, and if the user is excited, the AI ​​will also respond in an excited tone. For example, if the user says "Amazing!", the AI ​​will also respond "That's really amazing!" This allows the tone and speed of the response to be adjusted according to the tone and speed of the user's voice.

[0069] The generative AI can support conversations in multiple languages ​​and have the ability to translate in real time. For example, the generative AI can support multiple languages ​​and translate and respond in real time even when a user speaks in a different language. For example, if a user speaks in English, the AI ​​can translate and respond in Japanese. This allows for support of conversations in multiple languages ​​and translation in real time.

[0070] Generative AI can suggest content based on the user's hobbies or interests. For example, generative AI can analyze the user's past conversation history and search history to suggest content based on the user's hobbies and interests. For example, if the user likes movies, the AI ​​can provide the latest movie information. This allows it to suggest content based on the user's hobbies and interests.

[0071] The generation AI can use its emotion estimation function to recommend music and video content that matches the user's emotions. For example, if the user wants to relax, the generation AI can use its emotion estimation function to recommend relaxing music. For example, if the user says "I'm tired," the AI ​​will play relaxing music. This allows the AI ​​to recommend music and video content that matches the user's emotions.

[0072] The camera can add a facial recognition function and automatically recognize the user's face and adjust the focus. For example, the camera can add a facial recognition function and automatically recognize the user's face and adjust the focus when the user speaks into the camera. For example, when the user takes a photo, the face can always be clearly visible. This allows the camera to automatically recognize the user's face and adjust the focus.

[0073] The microphone can be equipped with a noise canceling function to realize clear voice input. For example, the microphone can be equipped with a noise canceling function to remove ambient noise and realize clear voice input. For example, even if a user speaks in a noisy place, the voice can be clearly recognized. This allows for clear voice input.

[0074] The camera and microphone can infer emotions from the user's facial expression or tone of voice and provide appropriate feedback. For example, the camera and microphone can analyze the user's facial expression and tone of voice to infer emotions. For example, if the user is smiling and talking, the AI ​​can respond with "You look like you're having fun!" This allows the AI ​​to infer emotions from the user's facial expression and tone of voice and provide appropriate feedback.

[0075] The camera can be equipped with an AR function to display virtual objects overlaid on real scenery. For example, the camera can be equipped with an AR function to display virtual objects overlaid on real scenery. For example, when a user looks through the camera, a virtual character appears in the real scenery. This allows virtual objects to be overlaid on the real scenery.

[0076] The microphone can add voice command functionality, allowing users to control the robot by voice. For example, by saying "take a picture," the camera will automatically take a picture. This allows users to control the robot by voice.

[0077] The camera can use the emotion estimation function to apply a filter or effect to the camera image according to the user's emotion. For example, the camera can use the emotion estimation function to apply a bright filter to the camera image when the user is smiling. For example, when the user takes a photo while smiling, the image becomes bright and vivid. This allows the camera to apply a filter or effect to the camera image according to the user's emotion.

[0078] Infrared communication can have an automatic pairing function with other devices. Infrared communication can have an automatic pairing function with other devices. For example, infrared communication can be used to automatically pair with a smartphone and share data. This makes automatic pairing with other devices possible.

[0079] Infrared communication allows the development of protocols to improve the speed of file transfer between devices.Infrared communication allows the development of new protocols to improve the speed of file transfer between devices.For example, data compression techniques can be used to improve transfer speeds.This allows the development of protocols to improve the speed of file transfer between devices.

[0080] Infrared communication can use an emotion estimation function to suggest data sharing based on the user's emotions. For example, if the user is happy, the emotion estimation function can suggest sharing photos or videos with friends or family. For example, if the user takes a photo with a smile, the function can suggest, "Would you like to share this photo?" This makes it possible to suggest data sharing based on the user's emotions.

[0081] Infrared communication can strengthen cooperation with smart home devices and enable the operation of home appliances. Infrared communication can strengthen cooperation with smart home devices and enable the operation of home appliances. For example, infrared communication can be used to control televisions and air conditioners. This strengthens cooperation with smart home devices and enables the operation of home appliances.

[0082] Infrared communication can support close-range inter-device gameplay. For example, infrared communication can be used to connect multiple devices and enjoy competitive gaming. This can support close-range inter-device gameplay.

[0083] Infrared communication can use an emotion estimation function to optimize data sharing between devices according to the user's emotions. For example, if the user is happy, the emotion estimation function can suggest sharing photos and videos with friends and family. For example, if the user takes a photo with a smile, the function can suggest, "Would you like to share this photo?" This allows data sharing between devices to be optimized according to the user's emotions.

[0084] The small display built into the chest has a touchscreen function and can be directly operated by the user. The small display built into the chest has a touchscreen function and can be directly operated by the user. For example, the user can touch the display to open an app or change settings. This provides a touchscreen function that can be directly operated by the user.

[0085] The small display built into the chest employs a high-resolution OLED panel, improving visibility.The small display built into the chest employs a high-resolution OLED panel, improving visibility.For example, text and images are displayed clearly, making it easier for users to read information.This employs a high-resolution OLED panel, improving visibility.

[0086] The small display built into the chest can use an emotion estimation function to provide custom display content according to the user's emotion. For example, if the user is happy, the small display built into the chest can use the emotion estimation function to display a congratulatory message or animation on the display. For example, a fireworks animation can be displayed along with the message "Congratulations!" This allows custom display content to be provided according to the user's emotion.

[0087] The small display built into the chest uses electronic paper technology to reduce battery consumption.The small display built into the chest uses electronic paper technology to reduce battery consumption.For example, power consumption is significantly reduced when displaying still images or text.This reduces battery consumption by adopting electronic paper technology.

[0088] The small display built into the chest has a 3D display function and can display three-dimensional content. The small display built into the chest, for example, has a 3D display function and displays three-dimensional content. For example, the user can rotate and zoom in and out on the 3D model. This provides a 3D display function for displaying three-dimensional content.

[0089] The small display built into the chest can use an emotion estimation function to automatically change the interface design according to the user's emotion. For example, when the user is relaxed, the small display built into the chest can use the emotion estimation function to change the interface design of the display to a calming color tone. For example, blue or green hues can be used. This allows the interface design to be automatically changed according to the user's emotion.

[0090] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0091] The robotic smartphone system can also be equipped with a health management unit that monitors the user's health condition. For example, it can incorporate sensors that measure heart rate and body temperature to monitor the user's health condition in real time. This allows the system to notify the user if an abnormality is detected and suggest necessary measures. The health management unit can also record the user's exercise and sleep patterns and provide advice on maintaining health. Furthermore, the health management unit can record the user's diet and support improving nutritional balance.

[0092] The robot-type smartphone system may further include a relaxation suggestion unit that estimates the user's emotions and suggests appropriate relaxation methods based on the estimated emotions. For example, if the user is feeling stressed, it may provide guidance on deep breathing or meditation. Also, if the user is tired, it may recommend relaxing music or videos. Furthermore, the relaxation suggestion unit may activate an aroma diffuser or massage function according to the user's emotions. This allows it to suggest relaxation methods according to the user's emotions and support stress reduction and refreshment.

[0093] The robot-type smartphone system can also be equipped with an educational support unit that supports the user's learning. For example, it can provide a customized learning plan based on the topic the user wants to learn. It can also monitor the user's progress and provide appropriate feedback. Furthermore, the educational support unit can suggest learning materials and methods that suit the user's learning style. This maximizes the user's learning effect and supports efficient learning.

[0094] The robot-type smartphone system may further include an exercise suggestion unit that estimates the user's emotions and suggests appropriate exercises based on the estimated emotions. For example, if the user wants to relax, it may provide yoga or stretching guides. Alternatively, if the user is feeling energetic, it may suggest dance or aerobic exercise programs. Furthermore, the exercise suggestion unit may adjust the intensity and type of exercise according to the user's emotions. This allows the system to suggest exercises that match the user's emotions and support health maintenance and stress relief.

[0095] The robot-type smartphone system can further include an event suggestion unit that provides event information based on the user's hobbies and interests. For example, if the user is a music lover, the system can provide information about nearby concerts and live performances. If the user is interested in sports, the system can also provide information about sporting events. Furthermore, the event suggestion unit can suggest events to participate in based on the user's schedule. This allows the system to provide event information based on the user's hobbies and interests, helping to support a fulfilling life.

[0096] The robot-type smartphone system may further include a communication suggestion unit that estimates the user's emotions and suggests an appropriate communication method based on the estimated emotions. For example, if the user feels lonely, the system may suggest a video call with friends or family. If the user feels stressed, the system may offer relaxing conversations or jokes. Furthermore, the communication suggestion unit may suggest appropriate communication tools and methods according to the user's emotions. This makes it possible to suggest communication methods according to the user's emotions and support their mental health.

[0097] The robot-type smartphone system can further include a lifestyle improvement unit that provides advice to improve the user's lifestyle. For example, it can analyze the user's diet and exercise records and suggest balanced meals and appropriate exercise. It can also monitor the user's sleep patterns and provide advice to promote good quality sleep. Furthermore, the lifestyle improvement unit can evaluate the user's stress level and suggest ways to reduce stress. This can improve the user's lifestyle and support a healthier life.

[0098] The robot-type smartphone system may further include an entertainment suggestion unit that estimates the user's emotions and provides appropriate entertainment content based on the estimated emotions. For example, if the user is feeling sad, the system may recommend comedy movies or fun music to brighten the mood. Alternatively, if the user wants to relax, the system may provide relaxing music or videos. Furthermore, the entertainment suggestion unit may adjust the type and format of entertainment content according to the user's emotions. This allows the system to provide entertainment content that matches the user's emotions and support their mental health.

[0099] The robot-type smartphone system can also be equipped with a security management unit that strengthens security functions to ensure user safety. For example, it can prevent unauthorized access using facial recognition or fingerprint authentication. It can also track the user's location in real time and notify designated contacts in the event of an emergency. The security management unit can also encrypt user data to protect privacy. This ensures user safety and provides a secure environment for use.

[0100] The robot-type smartphone system may further include a feedback providing unit that estimates the user's emotions and provides appropriate feedback based on the estimated emotions. For example, if the user succeeds, the feedback providing unit may provide an encouraging or congratulatory message. If the user fails, the feedback providing unit may provide words of comfort or encouragement. Furthermore, the feedback providing unit may provide appropriate advice or support according to the user's emotions. This allows the user to maintain their motivation by providing feedback according to their emotions.

[0101] The processing flow of the second embodiment will be briefly explained below.

[0102] Step 1: The camera is used to take photos and videos. For example, the user can say "take a photo" to activate the camera and take a photo. The camera is also used for video calls and facial recognition functions. Step 2: The microphone is used for voice input. For example, when a user asks, "What's the weather like today?", the microphone inputs the voice and the generative AI generates a response. Step 3: The infrared communication function is used to exchange data with other devices. For example, you can use infrared communication to share data with other smartphones or tablets. Step 4: The small display built into the chest is used to display news, weather forecasts, and internet search results. For example, if the user says "Tell me the latest news," the display will show the latest news.

[0103] 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.

[0104] 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.

[0105] 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.

[0106] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0107] 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.

[0108] 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.

[0109] 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.

[0110] 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.

[0111] 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).

[0112] 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.

[0113] 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.

[0114] 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.

[0115] 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.

[0116] 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.

[0117] 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.

[0118] 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.

[0119] 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.

[0120] 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.

[0121] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0122] 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.

[0123] 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.

[0124] 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.

[0125] 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.

[0126] 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).

[0127] 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.

[0128] 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.

[0129] 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.

[0130] 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.

[0131] 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.

[0132] 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.

[0133] 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.

[0134] 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.

[0135] 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.

[0136] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0137] 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0138] 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.

[0139] 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.

[0140] 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.

[0141] 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).

[0142] 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.

[0143] 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.

[0144] 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.

[0145] 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.

[0146] 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.

[0147] 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.

[0148] 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.

[0149] 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.

[0150] 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.

[0151] 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.

[0152] 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.

[0153] 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.

[0154] 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.

[0155] 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).

[0156] 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.

[0157] 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."

[0158] 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.

[0159] 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.

[0160] 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.

[0161] 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.

[0162] 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.

[0163] The hardware resource for executing a specific process can be any of the following processors: A CPU is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. A dedicated electrical circuit, such as a field-programmable gate array (FPGA), a programmable logic device (PLD), or an application-specific integrated circuit (ASIC), is a processor with a circuit configuration specifically designed to execute a specific process. Each processor has built-in or connected memory, and uses the memory to execute the specific process.

[0164] 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.

[0165] 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.

[0166] 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.

[0167] 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.

[0168] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[0169] 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]

[0170] 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 camera and With a microphone, Infrared communication function, A small display built into the chest, The small display is View news or weather reports, or view internet search results A system characterized by:

2. The appearance of the robot is Using emotion estimation function, the robot's facial expressions and movements are changed according to the user's emotions.

2. The system of claim 1.

3. The appearance of the robot is Equipped with the ability to dynamically change the design using projection mapping technology 2. The system of claim 1.

4. The generating AI is Learn from a user's past conversation history to generate personalized responses 2. The system of claim 1.

5. The camera is Add face recognition function to automatically recognize the user's face and adjust focus 2. The system of claim 1.

Images