System

Abstract

To provide a proposal tool which dissolves similarity of appearance of smart phones, evaluates smart phones for each function and allows users to understand functions of respective smart phones, thereby allowing even people who do not know a lot about smart phones to properly select a smart phone.SOLUTION: A system comprises: means for evaluating smart phones for each function, and visualizing functions of smart phones in a ranking format; means for dissolving similarity of appearance of smart phones; and means for constructing a proposal tool.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] The present invention aims to solve the problem of enabling even those who are not familiar with smartphones to make an appropriate selection by eliminating the similarity in the appearance of smartphones, evaluating smartphones by function, and providing an easy-to-understand suggestion tool. [Means for solving the problem]

[0005] A system including a means for evaluating smartphones by function and visualizing the results in a ranking format, a means for eliminating similarities in the appearance of smartphones, and a means for constructing a suggestion tool. [Brief explanation 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. [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

[0007] 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.

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

[0009] 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).

[0010] 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.

[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 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), 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. 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."

[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 WAN (Wide Area Network) and / or a LAN (Local Area Network).

[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, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. 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.

[0019] The output device 40 is equipped with a display 40A, a speaker 40B, etc., and presents data to the user by outputting the data in a form of expression that the user can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The 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.

[0020] 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.

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

[0022] 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.

[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 process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. 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.

[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. 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, or a home appliance). Next, the identification process performed by the identification processing unit 290 of the data processing device 12 will be described.

[0026] (Example 1) In an embodiment of the present invention, in order to eliminate the similarity of smartphone appearances, the design and color variations of each smartphone are devised to enhance individuality. Furthermore, in order to evaluate smartphones by function, the performance and convenience of each function are objectively evaluated and displayed in the form of a standard deviation, making comparisons easier. Furthermore, to provide a proposal tool, a simple and intuitive interface is adopted, making it easy to use even for those who are not familiar with smartphones. (Example 2) In one embodiment of the present invention, distinctive elements are incorporated into the design of each smartphone to eliminate similarities in appearance. Furthermore, to evaluate smartphones by function, the performance and convenience of each function are scored based on evaluation criteria and displayed in a ranking format, making comparisons easier. Furthermore, to provide a proposal tool, the system is equipped with a customization function tailored to the user's requests and needs, enabling personalized proposals. (Example 3) In one embodiment of the present invention, different materials and shapes are used in the design of each smartphone to eliminate the similarity in appearance among smartphones. Furthermore, to evaluate smartphones by function, the performance and convenience of each function are evaluated based on user ratings and reviews, and displayed in the form of a standard deviation, enabling objective comparison. Furthermore, to provide a suggestion tool, the system has a function to suggest recommended functions and applications tailored to the user's usage and preferences.

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

[0028] (Example 1) Step 1: To break up the similarities between the looks of each phone, the design team considers different materials and shapes, such as metal frames or curved displays, to make each phone unique. Step 2: To evaluate smartphones by feature, the development team sets criteria to objectively evaluate the performance and usability of each feature, such as camera quality or battery life, and assigns a score to each feature. Step 3: To provide the recommendation tool, the interface designer creates a simple and intuitive user interface. Visual elements such as rankings and graphs are used to make it easier for users to compare smartphones by appearance and functional evaluation. The interface also includes customization functions to meet the user's requests and needs, enabling personalized recommendations. (Example 2) Step 1: To break up the similarities between the appearances of each smartphone, the design team incorporates distinctive elements into each phone, such as different patterns on the back or different colors, to make each phone unique. Step 2: To evaluate smartphone features, the development team scores the performance and usability of each feature based on evaluation criteria. For example, they evaluate the image quality of the camera and the processing speed, and calculate a standard deviation for each feature. Step 3: To provide the recommendation tool, interface designers create a simple interface with customization features to meet user needs. Users can use rankings and filtering functions to easily compare smartphones by appearance and functionality. (Example 3) Step 1: To break up the similarities between the looks of each phone, the design team considers different materials and shapes, including distinctive elements like glass back panels and curved displays to make each phone unique. Step 2: To evaluate smartphone features, the development team evaluates the performance and usability of each feature based on user ratings and reviews. For example, they evaluate camera quality and battery life while incorporating user opinions, and calculate a standard deviation for each feature. Step 3: To provide a suggestion tool, interface designers create an interface with a function to suggest recommended features and applications based on the user's usage and preferences. Users can make individual suggestions and customizations to easily compare smartphone appearances and feature evaluations.

[0029] Furthermore, an emotion engine that estimates the user's emotion may be 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.

[0030] (Example 1) The embodiment of the present invention is to combine emotion engines to resolve the similarity of smartphone appearances, evaluate smartphones by their functions, and provide easy-to-understand suggestion tools. Specifically, in step 1, a camera and microphone equipped with an emotion engine are used to recognize the user's facial expressions and tone of voice. For example, expressions of smile or surprise, or tones of voice of joy or dissatisfaction are analyzed to understand the user's emotions. In step 2, the emotion engine suggests the smartphone's appearance and functions based on the user's emotions. For example, if the user shows a happy expression, it can suggest a colorful design or entertainment functions. In step 3, the emotion engine analyzes user feedback and reviews on the proposed appearance and features. Understanding user emotions and ratings allows the system to suggest further improvements and customizations. (Example 2) The embodiment of the present invention is to combine emotion engines to resolve the similarity of smartphone appearances, evaluate smartphones by their functions, and provide easy-to-understand suggestion tools. Specifically, in step 1, a sensor equipped with an emotion engine is used to measure the user's biometric information, such as heart rate and electrical activity of the skin, thereby grasping the user's emotional state, such as their level of excitement or relaxation. In step 2, the emotion engine suggests the smartphone's appearance and functions based on the user's emotional state. For example, if the user is excited, it can suggest designs and functions related to sports and activities. In step 3, the emotion engine analyzes user feedback and reviews on the proposed appearance and functions, making it possible to suggest improvements and customizations tailored to the user's emotional state, providing a more satisfying smartphone experience. (Example 3) The embodiment of the present invention is to combine emotion engines to resolve the similarity of smartphone appearances, evaluate smartphones by their functions, and provide easy-to-understand suggestion tools. Specifically, in step 1, a voice recognition system equipped with an emotion engine is used to recognize the tone of the user's voice and the nuances of their words. For example, it can grasp emotions such as joy, dissatisfaction, and interest. In step 2, the emotion engine makes suggestions about the smartphone's appearance and functions based on the user's emotions. For example, if the user expresses dissatisfaction, the engine can suggest designs and functions that emphasize operability and ease of use. In step 3, the emotion engine analyzes user feedback and reviews on the proposed appearance and functions. By understanding user emotions and evaluations, it is possible to propose improvements and customizations that are more suitable for each user.

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

[0032] (Example 1) Step 1: Using a camera and microphone equipped with an emotion engine, the system recognizes the user's facial expressions and tone of voice. For example, it analyzes expressions of smiles and surprise, and tones of voice such as joy and dissatisfaction to understand the user's emotions. Step 2: Based on the user's emotions, the emotion engine suggests the smartphone's appearance and functions. For example, if the user shows a happy expression, it can suggest a colorful design or entertainment features. Step 3: The emotion engine analyzes user feedback and reviews for the proposed appearance and features. Understanding user sentiment and ratings allows us to suggest further improvements and customizations. (Example 2) Step 1: Using a sensor equipped with an emotion engine, biometric information such as the user's heart rate and electrical activity of the skin is measured, thereby grasping the user's emotional state, such as their level of excitement or relaxation. Step 2: The emotion engine suggests the smartphone's appearance and functions based on the user's emotional state. For example, if the user is excited, it can suggest designs and functions related to sports and activities. Step 3: The emotion engine analyzes user feedback and reviews on the proposed appearance and features, allowing it to suggest improvements and customizations tailored to the user's emotional state, providing a more satisfying smartphone experience. (Example 3) Step 1: A speech recognition system with an emotion engine is used to recognize the user's tone of voice and nuances of words, allowing it to grasp emotions such as joy, frustration, and interest. Step 2: Based on the user's emotions ascertained by the emotion engine, suggestions are made for the smartphone's appearance and functions. For example, if the user expresses dissatisfaction, the system can suggest designs and functions that emphasize operability and ease of use. Step 3: The emotion engine analyzes user feedback and reviews for the proposed appearance and features. By understanding user emotions and ratings, it is possible to suggest improvements and customizations that are more suitable for the user.

[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 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.

[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 causing a neural network to perform deep learning. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. 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.

[0035] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, 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 WAN (Wide Area Network) and / or a LAN (Local Area Network).

[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 audio in accordance with instructions from the processor 46.

[0042] 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 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 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.

[0044] 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.

[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. 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, or a home appliance). Next, the identification process performed by the identification processing unit 290 of the data processing device 12 will be described.

[0049] (Example 1) In an embodiment of the present invention, in order to eliminate the similarity of smartphone appearances, the design and color variations of each smartphone are devised to enhance individuality. Furthermore, in order to evaluate smartphones by function, the performance and convenience of each function are objectively evaluated and displayed in the form of a standard deviation, making comparisons easier. Furthermore, to provide a proposal tool, a simple and intuitive interface is adopted, making it easy to use even for those who are not familiar with smartphones. (Example 2) In one embodiment of the present invention, distinctive elements are incorporated into the design of each smartphone to eliminate similarities in appearance. Furthermore, to evaluate smartphones by function, the performance and convenience of each function are scored based on evaluation criteria and displayed in a ranking format, making comparisons easier. Furthermore, to provide a proposal tool, the system is equipped with a customization function tailored to the user's requests and needs, enabling personalized proposals. (Example 3) In one embodiment of the present invention, different materials and shapes are used in the design of each smartphone to eliminate the similarity in appearance among smartphones. Furthermore, to evaluate smartphones by function, the performance and convenience of each function are evaluated based on user ratings and reviews, and displayed in the form of a standard deviation, enabling objective comparison. Furthermore, to provide a suggestion tool, the system has a function to suggest recommended functions and applications tailored to the user's usage and preferences.

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

[0051] (Example 1) Step 1: To break up the similarities between the looks of each phone, the design team considers different materials and shapes, such as metal frames or curved displays, to make each phone unique. Step 2: To evaluate smartphones by feature, the development team sets criteria to objectively evaluate the performance and usability of each feature, such as camera quality or battery life, and assigns a score to each feature. Step 3: To provide the recommendation tool, the interface designer creates a simple and intuitive user interface. Visual elements such as rankings and graphs are used to make it easier for users to compare smartphones by appearance and functional evaluation. The interface also includes customization functions to meet the user's requests and needs, enabling personalized recommendations. (Example 2) Step 1: To break up the similarities between the appearances of each smartphone, the design team incorporates distinctive elements into each phone, such as different patterns on the back or different colors, to make each phone unique. Step 2: To evaluate smartphone features, the development team scores the performance and usability of each feature based on evaluation criteria. For example, they evaluate the image quality of the camera and the processing speed, and calculate a standard deviation for each feature. Step 3: To provide the recommendation tool, interface designers create a simple interface with customization features to meet user needs. Users can use rankings and filtering functions to easily compare smartphones by appearance and functionality. (Example 3) Step 1: To break up the similarities between the looks of each phone, the design team considers different materials and shapes, including distinctive elements like glass back panels and curved displays to make each phone unique. Step 2: To evaluate smartphone features, the development team evaluates the performance and usability of each feature based on user ratings and reviews. For example, they evaluate camera quality and battery life while incorporating user opinions, and calculate a standard deviation for each feature. Step 3: To provide a suggestion tool, interface designers create an interface with a function to suggest recommended features and applications based on the user's usage and preferences. Users can make individual suggestions and customizations to easily compare smartphone appearances and feature evaluations.

[0052] Furthermore, 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 to combine emotion engines to resolve the similarity of smartphone appearances, evaluate smartphones by their functions, and provide easy-to-understand suggestion tools. Specifically, in step 1, a camera and microphone equipped with an emotion engine are used to recognize the user's facial expressions and tone of voice. For example, expressions of smile or surprise, or tones of voice of joy or dissatisfaction are analyzed to understand the user's emotions. In step 2, the emotion engine suggests the smartphone's appearance and functions based on the user's emotions. For example, if the user shows a happy expression, it can suggest a colorful design or entertainment functions. In step 3, the emotion engine analyzes user feedback and reviews on the proposed appearance and features. Understanding user emotions and ratings allows the system to suggest further improvements and customizations. (Example 2) The embodiment of the present invention is to combine emotion engines to resolve the similarity of smartphone appearances, evaluate smartphones by their functions, and provide easy-to-understand suggestion tools. Specifically, in step 1, a sensor equipped with an emotion engine is used to measure the user's biometric information, such as heart rate and electrical activity of the skin, thereby grasping the user's emotional state, such as their level of excitement or relaxation. In step 2, the emotion engine suggests the smartphone's appearance and functions based on the user's emotional state. For example, if the user is excited, it can suggest designs and functions related to sports and activities. In step 3, the emotion engine analyzes user feedback and reviews on the proposed appearance and functions, making it possible to suggest improvements and customizations tailored to the user's emotional state, providing a more satisfying smartphone experience. (Example 3) The embodiment of the present invention is to combine emotion engines to resolve the similarity of smartphone appearances, evaluate smartphones by their functions, and provide easy-to-understand suggestion tools. Specifically, in step 1, a voice recognition system equipped with an emotion engine is used to recognize the tone of the user's voice and the nuances of their words. For example, it can grasp emotions such as joy, dissatisfaction, and interest. In step 2, the emotion engine makes suggestions about the smartphone's appearance and functions based on the user's emotions. For example, if the user expresses dissatisfaction, the engine can suggest designs and functions that emphasize operability and ease of use. In step 3, the emotion engine analyzes user feedback and reviews on the proposed appearance and functions. By understanding user emotions and evaluations, it is possible to propose improvements and customizations that are more suitable for each user.

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

[0055] (Example 1) Step 1: Using a camera and microphone equipped with an emotion engine, the system recognizes the user's facial expressions and tone of voice. For example, it analyzes expressions of smiles and surprise, and tones of voice of joy and dissatisfaction to understand the user's emotions. Step 2: Based on the user's emotions, the emotion engine suggests the smartphone's appearance and functions. For example, if the user shows a happy expression, it can suggest a colorful design or entertainment features. Step 3: The emotion engine analyzes user feedback and reviews for the proposed appearance and features. Understanding user sentiment and ratings allows us to suggest further improvements and customizations. (Example 2) Step 1: Using a sensor equipped with an emotion engine, biometric information such as the user's heart rate and electrical activity of the skin is measured, thereby grasping the user's emotional state, such as their level of excitement or relaxation. Step 2: The emotion engine suggests the smartphone's appearance and functions based on the user's emotional state. For example, if the user is excited, it can suggest designs and functions related to sports and activities. Step 3: The emotion engine analyzes user feedback and reviews on the proposed appearance and features, allowing it to suggest improvements and customizations tailored to the user's emotional state, providing a more satisfying smartphone experience. (Example 3) Step 1: A speech recognition system with an emotion engine is used to recognize the user's tone of voice and nuances of words, allowing it to grasp emotions such as joy, frustration, and interest. Step 2: Based on the user's emotions ascertained by the emotion engine, suggestions are made for the smartphone's appearance and functions. For example, if the user expresses dissatisfaction, the system can suggest designs and functions that emphasize operability and ease of use. Step 3: The emotion engine analyzes user feedback and reviews for the proposed appearance and features. By understanding user emotions and ratings, it is possible to suggest improvements and customizations that are more suitable for the user.

[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 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.

[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 causing a neural network to perform deep learning. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. 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.

[0058] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, 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 WAN (Wide Area Network) and / or a LAN (Local Area Network).

[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 audio in accordance with instructions from the processor 46.

[0065] 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 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 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.

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

[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, a 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. 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, or a home appliance). Next, the identification process performed by the identification processing unit 290 of the data processing device 12 will be described.

[0072] (Example 1) In an embodiment of the present invention, in order to eliminate the similarity of smartphone appearances, the design and color variations of each smartphone are devised to enhance individuality. Furthermore, in order to evaluate smartphones by function, the performance and convenience of each function are objectively evaluated and displayed in the form of a standard deviation, making comparisons easier. Furthermore, to provide a proposal tool, a simple and intuitive interface is adopted, making it easy to use even for those who are not familiar with smartphones. (Example 2) In one embodiment of the present invention, distinctive elements are incorporated into the design of each smartphone to eliminate similarities in appearance. Furthermore, to evaluate smartphones by function, the performance and convenience of each function are scored based on evaluation criteria and displayed in a ranking format, making comparisons easier. Furthermore, to provide a proposal tool, the system is equipped with a customization function tailored to the user's requests and needs, enabling personalized proposals. (Example 3) In one embodiment of the present invention, different materials and shapes are used in the design of each smartphone to eliminate the similarity in appearance among smartphones. Furthermore, to evaluate smartphones by function, the performance and convenience of each function are evaluated based on user ratings and reviews, and displayed in the form of a standard deviation, enabling objective comparison. Furthermore, to provide a suggestion tool, the system has a function to suggest recommended functions and applications tailored to the user's usage and preferences.

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

[0074] (Example 1) Step 1: To break up the similarities between the looks of each phone, the design team considers different materials and shapes, such as metal frames or curved displays, to make each phone unique. Step 2: To evaluate smartphones by feature, the development team sets criteria to objectively evaluate the performance and usability of each feature, such as camera quality or battery life, and assigns a score to each feature. Step 3: To provide the recommendation tool, the interface designer creates a simple and intuitive user interface. Visual elements such as rankings and graphs are used to make it easier for users to compare smartphones by appearance and functional evaluation. The interface also includes customization functions to meet the user's requests and needs, enabling personalized recommendations. (Example 2) Step 1: To break up the similarities between the appearances of each smartphone, the design team incorporates distinctive elements into each phone, such as different patterns on the back or different colors, to make each phone unique. Step 2: To evaluate smartphone features, the development team scores the performance and usability of each feature based on evaluation criteria. For example, they evaluate the image quality of the camera and the processing speed, and calculate a standard deviation for each feature. Step 3: To provide the recommendation tool, interface designers create a simple interface with customization features to meet user needs. Users can use rankings and filtering functions to easily compare smartphones by appearance and functionality. (Example 3) Step 1: To break up the similarities between the looks of each phone, the design team considers different materials and shapes, including distinctive elements like glass back panels and curved displays to make each phone unique. Step 2: To evaluate smartphone features, the development team evaluates the performance and usability of each feature based on user ratings and reviews. For example, they evaluate camera quality and battery life while incorporating user opinions, and calculate a standard deviation for each feature. Step 3: To provide a suggestion tool, interface designers create an interface with a function to suggest recommended features and applications based on the user's usage and preferences. Users can make individual suggestions and customizations to easily compare smartphone appearances and feature evaluations.

[0075] Furthermore, 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 to combine emotion engines to resolve the similarity of smartphone appearances, evaluate smartphones by their functions, and provide easy-to-understand suggestion tools. Specifically, in step 1, a camera and microphone equipped with an emotion engine are used to recognize the user's facial expressions and tone of voice. For example, expressions of smile or surprise, or tones of voice of joy or dissatisfaction are analyzed to understand the user's emotions. In step 2, the emotion engine suggests the smartphone's appearance and functions based on the user's emotions. For example, if the user shows a happy expression, it can suggest a colorful design or entertainment functions. In step 3, the emotion engine analyzes user feedback and reviews on the proposed appearance and features. Understanding user emotions and ratings allows the system to suggest further improvements and customizations. (Example 2) The embodiment of the present invention is to combine emotion engines to resolve the similarity of smartphone appearances, evaluate smartphones by their functions, and provide easy-to-understand suggestion tools. Specifically, in step 1, a sensor equipped with an emotion engine is used to measure the user's biometric information, such as heart rate and electrical activity of the skin, thereby grasping the user's emotional state, such as their level of excitement or relaxation. In step 2, the emotion engine suggests the smartphone's appearance and functions based on the user's emotional state. For example, if the user is excited, it can suggest designs and functions related to sports and activities. In step 3, the emotion engine analyzes user feedback and reviews on the proposed appearance and functions, making it possible to suggest improvements and customizations tailored to the user's emotional state, providing a more satisfying smartphone experience. (Example 3) The embodiment of the present invention is to combine emotion engines to resolve the similarity of smartphone appearances, evaluate smartphones by their functions, and provide easy-to-understand suggestion tools. Specifically, in step 1, a voice recognition system equipped with an emotion engine is used to recognize the tone of the user's voice and the nuances of their words. For example, it can grasp emotions such as joy, dissatisfaction, and interest. In step 2, the emotion engine makes suggestions about the smartphone's appearance and functions based on the user's emotions. For example, if the user expresses dissatisfaction, the engine can suggest designs and functions that emphasize operability and ease of use. In step 3, the emotion engine analyzes user feedback and reviews on the proposed appearance and functions. By understanding user emotions and evaluations, it is possible to propose improvements and customizations that are more suitable for each user.

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

[0078] (Example 1) Step 1: Using a camera and microphone equipped with an emotion engine, the system recognizes the user's facial expressions and tone of voice. For example, it analyzes expressions of smiles and surprise, and tones of voice of joy and dissatisfaction to understand the user's emotions. Step 2: Based on the user's emotions, the emotion engine suggests the smartphone's appearance and functions. For example, if the user shows a happy expression, it can suggest a colorful design or entertainment features. Step 3: The emotion engine analyzes user feedback and reviews for the proposed appearance and features. Understanding user sentiment and ratings allows us to suggest further improvements and customizations. (Example 2) Step 1: Using a sensor equipped with an emotion engine, biometric information such as the user's heart rate and electrical activity of the skin is measured, thereby grasping the user's emotional state, such as their level of excitement or relaxation. Step 2: The emotion engine suggests the smartphone's appearance and functions based on the user's emotional state. For example, if the user is excited, it can suggest designs and functions related to sports and activities. Step 3: The emotion engine analyzes user feedback and reviews on the proposed appearance and features, allowing it to suggest improvements and customizations tailored to the user's emotional state, providing a more satisfying smartphone experience. (Example 3) Step 1: A speech recognition system with an emotion engine is used to recognize the user's tone of voice and nuances of words, allowing it to grasp emotions such as joy, frustration, and interest. Step 2: Based on the user's emotions ascertained by the emotion engine, suggestions are made for the smartphone's appearance and functions. For example, if the user expresses dissatisfaction, the system can suggest designs and functions that emphasize operability and ease of use. Step 3: The emotion engine analyzes user feedback and reviews for the proposed appearance and features. By understanding user emotions and ratings, it is possible to suggest improvements and customizations that are more suitable for the user.

[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 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.

[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 causing a neural network to perform deep learning. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. 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.

[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 WAN (Wide Area Network) and / or a LAN (Local Area Network).

[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. 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 audio in accordance with instructions from the processor 46.

[0087] 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 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 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.

[0089] The control object 443 includes a display device, LEDs in the eyes, and motors for driving 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.

[0090] 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.

[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 processor 46 performs the reception output process. 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. 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, or a home appliance). Next, the identification process performed by the identification processing unit 290 of the data processing device 12 will be described.

[0095] (Example 1) In an embodiment of the present invention, in order to eliminate the similarity of smartphone appearances, the design and color variations of each smartphone are devised to enhance individuality. Furthermore, in order to evaluate smartphones by function, the performance and convenience of each function are objectively evaluated and displayed in the form of a standard deviation, making comparisons easier. Furthermore, to provide a proposal tool, a simple and intuitive interface is adopted, making it easy to use even for those who are not familiar with smartphones. (Example 2) In one embodiment of the present invention, distinctive elements are incorporated into the design of each smartphone to eliminate similarities in appearance. Furthermore, to evaluate smartphones by function, the performance and convenience of each function are scored based on evaluation criteria and displayed in a ranking format, making comparisons easier. Furthermore, to provide a proposal tool, the system is equipped with a customization function tailored to the user's requests and needs, enabling personalized proposals. (Example 3) In one embodiment of the present invention, different materials and shapes are used in the design of each smartphone to eliminate the similarity in appearance among smartphones. Furthermore, to evaluate smartphones by function, the performance and convenience of each function are evaluated based on user ratings and reviews, and displayed in the form of a standard deviation, enabling objective comparison. Furthermore, to provide a suggestion tool, the system has a function to suggest recommended functions and applications tailored to the user's usage and preferences.

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

[0097] (Example 1) Step 1: To break up the similarities between the looks of each phone, the design team considers different materials and shapes, such as metal frames or curved displays, to make each phone unique. Step 2: To evaluate smartphones by feature, the development team sets criteria to objectively evaluate the performance and usability of each feature, such as camera quality or battery life, and assigns a score to each feature. Step 3: To provide the recommendation tool, the interface designer creates a simple and intuitive user interface. Visual elements such as rankings and graphs are used to make it easier for users to compare smartphones by appearance and functional evaluation. The interface also includes customization functions to meet the user's requests and needs, enabling personalized recommendations. (Example 2) Step 1: To break up the similarities between the appearances of each smartphone, the design team incorporates distinctive elements into each phone, such as different patterns on the back or different colors, to make each phone unique. Step 2: To evaluate smartphone features, the development team scores the performance and usability of each feature based on evaluation criteria. For example, they evaluate the image quality of the camera and the processing speed, and calculate a standard deviation for each feature. Step 3: To provide the recommendation tool, interface designers create a simple interface with customization features to meet user needs. Users can use rankings and filtering functions to easily compare smartphones by appearance and functionality. (Example 3) Step 1: To break up the similarities between the looks of each phone, the design team considers different materials and shapes, including distinctive elements like glass back panels and curved displays to make each phone unique. Step 2: To evaluate smartphone features, the development team evaluates the performance and usability of each feature based on user ratings and reviews. For example, they evaluate camera quality and battery life while incorporating user opinions, and calculate a standard deviation for each feature. Step 3: To provide a suggestion tool, interface designers create an interface with a function to suggest recommended features and applications based on the user's usage and preferences. Users can make individual suggestions and customizations to easily compare smartphone appearances and feature evaluations.

[0098] Furthermore, 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 to combine emotion engines to resolve the similarity of smartphone appearances, evaluate smartphones by their functions, and provide easy-to-understand suggestion tools. Specifically, in step 1, a camera and microphone equipped with an emotion engine are used to recognize the user's facial expressions and tone of voice. For example, expressions of smile or surprise, or tones of voice of joy or dissatisfaction are analyzed to understand the user's emotions. In step 2, the emotion engine suggests the smartphone's appearance and functions based on the user's emotions. For example, if the user shows a happy expression, it can suggest a colorful design or entertainment functions. In step 3, the emotion engine analyzes user feedback and reviews on the proposed appearance and features. Understanding user emotions and ratings allows the system to suggest further improvements and customizations. (Example 2) The embodiment of the present invention is to combine emotion engines to resolve the similarity of smartphone appearances, evaluate smartphones by their functions, and provide easy-to-understand suggestion tools. Specifically, in step 1, a sensor equipped with an emotion engine is used to measure the user's biometric information, such as heart rate and electrical activity of the skin, thereby grasping the user's emotional state, such as their level of excitement or relaxation. In step 2, the emotion engine suggests the smartphone's appearance and functions based on the user's emotional state. For example, if the user is excited, it can suggest designs and functions related to sports and activities. In step 3, the emotion engine analyzes user feedback and reviews on the proposed appearance and functions, making it possible to suggest improvements and customizations tailored to the user's emotional state, providing a more satisfying smartphone experience. (Example 3) The embodiment of the present invention is to combine emotion engines to resolve the similarity of smartphone appearances, evaluate smartphones by their functions, and provide easy-to-understand suggestion tools. Specifically, in step 1, a voice recognition system equipped with an emotion engine is used to recognize the tone of the user's voice and the nuances of their words. For example, it can grasp emotions such as joy, dissatisfaction, and interest. In step 2, the emotion engine makes suggestions about the smartphone's appearance and functions based on the user's emotions. For example, if the user expresses dissatisfaction, the engine can suggest designs and functions that emphasize operability and ease of use. In step 3, the emotion engine analyzes user feedback and reviews on the proposed appearance and functions. By understanding user emotions and evaluations, it is possible to propose improvements and customizations that are more suitable for each user.

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

[0101] (Example 1) Step 1: Using a camera and microphone equipped with an emotion engine, the system recognizes the user's facial expressions and tone of voice. For example, it analyzes expressions of smiles and surprise, and tones of voice of joy and dissatisfaction to understand the user's emotions. Step 2: Based on the user's emotions, the emotion engine suggests the smartphone's appearance and functions. For example, if the user shows a happy expression, it can suggest a colorful design or entertainment features. Step 3: The emotion engine analyzes user feedback and reviews for the proposed appearance and features. Understanding user sentiment and ratings allows us to suggest further improvements and customizations. (Example 2) Step 1: Using a sensor equipped with an emotion engine, biometric information such as the user's heart rate and electrical activity of the skin is measured, thereby grasping the user's emotional state, such as their level of excitement or relaxation. Step 2: The emotion engine suggests the smartphone's appearance and functions based on the user's emotional state. For example, if the user is excited, it can suggest designs and functions related to sports and activities. Step 3: The emotion engine analyzes user feedback and reviews on the proposed appearance and features, allowing it to suggest improvements and customizations tailored to the user's emotional state, providing a more satisfying smartphone experience. (Example 3) Step 1: A speech recognition system with an emotion engine is used to recognize the user's tone of voice and nuances of words, allowing it to grasp emotions such as joy, frustration, and interest. Step 2: Based on the user's emotions ascertained by the emotion engine, suggestions are made for the smartphone's appearance and functions. For example, if the user expresses dissatisfaction, the system can suggest designs and functions that emphasize operability and ease of use. Step 3: The emotion engine analyzes user feedback and reviews for the proposed appearance and features. By understanding user emotions and ratings, it is possible to suggest improvements and customizations that are more suitable for the user.

[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 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.

[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 causing a neural network to perform deep learning. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. 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.

[0104] 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 robot 414.

[0105] 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.

[0106] FIG. 9 is a diagram illustrating 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 actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect 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.

[0107] 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.

[0108] 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).

[0109] 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 indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, 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 indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[0110] 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."

[0111] 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.

[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 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.

[0114] 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.

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

[0117] The hardware resource that executes the specific processing 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 processing may be a single processor.

[0118] 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.

[0119] 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.

[0120] 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.

[0121] 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.

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

[0123] (Appendix 1) A system including a means for evaluating smartphones by function and visualizing the results in a ranking format, a means for eliminating similarities in the appearance of smartphones, and a means for constructing a suggestion tool. (Appendix 2) In the system described in Appendix 1, the evaluation of smartphone functions is performed in the form of a standard deviation. (Appendix 3) In the system described in Appendix 1, the proposed tool is characterized by being designed to be easy to understand even for people who are not familiar with smartphones.

[0124] (Appendix 1) This system eliminates the similarity in smartphone appearance, evaluates smartphones by function, and provides easy-to-understand suggestion tools, and is characterized by combining it with 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 being able to analyze the user's facial expressions, tone of voice, etc., and estimate the user's preferences and interests. (Appendix 3) In the system described in Appendix 1, the emotion engine is characterized by being able to analyze user feedback and reviews to understand emotions and evaluations regarding the appearance and functions of smartphones. [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. A system including a means for evaluating smartphones by function and visualizing the evaluation in a ranking format, a means for eliminating similarities in the appearance of the smartphones, and a means for constructing a proposal tool.

2. In the system according to claim 1, the evaluation of the smartphone by function is performed in the form of a standard deviation.

3. In the system described in claim 1, the proposed tool is designed to be easy to understand even for those who are not familiar with smartphones.

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