system

Abstract

We provide the system. [Solution] Means for receiving requests from information processing equipment, Means for generating an operating procedure based on the above requirements, Means for transmitting and displaying the aforementioned operating procedure to an information input / output device, A means for receiving and recording the operation results from an information input / output device, A system that includes this.

Description

Technical Field

[0001] The technology of the present disclosure relates to a system.

Background Art

[0002] Patent Document 1 discloses a persona chatbot control method performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance as a response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the rapid progress of information technology, there is a problem that it is difficult for middle-aged people who have a sense of discomfort in operating information input / output devices to utilize new technologies. In particular, they often feel confused in changing complex settings and operating specific applications, and as a result, they may not be able to enjoy the benefits of information technology. Furthermore, due to pride getting in the way and being unable to ask others about the operation method, there is a problem that they cannot use information input / output devices independently.

Means for Solving the Problems

[0005] The present invention includes means for receiving requests from an information processing device and generating operating procedures based on those requests. Furthermore, it provides a visual guide to the user by transmitting these operating procedures to an information input / output device for display. By including voice conversion means for converting voice data into text data and operation control means for automatically changing settings, it smoothly assists the operation of the information input / output device based on user instructions. This system enables middle-aged users to efficiently utilize information input / output devices, overcoming technical barriers.

[0006] An "information processing device" is a device that has the functions of inputting, processing, and outputting data, and is particularly equipped with processing capabilities tailored to a specific purpose.

[0007] A "request" refers to an instruction or question directed at an information processing device, asking for a specific operation or information.

[0008] An "operating procedure" is a set of instructions for a series of operations or steps that should be performed on an information input / output device in order to achieve a specific purpose.

[0009] An "information input / output device" is a device that enables the exchange of data, and includes both an input device and an output device.

[0010] "Audio data" refers to data that represents information related to sound in a digital format.

[0011] "Text data" refers to digital data that represents information using characters and symbols.

[0012] "Voice conversion means" refers to technologies and devices for analyzing voice data and converting it into text data.

[0013] "Operation control means" refers to a function that automatically sets up and operates information input / output devices based on the generated operation procedure. [Brief explanation of the drawing]

[0014] [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] ] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which multiple emotions are mapped. [Figure 10] It shows an emotion map to which multiple emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when an emotion engine is combined.

Embodiments for Carrying Out the Invention

[0015] Hereinafter, an example of an embodiment of the system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0016] First, the terms used in the following description will be explained.

[0017] In the following embodiments, a labeled processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units 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), and the like.

[0018] In the following embodiments, a labeled RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0019] In the following embodiments, a labeled storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0020] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0021] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0022] [First Embodiment]

[0023] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0024] As shown in Figure 1, the 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.

[0025] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0026] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0027] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0028] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0029] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0030] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0031] As shown in Figure 2, in the data processing device 12, a specific processing 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" related to the technology of this 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 according to the specific processing program 56 executed on the RAM 30.

[0032] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0033] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0034] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0035] This invention is a system for generating operating procedures based on requests from an information processing device, and transmitting and displaying them to an information input / output device to guide the user. Specifically, the information input / output device receives voice instructions from the user and transmits them as text data to a server. The server uses a generation AI model based on this text data to generate appropriate operating procedures. The generated operating procedures are then transmitted to the terminal, providing a visual guide on the screen. This allows the user to operate the information input / output device according to the presented procedures.

[0036] For example, if a user requests a voice command to their smartphone to "set an alarm," the device converts this voice command into text data and sends it to the server. The server analyzes this request and generates the necessary steps to set the alarm. These steps specifically include launching the alarm application and specifying the alarm time. The device assists the user by displaying these steps as a visual guide on the user's screen and, in some cases, automatically performing the settings.

[0037] This system aims to provide convenience to middle-aged users, who often find it difficult to keep up with technological advancements. This will enable them to make the most of the functions of information input / output devices and utilize them in their daily lives and work.

[0038] The following describes the processing flow.

[0039] Step 1:

[0040] User: Speaks a voice command into the smartphone's microphone. This voice command might be something like, "Add an event to the calendar."

[0041] Step 2:

[0042] Terminal: Uses a speech recognition system to convert user voice commands into text data. Prepares the converted text data to be sent to the server.

[0043] Step 3:

[0044] Server: Analyzes text data received from the terminal. Uses a generative AI model to generate appropriate procedures in response to the requested operation. These procedures include instructions for operating a specific application.

[0045] Step 4:

[0046] Server: Sends the generated operating instructions to the terminal. The operating instructions include specific instructions such as the steps required for the actual operation and any necessary configuration changes.

[0047] Step 5:

[0048] Terminal: Displays the operation instructions received from the server on the user's screen. Visual guides (e.g., highlights or finger icons) indicate where the user should take action.

[0049] Step 6:

[0050] User: Follow the instructions displayed on the device and perform the necessary actions. If automated operation is enabled, the device will automatically change the settings.

[0051] Step 7:

[0052] Terminal: Notifies the server that the user has completed an operation. Record the result and prepare the next instructions as needed.

[0053] (Example 1)

[0054] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0055] One challenge in operating information processing devices is that users often find it difficult to perform technically advanced operations intuitively and efficiently. Furthermore, there is a need for methods to automate operating procedures based on voice commands, thereby reducing the burden on users.

[0056] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0057] In this invention, the server includes means for receiving sound information, means for converting sound information into text information, and means for interpreting the text information and constructing operation procedures using generative artificial intelligence. This enables a system in which users can automate complex operations through voice commands and operate intuitively.

[0058] A "device for receiving sound information" is a device that has a means of capturing sound and is capable of receiving voice input from a user.

[0059] "Means of converting to textual information" refers to a function that analyzes received audio and performs the process of converting it into a corresponding textual representation.

[0060] "Generative artificial intelligence" refers to a computer program or system that has the ability to generate information autonomously or based on instructions, using a large amount of data.

[0061] "Operating instructions" are a set of instructions that include a series of steps necessary to accomplish a specific task.

[0062] A "display device" is a hardware or software component used to provide visual information to a user.

[0063] A "control device" is a device that has the function of instructing or managing the operation of other equipment or systems.

[0064] This invention enables intuitive system operation by receiving voice commands within an information processing system, generating operating procedures based on those voice commands, and providing visual instructions to the user.

[0065] First, the user gives a voice command to the device. The device receives the audio information using its microphone and converts the audio data into text using speech recognition software. A general speech recognition model is used in this process.

[0066] Next, the server receives the text information and uses a generative artificial intelligence model to generate appropriate operating procedures. This generative AI model is trained on past data, and for example, if a user requests by voice, "Set an alarm," it will devise procedures such as "Open the alarm app" and "Set the time" as a response.

[0067] These generated instructions are sent from the server to the terminal, which then provides an interface to visually assist the user. Specifically, it can display an operation guide on the screen and, in some cases, automatically launch necessary applications and perform initial setup.

[0068] This system is expected to simplify complex operations and improve the efficiency of device usage, especially for users who are hesitant about technology.

[0069] For example, if a user gives a voice command to the device such as "play music," the device converts this into text data and sends it to the server. The server uses a generative AI model to generate the steps for playing music and sends them back to the device. The device then displays a guide to help the user easily enjoy the music.

[0070] An example of a prompt message is, "Please provide a concrete example of automatically generating a procedure based on the user's voice instructions." In this way, the entire system can respond smoothly to the user's voice instructions.

[0071] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0072] Step 1:

[0073] The user gives voice commands to the terminal, which is a voice input device. For example, the user might say, "Set an alarm." The terminal receives this voice data and inputs it as sound information through its internal microphone.

[0074] Step 2:

[0075] The device converts received audio information into text information using speech recognition software. Specifically, it utilizes speech recognition services such as Google® Speech-to-Text to analyze the audio data and generate the text "Set an alarm." This text data becomes the input for the next process.

[0076] Step 3:

[0077] The terminal sends the converted text data to the server. The server receives this text data and prepares to parse the user's request. At this point, the server receives the text data as input.

[0078] Step 4:

[0079] The server analyzes the received text data using a generative AI model and generates appropriate operating procedures. Specifically, based on the data the AI ​​model has learned, it devises operating procedures such as "open the app to set an alarm" and "specify the time." The generated procedures become the output data.

[0080] Step 5:

[0081] The server sends the generated operating instructions to the terminal. The terminal receives this information and prepares to inform the user of the operating instructions via a visual interface. The received instructions become the terminal's input.

[0082] Step 6:

[0083] The device displays the generated operating instructions on the screen, providing a visual guide to assist the user. At this time, it highlights the alarm app icon and instructs the user to "Tap here to set an alarm." The output provides information that makes it easy for the user to intuitively understand the operation.

[0084] (Application Example 1)

[0085] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0086] In today's increasingly diverse lifestyles, consumers face a growing need to understand the usage and characteristics of products when selecting items in physical stores. Therefore, there is a need for means to support immediate and intuitive understanding of products.

[0087] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0088] In this invention, the server includes means for receiving requests from an information acquisition device, means for generating operation instructions based on the requests, and means for transmitting and displaying the operation instructions on an information display device. This enables consumers to make purchase decisions while visually understanding how to use the products in a physical store.

[0089] An "information acquisition device" is a device that receives voice and other data from a user and inputs it into the system.

[0090] "Operation instructions" are procedures or guidelines generated to guide users through specific operations based on their requests.

[0091] An "information display device" is a device that displays generated instructions and procedures so that the user can visually confirm them.

[0092] "Return information" refers to data sent back to the system based on the results of operations performed on the information display device.

[0093] An "audio signal" is a signal that has been converted from the words spoken by a user into digital data.

[0094] "Character signals" are text-based data generated from audio signals.

[0095] An "operation management means" is a mechanism for automatically adjusting the settings and operation of a device based on the generated operation instructions.

[0096] In this invention, a server, an information acquisition device (for example, a smartphone or smart glasses), and an information display device cooperate to provide operation instructions to the user.

[0097] The server first uses speech recognition software to convert the audio signal transmitted from the information acquisition device into text data. This process uses tools such as the Google Cloud Speech-to-Text API. Next, based on the text data, a generative AI model is used to generate action instructions. For example, the generation process is performed using the prompt, "Please explain the basic setup procedure and general usage of Bluetooth earphones." Using this prompt, the AI ​​model generates the optimal procedure for the user.

[0098] The generated operation instructions are sent to an information display device. This information display device visually presents the information to the user, for example, through an application developed using React Native. Based on this information, the user can understand and operate the product more intuitively.

[0099] As a concrete example, when a user tries out new Bluetooth earphones in a physical store, they can use this system to voice-input a request through smart glasses, such as "Tell me how to use this product." The server then generates a set of instructions based on this request, and a guide on how to wear and connect the earphones is displayed in the user's field of vision.

[0100] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0101] Step 1:

[0102] The device acquires voice input from the user. The user uses a smartphone or smart glasses to make a voice request, such as "Tell me how to use this product." This voice data is then input.

[0103] Step 2:

[0104] The device uses the Google Cloud Speech-to-Text API to convert the audio data into text data. The audio signal is then converted into text format and ready to be sent to the server.

[0105] Step 3:

[0106] The server receives the converted text data. The prompt uses the format, "Please explain the basic setup procedure and general usage of Bluetooth earphones." This text data is then input into the AI ​​model.

[0107] Step 4:

[0108] The server generates appropriate operational instructions using a generated AI model. Based on the input prompts, the AI ​​model generates an operation guide or procedure that matches the user's request. This generated data is then output.

[0109] Step 5:

[0110] The server sends the generated operation instructions to the terminal. The terminal then prepares to visually display this information using a React Native application.

[0111] Step 6:

[0112] The terminal displays a guide to the user via an information display device. Operating procedures and usage instructions for the product are visually presented on the user's smartphone or smart glasses. This makes it easier for the user to understand how to use the product.

[0113] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0114] This invention is a system that recognizes user voice instructions and emotions and assists in the operation of an information input / output device. The system comprises an information processing device, an emotion engine, voice conversion means, and operation control means. When a user gives a voice instruction, the terminal converts the voice into text data and then sends it to the server. The server analyzes the received text data and creates operation procedures according to the request using a generation AI model. Furthermore, the emotion engine recognizes emotions from the user's voice and provides information to adjust the operation procedures and interface.

[0115] For example, if a user happily commands "Play music," the device analyzes the voice, converts it into text data, and sends it to the server. The server processes this command and generates steps to launch the music app. At the same time, the emotion engine determines that the user is happy and suggests a list of music to play based on that emotion, or switches to a bright and colorful interface.

[0116] Thus, the present invention enables all users, including middle-aged individuals, to operate the information input / output device comfortably and intuitively by adjusting the system's operation while considering the user's emotional state. This system aims to improve operability and user experience by providing personalized services tailored to the individual user's state and circumstances.

[0117] The following describes the processing flow.

[0118] Step 1:

[0119] User: Gives voice commands to their smartphone. These commands naturally reflect both specific actions and the user's emotions. For example, "Play some fun music."

[0120] Step 2:

[0121] Terminal: Sends voice commands from the user to the speech recognition system and converts them into text data. It also sends the voice data to the emotion engine to prepare it for analyzing the user's emotions.

[0122] Step 3:

[0123] Server: Based on text data received from the terminal, it generates appropriate operating procedures using a generative AI model. Simultaneously, the emotion engine recognizes emotions such as joy and sadness from the user's voice.

[0124] Step 4:

[0125] Server: Sends the generated operating instructions, along with recommended settings and interface adjustments based on recognized emotions, to the terminal.

[0126] Step 5:

[0127] Terminal: Displays received operating instructions as a visual guide on the user's screen. Furthermore, it applies settings that suggest interface colors and music lists based on the user's emotions.

[0128] Step 6:

[0129] User: Follow the instructions displayed on the device. If automatic configuration occurs, review the results and make any necessary corrections.

[0130] Step 7:

[0131] Terminal: Records the results of the executed operations and the updated user's emotional state, and sends this data to the server for use in future operations.

[0132] (Example 2)

[0133] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0134] There is a need to translate user voice commands into more intuitive and comfortable operation of information input / output devices. Furthermore, providing personalized interfaces and operating procedures that take into account the user's emotional state is crucial. However, currently, operation solely through voice commands has limitations, and flexible responses that reflect the user's emotions are not sufficiently realized. Therefore, the challenge lies in establishing a system that generates operating procedures that appropriately reflect the user's voice commands and emotions, thereby improving convenience and user experience.

[0135] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0136] In this invention, the server includes means for receiving voice data from a user, means for converting the voice data into text data, means for analyzing the text data to generate an operation procedure, means for analyzing the user's emotional state, and means for adjusting the operation procedure or the interface of an information input / output device according to the emotional state. This makes it possible to quickly convert the user's voice instructions into text, accurately grasp their intent, and provide the optimal operation procedure. Furthermore, it enables personalized interface adjustments based on the emotional state, thereby improving the user experience.

[0137] "Audio data" refers to information recorded as a digital signal of the voice spoken by the user.

[0138] "Text data" refers to digital information obtained by analyzing audio data and converting it into a string of characters.

[0139] "Voice conversion means" refers to technologies and devices for converting voice data into text data.

[0140] An "operational procedure" is a systematically organized set of steps for performing an operation based on the user's instructions.

[0141] An "information input / output device" is a device used for exchanging data with users, and it has both input and output functions.

[0142] "Emotional state" refers to the feelings and emotional responses expressed by the user in the audio data, and includes the analysis and identification of these.

[0143] "Generative AI technology" refers to technologies that utilize artificial intelligence to generate effective results and procedures from data.

[0144] A "prompt message" refers to a phrase that indicates instructions or conditions to be input into a generative AI technology.

[0145] This invention is a system that recognizes the user's voice instructions and emotions to assist in the operation of an information input / output device. Specifically, when the user gives a voice instruction, the terminal acquires the voice and converts it into text data using a voice conversion means. Voice recognition software is used for the voice conversion. For example, a commonly used voice recognition API can be used. This text data is transmitted to a server via a network.

[0146] The server analyzes the received text data and generates a set of action instructions based on the user's commands. It is recommended to use a natural language processing library for the analysis. Furthermore, the generated action instructions are automatically created using a generative AI model. For example, prompts such as "Suggest an appropriate music list based on the user's mood" can be used.

[0147] Furthermore, the server uses emotion analysis tools to recognize the user's emotional state from the audio data. Based on the emotional state, it adjusts the operating procedures and the interfaces of the information input / output devices. If the user shows positive emotions in response to the user's actions, the system can adjust by changing the screen to a brighter color scheme or highlighting recommended playlists.

[0148] This system accurately receives and analyzes user voice commands and utilizes generative AI technology to enable convenient and personalized operation. For example, if a user asks to "play some relaxing music" in the living room, the system can select the most suitable music considering the mood and voice of the user.

[0149] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0150] Step 1:

[0151] The device receives the user's voice commands. In this step, the voice (input) spoken by the user is converted into digital voice data through the device's microphone. Specifically, the voice is converted into text data by voice recognition software (output). This allows the user's intentions to be captured as text information.

[0152] Step 2:

[0153] The terminal sends the converted text data to the server. In this step, the text data (input) is sent to the server over the network. A standard communication protocol is used to transmit the data (output). This prepares the server to analyze the user's instructions.

[0154] Step 3:

[0155] The server analyzes the received text data. Here, the server uses a natural language processing library to analyze the text data (input) and understand the user's intent (output). Specifically, it analyzes the grammatical structure and keywords to identify commands.

[0156] Step 4:

[0157] The server generates the action procedure using a generation AI model. In this step, based on the analyzed user intent, the server inputs prompt statements into the generation AI model to create the appropriate action procedure (output). For example, the instruction "Play music" would include the procedure "Open the music app and play the specified playlist."

[0158] Step 5:

[0159] The server analyzes the user's emotional state from the voice data. The voice analysis tool analyzes the voice data (input) and identifies the user's emotional state (output). For example, it can determine emotions such as "joy" or "calmness" from the tone and pace of the voice.

[0160] Step 6:

[0161] The server generates adjustment information based on the emotional state. In this step, the server generates adjustment information (output) for the operating procedure or interface based on the emotional state. For example, if the emotional state is "joyful," cheerful themes or pleasant music will be suggested.

[0162] Step 7:

[0163] The server sends the processing results to the terminal, and the terminal executes the operating procedure. Finally, the server sends the generated operating procedure and adjustment information (output) to the terminal, and the terminal controls the device accordingly. Specifically, it provides feedback to the user by playing music or changing the UI.

[0164] (Application Example 2)

[0165] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0166] A challenge exists in the user experience quality, as there is a lack of flexibility in user interaction based on voice commands and sentiment analysis. Specifically, the lack of content recommendations that take into account the user's emotional state, and the absence of automatic interface adjustments, results in insufficient individual support.

[0167] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0168] In this invention, the server includes means for receiving requests from an information processing device, means for analyzing voice instructions and adjusting operating procedures and interfaces through emotion analysis, and means for automatically changing settings based on the generated operating procedures and presenting information according to the user's emotional state. This enables the user to perform flexible operations according to their emotions and circumstances.

[0169] An "information processing device" is a device that processes various information based on received data and generates instructions for action or results.

[0170] A "request" is an instruction or request that an information processing device needs to perform a specific operation or action.

[0171] An "operating procedure" refers to a series of steps or processes performed to achieve a specific result or function.

[0172] An "information input / output device" is a device that receives and displays data and information.

[0173] "Voice commands" refer to instructions or commands that a user gives to a device using their voice.

[0174] "Emotion analysis" is the process of estimating and determining a user's emotions and mood based on their tone of voice, manner of speaking, and other factors.

[0175] An "interface" is the point of contact between a user and an information system, and refers to the screen or display method used for operation and information presentation.

[0176] "Configuring settings" refers to a method of adjusting the operation or results of a system or application by changing its operating conditions.

[0177] "Information presentation" refers to displaying or providing relevant information or content to users.

[0178] This invention relates to a system that controls an information terminal by generating optimal operating procedures based on user voice commands. This system analyzes voice commands, recognizes the user's emotions, and provides actions that can respond to individual needs.

[0179] First, the microphone on the device receives the user's voice commands. The received voice data is converted into text data using speech-to-text technology (e.g., Google Cloud Speech-to-Text). The text data is then sent to the server.

[0180] The server analyzes the received text data and generates optimal operating procedures based on a generative AI model (e.g., OpenAI® GPT-3®). The server also uses an emotion engine (e.g., IBM Watson® Tone Analyzer) to recognize emotions from the speech and, for example, adjust the interface to a brighter theme or change the recommended content if the user is happy.

[0181] The generated operating instructions are sent to the terminal's information input / output device, and a specific action is executed. This allows users to enjoy flexible, emotion-responsive system operation while naturally using voice commands.

[0182] For example, if a user requests "play some relaxing music," the system can understand this intention and prepare a calming music list while also changing the interface to a more soothing color scheme. Another example of a prompt to the generative AI model would be: "When a user says they want to relax, suggest a suitable music list. Also, suggest an interface theme that will help the user relax."

[0183] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0184] Step 1:

[0185] The user inputs voice commands using the microphone built into the device. The voice sent to the microphone as voice data is converted into text data using speech-to-text conversion technology. In this process, the voice input is captured, the voice is analyzed by a language model as part of the text conversion process, and the data is output in text format.

[0186] Step 2:

[0187] The converted text data is sent from the terminal to the server. The server receives this text data as input and uses a generative AI model to generate the requested operation procedure. Based on the analyzed data, the AI ​​model receives the prompt text, performs internal calculations, and outputs the specific procedure corresponding to the user's instructions.

[0188] Step 3:

[0189] The server uses an emotion engine to analyze the user's emotions as interpreted from voice commands. It determines emotions from the nuances of the voice data and the text content, and outputs an emotional state such as cheerful or calm. Based on these results, it determines how the interface and the content provided should be adjusted.

[0190] Step 4:

[0191] The generated operating procedures and the results of sentiment analysis are integrated, and the optimized procedures are sent to the terminal. Upon receiving this data, the terminal uses its information input / output device to perform appropriate interface displays and actions. Specifically, the user's requested operations, such as playing music or changing the interface's color scheme, are executed.

[0192] Step 5:

[0193] As a result of the operation, data of the execution result is sent from the terminal to the server. The server records this data and updates a database for analysis and future guidance. This contributes to the continuous improvement of the system and the enhancement of the individual user experience.

[0194] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating 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.

[0195] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0196] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0197] [Second Embodiment]

[0198] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0199] As shown in Figure 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.

[0200] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0201] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0202] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0203] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0204] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0205] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0206] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0207] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0208] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0209] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0210] This invention is a system for generating operating procedures based on requests from an information processing device, and transmitting and displaying them to an information input / output device to guide the user. Specifically, the information input / output device receives voice instructions from the user and transmits them as text data to a server. The server uses a generation AI model based on this text data to generate appropriate operating procedures. The generated operating procedures are then transmitted to the terminal, providing a visual guide on the screen. This allows the user to operate the information input / output device according to the presented procedures.

[0211] For example, if a user requests a voice command to their smartphone to "set an alarm," the device converts this voice command into text data and sends it to the server. The server analyzes this request and generates the necessary steps to set the alarm. These steps specifically include launching the alarm application and specifying the alarm time. The device assists the user by displaying these steps as a visual guide on the user's screen and, in some cases, automatically performing the settings.

[0212] This system aims to provide convenience to middle-aged users, who often find it difficult to keep up with technological advancements. This will enable them to make the most of the functions of information input / output devices and utilize them in their daily lives and work.

[0213] The following describes the processing flow.

[0214] Step 1:

[0215] User: Speaks a voice command into the smartphone's microphone. This voice command might be something like, "Add an event to the calendar."

[0216] Step 2:

[0217] Terminal: Uses a speech recognition system to convert user voice commands into text data. Prepares the converted text data to be sent to the server.

[0218] Step 3:

[0219] Server: Analyzes text data received from the terminal. Using a generative AI model, it generates appropriate procedures in response to the requested operation. These procedures include instructions for operating a specific application.

[0220] Step 4:

[0221] Server: Sends the generated operating instructions to the terminal. The operating instructions include specific instructions such as the steps required for the actual operation and any necessary configuration changes.

[0222] Step 5:

[0223] Terminal: Displays the operation instructions received from the server on the user's screen. Visual guides (e.g., highlights or finger icons) indicate where the user should take action.

[0224] Step 6:

[0225] User: Follow the instructions displayed on the device and perform the necessary actions. If automated operation is enabled, the device will automatically change the settings.

[0226] Step 7:

[0227] Terminal: Notifies the server that the user has completed an operation. Record the result and prepare the next instructions as needed.

[0228] (Example 1)

[0229] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0230] One challenge in operating information processing devices is that users often find it difficult to perform technically advanced operations intuitively and efficiently. Furthermore, there is a need for methods to automate operating procedures based on voice commands, thereby reducing the burden on users.

[0231] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0232] In this invention, the server includes means for receiving sound information, means for converting sound information into text information, and means for interpreting the text information and constructing operation procedures using generative artificial intelligence. This enables a system in which users can automate complex operations through voice commands and operate intuitively.

[0233] A "device for receiving sound information" is a device that has a means of capturing sound and is capable of receiving voice input from a user.

[0234] "Means of converting to textual information" refers to a function that analyzes received audio and performs the process of converting it into a corresponding textual representation.

[0235] "Generative artificial intelligence" refers to a computer program or system that has the ability to generate information autonomously or based on instructions, using a large amount of data.

[0236] "Operating instructions" are a set of instructions that include a series of steps necessary to accomplish a specific task.

[0237] A "display device" is a hardware or software component used to provide visual information to a user.

[0238] A "control device" is a device that has the function of instructing or managing the operation of other equipment or systems.

[0239] This invention enables intuitive system operation by receiving voice commands within an information processing system, generating operating procedures based on those voice commands, and providing visual instructions to the user.

[0240] First, the user gives a voice command to the device. The device receives the audio information using its microphone and converts the audio data into text using speech recognition software. A general speech recognition model is used in this process.

[0241] Next, the server receives the text information and uses a generative artificial intelligence model to generate appropriate operating procedures. This generative AI model is trained on past data, and for example, if a user requests by voice, "Set an alarm," it will devise procedures such as "Open the alarm app" and "Set the time" as a response.

[0242] These generated instructions are sent from the server to the terminal, which then provides an interface to visually assist the user. Specifically, it can display an operation guide on the screen and, in some cases, automatically launch necessary applications and perform initial setup.

[0243] This system is expected to simplify complex operations and improve the efficiency of device usage, especially for users who are hesitant about technology.

[0244] For example, if a user gives a voice command to the device such as "play music," the device converts this into text data and sends it to the server. The server uses a generative AI model to generate the steps for playing music and sends them back to the device. The device then displays a guide to help the user easily enjoy the music.

[0245] An example of a prompt message is, "Please provide a concrete example of automatically generating a procedure based on the user's voice instructions." In this way, the entire system can respond smoothly to the user's voice instructions.

[0246] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0247] Step 1:

[0248] The user gives voice commands to the terminal, which is a voice input device. For example, the user might say, "Set an alarm." The terminal receives this voice data and inputs it as sound information through its internal microphone.

[0249] Step 2:

[0250] The device converts the received audio information into text information using speech recognition software. Specifically, it utilizes speech recognition services such as Google Speech-to-Text to analyze the audio data and generate the text "Set an alarm." This text data becomes the input for the next process.

[0251] Step 3:

[0252] The terminal sends the converted text data to the server. The server receives this text data and prepares to parse the user's request. At this point, the server receives the text data as input.

[0253] Step 4:

[0254] The server analyzes the received text data using a generative AI model and generates appropriate operating procedures. Specifically, based on the data the AI ​​model has learned, it devises operating procedures such as "open the app to set an alarm" and "specify the time." The generated procedures become the output data.

[0255] Step 5:

[0256] The server sends the generated operating instructions to the terminal. The terminal receives this information and prepares to inform the user of the operating instructions via a visual interface. The received instructions become the terminal's input.

[0257] Step 6:

[0258] The device displays the generated operating instructions on the screen, providing a visual guide to assist the user. At this time, it highlights the alarm app icon and instructs the user to "Tap here to set an alarm." The output provides information that makes it easy for the user to intuitively understand the operation.

[0259] (Application Example 1)

[0260] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0261] In today's increasingly diverse lifestyles, consumers face a growing need to understand the usage and characteristics of products when selecting items in physical stores. Therefore, there is a need for means to support immediate and intuitive understanding of products.

[0262] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0263] In this invention, the server includes means for receiving requests from an information acquisition device, means for generating operation instructions based on the requests, and means for transmitting and displaying the operation instructions on an information display device. This enables consumers to make purchase decisions while visually understanding how to use the products in a physical store.

[0264] An "information acquisition device" is a device that receives voice and other data from a user and inputs it into the system.

[0265] "Operation instructions" are procedures or guidelines generated to guide users through specific operations based on their requests.

[0266] An "information display device" is a device that displays generated instructions and procedures so that the user can visually confirm them.

[0267] "Return information" refers to data sent back to the system based on the results of operations performed on the information display device.

[0268] An "audio signal" is a signal that has been converted from the words spoken by a user into digital data.

[0269] "Character signals" are text-based data generated from audio signals.

[0270] An "operation management means" is a mechanism for automatically adjusting the settings and operation of a device based on the generated operation instructions.

[0271] In this invention, a server, an information acquisition device (for example, a smartphone or smart glasses), and an information display device cooperate to provide operation instructions to the user.

[0272] The server first uses speech recognition software to convert the audio signal transmitted from the information acquisition device into text data. This process uses tools such as the Google Cloud Speech-to-Text API. Next, based on the text data, a generative AI model is used to generate action instructions. For example, the generation process is performed using the prompt, "Please explain the basic setup procedure and general usage of Bluetooth earphones." Using this prompt, the AI ​​model generates the optimal procedure for the user.

[0273] The generated operation instructions are sent to an information display device. This information display device visually presents the information to the user, for example, through an application developed using React Native. Based on this information, the user can understand and operate the product more intuitively.

[0274] As a concrete example, when a user tries out new Bluetooth earphones in a physical store, they can use this system to voice-input a request through smart glasses, such as "Tell me how to use this product." The server then generates a set of instructions based on this request, and a guide on how to wear and connect the earphones is displayed in the user's field of vision.

[0275] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0276] Step 1:

[0277] The terminal acquires voice input from the user. The user uses a smartphone or smart glasses to make a voice request such as "Please teach me how to use this product." This voice data is inputted.

[0278] Step 2:

[0279] The terminal uses the Google Cloud Speech-to-Text API to convert the voice data into character data. The voice signal is converted into text format and is ready to be sent to the server.

[0280] Step 3:

[0281] The server receives the converted text data. As a prompt sentence, the form "Please explain the basic setup procedure and general usage method of Bluetooth earphones" is used. This text data is inputted into the generation AI model.

[0282] Step 4:

[0283] The server uses the generation AI model to generate appropriate operation instructions. Based on the inputted prompt, the AI model generates an operation guide or procedure that matches the user's request. This generated data is outputted.

[0284] Step 5:

[0285] The server sends the generated operation instructions to the terminal. On the terminal, preparations are made to visually display this information in an application using React Native.

[0286] Step 6:

[0287] The terminal displays a guide to the user through the information display device. On the user's smartphone or smart glasses, the operation procedure and usage method related to the product are visually presented. This makes it easier for the user to understand how to use the product.

[0288] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0289] This invention is a system that recognizes user voice instructions and emotions and assists in the operation of an information input / output device. The system comprises an information processing device, an emotion engine, voice conversion means, and operation control means. When a user gives a voice instruction, the terminal converts the voice into text data and then sends it to the server. The server analyzes the received text data and creates operation procedures according to the request using a generation AI model. Furthermore, the emotion engine recognizes emotions from the user's voice and provides information to adjust the operation procedures and interface.

[0290] For example, if a user happily commands "Play music," the device analyzes the voice, converts it into text data, and sends it to the server. The server processes this command and generates steps to launch the music app. At the same time, the emotion engine determines that the user is happy and suggests a list of music to play based on that emotion, or switches to a bright and colorful interface.

[0291] Thus, the present invention enables all users, including middle-aged individuals, to operate the information input / output device comfortably and intuitively by adjusting the system's operation while considering the user's emotional state. This system aims to improve operability and user experience by providing personalized services tailored to the individual user's state and circumstances.

[0292] The following describes the processing flow.

[0293] Step 1:

[0294] User: Gives voice commands to their smartphone. These commands naturally reflect both specific actions and the user's emotions. For example, "Play some fun music."

[0295] Step 2:

[0296] Terminal: Sends voice commands from the user to the speech recognition system and converts them into text data. It also sends the voice data to the emotion engine to prepare it for analyzing the user's emotions.

[0297] Step 3:

[0298] Server: Based on text data received from the terminal, it generates appropriate operating procedures using a generative AI model. Simultaneously, the emotion engine recognizes emotions such as joy and sadness from the user's voice.

[0299] Step 4:

[0300] Server: Sends the generated operating instructions, along with recommended settings and interface adjustments based on recognized emotions, to the terminal.

[0301] Step 5:

[0302] Terminal: Displays received operating instructions as a visual guide on the user's screen. Furthermore, it applies settings that suggest interface colors and music lists based on the user's emotions.

[0303] Step 6:

[0304] User: Follow the instructions displayed on the device. If automatic configuration occurs, review the results and make any necessary corrections.

[0305] Step 7:

[0306] Terminal: Record the operation results executed and the updated emotional state of the user, and send it to the server as data to be utilized in subsequent operations.

[0307] (Example 2)

[0308] Next, Example 2 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0309] There is a demand to convert the user's voice instructions into operations of the information input / output device more intuitively and comfortably. Also, it is important to provide a personalized interface and operation procedure considering the user's emotional state. However, currently, operations based only on voice instructions have limitations, and in particular, flexible responses reflecting the user's emotions have not been fully realized. Therefore, establishing a system for generating operation procedures that appropriately reflect the user's voice instructions and emotions and improving convenience and the user experience is an issue.

[0310] The specific processing by the specific processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0311] In this invention, the server includes means for receiving voice data from the user, means for converting the voice data into text data, means for analyzing the text data to generate an operation procedure, means for analyzing the user's emotional state, and means for adjusting the operation procedure or the interface of the information input / output device according to the emotional state. Thereby, it becomes possible to quickly convert the user's voice instructions into text, accurately grasp the intention, and provide an optimal operation procedure. Furthermore, it enables personalized interface adjustment based on the emotional state and realizes an improvement in the user experience.

[0312] "Voice data" refers to information obtained by recording the voice uttered by the user as a digital signal.

[0313] "Text data" refers to digital information obtained by analyzing audio data and converting it into a string of characters.

[0314] "Voice conversion means" refers to technologies and devices for converting voice data into text data.

[0315] An "operational procedure" is a systematically organized set of steps for performing an operation based on the user's instructions.

[0316] An "information input / output device" is a device used for exchanging data with users, and it has both input and output functions.

[0317] "Emotional state" refers to the feelings and emotional responses expressed by the user in the audio data, and includes the analysis and identification of these.

[0318] "Generative AI technology" refers to technologies that utilize artificial intelligence to generate effective results and procedures from data.

[0319] A "prompt message" refers to a phrase that indicates instructions or conditions to be input into a generative AI technology.

[0320] This invention is a system that recognizes the user's voice instructions and emotions to assist in the operation of an information input / output device. Specifically, when the user gives a voice instruction, the terminal acquires the voice and converts it into text data using a voice conversion means. Voice recognition software is used for the voice conversion. For example, a commonly used voice recognition API can be used. This text data is transmitted to a server via a network.

[0321] The server analyzes the received text data and generates a set of action instructions based on the user's commands. It is recommended to use a natural language processing library for the analysis. Furthermore, the generated action instructions are automatically created using a generative AI model. For example, prompts such as "Suggest an appropriate music list based on the user's mood" can be used.

[0322] Furthermore, the server uses emotion analysis tools to recognize the user's emotional state from the audio data. Based on the emotional state, it adjusts the operating procedures and the interfaces of the information input / output devices. If the user shows positive emotions in response to the user's actions, the system can adjust by changing the screen to a brighter color scheme or highlighting recommended playlists.

[0323] This system accurately receives and analyzes user voice commands and utilizes generative AI technology to enable convenient and personalized operation. For example, if a user asks to "play some relaxing music" in the living room, the system can select the most suitable music considering the mood and voice of the user.

[0324] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0325] Step 1:

[0326] The device receives the user's voice commands. In this step, the voice (input) spoken by the user is converted into digital voice data through the device's microphone. Specifically, the voice is converted into text data by voice recognition software (output). This allows the user's intentions to be captured as text information.

[0327] Step 2:

[0328] The terminal sends the converted text data to the server. In this step, the text data (input) is sent to the server over the network. A standard communication protocol is used to transmit the data (output). This prepares the server to analyze the user's instructions.

[0329] Step 3:

[0330] The server analyzes the received text data. Here, the server uses a natural language processing library to analyze the text data (input) and understand the user's intent (output). Specifically, it analyzes the grammatical structure and keywords to identify commands.

[0331] Step 4:

[0332] The server generates the action procedure using a generation AI model. In this step, based on the analyzed user intent, the server inputs prompt statements into the generation AI model to create the appropriate action procedure (output). For example, the instruction "Play music" would include the procedure "Open the music app and play the specified playlist."

[0333] Step 5:

[0334] The server analyzes the user's emotional state from the voice data. The voice analysis tool analyzes the voice data (input) and identifies the user's emotional state (output). For example, it can determine emotions such as "joy" or "calmness" from the tone and pace of the voice.

[0335] Step 6:

[0336] The server generates adjustment information based on the emotional state. In this step, the server generates adjustment information (output) for the operating procedure or interface based on the emotional state. For example, if the emotional state is "joyful," cheerful themes or fun music suggestions will be made.

[0337] Step 7:

[0338] The server sends the processing results to the terminal, and the terminal executes the operating procedure. Finally, the server sends the generated operating procedure and adjustment information (output) to the terminal, and the terminal controls the device accordingly. Specifically, it provides feedback to the user by playing music or changing the UI.

[0339] (Application Example 2)

[0340] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0341] A challenge exists in the quality of the user experience due to a lack of flexibility in user interaction based on voice commands and sentiment analysis. Specifically, the lack of content recommendations that take into account the user's emotional state, and the absence of automatic interface adjustments, result in insufficient individual support.

[0342] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0343] In this invention, the server includes means for receiving requests from an information processing device, means for analyzing voice instructions and adjusting operating procedures and interfaces through emotion analysis, and means for automatically changing settings based on the generated operating procedures and presenting information according to the user's emotional state. This enables the user to perform flexible operations according to their emotions and circumstances.

[0344] An "information processing device" is a device that processes various information based on received data and generates instructions for action or results.

[0345] A "request" is an instruction or request that an information processing device needs to perform a specific operation or action.

[0346] An "operating procedure" refers to a series of steps or processes performed to achieve a specific result or function.

[0347] An "information input / output device" is a device that receives and displays data and information.

[0348] "Voice commands" refer to instructions or commands that a user gives to a device using their voice.

[0349] "Emotion analysis" is the process of estimating and determining a user's emotions and mood based on their tone of voice, manner of speaking, and other factors.

[0350] An "interface" is the point of contact between a user and an information system, and refers to the screen or display method used for operation and information presentation.

[0351] "Configuring settings" refers to a method of adjusting the operation or results of a system or application by changing its operating conditions.

[0352] "Information presentation" refers to displaying or providing relevant information or content to users.

[0353] This invention relates to a system that controls an information terminal by generating optimal operating procedures based on user voice commands. This system analyzes voice commands, recognizes the user's emotions, and provides actions that can respond to individual needs.

[0354] First, the microphone on the device receives the user's voice commands. The received voice data is converted into text data using speech-to-text technology (e.g., Google Cloud Speech-to-Text). The text data is then sent to the server.

[0355] The server analyzes the received text data and generates optimal operating procedures based on a generative AI model (e.g., OpenAI GPT-3). The server also uses an emotion engine (e.g., IBM Watson Tone Analyzer) to recognize emotions from the speech, and adjusts the interface to a brighter theme or changes the recommended content, for example, if the user is happy.

[0356] The generated operating instructions are sent to the terminal's information input / output device, and a specific action is executed. This allows users to enjoy flexible, emotion-responsive system operation while naturally using voice commands.

[0357] For example, if a user requests "play some relaxing music," the system can understand this intention and prepare a calming music list while also changing the interface to a more soothing color scheme. Another example of a prompt to the generative AI model would be: "When a user says they want to relax, suggest a suitable music list. Also, suggest an interface theme that will help the user relax."

[0358] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0359] Step 1:

[0360] The user inputs voice commands using the microphone built into the device. The voice sent to the microphone as voice data is converted into text data using speech-to-text conversion technology. In this process, the voice input is captured, the voice is analyzed by a language model as part of the text conversion process, and the data is output in text format.

[0361] Step 2:

[0362] The converted text data is sent from the terminal to the server. The server receives this text data as input and uses a generative AI model to generate the requested operation procedure. Based on the analyzed data, the AI ​​model receives the prompt text, performs internal calculations, and outputs the specific procedure corresponding to the user's instructions.

[0363] Step 3:

[0364] The server uses an emotion engine to analyze the user's emotions as interpreted from voice commands. It determines emotions from the nuances of the voice data and the text content, and outputs an emotional state such as cheerful or calm. Based on these results, it determines how the interface and the content provided should be adjusted.

[0365] Step 4:

[0366] The generated operating procedures and the results of sentiment analysis are integrated, and the optimized procedures are sent to the terminal. Upon receiving this data, the terminal uses its information input / output device to perform appropriate interface displays and actions. Specifically, the user's requested operations, such as playing music or changing the interface's color scheme, are executed.

[0367] Step 5:

[0368] As a result of the operation, data of the execution result is sent from the terminal to the server. The server records this data and updates a database for analysis and future guidance. This contributes to the continuous improvement of the system and the enhancement of the individual user experience.

[0369] 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 user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0370] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0371] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0372] [Third Embodiment]

[0373] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0374] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0375] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0376] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0377] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0378] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0379] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0380] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0381] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0382] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0383] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0384] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0385] This invention is a system for generating operating procedures based on requests from an information processing device, and transmitting and displaying them to an information input / output device to guide the user. Specifically, the information input / output device receives voice instructions from the user and transmits them as text data to a server. The server uses a generation AI model based on this text data to generate appropriate operating procedures. The generated operating procedures are then transmitted to the terminal, providing a visual guide on the screen. This allows the user to operate the information input / output device according to the presented procedures.

[0386] For example, if a user requests a voice command to their smartphone to "set an alarm," the device converts this voice command into text data and sends it to the server. The server analyzes this request and generates the necessary steps to set the alarm. These steps specifically include launching the alarm application and specifying the alarm time. The device assists the user by displaying these steps as a visual guide on the user's screen and, in some cases, automatically performing the settings.

[0387] This system aims to provide convenience to middle-aged users, who often find it difficult to keep up with technological advancements. This will enable them to make the most of the functions of information input / output devices and utilize them in their daily lives and work.

[0388] The following describes the processing flow.

[0389] Step 1:

[0390] User: Speaks a voice command into the smartphone's microphone. This voice command might be something like, "Add an event to the calendar."

[0391] Step 2:

[0392] Terminal: Uses a speech recognition system to convert user voice commands into text data. Prepares the converted text data to be sent to the server.

[0393] Step 3:

[0394] Server: Analyzes text data received from the terminal. Using a generative AI model, it generates appropriate procedures in response to the requested operation. These procedures include instructions for operating a specific application.

[0395] Step 4:

[0396] Server: Sends the generated operating instructions to the terminal. The operating instructions include specific instructions such as the steps required for the actual operation and any necessary configuration changes.

[0397] Step 5:

[0398] Terminal: Displays the operation instructions received from the server on the user's screen. Visual guides (e.g., highlights or finger icons) indicate where the user should take action.

[0399] Step 6:

[0400] User: Follow the instructions displayed on the device and perform the necessary actions. If automated operation is enabled, the device will automatically change the settings.

[0401] Step 7:

[0402] Terminal: Notifies the server that the user has completed an operation. Record the result and prepare the next instructions as needed.

[0403] (Example 1)

[0404] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0405] One challenge in operating information processing devices is that users often find it difficult to perform technically advanced operations intuitively and efficiently. Furthermore, there is a need for methods to automate operating procedures based on voice commands, thereby reducing the burden on users.

[0406] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0407] In this invention, the server includes means for receiving sound information, means for converting sound information into text information, and means for interpreting the text information and constructing operation procedures using generative artificial intelligence. This enables a system in which users can automate complex operations through voice commands and operate intuitively.

[0408] A "device for receiving sound information" is a device that has a means of capturing sound and is capable of receiving voice input from a user.

[0409] "Means of converting to textual information" refers to a function that analyzes received audio and performs the process of converting it into a corresponding textual representation.

[0410] "Generative artificial intelligence" refers to a computer program or system that has the ability to generate information autonomously or based on instructions, using a large amount of data.

[0411] "Operating instructions" are a set of instructions that include a series of steps necessary to accomplish a specific task.

[0412] A "display device" is a hardware or software component used to provide visual information to a user.

[0413] A "control device" is a device that has the function of instructing or managing the operation of other equipment or systems.

[0414] This invention enables intuitive system operation by receiving voice commands within an information processing system, generating operating procedures based on those voice commands, and providing visual instructions to the user.

[0415] First, the user gives a voice command to the device. The device receives the audio information using its microphone and converts the audio data into text using speech recognition software. A general speech recognition model is used in this process.

[0416] Next, the server receives the text information and uses a generative artificial intelligence model to generate appropriate operating procedures. This generative AI model is trained on past data, and for example, if a user requests by voice, "Set an alarm," it will devise procedures such as "Open the alarm app" and "Set the time" as a response.

[0417] These generated instructions are sent from the server to the terminal, which then provides an interface to visually assist the user. Specifically, it can display an operation guide on the screen and, in some cases, automatically launch necessary applications and perform initial setup.

[0418] This system is expected to simplify complex operations and improve the efficiency of device usage, especially for users who are hesitant about technology.

[0419] For example, if a user gives a voice command to the device such as "play music," the device converts this into text data and sends it to the server. The server uses a generative AI model to generate the steps for playing music and sends them back to the device. The device then displays a guide to help the user easily enjoy the music.

[0420] An example of a prompt message is, "Please provide a concrete example of automatically generating a procedure based on the user's voice instructions." In this way, the entire system can respond smoothly to the user's voice instructions.

[0421] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0422] Step 1:

[0423] The user gives voice commands to the terminal, which is a voice input device. For example, the user might say, "Set an alarm." The terminal receives this voice data and inputs it as sound information through its internal microphone.

[0424] Step 2:

[0425] The device converts the received audio information into text information using speech recognition software. Specifically, it utilizes speech recognition services such as Google Speech-to-Text to analyze the audio data and generate the text "Set an alarm." This text data becomes the input for the next process.

[0426] Step 3:

[0427] The terminal sends the converted text data to the server. The server receives this text data and prepares to parse the user's request. At this point, the server receives the text data as input.

[0428] Step 4:

[0429] The server analyzes the received text data using a generative AI model and generates appropriate operating procedures. Specifically, based on the data the AI ​​model has learned, it devises operating procedures such as "open the app to set an alarm" and "specify the time." The generated procedures become the output data.

[0430] Step 5:

[0431] The server sends the generated operating instructions to the terminal. The terminal receives this information and prepares to inform the user of the operating instructions via a visual interface. The received instructions become the terminal's input.

[0432] Step 6:

[0433] The device displays the generated operating instructions on the screen, providing a visual guide to assist the user. At this time, it highlights the alarm app icon and instructs the user to "Tap here to set an alarm." The output provides information that makes it easy for the user to intuitively understand the operation.

[0434] (Application Example 1)

[0435] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0436] In today's increasingly diverse lifestyles, consumers face a growing need to understand the usage and characteristics of products when selecting items in physical stores. Therefore, there is a need for means to support immediate and intuitive understanding of products.

[0437] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0438] In this invention, the server includes means for receiving requests from an information acquisition device, means for generating operation instructions based on the requests, and means for transmitting and displaying the operation instructions on an information display device. This enables consumers to make purchase decisions while visually understanding how to use the products in a physical store.

[0439] An "information acquisition device" is a device that receives voice and other data from a user and inputs it into the system.

[0440] "Operation instructions" are procedures or guidelines generated to guide users through specific operations based on their requests.

[0441] An "information display device" is a device that displays generated instructions and procedures so that the user can visually confirm them.

[0442] "Return information" refers to data sent back to the system based on the results of operations performed on the information display device.

[0443] An "audio signal" is a signal that has been converted from the words spoken by a user into digital data.

[0444] "Character signals" are text-based data generated from audio signals.

[0445] An "operation management means" is a mechanism for automatically adjusting the settings and operation of a device based on the generated operation instructions.

[0446] In this invention, a server, an information acquisition device (for example, a smartphone or smart glasses), and an information display device cooperate to provide operation instructions to the user.

[0447] The server first uses speech recognition software to convert the audio signal transmitted from the information acquisition device into text data. This process uses tools such as the Google Cloud Speech-to-Text API. Next, based on the text data, a generative AI model is used to generate action instructions. For example, the generation process is performed using the prompt, "Please explain the basic setup procedure and general usage of Bluetooth earphones." Using this prompt, the AI ​​model generates the optimal procedure for the user.

[0448] The generated operation instructions are sent to an information display device. This information display device visually presents the information to the user, for example, through an application developed using React Native. Based on this information, the user can understand and operate the product more intuitively.

[0449] As a concrete example, when a user tries out new Bluetooth earphones in a physical store, they can use this system to voice-input a request through smart glasses, such as "Tell me how to use this product." The server then generates a set of instructions based on this request, and a guide on how to wear and connect the earphones is displayed in the user's field of vision.

[0450] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0451] Step 1:

[0452] The device acquires voice input from the user. The user uses a smartphone or smart glasses to make a voice request, such as "Tell me how to use this product." This voice data is then input.

[0453] Step 2:

[0454] The device uses the Google Cloud Speech-to-Text API to convert the audio data into text data. The audio signal is then converted into text format and ready to be sent to the server.

[0455] Step 3:

[0456] The server receives the converted text data. The prompt uses the format, "Please explain the basic setup procedure and general usage of Bluetooth earphones." This text data is then input into the AI ​​model.

[0457] Step 4:

[0458] The server generates appropriate operational instructions using a generated AI model. Based on the input prompts, the AI ​​model generates an operation guide or procedure that matches the user's request. This generated data is then output.

[0459] Step 5:

[0460] The server sends the generated operation instructions to the terminal. The terminal then prepares to visually display this information using a React Native application.

[0461] Step 6:

[0462] The terminal displays a guide to the user via an information display device. Operating procedures and usage instructions for the product are visually presented on the user's smartphone or smart glasses. This makes it easier for the user to understand how to use the product.

[0463] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0464] This invention is a system that recognizes user voice instructions and emotions and assists in the operation of an information input / output device. The system comprises an information processing device, an emotion engine, voice conversion means, and operation control means. When a user gives a voice instruction, the terminal converts the voice into text data and then sends it to the server. The server analyzes the received text data and creates operation procedures according to the request using a generation AI model. Furthermore, the emotion engine recognizes emotions from the user's voice and provides information to adjust the operation procedures and interface.

[0465] For example, if a user happily commands "Play music," the device analyzes the voice, converts it into text data, and sends it to the server. The server processes this command and generates steps to launch the music app. At the same time, the emotion engine determines that the user is happy and suggests a list of music to play based on that emotion, or switches to a bright and colorful interface.

[0466] Thus, the present invention enables all users, including middle-aged individuals, to operate the information input / output device comfortably and intuitively by adjusting the system's operation while considering the user's emotional state. This system aims to improve operability and user experience by providing personalized services tailored to the individual user's state and circumstances.

[0467] The following describes the processing flow.

[0468] Step 1:

[0469] User: Gives voice commands to their smartphone. These commands naturally reflect both specific actions and the user's emotions. For example, "Play some fun music."

[0470] Step 2:

[0471] Terminal: Sends voice commands from the user to the speech recognition system and converts them into text data. It also sends the voice data to the emotion engine to prepare it for analyzing the user's emotions.

[0472] Step 3:

[0473] Server: Based on text data received from the terminal, it generates appropriate operating procedures using a generative AI model. Simultaneously, the emotion engine recognizes emotions such as joy and sadness from the user's voice.

[0474] Step 4:

[0475] Server: Sends the generated operating instructions, along with recommended settings and interface adjustments based on recognized emotions, to the terminal.

[0476] Step 5:

[0477] Terminal: Displays received operating instructions as a visual guide on the user's screen. Furthermore, it applies settings that suggest interface colors and music lists based on the user's emotions.

[0478] Step 6:

[0479] User: Follow the instructions displayed on the device. If automatic configuration occurs, review the results and make any necessary corrections.

[0480] Step 7:

[0481] Terminal: Records the results of the executed operations and the updated user's emotional state, and sends this data to the server for use in future operations.

[0482] (Example 2)

[0483] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0484] There is a need to translate user voice commands into more intuitive and comfortable operation of information input / output devices. Furthermore, providing personalized interfaces and operating procedures that take into account the user's emotional state is crucial. However, currently, operation solely through voice commands has limitations, and flexible responses that reflect the user's emotions are not sufficiently realized. Therefore, the challenge lies in establishing a system that generates operating procedures that appropriately reflect the user's voice commands and emotions, thereby improving convenience and user experience.

[0485] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0486] In this invention, the server includes means for receiving voice data from a user, means for converting the voice data into text data, means for analyzing the text data to generate an operation procedure, means for analyzing the user's emotional state, and means for adjusting the operation procedure or the interface of an information input / output device according to the emotional state. This makes it possible to quickly convert the user's voice instructions into text, accurately grasp their intent, and provide the optimal operation procedure. Furthermore, it enables personalized interface adjustments based on the emotional state, thereby improving the user experience.

[0487] "Audio data" refers to information recorded as a digital signal of the voice spoken by the user.

[0488] "Text data" refers to digital information obtained by analyzing audio data and converting it into a string of characters.

[0489] "Voice conversion means" refers to technologies and devices for converting voice data into text data.

[0490] An "operational procedure" is a systematically organized set of steps for performing an operation based on the user's instructions.

[0491] An "information input / output device" is a device used for exchanging data with users, and it has both input and output functions.

[0492] "Emotional state" refers to the feelings and emotional responses expressed by the user in the audio data, and includes the analysis and identification of these.

[0493] "Generative AI technology" refers to technologies that utilize artificial intelligence to generate effective results and procedures from data.

[0494] A "prompt message" refers to a phrase that indicates instructions or conditions to be input into a generative AI technology.

[0495] This invention is a system that recognizes the user's voice instructions and emotions to assist in the operation of an information input / output device. Specifically, when the user gives a voice instruction, the terminal acquires the voice and converts it into text data using a voice conversion means. Voice recognition software is used for the voice conversion. For example, a commonly used voice recognition API can be used. This text data is transmitted to a server via a network.

[0496] The server analyzes the received text data and generates a set of action instructions based on the user's commands. It is recommended to use a natural language processing library for the analysis. Furthermore, the generated action instructions are automatically created using a generative AI model. For example, prompts such as "Suggest an appropriate music list based on the user's mood" can be used.

[0497] Furthermore, the server uses emotion analysis tools to recognize the user's emotional state from the audio data. Based on the emotional state, it adjusts the operating procedures and the interfaces of the information input / output devices. If the user shows positive emotions in response to the user's actions, the system can adjust by changing the screen to a brighter color scheme or highlighting recommended playlists.

[0498] This system accurately receives and analyzes user voice commands and utilizes generative AI technology to enable convenient and personalized operation. For example, if a user asks to "play some relaxing music" in the living room, the system can select the most suitable music considering the mood and voice of the user.

[0499] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0500] Step 1:

[0501] The device receives the user's voice commands. In this step, the voice (input) spoken by the user is converted into digital voice data through the device's microphone. Specifically, the voice is converted into text data by voice recognition software (output). This allows the user's intentions to be captured as text information.

[0502] Step 2:

[0503] The terminal sends the converted text data to the server. In this step, the text data (input) is sent to the server over the network. A standard communication protocol is used to transmit the data (output). This prepares the server to analyze the user's instructions.

[0504] Step 3:

[0505] The server analyzes the received text data. Here, the server uses a natural language processing library to analyze the text data (input) and understand the user's intent (output). Specifically, it analyzes the grammatical structure and keywords to identify commands.

[0506] Step 4:

[0507] The server generates the action procedure using a generation AI model. In this step, based on the analyzed user intent, the server inputs prompt statements into the generation AI model to create the appropriate action procedure (output). For example, the instruction "Play music" would include the procedure "Open the music app and play the specified playlist."

[0508] Step 5:

[0509] The server analyzes the user's emotional state from the voice data. The voice analysis tool analyzes the voice data (input) and identifies the user's emotional state (output). For example, it can determine emotions such as "joy" or "calmness" from the tone and pace of the voice.

[0510] Step 6:

[0511] The server generates adjustment information based on the emotional state. In this step, the server generates adjustment information (output) for the operating procedure or interface based on the emotional state. For example, if the emotional state is "joyful," cheerful themes or pleasant music will be suggested.

[0512] Step 7:

[0513] The server sends the processing results to the terminal, and the terminal executes the operating procedure. Finally, the server sends the generated operating procedure and adjustment information (output) to the terminal, and the terminal controls the device accordingly. Specifically, it provides feedback to the user by playing music or changing the UI.

[0514] (Application Example 2)

[0515] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0516] A challenge exists in the quality of the user experience due to a lack of flexibility in user interaction based on voice commands and sentiment analysis. Specifically, the lack of content recommendations that take into account the user's emotional state, and the absence of automatic interface adjustments, result in insufficient individual support.

[0517] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0518] In this invention, the server includes means for receiving requests from an information processing device, means for analyzing voice instructions and adjusting operating procedures and interfaces through emotion analysis, and means for automatically changing settings based on the generated operating procedures and presenting information according to the user's emotional state. This enables the user to perform flexible operations according to their emotions and circumstances.

[0519] An "information processing device" is a device that processes various information based on received data and generates instructions for action or results.

[0520] A "request" is an instruction or request that an information processing device needs to perform a specific operation or action.

[0521] An "operating procedure" refers to a series of steps or processes performed to achieve a specific result or function.

[0522] An "information input / output device" is a device that receives and displays data and information.

[0523] "Voice commands" refer to instructions or commands that a user gives to a device using their voice.

[0524] "Emotion analysis" is the process of estimating and determining a user's emotions and mood based on their tone of voice, manner of speaking, and other factors.

[0525] An "interface" is the point of contact between a user and an information system, and refers to the screen or display method used for operation and information presentation.

[0526] "Configuring settings" refers to a method of adjusting the operation or results of a system or application by changing its operating conditions.

[0527] "Information presentation" refers to displaying or providing relevant information or content to users.

[0528] This invention relates to a system that controls an information terminal by generating optimal operating procedures based on user voice commands. This system analyzes voice commands, recognizes the user's emotions, and provides actions that can respond to individual needs.

[0529] First, the microphone on the device receives the user's voice commands. The received voice data is converted into text data using speech-to-text technology (e.g., Google Cloud Speech-to-Text). The text data is then sent to the server.

[0530] The server analyzes the received text data and generates optimal operating procedures based on a generative AI model (e.g., OpenAI GPT-3). The server also uses an emotion engine (e.g., IBM Watson Tone Analyzer) to recognize emotions from the speech, and adjusts the interface to a brighter theme or changes the recommended content, for example, if the user is happy.

[0531] The generated operating instructions are sent to the terminal's information input / output device, and a specific action is executed. This allows users to enjoy flexible, emotion-responsive system operation while naturally using voice commands.

[0532] For example, if a user requests "play some relaxing music," the system can understand this intention and prepare a calming music list while also changing the interface to a more soothing color scheme. Another example of a prompt to the generative AI model would be: "When a user says they want to relax, suggest a suitable music list. Also, suggest an interface theme that will help the user relax."

[0533] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0534] Step 1:

[0535] The user inputs voice commands using the microphone built into the device. The voice sent to the microphone as voice data is converted into text data using speech-to-text conversion technology. In this process, the voice input is captured, the voice is analyzed by a language model as part of the text conversion process, and the data is output in text format.

[0536] Step 2:

[0537] The converted text data is sent from the terminal to the server. The server receives this text data as input and uses a generative AI model to generate the requested operation procedure. Based on the analyzed data, the AI ​​model receives the prompt text, performs internal calculations, and outputs the specific procedure corresponding to the user's instructions.

[0538] Step 3:

[0539] The server uses an emotion engine to analyze the user's emotions as interpreted from voice commands. It determines emotions from the nuances of the voice data and the text content, and outputs an emotional state such as cheerful or calm. Based on these results, it determines how the interface and the content provided should be adjusted.

[0540] Step 4:

[0541] The generated operating procedures and the results of sentiment analysis are integrated, and the optimized procedures are sent to the terminal. Upon receiving this data, the terminal uses its information input / output device to perform appropriate interface displays and actions. Specifically, the user's requested operations, such as playing music or changing the interface's color scheme, are executed.

[0542] Step 5:

[0543] As a result of the operation, data of the execution result is sent from the terminal to the server. The server records this data and updates a database for analysis and future guidance. This contributes to the continuous improvement of the system and the enhancement of the individual user experience.

[0544] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0545] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0546] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0547] [Fourth Embodiment]

[0548] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0549] As shown in Figure 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.

[0550] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0551] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0552] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0553] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0554] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0555] The controlled 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 robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0556] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0557] The specific processing program 56 is an example of a "program" relating to the technology of this 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.

[0558] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0559] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. 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 processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0560] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0561] This invention is a system for generating operating procedures based on requests from an information processing device, and transmitting and displaying them to an information input / output device to guide the user. Specifically, the information input / output device receives voice instructions from the user and transmits them as text data to a server. The server uses a generation AI model based on this text data to generate appropriate operating procedures. The generated operating procedures are then transmitted to the terminal, providing a visual guide on the screen. This allows the user to operate the information input / output device according to the presented procedures.

[0562] For example, if a user requests a voice command to their smartphone to "set an alarm," the device converts this voice command into text data and sends it to the server. The server analyzes this request and generates the necessary steps to set the alarm. These steps specifically include launching the alarm application and specifying the alarm time. The device assists the user by displaying these steps as a visual guide on the user's screen and, in some cases, automatically performing the settings.

[0563] This system aims to provide convenience to middle-aged users, who often find it difficult to keep up with technological advancements. This will enable them to make the most of the functions of information input / output devices and utilize them in their daily lives and work.

[0564] The following describes the processing flow.

[0565] Step 1:

[0566] User: Speaks a voice command into the smartphone's microphone. This voice command might be something like, "Add an event to the calendar."

[0567] Step 2:

[0568] Terminal: Uses a speech recognition system to convert user voice commands into text data. Prepares the converted text data to be sent to the server.

[0569] Step 3:

[0570] Server: Analyzes text data received from the terminal. Using a generative AI model, it generates appropriate procedures in response to the requested operation. These procedures include instructions for operating a specific application.

[0571] Step 4:

[0572] Server: Sends the generated operating instructions to the terminal. The operating instructions include specific instructions such as the steps required for the actual operation and any necessary configuration changes.

[0573] Step 5:

[0574] Terminal: Displays the operation instructions received from the server on the user's screen. Visual guides (e.g., highlights or finger icons) indicate where the user should take action.

[0575] Step 6:

[0576] User: Follow the instructions displayed on the device and perform the necessary actions. If automated operation is enabled, the device will automatically change the settings.

[0577] Step 7:

[0578] Terminal: Notifies the server that the user has completed an operation. Record the result and prepare the next instructions as needed.

[0579] (Example 1)

[0580] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0581] One challenge in operating information processing devices is that users often find it difficult to perform technically advanced operations intuitively and efficiently. Furthermore, there is a need for methods to automate operating procedures based on voice commands, thereby reducing the burden on users.

[0582] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0583] In this invention, the server includes means for receiving sound information, means for converting sound information into text information, and means for interpreting the text information and constructing operation procedures using generative artificial intelligence. This enables a system in which users can automate complex operations through voice commands and operate intuitively.

[0584] A "device for receiving sound information" is a device that has a means of capturing sound and is capable of receiving voice input from a user.

[0585] "Means of converting to textual information" refers to a function that analyzes received audio and performs the process of converting it into a corresponding textual representation.

[0586] "Generative artificial intelligence" refers to a computer program or system that has the ability to generate information autonomously or based on instructions, using a large amount of data.

[0587] "Operating instructions" are a set of instructions that include a series of steps necessary to accomplish a specific task.

[0588] A "display device" is a hardware or software component used to provide visual information to a user.

[0589] A "control device" is a device that has the function of instructing or managing the operation of other equipment or systems.

[0590] This invention enables intuitive system operation by receiving voice commands within an information processing system, generating operating procedures based on those voice commands, and providing visual instructions to the user.

[0591] First, the user gives a voice command to the device. The device receives the audio information using its microphone and converts the audio data into text using speech recognition software. A general speech recognition model is used in this process.

[0592] Next, the server receives the text information and uses a generative artificial intelligence model to generate appropriate operating procedures. This generative AI model is trained on past data, and for example, if a user requests by voice, "Set an alarm," it will devise procedures such as "Open the alarm app" and "Set the time" as a response.

[0593] These generated instructions are sent from the server to the terminal, which then provides an interface to visually assist the user. Specifically, it can display an operation guide on the screen and, in some cases, automatically launch necessary applications and perform initial setup.

[0594] This system is expected to simplify complex operations and improve the efficiency of device usage, especially for users who are hesitant about technology.

[0595] For example, if a user gives a voice command to the device such as "play music," the device converts this into text data and sends it to the server. The server uses a generative AI model to generate the steps for playing music and sends them back to the device. The device then displays a guide to help the user easily enjoy the music.

[0596] An example of a prompt message is, "Please provide a concrete example of automatically generating a procedure based on the user's voice instructions." In this way, the entire system can respond smoothly to the user's voice instructions.

[0597] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0598] Step 1:

[0599] The user gives voice commands to the terminal, which is a voice input device. For example, the user might say, "Set an alarm." The terminal receives this voice data and inputs it as sound information through its internal microphone.

[0600] Step 2:

[0601] The device converts the received audio information into text information using speech recognition software. Specifically, it utilizes speech recognition services such as Google Speech-to-Text to analyze the audio data and generate the text "Set an alarm." This text data becomes the input for the next process.

[0602] Step 3:

[0603] The terminal sends the converted text data to the server. The server receives this text data and prepares to parse the user's request. At this point, the server receives the text data as input.

[0604] Step 4:

[0605] The server analyzes the received text data using a generative AI model and generates appropriate operating procedures. Specifically, based on the data the AI ​​model has learned, it devises operating procedures such as "open the app to set an alarm" and "specify the time." The generated procedures become the output data.

[0606] Step 5:

[0607] The server sends the generated operating instructions to the terminal. The terminal receives this information and prepares to inform the user of the operating instructions via a visual interface. The received instructions become the terminal's input.

[0608] Step 6:

[0609] The device displays the generated operating instructions on the screen, providing a visual guide to assist the user. At this time, it highlights the alarm app icon and instructs the user to "Tap here to set an alarm." The output provides information that makes it easy for the user to intuitively understand the operation.

[0610] (Application Example 1)

[0611] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0612] In today's increasingly diverse lifestyles, consumers face a growing need to understand the usage and characteristics of products when selecting items in physical stores. Therefore, there is a need for means to support immediate and intuitive understanding of products.

[0613] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0614] In this invention, the server includes means for receiving requests from an information acquisition device, means for generating operation instructions based on the requests, and means for transmitting and displaying the operation instructions on an information display device. This enables consumers to make purchase decisions while visually understanding how to use the products in a physical store.

[0615] An "information acquisition device" is a device that receives voice and other data from a user and inputs it into the system.

[0616] "Operation instructions" are procedures or guidelines generated to guide users through specific operations based on their requests.

[0617] An "information display device" is a device that displays generated instructions and procedures so that the user can visually confirm them.

[0618] "Return information" refers to data sent back to the system based on the results of operations performed on the information display device.

[0619] An "audio signal" is a signal that has been converted from the words spoken by a user into digital data.

[0620] "Character signals" are text-based data generated from audio signals.

[0621] An "operation management means" is a mechanism for automatically adjusting the settings and operation of a device based on the generated operation instructions.

[0622] In this invention, a server, an information acquisition device (for example, a smartphone or smart glasses), and an information display device cooperate to provide operation instructions to the user.

[0623] The server first uses speech recognition software to convert the audio signal transmitted from the information acquisition device into text data. This process uses tools such as the Google Cloud Speech-to-Text API. Next, based on the text data, a generative AI model is used to generate action instructions. For example, the generation process is performed using the prompt, "Please explain the basic setup procedure and general usage of Bluetooth earphones." Using this prompt, the AI ​​model generates the optimal procedure for the user.

[0624] The generated operation instructions are sent to an information display device. This information display device visually presents the information to the user, for example, through an application developed using React Native. Based on this information, the user can understand and operate the product more intuitively.

[0625] As a concrete example, when a user tries out new Bluetooth earphones in a physical store, they can use this system to voice-input a request through smart glasses, such as "Tell me how to use this product." The server then generates a set of instructions based on this request, and a guide on how to wear and connect the earphones is displayed in the user's field of vision.

[0626] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0627] Step 1:

[0628] The device acquires voice input from the user. The user uses a smartphone or smart glasses to make a voice request, such as "Tell me how to use this product." This voice data is then input.

[0629] Step 2:

[0630] The device uses the Google Cloud Speech-to-Text API to convert the audio data into text data. The audio signal is then converted into text format and ready to be sent to the server.

[0631] Step 3:

[0632] The server receives the converted text data. The prompt uses the format, "Please explain the basic setup procedure and general usage of Bluetooth earphones." This text data is then input into the AI ​​model.

[0633] Step 4:

[0634] The server generates appropriate operational instructions using a generated AI model. Based on the input prompts, the AI ​​model generates an operation guide or procedure that matches the user's request. This generated data is then output.

[0635] Step 5:

[0636] The server sends the generated operation instructions to the terminal. The terminal then prepares to visually display this information using a React Native application.

[0637] Step 6:

[0638] The terminal displays a guide to the user via an information display device. Operating procedures and usage instructions for the product are visually presented on the user's smartphone or smart glasses. This makes it easier for the user to understand how to use the product.

[0639] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0640] This invention is a system that recognizes user voice instructions and emotions and assists in the operation of an information input / output device. The system comprises an information processing device, an emotion engine, voice conversion means, and operation control means. When a user gives a voice instruction, the terminal converts the voice into text data and then sends it to the server. The server analyzes the received text data and creates operation procedures according to the request using a generation AI model. Furthermore, the emotion engine recognizes emotions from the user's voice and provides information to adjust the operation procedures and interface.

[0641] For example, if a user happily commands "Play music," the device analyzes the voice, converts it into text data, and sends it to the server. The server processes this command and generates steps to launch the music app. At the same time, the emotion engine determines that the user is happy and suggests a list of music to play based on that emotion, or switches to a bright and colorful interface.

[0642] Thus, the present invention enables all users, including middle-aged individuals, to operate the information input / output device comfortably and intuitively by adjusting the system's operation while considering the user's emotional state. This system aims to improve operability and user experience by providing personalized services tailored to the individual user's state and circumstances.

[0643] The following describes the processing flow.

[0644] Step 1:

[0645] User: Gives voice commands to their smartphone. These commands naturally reflect both specific actions and the user's emotions. For example, "Play some fun music."

[0646] Step 2:

[0647] Terminal: Sends voice commands from the user to the speech recognition system and converts them into text data. It also sends the voice data to the emotion engine to prepare it for analyzing the user's emotions.

[0648] Step 3:

[0649] Server: Based on text data received from the terminal, it generates appropriate operating procedures using a generative AI model. Simultaneously, the emotion engine recognizes emotions such as joy and sadness from the user's voice.

[0650] Step 4:

[0651] Server: Sends the generated operating instructions, along with recommended settings and interface adjustments based on recognized emotions, to the terminal.

[0652] Step 5:

[0653] Terminal: Displays received operating instructions as a visual guide on the user's screen. Furthermore, it applies settings that suggest interface colors and music lists based on the user's emotions.

[0654] Step 6:

[0655] User: Follow the instructions displayed on the device. If automatic configuration occurs, review the results and make any necessary corrections.

[0656] Step 7:

[0657] Terminal: Records the results of the executed operations and the updated user's emotional state, and sends this data to the server for use in future operations.

[0658] (Example 2)

[0659] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0660] There is a need to translate user voice commands into more intuitive and comfortable operation of information input / output devices. Furthermore, providing personalized interfaces and operating procedures that take into account the user's emotional state is crucial. However, currently, operation solely through voice commands has limitations, and flexible responses that reflect the user's emotions are not sufficiently realized. Therefore, the challenge lies in establishing a system that generates operating procedures that appropriately reflect the user's voice commands and emotions, thereby improving convenience and user experience.

[0661] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0662] In this invention, the server includes means for receiving voice data from a user, means for converting the voice data into text data, means for analyzing the text data to generate an operation procedure, means for analyzing the user's emotional state, and means for adjusting the operation procedure or the interface of an information input / output device according to the emotional state. This makes it possible to quickly convert the user's voice instructions into text, accurately grasp their intent, and provide the optimal operation procedure. Furthermore, it enables personalized interface adjustments based on the emotional state, thereby improving the user experience.

[0663] "Audio data" refers to information recorded as a digital signal of the voice spoken by the user.

[0664] "Text data" refers to digital information obtained by analyzing audio data and converting it into a string of characters.

[0665] "Voice conversion means" refers to technologies and devices for converting voice data into text data.

[0666] An "operational procedure" is a systematically organized set of steps for performing an operation based on the user's instructions.

[0667] An "information input / output device" is a device used for exchanging data with users, and it has both input and output functions.

[0668] "Emotional state" refers to the feelings and emotional responses expressed by the user in the audio data, and includes the analysis and identification of these.

[0669] "Generative AI technology" refers to technologies that utilize artificial intelligence to generate effective results and procedures from data.

[0670] A "prompt message" refers to a phrase that indicates instructions or conditions to be input into a generative AI technology.

[0671] This invention is a system that recognizes the user's voice instructions and emotions to assist in the operation of an information input / output device. Specifically, when the user gives a voice instruction, the terminal acquires the voice and converts it into text data using a voice conversion means. Voice recognition software is used for the voice conversion. For example, a commonly used voice recognition API can be used. This text data is transmitted to a server via a network.

[0672] The server analyzes the received text data and generates a set of action instructions based on the user's commands. It is recommended to use a natural language processing library for the analysis. Furthermore, the generated action instructions are automatically created using a generative AI model. For example, prompts such as "Suggest an appropriate music list based on the user's mood" can be used.

[0673] Furthermore, the server uses emotion analysis tools to recognize the user's emotional state from the audio data. Based on the emotional state, it adjusts the operating procedures and the interfaces of the information input / output devices. If the user shows positive emotions in response to the user's actions, the system can adjust by changing the screen to a brighter color scheme or highlighting recommended playlists.

[0674] This system accurately receives and analyzes user voice commands and utilizes generative AI technology to enable convenient and personalized operation. For example, if a user asks to "play some relaxing music" in the living room, the system can select the most suitable music considering the mood and voice of the user.

[0675] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0676] Step 1:

[0677] The device receives the user's voice commands. In this step, the voice (input) spoken by the user is converted into digital voice data through the device's microphone. Specifically, the voice is converted into text data by voice recognition software (output). This allows the user's intentions to be captured as text information.

[0678] Step 2:

[0679] The terminal sends the converted text data to the server. In this step, the text data (input) is sent to the server over the network. A standard communication protocol is used to transmit the data (output). This prepares the server to analyze the user's instructions.

[0680] Step 3:

[0681] The server analyzes the received text data. Here, the server uses a natural language processing library to analyze the text data (input) and understand the user's intent (output). Specifically, it analyzes the grammatical structure and keywords to identify commands.

[0682] Step 4:

[0683] The server generates the action procedure using a generation AI model. In this step, based on the analyzed user intent, the server inputs prompt statements into the generation AI model to create the appropriate action procedure (output). For example, the instruction "Play music" would include the procedure "Open the music app and play the specified playlist."

[0684] Step 5:

[0685] The server analyzes the user's emotional state from the voice data. The voice analysis tool analyzes the voice data (input) and identifies the user's emotional state (output). For example, it can determine emotions such as "joy" or "calmness" from the tone and pace of the voice.

[0686] Step 6:

[0687] The server generates adjustment information based on the emotional state. In this step, the server generates adjustment information (output) for the operating procedure or interface based on the emotional state. For example, if the emotional state is "joyful," cheerful themes or pleasant music will be suggested.

[0688] Step 7:

[0689] The server sends the processing results to the terminal, and the terminal executes the operating procedure. Finally, the server sends the generated operating procedure and adjustment information (output) to the terminal, and the terminal controls the device accordingly. Specifically, it provides feedback to the user by playing music or changing the UI.

[0690] (Application Example 2)

[0691] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0692] A challenge exists in the quality of the user experience due to a lack of flexibility in user interaction based on voice commands and sentiment analysis. Specifically, the lack of content recommendations that take into account the user's emotional state, and the absence of automatic interface adjustments, result in insufficient individual support.

[0693] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0694] In this invention, the server includes means for receiving requests from an information processing device, means for analyzing voice instructions and adjusting operating procedures and interfaces through emotion analysis, and means for automatically changing settings based on the generated operating procedures and presenting information according to the user's emotional state. This enables the user to perform flexible operations according to their emotions and circumstances.

[0695] An "information processing device" is a device that processes various information based on received data and generates instructions for action or results.

[0696] A "request" is an instruction or request that an information processing device needs to perform a specific operation or action.

[0697] An "operating procedure" refers to a series of steps or processes performed to achieve a specific result or function.

[0698] An "information input / output device" is a device that receives and displays data and information.

[0699] "Voice commands" refer to instructions or commands that a user gives to a device using their voice.

[0700] "Emotion analysis" is the process of estimating and determining a user's emotions and mood based on their tone of voice, manner of speaking, and other factors.

[0701] An "interface" is the point of contact between a user and an information system, and refers to the screen or display method used for operation and information presentation.

[0702] "Configuring settings" refers to a method of adjusting the operation or results of a system or application by changing its operating conditions.

[0703] "Information presentation" refers to displaying or providing relevant information or content to users.

[0704] This invention relates to a system that controls an information terminal by generating optimal operating procedures based on user voice commands. This system analyzes voice commands, recognizes the user's emotions, and provides actions that can respond to individual needs.

[0705] First, the microphone on the device receives the user's voice commands. The received voice data is converted into text data using speech-to-text technology (e.g., Google Cloud Speech-to-Text). The text data is then sent to the server.

[0706] The server analyzes the received text data and generates optimal operating procedures based on a generative AI model (e.g., OpenAI GPT-3). The server also uses an emotion engine (e.g., IBM Watson Tone Analyzer) to recognize emotions from the speech, and adjusts the interface to a brighter theme or changes the recommended content, for example, if the user is happy.

[0707] The generated operating instructions are sent to the terminal's information input / output device, and a specific action is executed. This allows users to enjoy flexible, emotion-responsive system operation while naturally using voice commands.

[0708] For example, if a user requests "play some relaxing music," the system can understand this intention and prepare a calming music list while also changing the interface to a more soothing color scheme. Another example of a prompt to the generative AI model would be: "When a user says they want to relax, suggest a suitable music list. Also, suggest an interface theme that will help the user relax."

[0709] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0710] Step 1:

[0711] The user inputs voice commands using the microphone built into the device. The voice sent to the microphone as voice data is converted into text data using speech-to-text conversion technology. In this process, the voice input is captured, the voice is analyzed by a language model as part of the text conversion process, and the data is output in text format.

[0712] Step 2:

[0713] The converted text data is sent from the terminal to the server. The server receives this text data as input and uses a generative AI model to generate the requested operation procedure. Based on the analyzed data, the AI ​​model receives the prompt text, performs internal calculations, and outputs the specific procedure corresponding to the user's instructions.

[0714] Step 3:

[0715] The server uses an emotion engine to analyze the user's emotions as interpreted from voice commands. It determines emotions from the nuances of the voice data and the text content, and outputs an emotional state such as cheerful or calm. Based on these results, it determines how the interface and the content provided should be adjusted.

[0716] Step 4:

[0717] The generated operating procedures and the results of sentiment analysis are integrated, and the optimized procedures are sent to the terminal. Upon receiving this data, the terminal uses its information input / output device to perform appropriate interface displays and actions. Specifically, the user's requested operations, such as playing music or changing the interface's color scheme, are executed.

[0718] Step 5:

[0719] As a result of the operation, data of the execution result is sent from the terminal to the server. The server records this data and updates a database for analysis and future guidance. This contributes to the continuous improvement of the system and the enhancement of the individual user experience.

[0720] 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 controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0721] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0722] 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 this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0723] Furthermore, the emotion identification model 59, acting 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 a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0724] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0725] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0726] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0727] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0728] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0729] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0730] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0731] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0732] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0733] 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.

[0734] Furthermore, it is not necessary to store the entirety 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 the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0735] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0736] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of 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). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0737] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0738] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0739] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0740] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0741] The following is further disclosed regarding the embodiments described above.

[0742] (Claim 1)

[0743] Means for receiving requests from information processing equipment,

[0744] Means for generating an operating procedure based on the above requirements,

[0745] Means for transmitting and displaying the aforementioned operating procedure to an information input / output device,

[0746] A means for receiving and recording the operation results from an information input / output device,

[0747] A system that includes this.

[0748] (Claim 2)

[0749] The system according to claim 1, further comprising a speech conversion means for converting speech data into text data.

[0750] (Claim 3)

[0751] The system according to claim 1, further comprising operation control means for automatically changing settings based on the generated operation procedure.

[0752] "Example 1"

[0753] (Claim 1)

[0754] Means including a device for receiving sound information,

[0755] Means for converting the aforementioned sound information into text information,

[0756] A means of interpreting textual information and constructing operating procedures using generative artificial intelligence,

[0757] Means for transmitting the aforementioned operating procedure to a display device and providing visual instructions,

[0758] Means for performing operations with a control device based on the aforementioned operating procedure,

[0759] A system that includes this.

[0760] (Claim 2)

[0761] The system according to claim 1, further comprising means for generating operating procedures that conform to the textual information using generating artificial intelligence.

[0762] (Claim 3)

[0763] The system according to claim 1, further comprising means for automatically controlling the operation based on the generated operating procedure.

[0764] "Application Example 1"

[0765] (Claim 1)

[0766] Means for receiving requests from information acquisition devices,

[0767] Means for generating operation instructions based on the aforementioned request,

[0768] Means for transmitting and displaying the aforementioned operation instructions on an information display device,

[0769] A means for receiving and recording return information from an information display device,

[0770] A system that includes this.

[0771] (Claim 2)

[0772] The system according to claim 1, further comprising a voice conversion means for converting an audio signal into a text signal.

[0773] (Claim 3)

[0774] The system according to claim 1, further comprising operation management means that automatically adjusts settings based on generated operation instructions.

[0775] "Example 2 of combining an emotion engine"

[0776] (Claim 1)

[0777] A means of receiving voice data from users,

[0778] A speech conversion means for converting the aforementioned speech data into text data,

[0779] A means for analyzing the aforementioned text data to generate an operating procedure,

[0780] Means for controlling an information input / output device for executing the aforementioned operating procedure,

[0781] A means of analyzing the emotional state of users,

[0782] Means for adjusting the operation procedure or the interface of the information input / output device according to the aforementioned emotional state,

[0783] A system that includes this.

[0784] (Claim 2)

[0785] The system according to claim 1, which generates the operation procedure using generative AI technology.

[0786] (Claim 3)

[0787] The system according to claim 1, which generates prompt statements for AI technology and optimizes the operation procedure.

[0788] "Application example 2 when combining with an emotional engine"

[0789] (Claim 1)

[0790] Means for receiving requests from information processing equipment,

[0791] Means for generating an operating procedure based on the above requirements,

[0792] Means for transmitting and displaying the aforementioned operating procedure to an information input / output device,

[0793] A means for receiving and recording the operation results from an information input / output device,

[0794] A means of analyzing voice commands and adjusting operating procedures and interfaces through emotion analysis,

[0795] A system that includes this.

[0796] (Claim 2)

[0797] The system according to claim 1, further comprising a speech conversion means for converting speech data into text data.

[0798] (Claim 3)

[0799] The system according to claim 1, further comprising operation control means that automatically changes settings based on generated operation procedures and presents information according to the user's emotional state. [Explanation of symbols]

[0800] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. Means for receiving requests from information processing equipment, Means for generating an operating procedure based on the above requirements, Means for transmitting and displaying the aforementioned operating procedure to an information input / output device, A means for receiving and recording the operation results from an information input / output device, A system that includes this.

2. The system according to claim 1, further comprising a speech conversion means for converting speech data into text data.

3. The system according to claim 1, further comprising operation control means for automatically changing settings based on the generated operation procedure.

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