system

Abstract

We provide the system. [Solution] An artificial intelligence unit for analyzing user behavior patterns, A proposal generation unit that selects applications and operations based on the behavioral pattern, An interface unit that displays the selected application and operation to the user, An operation unit that performs the operation selected based on the displayed suggestion, 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, the method 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 in response to the user utterance. 【Prior Art Documents】 【Patent Documents】 【0003】 【Patent Document 1】 Japanese Patent Application Laid-Open No. 2022-180282 【Summary of the Invention】 【Problems to be Solved by the Invention】 【0004】 Modern users of communication devices utilize many applications in daily life, but there are difficulties in usability due to their complex operations. As a result, it takes a lot of time to perform a specific operation, and there is a problem that convenience is impaired. In order to solve this problem, there is a need for a system that efficiently proposes an optimal operation based on the user's behavior pattern and provides a simplified operation flow. 【Means for Solving the Problems】 【0005】 The present invention solves the above problem by providing a system comprising an artificial intelligence unit that analyzes the user's behavior patterns, a suggestion generation unit that selects applications and operations based on the analysis results, an interface unit that displays the selected applications and operations to the user, and an operation unit that executes the operations selected based on the displayed suggestions. This system further includes means for collecting user usage history data and securely transmitting it to a server, and means for dynamically generating operation suggestion text using natural language generation technology, thereby enabling intuitive and efficient operation. 【0006】 An "artificial intelligence unit" refers to a program and device used to analyze user behavior data and identify patterns. 【0007】 The "proposal generation unit" refers to a program and device that creates optimal application and operation suggestions for the user based on the results analyzed by the artificial intelligence unit. 【0008】 An "interface unit" refers to a program and device that provides a user interface for displaying proposals created by a proposal generation unit to the user and for accepting operation selections. 【0009】 An "operation unit" refers to a program and device used to execute operations selected by the user via an interface unit. 【0010】 "Usage history data" refers to information about the history of application usage performed by a user on a communication device. 【0011】 "Natural language generation technology" refers to technology that automatically generates meaningful text in a format that is easy for humans to understand. [Brief explanation of the drawing] 【0012】 [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This 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] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This 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] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This 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] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention] 【0013】 Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings. 【0014】 First, the terms used in the following description will be explained. 【0015】 In the following embodiments, a processor with a reference number (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. 【0016】 In the following embodiments, a RAM (Random Access Memory) with a reference number is a memory in which information is temporarily stored and is used as a work memory by the processor. 【0017】 In the following embodiments, a storage with a reference number 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. 【0018】 In the following embodiments, a communication I / F (Interface) with a reference number is an interface including a communication processor and an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark), etc. 【0019】 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." 【0020】 [First Embodiment] 【0021】 Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment. 【0022】 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. 【0023】 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). 【0024】 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. 【0025】 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. 【0026】 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. 【0027】 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. 【0028】 Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14. 【0029】 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. 【0030】 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. 【0031】 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. 【0032】 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". 【0033】 In embodiments of the present invention, a system is provided in which a terminal, a server, and a user work together to simplify user operation. 【0034】 System-wide operation 【0035】 The device operates as part of this system when launching applications on the user's smartphone. It launches the concierge app when the smartphone is unlocked and collects the user's recent usage history data in the background. The collected data is sent to the server via secure communication. 【0036】 The server receives usage history data sent from the terminal and uses an artificial intelligence unit to analyze the user's behavior patterns. This analysis helps to understand the trends in how users utilize the application and predict the next actions they will take. 【0037】 Based on the analysis results, the server uses a proposal generation unit to create suggestions for optimal applications and operations. These suggestions are expressed in a human-readable format using natural language generation technology and sent to the terminal via an interface unit. 【0038】 The device displays received suggestions on the user interface, allowing the user to easily select an action. The user can quickly perform the desired action by tapping on a suggested option. 【0039】 Specific example 【0040】 For example, suppose a user checks the news every morning. In this case, the device sends data on the user's recent news app usage to a server. The server analyzes the user's tendency to use the news app every morning and generates a suggestion, "Would you like to open the news app and check the latest news?", which is then sent to the device. The device displays this suggestion as a notification, and when the user taps it, the news app automatically launches and displays the latest news articles. 【0041】 Thus, embodiments of the present invention provide a system that learns user behavior and enables smooth and intuitive operation. 【0042】 The following describes the processing flow. 【0043】 Step 1: 【0044】 The device detects that the smartphone has been unlocked and immediately launches the concierge app in the background. This starts collecting usage history data and operation logs for recently used applications. 【0045】 Step 2: 【0046】 The device encrypts the collected usage history data and transmits it to the server via the internet. This process is carried out in accordance with security standards to protect user privacy. 【0047】 Step 3: 【0048】 The server receives data sent from the terminal and passes it to the artificial intelligence unit for analysis. This analysis includes the user's app usage frequency, usage time, and past operation patterns. 【0049】 Step 4: 【0050】 Based on the analysis results, the server predicts the most appropriate next action. Using a suggestion generation unit, it generates text suggesting suitable applications and actions for the user. This text is then made intuitively understandable using natural language generation technology. 【0051】 Step 5: 【0052】 The server sends the generated suggestions to the device. These suggestions include options to open specific apps and shortcuts to directly access frequently used actions. 【0053】 Step 6: 【0054】 The device displays the suggestions in its user interface. To make it easy for users to review the suggestions, they are clearly placed in the notification bar and on the home screen. 【0055】 Step 7: 【0056】 The user selects their desired action from the displayed suggestions. This selection can be made by tapping or using voice commands. 【0057】 Step 8: 【0058】 The device launches the specified application based on user instructions and performs the suggested actions. This allows the user to reach the desired information or action in fewer steps. 【0059】 (Example 1) 【0060】 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." 【0061】 In modern information technology, users routinely utilize numerous applications and operations, but the complexity of these operations and the resulting inefficiencies in daily use are significant challenges. Therefore, there is a need to enable users to efficiently perform necessary operations and provide a smoother user experience. 【0062】 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. 【0063】 In this invention, the server includes means for collecting the user's activity history, means for transmitting the activity history to a central processing unit via a communication path, and an artificial intelligence unit in the central processing unit that analyzes the activity history and predicts the next operation based on the user's behavior pattern. This makes it possible for the user to receive suggestions that allow them to perform normal operations quickly and easily, and to optimize their own actions. 【0064】 "Operation history" refers to historical information about the operations performed and applications used by a user on an information device. 【0065】 A "communication path" refers to the network or protocol used to send and receive information and data. 【0066】 A "central processing unit" is a device that has the computing resources to analyze received data and perform the necessary processing. 【0067】 An "artificial intelligence unit" is a unit that includes a machine learning model for analyzing user behavior patterns and predicting the next action. 【0068】 The "proposal generation means" is a function that proposes the optimal operating method for the user based on the analyzed data. 【0069】 "Natural language generation technology" is a technology that allows computers to generate sentences in a format similar to human language. 【0070】 A "human-machine interface" is a means that allows a user to interact with a machine and select and perform the operations presented to them. 【0071】 This invention provides a system that simplifies and streamlines the operation of information devices when users utilize them. Specifically, it is achieved by having a server analyze user behavior patterns based on usage history data collected by the terminal used by the user, and then providing optimal operation suggestions. 【0072】 Hardware and software configuration 【0073】 A terminal is an information device owned by the user, such as a smartphone or tablet. This terminal has a dedicated application installed to monitor the applications the user typically uses. When this application is running, the user's activity history is collected. 【0074】 The server possesses computing resources to analyze collected data and generate results. This analysis utilizes a generative AI model, a type of machine learning model. The server receives the user's behavioral history and uses an artificial intelligence unit to analyze the user's behavioral patterns. 【0075】 The server also has an interface that utilizes natural language generation technology and generates suggestions for the user based on the analysis results. The suggestion generation unit determines what action the user should take next and sends it to the terminal in an easy-to-understand language. 【0076】 Specific example 【0077】 For example, consider a scenario where a user tends to check the news at the same time every day. In this case, the device sends its news app usage history from the previous day to the server. The server analyzes this history using a generative AI model and generates a suggestion such as, "Would you like to check your favorite news stories this morning?" This suggestion is sent to the device and immediately displayed on the user interface. 【0078】 As an example of a prompt message directed at the user, sending a message in the format of "Generate suggestions for apps that the user frequently uses" to the server will generate appropriate suggestions. This prompt triggers the generation AI model to operate. 【0079】 This system allows users to use information devices efficiently, making daily operations simpler and more comfortable. 【0080】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0081】 Step 1: 【0082】 Collection of usage history data by devices 【0083】 The device collects historical data about the use of each application when the user uses the smartphone. This historical data includes app launch time, operation content, and usage time. The input is the user's app usage status, and the output is usage history data. This data is automatically and continuously recorded by a dedicated application on the device. 【0084】 Step 2: 【0085】 Sending data from the terminal to the server 【0086】 The terminal sends the collected usage history data to the server using a secure communication protocol (e.g., HTTPS). The input is the collected usage history data, and the output is a securely encrypted data packet. This operation ensures that accurate data is provided to the server while preventing unauthorized external access. 【0087】 Step 3: 【0088】 Server-based data analysis and behavioral pattern learning 【0089】 The server analyzes usage history data received from the terminal using a generative AI model equipped with an artificial intelligence unit. The input is usage history data received from the terminal, and the output is the analysis results regarding the user's behavior patterns. Specifically, it predicts the tendency of the next operation to be performed based on the user's usage. 【0090】 Step 4: 【0091】 Proposal generation and representation of results in natural language 【0092】 The server generates optimal operation suggestions using a suggestion generation unit based on the analyzed behavioral patterns. The input is the result of the behavioral pattern analysis, and the output is the wording of the operation suggestion presented to the user. The suggestions, created using natural language generation technology, are sent from the server to the terminal in a format that is easy for humans to understand. 【0093】 Step 5: 【0094】 Display of suggestions via the device and user selection process 【0095】 The terminal displays suggestions sent from the server as notifications and pop-up messages in the user interface. The input is the action suggestions received from the server, and the output is a visually verifiable suggestion display for the user. By selecting a suggestion, the user can quickly execute a specific action. 【0096】 This series of steps allows users to efficiently perform the necessary operations and optimize their use of information devices. 【0097】 (Application Example 1) 【0098】 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." 【0099】 In modern information technology, appropriately analyzing user behavior trends and proposing optimal information processing and operations in real time based on those trends is a challenging task. Furthermore, in electronic transactions and payments, it is crucial to immediately provide users with the most suitable payment methods and transaction terms, but conventional systems have been insufficient in this regard. 【0100】 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. 【0101】 In this invention, the server includes an intelligent processing device for analyzing the user's behavioral tendencies, a suggestion generation means for selecting an information processing device and operation based on the behavioral tendencies, and a display device for displaying the selected information processing device and operation to the user. This makes it possible to suggest appropriate payment methods and present optimal transaction conditions based on the user's usage history. 【0102】 "User behavioral trends" refer to patterns of operations and choices that individual users have made in the past, and are data used to predict specific actions. 【0103】 An "intelligent processing device" is a device implemented on a computer that uses complex algorithms to analyze user behavior. 【0104】 A "proposal generation method" is a means for automatically creating optimal information processing and operation suggestions for users based on analyzed behavioral trends. 【0105】 An "information processing device" refers to a general-purpose computer or system used to process digital information. 【0106】 A "display device" is hardware or software used to visually present information to users. 【0107】 "Execution means" refers to a device or process for actually performing the operation selected by the user. 【0108】 "Usage history" refers to a record of operations and functions used by a user in the past, and is data used to analyze behavioral trends. 【0109】 "Payment method" refers to the means or method chosen when paying for goods or services in a transaction. 【0110】 "Terms of trade" refer to the conditions and rules that govern commercial transactions related to products or services. 【0111】 The system for implementing this invention consists of an intelligent processing unit, a suggestion generation means, and a display device. The server analyzes the user's behavioral tendencies acquired using the intelligent processing unit. Based on these analysis results, the suggestion generation means dynamically proposes information processing and operations suitable for the user, utilizing a generated AI model. 【0112】 The server generates these suggestions in a user-friendly format using natural language processing technology and displays them on the user's device via a display device. The user's device refers to a computer device such as a smartphone, which is responsible for displaying the suggested information processing or operations. 【0113】 As an example, if a user frequently makes electronic payments at a particular store, the server analyzes their payment history and suggests, "Would you like to apply a 5% discount coupon for your next purchase?" If the user accepts the suggestion, the terminal automatically performs the necessary actions based on the suggestion. 【0114】 Examples of prompt messages are as follows: 【0115】 "Based on the user's payment history, generate suggestions for the next best payment method and promotions." 【0116】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0117】 Step 1: 【0118】 The terminal acquires user usage history data. Specifically, it collects data on recent payment activities and payment methods through electronic payment applications. This data is used as important input for suggestion generation. 【0119】 Step 2: 【0120】 The terminal transmits the acquired usage history data to the server via secure communication. The server receives this data and uses it as input for the next analysis step. Encryption technology is used to ensure the security of the data. 【0121】 Step 3: 【0122】 The server uses an intelligent processing unit to analyze behavioral trends based on the received usage history data. By applying an AI algorithm, it identifies the user's payment patterns and preferences and generates analysis results. These results become the input for the next suggestion generation step. 【0123】 Step 4: 【0124】 The server uses a generative AI model to generate optimal payment methods and transaction terms through a proposal generation system. Based on the analysis results, it generates the most useful proposals for the user. These generated proposals are based on carefully structured prompt statements. 【0125】 Step 5: 【0126】 The server uses natural language processing technology to convert the proposed content into a human-readable format and transmits it to the terminal via a display device. During this process, the wording of the proposed content is adjusted to ensure it is appropriate. 【0127】 Step 6: 【0128】 The device displays received suggestions to the user. For example, it visually presents a suggestion such as, "Would you like to apply a 5% discount coupon for your next purchase?" This information is immediately visible on the device's interface. 【0129】 Step 7: 【0130】 The user selects an action based on the received proposal. If the proposal is approved, the device automatically performs the relevant actions and applies the proposed payment method or coupon to the transaction. As a result, the user can easily complete the process. 【0131】 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. 【0132】 In embodiments of the present invention, a system is provided in which a terminal, a server, and a user work together to simplify user operation and to provide customization according to emotional state. 【0133】 System-wide operation 【0134】 The device immediately launches the concierge app in the background once the smartphone is unlocked. The device records the user's recent usage history data and sentiment data collected using the camera and microphone. This data is sent to the server in a privacy-enhancing manner. 【0135】 The server receives usage history data and emotion data transmitted from the terminal and uses an artificial intelligence unit to simultaneously analyze the user's behavior patterns and emotional state. This analysis helps to understand the user's application usage patterns, predict their next actions, and determine appropriate responses based on the user's emotions. 【0136】 Based on the analysis results, the server uses a suggestion generation unit and an emotion engine to create optimal application and operation suggestions. These suggestions are tailored to the user's current emotional state based on emotion data. They are expressed in a human-readable format using natural language generation technology and transmitted to the terminal via the interface unit. 【0137】 The device displays received suggestions on its user interface. Here, the interface design and messages are adjusted according to the user's emotional state, making it easy for the user to choose an action. 【0138】 Specific example 【0139】 For example, if the system detects that a user is feeling stressed, the device sends data from relaxation-related applications to the server. The server analyzes the times and behaviors that the user is most likely to experience stress and generates and sends suggestions such as "Would you like to listen to some relaxing music?" to the device. The device displays these suggestions using a soft color interface, and when the user taps, the relaxation music app launches. 【0140】 Thus, embodiments of the present invention provide a system that learns user behavior and emotions to realize a smooth and comfortable experience. 【0141】 The following describes the processing flow. 【0142】 Step 1: 【0143】 The device launches a concierge app when the smartphone is unlocked. This app runs in the background and collects emotional data using the camera and microphone, along with the user's usage history data. 【0144】 Step 2: 【0145】 The device encrypts the collected usage history data and sentiment data before securely transmitting it to the server via the internet. Appropriate security protocols are applied to this data transmission to protect user privacy. 【0146】 Step 3: 【0147】 The server receives data transmitted from the terminal and uses an artificial intelligence unit to analyze the user's behavior patterns and emotional state. This analysis evaluates factors such as usage frequency, time of day, and trends in emotional changes. 【0148】 Step 4: 【0149】 The server uses an emotion engine to identify the user's current emotional state and generates action suggestions that reflect that state. The suggestion generation unit uses this information to determine which application or action is appropriate. 【0150】 Step 5: 【0151】 The server converts the configured suggestions into a user-friendly format using natural language generation technology and sends them to the terminal via the interface unit. During this process, the suggestions are adjusted to express emotions appropriately. 【0152】 Step 6: 【0153】 The device displays received suggestions in the user interface, adjusting the design and colors as needed to create a visually appealing experience that is considerate of the user's emotions. 【0154】 Step 7: 【0155】 The user selects their desired action from the displayed suggestions and gives instructions via tap or voice command. It is expected that this selection will align with the user's emotional state. 【0156】 Step 8: 【0157】 The device launches the relevant applications and performs the suggested actions according to the user's instructions. This allows the user to enjoy the most suitable services with minimal effort. 【0158】 (Example 2) 【0159】 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 will be referred to as the "terminal." 【0160】 In today's world, users utilize numerous applications and functions on a daily basis, and simplifying their operation is essential for their effective use. Furthermore, while a user's emotional state significantly impacts their application experience, utilizing this in real-time and responding dynamically to individual users is a challenging task. Traditional systems lacked sufficient suggestions for actions that considered emotional states, resulting in users having to burden themselves by selecting the optimal action from numerous options. 【0161】 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. 【0162】 In this invention, the server includes a computing unit for simultaneously analyzing the user's behavior patterns and emotional state, a suggestion generation means for selecting applications and operations based on the analysis and making adjustments according to the user's emotional state, and a means for generating the adjusted suggestions in a human-readable format using natural language generation technology. As a result, optimal operation suggestions based on the user's behavior and emotions are automatically generated, enabling simplified operation and an improved user experience. 【0163】 "User" refers to the ultimate individual or group that operates a system or product and benefits from it. 【0164】 "Behavioral patterns" refer to a series of actions or actions that a user repeatedly exhibits over a specific period of time. 【0165】 "Emotional state" refers to the psychological and emotional state of a user at a specific time. This includes emotions such as happiness, stress, excitement, and relief. 【0166】 A "computation unit" refers to a logical or physical device or software used for analyzing and processing data. 【0167】 "Suggestion generation means" refers to a process or system that creates optimal application and operation suggestions based on the user's behavior patterns and emotional state. 【0168】 "Natural language generation technology" refers to technology that enables computers to generate information and suggestions in a natural language format that is easy for humans to understand. 【0169】 This invention is a system that analyzes a user's behavioral patterns and emotional state and proposes the optimal application and operation based on that analysis. The hardware consists of a smart device (e.g., a smartphone) used by the user and a server built on the cloud. The software includes a concierge app on the device and an artificial intelligence unit on the server side. 【0170】 Terminal operation 【0171】 The device automatically launches a concierge app in the background when the user unlocks their smart device. This app records the user's recent usage history data and sentiment data collected using the device's camera and microphone. The collected data is encrypted for privacy protection and sent to a server. 【0172】 Server analysis 【0173】 The server receives data transmitted from the terminal and performs analysis using an artificial intelligence unit. Specifically, it recognizes patterns based on the user's behavioral history and simultaneously analyzes emotional data to identify the current emotional state. Based on the analysis results, the suggestion generation system selects the most suitable application for the user and uses natural language generation technology to create suggestions in a format that is easy for humans to understand. 【0174】 Display on the interface 【0175】 The device displays suggestions sent from the server on the user interface. This interface is customized to the user's emotional state and designed for ease of use. For example, if the user is feeling stressed, the device will display a suggestion such as, "Would you like to listen to some relaxing music?" The interface is decorated with soft colors, and the options are displayed clearly. 【0176】 Examples of prompt statements as concrete examples 【0177】 An example of a prompt is, "What app should I use to relax?" This sentence is a basic format for when a system uses a generated AI model to suggest applications suitable for relaxation to a user. 【0178】 This design allows users to intuitively operate the interface and utilize the device more effectively. 【0179】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0180】 Step 1: 【0181】 Device data collection 【0182】 The device launches a concierge app when the smart device is unlocked. As input, the user's recent usage history data and sentiment data from the camera and microphone are collected. This data is encrypted to protect the user's privacy. As output, encrypted usage history data and sentiment data are generated and sent to the server. 【0183】 Step 2: 【0184】 Server data reception and analysis 【0185】 The server receives encrypted data sent from the terminal and decodes it. It receives usage history data and emotion data as input. The server analyzes this data using an artificial intelligence unit to identify the user's behavior patterns and emotional state. Data processing includes time-series analysis and emotion recognition. The output generates the analysis results of behavior patterns and emotional state. 【0186】 Step 3: 【0187】 Proposal generation 【0188】 The server uses a suggestion generation mechanism based on the analysis results to select the optimal application and operation according to the user's emotional state. The inputs used are the analysis results of behavioral patterns and emotional states. As a data calculation, optimized suggestions are generated in natural language format based on a generative AI model. These generated suggestions are then adjusted to be easily understood by the user. The output is a suggestion expressed in natural language. 【0189】 Step 4: 【0190】 Submitting and displaying proposals 【0191】 The server sends the generated suggestions to the terminal. The suggestions, generated in natural language, are used as input. The terminal displays these suggestions on its user interface. Here, the interface design is adjusted based on the suggestions, and colors and layouts appropriate to the user's emotional state are applied. The output displays the suggestions in an emotionally sensitive interface. 【0192】 Step 5: 【0193】 User selection and execution 【0194】 The user reviews the suggestions displayed on their device and performs actions such as tapping if they are interested. The input consists of the displayed suggestions and the user's actions. The data calculation involves executing the selected action and launching the application. The output is the launch of the selected application on the user's device and the execution of the action. 【0195】 (Application Example 2) 【0196】 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". 【0197】 Conventional home appliances and interactions with them have made it difficult to customize them while considering the user's emotional state. As a result, there has been a problem in that user comfort and convenience cannot be sufficiently improved. The present invention aims to solve these problems and provide a system that offers suggestions and operations for home appliances that are appropriate to the user's emotional state. 【0198】 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. 【0199】 In this invention, the server includes means for an intelligent unit for analyzing the user's emotional state, means for suggestion generation for selecting a home appliance and task based on the emotional state, and means for information presentation for displaying the selected home appliance and task to the user. This makes it possible to select an appropriate home appliance and perform a task according to the user's emotions. 【0200】 "User" refers to a person who operates the system. 【0201】 "Emotional state" refers to information that indicates the user's psychological and emotional state. 【0202】 An "intelligence unit" is a component equipped with knowledge and algorithms for analyzing the emotional state of a user. 【0203】 A "proposal generation means" is a component that selects and proposes household devices and tasks based on the user's emotional state. 【0204】 "Information presentation means" refers to components used to visually or audibly present selected household devices or tasks to the user. 【0205】 "Household appliances" are electrical and mechanical devices designed to improve user convenience in daily life. 【0206】 "Work" refers to the actions or processes that a household device or system can perform. 【0207】 To implement this invention, a system is needed that analyzes the user's emotional state and suggests appropriate household devices and tasks. The entire system consists of a robot, a server, and a user interface. 【0208】 The robot acquires user emotion data using sensors such as cameras and microphones, and transmits that data to a server via Wi-Fi. The data is stored and managed on the server using Google Cloud Platform or similar cloud services. 【0209】 The server analyzes received emotion data using the Python programming language and machine learning libraries such as TENSORFLOW®. Based on the emotion analysis results, it operates a suggestion generation system to devise suggestions for home devices and tasks. The suggestions are generated in a human-readable format using natural language generation technology. For example, if a user is feeling stressed, it may suggest, "Would you like to listen to some relaxing music?" 【0210】 Furthermore, suggestions generated by the server are communicated to the user through the robot's interface. Information can be presented visually or audibly using a voice assistant or touchscreen. For example, the robot might interact with the user by saying, "Shall I brew you a relaxing tea to help you recover from today's fatigue?" 【0211】 By using a generative AI model on the server, suggestions can be dynamically generated to enhance user experience. An example of a prompt would be, "Based on the user's emotional state, please suggest the most suitable entertainment." 【0212】 This configuration makes it possible to provide more personalized in-home support that responds to the user's emotions. 【0213】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0214】 Step 1: 【0215】 The user begins using their device. 【0216】 The input consists of video and audio data from the device's sensors. The user operates the smart device, and emotional data is collected through the device's built-in camera and microphone. Specifically, data is acquired for analyzing facial expressions and voice tone. The output is the acquisition of this emotional data. 【0217】 Step 2: 【0218】 The device preprocesses the collected emotion data. 【0219】 The input is the sentiment data obtained in Step 1. The terminal filters the data for noise and standardizes it as needed. This data processing removes unnecessary data and shapes it into a format suitable for analysis. The output is the shaped sentiment data. 【0220】 Step 3: 【0221】 The device sends pre-processed emotion data to the server. 【0222】 The input is the sentiment data formatted in step 2. The device encrypts this data and securely sends it to the cloud server. The output is the sentiment data sent to the server. 【0223】 Step 4: 【0224】 The server analyzes the received emotion data. 【0225】 The input is emotion data sent from the terminal. The server uses Python and TensorFlow to analyze the emotion data and perform data calculations to identify the user's emotional state. The output is the analysis result regarding the user's emotional state. 【0226】 Step 5: 【0227】 The server generates suggestions based on the analysis results. 【0228】 The input is the analysis results obtained in step 4. The generative AI model, running on the server, generates suggestions for home appliances and tasks best suited to the user's current emotional state based on the analysis results. It dynamically generates suggestions using prompts. The output is the generated suggestions. 【0229】 Step 6: 【0230】 The server sends the generated suggestions to the terminal. 【0231】 The input is the proposal generated in step 5. The proposal is expressed clearly using natural language generation technology and transmitted to the terminal. The output is the proposal sent to the terminal. 【0232】 Step 7: 【0233】 The device notifies the user of the proposed content. 【0234】 The input is the suggestion received in step 6. The terminal presents the suggestion to the user visually or audibly using a voice assistant or touchscreen. This allows the user to confirm the operation or task of the suggested home appliance. The output is the suggestion presented to the user. 【0235】 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. 【0236】 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. 【0237】 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. 【0238】 [Second Embodiment] 【0239】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0240】 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. 【0241】 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). 【0242】 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. 【0243】 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. 【0244】 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). 【0245】 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. 【0246】 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. 【0247】 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. 【0248】 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. 【0249】 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. 【0250】 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". 【0251】 In embodiments of the present invention, a system is provided in which a terminal, a server, and a user work together to simplify user operation. 【0252】 System-wide operation 【0253】 The device operates as part of this system when launching applications on the user's smartphone. It launches the concierge app when the smartphone is unlocked and collects the user's recent usage history data in the background. The collected data is sent to the server via secure communication. 【0254】 The server receives usage history data sent from the terminal and uses an artificial intelligence unit to analyze the user's behavior patterns. This analysis helps to understand the trends in how users utilize the application and predict the next actions they will take. 【0255】 Based on the analysis results, the server uses a proposal generation unit to create suggestions for optimal applications and operations. These suggestions are expressed in a human-readable format using natural language generation technology and sent to the terminal via an interface unit. 【0256】 The device displays received suggestions on the user interface, allowing the user to easily select an action. The user can quickly perform the desired action by tapping on a suggested option. 【0257】 Specific example 【0258】 For example, suppose a user checks the news every morning. In this case, the device sends data on the user's recent news app usage to a server. The server analyzes the user's tendency to use the news app every morning and generates a suggestion, "Would you like to open the news app and check the latest news?", which is then sent to the device. The device displays this suggestion as a notification, and when the user taps it, the news app automatically launches and displays the latest news articles. 【0259】 Thus, embodiments of the present invention provide a system that learns user behavior and enables smooth and intuitive operation. 【0260】 The following describes the processing flow. 【0261】 Step 1: 【0262】 The device detects that the smartphone has been unlocked and immediately launches the concierge app in the background. This starts collecting usage history data and operation logs for recently used applications. 【0263】 Step 2: 【0264】 The device encrypts the collected usage history data and transmits it to the server via the internet. This process is carried out in accordance with security standards to protect user privacy. 【0265】 Step 3: 【0266】 The server receives data sent from the terminal and passes it to the artificial intelligence unit for analysis. This analysis includes the user's app usage frequency, usage time, and past operation patterns. 【0267】 Step 4: 【0268】 Based on the analysis results, the server predicts the most appropriate next action. Using a suggestion generation unit, it generates text suggesting suitable applications and actions for the user. This text is then made intuitively understandable using natural language generation technology. 【0269】 Step 5: 【0270】 The server sends the generated suggestions to the device. These suggestions include options to open specific apps and shortcuts to directly access frequently used actions. 【0271】 Step 6: 【0272】 The device displays the suggestions in its user interface. To make it easy for users to review the suggestions, they are clearly placed in the notification bar and on the home screen. 【0273】 Step 7: 【0274】 The user selects their desired action from the displayed suggestions. This selection can be made by tapping or using voice commands. 【0275】 Step 8: 【0276】 The device launches the specified application based on user instructions and performs the suggested actions. This allows the user to reach the desired information or action in fewer steps. 【0277】 (Example 1) 【0278】 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." 【0279】 In modern information technology, users routinely utilize numerous applications and operations, but the complexity of these operations and the resulting inefficiencies in daily use are significant challenges. Therefore, there is a need to enable users to efficiently perform necessary operations and provide a smoother user experience. 【0280】 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. 【0281】 In this invention, the server includes means for collecting the user's activity history, means for transmitting the activity history to a central processing unit via a communication path, and an artificial intelligence unit in the central processing unit that analyzes the activity history and predicts the next operation based on the user's behavior pattern. This makes it possible for the user to receive suggestions that allow them to perform normal operations quickly and easily, and to optimize their own actions. 【0282】 "Operation history" refers to historical information about the operations performed and applications used by a user on an information device. 【0283】 A "communication path" is a path of a network or protocol used to send and receive information and data. 【0284】 A "central processing unit" is a device that analyzes received data and has computing resources for performing necessary processing. 【0285】 An "artificial intelligence unit" is a unit that includes a machine learning model for analyzing a user's behavior pattern and predicting the next operation. 【0286】 "Proposal generation means" is a function that proposes an optimal operation means for a user based on the analyzed data. 【0287】 "Natural language generation technology" is a technology that enables a computer to generate sentences in a form similar to human language. 【0288】 A "human-machine interface" is a means for enabling a user to interact with a machine and select and execute a presented operation. 【0289】 This invention provides a system for simplifying and efficiently performing operations when a user uses an information device. Specifically, it is realized by analyzing a behavior pattern by a server based on usage history data collected by a terminal used by the user and making an optimal operation proposal. 【0290】 Hardware and software configuration 【0291】 A terminal is an information device owned by a user, such as a smartphone or a tablet. A dedicated application for monitoring applications commonly used by the user is installed on this terminal. By operating this application, the operation history of the user is collected. 【0292】 The server possesses computing resources to analyze collected data and generate results. This analysis utilizes a generative AI model, a type of machine learning model. The server receives the user's behavioral history and uses an artificial intelligence unit to analyze the user's behavioral patterns. 【0293】 The server also has an interface that utilizes natural language generation technology and generates suggestions for the user based on the analysis results. The suggestion generation unit determines what action the user should take next and sends it to the terminal in an easy-to-understand language. 【0294】 Specific example 【0295】 For example, consider a scenario where a user tends to check the news at the same time every day. In this case, the device sends its news app usage history from the previous day to the server. The server analyzes this history using a generative AI model and generates a suggestion such as, "Would you like to check your favorite news stories this morning?" This suggestion is sent to the device and immediately displayed on the user interface. 【0296】 As an example of a prompt message directed at the user, sending a message in the format of "Generate suggestions for apps that the user frequently uses" to the server will generate appropriate suggestions. This prompt triggers the generation AI model to operate. 【0297】 This system allows users to use information devices efficiently, making daily operations simpler and more comfortable. 【0298】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0299】 Step 1: 【0300】 Collection of usage history data by devices 【0301】 When the user uses the smartphone, the terminal collects historical data on the use of each application. This historical data includes the startup time of the application, operation details, usage time, etc. The input is the user's application usage situation, and the output is the usage history data. This data is automatically and continuously recorded by a dedicated application in the terminal. 【0302】 Step 2: 【0303】 Data transmission from the terminal to the server 【0304】 The terminal transmits the collected usage history data to the server using a secure communication protocol (e.g., HTTPS). The input is the collected usage history data, and the output is securely encrypted data packets. This operation provides accurate data to the server while preventing unauthorized access from the outside. 【0305】 Step 3: 【0306】 Data analysis by the server and learning of behavior patterns 【0307】 The server analyzes the usage history data received from the terminal using a generative AI model equipped with an artificial intelligence unit. The input is the usage history data received from the terminal, and the output is the analysis result regarding the user's behavior pattern. Specifically, it predicts the tendency of the operation to be executed next based on the user's usage situation. 【0308】 Step 4: 【0309】 Proposal generation and expression of results in natural language 【0310】 Based on the analyzed behavior pattern, the server creates an optimal operation proposal by the proposal generation unit. The input is the analysis result of the behavior pattern, and the output is the text of the operation proposal presented to the user. The proposal created using natural language generation technology is transmitted from the server to the terminal in a form that is easy for humans to understand. <000,0978> 【0311】 Step 5: 【0312】 Display of suggestions via the device and user selection process 【0313】 The terminal displays suggestions sent from the server as notifications and pop-up messages in the user interface. The input is the action suggestions received from the server, and the output is a visually verifiable suggestion display for the user. By selecting a suggestion, the user can quickly execute a specific action. 【0314】 This series of steps allows users to efficiently perform the necessary operations and optimize their use of information devices. 【0315】 (Application Example 1) 【0316】 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." 【0317】 In modern information technology, appropriately analyzing user behavior trends and proposing optimal information processing and operations in real time based on those trends is a challenging task. Furthermore, in electronic transactions and payments, it is crucial to immediately provide users with the most suitable payment methods and transaction terms, but conventional systems have been insufficient in this regard. 【0318】 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. 【0319】 In this invention, the server includes an intelligent processing device for analyzing the user's behavioral tendencies, a suggestion generation means for selecting an information processing device and operation based on the behavioral tendencies, and a display device for displaying the selected information processing device and operation to the user. This makes it possible to suggest appropriate payment methods and present optimal transaction conditions based on the user's usage history. 【0320】 "User behavioral trends" refer to patterns of operations and choices that individual users have made in the past, and are data used to predict specific actions. 【0321】 An "intelligent processing device" is a device implemented on a computer that uses complex algorithms to analyze user behavior. 【0322】 A "proposal generation method" is a means for automatically creating optimal information processing and operation suggestions for users based on analyzed behavioral trends. 【0323】 An "information processing device" refers to a general-purpose computer or system used to process digital information. 【0324】 A "display device" is hardware or software used to visually present information to users. 【0325】 "Execution means" refers to a device or process for actually performing the operation selected by the user. 【0326】 "Usage history" refers to a record of operations and functions used by a user in the past, and is data used to analyze behavioral trends. 【0327】 "Payment method" refers to the means or method chosen when paying for goods or services in a transaction. 【0328】 "Terms of trade" refer to the conditions and rules that govern commercial transactions related to products or services. 【0329】 The system for implementing this invention consists of an intelligent processing unit, a suggestion generation means, and a display device. The server analyzes the user's behavioral tendencies acquired using the intelligent processing unit. Based on these analysis results, the suggestion generation means dynamically proposes information processing and operations suitable for the user, utilizing a generated AI model. 【0330】 The server generates these suggestions in a user-friendly format using natural language processing technology and displays them on the user's device via a display device. The user's device refers to a computer device such as a smartphone, which is responsible for displaying the suggested information processing or operations. 【0331】 As an example, if a user frequently makes electronic payments at a particular store, the server analyzes their payment history and suggests, "Would you like to apply a 5% discount coupon for your next purchase?" If the user accepts the suggestion, the terminal automatically performs the necessary actions based on the suggestion. 【0332】 Examples of prompt messages are as follows: 【0333】 "Based on the user's payment history, generate suggestions for the next best payment method and promotions." 【0334】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0335】 Step 1: 【0336】 The terminal acquires user usage history data. Specifically, it collects data on recent payment activities and payment methods through electronic payment applications. This data is used as important input for suggestion generation. 【0337】 Step 2: 【0338】 The terminal transmits the acquired usage history data to the server via secure communication. The server receives this data and uses it as input for the next analysis step. Encryption technology is used to ensure the security of the data. 【0339】 Step 3: 【0340】 The server uses an intelligent processing unit to analyze behavioral trends based on the received usage history data. By applying an AI algorithm, it identifies the user's payment patterns and preferences and generates analysis results. These results become the input for the next suggestion generation step. 【0341】 Step 4: 【0342】 The server uses a generative AI model to generate optimal payment methods and transaction terms through a proposal generation system. Based on the analysis results, it generates the most useful proposals for the user. These generated proposals are based on carefully structured prompt statements. 【0343】 Step 5: 【0344】 The server uses natural language processing technology to convert the proposed content into a human-readable format and transmits it to the terminal via a display device. During this process, the wording of the proposed content is adjusted to ensure it is appropriate. 【0345】 Step 6: 【0346】 The device displays received suggestions to the user. For example, it visually presents a suggestion such as, "Would you like to apply a 5% discount coupon for your next purchase?" This information is immediately visible on the device's interface. 【0347】 Step 7: 【0348】 The user selects an action based on the received proposal. If the proposal is approved, the device automatically performs the relevant actions and applies the proposed payment method or coupon to the transaction. As a result, the user can easily complete the process. 【0349】 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. 【0350】 In embodiments of the present invention, a system is provided in which a terminal, a server, and a user work together to simplify user operation and to provide customization according to emotional state. 【0351】 System-wide operation 【0352】 The device immediately launches the concierge app in the background once the smartphone is unlocked. The device records the user's recent usage history data and sentiment data collected using the camera and microphone. This data is sent to the server in a privacy-enhancing manner. 【0353】 The server receives usage history data and emotion data transmitted from the terminal and uses an artificial intelligence unit to simultaneously analyze the user's behavior patterns and emotional state. This analysis helps to understand the user's application usage patterns, predict their next actions, and determine appropriate responses based on the user's emotions. 【0354】 Based on the analysis results, the server uses a suggestion generation unit and an emotion engine to create optimal application and operation suggestions. These suggestions are tailored to the user's current emotional state based on emotion data. They are expressed in a human-readable format using natural language generation technology and transmitted to the terminal via the interface unit. 【0355】 The device displays received suggestions on its user interface. Here, the interface design and messages are adjusted according to the user's emotional state, making it easy for the user to choose an action. 【0356】 Specific example 【0357】 For example, if the system detects that a user is feeling stressed, the device sends data from relaxation-related applications to the server. The server analyzes the times and behaviors that the user is most likely to experience stress and generates and sends suggestions such as "Would you like to listen to some relaxing music?" to the device. The device displays these suggestions using a soft color interface, and when the user taps, the relaxation music app launches. 【0358】 Thus, embodiments of the present invention provide a system that learns user behavior and emotions to realize a smooth and comfortable experience. 【0359】 The following describes the processing flow. 【0360】 Step 1: 【0361】 The device launches a concierge app when the smartphone is unlocked. This app runs in the background and collects emotional data using the camera and microphone, along with the user's usage history data. 【0362】 Step 2: 【0363】 The device encrypts the collected usage history data and sentiment data before securely transmitting it to the server via the internet. Appropriate security protocols are applied to this data transmission to protect user privacy. 【0364】 Step 3: 【0365】 The server receives data transmitted from the terminal and uses an artificial intelligence unit to analyze the user's behavior patterns and emotional state. This analysis evaluates factors such as usage frequency, time of day, and trends in emotional changes. 【0366】 Step 4: 【0367】 The server uses an emotion engine to identify the user's current emotional state and generates action suggestions that reflect that state. The suggestion generation unit uses this information to determine which application or action is appropriate. 【0368】 Step 5: 【0369】 The server converts the configured suggestions into a user-friendly format using natural language generation technology and sends them to the terminal via the interface unit. During this process, the suggestions are adjusted to express emotions appropriately. 【0370】 Step 6: 【0371】 The device displays received suggestions in the user interface, adjusting the design and colors as needed to create a visually appealing experience that is considerate of the user's emotions. 【0372】 Step 7: 【0373】 The user selects their desired action from the displayed suggestions and gives instructions via tap or voice command. It is expected that this selection will align with the user's emotional state. 【0374】 Step 8: 【0375】 The device launches the relevant applications and performs the suggested actions according to the user's instructions. This allows the user to enjoy the most suitable services with minimal effort. 【0376】 (Example 2) 【0377】 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 glasses 214 will be referred to as the "terminal". 【0378】 In today's world, users utilize numerous applications and functions on a daily basis, and simplifying their operation is essential for their effective use. Furthermore, while a user's emotional state significantly impacts their application experience, utilizing this in real-time and responding dynamically to individual users is a challenging task. Traditional systems lacked sufficient suggestions for actions that considered emotional states, resulting in users having to burden themselves by selecting the optimal action from numerous options. 【0379】 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. 【0380】 In this invention, the server includes a computing unit for simultaneously analyzing the user's behavior patterns and emotional state, a suggestion generation means for selecting applications and operations based on the analysis and making adjustments according to the user's emotional state, and a means for generating the adjusted suggestions in a human-readable format using natural language generation technology. As a result, optimal operation suggestions based on the user's behavior and emotions are automatically generated, enabling simplified operation and an improved user experience. 【0381】 "User" refers to the ultimate individual or group that operates a system or product and benefits from it. 【0382】 "Behavioral patterns" refer to a series of actions or actions that a user repeatedly exhibits over a specific period of time. 【0383】 "Emotional state" refers to the psychological and emotional state of a user at a specific time. This includes emotions such as happiness, stress, excitement, and relief. 【0384】 A "computation unit" refers to a logical or physical device or software used for analyzing and processing data. 【0385】 "Suggestion generation means" refers to a process or system that creates optimal application and operation suggestions based on the user's behavior patterns and emotional state. 【0386】 "Natural language generation technology" refers to technology that enables computers to generate information and suggestions in a natural language format that is easy for humans to understand. 【0387】 This invention is a system that analyzes a user's behavioral patterns and emotional state and proposes the optimal application and operation based on that analysis. The hardware consists of a smart device (e.g., a smartphone) used by the user and a server built on the cloud. The software includes a concierge app on the device and an artificial intelligence unit on the server side. 【0388】 Terminal operation 【0389】 The device automatically launches a concierge app in the background when the user unlocks their smart device. This app records the user's recent usage history data and sentiment data collected using the device's camera and microphone. The collected data is encrypted for privacy protection and sent to a server. 【0390】 Server analysis 【0391】 The server receives data transmitted from the terminal and performs analysis using an artificial intelligence unit. Specifically, it recognizes patterns based on the user's behavioral history and simultaneously analyzes emotional data to identify the current emotional state. Based on the analysis results, the suggestion generation system selects the most suitable application for the user and uses natural language generation technology to create suggestions in a format that is easy for humans to understand. 【0392】 Display on the interface 【0393】 The device displays suggestions sent from the server on the user interface. This interface is customized to the user's emotional state and designed for ease of use. For example, if the user is feeling stressed, the device will display a suggestion such as, "Would you like to listen to some relaxing music?" The interface is decorated with soft colors, and the options are displayed clearly. 【0394】 Examples of prompt statements as concrete examples 【0395】 An example of a prompt is, "What app should I use to relax?" This sentence is a basic format for when a system uses a generated AI model to suggest applications suitable for relaxation to a user. 【0396】 This design allows users to intuitively operate the interface and utilize the device more effectively. 【0397】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0398】 Step 1: 【0399】 Device data collection 【0400】 The device launches a concierge app when the smart device is unlocked. As input, the user's recent usage history data and sentiment data from the camera and microphone are collected. This data is encrypted to protect the user's privacy. As output, encrypted usage history data and sentiment data are generated and sent to the server. 【0401】 Step 2: 【0402】 Server data reception and analysis 【0403】 The server receives encrypted data sent from the terminal and decodes it. It receives usage history data and emotion data as input. The server analyzes this data using an artificial intelligence unit to identify the user's behavior patterns and emotional state. Data processing includes time-series analysis and emotion recognition. The output generates the analysis results of behavior patterns and emotional state. 【0404】 Step 3: 【0405】 Proposal generation 【0406】 The server uses a suggestion generation mechanism based on the analysis results to select the optimal application and operation according to the user's emotional state. The inputs used are the analysis results of behavioral patterns and emotional states. As a data calculation, optimized suggestions are generated in natural language format based on a generative AI model. These generated suggestions are then adjusted to be easily understood by the user. The output is a suggestion expressed in natural language. 【0407】 Step 4: 【0408】 Submitting and displaying proposals 【0409】 The server sends the generated suggestions to the terminal. The suggestions, generated in natural language, are used as input. The terminal displays these suggestions on its user interface. Here, the interface design is adjusted based on the suggestions, and colors and layouts appropriate to the user's emotional state are applied. The output displays the suggestions in an emotionally sensitive interface. 【0410】 Step 5: 【0411】 User selection and execution 【0412】 The user reviews the suggestions displayed on their device and performs actions such as tapping if they are interested. The input consists of the displayed suggestions and the user's actions. The data calculation involves executing the selected action and launching the application. The output is the launch of the selected application on the user's device and the execution of the action. 【0413】 (Application Example 2) 【0414】 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." 【0415】 Conventional home appliances and interactions with them have made it difficult to customize them while considering the user's emotional state. As a result, there has been a problem in that user comfort and convenience cannot be sufficiently improved. The present invention aims to solve these problems and provide a system that offers suggestions and operations for home appliances that are appropriate to the user's emotional state. 【0416】 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. 【0417】 In this invention, the server includes means for an intelligent unit for analyzing the user's emotional state, means for suggestion generation for selecting a home appliance and task based on the emotional state, and means for information presentation for displaying the selected home appliance and task to the user. This makes it possible to select an appropriate home appliance and perform a task according to the user's emotions. 【0418】 "User" refers to a person who operates the system. 【0419】 "Emotional state" refers to information that indicates the user's psychological and emotional state. 【0420】 An "intelligence unit" is a component equipped with knowledge and algorithms for analyzing the emotional state of a user. 【0421】 A "proposal generation means" is a component that selects and proposes household devices and tasks based on the user's emotional state. 【0422】 "Information presentation means" refers to components used to visually or audibly present selected household devices or tasks to the user. 【0423】 "Household appliances" are electrical and mechanical devices designed to improve user convenience in daily life. 【0424】 "Work" refers to the actions or processes that a household device or system can perform. 【0425】 To implement this invention, a system is needed that analyzes the user's emotional state and suggests appropriate household devices and tasks. The entire system consists of a robot, a server, and a user interface. 【0426】 The robot acquires user emotion data using sensors such as cameras and microphones, and transmits this data to a server via Wi-Fi. The data is stored and managed on the server using Google Cloud Platform or similar cloud services. 【0427】 The server analyzes received sentiment data using the Python programming language and machine learning libraries such as TensorFlow. Based on the sentiment analysis results, it operates a suggestion generation system to devise suggestions for home devices and tasks. The suggestions are generated in a human-readable format using natural language generation technology. For example, if a user is feeling stressed, it may suggest, "Would you like to listen to some relaxing music?" 【0428】 Furthermore, suggestions generated by the server are communicated to the user through the robot's interface. Information can be presented visually or audibly using a voice assistant or touchscreen. For example, the robot might interact with the user by saying, "Shall I brew you a relaxing tea to help you recover from today's fatigue?" 【0429】 By using a generative AI model on the server, suggestions can be dynamically generated to enhance user experience. An example of a prompt would be, "Based on the user's emotional state, please suggest the most suitable entertainment." 【0430】 This configuration makes it possible to provide more personalized in-home support that responds to the user's emotions. 【0431】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0432】 Step 1: 【0433】 The user begins using their device. 【0434】 The input consists of video and audio data from the device's sensors. The user operates the smart device, and emotional data is collected through the device's built-in camera and microphone. Specifically, data is acquired for analyzing facial expressions and voice tone. The output is the acquisition of this emotional data. 【0435】 Step 2: 【0436】 The device preprocesses the collected emotion data. 【0437】 The input is the sentiment data obtained in Step 1. The terminal filters the data for noise and standardizes it as needed. This data processing removes unnecessary data and shapes it into a format suitable for analysis. The output is the shaped sentiment data. 【0438】 Step 3: 【0439】 The device sends pre-processed emotion data to the server. 【0440】 The input is the sentiment data formatted in step 2. The device encrypts this data and securely sends it to the cloud server. The output is the sentiment data sent to the server. 【0441】 Step 4: 【0442】 The server analyzes the received emotion data. 【0443】 The input is emotion data sent from the terminal. The server uses Python and TensorFlow to analyze the emotion data and perform data calculations to identify the user's emotional state. The output is the analysis result regarding the user's emotional state. 【0444】 Step 5: 【0445】 The server generates suggestions based on the analysis results. 【0446】 The input is the analysis results obtained in step 4. The generative AI model, running on the server, generates suggestions for home appliances and tasks best suited to the user's current emotional state based on the analysis results. It dynamically generates suggestions using prompts. The output is the generated suggestions. 【0447】 Step 6: 【0448】 The server sends the generated suggestions to the terminal. 【0449】 The input is the proposal generated in step 5. The proposal is expressed clearly using natural language generation technology and transmitted to the terminal. The output is the proposal sent to the terminal. 【0450】 Step 7: 【0451】 The device notifies the user of the proposed content. 【0452】 The input is the suggestion received in step 6. The terminal presents the suggestion to the user visually or audibly using a voice assistant or touchscreen. This allows the user to confirm the operation or task of the suggested home appliance. The output is the suggestion presented to the user. 【0453】 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. 【0454】 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. 【0455】 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. 【0456】 [Third Embodiment] 【0457】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0458】 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. 【0459】 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). 【0460】 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. 【0461】 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. 【0462】 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). 【0463】 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. 【0464】 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. 【0465】 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. 【0466】 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. 【0467】 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. 【0468】 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". 【0469】 In embodiments of the present invention, a system is provided in which a terminal, a server, and a user work together to simplify user operation. 【0470】 System-wide operation 【0471】 The device operates as part of this system when launching applications on the user's smartphone. It launches the concierge app when the smartphone is unlocked and collects the user's recent usage history data in the background. The collected data is sent to the server via secure communication. 【0472】 The server receives usage history data sent from the terminal and uses an artificial intelligence unit to analyze the user's behavior patterns. This analysis helps to understand the trends in how users utilize the application and predict the next actions they will take. 【0473】 Based on the analysis results, the server uses a proposal generation unit to create suggestions for optimal applications and operations. These suggestions are expressed in a human-readable format using natural language generation technology and sent to the terminal via an interface unit. 【0474】 The device displays received suggestions on the user interface, allowing the user to easily select an action. The user can quickly perform the desired action by tapping on a suggested option. 【0475】 Specific example 【0476】 For example, suppose a user checks the news every morning. In this case, the device sends data on the user's recent news app usage to a server. The server analyzes the user's tendency to use the news app every morning and generates a suggestion, "Would you like to open the news app and check the latest news?", which is then sent to the device. The device displays this suggestion as a notification, and when the user taps it, the news app automatically launches and displays the latest news articles. 【0477】 Thus, embodiments of the present invention provide a system that learns user behavior and enables smooth and intuitive operation. 【0478】 The following describes the processing flow. 【0479】 Step 1: 【0480】 The device detects that the smartphone has been unlocked and immediately launches the concierge app in the background. This starts collecting usage history data and operation logs for recently used applications. 【0481】 Step 2: 【0482】 The device encrypts the collected usage history data and transmits it to the server via the internet. This process is carried out in accordance with security standards to protect user privacy. 【0483】 Step 3: 【0484】 The server receives data sent from the terminal and passes it to the artificial intelligence unit for analysis. This analysis includes the user's app usage frequency, usage time, and past operation patterns. 【0485】 Step 4: 【0486】 Based on the analysis results, the server predicts the most appropriate next action. Using a suggestion generation unit, it generates text suggesting suitable applications and actions for the user. This text is then made intuitively understandable using natural language generation technology. 【0487】 Step 5: 【0488】 The server sends the generated suggestions to the device. These suggestions include options to open specific apps and shortcuts to directly access frequently used actions. 【0489】 Step 6: 【0490】 The device displays the suggestions in its user interface. To make it easy for users to review the suggestions, they are clearly placed in the notification bar and on the home screen. 【0491】 Step 7: 【0492】 The user selects their desired action from the displayed suggestions. This selection can be made by tapping or using voice commands. 【0493】 Step 8: 【0494】 The device launches the specified application based on user instructions and performs the suggested actions. This allows the user to reach the desired information or action in fewer steps. 【0495】 (Example 1) 【0496】 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." 【0497】 In modern information technology, users routinely utilize numerous applications and operations, but the complexity of these operations and the resulting inefficiencies in daily use are significant challenges. Therefore, there is a need to enable users to efficiently perform necessary operations and provide a smoother user experience. 【0498】 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. 【0499】 In this invention, the server includes means for collecting the user's activity history, means for transmitting the activity history to a central processing unit via a communication path, and an artificial intelligence unit in the central processing unit that analyzes the activity history and predicts the next operation based on the user's behavior pattern. This makes it possible for the user to receive suggestions that allow them to perform normal operations quickly and easily, and to optimize their own actions. 【0500】 "Operation history" refers to historical information about the operations performed and applications used by a user on an information device. 【0501】 A "communication path" refers to the network or protocol used to send and receive information and data. 【0502】 A "central processing unit" is a device that has the computing resources to analyze received data and perform the necessary processing. 【0503】 An "artificial intelligence unit" is a unit that includes a machine learning model for analyzing user behavior patterns and predicting the next action. 【0504】 The "proposal generation means" is a function that proposes the optimal operating method for the user based on the analyzed data. 【0505】 "Natural language generation technology" is a technology that allows computers to generate sentences in a format similar to human language. 【0506】 A "human-machine interface" is a means that allows a user to interact with a machine and select and perform the operations presented to them. 【0507】 This invention provides a system that simplifies and streamlines the operation of information devices when users utilize them. Specifically, it is achieved by having a server analyze user behavior patterns based on usage history data collected by the terminal used by the user, and then providing optimal operation suggestions. 【0508】 Hardware and software configuration 【0509】 A terminal is an information device owned by the user, such as a smartphone or tablet. This terminal has a dedicated application installed to monitor the applications the user typically uses. When this application is running, the user's activity history is collected. 【0510】 The server possesses computing resources to analyze collected data and generate results. This analysis utilizes a generative AI model, a type of machine learning model. The server receives the user's behavioral history and uses an artificial intelligence unit to analyze the user's behavioral patterns. 【0511】 The server also has an interface that utilizes natural language generation technology and generates suggestions for the user based on the analysis results. The suggestion generation unit determines what action the user should take next and sends it to the terminal in an easy-to-understand language. 【0512】 Specific example 【0513】 For example, consider a scenario where a user tends to check the news at the same time every day. In this case, the device sends its news app usage history from the previous day to the server. The server analyzes this history using a generative AI model and generates a suggestion such as, "Would you like to check your favorite news stories this morning?" This suggestion is sent to the device and immediately displayed on the user interface. 【0514】 As an example of a prompt message directed at the user, sending a message in the format of "Generate suggestions for apps that the user frequently uses" to the server will generate appropriate suggestions. This prompt triggers the generation AI model to operate. 【0515】 This system allows users to use information devices efficiently, making daily operations simpler and more comfortable. 【0516】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0517】 Step 1: 【0518】 Collection of usage history data by devices 【0519】 The device collects historical data about the use of each application when the user uses the smartphone. This historical data includes app launch time, operation content, and usage time. The input is the user's app usage status, and the output is usage history data. This data is automatically and continuously recorded by a dedicated application on the device. 【0520】 Step 2: 【0521】 Sending data from the terminal to the server 【0522】 The terminal sends the collected usage history data to the server using a secure communication protocol (e.g., HTTPS). The input is the collected usage history data, and the output is a securely encrypted data packet. This operation ensures that accurate data is provided to the server while preventing unauthorized external access. 【0523】 Step 3: 【0524】 Server-based data analysis and behavioral pattern learning 【0525】 The server analyzes usage history data received from the terminal using a generative AI model equipped with an artificial intelligence unit. The input is usage history data received from the terminal, and the output is the analysis results regarding the user's behavior patterns. Specifically, it predicts the tendency of the next operation to be performed based on the user's usage. 【0526】 Step 4: 【0527】 Proposal generation and representation of results in natural language 【0528】 The server generates optimal operation suggestions using a suggestion generation unit based on the analyzed behavioral patterns. The input is the result of the behavioral pattern analysis, and the output is the wording of the operation suggestion presented to the user. The suggestions, created using natural language generation technology, are sent from the server to the terminal in a format that is easy for humans to understand. 【0529】 Step 5: 【0530】 Display of suggestions via the device and user selection process 【0531】 The terminal displays suggestions sent from the server as notifications and pop-up messages in the user interface. The input is the action suggestions received from the server, and the output is a visually verifiable suggestion display for the user. By selecting a suggestion, the user can quickly execute a specific action. 【0532】 This series of steps allows users to efficiently perform the necessary operations and optimize their use of information devices. 【0533】 (Application Example 1) 【0534】 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." 【0535】 In modern information technology, appropriately analyzing user behavior trends and proposing optimal information processing and operations in real time based on those trends is a challenging task. Furthermore, in electronic transactions and payments, it is crucial to immediately provide users with the most suitable payment methods and transaction terms, but conventional systems have been insufficient in this regard. 【0536】 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. 【0537】 In this invention, the server includes an intelligent processing device for analyzing the user's behavioral tendencies, a suggestion generation means for selecting an information processing device and operation based on the behavioral tendencies, and a display device for displaying the selected information processing device and operation to the user. This makes it possible to suggest appropriate payment methods and present optimal transaction conditions based on the user's usage history. 【0538】 "User behavioral trends" refer to patterns of operations and choices that individual users have made in the past, and are data used to predict specific actions. 【0539】 An "intelligent processing device" is a device implemented on a computer that uses complex algorithms to analyze user behavior. 【0540】 A "proposal generation method" is a means for automatically creating optimal information processing and operation suggestions for users based on analyzed behavioral trends. 【0541】 An "information processing device" refers to a general-purpose computer or system used to process digital information. 【0542】 A "display device" is hardware or software used to visually present information to users. 【0543】 "Execution means" refers to a device or process for actually performing the operation selected by the user. 【0544】 "Usage history" refers to a record of operations and functions used by a user in the past, and is data used to analyze behavioral trends. 【0545】 "Payment method" refers to the means or method chosen when paying for goods or services in a transaction. 【0546】 "Terms of trade" refer to the conditions and rules that govern commercial transactions related to products or services. 【0547】 The system for implementing this invention consists of an intelligent processing unit, a suggestion generation means, and a display device. The server analyzes the user's behavioral tendencies acquired using the intelligent processing unit. Based on these analysis results, the suggestion generation means dynamically proposes information processing and operations suitable for the user, utilizing a generated AI model. 【0548】 The server generates these suggestions in a user-friendly format using natural language processing technology and displays them on the user's device via a display device. The user's device refers to a computer device such as a smartphone, which is responsible for displaying the suggested information processing or operations. 【0549】 As an example, if a user frequently makes electronic payments at a particular store, the server analyzes their payment history and suggests, "Would you like to apply a 5% discount coupon for your next purchase?" If the user accepts the suggestion, the terminal automatically performs the necessary actions based on the suggestion. 【0550】 Examples of prompt messages are as follows: 【0551】 "Based on the user's payment history, generate suggestions for the next best payment method and promotions." 【0552】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0553】 Step 1: 【0554】 The terminal acquires user usage history data. Specifically, it collects data on recent payment activities and payment methods through electronic payment applications. This data is used as important input for suggestion generation. 【0555】 Step 2: 【0556】 The terminal transmits the acquired usage history data to the server via secure communication. The server receives this data and uses it as input for the next analysis step. Encryption technology is used to ensure the security of the data. 【0557】 Step 3: 【0558】 The server uses an intelligent processing unit to analyze behavioral trends based on the received usage history data. By applying an AI algorithm, it identifies the user's payment patterns and preferences and generates analysis results. These results become the input for the next suggestion generation step. 【0559】 Step 4: 【0560】 The server uses a generative AI model to generate optimal payment methods and transaction terms through a proposal generation system. Based on the analysis results, it generates the most useful proposals for the user. These generated proposals are based on carefully structured prompt statements. 【0561】 Step 5: 【0562】 The server uses natural language processing technology to convert the proposed content into a human-readable format and transmits it to the terminal via a display device. During this process, the wording of the proposed content is adjusted to ensure it is appropriate. 【0563】 Step 6: 【0564】 The device displays received suggestions to the user. For example, it visually presents a suggestion such as, "Would you like to apply a 5% discount coupon for your next purchase?" This information is immediately visible on the device's interface. 【0565】 Step 7: 【0566】 The user selects an action based on the received proposal. If the proposal is approved, the device automatically performs the relevant actions and applies the proposed payment method or coupon to the transaction. As a result, the user can easily complete the process. 【0567】 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. 【0568】 In embodiments of the present invention, a system is provided in which a terminal, a server, and a user work together to simplify user operation and to provide customization according to emotional state. 【0569】 System-wide operation 【0570】 The device immediately launches the concierge app in the background once the smartphone is unlocked. The device records the user's recent usage history data and sentiment data collected using the camera and microphone. This data is sent to the server in a privacy-enhancing manner. 【0571】 The server receives usage history data and emotion data transmitted from the terminal and uses an artificial intelligence unit to simultaneously analyze the user's behavior patterns and emotional state. This analysis helps to understand the user's application usage patterns, predict their next actions, and determine appropriate responses based on the user's emotions. 【0572】 Based on the analysis results, the server uses a suggestion generation unit and an emotion engine to create optimal application and operation suggestions. These suggestions are tailored to the user's current emotional state based on emotion data. They are expressed in a human-readable format using natural language generation technology and transmitted to the terminal via the interface unit. 【0573】 The device displays received suggestions on its user interface. Here, the interface design and messages are adjusted according to the user's emotional state, making it easy for the user to choose an action. 【0574】 Specific example 【0575】 For example, if the system detects that a user is feeling stressed, the device sends data from relaxation-related applications to the server. The server analyzes the times and behaviors that the user is most likely to experience stress and generates and sends suggestions such as "Would you like to listen to some relaxing music?" to the device. The device displays these suggestions using a soft color interface, and when the user taps, the relaxation music app launches. 【0576】 Thus, embodiments of the present invention provide a system that learns user behavior and emotions to realize a smooth and comfortable experience. 【0577】 The following describes the processing flow. 【0578】 Step 1: 【0579】 The device launches a concierge app when the smartphone is unlocked. This app runs in the background and collects emotional data using the camera and microphone, along with the user's usage history data. 【0580】 Step 2: 【0581】 The device encrypts the collected usage history data and sentiment data before securely transmitting it to the server via the internet. Appropriate security protocols are applied to this data transmission to protect user privacy. 【0582】 Step 3: 【0583】 The server receives data transmitted from the terminal and uses an artificial intelligence unit to analyze the user's behavior patterns and emotional state. This analysis evaluates factors such as usage frequency, time of day, and trends in emotional changes. 【0584】 Step 4: 【0585】 The server uses an emotion engine to identify the user's current emotional state and generates action suggestions that reflect that state. The suggestion generation unit uses this information to determine which application or action is appropriate. 【0586】 Step 5: 【0587】 The server converts the configured suggestions into a user-friendly format using natural language generation technology and sends them to the terminal via the interface unit. During this process, the suggestions are adjusted to express emotions appropriately. 【0588】 Step 6: 【0589】 The device displays received suggestions in the user interface, adjusting the design and colors as needed to create a visually appealing experience that is considerate of the user's emotions. 【0590】 Step 7: 【0591】 The user selects their desired action from the displayed suggestions and gives instructions via tap or voice command. It is expected that this selection will align with the user's emotional state. 【0592】 Step 8: 【0593】 The device launches the relevant applications and performs the suggested actions according to the user's instructions. This allows the user to enjoy the most suitable services with minimal effort. 【0594】 (Example 2) 【0595】 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." 【0596】 In today's world, users utilize numerous applications and functions on a daily basis, and simplifying their operation is essential for their effective use. Furthermore, while a user's emotional state significantly impacts their application experience, utilizing this in real-time and responding dynamically to individual users is a challenging task. Traditional systems lacked sufficient suggestions for actions that considered emotional states, resulting in users having to burden themselves by selecting the optimal action from numerous options. 【0597】 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. 【0598】 In this invention, the server includes a computing unit for simultaneously analyzing the user's behavior patterns and emotional state, a suggestion generation means for selecting applications and operations based on the analysis and making adjustments according to the user's emotional state, and a means for generating the adjusted suggestions in a human-readable format using natural language generation technology. As a result, optimal operation suggestions based on the user's behavior and emotions are automatically generated, enabling simplified operation and an improved user experience. 【0599】 "User" refers to the ultimate individual or group that operates a system or product and benefits from it. 【0600】 "Behavioral patterns" refer to a series of actions or actions that a user repeatedly exhibits over a specific period of time. 【0601】 "Emotional state" refers to the psychological and emotional state of a user at a specific time. This includes emotions such as happiness, stress, excitement, and relief. 【0602】 A "computation unit" refers to a logical or physical device or software used for analyzing and processing data. 【0603】 "Suggestion generation means" refers to a process or system that creates optimal application and operation suggestions based on the user's behavior patterns and emotional state. 【0604】 "Natural language generation technology" refers to technology that enables computers to generate information and suggestions in a natural language format that is easy for humans to understand. 【0605】 This invention is a system that analyzes a user's behavioral patterns and emotional state and proposes the optimal application and operation based on that analysis. The hardware consists of a smart device (e.g., a smartphone) used by the user and a server built on the cloud. The software includes a concierge app on the device and an artificial intelligence unit on the server side. 【0606】 Terminal operation 【0607】 The device automatically launches a concierge app in the background when the user unlocks their smart device. This app records the user's recent usage history data and sentiment data collected using the device's camera and microphone. The collected data is encrypted for privacy protection and sent to a server. 【0608】 Server analysis 【0609】 The server receives data transmitted from the terminal and performs analysis using an artificial intelligence unit. Specifically, it recognizes patterns based on the user's behavioral history and simultaneously analyzes emotional data to identify the current emotional state. Based on the analysis results, the suggestion generation system selects the most suitable application for the user and uses natural language generation technology to create suggestions in a format that is easy for humans to understand. 【0610】 Display on the interface 【0611】 The device displays suggestions sent from the server on the user interface. This interface is customized to the user's emotional state and designed for ease of use. For example, if the user is feeling stressed, the device will display a suggestion such as, "Would you like to listen to some relaxing music?" The interface is decorated with soft colors, and the options are displayed clearly. 【0612】 Examples of prompt statements as concrete examples 【0613】 An example of a prompt is, "What app should I use to relax?" This sentence is a basic format for when a system uses a generated AI model to suggest applications suitable for relaxation to a user. 【0614】 This design allows users to intuitively operate the interface and utilize the device more effectively. 【0615】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0616】 Step 1: 【0617】 Device data collection 【0618】 The device launches a concierge app when the smart device is unlocked. As input, the user's recent usage history data and sentiment data from the camera and microphone are collected. This data is encrypted to protect the user's privacy. As output, encrypted usage history data and sentiment data are generated and sent to the server. 【0619】 Step 2: 【0620】 Server data reception and analysis 【0621】 The server receives encrypted data sent from the terminal and decodes it. It receives usage history data and emotion data as input. The server analyzes this data using an artificial intelligence unit to identify the user's behavior patterns and emotional state. Data processing includes time-series analysis and emotion recognition. The output generates the analysis results of behavior patterns and emotional state. 【0622】 Step 3: 【0623】 Proposal generation 【0624】 The server uses a suggestion generation mechanism based on the analysis results to select the optimal application and operation according to the user's emotional state. The inputs used are the analysis results of behavioral patterns and emotional states. As a data calculation, optimized suggestions are generated in natural language format based on a generative AI model. These generated suggestions are then adjusted to be easily understood by the user. The output is a suggestion expressed in natural language. 【0625】 Step 4: 【0626】 Submitting and displaying proposals 【0627】 The server sends the generated suggestions to the terminal. The suggestions, generated in natural language, are used as input. The terminal displays these suggestions on its user interface. Here, the interface design is adjusted based on the suggestions, and colors and layouts appropriate to the user's emotional state are applied. The output displays the suggestions in an emotionally sensitive interface. 【0628】 Step 5: 【0629】 User selection and execution 【0630】 The user reviews the suggestions displayed on their device and performs actions such as tapping if they are interested. The input consists of the displayed suggestions and the user's actions. The data calculation involves executing the selected action and launching the application. The output is the launch of the selected application on the user's device and the execution of the action. 【0631】 (Application Example 2) 【0632】 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." 【0633】 Conventional home appliances and interactions with them have made it difficult to customize them while considering the user's emotional state. As a result, there has been a problem in that user comfort and convenience cannot be sufficiently improved. The present invention aims to solve these problems and provide a system that offers suggestions and operations for home appliances that are appropriate to the user's emotional state. 【0634】 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. 【0635】 In this invention, the server includes means for an intelligent unit for analyzing the user's emotional state, means for suggestion generation for selecting a home appliance and task based on the emotional state, and means for information presentation for displaying the selected home appliance and task to the user. This makes it possible to select an appropriate home appliance and perform a task according to the user's emotions. 【0636】 "User" refers to a person who operates the system. 【0637】 "Emotional state" refers to information that indicates the user's psychological and emotional state. 【0638】 An "intelligence unit" is a component equipped with knowledge and algorithms for analyzing the emotional state of a user. 【0639】 A "proposal generation means" is a component that selects and proposes household devices and tasks based on the user's emotional state. 【0640】 "Information presentation means" refers to components used to visually or audibly present selected household devices or tasks to the user. 【0641】 "Household appliances" are electrical and mechanical devices designed to improve user convenience in daily life. 【0642】 "Work" refers to the actions or processes that a household device or system can perform. 【0643】 To implement this invention, a system is needed that analyzes the user's emotional state and suggests appropriate household devices and tasks. The entire system consists of a robot, a server, and a user interface. 【0644】 The robot acquires user emotion data using sensors such as cameras and microphones, and transmits this data to a server via Wi-Fi. The data is stored and managed on the server using Google Cloud Platform or similar cloud services. 【0645】 The server analyzes received sentiment data using the Python programming language and machine learning libraries such as TensorFlow. Based on the sentiment analysis results, it operates a suggestion generation system to devise suggestions for home devices and tasks. The suggestions are generated in a human-readable format using natural language generation technology. For example, if a user is feeling stressed, it may suggest, "Would you like to listen to some relaxing music?" 【0646】 Furthermore, suggestions generated by the server are communicated to the user through the robot's interface. Information can be presented visually or audibly using a voice assistant or touchscreen. For example, the robot might interact with the user by saying, "Shall I brew you a relaxing tea to help you recover from today's fatigue?" 【0647】 By using a generative AI model on the server, suggestions can be dynamically generated to enhance user experience. An example of a prompt would be, "Based on the user's emotional state, please suggest the most suitable entertainment." 【0648】 This configuration makes it possible to provide more personalized in-home support that responds to the user's emotions. 【0649】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0650】 Step 1: 【0651】 The user begins using their device. 【0652】 The input consists of video and audio data from the device's sensors. The user operates the smart device, and emotional data is collected through the device's built-in camera and microphone. Specifically, data is acquired for analyzing facial expressions and voice tone. The output is the acquisition of this emotional data. 【0653】 Step 2: 【0654】 The device preprocesses the collected emotion data. 【0655】 The input is the sentiment data obtained in Step 1. The terminal filters the data for noise and standardizes it as needed. This data processing removes unnecessary data and shapes it into a format suitable for analysis. The output is the shaped sentiment data. 【0656】 Step 3: 【0657】 The device sends pre-processed emotion data to the server. 【0658】 The input is the sentiment data formatted in step 2. The device encrypts this data and securely sends it to the cloud server. The output is the sentiment data sent to the server. 【0659】 Step 4: 【0660】 The server analyzes the received emotion data. 【0661】 The input is emotion data sent from the terminal. The server uses Python and TensorFlow to analyze the emotion data and perform data calculations to identify the user's emotional state. The output is the analysis result regarding the user's emotional state. 【0662】 Step 5: 【0663】 The server generates suggestions based on the analysis results. 【0664】 The input is the analysis results obtained in step 4. The generative AI model, running on the server, generates suggestions for home appliances and tasks best suited to the user's current emotional state based on the analysis results. It dynamically generates suggestions using prompts. The output is the generated suggestions. 【0665】 Step 6: 【0666】 The server sends the generated suggestions to the terminal. 【0667】 The input is the proposal generated in step 5. The proposal is expressed clearly using natural language generation technology and transmitted to the terminal. The output is the proposal sent to the terminal. 【0668】 Step 7: 【0669】 The device notifies the user of the proposed content. 【0670】 The input is the suggestion received in step 6. The terminal presents the suggestion to the user visually or audibly using a voice assistant or touchscreen. This allows the user to confirm the operation or task of the suggested home appliance. The output is the suggestion presented to the user. 【0671】 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. 【0672】 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. 【0673】 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. 【0674】 [Fourth Embodiment] 【0675】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0676】 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. 【0677】 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). 【0678】 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. 【0679】 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. 【0680】 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). 【0681】 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. 【0682】 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. 【0683】 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. 【0684】 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. 【0685】 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. 【0686】 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. 【0687】 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". 【0688】 In embodiments of the present invention, a system is provided in which a terminal, a server, and a user work together to simplify user operation. 【0689】 System-wide operation 【0690】 The device operates as part of this system when launching applications on the user's smartphone. It launches the concierge app when the smartphone is unlocked and collects the user's recent usage history data in the background. The collected data is sent to the server via secure communication. 【0691】 The server receives usage history data sent from the terminal and uses an artificial intelligence unit to analyze the user's behavior patterns. This analysis helps to understand the trends in how users utilize the application and predict the next actions they will take. 【0692】 Based on the analysis results, the server uses a proposal generation unit to create suggestions for optimal applications and operations. These suggestions are expressed in a human-readable format using natural language generation technology and sent to the terminal via an interface unit. 【0693】 The device displays received suggestions on the user interface, allowing the user to easily select an action. The user can quickly perform the desired action by tapping on a suggested option. 【0694】 Specific example 【0695】 For example, suppose a user checks the news every morning. In this case, the device sends data on the user's recent news app usage to a server. The server analyzes the user's tendency to use the news app every morning and generates a suggestion, "Would you like to open the news app and check the latest news?", which is then sent to the device. The device displays this suggestion as a notification, and when the user taps it, the news app automatically launches and displays the latest news articles. 【0696】 Thus, embodiments of the present invention provide a system that learns user behavior and enables smooth and intuitive operation. 【0697】 The following describes the processing flow. 【0698】 Step 1: 【0699】 The device detects that the smartphone has been unlocked and immediately launches the concierge app in the background. This starts collecting usage history data and operation logs for recently used applications. 【0700】 Step 2: 【0701】 The device encrypts the collected usage history data and transmits it to the server via the internet. This process is carried out in accordance with security standards to protect user privacy. 【0702】 Step 3: 【0703】 The server receives data sent from the terminal and passes it to the artificial intelligence unit for analysis. This analysis includes the user's app usage frequency, usage time, and past operation patterns. 【0704】 Step 4: 【0705】 Based on the analysis results, the server predicts the most appropriate next action. Using a suggestion generation unit, it generates text suggesting suitable applications and actions for the user. This text is then made intuitively understandable using natural language generation technology. 【0706】 Step 5: 【0707】 The server sends the generated suggestions to the device. These suggestions include options to open specific apps and shortcuts to directly access frequently used actions. 【0708】 Step 6: 【0709】 The device displays the suggestions in its user interface. To make it easy for users to review the suggestions, they are clearly placed in the notification bar and on the home screen. 【0710】 Step 7: 【0711】 The user selects their desired action from the displayed suggestions. This selection can be made by tapping or using voice commands. 【0712】 Step 8: 【0713】 The device launches the specified application based on user instructions and performs the suggested actions. This allows the user to reach the desired information or action in fewer steps. 【0714】 (Example 1) 【0715】 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". 【0716】 In modern information technology, users routinely utilize numerous applications and operations, but the complexity of these operations and the resulting inefficiencies in daily use are significant challenges. Therefore, there is a need to enable users to efficiently perform necessary operations and provide a smoother user experience. 【0717】 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. 【0718】 In this invention, the server includes means for collecting the user's activity history, means for transmitting the activity history to a central processing unit via a communication path, and an artificial intelligence unit in the central processing unit that analyzes the activity history and predicts the next operation based on the user's behavior pattern. This makes it possible for the user to receive suggestions that allow them to perform normal operations quickly and easily, and to optimize their own actions. 【0719】 "Operation history" refers to historical information about the operations performed and applications used by a user on an information device. 【0720】 A "communication path" refers to the network or protocol used to send and receive information and data. 【0721】 A "central processing unit" is a device that has the computing resources to analyze received data and perform the necessary processing. 【0722】 An "artificial intelligence unit" is a unit that includes a machine learning model for analyzing user behavior patterns and predicting the next action. 【0723】 The "proposal generation means" is a function that proposes the optimal operating method for the user based on the analyzed data. 【0724】 "Natural language generation technology" is a technology that allows computers to generate sentences in a format similar to human language. 【0725】 A "human-machine interface" is a means that allows a user to interact with a machine and select and perform the operations presented to them. 【0726】 This invention provides a system that simplifies and streamlines the operation of information devices when users utilize them. Specifically, it is achieved by having a server analyze user behavior patterns based on usage history data collected by the terminal used by the user, and then providing optimal operation suggestions. 【0727】 Hardware and software configuration 【0728】 A terminal is an information device owned by the user, such as a smartphone or tablet. This terminal has a dedicated application installed to monitor the applications the user typically uses. When this application is running, the user's activity history is collected. 【0729】 The server possesses computing resources to analyze collected data and generate results. This analysis utilizes a generative AI model, a type of machine learning model. The server receives the user's behavioral history and uses an artificial intelligence unit to analyze the user's behavioral patterns. 【0730】 The server also has an interface that utilizes natural language generation technology and generates suggestions for the user based on the analysis results. The suggestion generation unit determines what action the user should take next and sends it to the terminal in an easy-to-understand language. 【0731】 Specific example 【0732】 For example, consider a scenario where a user tends to check the news at the same time every day. In this case, the device sends its news app usage history from the previous day to the server. The server analyzes this history using a generative AI model and generates a suggestion such as, "Would you like to check your favorite news stories this morning?" This suggestion is sent to the device and immediately displayed on the user interface. 【0733】 As an example of a prompt message directed at the user, sending a message in the format of "Generate suggestions for apps that the user frequently uses" to the server will generate appropriate suggestions. This prompt triggers the generation AI model to operate. 【0734】 This system allows users to use information devices efficiently, making daily operations simpler and more comfortable. 【0735】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0736】 Step 1: 【0737】 Collection of usage history data by devices 【0738】 The device collects historical data about the use of each application when the user uses the smartphone. This historical data includes app launch time, operation content, and usage time. The input is the user's app usage status, and the output is usage history data. This data is automatically and continuously recorded by a dedicated application on the device. 【0739】 Step 2: 【0740】 Sending data from the terminal to the server 【0741】 The terminal sends the collected usage history data to the server using a secure communication protocol (e.g., HTTPS). The input is the collected usage history data, and the output is a securely encrypted data packet. This operation ensures that accurate data is provided to the server while preventing unauthorized external access. 【0742】 Step 3: 【0743】 Server-based data analysis and behavioral pattern learning 【0744】 The server analyzes usage history data received from the terminal using a generative AI model equipped with an artificial intelligence unit. The input is usage history data received from the terminal, and the output is the analysis results regarding the user's behavior patterns. Specifically, it predicts the tendency of the next operation to be performed based on the user's usage. 【0745】 Step 4: 【0746】 Proposal generation and representation of results in natural language 【0747】 The server generates optimal operation suggestions using a suggestion generation unit based on the analyzed behavioral patterns. The input is the result of the behavioral pattern analysis, and the output is the wording of the operation suggestion presented to the user. The suggestions, created using natural language generation technology, are sent from the server to the terminal in a format that is easy for humans to understand. 【0748】 Step 5: 【0749】 Display of suggestions via the device and user selection process 【0750】 The terminal displays suggestions sent from the server as notifications and pop-up messages in the user interface. The input is the action suggestions received from the server, and the output is a visually verifiable suggestion display for the user. By selecting a suggestion, the user can quickly execute a specific action. 【0751】 This series of steps allows users to efficiently perform the necessary operations and optimize their use of information devices. 【0752】 (Application Example 1) 【0753】 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". 【0754】 In modern information technology, appropriately analyzing user behavior trends and proposing optimal information processing and operations in real time based on those trends is a challenging task. Furthermore, in electronic transactions and payments, it is crucial to immediately provide users with the most suitable payment methods and transaction terms, but conventional systems have been insufficient in this regard. 【0755】 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. 【0756】 In this invention, the server includes an intelligent processing device for analyzing the user's behavioral tendencies, a suggestion generation means for selecting an information processing device and operation based on the behavioral tendencies, and a display device for displaying the selected information processing device and operation to the user. This makes it possible to suggest appropriate payment methods and present optimal transaction conditions based on the user's usage history. 【0757】 "User behavioral trends" refer to patterns of operations and choices that individual users have made in the past, and are data used to predict specific actions. 【0758】 An "intelligent processing device" is a device implemented on a computer that uses complex algorithms to analyze user behavior. 【0759】 A "proposal generation method" is a means for automatically creating optimal information processing and operation suggestions for users based on analyzed behavioral trends. 【0760】 An "information processing device" refers to a general-purpose computer or system used to process digital information. 【0761】 A "display device" is hardware or software used to visually present information to users. 【0762】 "Execution means" refers to a device or process for actually performing the operation selected by the user. 【0763】 "Usage history" refers to a record of operations and functions used by a user in the past, and is data used to analyze behavioral trends. 【0764】 "Payment method" refers to the means or method chosen when paying for goods or services in a transaction. 【0765】 "Terms of trade" refer to the conditions and rules that govern commercial transactions related to products or services. 【0766】 The system for implementing this invention consists of an intelligent processing unit, a suggestion generation means, and a display device. The server analyzes the user's behavioral tendencies acquired using the intelligent processing unit. Based on these analysis results, the suggestion generation means dynamically proposes information processing and operations suitable for the user, utilizing a generated AI model. 【0767】 The server generates these suggestions in a user-friendly format using natural language processing technology and displays them on the user's device via a display device. The user's device refers to a computer device such as a smartphone, which is responsible for displaying the suggested information processing or operations. 【0768】 As an example, if a user frequently makes electronic payments at a particular store, the server analyzes their payment history and suggests, "Would you like to apply a 5% discount coupon for your next purchase?" If the user accepts the suggestion, the terminal automatically performs the necessary actions based on the suggestion. 【0769】 Examples of prompt messages are as follows: 【0770】 "Based on the user's payment history, generate suggestions for the next best payment method and promotions." 【0771】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0772】 Step 1: 【0773】 The terminal acquires user usage history data. Specifically, it collects data on recent payment activities and payment methods through electronic payment applications. This data is used as important input for suggestion generation. 【0774】 Step 2: 【0775】 The terminal transmits the acquired usage history data to the server via secure communication. The server receives this data and uses it as input for the next analysis step. Encryption technology is used to ensure the security of the data. 【0776】 Step 3: 【0777】 The server uses an intelligent processing unit to analyze behavioral trends based on the received usage history data. By applying an AI algorithm, it identifies the user's payment patterns and preferences and generates analysis results. These results become the input for the next suggestion generation step. 【0778】 Step 4: 【0779】 The server uses a generative AI model to generate optimal payment methods and transaction terms through a proposal generation system. Based on the analysis results, it generates the most useful proposals for the user. These generated proposals are based on carefully structured prompt statements. 【0780】 Step 5: 【0781】 The server uses natural language processing technology to convert the proposed content into a human-readable format and transmits it to the terminal via a display device. During this process, the wording of the proposed content is adjusted to ensure it is appropriate. 【0782】 Step 6: 【0783】 The device displays received suggestions to the user. For example, it visually presents a suggestion such as, "Would you like to apply a 5% discount coupon for your next purchase?" This information is immediately visible on the device's interface. 【0784】 Step 7: 【0785】 The user selects an action based on the received proposal. If the proposal is approved, the device automatically performs the relevant actions and applies the proposed payment method or coupon to the transaction. As a result, the user can easily complete the process. 【0786】 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. 【0787】 In embodiments of the present invention, a system is provided in which a terminal, a server, and a user work together to simplify user operation and to provide customization according to emotional state. 【0788】 System-wide operation 【0789】 The device immediately launches the concierge app in the background once the smartphone is unlocked. The device records the user's recent usage history data and sentiment data collected using the camera and microphone. This data is sent to the server in a privacy-enhancing manner. 【0790】 The server receives usage history data and emotion data transmitted from the terminal and uses an artificial intelligence unit to simultaneously analyze the user's behavior patterns and emotional state. This analysis helps to understand the user's application usage patterns, predict their next actions, and determine appropriate responses based on the user's emotions. 【0791】 Based on the analysis results, the server uses a suggestion generation unit and an emotion engine to create optimal application and operation suggestions. These suggestions are tailored to the user's current emotional state based on emotion data. They are expressed in a human-readable format using natural language generation technology and transmitted to the terminal via the interface unit. 【0792】 The device displays received suggestions on its user interface. Here, the interface design and messages are adjusted according to the user's emotional state, making it easy for the user to choose an action. 【0793】 Specific example 【0794】 For example, if the system detects that a user is feeling stressed, the device sends data from relaxation-related applications to the server. The server analyzes the times and behaviors that the user is most likely to experience stress and generates and sends suggestions such as "Would you like to listen to some relaxing music?" to the device. The device displays these suggestions using a soft color interface, and when the user taps, the relaxation music app launches. 【0795】 Thus, embodiments of the present invention provide a system that learns user behavior and emotions to realize a smooth and comfortable experience. 【0796】 The following describes the processing flow. 【0797】 Step 1: 【0798】 The device launches a concierge app when the smartphone is unlocked. This app runs in the background and collects emotional data using the camera and microphone, along with the user's usage history data. 【0799】 Step 2: 【0800】 The device encrypts the collected usage history data and sentiment data before securely transmitting it to the server via the internet. Appropriate security protocols are applied to this data transmission to protect user privacy. 【0801】 Step 3: 【0802】 The server receives data transmitted from the terminal and uses an artificial intelligence unit to analyze the user's behavior patterns and emotional state. This analysis evaluates factors such as usage frequency, time of day, and trends in emotional changes. 【0803】 Step 4: 【0804】 The server uses an emotion engine to identify the user's current emotional state and generates action suggestions that reflect that state. The suggestion generation unit uses this information to determine which application or action is appropriate. 【0805】 Step 5: 【0806】 The server converts the configured suggestions into a user-friendly format using natural language generation technology and sends them to the terminal via the interface unit. During this process, the suggestions are adjusted to express emotions appropriately. 【0807】 Step 6: 【0808】 The device displays received suggestions in the user interface, adjusting the design and colors as needed to create a visually appealing experience that is considerate of the user's emotions. 【0809】 Step 7: 【0810】 The user selects their desired action from the displayed suggestions and gives instructions via tap or voice command. It is expected that this selection will align with the user's emotional state. 【0811】 Step 8: 【0812】 The device launches the relevant applications and performs the suggested actions according to the user's instructions. This allows the user to enjoy the most suitable services with minimal effort. 【0813】 (Example 2) 【0814】 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". 【0815】 In today's world, users utilize numerous applications and functions on a daily basis, and simplifying their operation is essential for their effective use. Furthermore, while a user's emotional state significantly impacts their application experience, utilizing this in real-time and responding dynamically to individual users is a challenging task. Traditional systems lacked sufficient suggestions for actions that considered emotional states, resulting in users having to burden themselves by selecting the optimal action from numerous options. 【0816】 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. 【0817】 In this invention, the server includes a computing unit for simultaneously analyzing the user's behavior patterns and emotional state, a suggestion generation means for selecting applications and operations based on the analysis and making adjustments according to the user's emotional state, and a means for generating the adjusted suggestions in a human-readable format using natural language generation technology. As a result, optimal operation suggestions based on the user's behavior and emotions are automatically generated, enabling simplified operation and an improved user experience. 【0818】 "User" refers to the ultimate individual or group that operates a system or product and benefits from it. 【0819】 "Behavioral patterns" refer to a series of actions or actions that a user repeatedly exhibits over a specific period of time. 【0820】 "Emotional state" refers to the psychological and emotional state of a user at a specific time. This includes emotions such as happiness, stress, excitement, and relief. 【0821】 A "computation unit" refers to a logical or physical device or software used for analyzing and processing data. 【0822】 "Suggestion generation means" refers to a process or system that creates optimal application and operation suggestions based on the user's behavior patterns and emotional state. 【0823】 "Natural language generation technology" refers to technology that enables computers to generate information and suggestions in a natural language format that is easy for humans to understand. 【0824】 This invention is a system that analyzes a user's behavioral patterns and emotional state and proposes the optimal application and operation based on that analysis. The hardware consists of a smart device (e.g., a smartphone) used by the user and a server built on the cloud. The software includes a concierge app on the device and an artificial intelligence unit on the server side. 【0825】 Terminal operation 【0826】 The device automatically launches a concierge app in the background when the user unlocks their smart device. This app records the user's recent usage history data and sentiment data collected using the device's camera and microphone. The collected data is encrypted for privacy protection and sent to a server. 【0827】 Server analysis 【0828】 The server receives data transmitted from the terminal and performs analysis using an artificial intelligence unit. Specifically, it recognizes patterns based on the user's behavioral history and simultaneously analyzes emotional data to identify the current emotional state. Based on the analysis results, the suggestion generation system selects the most suitable application for the user and uses natural language generation technology to create suggestions in a format that is easy for humans to understand. 【0829】 Display on the interface 【0830】 The device displays suggestions sent from the server on the user interface. This interface is customized to the user's emotional state and designed for ease of use. For example, if the user is feeling stressed, the device will display a suggestion such as, "Would you like to listen to some relaxing music?" The interface is decorated with soft colors, and the options are displayed clearly. 【0831】 Examples of prompt statements as concrete examples 【0832】 An example of a prompt is, "What app should I use to relax?" This sentence is a basic format for when a system uses a generated AI model to suggest applications suitable for relaxation to a user. 【0833】 This design allows users to intuitively operate the interface and utilize the device more effectively. 【0834】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0835】 Step 1: 【0836】 Device data collection 【0837】 The device launches a concierge app when the smart device is unlocked. As input, the user's recent usage history data and sentiment data from the camera and microphone are collected. This data is encrypted to protect the user's privacy. As output, encrypted usage history data and sentiment data are generated and sent to the server. 【0838】 Step 2: 【0839】 Server data reception and analysis 【0840】 The server receives encrypted data sent from the terminal and decodes it. It receives usage history data and emotion data as input. The server analyzes this data using an artificial intelligence unit to identify the user's behavior patterns and emotional state. Data processing includes time-series analysis and emotion recognition. The output generates the analysis results of behavior patterns and emotional state. 【0841】 Step 3: 【0842】 Proposal generation 【0843】 The server uses a suggestion generation mechanism based on the analysis results to select the optimal application and operation according to the user's emotional state. The inputs used are the analysis results of behavioral patterns and emotional states. As a data calculation, optimized suggestions are generated in natural language format based on a generative AI model. These generated suggestions are then adjusted to be easily understood by the user. The output is a suggestion expressed in natural language. 【0844】 Step 4: 【0845】 Submitting and displaying proposals 【0846】 The server sends the generated suggestions to the terminal. The suggestions, generated in natural language, are used as input. The terminal displays these suggestions on its user interface. Here, the interface design is adjusted based on the suggestions, and colors and layouts appropriate to the user's emotional state are applied. The output displays the suggestions in an emotionally sensitive interface. 【0847】 Step 5: 【0848】 User selection and execution 【0849】 The user reviews the suggestions displayed on their device and performs actions such as tapping if they are interested. The input consists of the displayed suggestions and the user's actions. The data calculation involves executing the selected action and launching the application. The output is the launch of the selected application on the user's device and the execution of the action. 【0850】 (Application Example 2) 【0851】 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". 【0852】 Conventional home appliances and interactions with them have made it difficult to customize them while considering the user's emotional state. As a result, there has been a problem in that user comfort and convenience cannot be sufficiently improved. The present invention aims to solve these problems and provide a system that offers suggestions and operations for home appliances that are appropriate to the user's emotional state. 【0853】 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. 【0854】 In this invention, the server includes means for an intelligent unit for analyzing the user's emotional state, means for suggestion generation for selecting a home appliance and task based on the emotional state, and means for information presentation for displaying the selected home appliance and task to the user. This makes it possible to select an appropriate home appliance and perform a task according to the user's emotions. 【0855】 "User" refers to a person who operates the system. 【0856】 "Emotional state" refers to information that indicates the user's psychological and emotional state. 【0857】 An "intelligence unit" is a component equipped with knowledge and algorithms for analyzing the emotional state of a user. 【0858】 A "proposal generation means" is a component that selects and proposes household devices and tasks based on the user's emotional state. 【0859】 "Information presentation means" refers to components used to visually or audibly present selected household devices or tasks to the user. 【0860】 "Household appliances" are electrical and mechanical devices designed to improve user convenience in daily life. 【0861】 "Work" refers to the actions or processes that a household device or system can perform. 【0862】 To implement this invention, a system is needed that analyzes the user's emotional state and suggests appropriate household devices and tasks. The entire system consists of a robot, a server, and a user interface. 【0863】 The robot acquires user emotion data using sensors such as cameras and microphones, and transmits this data to a server via Wi-Fi. The data is stored and managed on the server using Google Cloud Platform or similar cloud services. 【0864】 The server analyzes received sentiment data using the Python programming language and machine learning libraries such as TensorFlow. Based on the sentiment analysis results, it operates a suggestion generation system to devise suggestions for home devices and tasks. The suggestions are generated in a human-readable format using natural language generation technology. For example, if a user is feeling stressed, it may suggest, "Would you like to listen to some relaxing music?" 【0865】 Furthermore, suggestions generated by the server are communicated to the user through the robot's interface. Information can be presented visually or audibly using a voice assistant or touchscreen. For example, the robot might interact with the user by saying, "Shall I brew you a relaxing tea to help you recover from today's fatigue?" 【0866】 By using a generative AI model on the server, suggestions can be dynamically generated to enhance user experience. An example of a prompt would be, "Based on the user's emotional state, please suggest the most suitable entertainment." 【0867】 This configuration makes it possible to provide more personalized in-home support that responds to the user's emotions. 【0868】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0869】 Step 1: 【0870】 The user begins using their device. 【0871】 The input consists of video and audio data from the device's sensors. The user operates the smart device, and emotional data is collected through the device's built-in camera and microphone. Specifically, data is acquired for analyzing facial expressions and voice tone. The output is the acquisition of this emotional data. 【0872】 Step 2: 【0873】 The device preprocesses the collected emotion data. 【0874】 The input is the sentiment data obtained in Step 1. The terminal filters the data for noise and standardizes it as needed. This data processing removes unnecessary data and shapes it into a format suitable for analysis. The output is the shaped sentiment data. 【0875】 Step 3: 【0876】 The device sends pre-processed emotion data to the server. 【0877】 The input is the sentiment data formatted in step 2. The device encrypts this data and securely sends it to the cloud server. The output is the sentiment data sent to the server. 【0878】 Step 4: 【0879】 The server analyzes the received emotion data. 【0880】 The input is emotion data sent from the terminal. The server uses Python and TensorFlow to analyze the emotion data and perform data calculations to identify the user's emotional state. The output is the analysis result regarding the user's emotional state. 【0881】 Step 5: 【0882】 The server generates suggestions based on the analysis results. 【0883】 The input is the analysis results obtained in step 4. The generative AI model, running on the server, generates suggestions for home appliances and tasks best suited to the user's current emotional state based on the analysis results. It dynamically generates suggestions using prompts. The output is the generated suggestions. 【0884】 Step 6: 【0885】 The server sends the generated suggestions to the terminal. 【0886】 The input is the proposal generated in step 5. The proposal is expressed clearly using natural language generation technology and transmitted to the terminal. The output is the proposal sent to the terminal. 【0887】 Step 7: 【0888】 The device notifies the user of the proposed content. 【0889】 The input is the suggestion received in step 6. The terminal presents the suggestion to the user visually or audibly using a voice assistant or touchscreen. This allows the user to confirm the operation or task of the suggested home appliance. The output is the suggestion presented to the user. 【0890】 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. 【0891】 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. 【0892】 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. 【0893】 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. 【0894】 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. 【0895】 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. 【0896】 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. 【0897】 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. 【0898】 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." 【0899】 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. 【0900】 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. 【0901】 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. 【0902】 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. 【0903】 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. 【0904】 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. 【0905】 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. 【0906】 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. 【0907】 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. 【0908】 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. 【0909】 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. 【0910】 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 as being incorporated by reference. 【0911】 The following is further disclosed regarding the embodiments described above. 【0912】 (Claim 1) 【0913】 An artificial intelligence unit for analyzing user behavior patterns, 【0914】 A proposal generation unit that selects applications and operations based on the behavioral pattern, 【0915】 An interface unit that displays the selected application and operation to the user, 【0916】 An operation unit that performs the operation selected based on the displayed suggestion, 【0917】 A system that includes this. 【0918】 (Claim 2) 【0919】 The system according to claim 1, comprising means for collecting user usage history data and securely transmitting it to a server. 【0920】 (Claim 3) 【0921】 The system according to claim 1, comprising means for dynamically generating operation suggestion text using natural language generation technology. 【0922】 "Example 1" 【0923】 (Claim 1) 【0924】 A means of collecting the user's activity history, 【0925】 Means for transmitting the operation history to a central processing unit via a communication path, 【0926】 The central processing unit analyzes the operation history and predicts the next operation based on the user's behavior pattern, and 【0927】 A proposal generation means that suggests appropriate operations based on the aforementioned analysis results, 【0928】 A means of dynamically generating presentation text using natural language generation technology, 【0929】 A human-machine interface means that displays the operations presented to the user and executes the selected operation, 【0930】 A system that includes this. 【0931】 (Claim 2) 【0932】 The system according to claim 1, comprising means for collecting user usage history data and securely transmitting it to a central processing unit. 【0933】 (Claim 3) 【0934】 The system according to claim 1, comprising means for dynamically generating the wording of an operation suggestion using natural language generation technology. 【0935】 "Application Example 1" 【0936】 (Claim 1) 【0937】 An intelligent processing device for analyzing user behavioral trends, 【0938】 A proposal generation means for selecting an information processing device and operation based on the behavioral tendencies, 【0939】 A display device that shows the information processing device and operation selected by the user, 【0940】 An execution means that performs the operation selected based on the displayed suggestion, 【0941】 A means of analyzing a user's usage history and predicting and proposing the optimal payment method or transaction terms, 【0942】 A system that includes this. 【0943】 (Claim 2) 【0944】 The system according to claim 1, comprising a function for collecting user activity history information and securely transmitting it to a storage device. 【0945】 (Claim 3) 【0946】 The system according to claim 1, comprising a function for dynamically generating expressions of operation suggestions using natural language processing technology. 【0947】 "Example 2 of combining an emotion engine" 【0948】 (Claim 1) 【0949】 A computing unit for simultaneously analyzing the user's behavioral patterns and emotional state, 【0950】 A proposal generation means that selects applications and operations based on the analysis and makes adjustments according to the user's emotional state, 【0951】 A means of generating refined proposals in a human-readable format using natural language generation technology, 【0952】 A means for displaying the generated suggestions on the user's device and dynamically adjusting the interface according to their emotional state, 【0953】 ... 【0954】 A system that includes this. 【0955】 (Claim 2) 【0956】 The system according to claim 1, comprising communication means for acquiring user usage history data and sentiment data and securely transmitting them to a computing device. 【0957】 (Claim 3) 【0958】 The system according to claim 1, comprising means for displaying received suggestions on an interface in accordance with the user's emotional state, and enabling the user to easily select from them. 【0959】 "Application example 2 when combining with an emotional engine" 【0960】 (Claim 1) 【0961】 An intelligent unit for analyzing the emotional state of users, 【0962】 A proposal generation means for selecting household devices and tasks based on the emotional state, 【0963】 Information display means that shows the user the selected household device and task, 【0964】 An operating means that performs the selected task based on the displayed suggestion, 【0965】 A system that includes this. 【0966】 (Claim 2) 【0967】 The system according to claim 1, comprising means for collecting user emotional data and securely transmitting it to an information processing device. 【0968】 (Claim 3) 【0969】 The system according to claim 1, comprising means for dynamically generating the wording of a work proposal using natural language generation technology. [Explanation of symbols] 【0970】 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

[Claim 1] An artificial intelligence unit for analyzing user behavior patterns, A proposal generation unit that selects applications and operations based on the behavioral pattern, An interface unit that displays the selected application and operation to the user, An operation unit that performs the operation selected based on the displayed suggestion, A system that includes this. [Claim 2] The system according to claim 1, comprising means for collecting user usage history data and securely transmitting it to a server. [Claim 3] The system according to claim 1, comprising means for dynamically generating operation suggestion text using natural language generation technology.

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