system

Abstract

We provide the system. [Solution] A means by which an information processing device obtains electronic communication messages from an external database, A means for analyzing the content of the aforementioned electronic communication message and classifying it based on priority, A system including means for displaying electronic communication messages classified as user devices.

Description

【Technical Field】 , , , , , 【0004】 , , , , 【0005】 , , , , , 【0003】 , , , 【0001】 The technology of the present disclosure relates to a system. 【Background Art】 【0002】 Patent Document 1 discloses a persona chatbot control method performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance that responds to the user utterance. 【Prior Art Documents】 【Patent Documents】 【0003】 【Patent Document 1】 Japanese Patent Application Laid-Open No. 2022-180**82** 【Summary of the Invention】 【Problems to be Solved by the Invention】 【0004】 In the modern business environment, there is an increasing need to efficiently process a vast amount of information such as electronic communication messages, schedule management, and task management to improve business efficiency. However, with conventional methods, since these are managed individually, it takes time and effort, and it is difficult to improve productivity. Furthermore, there is a problem that it is difficult to make effective adjustments considering the schedules and tasks of other users. 【Means for Solving the Problems】 【0005】 This invention provides a system that acquires electronic communication messages using an information processing device, analyzes their content, and classifies them based on priority. Furthermore, by providing means for acquiring electronic calendar data and suggesting optimal times considering the schedules of other users, it enables efficient schedule adjustment. In addition, by receiving task information and setting priorities based on importance and deadlines, it enables effective task management. In this way, it achieves improved work efficiency and productivity. 【0006】 An "information processing device" is a system of hardware and software used to collect, process, and analyze data. 【0007】 An "external database" is a repository containing information that can be accessed via a network. 【0008】 "Electronic communication messages" refer to digital format communications sent and received via email or messaging services. 【0009】 A "user device" is a device that a user directly operates to display or input information. 【0010】 "Calendar data" refers to a collection of digital information that manages schedules and meeting information along with dates and times. 【0011】 "Task information" refers to digital data that includes details, deadlines, priorities, and other information related to a specific task or operation. 【0012】 "Priority" refers to the order in which tasks and information are organized based on their importance and urgency. 【0013】 "Analysis" is the process of breaking down information into its details to understand its content and meaning. [Brief explanation of the drawing] 【0014】 [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. <​​​​​​​​​​​​​​​​​Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings. 【0016】 First, the terms used in the following description will be explained. 【0017】 In the following embodiments, a numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like. 【0018】 In the following embodiments, a numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor. 【0019】 In the following embodiments, a numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like. 【0020】 In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark). 【0021】 In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or." 【0022】 [First Embodiment] 【0023】 Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment. 【0024】 As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server. 【0025】 The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network). 【0026】 The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52. 【0027】 The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input. 【0028】 The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor. 【0029】 Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54. 【0030】 Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14. 【0031】 As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30. 【0032】 The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. 【0033】 In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48. 【0034】 Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal". 【0035】 This invention is implemented as an information processing system for efficiently managing electronic communication messages, scheduling, and managing tasks. 【0036】 Email management module 【0037】 The server connects to an external database to retrieve electronic messages from the user's email account. The retrieved messages are analyzed within the server using natural language processing and prioritized based on importance. The terminal receives the analysis results and displays them visually to the user. Specifically, important emails are highlighted in red to allow the user to quickly identify them. The user can then open these emails on the terminal and take immediate action. 【0038】 Schedule adjustment module 【0039】 The device synchronizes the user's calendar data, and the server analyzes that data. Based on the collected data, the server suggests the most suitable meeting schedule. For example, for a meeting with three or more participants, it can check everyone's calendars and suggest available time slots. The user can then select from the multiple suggested dates and times presented on the device and register the chosen schedule back into their calendar. 【0040】 Task management module 【0041】 When a user enters task information into their device, the server analyzes the information and determines its priority, taking into account its importance and deadline. The device displays this information to the user and updates the progress in real time. For example, if a user registers a project that needs to be completed by the weekend, the server will prioritize that task over other tasks and send an automatic reminder through the device before the deadline. 【0042】 By using this system, users can significantly improve their work efficiency, respond quickly to important information, maintain optimal schedules, and ensure all tasks are completed on time. This is expected to enhance business productivity and strengthen competitiveness. 【0043】 The following describes the processing flow. 【0044】 Processing by the email management module 【0045】 Step 1: 【0046】 The server connects to an external database and retrieves new e-mail messages from the user's email account using the IMAP protocol. 【0047】 Step 2: 【0048】 The server analyzes the content of the messages it receives using natural language processing (NLP) techniques and ranks their importance based on keywords, sender importance, history, and other factors. 【0049】 Step 3: 【0050】 The server lists the ranked messages in order of importance and sends them to the terminal along with their metadata. 【0051】 Step 4: 【0052】 The system visually displays a list of messages received by the device to the user, highlighting important emails with a prominent color or other visual aids. 【0053】 Processing of the scheduling module 【0054】 Step 1: 【0055】 The device synchronizes with the user's digital calendar and retrieves existing schedule data. 【0056】 Step 2: 【0057】 The server analyzes the acquired calendar data to calculate available time slots. It also queries the calendar information of other participants to generate optimal meeting time suggestions. 【0058】 Step 3: 【0059】 The server sends the calculated candidate dates and times to the terminal and presents them to the user as multiple options. 【0060】 Step 4: 【0061】 The user operates the device to select the date and time they deem optimal, confirms the selected schedule, and sends it to the server. 【0062】 Task management module processing 【0063】 Step 1: 【0064】 The user enters a new task on their device and sets attributes such as the task name, due date, and importance level. 【0065】 Step 2: 【0066】 The server organizes the entered task information and determines its priority within the task list based on importance and deadline. 【0067】 Step 3: 【0068】 The server sends a task list reflecting the priorities to the terminal and displays it to the user. 【0069】 Step 4: 【0070】 When a user updates the task progress, the device sends that information to the server, which monitors the progress and issues reminders as needed. 【0071】 (Example 1) 【0072】 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." 【0073】 In today's information environment, users must manage vast amounts of electronic communication information and numerous schedules and tasks simultaneously, thus requiring efficient information processing. In particular, it is crucial to instantly assess the importance of electronic communication information, maintain optimal schedules, and appropriately prioritize tasks. However, manually managing individual pieces of information is time-consuming and labor-intensive, necessitating automation technology. 【0074】 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. 【0075】 In this invention, the server includes means for an information processing device to acquire electronic communication information from external storage, means for analyzing the electronic communication information, determining its importance using natural language processing, and highlighting the display based on priority, and means for visually presenting the analysis results to the user device to encourage a quick response. This enables the user to efficiently process complex information, avoid overlooking important information, and perform optimal schedule management and task prioritization. 【0076】 An "information processing device" is a device that has the ability to acquire data from external storage and analyze and classify it. 【0077】 "External memory" refers to storage devices such as databases and storage that can be accessed by information processing equipment. 【0078】 "Electronic communication information" is a general term for information transmitted using electronic communication methods such as email and messages. 【0079】 "Natural language processing" is a technology that allows computers to understand, analyze, and respond to everyday human language. 【0080】 "Importance" refers to the degree of priority or urgency determined based on the content of electronic communication information. 【0081】 "User equipment" refers to devices that users directly operate to display or input information. 【0082】 "Analysis results" refer to conclusions or judgments obtained by information processing equipment through the analysis of electronic communication information. 【0083】 "Visual presentation" refers to displaying information in a format that appeals to the user's visual sense. 【0084】 "Prompt response" refers to taking quick and appropriate action in response to important information. 【0085】 This invention is a system for achieving efficient information processing. Its main components are a server, a terminal, and a user. 【0086】 The server, as an information processing device, acquires electronic communication information from external storage. This process uses the IMAP protocol to retrieve data from storage devices such as external databases. The acquired electronic communication information is then analyzed within the server using natural language processing (NLP) techniques. Specifically, open-source NLP libraries such as NLTK and spaCy are used for analysis. Here, the importance of the information is determined through natural language processing, and important messages are processed with priority. The results of this analysis are then sent to the user's terminal. 【0087】 The device visually presents the analyzed electronic communication information to the user. The user interface highlights high-priority emails in red, enabling the user to respond quickly. The device also synchronizes the user's schedule information with a cloud calendar system and sends data to a server to help create optimal schedules. 【0088】 The user enters the necessary task information on their device. This task information is sent to the server, where priority is determined based on importance and deadline. The result of this determination is sent to the device, and the progress status is updated in real time. The user then checks the progress from their device and receives reminders from the server as needed. 【0089】 For example, if a user enters a task with a deadline that needs to be completed by tomorrow, the system will set that task to a high priority and display a reminder notification on the device before the deadline. Furthermore, the AI ​​model may be provided with prompts such as, "Explain the outline of a system that analyzes important messages from the user's email account and supports scheduling and task management optimization." In this way, the system aims to significantly improve the user's work efficiency. 【0090】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0091】 Step 1: 【0092】 The server retrieves electronic communication information from external storage. Using the user's email account information as input, the server retrieves messages from the email server using the IMAP protocol. The messages retrieved through this procedure are output as data to be used in subsequent parsing steps. 【0093】 Step 2: 【0094】 The system analyzes electronic communication information acquired by the server using natural language processing (NLP) techniques. The input data consists of electronic communication information, and NLP libraries (e.g., NLTK and spaCy) are used to tokenize messages, extract specific keywords, and understand the context. As a result of the analysis, the importance of each message is quantified, and prioritized information is output. 【0095】 Step 3: 【0096】 The server sends the analysis results to the terminal. The input information is the analysis results obtained in the previous step, and by sending it to the terminal, it is made into a format that the user can view. This procedure also adds information to highlight messages of high importance. The output displays messages in a format that the user can visually view on the terminal. 【0097】 Step 4: 【0098】 The device synchronizes with the user's calendar data and sends it to the server. The input is the user's schedule information, and the device retrieves the data using APIs such as those for cloud calendar systems. The server then receives the output as basic data for optimal scheduling. 【0099】 Step 5: 【0100】 The server analyzes the user's calendar information and suggests the optimal meeting schedule. The input is the schedule information of all participants, which the server analyzes to calculate the optimal availability. The output is the suggested meeting date and time, which the user can check via their terminal. 【0101】 Step 6: 【0102】 The user enters the necessary task information on the terminal. The input data is the task details, which the terminal accepts and sends to the server. The output of this process is a dataset used for task management. 【0103】 Step 7: 【0104】 The server determines priority based on the received task information, considering importance and deadline. Input is detailed task information and deadlines; the server analyzes this data to evaluate importance. Output is a prioritized task list, which the terminal presents to the user. 【0105】 Step 8: 【0106】 The device displays task progress to the user and sends reminders as needed. The input data is prioritized task information, which the device outputs via progress bars and reminders. This allows the user to track task progress and make adjustments to meet deadlines. 【0107】 (Application Example 1) 【0108】 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." 【0109】 In today's world, the amount of personal electronic communication data, activity schedules, and work information is increasing, making it difficult to manage them efficiently and effectively. Furthermore, there is a need to accurately grasp important information and provide timely notifications and prioritize accordingly. However, conventional information processing systems fail to adequately address these challenges, while increasing the burden on users. 【0110】 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. 【0111】 In this invention, the server includes means for an information processing device to acquire electronic communication data from an external storage device, means for analyzing the electronic communication data and classifying it based on priority, and means for visually and audibly presenting the classified electronic communication data to a user terminal. This enables users to efficiently manage information in their daily lives and to instantly grasp important information. 【0112】 An "information processing device" is a computer system used to acquire, analyze, and classify electronic communication data. 【0113】 "External storage device" refers to a device or medium for storing electronic communication data or electronic schedule data, and includes internet clouds and databases. 【0114】 "Electronic communication data" is a general term for information sent and received via email or messaging applications. 【0115】 "Priority" is an indicator that ranks information based on its importance and urgency. 【0116】 A "user terminal" is a device used by a user to receive and manipulate information, and includes smartphones and computers. 【0117】 "Visual and auditory presentation" refers to displaying information on a screen or providing audio notifications. 【0118】 "Activity schedule" refers to information that records a user's schedule and plans. 【0119】 A "generative AI model" is a model that uses artificial intelligence to optimize user assistance. 【0120】 This invention is a system that efficiently manages users' electronic communication data, activity schedules, and business information by utilizing the program of an information processing device. The system begins with the information processing device acquiring electronic communication data from an external storage device and processing it. For processing, natural language processing libraries such as NLTK and spaCy are used to analyze the data and classify it based on its importance. 【0121】 The server utilizes gTTS (Google® Text-to-Speech) to present the analyzed information visually and audibly to the user's device. This allows users to instantly recognize important messages and respond more effectively. The server also manages the user's electronic schedule data and uses the Google Calendar API to provide optimal suggestions that take into account the activity schedules of other users. By using a generative AI model, more accurate schedule management and task prioritization are achieved based on the user's behavior and past data. 【0122】 For example, if a user requests a reminder to prepare materials for next week's meeting, the server will gather relevant information and notify the user's device of the most appropriate reminder via voice and visual means. This ensures the user completes important tasks without forgetting. 【0123】 As an example of a prompt, the AI ​​model can be given the instruction, "Think of ways to instantly notify users of important emails and help them complete tasks on schedule, even when they are busy," thereby optimizing user assistance. 【0124】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0125】 Step 1: 【0126】 The server retrieves electronic communication data from an external storage device. Specifically, the server logs into the user's email account, searches for newly received messages, and saves them to the database. The input is new email messages, and the output is electronic communication data ready for analysis. 【0127】 Step 2: 【0128】 The server analyzes the acquired electronic communication data using natural language processing libraries (such as NLTK or spaCy) and performs classification based on importance. Specifically, it extracts keywords from the subject and content of each email and determines their importance. The input is raw electronic communication data, and the output is classified data with assigned importance levels. 【0129】 Step 3: 【0130】 The server transmits classified electronic communication data to the user terminal and generates audio files using gTTS for visual and auditory presentation. Specifically, it highlights important messages and converts text to speech to notify the user. The input is classified data, and the output is visual and auditory information notified to the user. 【0131】 Step 4: 【0132】 The server retrieves the user's electronic schedule data via the Google Calendar API and generates suggestions for optimizing the schedule. Specifically, it automatically checks the availability of multiple participants and suggests the optimal meeting time. The input is calendar data, and the output is the suggested optimal schedule. 【0133】 Step 5: 【0134】 The server utilizes a generative AI model to analyze the user's past behavior data and automatically determine task priorities. Specifically, the AI ​​model analyzes training data based on prompt text and provides the user with the most relevant information. The input consists of user history data and prompt text, and the output is a prioritized task list. 【0135】 Step 6: 【0136】 Users view the information and suggestions they receive and add or edit tasks as needed. Specifically, they check schedules and manage task checkboxes on their devices. Input is system-generated suggestions, while output is the user-adjusted schedule and tasks. 【0137】 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. 【0138】 This invention is a system that, in addition to managing electronic communication messages, scheduling, and task management, recognizes and utilizes user emotions for information processing. It incorporates an emotion engine to provide more flexible and accurate support according to the user's situation and emotions. 【0139】 Emotion recognition and email management module 【0140】 The server receives data such as voice, facial expressions, and text input from the user's device and analyzes this data to recognize the user's emotions in real time. If the emotion engine detects a specific emotion, such as stress or anxiety, the server refrains from sending notifications for high-priority emails and postpones notifications until the user is ready to check their emails. Conversely, if the server detects that the user is relaxed, it automatically switches to a setting that promptly notifies important emails. This makes it possible to optimize how messages are received according to the user's psychological state. 【0141】 Schedule adjustment module 【0142】 The emotion engine takes the user's mood into account and adjusts the suggested schedule options accordingly. For example, if the user is experiencing excessive stress, the system will suggest postponing meetings or appointments whenever possible. The user can then check their schedule from their device and select and confirm the optimal time suggested based on their emotional data. This enables schedule management that reduces the user's psychological burden. 【0143】 Task management module 【0144】 The emotion engine analyzes the user's current emotional state and reflects this in task management. For example, if the user is experiencing anxiety or stress, it re-evaluates task priorities and shifts the focus from long-term tasks to short-term, simpler ones, reducing the burden on the user to complete tasks. The device displays these priority changes to the user in real time, supporting smooth task progress. 【0145】 In this way, by using an emotion engine, it becomes possible to provide multifaceted work support tailored to the user's situation, realizing a more human-centered information processing system. This system is expected to achieve both improved work efficiency and the maintenance of the user's psychological well-being. 【0146】 The following describes the processing flow. 【0147】 Processing flow incorporating an emotion engine 【0148】 Emotion recognition and email management module 【0149】 Step 1: 【0150】 The device collects the user's voice and facial expression data and sends it to the server as input data for emotion recognition. 【0151】 Step 2: 【0152】 The server uses an emotion engine to analyze the received data and recognize the user's current emotional state. 【0153】 Step 3: 【0154】 The server customizes notifications based on the user's emotional state. For example, if a user is stressed, it will refrain from sending notifications for high-priority emails. 【0155】 Step 4: 【0156】 The device displays an email list to the user that reflects their emotion-based notification settings. This allows the user to check their emails as needed. 【0157】 Schedule adjustment module 【0158】 Step 1: 【0159】 The device sends the user's calendar information and sentiment data to the server. 【0160】 Step 2: 【0161】 The server uses an emotion engine to analyze the user's mood and current schedule. 【0162】 Step 3: 【0163】 The server adjusts the schedule options to match the user's emotional state and selects the most suitable option. 【0164】 Step 4: 【0165】 The device displays suggested schedule options, and the user selects and confirms the date and time they deem most suitable. 【0166】 Task management module 【0167】 Step 1: 【0168】 The user enters task information into their device and sends emotional data to the server along with it. 【0169】 Step 2: 【0170】 The server analyzes task information and emotional state to re-evaluate task priorities. 【0171】 Step 3: 【0172】 The server organizes the priorities re-evaluated by the emotion engine into a task list and sends it to the terminal. 【0173】 Step 4: 【0174】 The system displays a task list to the user with updated device information, supporting them in reviewing the list and proceeding with tasks. 【0175】 This process allows systems incorporating an emotion engine to adjust work notifications, schedules, and task management based on the user's emotional state. 【0176】 (Example 2) 【0177】 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." 【0178】 Conventional information processing systems have been unable to provide flexible information based on the user's psychological state, which can negatively impact user work efficiency and psychological health. Furthermore, prioritizing tasks and managing time under stressful or anxious conditions is difficult, placing a significant burden on users. A new system is needed to address these challenges. 【0179】 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. 【0180】 In this invention, the server includes means for an information processing device to acquire electronic communication data from an external storage medium, means for analyzing the electronic communication data using an emotion recognition algorithm and adjusting notification timing according to the user's emotional state, and means for dynamically changing the priority of the task list using the emotion recognition results. This enables information provision and task management that are adapted to the user's emotional state. 【0181】 An "information processing device" is a computer system that collects and analyzes data and provides information useful to users. 【0182】 An "external storage medium" is an external data storage device that stores data and allows access as needed. 【0183】 "Electronic communication data" refers to a collection of digital data transmitted and received in the form of text, audio, images, etc. 【0184】 An "emotion recognition algorithm" is a mathematical method that analyzes voice, facial expressions, and text data to evaluate a user's emotions and psychological state. 【0185】 "Notification timing" refers to the optimal time schedule for informing the user of incoming electronic communication data. 【0186】 A "task list" is a list of tasks and activities that a user needs to perform. 【0187】 "Dynamically changing priorities" means updating the order of importance of tasks and messages in real time according to the situation. 【0188】 "Providing information adapted to the user's emotional state" refers to providing information and notifications at an appropriate time and in an appropriate format, taking into account the user's emotions and psychological burden. 【0189】 This invention is an information processing system that dynamically adjusts the management of electronic communication data and the prioritization of tasks according to the user's emotional state. The system mainly consists of three elements: a server, a terminal, and a user. 【0190】 Server operation: 【0191】 The server operates as an "information processing device," acquiring electronic communication data from external storage media. The server incorporates an emotion recognition algorithm, which analyzes the received data to evaluate the user's emotional state in real time. For this analysis, voice, facial expressions, and text data are used as input. Software such as "data analysis platforms" and "emotion analysis tools" are also used when necessary. 【0192】 Terminal role: 【0193】 The terminal functions as the user interface, displaying information and instructions sent from the server in real time. It operates based on instructions from the server to ensure that appropriate information is provided in a timely manner, taking into account the user's emotional state. Email notifications, schedule suggestions, and task priorities are displayed on the terminal's screen, allowing the user to respond quickly. 【0194】 User involvement: 【0195】 Users can receive information provided by the system through their own devices and adjust their schedules and tasks as needed. For example, if the server suggests changing the meeting time, the user can optimize their workflow by selecting that option. 【0196】 Specific example: 【0197】 If the server detects that a user is experiencing stress, important email notifications will be temporarily suppressed. When the user's emotional state improves and they are deemed relaxed, the server will resume sending notifications. This allows users to process information when they are mentally at ease. 【0198】 Example of a prompt: 【0199】 An example of input when using a generative AI model is to use the prompt, "If the user is feeling stressed, please tell me how to adjust their schedule." 【0200】 In this way, the system can provide information that takes into account the user's psychological and emotional state. This simultaneously achieves two important effects: improved work efficiency and reduced psychological burden. 【0201】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0202】 Step 1: 【0203】 The server acquires electronic communication data from an external storage medium. This data consists of audio files, text messages, and image data. The server performs this task using a "data acquisition unit" and sends the acquired data to a "data analysis module." Through this process, user input information is collected by the server. 【0204】 Step 2: 【0205】 The server analyzes acquired electronic communication data through a data analysis module using an emotion recognition algorithm. Based on the input voice and text data, it operates an "emotion analysis engine" to identify the user's emotional state. This calculation outputs data indicating the user's emotional state. Specifically, it analyzes the tone of the voice data and determines whether it indicates a stressed state. 【0206】 Step 3: 【0207】 The server uses the output obtained from sentiment analysis to adjust the timing of notifications. Based on the emotional state, the "notification control module" sets the priority of notifications for electronic communication data. For example, if a high-stress state is detected, important email notifications will be temporarily suppressed. This output ensures that notifications are delivered in a well-organized manner. 【0208】 Step 4: 【0209】 The terminal receives instructions from the server and displays information to the user based on their emotional state. It receives the output of the notification control module as input and displays it visually in the user interface. The information the user receives is tailored to their psychological state; specifically, email notifications may be suppressed until the server instructs it to resume notifications. 【0210】 Step 5: 【0211】 Users can use their devices to check optimal times and priority tasks, and make adjustments as needed. Based on information entered from their devices, they can review their schedule and reprioritize tasks. Specifically, they can choose whether to accept a suggestion to "change the meeting time." This results in the most efficient workflow. 【0212】 (Application Example 2) 【0213】 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". 【0214】 In today's information society, managing electronic communication messages, tasks, and schedules is essential to workers' daily lives and work, but the impact of this information on the user's psychological state is often not considered. As a result, users may experience increased stress and anxiety, potentially leading to decreased performance. This invention aims to optimize the management of electronic communication messages, schedules, and tasks while taking the user's emotional state into account, thereby reducing mental burden. 【0215】 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. 【0216】 In this invention, the server includes means for an information processing device to acquire electronic communication messages from an external database, means for analyzing the content of the electronic communication messages and classifying them based on priority, means for adjusting the timing of notifications according to the user's psychological state, means for displaying the classified electronic communication messages on the user's device, means for analyzing the user's emotional state, means for adjusting electronic calendar data based on the user's emotional state, and means for resetting the priority of task information according to the user's emotional state. This makes it possible to optimize the management of electronic communication messages, tasks, and schedules while reducing the psychological burden on the user. 【0217】 An "information processing device" is a system consisting of hardware and software for collecting, analyzing, and managing data. 【0218】 An "external database" is an external data storage device that an information processing device accesses to retrieve data. 【0219】 "Electronic communication messages" refer to messages that are sent or received using electronic means, including emails and chat messages. 【0220】 "User device" refers to an electronic device used by a user, such as a computer, smartphone, or tablet. 【0221】 "User's psychological state" refers to the user's emotions and mental state, including stress levels and relaxed states. 【0222】 "Adjusting notification timing" refers to the act of changing when specific information or messages are sent to a user, depending on the user's situation and circumstances. 【0223】 "Analyzing emotional states" is the process of analyzing acquired data to identify the user's current emotions and psychological state. 【0224】 "Adjusting electronic calendar data" refers to the process of reviewing schedules and appointments based on emotional states and rearranging them to optimal times. 【0225】 "Reprioritizing task information" is the act of reordering given tasks based on their importance and urgency. 【0226】 The system for implementing this invention is realized through a terminal such as a home robot. The server utilizes cameras and microphones mounted on the robot to collect various sensory data, including voice and facial expressions. The data obtained is then used to analyze the user's emotional state in real time through an emotion recognition module. 【0227】 The server adjusts the timing of electronic communication messages based on analyzed emotional information. If a user is experiencing stress, it may delay the notification of important messages. Conversely, if the server detects that the user is relaxed, it can immediately notify them of important messages. 【0228】 Furthermore, the server adjusts electronic calendar data based on the user's emotional state through its scheduling function. If a user is experiencing excessive stress, it can suggest postponing meetings or events. 【0229】 In addition, the server utilizes task management functions to reset task priorities according to the user's emotional state. This allows users to work efficiently while reducing psychological burden. 【0230】 For example, if a user working from home is detected as stressed, the robot might suggest, "Why don't you take a break for a while? I'll play some relaxing music." 【0231】 An example of a prompt message is, "Explore ways to offer relaxation suggestions to users when they feel stressed." 【0232】 The entire system, through information processing based on the user's emotional state, will thus provide more humane support for daily life. As a result, it will contribute to maintaining psychological health and improving work efficiency. 【0233】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0234】 Step 1: 【0235】 The server acquires voice and facial expression data from sensors installed in the home robot. It receives signals from the sensors as input and converts them into digital data. The output is voice and facial expression data formatted in the format necessary for emotion analysis. Specifically, it converts the voice into text using speech recognition software and organizes the facial expression data using image processing algorithms. 【0236】 Step 2: 【0237】 The server runs an emotion recognition model based on the acquired voice and facial expression data. This process involves inputting data into the emotion analysis model to identify the user's emotional state (e.g., stress, relaxation). The output is a numerical or qualitative evaluation indicating the user's emotional state. Generative AI models are used to perform data analysis quickly and accurately. 【0238】 Step 3: 【0239】 The server automatically adjusts the notification schedule for electronic communication messages based on the user's emotional state. The input consists of the analyzed emotional state and a list of unread messages. Based on this, it determines the priority and timing of notifications and outputs an appropriate notification schedule. Specifically, it applies an algorithm to delay notifications for users experiencing stress. 【0240】 Step 4: 【0241】 The server retrieves schedule management data and optimizes the schedule based on the user's emotional state. The inputs are the retrieved electronic calendar data and the user's emotional state. If the user is in a high-stress state, the server automatically adjusts the schedule to reduce the burden and outputs a new schedule. It semi-automatically presents the user with suggested schedule changes. 【0242】 Step 5: 【0243】 The server retrieves task information and reprioritizes them based on the user's emotional state. The input is the current task information and the analyzed emotional state. The output is a list of re-evaluated task priorities. In particular, if the user is feeling anxious, calculations are performed to increase the importance of short-term tasks. 【0244】 Step 6: 【0245】 The device provides feedback to the user based on previous analysis and adjustment results. It receives schedule suggestions, task priorities, and notification schedules as input, and displays them in a user-friendly interface. The output is specific support information that allows the user to actually adjust their actions. This is communicated through voice guidance and on-screen notifications. 【0246】 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. 【0247】 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. 【0248】 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. 【0249】 [Second Embodiment] 【0250】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0251】 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. 【0252】 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). 【0253】 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. 【0254】 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. 【0255】 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). 【0256】 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. 【0257】 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. 【0258】 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. 【0259】 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. 【0260】 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. 【0261】 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". 【0262】 This invention is implemented as an information processing system for efficiently managing electronic communication messages, scheduling, and managing tasks. 【0263】 Email management module 【0264】 The server connects to an external database to retrieve electronic messages from the user's email account. The retrieved messages are analyzed within the server using natural language processing and prioritized based on importance. The terminal receives the analysis results and displays them visually to the user. Specifically, important emails are highlighted in red to allow the user to quickly identify them. The user can then open these emails on the terminal and take immediate action. 【0265】 Schedule adjustment module 【0266】 The device synchronizes the user's calendar data, and the server analyzes that data. Based on the collected data, the server suggests the most suitable meeting schedule. For example, for a meeting with three or more participants, it can check everyone's calendars and suggest available time slots. The user can then select from the multiple suggested dates and times presented on the device and register the chosen schedule back into their calendar. 【0267】 Task management module 【0268】 When a user enters task information into their device, the server analyzes the information and determines its priority, taking into account its importance and deadline. The device displays this information to the user and updates the progress in real time. For example, if a user registers a project that needs to be completed by the weekend, the server will prioritize that task over other tasks and send an automatic reminder through the device before the deadline. 【0269】 By using this system, users can significantly improve their work efficiency, respond quickly to important information, maintain optimal schedules, and ensure all tasks are completed on time. This is expected to enhance business productivity and strengthen competitiveness. 【0270】 The following describes the processing flow. 【0271】 Processing of Email Management Module 【0272】 Step 1: 【0273】 The server connects to an external database and retrieves new electronic communication messages from the user's email account using the IMAP protocol. 【0274】 Step 2: 【0275】 The server analyzes the content of the retrieved messages using natural language processing (NLP) technology and ranks the importance based on keywords, sender importance, history, etc. 【0276】 Step 3: 【0277】 The server lists the ranked messages in descending order of importance and sends them to the terminal together with the metadata. 【0278】 Step 4: 【0279】 The terminal visually displays the received message list to the user and performs highlighting such as coloring important emails prominently. 【0280】 Processing of Schedule Adjustment Module 【0281】 Step 1: 【0282】 The terminal synchronizes with the user's digital calendar and retrieves existing schedule data. 【0283】 Step 2: 【0284】 The server analyzes the retrieved calendar data, calculates free time, and also queries the calendar information of other participants to generate optimal meeting candidate times. 【0285】 Step 3: 【0286】 The server transmits the candidate date and time calculated to the terminal and proposes them to the user as multiple options. 【0287】 Step 4: 【0288】 The user operates the terminal to select the date and time considered to be optimal, determines the selected schedule, and transmits it to the server. 【0289】 Processing of the task management module 【0290】 Step 1: 【0291】 The user inputs a new task on the terminal and sets attributes such as the task name, deadline, and importance. 【0292】 Step 2: 【0293】 The server organizes the input task information and determines the priority within the task list based on the importance and deadline. 【0294】 Step 3: 【0295】 The server transmits the task list reflecting the priority to the terminal and displays it to the user. 【0296】 Step 4: 【0297】 When the user updates the progress of the task, the terminal transmits the information to the server, and the server monitors the progress and issues a reminder as necessary. 【0298】 (Example 1) 【0299】 Next, Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal". 【0300】 In a modern information environment, users are required to efficiently process information because they have to manage a large amount of electronic communication information and numerous schedules and tasks simultaneously. In particular, it is important to instantaneously judge the importance of electronic communication information, maintain an optimal schedule, and appropriately set the priority of tasks. However, since it takes a great deal of time and effort to manually manage individual information, a technology for automating this is necessary. 【0301】 The specific processing by the specific processing unit 290 of the data processing device 12 in Example 1 is realized by the following respective means. 【0302】 In this invention, the server includes means for an information processing device to acquire electronic communication information from an external memory, means for analyzing the electronic communication information, determining the importance using natural language processing, and emphasizing the display based on the priority, and means for visually presenting the analysis result to a user device and prompting a prompt response. Thereby, it becomes possible for the user to streamline the processing of complicated information and perform optimal schedule management and task prioritization without overlooking important information. 【0303】 An "information processing device" is a device having the ability to acquire data from an external memory and analyze and classify it. 【0304】 An "external memory" refers to a storage device such as a database or storage that can be accessed by an information processing device. 【0305】 "Electronic communication information" is a general term for information transmitted using electronic communication means such as emails and messages. 【0306】 "Natural language processing" is a technology by which a computer understands, analyzes, and responds to human daily language. 【0307】 "Importance" is the degree of priority or urgency judged based on the content of electronic communication information. 【0308】 "User equipment" refers to devices that users directly operate to display or input information. 【0309】 "Analysis results" refer to conclusions or judgments obtained by information processing equipment through the analysis of electronic communication information. 【0310】 "Visual presentation" refers to displaying information in a format that appeals to the user's visual sense. 【0311】 "Prompt response" refers to taking quick and appropriate action in response to important information. 【0312】 This invention is a system for achieving efficient information processing. Its main components are a server, a terminal, and a user. 【0313】 The server, as an information processing device, acquires electronic communication information from external storage. This process uses the IMAP protocol to retrieve data from storage devices such as external databases. The acquired electronic communication information is then analyzed within the server using natural language processing (NLP) techniques. Specifically, open-source NLP libraries such as NLTK and spaCy are used for analysis. Here, the importance of the information is determined through natural language processing, and important messages are processed with priority. The results of this analysis are then sent to the user's terminal. 【0314】 The device visually presents the analyzed electronic communication information to the user. The user interface highlights high-priority emails in red, enabling the user to respond quickly. The device also synchronizes the user's schedule information with a cloud calendar system and sends data to a server to help create optimal schedules. 【0315】 The user enters the necessary task information on their device. This task information is sent to the server, where priority is determined based on importance and deadline. The result of this determination is sent to the device, and the progress status is updated in real time. The user then checks the progress from their device and receives reminders from the server as needed. 【0316】 For example, if a user enters a task with a deadline that needs to be completed by tomorrow, the system will set that task to a high priority and display a reminder notification on the device before the deadline. Furthermore, the AI ​​model may be provided with prompts such as, "Explain the outline of a system that analyzes important messages from the user's email account and supports scheduling and task management optimization." In this way, the system aims to significantly improve the user's work efficiency. 【0317】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0318】 Step 1: 【0319】 The server retrieves electronic communication information from external storage. Using the user's email account information as input, the server retrieves messages from the email server using the IMAP protocol. The messages retrieved through this procedure are output as data to be used in subsequent parsing steps. 【0320】 Step 2: 【0321】 The system analyzes electronic communication information acquired by the server using natural language processing (NLP) techniques. The input data consists of electronic communication information, and NLP libraries (e.g., NLTK and spaCy) are used to tokenize messages, extract specific keywords, and understand the context. As a result of the analysis, the importance of each message is quantified, and prioritized information is output. 【0322】 Step 3: 【0323】 The server sends the analysis results to the terminal. The input information is the analysis results obtained in the previous step, and by sending it to the terminal, it is made into a format that the user can view. This procedure also adds information to highlight messages of high importance. The output displays messages in a format that the user can visually view on the terminal. 【0324】 Step 4: 【0325】 The device synchronizes with the user's calendar data and sends it to the server. The input is the user's schedule information, and the device retrieves the data using APIs such as those for cloud calendar systems. The server then receives the output as basic data for optimal scheduling. 【0326】 Step 5: 【0327】 The server analyzes the user's calendar information and suggests the optimal meeting schedule. The input is the schedule information of all participants, which the server analyzes to calculate the optimal availability. The output is the suggested meeting date and time, which the user can check via their terminal. 【0328】 Step 6: 【0329】 The user enters the necessary task information on the terminal. The input data is the task details, which the terminal accepts and sends to the server. The output of this process is a dataset used for task management. 【0330】 Step 7: 【0331】 The server determines priority based on the received task information, considering importance and deadline. Input is detailed task information and deadlines; the server analyzes this data to evaluate importance. Output is a prioritized task list, which the terminal presents to the user. 【0332】 Step 8: 【0333】 The device displays task progress to the user and sends reminders as needed. The input data is prioritized task information, which the device outputs via progress bars and reminders. This allows the user to track task progress and make adjustments to meet deadlines. 【0334】 (Application Example 1) 【0335】 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." 【0336】 In today's world, the amount of personal electronic communication data, activity schedules, and work information is increasing, making it difficult to manage them efficiently and effectively. Furthermore, there is a need to accurately grasp important information and provide timely notifications and prioritize accordingly. However, conventional information processing systems fail to adequately address these challenges, while increasing the burden on users. 【0337】 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. 【0338】 In this invention, the server includes means for an information processing device to acquire electronic communication data from an external storage device, means for analyzing the electronic communication data and classifying it based on priority, and means for visually and audibly presenting the classified electronic communication data to a user terminal. This enables users to efficiently manage information in their daily lives and to instantly grasp important information. 【0339】 An "information processing device" is a computer system used to acquire, analyze, and classify electronic communication data. 【0340】 "External storage device" refers to a device or medium for storing electronic communication data or electronic schedule data, and includes internet clouds and databases. 【0341】 "Electronic communication data" is a general term for information sent and received via email or messaging applications. 【0342】 "Priority" is an indicator that ranks information based on its importance and urgency. 【0343】 A "user terminal" is a device used by a user to receive and manipulate information, and includes smartphones and computers. 【0344】 "Visual and auditory presentation" refers to displaying information on a screen or providing audio notifications. 【0345】 "Activity schedule" refers to information that records a user's schedule and plans. 【0346】 A "generative AI model" is a model that uses artificial intelligence to optimize user assistance. 【0347】 This invention is a system that efficiently manages users' electronic communication data, activity schedules, and business information by utilizing the program of an information processing device. The system begins with the information processing device acquiring electronic communication data from an external storage device and processing it. For processing, natural language processing libraries such as NLTK and spaCy are used to analyze the data and classify it based on its importance. 【0348】 The server utilizes gTTS (Google Text-to-Speech) to present the analyzed information visually and audibly to the user's device. This allows users to instantly recognize important messages and respond more effectively. The server also manages the user's electronic schedule data and uses the Google Calendar API to provide optimal suggestions that take into account the activity schedules of other users. By using a generative AI model, more accurate schedule management and task prioritization are achieved based on the user's behavior and past data. 【0349】 For example, if a user requests a reminder to prepare materials for next week's meeting, the server will gather relevant information and notify the user's device of the most appropriate reminder via voice and visual means. This ensures the user completes important tasks without forgetting. 【0350】 As an example of a prompt, the AI ​​model can be given the instruction, "Think of ways to instantly notify users of important emails and help them complete tasks on schedule, even when they are busy," thereby optimizing user assistance. 【0351】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0352】 Step 1: 【0353】 The server retrieves electronic communication data from an external storage device. Specifically, the server logs into the user's email account, searches for newly received messages, and saves them to the database. The input is new email messages, and the output is electronic communication data ready for analysis. 【0354】 Step 2: 【0355】 The server analyzes the acquired electronic communication data using natural language processing libraries (such as NLTK or spaCy) and performs classification based on importance. Specifically, it extracts keywords from the subject and content of each email and determines their importance. The input is raw electronic communication data, and the output is classified data with assigned importance levels. 【0356】 Step 3: 【0357】 The server transmits classified electronic communication data to the user terminal and generates audio files using gTTS for visual and auditory presentation. Specifically, it highlights important messages and converts text to speech to notify the user. The input is classified data, and the output is visual and auditory information notified to the user. 【0358】 Step 4: 【0359】 The server retrieves the user's electronic schedule data via the Google Calendar API and generates suggestions for optimizing the schedule. Specifically, it automatically checks the availability of multiple participants and suggests the optimal meeting time. The input is calendar data, and the output is the suggested optimal schedule. 【0360】 Step 5: 【0361】 The server utilizes a generative AI model to analyze the user's past behavior data and automatically determine task priorities. Specifically, the AI ​​model analyzes training data based on prompt text and provides the user with the most relevant information. The input consists of user history data and prompt text, and the output is a prioritized task list. 【0362】 Step 6: 【0363】 Users view the information and suggestions they receive and add or edit tasks as needed. Specifically, they check schedules and manage task checkboxes on their devices. Input is system-generated suggestions, while output is the user-adjusted schedule and tasks. 【0364】 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. 【0365】 This invention is a system that, in addition to managing electronic communication messages, scheduling, and task management, recognizes and utilizes user emotions for information processing. It incorporates an emotion engine to provide more flexible and accurate support according to the user's situation and emotions. 【0366】 Emotion recognition and email management module 【0367】 The server receives data such as voice, facial expressions, and text input from the user's device and analyzes this data to recognize the user's emotions in real time. If the emotion engine detects a specific emotion, such as stress or anxiety, the server refrains from sending notifications for high-priority emails and postpones notifications until the user is ready to check their emails. Conversely, if the server detects that the user is relaxed, it automatically switches to a setting that promptly notifies important emails. This makes it possible to optimize how messages are received according to the user's psychological state. 【0368】 Schedule adjustment module 【0369】 The emotion engine takes the user's mood into account and adjusts the suggested schedule options accordingly. For example, if the user is experiencing excessive stress, the system will suggest postponing meetings or appointments whenever possible. The user can then check their schedule from their device and select and confirm the optimal time suggested based on their emotional data. This enables schedule management that reduces the user's psychological burden. 【0370】 Task management module 【0371】 The emotion engine analyzes the user's current emotional state and reflects this in task management. For example, if the user is experiencing anxiety or stress, it re-evaluates task priorities and shifts the focus from long-term tasks to short-term, simpler ones, reducing the burden on the user to complete tasks. The device displays these priority changes to the user in real time, supporting smooth task progress. 【0372】 In this way, by using an emotion engine, it becomes possible to provide multifaceted work support tailored to the user's situation, realizing a more human-centered information processing system. This system is expected to achieve both improved work efficiency and the maintenance of the user's psychological well-being. 【0373】 The following describes the processing flow. 【0374】 Processing flow incorporating an emotion engine 【0375】 Emotion recognition and email management module 【0376】 Step 1: 【0377】 The device collects the user's voice and facial expression data and sends it to the server as input data for emotion recognition. 【0378】 Step 2: 【0379】 The server uses an emotion engine to analyze the received data and recognize the user's current emotional state. 【0380】 Step 3: 【0381】 The server customizes notifications based on the user's emotional state. For example, if a user is stressed, it will refrain from sending notifications for high-priority emails. 【0382】 Step 4: 【0383】 The device displays an email list to the user that reflects their emotion-based notification settings. This allows the user to check their emails as needed. 【0384】 Schedule adjustment module 【0385】 Step 1: 【0386】 The device sends the user's calendar information and sentiment data to the server. 【0387】 Step 2: 【0388】 The server uses an emotion engine to analyze the user's mood and current schedule. 【0389】 Step 3: 【0390】 The server adjusts the schedule options to match the user's emotional state and selects the most suitable option. 【0391】 Step 4: 【0392】 The device displays suggested schedule options, and the user selects and confirms the date and time they deem most suitable. 【0393】 Task management module 【0394】 Step 1: 【0395】 The user enters task information into their device and sends emotional data to the server along with it. 【0396】 Step 2: 【0397】 The server analyzes task information and emotional state to re-evaluate task priorities. 【0398】 Step 3: 【0399】 The server organizes the priorities re-evaluated by the emotion engine into a task list and sends it to the terminal. 【0400】 Step 4: 【0401】 The system displays a task list to the user with updated device information, supporting them in reviewing the list and proceeding with tasks. 【0402】 This process allows systems incorporating an emotion engine to adjust work notifications, schedules, and task management based on the user's emotional state. 【0403】 (Example 2) 【0404】 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". 【0405】 Conventional information processing systems have been unable to provide flexible information based on the user's psychological state, which can negatively impact user work efficiency and psychological health. Furthermore, prioritizing tasks and managing time under stressful or anxious conditions is difficult, placing a significant burden on users. A new system is needed to address these challenges. 【0406】 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. 【0407】 In this invention, the server includes means for an information processing device to acquire electronic communication data from an external storage medium, means for analyzing the electronic communication data using an emotion recognition algorithm and adjusting notification timing according to the user's emotional state, and means for dynamically changing the priority of the task list using the emotion recognition results. This enables information provision and task management that are adapted to the user's emotional state. 【0408】 An "information processing device" is a computer system that collects and analyzes data and provides information useful to users. 【0409】 An "external storage medium" is an external data storage device that stores data and allows access as needed. 【0410】 "Electronic communication data" refers to a collection of digital data transmitted and received in the form of text, audio, images, etc. 【0411】 An "emotion recognition algorithm" is a mathematical method that analyzes voice, facial expressions, and text data to evaluate a user's emotions and psychological state. 【0412】 "Notification timing" refers to the optimal time schedule for informing the user of incoming electronic communication data. 【0413】 A "task list" is a list of tasks and activities that a user needs to perform. 【0414】 "Dynamically changing priorities" means updating the order of importance of tasks and messages in real time according to the situation. 【0415】 "Providing information adapted to the user's emotional state" refers to providing information and notifications at an appropriate time and in an appropriate format, taking into account the user's emotions and psychological burden. 【0416】 This invention is an information processing system that dynamically adjusts the management of electronic communication data and the prioritization of tasks according to the user's emotional state. The system mainly consists of three elements: a server, a terminal, and a user. 【0417】 Server operation: 【0418】 The server operates as an "information processing device," acquiring electronic communication data from external storage media. The server incorporates an emotion recognition algorithm, which analyzes the received data to evaluate the user's emotional state in real time. For this analysis, voice, facial expressions, and text data are used as input. Software such as "data analysis platforms" and "emotion analysis tools" are also used when necessary. 【0419】 Terminal role: 【0420】 The terminal functions as the user interface, displaying information and instructions sent from the server in real time. It operates based on instructions from the server to ensure that appropriate information is provided in a timely manner, taking into account the user's emotional state. Email notifications, schedule suggestions, and task priorities are displayed on the terminal's screen, allowing the user to respond quickly. 【0421】 User involvement: 【0422】 Users can receive information provided by the system through their own devices and adjust their schedules and tasks as needed. For example, if the server suggests changing the meeting time, the user can optimize their workflow by selecting that option. 【0423】 Specific example: 【0424】 If the server detects that a user is experiencing stress, important email notifications will be temporarily suppressed. When the user's emotional state improves and they are deemed relaxed, the server will resume sending notifications. This allows users to process information when they are mentally at ease. 【0425】 Example of a prompt: 【0426】 An example of input when using a generative AI model is to use the prompt, "If the user is feeling stressed, please tell me how to adjust their schedule." 【0427】 In this way, the system can provide information that takes into account the user's psychological and emotional state. This simultaneously achieves two important effects: improved work efficiency and reduced psychological burden. 【0428】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0429】 Step 1: 【0430】 The server acquires electronic communication data from an external storage medium. This data consists of audio files, text messages, and image data. The server performs this task using a "data acquisition unit" and sends the acquired data to a "data analysis module." Through this process, user input information is collected by the server. 【0431】 Step 2: 【0432】 The server analyzes acquired electronic communication data through a data analysis module using an emotion recognition algorithm. Based on the input voice and text data, it operates an "emotion analysis engine" to identify the user's emotional state. This calculation outputs data indicating the user's emotional state. Specifically, it analyzes the tone of the voice data and determines whether it indicates a stressed state. 【0433】 Step 3: 【0434】 The server uses the output obtained from sentiment analysis to adjust the timing of notifications. Based on the emotional state, the "notification control module" sets the priority of notifications for electronic communication data. For example, if a high-stress state is detected, important email notifications will be temporarily suppressed. This output ensures that notifications are delivered in a well-organized manner. 【0435】 Step 4: 【0436】 The terminal receives instructions from the server and displays information to the user based on their emotional state. It receives the output of the notification control module as input and displays it visually in the user interface. The information the user receives is tailored to their psychological state; specifically, email notifications may be suppressed until the server instructs it to resume notifications. 【0437】 Step 5: 【0438】 Users can use their devices to check optimal times and priority tasks, and make adjustments as needed. Based on information entered from their devices, they can review their schedule and reprioritize tasks. Specifically, they can choose whether to accept a suggestion to "change the meeting time." This results in the most efficient workflow. 【0439】 (Application Example 2) 【0440】 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." 【0441】 In today's information society, managing electronic communication messages, tasks, and schedules is essential to workers' daily lives and work, but the impact of this information on the user's psychological state is often not considered. As a result, users may experience increased stress and anxiety, potentially leading to decreased performance. This invention aims to optimize the management of electronic communication messages, schedules, and tasks while taking the user's emotional state into account, thereby reducing mental burden. 【0442】 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. 【0443】 In this invention, the server includes means for an information processing device to acquire electronic communication messages from an external database, means for analyzing the content of the electronic communication messages and classifying them based on priority, means for adjusting the timing of notifications according to the user's psychological state, means for displaying the classified electronic communication messages on the user's device, means for analyzing the user's emotional state, means for adjusting electronic calendar data based on the user's emotional state, and means for resetting the priority of task information according to the user's emotional state. This makes it possible to optimize the management of electronic communication messages, tasks, and schedules while reducing the psychological burden on the user. 【0444】 An "information processing device" is a system consisting of hardware and software for collecting, analyzing, and managing data. 【0445】 An "external database" is an external data storage device that an information processing device accesses to retrieve data. 【0446】 "Electronic communication messages" refer to messages that are sent or received using electronic means, including emails and chat messages. 【0447】 "User device" refers to an electronic device used by a user, such as a computer, smartphone, or tablet. 【0448】 "User's psychological state" refers to the user's emotions and mental state, including stress levels and relaxed states. 【0449】 "Adjusting notification timing" refers to the act of changing when specific information or messages are sent to a user, depending on the user's situation and circumstances. 【0450】 "Analyzing emotional states" is the process of analyzing acquired data to identify the user's current emotions and psychological state. 【0451】 "Adjusting electronic calendar data" refers to the process of reviewing schedules and appointments based on emotional states and rearranging them to optimal times. 【0452】 "Reprioritizing task information" is the act of reordering given tasks based on their importance and urgency. 【0453】 The system for implementing this invention is realized through a terminal such as a home robot. The server utilizes cameras and microphones mounted on the robot to collect various sensory data, including voice and facial expressions. The data obtained is then used to analyze the user's emotional state in real time through an emotion recognition module. 【0454】 The server adjusts the timing of electronic communication messages based on analyzed emotional information. If a user is experiencing stress, it may delay the notification of important messages. Conversely, if the server detects that the user is relaxed, it can immediately notify them of important messages. 【0455】 Furthermore, the server adjusts electronic calendar data based on the user's emotional state through its scheduling function. If a user is experiencing excessive stress, it can suggest postponing meetings or events. 【0456】 In addition, the server utilizes task management functions to reset task priorities according to the user's emotional state. This allows users to work efficiently while reducing psychological burden. 【0457】 For example, if a user working from home is detected as stressed, the robot might suggest, "Why don't you take a break for a while? I'll play some relaxing music." 【0458】 An example of a prompt message is, "Explore ways to offer relaxation suggestions to users when they feel stressed." 【0459】 The entire system, through information processing based on the user's emotional state, will thus provide more humane support for daily life. As a result, it will contribute to maintaining psychological health and improving work efficiency. 【0460】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0461】 Step 1: 【0462】 The server acquires voice and facial expression data from sensors installed in the home robot. It receives signals from the sensors as input and converts them into digital data. The output is voice and facial expression data formatted in the format necessary for emotion analysis. Specifically, it converts the voice into text using speech recognition software and organizes the facial expression data using image processing algorithms. 【0463】 Step 2: 【0464】 The server runs an emotion recognition model based on the acquired voice and facial expression data. This process involves inputting data into the emotion analysis model to identify the user's emotional state (e.g., stress, relaxation). The output is a numerical or qualitative evaluation indicating the user's emotional state. Generative AI models are used to perform data analysis quickly and accurately. 【0465】 Step 3: 【0466】 The server automatically adjusts the notification schedule for electronic communication messages based on the user's emotional state. The input consists of the analyzed emotional state and a list of unread messages. Based on this, it determines the priority and timing of notifications and outputs an appropriate notification schedule. Specifically, it applies an algorithm to delay notifications for users experiencing stress. 【0467】 Step 4: 【0468】 The server retrieves schedule management data and optimizes the schedule based on the user's emotional state. The inputs are the retrieved electronic calendar data and the user's emotional state. If the user is in a high-stress state, the server automatically adjusts the schedule to reduce the burden and outputs a new schedule. It semi-automatically presents the user with suggested schedule changes. 【0469】 Step 5: 【0470】 The server retrieves task information and reprioritizes them based on the user's emotional state. The input is the current task information and the analyzed emotional state. The output is a list of re-evaluated task priorities. In particular, if the user is feeling anxious, calculations are performed to increase the importance of short-term tasks. 【0471】 Step 6: 【0472】 The device provides feedback to the user based on previous analysis and adjustment results. It receives schedule suggestions, task priorities, and notification schedules as input, and displays them in a user-friendly interface. The output is specific support information that allows the user to actually adjust their actions. This is communicated through voice guidance and on-screen notifications. 【0473】 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. 【0474】 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. 【0475】 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. 【0476】 [Third Embodiment] 【0477】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0478】 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. 【0479】 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). 【0480】 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. 【0481】 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. 【0482】 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). 【0483】 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. 【0484】 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. 【0485】 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. 【0486】 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. 【0487】 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. 【0488】 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". 【0489】 This invention is implemented as an information processing system for efficiently managing electronic communication messages, scheduling, and managing tasks. 【0490】 Email management module 【0491】 The server connects to an external database to retrieve electronic messages from the user's email account. The retrieved messages are analyzed within the server using natural language processing and prioritized based on importance. The terminal receives the analysis results and displays them visually to the user. Specifically, important emails are highlighted in red to allow the user to quickly identify them. The user can then open these emails on the terminal and take immediate action. 【0492】 Schedule adjustment module 【0493】 The device synchronizes the user's calendar data, and the server analyzes that data. Based on the collected data, the server suggests the most suitable meeting schedule. For example, for a meeting with three or more participants, it can check everyone's calendars and suggest available time slots. The user can then select from the multiple suggested dates and times presented on the device and register the chosen schedule back into their calendar. 【0494】 Task management module 【0495】 When a user enters task information into their device, the server analyzes the information and determines its priority, taking into account its importance and deadline. The device displays this information to the user and updates the progress in real time. For example, if a user registers a project that needs to be completed by the weekend, the server will prioritize that task over other tasks and send an automatic reminder through the device before the deadline. 【0496】 By using this system, users can significantly improve their work efficiency, respond quickly to important information, maintain optimal schedules, and ensure all tasks are completed on time. This is expected to enhance business productivity and strengthen competitiveness. 【0497】 The following describes the processing flow. 【0498】 Processing by the email management module 【0499】 Step 1: 【0500】 The server connects to an external database and retrieves new e-mail messages from the user's email account using the IMAP protocol. 【0501】 Step 2: 【0502】 The server analyzes the content of the messages it receives using natural language processing (NLP) techniques and ranks their importance based on keywords, sender importance, history, and other factors. 【0503】 Step 3: 【0504】 The server lists the ranked messages in order of importance and sends them to the terminal along with their metadata. 【0505】 Step 4: 【0506】 The system visually displays a list of messages received by the device to the user, highlighting important emails with a prominent color or other visual aids. 【0507】 Processing of the scheduling module 【0508】 Step 1: 【0509】 The device synchronizes with the user's digital calendar and retrieves existing schedule data. 【0510】 Step 2: 【0511】 The server analyzes the acquired calendar data to calculate available time slots. It also queries the calendar information of other participants to generate optimal meeting time suggestions. 【0512】 Step 3: 【0513】 The server sends the calculated candidate dates and times to the terminal and presents them to the user as multiple options. 【0514】 Step 4: 【0515】 The user operates the device to select the date and time they deem optimal, confirms the selected schedule, and sends it to the server. 【0516】 Task management module processing 【0517】 Step 1: 【0518】 The user enters a new task on their device and sets attributes such as the task name, due date, and importance level. 【0519】 Step 2: 【0520】 The server organizes the entered task information and determines its priority within the task list based on importance and deadline. 【0521】 Step 3: 【0522】 The server sends a task list reflecting the priorities to the terminal and displays it to the user. 【0523】 Step 4: 【0524】 When a user updates the task progress, the device sends that information to the server, which monitors the progress and issues reminders as needed. 【0525】 (Example 1) 【0526】 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." 【0527】 In today's information environment, users must manage vast amounts of electronic communication information and numerous schedules and tasks simultaneously, thus requiring efficient information processing. In particular, it is crucial to instantly assess the importance of electronic communication information, maintain optimal schedules, and appropriately prioritize tasks. However, manually managing individual pieces of information is time-consuming and labor-intensive, necessitating automation technology. 【0528】 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. 【0529】 In this invention, the server includes means for an information processing device to acquire electronic communication information from external storage, means for analyzing the electronic communication information, determining its importance using natural language processing, and highlighting the display based on priority, and means for visually presenting the analysis results to the user device to encourage a quick response. This enables the user to efficiently process complex information, avoid overlooking important information, and perform optimal schedule management and task prioritization. 【0530】 An "information processing device" is a device that has the ability to acquire data from external storage and analyze and classify it. 【0531】 "External memory" refers to storage devices such as databases and storage that can be accessed by information processing equipment. 【0532】 "Electronic communication information" is a general term for information transmitted using electronic communication methods such as email and messages. 【0533】 "Natural language processing" is a technology that allows computers to understand, analyze, and respond to everyday human language. 【0534】 "Importance" refers to the degree of priority or urgency determined based on the content of electronic communication information. 【0535】 "User equipment" refers to devices that users directly operate to display or input information. 【0536】 "Analysis results" refer to conclusions or judgments obtained by information processing equipment through the analysis of electronic communication information. 【0537】 "Visual presentation" refers to displaying information in a format that appeals to the user's visual sense. 【0538】 "Prompt response" refers to taking quick and appropriate action in response to important information. 【0539】 This invention is a system for achieving efficient information processing. Its main components are a server, a terminal, and a user. 【0540】 The server, as an information processing device, acquires electronic communication information from external storage. This process uses the IMAP protocol to retrieve data from storage devices such as external databases. The acquired electronic communication information is then analyzed within the server using natural language processing (NLP) techniques. Specifically, open-source NLP libraries such as NLTK and spaCy are used for analysis. Here, the importance of the information is determined through natural language processing, and important messages are processed with priority. The results of this analysis are then sent to the user's terminal. 【0541】 The device visually presents the analyzed electronic communication information to the user. The user interface highlights high-priority emails in red, enabling the user to respond quickly. The device also synchronizes the user's schedule information with a cloud calendar system and sends data to a server to help create optimal schedules. 【0542】 The user enters the necessary task information on their device. This task information is sent to the server, where priority is determined based on importance and deadline. The result of this determination is sent to the device, and the progress status is updated in real time. The user then checks the progress from their device and receives reminders from the server as needed. 【0543】 For example, if a user enters a task with a deadline that needs to be completed by tomorrow, the system will set that task to a high priority and display a reminder notification on the device before the deadline. Furthermore, the AI ​​model may be provided with prompts such as, "Explain the outline of a system that analyzes important messages from the user's email account and supports scheduling and task management optimization." In this way, the system aims to significantly improve the user's work efficiency. 【0544】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0545】 Step 1: 【0546】 The server retrieves electronic communication information from external storage. Using the user's email account information as input, the server retrieves messages from the email server using the IMAP protocol. The messages retrieved through this procedure are output as data to be used in subsequent parsing steps. 【0547】 Step 2: 【0548】 The system analyzes electronic communication information acquired by the server using natural language processing (NLP) techniques. The input data consists of electronic communication information, and NLP libraries (e.g., NLTK and spaCy) are used to tokenize messages, extract specific keywords, and understand the context. As a result of the analysis, the importance of each message is quantified, and prioritized information is output. 【0549】 Step 3: 【0550】 The server sends the analysis results to the terminal. The input information is the analysis results obtained in the previous step, and by sending it to the terminal, it is made into a format that the user can view. This procedure also adds information to highlight messages of high importance. The output displays messages in a format that the user can visually view on the terminal. 【0551】 Step 4: 【0552】 The device synchronizes with the user's calendar data and sends it to the server. The input is the user's schedule information, and the device retrieves the data using APIs such as those for cloud calendar systems. The server then receives the output as basic data for optimal scheduling. 【0553】 Step 5: 【0554】 The server analyzes the user's calendar information and suggests the optimal meeting schedule. The input is the schedule information of all participants, which the server analyzes to calculate the optimal availability. The output is the suggested meeting date and time, which the user can check via their terminal. 【0555】 Step 6: 【0556】 The user enters the necessary task information on the terminal. The input data is the task details, which the terminal accepts and sends to the server. The output of this process is a dataset used for task management. 【0557】 Step 7: 【0558】 The server determines priority based on the received task information, considering importance and deadline. Input is detailed task information and deadlines; the server analyzes this data to evaluate importance. Output is a prioritized task list, which the terminal presents to the user. 【0559】 Step 8: 【0560】 The device displays task progress to the user and sends reminders as needed. The input data is prioritized task information, which the device outputs via progress bars and reminders. This allows the user to track task progress and make adjustments to meet deadlines. 【0561】 (Application Example 1) 【0562】 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." 【0563】 In today's world, the amount of personal electronic communication data, activity schedules, and work information is increasing, making it difficult to manage them efficiently and effectively. Furthermore, there is a need to accurately grasp important information and provide timely notifications and prioritize accordingly. However, conventional information processing systems fail to adequately address these challenges, while increasing the burden on users. 【0564】 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. 【0565】 In this invention, the server includes means for an information processing device to acquire electronic communication data from an external storage device, means for analyzing the electronic communication data and classifying it based on priority, and means for visually and audibly presenting the classified electronic communication data to a user terminal. This enables users to efficiently manage information in their daily lives and to instantly grasp important information. 【0566】 An "information processing device" is a computer system used to acquire, analyze, and classify electronic communication data. 【0567】 "External storage device" refers to a device or medium for storing electronic communication data or electronic schedule data, and includes internet clouds and databases. 【0568】 "Electronic communication data" is a general term for information sent and received via email or messaging applications. 【0569】 "Priority" is an indicator that ranks information based on its importance and urgency. 【0570】 A "user terminal" is a device used by a user to receive and manipulate information, and includes smartphones and computers. 【0571】 "Visual and auditory presentation" refers to displaying information on a screen or providing audio notifications. 【0572】 "Activity schedule" refers to information that records a user's schedule and plans. 【0573】 A "generative AI model" is a model that uses artificial intelligence to optimize user assistance. 【0574】 This invention is a system that efficiently manages users' electronic communication data, activity schedules, and business information by utilizing the program of an information processing device. The system begins with the information processing device acquiring electronic communication data from an external storage device and processing it. For processing, natural language processing libraries such as NLTK and spaCy are used to analyze the data and classify it based on its importance. 【0575】 The server utilizes gTTS (Google Text-to-Speech) to present the analyzed information visually and audibly to the user's device. This allows users to instantly recognize important messages and respond more effectively. The server also manages the user's electronic schedule data and uses the Google Calendar API to provide optimal suggestions that take into account the activity schedules of other users. By using a generative AI model, more accurate schedule management and task prioritization are achieved based on the user's behavior and past data. 【0576】 For example, if a user requests a reminder to prepare materials for next week's meeting, the server will gather relevant information and notify the user's device of the most appropriate reminder via voice and visual means. This ensures the user completes important tasks without forgetting. 【0577】 As an example of a prompt, the AI ​​model can be given the instruction, "Think of ways to instantly notify users of important emails and help them complete tasks on schedule, even when they are busy," thereby optimizing user assistance. 【0578】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0579】 Step 1: 【0580】 The server retrieves electronic communication data from an external storage device. Specifically, the server logs into the user's email account, searches for newly received messages, and saves them to the database. The input is new email messages, and the output is electronic communication data ready for analysis. 【0581】 Step 2: 【0582】 The server analyzes the acquired electronic communication data using natural language processing libraries (such as NLTK or spaCy) and performs classification based on importance. Specifically, it extracts keywords from the subject and content of each email and determines their importance. The input is raw electronic communication data, and the output is classified data with assigned importance levels. 【0583】 Step 3: 【0584】 The server transmits classified electronic communication data to the user terminal and generates audio files using gTTS for visual and auditory presentation. Specifically, it highlights important messages and converts text to speech to notify the user. The input is classified data, and the output is visual and auditory information notified to the user. 【0585】 Step 4: 【0586】 The server retrieves the user's electronic schedule data via the Google Calendar API and generates suggestions for optimizing the schedule. Specifically, it automatically checks the availability of multiple participants and suggests the optimal meeting time. The input is calendar data, and the output is the suggested optimal schedule. 【0587】 Step 5: 【0588】 The server utilizes a generative AI model to analyze the user's past behavior data and automatically determine task priorities. Specifically, the AI ​​model analyzes training data based on prompt text and provides the user with the most relevant information. The input consists of user history data and prompt text, and the output is a prioritized task list. 【0589】 Step 6: 【0590】 Users view the information and suggestions they receive and add or edit tasks as needed. Specifically, they check schedules and manage task checkboxes on their devices. Input is system-generated suggestions, while output is the user-adjusted schedule and tasks. 【0591】 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. 【0592】 This invention is a system that, in addition to managing electronic communication messages, scheduling, and task management, recognizes and utilizes user emotions for information processing. It incorporates an emotion engine to provide more flexible and accurate support according to the user's situation and emotions. 【0593】 Emotion recognition and email management module 【0594】 The server receives data such as voice, facial expressions, and text input from the user's device and analyzes this data to recognize the user's emotions in real time. If the emotion engine detects a specific emotion, such as stress or anxiety, the server refrains from sending notifications for high-priority emails and postpones notifications until the user is ready to check their emails. Conversely, if the server detects that the user is relaxed, it automatically switches to a setting that promptly notifies important emails. This makes it possible to optimize how messages are received according to the user's psychological state. 【0595】 Schedule adjustment module 【0596】 The emotion engine takes the user's mood into account and adjusts the suggested schedule options accordingly. For example, if the user is experiencing excessive stress, the system will suggest postponing meetings or appointments whenever possible. The user can then check their schedule from their device and select and confirm the optimal time suggested based on their emotional data. This enables schedule management that reduces the user's psychological burden. 【0597】 Task management module 【0598】 The emotion engine analyzes the user's current emotional state and reflects this in task management. For example, if the user is experiencing anxiety or stress, it re-evaluates task priorities and shifts the focus from long-term tasks to short-term, simpler ones, reducing the burden on the user to complete tasks. The device displays these priority changes to the user in real time, supporting smooth task progress. 【0599】 In this way, by using an emotion engine, it becomes possible to provide multifaceted work support tailored to the user's situation, realizing a more human-centered information processing system. This system is expected to achieve both improved work efficiency and the maintenance of the user's psychological well-being. 【0600】 The following describes the processing flow. 【0601】 Processing flow incorporating an emotion engine 【0602】 Emotion recognition and email management module 【0603】 Step 1: 【0604】 The device collects the user's voice and facial expression data and sends it to the server as input data for emotion recognition. 【0605】 Step 2: 【0606】 The server uses an emotion engine to analyze the received data and recognize the user's current emotional state. 【0607】 Step 3: 【0608】 The server customizes notifications based on the user's emotional state. For example, if a user is stressed, it will refrain from sending notifications for high-priority emails. 【0609】 Step 4: 【0610】 The device displays an email list to the user that reflects their emotion-based notification settings. This allows the user to check their emails as needed. 【0611】 Schedule adjustment module 【0612】 Step 1: 【0613】 The device sends the user's calendar information and sentiment data to the server. 【0614】 Step 2: 【0615】 The server uses an emotion engine to analyze the user's mood and current schedule. 【0616】 Step 3: 【0617】 The server adjusts the schedule options to match the user's emotional state and selects the most suitable option. 【0618】 Step 4: 【0619】 The device displays suggested schedule options, and the user selects and confirms the date and time they deem most suitable. 【0620】 Task management module 【0621】 Step 1: 【0622】 The user enters task information into their device and sends emotional data to the server along with it. 【0623】 Step 2: 【0624】 The server analyzes task information and emotional state to re-evaluate task priorities. 【0625】 Step 3: 【0626】 The server organizes the priorities re-evaluated by the emotion engine into a task list and sends it to the terminal. 【0627】 Step 4: 【0628】 The system displays a task list to the user with updated device information, supporting them in reviewing the list and proceeding with tasks. 【0629】 This process allows systems incorporating an emotion engine to adjust work notifications, schedules, and task management based on the user's emotional state. 【0630】 (Example 2) 【0631】 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." 【0632】 Conventional information processing systems have been unable to provide flexible information based on the user's psychological state, which can negatively impact user work efficiency and psychological health. Furthermore, prioritizing tasks and managing time under stressful or anxious conditions is difficult, placing a significant burden on users. A new system is needed to address these challenges. 【0633】 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. 【0634】 In this invention, the server includes means for an information processing device to acquire electronic communication data from an external storage medium, means for analyzing the electronic communication data using an emotion recognition algorithm and adjusting notification timing according to the user's emotional state, and means for dynamically changing the priority of the task list using the emotion recognition results. This enables information provision and task management that are adapted to the user's emotional state. 【0635】 An "information processing device" is a computer system that collects and analyzes data and provides information useful to users. 【0636】 An "external storage medium" is an external data storage device that stores data and allows access as needed. 【0637】 "Electronic communication data" refers to a collection of digital data transmitted and received in the form of text, audio, images, etc. 【0638】 An "emotion recognition algorithm" is a mathematical method that analyzes voice, facial expressions, and text data to evaluate a user's emotions and psychological state. 【0639】 "Notification timing" refers to the optimal time schedule for informing the user of incoming electronic communication data. 【0640】 A "task list" is a list of tasks and activities that a user needs to perform. 【0641】 "Dynamically changing priorities" means updating the order of importance of tasks and messages in real time according to the situation. 【0642】 "Providing information adapted to the user's emotional state" refers to providing information and notifications at an appropriate time and in an appropriate format, taking into account the user's emotions and psychological burden. 【0643】 This invention is an information processing system that dynamically adjusts the management of electronic communication data and the prioritization of tasks according to the user's emotional state. The system mainly consists of three elements: a server, a terminal, and a user. 【0644】 Server operation: 【0645】 The server operates as an "information processing device," acquiring electronic communication data from external storage media. The server incorporates an emotion recognition algorithm, which analyzes the received data to evaluate the user's emotional state in real time. For this analysis, voice, facial expressions, and text data are used as input. Software such as "data analysis platforms" and "emotion analysis tools" are also used when necessary. 【0646】 Terminal role: 【0647】 The terminal functions as the user interface, displaying information and instructions sent from the server in real time. It operates based on instructions from the server to ensure that appropriate information is provided in a timely manner, taking into account the user's emotional state. Email notifications, schedule suggestions, and task priorities are displayed on the terminal's screen, allowing the user to respond quickly. 【0648】 User involvement: 【0649】 Users can receive information provided by the system through their own devices and adjust their schedules and tasks as needed. For example, if the server suggests changing the meeting time, the user can optimize their workflow by selecting that option. 【0650】 Specific example: 【0651】 If the server detects that a user is experiencing stress, important email notifications will be temporarily suppressed. When the user's emotional state improves and they are deemed relaxed, the server will resume sending notifications. This allows users to process information when they are mentally at ease. 【0652】 Example of a prompt: 【0653】 An example of input when using a generative AI model is to use the prompt, "If the user is feeling stressed, please tell me how to adjust their schedule." 【0654】 In this way, the system can provide information that takes into account the user's psychological and emotional state. This simultaneously achieves two important effects: improved work efficiency and reduced psychological burden. 【0655】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0656】 Step 1: 【0657】 The server acquires electronic communication data from an external storage medium. This data consists of audio files, text messages, and image data. The server performs this task using a "data acquisition unit" and sends the acquired data to a "data analysis module." Through this process, user input information is collected by the server. 【0658】 Step 2: 【0659】 The server analyzes acquired electronic communication data through a data analysis module using an emotion recognition algorithm. Based on the input voice and text data, it operates an "emotion analysis engine" to identify the user's emotional state. This calculation outputs data indicating the user's emotional state. Specifically, it analyzes the tone of the voice data and determines whether it indicates a stressed state. 【0660】 Step 3: 【0661】 The server uses the output obtained from sentiment analysis to adjust the timing of notifications. Based on the emotional state, the "notification control module" sets the priority of notifications for electronic communication data. For example, if a high-stress state is detected, important email notifications will be temporarily suppressed. This output ensures that notifications are delivered in a well-organized manner. 【0662】 Step 4: 【0663】 The terminal receives instructions from the server and displays information to the user based on their emotional state. It receives the output of the notification control module as input and displays it visually in the user interface. The information the user receives is tailored to their psychological state; specifically, email notifications may be suppressed until the server instructs it to resume notifications. 【0664】 Step 5: 【0665】 Users can use their devices to check optimal times and priority tasks, and make adjustments as needed. Based on information entered from their devices, they can review their schedule and reprioritize tasks. Specifically, they can choose whether to accept a suggestion to "change the meeting time." This results in the most efficient workflow. 【0666】 (Application Example 2) 【0667】 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." 【0668】 In today's information society, managing electronic communication messages, tasks, and schedules is essential to workers' daily lives and work, but the impact of this information on the user's psychological state is often not considered. As a result, users may experience increased stress and anxiety, potentially leading to decreased performance. This invention aims to optimize the management of electronic communication messages, schedules, and tasks while taking the user's emotional state into account, thereby reducing mental burden. 【0669】 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. 【0670】 In this invention, the server includes means for an information processing device to acquire electronic communication messages from an external database, means for analyzing the content of the electronic communication messages and classifying them based on priority, means for adjusting the timing of notifications according to the user's psychological state, means for displaying the classified electronic communication messages on the user's device, means for analyzing the user's emotional state, means for adjusting electronic calendar data based on the user's emotional state, and means for resetting the priority of task information according to the user's emotional state. This makes it possible to optimize the management of electronic communication messages, tasks, and schedules while reducing the psychological burden on the user. 【0671】 An "information processing device" is a system consisting of hardware and software for collecting, analyzing, and managing data. 【0672】 An "external database" is an external data storage device that an information processing device accesses to retrieve data. 【0673】 "Electronic communication messages" refer to messages that are sent or received using electronic means, including emails and chat messages. 【0674】 "User device" refers to an electronic device used by a user, such as a computer, smartphone, or tablet. 【0675】 "User's psychological state" refers to the user's emotions and mental state, including stress levels and relaxed states. 【0676】 "Adjusting notification timing" refers to the act of changing when specific information or messages are sent to a user, depending on the user's situation and circumstances. 【0677】 "Analyzing emotional states" is the process of analyzing acquired data to identify the user's current emotions and psychological state. 【0678】 "Adjusting electronic calendar data" refers to the process of reviewing schedules and appointments based on emotional states and rearranging them to optimal times. 【0679】 "Reprioritizing task information" is the act of reordering given tasks based on their importance and urgency. 【0680】 The system for implementing this invention is realized through a terminal such as a home robot. The server utilizes cameras and microphones mounted on the robot to collect various sensory data, including voice and facial expressions. The data obtained is then used to analyze the user's emotional state in real time through an emotion recognition module. 【0681】 The server adjusts the timing of electronic communication messages based on analyzed emotional information. If a user is experiencing stress, it may delay the notification of important messages. Conversely, if the server detects that the user is relaxed, it can immediately notify them of important messages. 【0682】 Furthermore, the server adjusts electronic calendar data based on the user's emotional state through its scheduling function. If a user is experiencing excessive stress, it can suggest postponing meetings or events. 【0683】 In addition, the server utilizes task management functions to reset task priorities according to the user's emotional state. This allows users to work efficiently while reducing psychological burden. 【0684】 For example, if a user working from home is detected as stressed, the robot might suggest, "Why don't you take a break for a while? I'll play some relaxing music." 【0685】 An example of a prompt message is, "Explore ways to offer relaxation suggestions to users when they feel stressed." 【0686】 The entire system, through information processing based on the user's emotional state, will thus provide more humane support for daily life. As a result, it will contribute to maintaining psychological health and improving work efficiency. 【0687】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0688】 Step 1: 【0689】 The server acquires voice and facial expression data from sensors installed in the home robot. It receives signals from the sensors as input and converts them into digital data. The output is voice and facial expression data formatted in the format necessary for emotion analysis. Specifically, it converts the voice into text using speech recognition software and organizes the facial expression data using image processing algorithms. 【0690】 Step 2: 【0691】 The server runs an emotion recognition model based on the acquired voice and facial expression data. This process involves inputting data into the emotion analysis model to identify the user's emotional state (e.g., stress, relaxation). The output is a numerical or qualitative evaluation indicating the user's emotional state. Generative AI models are used to perform data analysis quickly and accurately. 【0692】 Step 3: 【0693】 The server automatically adjusts the notification schedule for electronic communication messages based on the user's emotional state. The input consists of the analyzed emotional state and a list of unread messages. Based on this, it determines the priority and timing of notifications and outputs an appropriate notification schedule. Specifically, it applies an algorithm to delay notifications for users experiencing stress. 【0694】 Step 4: 【0695】 The server retrieves schedule management data and optimizes the schedule based on the user's emotional state. The inputs are the retrieved electronic calendar data and the user's emotional state. If the user is in a high-stress state, the server automatically adjusts the schedule to reduce the burden and outputs a new schedule. It semi-automatically presents the user with suggested schedule changes. 【0696】 Step 5: 【0697】 The server retrieves task information and reprioritizes them based on the user's emotional state. The input is the current task information and the analyzed emotional state. The output is a list of re-evaluated task priorities. In particular, if the user is feeling anxious, calculations are performed to increase the importance of short-term tasks. 【0698】 Step 6: 【0699】 The device provides feedback to the user based on previous analysis and adjustment results. It receives schedule suggestions, task priorities, and notification schedules as input, and displays them in a user-friendly interface. The output is specific support information that allows the user to actually adjust their actions. This is communicated through voice guidance and on-screen notifications. 【0700】 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. 【0701】 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. 【0702】 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. 【0703】 [Fourth Embodiment] 【0704】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0705】 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. 【0706】 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). 【0707】 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. 【0708】 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. 【0709】 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). 【0710】 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. 【0711】 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. 【0712】 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. 【0713】 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. 【0714】 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. 【0715】 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. 【0716】 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". 【0717】 This invention is implemented as an information processing system for efficiently managing electronic communication messages, scheduling, and managing tasks. 【0718】 Email management module 【0719】 The server connects to an external database to retrieve electronic messages from the user's email account. The retrieved messages are analyzed within the server using natural language processing and prioritized based on importance. The terminal receives the analysis results and displays them visually to the user. Specifically, important emails are highlighted in red to allow the user to quickly identify them. The user can then open these emails on the terminal and take immediate action. 【0720】 Schedule adjustment module 【0721】 The device synchronizes the user's calendar data, and the server analyzes that data. Based on the collected data, the server suggests the most suitable meeting schedule. For example, for a meeting with three or more participants, it can check everyone's calendars and suggest available time slots. The user can then select from the multiple suggested dates and times presented on the device and register the chosen schedule back into their calendar. 【0722】 Task management module 【0723】 When a user enters task information into their device, the server analyzes the information and determines its priority, taking into account its importance and deadline. The device displays this information to the user and updates the progress in real time. For example, if a user registers a project that needs to be completed by the weekend, the server will prioritize that task over other tasks and send an automatic reminder through the device before the deadline. 【0724】 By using this system, users can significantly improve their work efficiency, respond quickly to important information, maintain optimal schedules, and ensure all tasks are completed on time. This is expected to enhance business productivity and strengthen competitiveness. 【0725】 The following describes the processing flow. 【0726】 Processing by the email management module 【0727】 Step 1: 【0728】 The server connects to an external database and retrieves new e-mail messages from the user's email account using the IMAP protocol. 【0729】 Step 2: 【0730】 The server analyzes the content of the messages it receives using natural language processing (NLP) techniques and ranks their importance based on keywords, sender importance, history, and other factors. 【0731】 Step 3: 【0732】 The server lists the ranked messages in order of importance and sends them to the terminal along with their metadata. 【0733】 Step 4: 【0734】 The system visually displays a list of messages received by the device to the user, highlighting important emails with a prominent color or other visual aids. 【0735】 Processing of the scheduling module 【0736】 Step 1: 【0737】 The device synchronizes with the user's digital calendar and retrieves existing schedule data. 【0738】 Step 2: 【0739】 The server analyzes the acquired calendar data to calculate available time slots. It also queries the calendar information of other participants to generate optimal meeting time suggestions. 【0740】 Step 3: 【0741】 The server sends the calculated candidate dates and times to the terminal and presents them to the user as multiple options. 【0742】 Step 4: 【0743】 The user operates the device to select the date and time they deem optimal, confirms the selected schedule, and sends it to the server. 【0744】 Task management module processing 【0745】 Step 1: 【0746】 The user enters a new task on their device and sets attributes such as the task name, due date, and importance level. 【0747】 Step 2: 【0748】 The server organizes the entered task information and determines its priority within the task list based on importance and deadline. 【0749】 Step 3: 【0750】 The server sends a task list reflecting the priorities to the terminal and displays it to the user. 【0751】 Step 4: 【0752】 When a user updates the task progress, the device sends that information to the server, which monitors the progress and issues reminders as needed. 【0753】 (Example 1) 【0754】 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". 【0755】 In today's information environment, users must manage vast amounts of electronic communication information and numerous schedules and tasks simultaneously, thus requiring efficient information processing. In particular, it is crucial to instantly assess the importance of electronic communication information, maintain optimal schedules, and appropriately prioritize tasks. However, manually managing individual pieces of information is time-consuming and labor-intensive, necessitating automation technology. 【0756】 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. 【0757】 In this invention, the server includes means for an information processing device to acquire electronic communication information from external storage, means for analyzing the electronic communication information, determining its importance using natural language processing, and highlighting the display based on priority, and means for visually presenting the analysis results to the user device to encourage a quick response. This enables the user to efficiently process complex information, avoid overlooking important information, and perform optimal schedule management and task prioritization. 【0758】 An "information processing device" is a device that has the ability to acquire data from external storage and analyze and classify it. 【0759】 "External memory" refers to storage devices such as databases and storage that can be accessed by information processing equipment. 【0760】 "Electronic communication information" is a general term for information transmitted using electronic communication methods such as email and messages. 【0761】 "Natural language processing" is a technology that allows computers to understand, analyze, and respond to everyday human language. 【0762】 "Importance" refers to the degree of priority or urgency determined based on the content of electronic communication information. 【0763】 "User equipment" refers to devices that users directly operate to display or input information. 【0764】 "Analysis results" refer to conclusions or judgments obtained by information processing equipment through the analysis of electronic communication information. 【0765】 "Visual presentation" refers to displaying information in a format that appeals to the user's visual sense. 【0766】 "Prompt response" refers to taking quick and appropriate action in response to important information. 【0767】 This invention is a system for achieving efficient information processing. Its main components are a server, a terminal, and a user. 【0768】 The server, as an information processing device, acquires electronic communication information from external storage. This process uses the IMAP protocol to retrieve data from storage devices such as external databases. The acquired electronic communication information is then analyzed within the server using natural language processing (NLP) techniques. Specifically, open-source NLP libraries such as NLTK and spaCy are used for analysis. Here, the importance of the information is determined through natural language processing, and important messages are processed with priority. The results of this analysis are then sent to the user's terminal. 【0769】 The device visually presents the analyzed electronic communication information to the user. The user interface highlights high-priority emails in red, enabling the user to respond quickly. The device also synchronizes the user's schedule information with a cloud calendar system and sends data to a server to help create optimal schedules. 【0770】 The user enters the necessary task information on their device. This task information is sent to the server, where priority is determined based on importance and deadline. The result of this determination is sent to the device, and the progress status is updated in real time. The user then checks the progress from their device and receives reminders from the server as needed. 【0771】 For example, if a user enters a task with a deadline that needs to be completed by tomorrow, the system will set that task to a high priority and display a reminder notification on the device before the deadline. Furthermore, the AI ​​model may be provided with prompts such as, "Explain the outline of a system that analyzes important messages from the user's email account and supports scheduling and task management optimization." In this way, the system aims to significantly improve the user's work efficiency. 【0772】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0773】 Step 1: 【0774】 The server retrieves electronic communication information from external storage. Using the user's email account information as input, the server retrieves messages from the email server using the IMAP protocol. The messages retrieved through this procedure are output as data to be used in subsequent parsing steps. 【0775】 Step 2: 【0776】 The system analyzes electronic communication information acquired by the server using natural language processing (NLP) techniques. The input data consists of electronic communication information, and NLP libraries (e.g., NLTK and spaCy) are used to tokenize messages, extract specific keywords, and understand the context. As a result of the analysis, the importance of each message is quantified, and prioritized information is output. 【0777】 Step 3: 【0778】 The server sends the analysis results to the terminal. The input information is the analysis results obtained in the previous step, and by sending it to the terminal, it is made into a format that the user can view. This procedure also adds information to highlight messages of high importance. The output displays messages in a format that the user can visually view on the terminal. 【0779】 Step 4: 【0780】 The device synchronizes with the user's calendar data and sends it to the server. The input is the user's schedule information, and the device retrieves the data using APIs such as those for cloud calendar systems. The server then receives the output as basic data for optimal scheduling. 【0781】 Step 5: 【0782】 The server analyzes the user's calendar information and suggests the optimal meeting schedule. The input is the schedule information of all participants, which the server analyzes to calculate the optimal availability. The output is the suggested meeting date and time, which the user can check via their terminal. 【0783】 Step 6: 【0784】 The user enters the necessary task information on the terminal. The input data is the task details, which the terminal accepts and sends to the server. The output of this process is a dataset used for task management. 【0785】 Step 7: 【0786】 The server determines priority based on the received task information, considering importance and deadline. Input is detailed task information and deadlines; the server analyzes this data to evaluate importance. Output is a prioritized task list, which the terminal presents to the user. 【0787】 Step 8: 【0788】 The device displays task progress to the user and sends reminders as needed. The input data is prioritized task information, which the device outputs via progress bars and reminders. This allows the user to track task progress and make adjustments to meet deadlines. 【0789】 (Application Example 1) 【0790】 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". 【0791】 In today's world, the amount of personal electronic communication data, activity schedules, and work information is increasing, making it difficult to manage them efficiently and effectively. Furthermore, there is a need to accurately grasp important information and provide timely notifications and prioritize accordingly. However, conventional information processing systems fail to adequately address these challenges, while increasing the burden on users. 【0792】 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. 【0793】 In this invention, the server includes means for an information processing device to acquire electronic communication data from an external storage device, means for analyzing the electronic communication data and classifying it based on priority, and means for visually and audibly presenting the classified electronic communication data to a user terminal. This enables users to efficiently manage information in their daily lives and to instantly grasp important information. 【0794】 An "information processing device" is a computer system used to acquire, analyze, and classify electronic communication data. 【0795】 "External storage device" refers to a device or medium for storing electronic communication data or electronic schedule data, and includes internet clouds and databases. 【0796】 "Electronic communication data" is a general term for information sent and received via email or messaging applications. 【0797】 "Priority" is an indicator that ranks information based on its importance and urgency. 【0798】 A "user terminal" is a device used by a user to receive and manipulate information, and includes smartphones and computers. 【0799】 "Visual and auditory presentation" refers to displaying information on a screen or providing audio notifications. 【0800】 "Activity schedule" refers to information that records a user's schedule and plans. 【0801】 A "generative AI model" is a model that uses artificial intelligence to optimize user assistance. 【0802】 This invention is a system that efficiently manages users' electronic communication data, activity schedules, and business information by utilizing the program of an information processing device. The system begins with the information processing device acquiring electronic communication data from an external storage device and processing it. For processing, natural language processing libraries such as NLTK and spaCy are used to analyze the data and classify it based on its importance. 【0803】 The server utilizes gTTS (Google Text-to-Speech) to present the analyzed information visually and audibly to the user's device. This allows users to instantly recognize important messages and respond more effectively. The server also manages the user's electronic schedule data and uses the Google Calendar API to provide optimal suggestions that take into account the activity schedules of other users. By using a generative AI model, more accurate schedule management and task prioritization are achieved based on the user's behavior and past data. 【0804】 For example, if a user requests a reminder to prepare materials for next week's meeting, the server will gather relevant information and notify the user's device of the most appropriate reminder via voice and visual means. This ensures the user completes important tasks without forgetting. 【0805】 As an example of a prompt, the AI ​​model can be given the instruction, "Think of ways to instantly notify users of important emails and help them complete tasks on schedule, even when they are busy," thereby optimizing user assistance. 【0806】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0807】 Step 1: 【0808】 The server retrieves electronic communication data from an external storage device. Specifically, the server logs into the user's email account, searches for newly received messages, and saves them to the database. The input is new email messages, and the output is electronic communication data ready for analysis. 【0809】 Step 2: 【0810】 The server analyzes the acquired electronic communication data using natural language processing libraries (such as NLTK or spaCy) and performs classification based on importance. Specifically, it extracts keywords from the subject and content of each email and determines their importance. The input is raw electronic communication data, and the output is classified data with assigned importance levels. 【0811】 Step 3: 【0812】 The server transmits classified electronic communication data to the user terminal and generates audio files using gTTS for visual and auditory presentation. Specifically, it highlights important messages and converts text to speech to notify the user. The input is classified data, and the output is visual and auditory information notified to the user. 【0813】 Step 4: 【0814】 The server retrieves the user's electronic schedule data via the Google Calendar API and generates suggestions for optimizing the schedule. Specifically, it automatically checks the availability of multiple participants and suggests the optimal meeting time. The input is calendar data, and the output is the suggested optimal schedule. 【0815】 Step 5: 【0816】 The server utilizes a generative AI model to analyze the user's past behavior data and automatically determine task priorities. Specifically, the AI ​​model analyzes training data based on prompt text and provides the user with the most relevant information. The input consists of user history data and prompt text, and the output is a prioritized task list. 【0817】 Step 6: 【0818】 Users view the information and suggestions they receive and add or edit tasks as needed. Specifically, they check schedules and manage task checkboxes on their devices. Input is system-generated suggestions, while output is the user-adjusted schedule and tasks. 【0819】 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. 【0820】 This invention is a system that, in addition to managing electronic communication messages, scheduling, and task management, recognizes and utilizes user emotions for information processing. It incorporates an emotion engine to provide more flexible and accurate support according to the user's situation and emotions. 【0821】 Emotion recognition and email management module 【0822】 The server receives data such as voice, facial expressions, and text input from the user's device and analyzes this data to recognize the user's emotions in real time. If the emotion engine detects a specific emotion, such as stress or anxiety, the server refrains from sending notifications for high-priority emails and postpones notifications until the user is ready to check their emails. Conversely, if the server detects that the user is relaxed, it automatically switches to a setting that promptly notifies important emails. This makes it possible to optimize how messages are received according to the user's psychological state. 【0823】 Schedule adjustment module 【0824】 The emotion engine takes the user's mood into account and adjusts the suggested schedule options accordingly. For example, if the user is experiencing excessive stress, the system will suggest postponing meetings or appointments whenever possible. The user can then check their schedule from their device and select and confirm the optimal time suggested based on their emotional data. This enables schedule management that reduces the user's psychological burden. 【0825】 Task management module 【0826】 The emotion engine analyzes the user's current emotional state and reflects this in task management. For example, if the user is experiencing anxiety or stress, it re-evaluates task priorities and shifts the focus from long-term tasks to short-term, simpler ones, reducing the burden on the user to complete tasks. The device displays these priority changes to the user in real time, supporting smooth task progress. 【0827】 In this way, by using an emotion engine, it becomes possible to provide multifaceted work support tailored to the user's situation, realizing a more human-centered information processing system. This system is expected to achieve both improved work efficiency and the maintenance of the user's psychological well-being. 【0828】 The following describes the processing flow. 【0829】 Processing flow incorporating an emotion engine 【0830】 Emotion recognition and email management module 【0831】 Step 1: 【0832】 The device collects the user's voice and facial expression data and sends it to the server as input data for emotion recognition. 【0833】 Step 2: 【0834】 The server uses an emotion engine to analyze the received data and recognize the user's current emotional state. 【0835】 Step 3: 【0836】 The server customizes notifications based on the user's emotional state. For example, if a user is stressed, it will refrain from sending notifications for high-priority emails. 【0837】 Step 4: 【0838】 The device displays an email list to the user that reflects their emotion-based notification settings. This allows the user to check their emails as needed. 【0839】 Schedule adjustment module 【0840】 Step 1: 【0841】 The device sends the user's calendar information and sentiment data to the server. 【0842】 Step 2: 【0843】 The server uses an emotion engine to analyze the user's mood and current schedule. 【0844】 Step 3: 【0845】 The server adjusts the schedule options to match the user's emotional state and selects the most suitable option. 【0846】 Step 4: 【0847】 The device displays suggested schedule options, and the user selects and confirms the date and time they deem most suitable. 【0848】 Task management module 【0849】 Step 1: 【0850】 The user enters task information into their device and sends emotional data to the server along with it. 【0851】 Step 2: 【0852】 The server analyzes task information and emotional state to re-evaluate task priorities. 【0853】 Step 3: 【0854】 The server organizes the priorities re-evaluated by the emotion engine into a task list and sends it to the terminal. 【0855】 Step 4: 【0856】 The system displays a task list to the user with updated device information, supporting them in reviewing the list and proceeding with tasks. 【0857】 This process allows systems incorporating an emotion engine to adjust work notifications, schedules, and task management based on the user's emotional state. 【0858】 (Example 2) 【0859】 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". 【0860】 Conventional information processing systems have been unable to provide flexible information based on the user's psychological state, which can negatively impact user work efficiency and psychological health. Furthermore, prioritizing tasks and managing time under stressful or anxious conditions is difficult, placing a significant burden on users. A new system is needed to address these challenges. 【0861】 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. 【0862】 In this invention, the server includes means for an information processing device to acquire electronic communication data from an external storage medium, means for analyzing the electronic communication data using an emotion recognition algorithm and adjusting notification timing according to the user's emotional state, and means for dynamically changing the priority of the task list using the emotion recognition results. This enables information provision and task management that are adapted to the user's emotional state. 【0863】 An "information processing device" is a computer system that collects and analyzes data and provides information useful to users. 【0864】 An "external storage medium" is an external data storage device that stores data and allows access as needed. 【0865】 "Electronic communication data" refers to a collection of digital data transmitted and received in the form of text, audio, images, etc. 【0866】 An "emotion recognition algorithm" is a mathematical method that analyzes voice, facial expressions, and text data to evaluate a user's emotions and psychological state. 【0867】 "Notification timing" refers to the optimal time schedule for informing the user of incoming electronic communication data. 【0868】 A "task list" is a list of tasks and activities that a user needs to perform. 【0869】 "Dynamically changing priorities" means updating the order of importance of tasks and messages in real time according to the situation. 【0870】 "Providing information adapted to the user's emotional state" refers to providing information and notifications at an appropriate time and in an appropriate format, taking into account the user's emotions and psychological burden. 【0871】 This invention is an information processing system that dynamically adjusts the management of electronic communication data and the prioritization of tasks according to the user's emotional state. The system mainly consists of three elements: a server, a terminal, and a user. 【0872】 Server operation: 【0873】 The server operates as an "information processing device," acquiring electronic communication data from external storage media. The server incorporates an emotion recognition algorithm, which analyzes the received data to evaluate the user's emotional state in real time. For this analysis, voice, facial expressions, and text data are used as input. Software such as "data analysis platforms" and "emotion analysis tools" are also used when necessary. 【0874】 Terminal role: 【0875】 The terminal functions as the user interface, displaying information and instructions sent from the server in real time. It operates based on instructions from the server to ensure that appropriate information is provided in a timely manner, taking into account the user's emotional state. Email notifications, schedule suggestions, and task priorities are displayed on the terminal's screen, allowing the user to respond quickly. 【0876】 User involvement: 【0877】 Users can receive information provided by the system through their own devices and adjust their schedules and tasks as needed. For example, if the server suggests changing the meeting time, the user can optimize their workflow by selecting that option. 【0878】 Specific example: 【0879】 If the server detects that a user is experiencing stress, important email notifications will be temporarily suppressed. When the user's emotional state improves and they are deemed relaxed, the server will resume sending notifications. This allows users to process information when they are mentally at ease. 【0880】 Example of a prompt: 【0881】 An example of input when using a generative AI model is to use the prompt, "If the user is feeling stressed, please tell me how to adjust their schedule." 【0882】 In this way, the system can provide information that takes into account the user's psychological and emotional state. This simultaneously achieves two important effects: improved work efficiency and reduced psychological burden. 【0883】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0884】 Step 1: 【0885】 The server acquires electronic communication data from an external storage medium. This data consists of audio files, text messages, and image data. The server performs this task using a "data acquisition unit" and sends the acquired data to a "data analysis module." Through this process, user input information is collected by the server. 【0886】 Step 2: 【0887】 The server analyzes acquired electronic communication data through a data analysis module using an emotion recognition algorithm. Based on the input voice and text data, it operates an "emotion analysis engine" to identify the user's emotional state. This calculation outputs data indicating the user's emotional state. Specifically, it analyzes the tone of the voice data and determines whether it indicates a stressed state. 【0888】 Step 3: 【0889】 The server uses the output obtained from sentiment analysis to adjust the timing of notifications. Based on the emotional state, the "notification control module" sets the priority of notifications for electronic communication data. For example, if a high-stress state is detected, important email notifications will be temporarily suppressed. This output ensures that notifications are delivered in a well-organized manner. 【0890】 Step 4: 【0891】 The terminal receives instructions from the server and displays information to the user based on their emotional state. It receives the output of the notification control module as input and displays it visually in the user interface. The information the user receives is tailored to their psychological state; specifically, email notifications may be suppressed until the server instructs it to resume notifications. 【0892】 Step 5: 【0893】 Users can use their devices to check optimal times and priority tasks, and make adjustments as needed. Based on information entered from their devices, they can review their schedule and reprioritize tasks. Specifically, they can choose whether to accept a suggestion to "change the meeting time." This results in the most efficient workflow. 【0894】 (Application Example 2) 【0895】 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". 【0896】 In today's information society, managing electronic communication messages, tasks, and schedules is essential to workers' daily lives and work, but the impact of this information on the user's psychological state is often not considered. As a result, users may experience increased stress and anxiety, potentially leading to decreased performance. This invention aims to optimize the management of electronic communication messages, schedules, and tasks while taking the user's emotional state into account, thereby reducing mental burden. 【0897】 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. 【0898】 In this invention, the server includes means for an information processing device to acquire electronic communication messages from an external database, means for analyzing the content of the electronic communication messages and classifying them based on priority, means for adjusting the timing of notifications according to the user's psychological state, means for displaying the classified electronic communication messages on the user's device, means for analyzing the user's emotional state, means for adjusting electronic calendar data based on the user's emotional state, and means for resetting the priority of task information according to the user's emotional state. This makes it possible to optimize the management of electronic communication messages, tasks, and schedules while reducing the psychological burden on the user. 【0899】 An "information processing device" is a system consisting of hardware and software for collecting, analyzing, and managing data. 【0900】 An "external database" is an external data storage device that an information processing device accesses to retrieve data. 【0901】 "Electronic communication messages" refer to messages that are sent or received using electronic means, including emails and chat messages. 【0902】 "User device" refers to an electronic device used by a user, such as a computer, smartphone, or tablet. 【0903】 "User's psychological state" refers to the user's emotions and mental state, including stress levels and relaxed states. 【0904】 "Adjusting notification timing" refers to the act of changing when specific information or messages are sent to a user, depending on the user's situation and circumstances. 【0905】 "Analyzing emotional states" is the process of analyzing acquired data to identify the user's current emotions and psychological state. 【0906】 "Adjusting electronic calendar data" refers to the process of reviewing schedules and appointments based on emotional states and rearranging them to optimal times. 【0907】 "Reprioritizing task information" is the act of reordering given tasks based on their importance and urgency. 【0908】 The system for implementing this invention is realized through a terminal such as a home robot. The server utilizes cameras and microphones mounted on the robot to collect various sensory data, including voice and facial expressions. The data obtained is then used to analyze the user's emotional state in real time through an emotion recognition module. 【0909】 The server adjusts the timing of electronic communication messages based on analyzed emotional information. If a user is experiencing stress, it may delay the notification of important messages. Conversely, if the server detects that the user is relaxed, it can immediately notify them of important messages. 【0910】 Furthermore, the server adjusts electronic calendar data based on the user's emotional state through its scheduling function. If a user is experiencing excessive stress, it can suggest postponing meetings or events. 【0911】 In addition, the server utilizes task management functions to reset task priorities according to the user's emotional state. This allows users to work efficiently while reducing psychological burden. 【0912】 For example, if a user working from home is detected as stressed, the robot might suggest, "Why don't you take a break for a while? I'll play some relaxing music." 【0913】 An example of a prompt message is, "Explore ways to offer relaxation suggestions to users when they feel stressed." 【0914】 The entire system, through information processing based on the user's emotional state, will thus provide more humane support for daily life. As a result, it will contribute to maintaining psychological health and improving work efficiency. 【0915】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0916】 Step 1: 【0917】 The server acquires voice and facial expression data from sensors installed in the home robot. It receives signals from the sensors as input and converts them into digital data. The output is voice and facial expression data formatted in the format necessary for emotion analysis. Specifically, it converts the voice into text using speech recognition software and organizes the facial expression data using image processing algorithms. 【0918】 Step 2: 【0919】 The server runs an emotion recognition model based on the acquired voice and facial expression data. This process involves inputting data into the emotion analysis model to identify the user's emotional state (e.g., stress, relaxation). The output is a numerical or qualitative evaluation indicating the user's emotional state. Generative AI models are used to perform data analysis quickly and accurately. 【0920】 Step 3: 【0921】 The server automatically adjusts the notification schedule for electronic communication messages based on the user's emotional state. The input consists of the analyzed emotional state and a list of unread messages. Based on this, it determines the priority and timing of notifications and outputs an appropriate notification schedule. Specifically, it applies an algorithm to delay notifications for users experiencing stress. 【0922】 Step 4: 【0923】 The server retrieves schedule management data and optimizes the schedule based on the user's emotional state. The inputs are the retrieved electronic calendar data and the user's emotional state. If the user is in a high-stress state, the server automatically adjusts the schedule to reduce the burden and outputs a new schedule. It semi-automatically presents the user with suggested schedule changes. 【0924】 Step 5: 【0925】 The server retrieves task information and reprioritizes them based on the user's emotional state. The input is the current task information and the analyzed emotional state. The output is a list of re-evaluated task priorities. In particular, if the user is feeling anxious, calculations are performed to increase the importance of short-term tasks. 【0926】 Step 6: 【0927】 The device provides feedback to the user based on previous analysis and adjustment results. It receives schedule suggestions, task priorities, and notification schedules as input, and displays them in a user-friendly interface. The output is specific support information that allows the user to actually adjust their actions. This is communicated through voice guidance and on-screen notifications. 【0928】 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. 【0929】 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. 【0930】 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. 【0931】 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. 【0932】 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. 【0933】 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. 【0934】 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. 【0935】 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. 【0936】 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." 【0937】 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. 【0938】 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. 【0939】 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. 【0940】 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. 【0941】 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. 【0942】 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. 【0943】 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. 【0944】 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. 【0945】 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. 【0946】 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. 【0947】 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. 【0948】 All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference. 【0949】 The following is further disclosed regarding the embodiments described above. 【0950】 (Claim 1) 【0951】 A means by which an information processing device obtains electronic communication messages from an external database, 【0952】 A means for analyzing the content of the aforementioned electronic communication message and classifying it based on priority, 【0953】 A system including means for displaying electronic communication messages classified as user devices. 【0954】 (Claim 2) 【0955】 The system according to claim 1, comprising an information processing device that acquires electronic calendar data and means for suggesting an optimal time considering the schedules of other users. 【0956】 (Claim 3) 【0957】 The system according to claim 1, comprising an information processing device that receives task information and means for setting priorities based on importance and deadline. 【0958】 "Example 1" 【0959】 (Claim 1) 【0960】 A means by which an information processing device acquires electronic communication information from external storage, 【0961】 A means for analyzing the aforementioned electronic communication information, determining its importance using natural language processing, and emphasizing the display based on priority, 【0962】 A means of visually displaying analysis results on the user's device to encourage prompt action, 【0963】 A means of synchronizing user schedule information and suggesting the optimal schedule, 【0964】 A means of receiving task information and adjusting priorities based on deadlines, 【0965】 A means of updating progress and providing reminders, 【0966】 A system that includes this. 【0967】 (Claim 2) 【0968】 The system according to claim 1, comprising means for analyzing participants' schedules and suggesting the optimal time for sharing. 【0969】 (Claim 3) 【0970】 The system according to claim 1, comprising means for dynamically updating and visually displaying the priority of user-defined tasks. 【0971】 "Application Example 1" 【0972】 (Claim 1) 【0973】 A means by which an information processing device acquires electronic communication data from an external storage device, 【0974】 A means for analyzing the aforementioned electronic communication data and classifying it based on priority, 【0975】 A means for visually and audibly presenting electronic communication data classified on a user terminal, 【0976】 A means of managing users' activity schedules and providing optimal information, 【0977】 A system that includes means for optimizing user support using generative AI models. 【0978】 (Claim 2) 【0979】 The system according to claim 1, comprising an information processing device that acquires electronic schedule data and means for suggesting an optimal activity time considering the activity information of other users. 【0980】 (Claim 3) 【0981】 The system according to claim 1, comprising an information processing device that receives business information, sets priorities based on importance and deadline, and provides notifications by voice and visual means. 【0982】 "Example 2 of combining an emotion engine" 【0983】 (Claim 1) 【0984】 A means by which an information processing device acquires electronic communication data from an external storage medium, 【0985】 The aforementioned electronic communication data is analyzed using an emotion recognition algorithm, and means are used to adjust the notification timing according to the user's emotional state. 【0986】 A means for displaying electronic communication data classified by priority based on emotional state on a user terminal, 【0987】 A method for dynamically changing the priority of a task list using emotion recognition results, 【0988】 A system that includes means for generating and presenting recommended times based on user sentiment data. 【0989】 (Claim 2) 【0990】 The system according to claim 1, which adjusts electronic schedule information based on emotional data. 【0991】 (Claim 3) 【0992】 The system according to claim 1, which re-evaluates task priorities based on emotion recognition results. 【0993】 "Application example 2 when combining with an emotional engine" 【0994】 (Claim 1) 【0995】 A means by which an information processing device obtains electronic communication messages from an external database, 【0996】 A means for analyzing the content of the aforementioned electronic communication message and classifying it based on priority, 【0997】 A means of adjusting the timing of notifications according to the user's psychological state, 【0998】 A means for displaying electronic communication messages classified as user devices, 【0999】 A means of analyzing the user's emotional state, 【1000】 A means of adjusting electronic calendar data based on the user's emotional state, 【1001】 A means of resetting the priority of task information according to the user's emotional state, 【1002】 ... 【1003】 A system that includes this. 【1004】 (Claim 2) 【1005】 The system according to claim 1, comprising an information processing device that analyzes the user's emotional state and provides means for suggesting an optimal time. 【1006】 (Claim 3) 【1007】 The system according to claim 1, comprising an information processing device that receives the user's emotional state and means for resetting the priority of task information based on the emotion. [Explanation of symbols] 【1008】 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] A means by which an information processing device obtains electronic communication messages from an external database, A means for analyzing the content of the aforementioned electronic communication message and classifying it based on priority, A system including means for displaying electronic communication messages classified as user devices. [Claim 2] The system according to claim 1, comprising an information processing device that acquires electronic calendar data and means for suggesting an optimal time considering the schedules of other users. [Claim 3] The system according to claim 1, comprising an information processing device that receives task information and means for setting priorities based on importance and deadline.

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