system

Abstract

Provide a system. 【Solution means】 By an information processing device, means for receiving a task input by a user, analyzing the deadline and importance related to the task, and determining a priority; Means for setting a reminder based on the priority and sending a notification at the set time; By a schedule management device, means for collecting the schedules of a large number of users, analyzing the schedules, and automatically proposing an optimal meeting time; By a communication analysis device, means for analyzing the content of an electronic message, extracting important matters, and providing advice to avoid misunderstandings; Means for monitoring working hours and recommending breaks to prevent overwork; Means for analyzing regional activity data and notifying information related to residents; Means for analyzing transportation information and proposing an optimal travel method and time; Means for monitoring the health status and providing advice on maintaining health; A system including the above.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is 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 character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] The present invention aims to solve problems such as a decrease in work efficiency, insufficient communication, overwork, and mental health problems in a remote work environment, and to improve the productivity and health of users. This is due to the complexity of task management, the difficulty of schedule adjustment across time zones, the prevention of misunderstandings in communication, and the maintenance of an appropriate work-life balance.

Means for Solving the Problems

[0005] This invention provides a means for receiving user input tasks using an information processing device, analyzing deadlines and importance to determine priority, and providing notifications via reminders. Furthermore, a schedule management device aggregates and analyzes the schedules of multiple users and automatically suggests optimal meeting times. In addition, a communication analysis device analyzes the content of electronic messages, extracts important information, and provides advice to ensure clear communication. Moreover, it includes means for monitoring work hours to recommend breaks to prevent overwork, summarizing user input using natural language processing technology, and recommending necessary actions. This can improve users' work efficiency and quality of life.

[0006] An "information processing device" is a device that receives input from a user, analyzes the data, and executes the instructed processing.

[0007] "User" refers to an individual or organization that uses this system for task management, scheduling, and communication.

[0008] "Tasks" refer to the work or tasks that users input into this system and that are to be processed.

[0009] "Deadline" refers to the date and time when a particular task must be completed.

[0010] "Importance" refers to the impact and value that a task's completion will bring, which is considered when determining the priority of a task.

[0011] "Priority" refers to an indicator that shows the relative urgency of implementation for multiple tasks.

[0012] A "reminder" refers to a function that notifies users in advance to perform specific tasks.

[0013] A "schedule management device" is a device that aggregates the schedules of multiple users and enables efficient schedule adjustment.

[0014] "User" refers to an individual or group having a calendar to be subject to schedule adjustment.

[0015] "Schedule" refers to a future activity plan recorded by a user or a person using the service.

[0016] "Communication analysis device" is a device that analyzes the content of electronic messages between users and extracts important information.

[0017] "Electronic message" refers to a digital communication message including emails and chats.

[0018] "Natural language processing technology" refers to a technology for a computer to understand and process human language.

Brief Description of Drawings

[0019] [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]Shows an emotion map to which a plurality of emotions are mapped. [Figure 10] Shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when the emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of the data processing system in Application Example 2 when the emotion engine is combined.

Mode for Carrying Out the Invention

[0020] 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.

[0021] First, the terms used in the following description will be described.

[0022] In the following embodiments, the labeled processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of a plurality of arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of a plurality of 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.

[0023] In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor.

[0024] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0025] 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).

[0026] 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."

[0027] [First Embodiment]

[0028] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0029] 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.

[0030] 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).

[0031] 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.

[0032] 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.

[0033] 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.

[0034] 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.

[0035] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0036] 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.

[0037] 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.

[0038] 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.

[0039] 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".

[0040] The system of the present invention consists of an information processing device, a schedule management device, and a communication analysis device, thereby enabling users to efficiently perform their tasks while working remotely.

[0041] First, the information processing device receives the task details, deadlines, and importance levels entered by the user, and an AI module analyzes this information. Based on the analysis, it determines the priority of each task and notifies the user in a timely manner via reminders. This function helps users process tasks in the appropriate order without forgetting them.

[0042] The scheduling system centrally collects the schedules of users and other users, and suggests the optimal timing for meetings. This allows for smooth coordination across time zones, supporting efficient meeting scheduling even amidst busy schedules.

[0043] The communication analysis device has the function of analyzing electronic messages received by users in real time and extracting important points and action items. This allows users to grasp the necessary information more quickly and receive advice that prevents misunderstandings.

[0044] Furthermore, it utilizes natural language processing technology to summarize the user's work and suggest appropriate actions. It also monitors the user's work time to recommend breaks to prevent overwork. This entire system works together to provide strong support for users to maintain an optimal work-life balance while working remotely.

[0045] For example, when a user enters "Create Weekly Report" as a task, the information processing device considers upcoming deadlines and the importance of other tasks, sets the task's priority, and issues a timely reminder. The scheduling device considers the schedules of all team members and suggests that Friday afternoon is the optimal time for a meeting. When instructions from a supervisor arrive as an electronic message, the communication analysis device analyzes the key points and advises on how to address any unclear wording. As described above, each device works in harmony, allowing users to engage in their work efficiently.

[0046] The following describes the processing flow.

[0047] Step 1:

[0048] The terminal receives task input from the user and retrieves basic information such as content, deadline, and importance. The terminal then prepares to pass this data to an internal AI module.

[0049] Step 2:

[0050] The terminal's AI module analyzes the received business data and executes a priority determination algorithm. This algorithm calculates the priority based on the importance and deadline of the tasks.

[0051] Step 3:

[0052] The terminal sets reminders for each task based on calculated priorities. This setting information is registered in the calendar system and scheduled to notify the user at the specified time.

[0053] Step 4:

[0054] The server collects schedule data from numerous users and stores it in an integrated database. The server then analyzes this data to calculate the optimal meeting time.

[0055] Step 5:

[0056] The server suggests the optimal time slot to the user and updates each user's calendar so that the meeting is scheduled for that time. If necessary, it also provides optimized suggestions for users in different time zones.

[0057] Step 6:

[0058] The device receives the user's electronic messages in real time and automatically analyzes their content. Natural language processing is used to extract key points and action items.

[0059] Step 7:

[0060] Based on the extraction results, the device will provide the user with necessary advice. It will also notify them of any necessary wording revisions to prevent misunderstandings and points to check.

[0061] Step 8:

[0062] The device monitors the user's work time, and if continuous work for a certain period is detected, it activates a notification function that suggests the user needs a break.

[0063] Step 9:

[0064] The device generates long-term health advice based on the user's work activities and notifies the user periodically. This notification includes tips for preventing overwork and working efficiently.

[0065] (Example 1)

[0066] 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."

[0067] In today's remote work environment, a wide variety of tasks arise, making it difficult to perform them efficiently. In particular, prioritizing tasks, efficient schedule management, quickly grasping important messages, and receiving appropriate advice to prevent overwork are essential. There is a need to comprehensively address these challenges and improve users' productivity and work-life balance.

[0068] 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.

[0069] In this invention, the server includes means for receiving tasks entered by users via an information processing device, analyzing the deadlines and importance of the tasks, and determining their priority; means for collecting the schedules of numerous users via a schedule management device, analyzing the schedules, and automatically proposing optimal meeting times; and means for analyzing the content of electronic communications via a communication analysis device, extracting necessary information, and providing advice to avoid misunderstandings. This makes it possible to appropriately set the priority of each task, build an efficient schedule, and quickly grasp important information. Furthermore, by utilizing a generative AI model, even more advanced analysis and suggestions become possible, providing support for users to achieve an optimal work-life balance.

[0070] An "information processing device" is a device that receives business information entered by users, and then performs analysis, prioritizes, and sets reminders related to that information.

[0071] A "generative AI model" is a type of artificial intelligence used for data analysis and prediction, and is a tool for calculating the optimal execution order of a user's tasks.

[0072] A "schedule management device" is a device that aggregates the schedules of multiple users, analyzes their plans, and automatically suggests the optimal meeting time.

[0073] A "communication analysis device" is a device equipped with the function of analyzing the content of electronic communications, extracting necessary information, and providing advice to avoid misunderstandings.

[0074] "Natural language processing technology" is a technology that enables computers to understand and process human language, including extracting key points from messages and presenting them to users.

[0075] "Priority" is an indicator that shows which tasks a user should perform and in what order, and it is determined based on the analysis results.

[0076] A "reminder" is a notification function that informs users of the existence of a task at a set time.

[0077] The "rest suggestion to prevent overwork" function monitors the user's working hours and suggests appropriate times for taking breaks.

[0078] This invention comprises an information processing device, a schedule management device, and a communication analysis device, and is a system that supports users in efficiently performing their work remotely. A specific embodiment of this system is described below.

[0079] The information processing device receives task details, deadlines, and importance levels entered by users, and performs analysis on this information using a generative AI model. This model analyzes historical data and relevant external information to determine task priorities. For example, if a user enters "Create weekly report," the information processing device sets the priority of this task compared to other tasks and generates a timely reminder to notify the user.

[0080] The schedule management system aggregates users' schedules on a server and automatically suggests the optimal meeting time. The server analyzes the schedules of multiple users, taking time zones into consideration, and selects the best time. For example, if it finds that all members are free on Friday afternoon, it suggests that time as the meeting time.

[0081] The communication analysis device analyzes the content of electronic communications messages in real time on a server. This device uses natural language processing technology to extract important points and necessary actions from the messages. Based on the analyzed information, the server provides advice to avoid misunderstandings and presents it to the user's terminal. For example, it can analyze an instruction email from a supervisor, highlight important elements, and notify the user.

[0082] Furthermore, the server monitors working hours and suggests breaks to prevent overwork. This suggestion is made automatically when a user is working for extended periods. For example, a user can enter a prompt such as, "Please prioritize weekly reports and suggest optimal meeting times."

[0083] As described above, this invention utilizes generative AI models and related technologies to provide powerful support for users to work remotely efficiently and healthily.

[0084] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0085] Step 1:

[0086] The user enters the task details, deadline, and importance level via a terminal. This information is sent from the terminal to the server. The server records this input in a database. Specifically, it verifies that the entered data is saved accurately and notifies the user when saving is complete.

[0087] Step 2:

[0088] The server inputs business data stored in the database into a generating AI model. The generating AI model analyzes the priority of each task, and calculates the optimal priority by referring to past data and related information. Data calculations are performed during this process, and results are obtained that evaluate the relative importance of the tasks. The server then saves the results back into the database.

[0089] Step 3:

[0090] The server sets reminders based on prioritized tasks. The set reminder information, along with the notification time, is sent to the user's device. The device displays the reminder notification at the specified time. This step supports more efficient work progress.

[0091] Step 4:

[0092] The server aggregates the schedules of multiple users through the schedule management device and performs analysis to propose the optimal meeting time. It receives schedule data as input and generates proposed meeting times as output. For example, this may include analyzing the availability of all members, selecting the optimal time slot, and notifying each terminal of the result.

[0093] Step 5:

[0094] The server analyzes electronic messages received by the user using a communication analysis device. It receives the message content as input and extracts key points and action points using natural language processing technology. The extracted information is provided to the user's terminal as important information, and advice is automatically added.

[0095] Step 6:

[0096] The server monitors working hours and determines the appropriate time for users to take breaks. It uses current work time data as input and generates break suggestions as output. These suggestions are sent to the terminal and displayed to the user. These suggestions include specific actions to inform the user when they should take a break after prolonged work.

[0097] (Application Example 1)

[0098] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0099] In modern living environments, improving individual work efficiency and enhancing quality of life are crucial. However, with the spread of remote work and increasing urbanization, managing personal schedules and maintaining health has become more complex and time-consuming. Therefore, there is a need for the development of an integrated support system that simultaneously improves individual work efficiency and quality of life.

[0100] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0101] In this invention, the server includes means for receiving tasks entered by users via an information processing device, analyzing the deadlines and importance of the tasks, and determining priorities; means for analyzing the schedules of multiple users via a schedule management device and automatically suggesting optimal meeting times; means for extracting important information from electronic messages and providing advice via a communication analysis device; means for analyzing local activity data and notifying residents of information relevant to them; means for analyzing transportation information and suggesting optimal travel methods and times; and means for monitoring health status and providing advice for maintaining health. This makes it possible to optimize the user's work efficiency and schedule management, and to support an improvement in their quality of life.

[0102] An "information processing device" is a device that receives data related to tasks entered by users, analyzes that data, and determines the priority of those tasks.

[0103] A "schedule management device" is a device that collects the schedules of multiple users and automatically suggests the most suitable meeting time from among them.

[0104] A "communication analysis device" is a device that analyzes the content of electronic messages, extracts important information, and provides advice to avoid misunderstandings.

[0105] "Local activity data" refers to data about events and activities in which residents and the local community are involved, and is used to notify residents of relevant information.

[0106] "Transportation information" refers to data on the operating status and schedule of public transportation, which is analyzed to suggest the most suitable travel method and departure time to users.

[0107] "Health monitoring" refers to activities that observe and record a user's physical activity and health parameters, and provide advice to help them maintain their health.

[0108] The system that realizes this invention consists of multiple devices, such as an information processing device, a schedule management device, and a communication analysis device. This system works in cooperation with each other to improve the user's work efficiency. Specifically, the information processing device analyzes the tasks entered by the user and determines their priority. An AI module for data analysis is used for this purpose.

[0109] Based on the analysis results, the server sets reminders and sends notifications at the specified time. The scheduling system also collects the schedules of numerous users and suggests optimal meeting times. This enables smooth meeting scheduling even across multiple time zones.

[0110] Furthermore, the communication analysis device analyzes the content of electronic messages in real time, extracts important information, and provides users with advice to prevent misunderstandings. In addition, local activity data and transportation information are also analyzed, and this analysis allows for timely notification of information that is beneficial to residents.

[0111] For example, if a user inputs "I want to optimize my schedule for tomorrow," the system analyzes all of the user's tasks and appointments and makes suggestions. The schedule management device presents a schedule that takes optimal travel time into account and provides optimal route information for public transportation. The health monitoring device recommends regular breaks and exercise to prevent the user from becoming overworked.

[0112] An example of a prompt using a generative AI model is a request such as, "Recommend local events that the user is interested in and generate an optimal participation schedule."

[0113] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0114] Step 1:

[0115] The server receives information from users as input, such as task details, deadlines, and importance. Based on this input data, an AI module performs data analysis and calculates the priority of each task. The priority is quantified based on the urgency and importance of the task.

[0116] Step 2:

[0117] The server automatically sets reminders based on the priority obtained in Step 1. The set reminder information is processed so that it is notified to the user's terminal. This ensures that the user does not forget their tasks and receives reminders at the appropriate time.

[0118] Step 3:

[0119] The scheduling system collects schedule data from numerous users as input. Based on this data, it proposes the optimal meeting time. In this process, AI analyzes the data, taking into account time zones and each user's availability. As output, the proposed meeting time is notified to the user.

[0120] Step 4:

[0121] The communication analysis device analyzes received electronic messages as input. This analysis utilizes NLP (Neuro-Linguistic Programming) technology to extract important information and action items. The analysis results are output as advice for the user.

[0122] Step 5:

[0123] The server receives local activity data as input and extracts relevant information. An AI model analyzes this data and generates useful information for the user. The generated information is then notified to the user's terminal.

[0124] Step 6:

[0125] The server collects transportation information and calculates the optimal travel method and time. Based on the input data, it analyzes routes and timetables and proposes the best route to the user as output.

[0126] Step 7:

[0127] The health monitoring device collects the user's physical activity data as input. Based on this data, it generates advice on maintaining the user's health. The generated advice is then notified to the user's terminal.

[0128] 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.

[0129] This invention is a system that incorporates an emotion engine in addition to an information processing device, a schedule management device, and a communication analysis device. This makes it possible to provide more optimal support for remote work by taking into account the user's emotional state.

[0130] First, the information processing device receives business data entered by the user, and an AI module analyzes its deadlines and importance. Based on the results, it sets priorities and notifies the user using a reminder function. The schedule management device centrally manages the schedules of the user and related users and coordinates meetings.

[0131] The communication analysis device analyzes electronic messages received by users using natural language processing technology, extracting important information and key points. It then provides advice to avoid misunderstandings based on the content. Furthermore, it monitors working hours and recommends appropriate breaks to prevent overwork.

[0132] In addition, the emotion engine analyzes the user's voice input, text, and behavioral patterns to identify their emotions. This information is used to prioritize tasks, optimize communication methods, and suggest stress reduction measures. For example, if the emotion engine determines that a user is experiencing high stress, the device will recommend taking a break and suggest performing a light refreshing task. It also helps users make important decisions in a relaxed state by implementing emotion-appropriate communication methods.

[0133] These features provide comprehensive support to help users maintain productivity and protect their health in a remote work environment. Thus, this invention is groundbreaking in that it leverages the user's emotional state in various situations to provide a individually optimized work environment.

[0134] The following describes the processing flow.

[0135] Step 1:

[0136] The user inputs business data into a terminal. The terminal transmits the received data to an information processing device, which stores the details of the work, deadline, importance, etc., in a database.

[0137] Step 2:

[0138] The information processing device passes the received business data to the AI ​​module and begins analysis. The AI ​​module applies an algorithm to determine the priority of the tasks. Based on this result, it generates a priority list and sends it back to the terminal.

[0139] Step 3:

[0140] The device receives a priority list and uses the reminder function to set notification times for each task. It then registers these tasks in the user's calendar so that notifications are sent at the appropriate time.

[0141] Step 4:

[0142] The server uses a scheduling device to centrally collect and store the schedules of users and related parties in a database. Based on the collected data, analysis is performed to determine the optimal meeting time.

[0143] Step 5:

[0144] The server suggests optimized time slots for meetings to the user. The automatically adjusted meeting time is reflected in the user's calendar, and all stakeholders are notified.

[0145] Step 6:

[0146] The terminal uses a communication analysis device to analyze electronic messages received by the user in real time. Using natural language processing technology, it extracts important information and action items and displays the results.

[0147] Step 7:

[0148] The on-device emotion engine collects and analyzes the user's voice input, text, and interaction patterns to identify the user's emotional state. Based on this information, it adjusts work priorities, reminder frequencies, and stress management strategies.

[0149] Step 8:

[0150] The device provides the user with appropriate feedback based on the analysis results of the emotion engine. If high stress is detected, it will notify the user with suggestions for taking a break and advice on how to refresh themselves.

[0151] Step 9:

[0152] Based on user feedback, the device makes further adjustments and continuously updates the feedback as needed. It integrates emotional and operational data to provide an optimal work environment, controlling the entire system in a unified manner.

[0153] (Example 2)

[0154] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0155] As remote work becomes more widespread, there is a need to maximize individual work efficiency while maintaining the health of workers. However, current systems are insufficient for prioritizing tasks, managing schedules, avoiding misunderstandings in electronic communications, and ensuring healthy working hours, and in particular, they lack support that takes into account the emotional state of workers. Therefore, a new system is needed to improve productivity while reducing stress.

[0156] 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.

[0157] In this invention, the server includes means for receiving tasks entered by users using an information processing device, analyzing the deadline and importance of the tasks, and determining their priority; means for collecting the schedules of multiple users using a schedule management device, analyzing the schedules, and automatically suggesting the optimal meeting time; and means for evaluating the emotional state of users using an emotion analysis device, and optimizing task prioritization and communication methods based on the evaluation. This enables efficient management of work and the provision of appropriate stress reduction measures.

[0158] An "information processing device" is a device that receives data entered by a user, analyzes its contents using a specific algorithm, and has the function of determining the priority and importance of tasks.

[0159] A "schedule management device" is a device that aggregates schedule information from a large number of users and automatically suggests the optimal time for meetings and gatherings based on data analysis.

[0160] An "information analysis device" is a device that analyzes the content of electronic communications and messages, extracts important information, and provides advice to avoid misunderstandings.

[0161] "Emotional analysis tools" are methods used to evaluate a user's emotional state based on their voice, text, and behavioral data, and to optimize tasks and communication methods.

[0162] "Priority" refers to the order in which tasks are assigned, based on their importance and urgency, when multiple tasks exist.

[0163] "Advice to avoid misunderstandings" refers to instructions or suggestions in electronic communications that aim to eliminate ambiguity and unclearness in content and expression, ensuring that the intended information is accurately conveyed to the recipient.

[0164] This invention provides a system integrating an information processing device, a schedule management device, an information analysis device, and an emotion analysis means, thereby improving the user's work efficiency and health. Specific embodiments for carrying out the invention are described below.

[0165] First, the user inputs work-related data into a terminal. This could be a computer or smart device they normally use. The server receives the input data and uses an information processing device to analyze it based on its deadline and importance. For this analysis, it is possible to use a generated AI model as an AI module.

[0166] The server uses the results of data analysis to determine task priorities. Based on these priorities, a notification function is configured, and alerts are sent to the user via their device. Specifically, tasks that should be completed first are notified via push notifications.

[0167] Furthermore, the terminal uses a scheduling device to manage the schedules of the user and related users. This allows AI to automatically suggest the optimal meeting time. For example, it is possible to find common free time slots and set up online meetings.

[0168] Furthermore, the information analysis device analyzes emails and messages received by the terminal and extracts important information. This function allows users to receive advice to avoid misunderstandings as needed. Suggestions for removing ambiguity from messages are one example.

[0169] The emotion analysis system collects user voice and behavioral data and evaluates their emotional state on a server. The results of the emotion analysis are used to optimize work priorities and improve communication methods. If a user is experiencing high stress levels, lighter tasks may be suggested to promote relaxation.

[0170] As a concrete example, here is an example of a prompt message to a generative AI model: "Evaluate the user's stress level based on their emotional data and suggest appropriate ways to refresh themselves."

[0171] This configuration allows the system to comprehensively support improved productivity and health maintenance in remote work environments.

[0172] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0173] Step 1:

[0174] Users input work-related data into a terminal. This input includes information such as task name, deadline, and proposed priority. This data is sent directly to the server. The data received by the server includes the task name, content, deadline, and predicted priority.

[0175] Step 2:

[0176] Upon receiving the transmitted business data, the server uses an information processing device to analyze the task deadlines and importance using the generated AI model within the AI ​​module. This analysis calculates the execution priority of each task. The input data is the business data sent in step 1, and the output data is the optimal priority for each task generated by the server.

[0177] Step 3:

[0178] The device receives priority information sent from the server and configures its notification function. This function is responsible for sending alerts to the user in order of priority, based on the set time. Specifically, digital calendars and reminder apps provide visual and auditory notifications.

[0179] Step 4:

[0180] Users enter their schedules into a terminal via a scheduling device. This schedule information includes individual appointments, free time slots, and meeting schedules. This input information is immediately transmitted to the server.

[0181] Step 5:

[0182] The server uses a scheduling device to collect the schedules of the user and other related users, and analyzes the data so that AI can automatically suggest optimal meeting and gathering times. The input is each user's schedule information, and the output is the suggested meeting and gathering times. In this process, the most efficient schedule is suggested by the AI.

[0183] Step 6:

[0184] The terminal notifies the user of the optimal meeting time suggested by the server and adjusts the schedule as needed. The user then uses this information to adjust their own schedule.

[0185] Step 7:

[0186] Electronic messages received from users are parsed on the terminal using natural language processing techniques. Here, the key elements and main points of the message are extracted. The input to the processing is the entire received message, and the output is a summarized key message and advice based on the parsing.

[0187] Step 8:

[0188] Based on the key points analyzed, the server generates advice to avoid misunderstandings and provides it to the user through the terminal. This may include suggestions such as translating ambiguous expressions into specific instructions.

[0189] Step 9:

[0190] The terminal monitors the user's working hours and sends a notification to the server if it detects signs of excessive work. The server then generates a message recommending appropriate rest to the user and notifies the user via the terminal. This notification includes automatically suggested relaxation methods.

[0191] Step 10:

[0192] The user's emotional state is evaluated by an emotion analysis tool based on voice, text, and behavioral patterns collected via the device. Input data consists of user behavior-related information, while output data represents the analyzed emotional state. This optimizes work settings and communication to align with the user's emotional state.

[0193] Step 11:

[0194] The server uses the results of emotion analysis to generate support and suggestions tailored to the user's emotional state and notifies the user via the terminal. For example, if the emotion engine detects high stress, the server will suggest ways to refresh. Specifically, it will suggest performing a light refreshing task.

[0195] (Application Example 2)

[0196] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0197] In modern society, remote work is becoming commonplace, but at the same time, it is raising concerns about the health and mental stress of individual workers. In particular, maintaining work efficiency while providing an optimal work environment tailored to the user's emotional state is challenging. Furthermore, it is necessary to deliver timely notifications to users regarding important tasks and information. Therefore, there is a growing need for systems that support remote work optimized for individual users.

[0198] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0199] In this invention, the server includes means for receiving tasks entered by the user via an information processing device, analyzing the deadline and importance of the tasks, and determining priority; means for setting reminders based on the priority and notifying at the set time; means for collecting the schedules of multiple users via a schedule management device, analyzing the schedules, and automatically suggesting the optimal meeting time; means for analyzing the content of electronic messages via a communication analysis device, extracting important information, and providing advice to avoid misunderstandings; means for monitoring work hours and recommending breaks to prevent overwork; means for analyzing the user's emotional state via an emotion engine, optimizing the work environment based on the emotional state, and suggesting stress reduction measures; and means for notifying the user of important information via voice using speech synthesis. This enables comprehensive and optimized remote work support tailored to the user's emotional state.

[0200] An "information processing device" is a device that receives business data entered by a user, analyzes the deadlines and importance of that business, and determines its priority.

[0201] A "reminder" is a function that notifies the user at a specified time based on the set priority.

[0202] A "schedule management device" is a device that collects the schedules of multiple users and analyzes and suggests the optimal meeting times.

[0203] A "communication analysis device" is a device that analyzes the content of electronic messages, extracts important information, and provides advice to avoid misunderstandings.

[0204] The "emotion engine" is an engine that analyzes the user's emotional state and proposes optimized work environments and stress reduction measures tailored to those emotions.

[0205] "Speech synthesis" is a technology that transmits information generated by a computer to the user as speech.

[0206] "Recommending breaks to prevent overwork" is a function that monitors working hours and prompts users to take breaks as needed.

[0207] The system for implementing this invention is constructed by integrating an information processing device, a schedule management device, a communication analysis device, an emotion engine, and a speech synthesis function. These components work together to comprehensively support the user's remote work.

[0208] The server receives user-entered work data through an information processing device, analyzes the deadlines and importance of the tasks, and determines priorities. Reminders are set based on the priorities, and users are notified at the appropriate time. The scheduling device centrally manages the schedules of multiple users and automatically suggests optimal meeting times.

[0209] Communication analysis devices analyze the content of electronic messages and extract important information to provide advice to prevent users from misunderstanding. This supports the smooth progress of business operations.

[0210] Furthermore, the emotion engine analyzes the user's voice input and behavioral patterns to identify their emotional state, and based on the results, it proposes optimizations for the work environment and stress reduction measures. For example, if the device determines that the user is in a high-stress state, it will recommend taking a break and play relaxing music.

[0211] Using speech synthesis technology, it's also possible to convey important information to users via voice. This reduces the time spent reading text information directly, allowing for more efficient information acquisition.

[0212] The system is built using an emotion engine (e.g., a general emotion analysis API), a speech synthesis API (e.g., a general speech synthesis technology), a schedule management API (e.g., a general calendar service), and natural language processing technology suitable for communication analysis devices.

[0213] A concrete example is when a user asks, "What kind of music is suitable for relaxing while working remotely?" and a generative AI model provides recommendations. In this way, the user can obtain a customized work experience based on their emotional state.

[0214] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0215] Step 1:

[0216] The server receives business data from users. This data includes details of the tasks, deadlines, and importance levels. The server takes this data as input and uses an information processing device to analyze it. It calculates priority levels based on deadlines and importance levels and outputs the information necessary for setting reminders.

[0217] Step 2:

[0218] The terminal uses a scheduling device to collect the schedules of the user and related users. This data is used as input for analysis to avoid scheduling conflicts. The analysis results are output, and the system automatically suggests optimal meeting times. These suggestions are optimized based on the user's schedule, ensuring efficient time allocation.

[0219] Step 3:

[0220] The server uses a communication analysis device to analyze electronic messages received by users. It extracts important information from the input messages and uses natural language processing techniques to generate advice to avoid misunderstandings. By outputting these results and providing them to the user, it supports smooth communication.

[0221] Step 4:

[0222] The device analyzes the user's voice input and behavioral patterns using an emotion engine. This data is used as input to identify the emotional state. The identification result is then output, generating information to suggest stress reduction measures and work environment optimizations tailored to the corresponding emotion. This method enables users to manage stress effectively.

[0223] Step 5:

[0224] The device uses speech synthesis to notify the user of important information via voice. Based on the output of the emotion engine, a generative AI model is used to generate appropriate responses as prompts, which are then communicated to the user using speech synthesis technology. This voice notification is an effective means of reducing the time users spend reading text information.

[0225] 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.

[0226] 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.

[0227] 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.

[0228] [Second Embodiment]

[0229] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0230] 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.

[0231] 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).

[0232] 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.

[0233] 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.

[0234] 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).

[0235] 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.

[0236] 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.

[0237] 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.

[0238] 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.

[0239] 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.

[0240] 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".

[0241] The system of the present invention consists of an information processing device, a schedule management device, and a communication analysis device, thereby enabling users to efficiently perform their tasks while working remotely.

[0242] First, the information processing device receives the task details, deadlines, and importance levels entered by the user, and an AI module analyzes this information. Based on the analysis, it determines the priority of each task and notifies the user in a timely manner via reminders. This function helps users process tasks in the appropriate order without forgetting them.

[0243] The scheduling system centrally collects the schedules of users and other users, and suggests the optimal timing for meetings. This allows for smooth coordination across time zones, supporting efficient meeting scheduling even amidst busy schedules.

[0244] The communication analysis device has the function of analyzing electronic messages received by users in real time and extracting important points and action items. This allows users to grasp the necessary information more quickly and receive advice that prevents misunderstandings.

[0245] Furthermore, it utilizes natural language processing technology to summarize the user's work and suggest appropriate actions. It also monitors the user's work time to recommend breaks to prevent overwork. This entire system works together to provide strong support for users to maintain an optimal work-life balance while working remotely.

[0246] For example, when a user enters "Create Weekly Report" as a task, the information processing device considers upcoming deadlines and the importance of other tasks, sets the task's priority, and issues a timely reminder. The scheduling device considers the schedules of all team members and suggests that Friday afternoon is the optimal time for a meeting. When instructions from a supervisor arrive as an electronic message, the communication analysis device analyzes the key points and advises on how to address any unclear wording. As described above, each device works in harmony, allowing users to engage in their work efficiently.

[0247] The following describes the processing flow.

[0248] Step 1:

[0249] The terminal receives task input from the user and retrieves basic information such as content, deadline, and importance. The terminal then prepares to pass this data to an internal AI module.

[0250] Step 2:

[0251] The terminal's AI module analyzes the received business data and executes a priority determination algorithm. This algorithm calculates the priority based on the importance and deadline of the tasks.

[0252] Step 3:

[0253] The terminal sets reminders for each task based on calculated priorities. This setting information is registered in the calendar system and scheduled to notify the user at the specified time.

[0254] Step 4:

[0255] The server collects schedule data from numerous users and stores it in an integrated database. The server then analyzes this data to calculate the optimal meeting time.

[0256] Step 5:

[0257] The server suggests the optimal time slot to the user and updates each user's calendar so that the meeting is scheduled for that time. If necessary, it also provides optimized suggestions for users in different time zones.

[0258] Step 6:

[0259] The device receives the user's electronic messages in real time and automatically analyzes their content. Natural language processing is used to extract key points and action items.

[0260] Step 7:

[0261] Based on the extraction results, the device will provide the user with necessary advice. It will also notify them of any necessary wording revisions to prevent misunderstandings and points to check.

[0262] Step 8:

[0263] The device monitors the user's work time, and if continuous work for a certain period is detected, it activates a notification function that suggests the user needs a break.

[0264] Step 9:

[0265] The device generates long-term health advice based on the user's work activities and notifies the user periodically. This notification includes tips for preventing overwork and working efficiently.

[0266] (Example 1)

[0267] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0268] In today's remote work environment, a wide variety of tasks arise, making it difficult to perform them efficiently. In particular, prioritizing tasks, efficient schedule management, quickly grasping important messages, and receiving appropriate advice to prevent overwork are essential. There is a need to comprehensively address these challenges and improve users' productivity and work-life balance.

[0269] 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.

[0270] In this invention, the server includes means for receiving tasks entered by users via an information processing device, analyzing the deadlines and importance of the tasks, and determining their priority; means for collecting the schedules of numerous users via a schedule management device, analyzing the schedules, and automatically proposing optimal meeting times; and means for analyzing the content of electronic communications via a communication analysis device, extracting necessary information, and providing advice to avoid misunderstandings. This makes it possible to appropriately set the priority of each task, build an efficient schedule, and quickly grasp important information. Furthermore, by utilizing a generative AI model, even more advanced analysis and suggestions become possible, providing support for users to achieve an optimal work-life balance.

[0271] An "information processing device" is a device that receives business information entered by users, and then performs analysis, prioritizes, and sets reminders related to that information.

[0272] A "generative AI model" is a type of artificial intelligence used for data analysis and prediction, and is a tool for calculating the optimal execution order of a user's tasks.

[0273] A "schedule management device" is a device that aggregates the schedules of multiple users, analyzes their plans, and automatically suggests the optimal meeting time.

[0274] A "communication analysis device" is a device equipped with the function of analyzing the content of electronic communications, extracting necessary information, and providing advice to avoid misunderstandings.

[0275] "Natural language processing technology" is a technology that enables computers to understand and process human language, including extracting key points from messages and presenting them to users.

[0276] "Priority" is an indicator that shows which tasks a user should perform and in what order, and it is determined based on the analysis results.

[0277] A "reminder" is a notification function that informs users of the existence of a task at a set time.

[0278] The "rest suggestion to prevent overwork" function monitors the user's working hours and suggests appropriate times for taking breaks.

[0279] This invention comprises an information processing device, a schedule management device, and a communication analysis device, and is a system that supports users in efficiently performing their work remotely. A specific embodiment of this system is described below.

[0280] The information processing device receives task details, deadlines, and importance levels entered by users, and performs analysis on this information using a generative AI model. This model analyzes historical data and relevant external information to determine task priorities. For example, if a user enters "Create weekly report," the information processing device sets the priority of this task compared to other tasks and generates a timely reminder to notify the user.

[0281] The schedule management system aggregates users' schedules on a server and automatically suggests the optimal meeting time. The server analyzes the schedules of multiple users, taking time zones into consideration, and selects the best time. For example, if it finds that all members are free on Friday afternoon, it suggests that time as the meeting time.

[0282] The communication analysis device analyzes the content of electronic communications messages in real time on a server. This device uses natural language processing technology to extract important points and necessary actions from the messages. Based on the analyzed information, the server provides advice to avoid misunderstandings and presents it to the user's terminal. For example, it can analyze an instruction email from a supervisor, highlight important elements, and notify the user.

[0283] Furthermore, the server monitors the working hours and proposes breaks to the users to prevent overwork. This proposal is automatically made when the user is continuing to work for a long time. As a specific example, it is possible for the user to input a prompt sentence such as "Set the priority of the weekly report and propose the optimal meeting time."

[0284] As described above, this invention makes full use of the generative AI model and related technologies, and provides powerful support for users to perform remote work efficiently and healthily.

[0285] The flow of the specific process in Example 1 will be described using FIG. 11.

[0286] Step 1:

[0287] The user inputs the work content, deadline, and importance via the terminal. This input information is sent from the terminal to the server. The server records these inputs in the database. As a specific operation, it is confirmed whether the input data is accurately saved, and the user is notified that the saving is completed.

[0288] Step 2:

[0289] The server inputs the work data saved in the database into the generative AI model. The generative AI model analyzes the priority of each work and calculates the optimal priority by referring to past data and related information. Data calculations are performed in this process, and a result evaluating the relative importance between works is obtained. The server saves the result in the database again.

[0290] Step 3:

[0291] The server sets a reminder based on the work with the determined priority. The set reminder information is sent to the user's terminal together with the notification time. The terminal displays the reminder notification at the specified time. In this step, the progress of more efficient work is supported.

[0292] Step 4:

[0293] The server aggregates the schedules of multiple users through the schedule management device and performs analysis to propose the optimal meeting time. It receives schedule data as input and generates proposed meeting times as output. For example, this may include analyzing the availability of all members, selecting the optimal time slot, and notifying each terminal of the result.

[0294] Step 5:

[0295] The server analyzes electronic messages received by the user using a communication analysis device. It receives the message content as input and extracts key points and action points using natural language processing technology. The extracted information is provided to the user's terminal as important information, and advice is automatically added.

[0296] Step 6:

[0297] The server monitors working hours and determines the appropriate time for users to take breaks. It uses current work time data as input and generates break suggestions as output. These suggestions are sent to the terminal and displayed to the user. These suggestions include specific actions to inform the user when they should take a break after prolonged work.

[0298] (Application Example 1)

[0299] 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."

[0300] In modern living environments, improving individual work efficiency and enhancing quality of life are crucial. However, with the spread of remote work and increasing urbanization, managing personal schedules and maintaining health has become more complex and time-consuming. Therefore, there is a need for the development of an integrated support system that simultaneously improves individual work efficiency and quality of life.

[0301] The specific processing by the specific processing unit 290 of the data processing apparatus 12 in Application Example 1 is realized by the following respective means.

[0302] In this invention, the server includes: means for receiving, by an information processing apparatus, the tasks input by the user, analyzing the deadlines and importance related to the tasks, and determining the priorities; means for automatically proposing an optimal meeting time by analyzing the schedules of a large number of users by a schedule management apparatus; means for extracting important matters from electronic messages and providing advice by a communication analysis apparatus; means for analyzing the activity data of the region and notifying the residents of relevant information; means for analyzing the information of transportation agencies and proposing an optimal travel method and time; and means for monitoring the health status and providing advice on maintaining health. Thereby, it becomes possible to optimize the business efficiency and schedule management of the user and to provide support for improving the quality of life.

[0303] The "information processing apparatus" is an apparatus that receives data related to the tasks input by the user, analyzes the data, and determines the priorities of the tasks.

[0304] The "schedule management apparatus" is an apparatus that collects the schedules of a plurality of users and automatically proposes an optimal meeting time from them.

[0305] The "communication analysis apparatus" is an apparatus that analyzes the content of electronic messages, extracts important information, and further provides advice to avoid misunderstandings.

[0306] The "activity data of the region" is data related to events and activities in which residents and the local community are involved, and is used to notify residents of relevant information.

[0307] The "information of transportation agencies" is data related to the operation status and time of public transportation, and is analyzed to propose an optimal travel method and departure time to users.

[0308] "Health monitoring" refers to activities that observe and record a user's physical activity and health parameters, and provide advice to help them maintain their health.

[0309] The system that realizes this invention consists of multiple devices, such as an information processing device, a schedule management device, and a communication analysis device. This system works in cooperation with each other to improve the user's work efficiency. Specifically, the information processing device analyzes the tasks entered by the user and determines their priority. An AI module for data analysis is used for this purpose.

[0310] Based on the analysis results, the server sets reminders and sends notifications at the specified time. The scheduling system also collects the schedules of numerous users and suggests optimal meeting times. This enables smooth meeting scheduling even across multiple time zones.

[0311] Furthermore, the communication analysis device analyzes the content of electronic messages in real time, extracts important information, and provides users with advice to prevent misunderstandings. In addition, local activity data and transportation information are also analyzed, and this analysis allows for timely notification of information that is beneficial to residents.

[0312] For example, if a user inputs "I want to optimize my schedule for tomorrow," the system analyzes all of the user's tasks and appointments and makes suggestions. The schedule management device presents a schedule that takes optimal travel time into account and provides optimal route information for public transportation. The health monitoring device recommends regular breaks and exercise to prevent the user from becoming overworked.

[0313] An example of a prompt using a generative AI model is a request such as, "Recommend local events that the user is interested in and generate an optimal participation schedule."

[0314] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0315] Step 1:

[0316] The server receives information from users as input, such as task details, deadlines, and importance. Based on this input data, an AI module performs data analysis and calculates the priority of each task. The priority is quantified based on the urgency and importance of the task.

[0317] Step 2:

[0318] The server automatically sets reminders based on the priority obtained in Step 1. The set reminder information is processed so that it is notified to the user's terminal. This ensures that the user does not forget their tasks and receives reminders at the appropriate time.

[0319] Step 3:

[0320] The scheduling system collects schedule data from numerous users as input. Based on this data, it proposes the optimal meeting time. In this process, AI analyzes the data, taking into account time zones and each user's availability. As output, the proposed meeting time is notified to the user.

[0321] Step 4:

[0322] The communication analysis device analyzes received electronic messages as input. This analysis utilizes NLP (Neuro-Linguistic Programming) technology to extract important information and action items. The analysis results are output as advice for the user.

[0323] Step 5:

[0324] The server receives local activity data as input and extracts relevant information. An AI model analyzes this data and generates useful information for the user. The generated information is then notified to the user's terminal.

[0325] Step 6:

[0326] The server collects transportation information and calculates the optimal travel method and time. Based on the input data, it analyzes routes and timetables and proposes the best route to the user as output.

[0327] Step 7:

[0328] The health monitoring device collects the user's physical activity data as input. Based on this data, it generates advice on maintaining the user's health. The generated advice is then notified to the user's terminal.

[0329] 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.

[0330] This invention is a system that incorporates an emotion engine in addition to an information processing device, a schedule management device, and a communication analysis device. This makes it possible to provide more optimal support for remote work by taking into account the user's emotional state.

[0331] First, the information processing device receives business data entered by the user, and an AI module analyzes its deadlines and importance. Based on the results, it sets priorities and notifies the user using a reminder function. The schedule management device centrally manages the schedules of the user and related users and coordinates meetings.

[0332] The communication analysis device analyzes electronic messages received by users using natural language processing technology, extracting important information and key points. It then provides advice to avoid misunderstandings based on the content. Furthermore, it monitors working hours and recommends appropriate breaks to prevent overwork.

[0333] In addition, the emotion engine analyzes the user's voice input, text, and behavioral patterns to identify their emotions. This information is used to prioritize tasks, optimize communication methods, and suggest stress reduction measures. For example, if the emotion engine determines that a user is experiencing high stress, the device will recommend taking a break and suggest performing a light refreshing task. It also helps users make important decisions in a relaxed state by implementing emotion-appropriate communication methods.

[0334] These features provide comprehensive support to help users maintain productivity and protect their health in a remote work environment. Thus, this invention is groundbreaking in that it leverages the user's emotional state in various situations to provide a individually optimized work environment.

[0335] The following describes the processing flow.

[0336] Step 1:

[0337] The user inputs business data into a terminal. The terminal transmits the received data to an information processing device, which stores the details of the work, deadline, importance, etc., in a database.

[0338] Step 2:

[0339] The information processing device passes the received business data to the AI ​​module and begins analysis. The AI ​​module applies an algorithm to determine the priority of the tasks. Based on this result, it generates a priority list and sends it back to the terminal.

[0340] Step 3:

[0341] The device receives a priority list and uses the reminder function to set notification times for each task. It then registers these tasks in the user's calendar so that notifications are sent at the appropriate time.

[0342] Step 4:

[0343] The server uses a scheduling device to centrally collect and store the schedules of users and related parties in a database. Based on the collected data, analysis is performed to determine the optimal meeting time.

[0344] Step 5:

[0345] The server suggests optimized time slots for meetings to the user. The automatically adjusted meeting time is reflected in the user's calendar, and all stakeholders are notified.

[0346] Step 6:

[0347] The terminal uses a communication analysis device to analyze electronic messages received by the user in real time. Using natural language processing technology, it extracts important information and action items and displays the results.

[0348] Step 7:

[0349] The on-device emotion engine collects and analyzes the user's voice input, text, and interaction patterns to identify the user's emotional state. Based on this information, it adjusts work priorities, reminder frequencies, and stress management strategies.

[0350] Step 8:

[0351] The device provides the user with appropriate feedback based on the analysis results of the emotion engine. If high stress is detected, it will notify the user with suggestions for taking a break and advice on how to refresh themselves.

[0352] Step 9:

[0353] Based on user feedback, the device makes further adjustments and continuously updates the feedback as needed. It integrates emotional and operational data to provide an optimal work environment, controlling the entire system in a unified manner.

[0354] (Example 2)

[0355] 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".

[0356] As remote work becomes more widespread, there is a need to maximize individual work efficiency while maintaining the health of workers. However, current systems are insufficient for prioritizing tasks, managing schedules, avoiding misunderstandings in electronic communications, and ensuring healthy working hours, and in particular, they lack support that takes into account the emotional state of workers. Therefore, a new system is needed to improve productivity while reducing stress.

[0357] 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.

[0358] In this invention, the server includes means for receiving tasks entered by users using an information processing device, analyzing the deadline and importance of the tasks, and determining their priority; means for collecting the schedules of multiple users using a schedule management device, analyzing the schedules, and automatically suggesting the optimal meeting time; and means for evaluating the emotional state of users using an emotion analysis device, and optimizing task prioritization and communication methods based on the evaluation. This enables efficient management of work and the provision of appropriate stress reduction measures.

[0359] An "information processing device" is a device that receives data entered by a user, analyzes its contents using a specific algorithm, and has the function of determining the priority and importance of tasks.

[0360] A "schedule management device" is a device that aggregates schedule information from a large number of users and automatically suggests the optimal time for meetings and gatherings based on data analysis.

[0361] An "information analysis device" is a device that analyzes the content of electronic communications and messages, extracts important information, and provides advice to avoid misunderstandings.

[0362] "Emotional analysis tools" are methods used to evaluate a user's emotional state based on their voice, text, and behavioral data, and to optimize tasks and communication methods.

[0363] "Priority" refers to the order in which tasks are assigned, based on their importance and urgency, when multiple tasks exist.

[0364] "Advice to avoid misunderstandings" refers to instructions or suggestions in electronic communications that aim to eliminate ambiguity and unclearness in the content and expression, ensuring that the intended information is accurately conveyed to the recipient.

[0365] This invention provides a system integrating an information processing device, a schedule management device, an information analysis device, and an emotion analysis means, thereby improving the user's work efficiency and health. Specific embodiments for carrying out the invention are described below.

[0366] First, the user inputs work-related data into a terminal. This could be a computer or smart device they normally use. The server receives the input data and uses an information processing device to analyze it based on its deadline and importance. For this analysis, it is possible to use a generated AI model as an AI module.

[0367] The server uses the results of data analysis to determine task priorities. Based on these priorities, a notification function is configured, and alerts are sent to the user via their device. Specifically, push notifications are sent informing the user of tasks that should be completed first.

[0368] Furthermore, the terminal uses a scheduling device to manage the schedules of the user and related users. This allows for the automatic suggestion of optimal meeting times using AI. For example, it is possible to find common free time slots and set up online meetings.

[0369] Furthermore, the information analysis device analyzes emails and messages received by the terminal and extracts important information. This function allows users to receive advice to avoid misunderstandings as needed. Suggestions for removing ambiguity from messages are one example.

[0370] The emotion analysis system collects user voice and behavioral data and evaluates their emotional state on a server. The results of the emotion analysis are used to optimize work priorities and improve communication methods. If a user is experiencing high levels of stress, lighter tasks may be suggested to promote relaxation.

[0371] As a concrete example, here is an example of a prompt message to a generative AI model: "Evaluate the user's stress level based on their emotional data and suggest appropriate ways to refresh themselves."

[0372] This configuration allows the system to comprehensively support improved productivity and health maintenance in remote work environments.

[0373] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0374] Step 1:

[0375] Users input work-related data into a terminal. This input includes information such as task name, deadline, and proposed priority. This data is sent directly to the server. The data received by the server includes the task name, content, deadline, and predicted priority.

[0376] Step 2:

[0377] Upon receiving the transmitted business data, the server uses an information processing device to analyze the task deadlines and importance using the generated AI model within the AI ​​module. This analysis calculates the execution priority of each task. The input data is the business data sent in step 1, and the output data is the optimal priority for each task generated by the server.

[0378] Step 3:

[0379] The device receives priority information sent from the server and configures its notification function. This function is responsible for sending alerts to the user in order of priority, based on the set time. Specifically, digital calendars and reminder apps provide visual and auditory notifications.

[0380] Step 4:

[0381] Users enter their schedules into a terminal via a scheduling device. This schedule information includes individual appointments, free time slots, and meeting schedules. This entered information is immediately transmitted to the server.

[0382] Step 5:

[0383] The server uses a scheduling device to collect the schedules of the user and other related users, and analyzes the data so that AI can automatically suggest optimal meeting and gathering times. The input is each user's schedule information, and the output is the suggested meeting and gathering times. In this process, the most efficient schedule is suggested by the AI.

[0384] Step 6:

[0385] The terminal notifies the user of the optimal meeting time suggested by the server and adjusts the schedule as needed. The user then uses this information to adjust their own schedule.

[0386] Step 7:

[0387] Electronic messages received from users are parsed on the terminal using natural language processing techniques. Here, the key elements and main points of the message are extracted. The input to the processing is the entire received message, and the output is a summarized key message and advice based on the parsing.

[0388] Step 8:

[0389] Based on the key points analyzed, the server generates advice to avoid misunderstandings and provides it to the user through the terminal. This may include suggestions such as translating ambiguous expressions into specific instructions.

[0390] Step 9:

[0391] The terminal monitors the user's working hours and sends a notification to the server if it detects signs of excessive work. The server then generates a message recommending appropriate rest to the user and notifies the user via the terminal. This notification includes automatically suggested relaxation methods.

[0392] Step 10:

[0393] The user's emotional state is evaluated by an emotion analysis tool based on voice, text, and behavioral patterns collected via the device. Input data consists of user behavior-related information, while output data represents the analyzed emotional state. This optimizes work settings and communication to align with the user's emotional state.

[0394] Step 11:

[0395] The server uses the results of emotion analysis to generate support and suggestions tailored to the user's emotional state and notifies the user via the terminal. For example, if the emotion engine detects high stress, the server will suggest ways to refresh. Specifically, it will suggest performing a light refreshing task.

[0396] (Application Example 2)

[0397] 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."

[0398] In modern society, remote work is becoming commonplace, but at the same time, it is raising concerns about the health and mental stress of individual workers. In particular, maintaining work efficiency while providing an optimal work environment tailored to the user's emotional state is challenging. Furthermore, it is necessary to deliver timely notifications to users regarding important tasks and information. Therefore, there is a growing need for systems that support remote work optimized for individual users.

[0399] 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.

[0400] In this invention, the server includes means for receiving tasks entered by the user via an information processing device, analyzing the deadline and importance of the tasks, and determining priority; means for setting reminders based on the priority and notifying at the set time; means for collecting the schedules of multiple users via a schedule management device, analyzing the schedules, and automatically suggesting the optimal meeting time; means for analyzing the content of electronic messages via a communication analysis device, extracting important information, and providing advice to avoid misunderstandings; means for monitoring work hours and recommending breaks to prevent overwork; means for analyzing the user's emotional state via an emotion engine, optimizing the work environment based on the emotional state, and suggesting stress reduction measures; and means for notifying the user of important information via voice using speech synthesis. This enables comprehensive and optimized remote work support tailored to the user's emotional state.

[0401] An "information processing device" is a device that receives business data entered by a user, analyzes the deadlines and importance of that business, and determines its priority.

[0402] A "reminder" is a function that notifies the user at a specified time based on the set priority.

[0403] A "schedule management device" is a device that collects the schedules of multiple users and analyzes and suggests the optimal meeting times.

[0404] A "communication analysis device" is a device that analyzes the content of electronic messages, extracts important information, and provides advice to avoid misunderstandings.

[0405] The "emotion engine" is an engine that analyzes the user's emotional state and proposes optimized work environments and stress reduction measures tailored to those emotions.

[0406] "Speech synthesis" is a technology that transmits information generated by a computer to the user as speech.

[0407] "Recommending breaks to prevent overwork" is a function that monitors working hours and prompts users to take breaks as needed.

[0408] The system for implementing this invention is constructed by integrating an information processing device, a schedule management device, a communication analysis device, an emotion engine, and a speech synthesis function. These components work together to comprehensively support the user's remote work.

[0409] The server receives user-entered work data through an information processing device, analyzes the deadlines and importance of the tasks, and determines priorities. Reminders are set based on the priorities, and users are notified at the appropriate time. The scheduling device centrally manages the schedules of multiple users and automatically suggests optimal meeting times.

[0410] Communication analysis devices analyze the content of electronic messages and extract important information to provide advice to prevent users from misunderstanding. This supports the smooth progress of business operations.

[0411] Furthermore, the emotion engine analyzes the user's voice input and behavioral patterns to identify their emotional state, and based on the results, it proposes optimizations for the work environment and stress reduction measures. For example, if the device determines that the user is in a high-stress state, it will recommend taking a break and play relaxing music.

[0412] Using speech synthesis technology, it's also possible to convey important information to users via voice. This reduces the time spent reading text information directly, allowing for more efficient information acquisition.

[0413] The system is built using an emotion engine (e.g., a general emotion analysis API), a speech synthesis API (e.g., a general speech synthesis technology), a schedule management API (e.g., a general calendar service), and natural language processing technology suitable for communication analysis devices.

[0414] A concrete example is when a user asks, "What kind of music is suitable for relaxing while working remotely?" and a generative AI model provides recommendations. In this way, the user can obtain a customized work experience based on their emotional state.

[0415] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0416] Step 1:

[0417] The server receives business data from users. This data includes details of the tasks, deadlines, and importance levels. The server takes this data as input and uses an information processing device to analyze it. It calculates priority levels based on deadlines and importance levels and outputs the information necessary for setting reminders.

[0418] Step 2:

[0419] The terminal uses a scheduling device to collect the schedules of the user and related users. This data is used as input for analysis to avoid scheduling conflicts. The analysis results are output, and the system automatically suggests optimal meeting times. These suggestions are optimized based on the user's schedule, ensuring efficient time allocation.

[0420] Step 3:

[0421] The server uses a communication analysis device to analyze electronic messages received by users. It extracts important information from the input messages and uses natural language processing techniques to generate advice to avoid misunderstandings. By outputting these results and providing them to the user, it supports smooth communication.

[0422] Step 4:

[0423] The device analyzes the user's voice input and behavioral patterns using an emotion engine. This data is used as input to identify the emotional state. The identification result is then output, generating information to suggest stress reduction measures and work environment optimizations tailored to the corresponding emotion. This method enables users to manage stress effectively.

[0424] Step 5:

[0425] The device uses speech synthesis to notify the user of important information via voice. Based on the output of the emotion engine, a generative AI model is used to generate appropriate responses as prompts, which are then communicated to the user using speech synthesis technology. This voice notification is an effective means of reducing the time users spend reading text information.

[0426] 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.

[0427] 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.

[0428] 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.

[0429] [Third Embodiment]

[0430] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0431] 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.

[0432] 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).

[0433] 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.

[0434] 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.

[0435] 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).

[0436] 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.

[0437] 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.

[0438] 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.

[0439] 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.

[0440] 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.

[0441] 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".

[0442] The system of the present invention consists of an information processing device, a schedule management device, and a communication analysis device, thereby enabling users to efficiently perform their tasks while working remotely.

[0443] First, the information processing device receives the task details, deadlines, and importance levels entered by the user, and an AI module analyzes this information. Based on the analysis, it determines the priority of each task and notifies the user in a timely manner via reminders. This function helps users process tasks in the appropriate order without forgetting them.

[0444] The scheduling system centrally collects the schedules of users and other users, and suggests the optimal timing for meetings. This allows for smooth coordination across time zones, supporting efficient meeting scheduling even amidst busy schedules.

[0445] The communication analysis device has the function of analyzing electronic messages received by users in real time and extracting important points and action items. This allows users to grasp the necessary information more quickly and receive advice that prevents misunderstandings.

[0446] Furthermore, it utilizes natural language processing technology to summarize the user's work and suggest appropriate actions. It also monitors the user's work time to recommend breaks to prevent overwork. This entire system works together to provide strong support for users to maintain an optimal work-life balance while working remotely.

[0447] For example, when a user enters "Create Weekly Report" as a task, the information processing device considers upcoming deadlines and the importance of other tasks, sets the task's priority, and issues a timely reminder. The scheduling device considers the schedules of all team members and suggests that Friday afternoon is the optimal time for a meeting. When instructions from a supervisor arrive as an electronic message, the communication analysis device analyzes the key points and advises on how to address any unclear wording. As described above, each device works in harmony, allowing users to engage in their work efficiently.

[0448] The following describes the processing flow.

[0449] Step 1:

[0450] The terminal receives task input from the user and retrieves basic information such as content, deadline, and importance. The terminal then prepares to pass this data to an internal AI module.

[0451] Step 2:

[0452] The terminal's AI module analyzes the received business data and executes a priority determination algorithm. This algorithm calculates the priority based on the importance and deadline of the tasks.

[0453] Step 3:

[0454] The terminal sets reminders for each task based on calculated priorities. This setting information is registered in the calendar system and scheduled to notify the user at the specified time.

[0455] Step 4:

[0456] The server collects schedule data from numerous users and stores it in an integrated database. The server then analyzes this data to calculate the optimal meeting time.

[0457] Step 5:

[0458] The server suggests the optimal time slot to the user and updates each user's calendar so that the meeting is scheduled for that time. If necessary, it also provides optimized suggestions for users in different time zones.

[0459] Step 6:

[0460] The device receives the user's electronic messages in real time and automatically analyzes their content. Natural language processing is used to extract key points and action items.

[0461] Step 7:

[0462] Based on the extraction results, the device will provide the user with necessary advice. It will also notify them of any necessary wording revisions to prevent misunderstandings and points to check.

[0463] Step 8:

[0464] The device monitors the user's work time, and if continuous work for a certain period is detected, it activates a notification function that suggests the user needs a break.

[0465] Step 9:

[0466] The device generates long-term health advice based on the user's work activities and notifies the user periodically. This notification includes tips for preventing overwork and working efficiently.

[0467] (Example 1)

[0468] 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."

[0469] In today's remote work environment, a wide variety of tasks arise, making it difficult to perform them efficiently. In particular, prioritizing tasks, efficient schedule management, quickly grasping important messages, and receiving appropriate advice to prevent overwork are essential. There is a need to comprehensively address these challenges and improve users' productivity and work-life balance.

[0470] 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.

[0471] In this invention, the server includes means for receiving tasks entered by users via an information processing device, analyzing the deadlines and importance of the tasks, and determining their priority; means for collecting the schedules of numerous users via a schedule management device, analyzing the schedules, and automatically proposing optimal meeting times; and means for analyzing the content of electronic communications via a communication analysis device, extracting necessary information, and providing advice to avoid misunderstandings. This makes it possible to appropriately set the priority of each task, build an efficient schedule, and quickly grasp important information. Furthermore, by utilizing a generative AI model, even more advanced analysis and suggestions become possible, providing support for users to achieve an optimal work-life balance.

[0472] An "information processing device" is a device that receives business information entered by users, and then performs analysis, prioritizes, and sets reminders related to that information.

[0473] A "generative AI model" is a type of artificial intelligence used for data analysis and prediction, and is a tool for calculating the optimal execution order of a user's tasks.

[0474] A "schedule management device" is a device that aggregates the schedules of multiple users, analyzes their plans, and automatically suggests the optimal meeting time.

[0475] A "communication analysis device" is a device equipped with the function of analyzing the content of electronic communications, extracting necessary information, and providing advice to avoid misunderstandings.

[0476] "Natural language processing technology" is a technology that enables computers to understand and process human language, including extracting key points from messages and presenting them to users.

[0477] "Priority" is an indicator that shows which tasks a user should perform and in what order, and it is determined based on the analysis results.

[0478] A "reminder" is a notification function that informs users of the existence of a task at a set time.

[0479] The "rest suggestion to prevent overwork" function monitors the user's working hours and suggests appropriate times for taking breaks.

[0480] This invention comprises an information processing device, a schedule management device, and a communication analysis device, and is a system that supports users in efficiently performing their work remotely. A specific embodiment of this system is described below.

[0481] The information processing device receives task details, deadlines, and importance levels entered by users, and performs analysis on this information using a generative AI model. This model analyzes historical data and relevant external information to determine task priorities. For example, if a user enters "Create weekly report," the information processing device sets the priority of this task compared to other tasks and generates a timely reminder to notify the user.

[0482] The schedule management system aggregates users' schedules on a server and automatically suggests the optimal meeting time. The server analyzes the schedules of multiple users, taking time zones into consideration, and selects the best time. For example, if it finds that all members are free on Friday afternoon, it suggests that time as the meeting time.

[0483] The communication analysis device analyzes the content of electronic communications messages in real time on a server. This device uses natural language processing technology to extract important points and necessary actions from the messages. Based on the analyzed information, the server provides advice to avoid misunderstandings and presents it to the user's terminal. For example, it can analyze an instruction email from a supervisor, highlight important elements, and notify the user.

[0484] Furthermore, the server monitors working hours and suggests breaks to prevent overwork. This suggestion is made automatically when a user is working for extended periods. For example, a user can enter a prompt such as, "Please prioritize weekly reports and suggest optimal meeting times."

[0485] As described above, this invention utilizes generative AI models and related technologies to provide powerful support for users to work remotely efficiently and healthily.

[0486] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0487] Step 1:

[0488] The user enters the task details, deadline, and importance level via a terminal. This information is sent from the terminal to the server. The server records this input in a database. Specifically, it verifies that the entered data is saved accurately and notifies the user when saving is complete.

[0489] Step 2:

[0490] The server inputs business data stored in the database into a generating AI model. The generating AI model analyzes the priority of each task, and calculates the optimal priority by referring to past data and related information. Data calculations are performed during this process, and results are obtained that evaluate the relative importance of the tasks. The server then saves the results back into the database.

[0491] Step 3:

[0492] The server sets reminders based on prioritized tasks. The set reminder information, along with the notification time, is sent to the user's device. The device displays the reminder notification at the specified time. This step supports more efficient work progress.

[0493] Step 4:

[0494] The server aggregates the schedules of multiple users through the schedule management device and performs analysis to propose the optimal meeting time. It receives schedule data as input and generates proposed meeting times as output. For example, this may include analyzing the availability of all members, selecting the optimal time slot, and notifying each terminal of the result.

[0495] Step 5:

[0496] The server analyzes electronic messages received by the user using a communication analysis device. It receives the message content as input and extracts key points and action points using natural language processing technology. The extracted information is provided to the user's terminal as important information, and advice is automatically added.

[0497] Step 6:

[0498] The server monitors working hours and determines the appropriate time for users to take breaks. It uses current work time data as input and generates break suggestions as output. These suggestions are sent to the terminal and displayed to the user. These suggestions include specific actions to inform the user when they should take a break after prolonged work.

[0499] (Application Example 1)

[0500] 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."

[0501] In modern living environments, improving individual work efficiency and enhancing quality of life are crucial. However, with the spread of remote work and increasing urbanization, managing personal schedules and maintaining health has become more complex and time-consuming. Therefore, there is a need for the development of an integrated support system that simultaneously improves individual work efficiency and quality of life.

[0502] 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.

[0503] In this invention, the server includes means for receiving tasks entered by users via an information processing device, analyzing the deadlines and importance of the tasks, and determining priorities; means for analyzing the schedules of multiple users via a schedule management device and automatically suggesting optimal meeting times; means for extracting important information from electronic messages and providing advice via a communication analysis device; means for analyzing local activity data and notifying residents of information relevant to them; means for analyzing transportation information and suggesting optimal travel methods and times; and means for monitoring health status and providing advice for maintaining health. This makes it possible to optimize the user's work efficiency and schedule management, and to support an improvement in their quality of life.

[0504] An "information processing device" is a device that receives data related to tasks entered by users, analyzes that data, and determines the priority of those tasks.

[0505] A "schedule management device" is a device that collects the schedules of multiple users and automatically suggests the most suitable meeting time from among them.

[0506] A "communication analysis device" is a device that analyzes the content of electronic messages, extracts important information, and provides advice to avoid misunderstandings.

[0507] "Local activity data" refers to data about events and activities in which residents and the local community are involved, and is used to notify residents of relevant information.

[0508] "Transportation information" refers to data on the operating status and schedule of public transportation, which is analyzed to suggest the most suitable travel method and departure time to users.

[0509] "Health monitoring" refers to activities that observe and record a user's physical activity and health parameters, and provide advice to help them maintain their health.

[0510] The system that realizes this invention consists of multiple devices, such as an information processing device, a schedule management device, and a communication analysis device. This system works in cooperation with each other to improve the user's work efficiency. Specifically, the information processing device analyzes the tasks entered by the user and determines their priority. An AI module for data analysis is used for this purpose.

[0511] Based on the analysis results, the server sets reminders and sends notifications at the specified time. The scheduling system also collects the schedules of numerous users and suggests optimal meeting times. This enables smooth meeting scheduling even across multiple time zones.

[0512] Furthermore, the communication analysis device analyzes the content of electronic messages in real time, extracts important information, and provides users with advice to prevent misunderstandings. In addition, local activity data and transportation information are also analyzed, and this analysis allows for timely notification of information that is beneficial to residents.

[0513] For example, if a user inputs "I want to optimize my schedule for tomorrow," the system analyzes all of the user's tasks and appointments and makes suggestions. The schedule management device presents a schedule that takes optimal travel time into account and provides optimal route information for public transportation. The health monitoring device recommends regular breaks and exercise to prevent the user from becoming overworked.

[0514] An example of a prompt using a generative AI model is a request such as, "Recommend local events that the user is interested in and generate an optimal participation schedule."

[0515] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0516] Step 1:

[0517] The server receives information from users as input, such as task details, deadlines, and importance. Based on this input data, an AI module performs data analysis and calculates the priority of each task. The priority is quantified based on the urgency and importance of the task.

[0518] Step 2:

[0519] The server automatically sets reminders based on the priority obtained in Step 1. The set reminder information is processed so that it is notified to the user's terminal. This ensures that the user does not forget their tasks and receives reminders at the appropriate time.

[0520] Step 3:

[0521] The scheduling system collects schedule data from numerous users as input. Based on this data, it proposes the optimal meeting time. In this process, AI analyzes the data, taking into account time zones and each user's availability. As output, the proposed meeting time is notified to the user.

[0522] Step 4:

[0523] The communication analysis device analyzes received electronic messages as input. This analysis utilizes NLP (Neuro-Linguistic Programming) technology to extract important information and action items. The analysis results are output as advice for the user.

[0524] Step 5:

[0525] The server receives local activity data as input and extracts relevant information. An AI model analyzes this data and generates useful information for the user. The generated information is then notified to the user's terminal.

[0526] Step 6:

[0527] The server collects transportation information and calculates the optimal travel method and time. Based on the input data, it analyzes routes and timetables and proposes the best route to the user as output.

[0528] Step 7:

[0529] The health monitoring device collects the user's physical activity data as input. Based on this data, it generates advice on maintaining the user's health. The generated advice is then notified to the user's terminal.

[0530] 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.

[0531] This invention is a system that incorporates an emotion engine in addition to an information processing device, a schedule management device, and a communication analysis device. This makes it possible to provide more optimal support for remote work by taking into account the user's emotional state.

[0532] First, the information processing device receives business data entered by the user, and an AI module analyzes its deadlines and importance. Based on the results, it sets priorities and notifies the user using a reminder function. The schedule management device centrally manages the schedules of the user and related users and coordinates meetings.

[0533] The communication analysis device analyzes electronic messages received by users using natural language processing technology, extracting important information and key points. It then provides advice to avoid misunderstandings based on the content. Furthermore, it monitors working hours and recommends appropriate breaks to prevent overwork.

[0534] In addition, the emotion engine analyzes the user's voice input, text, and behavioral patterns to identify their emotions. This information is used to prioritize tasks, optimize communication methods, and suggest stress reduction measures. For example, if the emotion engine determines that a user is experiencing high stress, the device will recommend taking a break and suggest performing a light refreshing task. It also helps users make important decisions in a relaxed state by implementing emotion-appropriate communication methods.

[0535] These features provide comprehensive support to help users maintain productivity and protect their health in a remote work environment. Thus, this invention is groundbreaking in that it leverages the user's emotional state in various situations to provide a individually optimized work environment.

[0536] The following describes the processing flow.

[0537] Step 1:

[0538] The user inputs business data into a terminal. The terminal transmits the received data to an information processing device, which stores the details of the work, deadline, importance, etc., in a database.

[0539] Step 2:

[0540] The information processing device passes the received business data to the AI ​​module and begins analysis. The AI ​​module applies an algorithm to determine the priority of the tasks. Based on this result, it generates a priority list and sends it back to the terminal.

[0541] Step 3:

[0542] The device receives a priority list and uses the reminder function to set notification times for each task. It then registers these tasks in the user's calendar so that notifications are sent at the appropriate time.

[0543] Step 4:

[0544] The server uses a scheduling device to centrally collect and store the schedules of users and related parties in a database. Based on the collected data, analysis is performed to determine the optimal meeting time.

[0545] Step 5:

[0546] The server suggests optimized time slots for meetings to the user. The automatically adjusted meeting time is reflected in the user's calendar, and all stakeholders are notified.

[0547] Step 6:

[0548] The terminal uses a communication analysis device to analyze electronic messages received by the user in real time. Using natural language processing technology, it extracts important information and action items and displays the results.

[0549] Step 7:

[0550] The on-device emotion engine collects and analyzes the user's voice input, text, and interaction patterns to identify the user's emotional state. Based on this information, it adjusts work priorities, reminder frequencies, and stress management strategies.

[0551] Step 8:

[0552] The device provides the user with appropriate feedback based on the analysis results of the emotion engine. If high stress is detected, it will notify the user with suggestions for taking a break and advice on how to refresh themselves.

[0553] Step 9:

[0554] Based on user feedback, the device makes further adjustments and continuously updates the feedback as needed. It integrates emotional and operational data to provide an optimal work environment, controlling the entire system in a unified manner.

[0555] (Example 2)

[0556] 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."

[0557] As remote work becomes more widespread, there is a need to maximize individual work efficiency while maintaining the health of workers. However, current systems are insufficient for prioritizing tasks, managing schedules, avoiding misunderstandings in electronic communications, and ensuring healthy working hours, and in particular, they lack support that takes into account the emotional state of workers. Therefore, a new system is needed to improve productivity while reducing stress.

[0558] 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.

[0559] In this invention, the server includes means for receiving tasks entered by users using an information processing device, analyzing the deadline and importance of the tasks, and determining their priority; means for collecting the schedules of multiple users using a schedule management device, analyzing the schedules, and automatically suggesting the optimal meeting time; and means for evaluating the emotional state of users using an emotion analysis device, and optimizing task prioritization and communication methods based on the evaluation. This enables efficient management of work and the provision of appropriate stress reduction measures.

[0560] An "information processing device" is a device that receives data entered by a user, analyzes its contents using a specific algorithm, and has the function of determining the priority and importance of tasks.

[0561] A "schedule management device" is a device that aggregates schedule information from a large number of users and automatically suggests the optimal time for meetings and gatherings based on data analysis.

[0562] An "information analysis device" is a device that analyzes the content of electronic communications and messages, extracts important information, and provides advice to avoid misunderstandings.

[0563] "Emotional analysis tools" are methods used to evaluate a user's emotional state based on their voice, text, and behavioral data, and to optimize tasks and communication methods.

[0564] "Priority" refers to the order in which tasks are assigned, based on their importance and urgency, when multiple tasks exist.

[0565] "Advice to avoid misunderstandings" refers to instructions or suggestions in electronic communications that aim to eliminate ambiguity and unclearness in the content and expression, ensuring that the intended information is accurately conveyed to the recipient.

[0566] This invention provides a system integrating an information processing device, a schedule management device, an information analysis device, and an emotion analysis means, thereby improving the user's work efficiency and health. Specific embodiments for carrying out the invention are described below.

[0567] First, the user inputs work-related data into a terminal. This could be a computer or smart device they normally use. The server receives the input data and uses an information processing device to analyze it based on its deadline and importance. For this analysis, it is possible to use a generated AI model as an AI module.

[0568] The server uses the results of data analysis to determine task priorities. Based on these priorities, a notification function is configured, and alerts are sent to the user via their device. Specifically, push notifications are sent informing the user of tasks that should be completed first.

[0569] Furthermore, the terminal uses a scheduling device to manage the schedules of the user and related users. This allows for the automatic suggestion of optimal meeting times using AI. For example, it is possible to find common free time slots and set up online meetings.

[0570] Furthermore, the information analysis device analyzes emails and messages received by the terminal and extracts important information. This function allows users to receive advice to avoid misunderstandings as needed. Suggestions for removing ambiguity from messages are one example.

[0571] The emotion analysis system collects user voice and behavioral data and evaluates their emotional state on a server. The results of the emotion analysis are used to optimize work priorities and improve communication methods. If a user is experiencing high levels of stress, lighter tasks may be suggested to promote relaxation.

[0572] As a concrete example, here is an example of a prompt message to a generative AI model: "Evaluate the user's stress level based on their emotional data and suggest appropriate ways to refresh themselves."

[0573] This configuration allows the system to comprehensively support improved productivity and health maintenance in remote work environments.

[0574] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0575] Step 1:

[0576] Users input work-related data into a terminal. This input includes information such as task name, deadline, and proposed priority. This data is sent directly to the server. The data received by the server includes the task name, content, deadline, and predicted priority.

[0577] Step 2:

[0578] Upon receiving the transmitted business data, the server uses an information processing device to analyze the task deadlines and importance using the generated AI model within the AI ​​module. This analysis calculates the execution priority of each task. The input data is the business data sent in step 1, and the output data is the optimal priority for each task generated by the server.

[0579] Step 3:

[0580] The device receives priority information sent from the server and configures its notification function. This function is responsible for sending alerts to the user in order of priority, based on the set time. Specifically, digital calendars and reminder apps provide visual and auditory notifications.

[0581] Step 4:

[0582] Users enter their schedules into a terminal via a scheduling device. This schedule information includes individual appointments, free time slots, and meeting schedules. This entered information is immediately transmitted to the server.

[0583] Step 5:

[0584] The server uses a scheduling device to collect the schedules of the user and other related users, and analyzes the data so that AI can automatically suggest optimal meeting and gathering times. The input is each user's schedule information, and the output is the suggested meeting and gathering times. In this process, the most efficient schedule is suggested by the AI.

[0585] Step 6:

[0586] The terminal notifies the user of the optimal meeting time suggested by the server and adjusts the schedule as needed. The user then uses this information to adjust their own schedule.

[0587] Step 7:

[0588] Electronic messages received from users are parsed on the terminal using natural language processing techniques. Here, the key elements and main points of the message are extracted. The input to the processing is the entire received message, and the output is a summarized key message and advice based on the parsing.

[0589] Step 8:

[0590] Based on the key points analyzed, the server generates advice to avoid misunderstandings and provides it to the user through the terminal. This may include suggestions such as translating ambiguous expressions into specific instructions.

[0591] Step 9:

[0592] The terminal monitors the user's working hours and sends a notification to the server if it detects signs of excessive work. The server then generates a message recommending appropriate rest to the user and notifies the user via the terminal. This notification includes automatically suggested relaxation methods.

[0593] Step 10:

[0594] The user's emotional state is evaluated by an emotion analysis tool based on voice, text, and behavioral patterns collected via the device. Input data consists of user behavior-related information, while output data represents the analyzed emotional state. This optimizes work settings and communication to align with the user's emotional state.

[0595] Step 11:

[0596] The server uses the results of emotion analysis to generate support and suggestions tailored to the user's emotional state and notifies the user via the terminal. For example, if the emotion engine detects high stress, the server will suggest ways to refresh. Specifically, it will suggest performing a light refreshing task.

[0597] (Application Example 2)

[0598] 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."

[0599] In modern society, remote work is becoming commonplace, but at the same time, it is raising concerns about the health and mental stress of individual workers. In particular, maintaining work efficiency while providing an optimal work environment tailored to the user's emotional state is challenging. Furthermore, it is necessary to deliver timely notifications to users regarding important tasks and information. Therefore, there is a growing need for systems that support remote work optimized for individual users.

[0600] 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.

[0601] In this invention, the server includes means for receiving tasks entered by the user via an information processing device, analyzing the deadline and importance of the tasks, and determining priority; means for setting reminders based on the priority and notifying at the set time; means for collecting the schedules of multiple users via a schedule management device, analyzing the schedules, and automatically suggesting the optimal meeting time; means for analyzing the content of electronic messages via a communication analysis device, extracting important information, and providing advice to avoid misunderstandings; means for monitoring work hours and recommending breaks to prevent overwork; means for analyzing the user's emotional state via an emotion engine, optimizing the work environment based on the emotional state, and suggesting stress reduction measures; and means for notifying the user of important information via voice using speech synthesis. This enables comprehensive and optimized remote work support tailored to the user's emotional state.

[0602] An "information processing device" is a device that receives business data entered by a user, analyzes the deadlines and importance of that business, and determines its priority.

[0603] A "reminder" is a function that notifies the user at a specified time based on the set priority.

[0604] A "schedule management device" is a device that collects the schedules of multiple users and analyzes and suggests the optimal meeting times.

[0605] A "communication analysis device" is a device that analyzes the content of electronic messages, extracts important information, and provides advice to avoid misunderstandings.

[0606] The "emotion engine" is an engine that analyzes the user's emotional state and proposes optimized work environments and stress reduction measures tailored to those emotions.

[0607] "Speech synthesis" is a technology that transmits information generated by a computer to the user as speech.

[0608] "Recommending breaks to prevent overwork" is a function that monitors working hours and prompts users to take breaks as needed.

[0609] The system for implementing this invention is constructed by integrating an information processing device, a schedule management device, a communication analysis device, an emotion engine, and a speech synthesis function. These components work together to comprehensively support the user's remote work.

[0610] The server receives user-entered work data through an information processing device, analyzes the deadlines and importance of the tasks, and determines priorities. Reminders are set based on the priorities, and users are notified at the appropriate time. The scheduling device centrally manages the schedules of multiple users and automatically suggests optimal meeting times.

[0611] Communication analysis devices analyze the content of electronic messages and extract important information to provide advice to prevent users from misunderstanding. This supports the smooth progress of business operations.

[0612] Furthermore, the emotion engine analyzes the user's voice input and behavioral patterns to identify their emotional state, and based on the results, it proposes optimizations for the work environment and stress reduction measures. For example, if the device determines that the user is in a high-stress state, it will recommend taking a break and play relaxing music.

[0613] Using speech synthesis technology, it's also possible to convey important information to users via voice. This reduces the time spent reading text information directly, allowing for more efficient information acquisition.

[0614] The system is built using an emotion engine (e.g., a general emotion analysis API), a speech synthesis API (e.g., a general speech synthesis technology), a schedule management API (e.g., a general calendar service), and natural language processing technology suitable for communication analysis devices.

[0615] A concrete example is when a user asks, "What kind of music is suitable for relaxing while working remotely?" and a generative AI model provides recommendations. In this way, the user can obtain a customized work experience based on their emotional state.

[0616] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0617] Step 1:

[0618] The server receives business data from users. This data includes details of the tasks, deadlines, and importance levels. The server takes this data as input and uses an information processing device to analyze it. It calculates priority levels based on deadlines and importance levels and outputs the information necessary for setting reminders.

[0619] Step 2:

[0620] The terminal uses a scheduling device to collect the schedules of the user and related users. This data is used as input for analysis to avoid scheduling conflicts. The analysis results are output, and the system automatically suggests optimal meeting times. These suggestions are optimized based on the user's schedule, ensuring efficient time allocation.

[0621] Step 3:

[0622] The server uses a communication analysis device to analyze electronic messages received by users. It extracts important information from the input messages and uses natural language processing techniques to generate advice to avoid misunderstandings. By outputting these results and providing them to the user, it supports smooth communication.

[0623] Step 4:

[0624] The device analyzes the user's voice input and behavioral patterns using an emotion engine. This data is used as input to identify the emotional state. The identification result is then output, generating information to suggest stress reduction measures and work environment optimizations tailored to the corresponding emotion. This method enables users to manage stress effectively.

[0625] Step 5:

[0626] The device uses speech synthesis to notify the user of important information via voice. Based on the output of the emotion engine, a generative AI model is used to generate appropriate responses as prompts, which are then communicated to the user using speech synthesis technology. This voice notification is an effective means of reducing the time users spend reading text information.

[0627] 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.

[0628] 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.

[0629] 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.

[0630] [Fourth Embodiment]

[0631] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0632] 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.

[0633] 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).

[0634] 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.

[0635] 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.

[0636] 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).

[0637] 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.

[0638] 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.

[0639] 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.

[0640] 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.

[0641] 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.

[0642] 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.

[0643] 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".

[0644] The system of the present invention consists of an information processing device, a schedule management device, and a communication analysis device, thereby enabling users to efficiently perform their tasks while working remotely.

[0645] First, the information processing device receives the task details, deadlines, and importance levels entered by the user, and an AI module analyzes this information. Based on the analysis, it determines the priority of each task and notifies the user in a timely manner via reminders. This function helps users process tasks in the appropriate order without forgetting them.

[0646] The scheduling system centrally collects the schedules of users and other users, and suggests the optimal timing for meetings. This allows for smooth coordination across time zones, supporting efficient meeting scheduling even amidst busy schedules.

[0647] The communication analysis device has the function of analyzing electronic messages received by users in real time and extracting important points and action items. This allows users to grasp the necessary information more quickly and receive advice that prevents misunderstandings.

[0648] Furthermore, it utilizes natural language processing technology to summarize the user's work and suggest appropriate actions. It also monitors the user's work time to recommend breaks to prevent overwork. This entire system works together to provide strong support for users to maintain an optimal work-life balance while working remotely.

[0649] For example, when a user enters "Create Weekly Report" as a task, the information processing device considers upcoming deadlines and the importance of other tasks, sets the task's priority, and issues a timely reminder. The scheduling device considers the schedules of all team members and suggests that Friday afternoon is the optimal time for a meeting. When instructions from a supervisor arrive as an electronic message, the communication analysis device analyzes the key points and advises on how to address any unclear wording. As described above, each device works in harmony, allowing users to engage in their work efficiently.

[0650] The following describes the processing flow.

[0651] Step 1:

[0652] The terminal receives task input from the user and retrieves basic information such as content, deadline, and importance. The terminal then prepares to pass this data to an internal AI module.

[0653] Step 2:

[0654] The terminal's AI module analyzes the received business data and executes a priority determination algorithm. This algorithm calculates the priority based on the importance and deadline of the tasks.

[0655] Step 3:

[0656] The terminal sets reminders for each task based on calculated priorities. This setting information is registered in the calendar system and scheduled to notify the user at the specified time.

[0657] Step 4:

[0658] The server collects schedule data from numerous users and stores it in an integrated database. The server then analyzes this data to calculate the optimal meeting time.

[0659] Step 5:

[0660] The server suggests the optimal time slot to the user and updates each user's calendar so that the meeting is scheduled for that time. If necessary, it also provides optimized suggestions for users in different time zones.

[0661] Step 6:

[0662] The device receives the user's electronic messages in real time and automatically analyzes their content. Natural language processing is used to extract key points and action items.

[0663] Step 7:

[0664] Based on the extraction results, the device will provide the user with necessary advice. It will also notify them of any necessary wording revisions to prevent misunderstandings and points to check.

[0665] Step 8:

[0666] The device monitors the user's work time, and if continuous work for a certain period is detected, it activates a notification function that suggests the user needs a break.

[0667] Step 9:

[0668] The device generates long-term health advice based on the user's work activities and notifies the user periodically. This notification includes tips for preventing overwork and working efficiently.

[0669] (Example 1)

[0670] 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".

[0671] In today's remote work environment, a wide variety of tasks arise, making it difficult to perform them efficiently. In particular, prioritizing tasks, efficient schedule management, quickly grasping important messages, and receiving appropriate advice to prevent overwork are essential. There is a need to comprehensively address these challenges and improve users' productivity and work-life balance.

[0672] 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.

[0673] In this invention, the server includes means for receiving tasks entered by users via an information processing device, analyzing the deadlines and importance of the tasks, and determining their priority; means for collecting the schedules of numerous users via a schedule management device, analyzing the schedules, and automatically proposing optimal meeting times; and means for analyzing the content of electronic communications via a communication analysis device, extracting necessary information, and providing advice to avoid misunderstandings. This makes it possible to appropriately set the priority of each task, build an efficient schedule, and quickly grasp important information. Furthermore, by utilizing a generative AI model, even more advanced analysis and suggestions become possible, providing support for users to achieve an optimal work-life balance.

[0674] An "information processing device" is a device that receives business information entered by users, and then performs analysis, prioritizes, and sets reminders related to that information.

[0675] A "generative AI model" is a type of artificial intelligence used for data analysis and prediction, and is a tool for calculating the optimal execution order of a user's tasks.

[0676] A "schedule management device" is a device that aggregates the schedules of multiple users, analyzes their plans, and automatically suggests the optimal meeting time.

[0677] A "communication analysis device" is a device equipped with the function of analyzing the content of electronic communications, extracting necessary information, and providing advice to avoid misunderstandings.

[0678] "Natural language processing technology" is a technology that enables computers to understand and process human language, including extracting key points from messages and presenting them to users.

[0679] "Priority" is an indicator that shows which tasks a user should perform and in what order, and it is determined based on the analysis results.

[0680] A "reminder" is a notification function that informs users of the existence of a task at a set time.

[0681] The "rest suggestion to prevent overwork" function monitors the user's working hours and suggests appropriate times for taking breaks.

[0682] This invention comprises an information processing device, a schedule management device, and a communication analysis device, and is a system that supports users in efficiently performing their work remotely. A specific embodiment of this system is described below.

[0683] The information processing device receives task details, deadlines, and importance levels entered by users, and performs analysis on this information using a generative AI model. This model analyzes historical data and relevant external information to determine task priorities. For example, if a user enters "Create weekly report," the information processing device sets the priority of this task compared to other tasks and generates a timely reminder to notify the user.

[0684] The schedule management system aggregates users' schedules on a server and automatically suggests the optimal meeting time. The server analyzes the schedules of multiple users, taking time zones into consideration, and selects the best time. For example, if it finds that all members are free on Friday afternoon, it suggests that time as the meeting time.

[0685] The communication analysis device analyzes the content of electronic communications messages in real time on a server. This device uses natural language processing technology to extract important points and necessary actions from the messages. Based on the analyzed information, the server provides advice to avoid misunderstandings and presents it to the user's terminal. For example, it can analyze an instruction email from a supervisor, highlight important elements, and notify the user.

[0686] Furthermore, the server monitors working hours and suggests breaks to prevent overwork. This suggestion is made automatically when a user is working for extended periods. For example, a user can enter a prompt such as, "Please prioritize weekly reports and suggest optimal meeting times."

[0687] As described above, this invention utilizes generative AI models and related technologies to provide powerful support for users to work remotely efficiently and healthily.

[0688] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0689] Step 1:

[0690] The user enters the task details, deadline, and importance level via a terminal. This information is sent from the terminal to the server. The server records this input in a database. Specifically, it verifies that the entered data is saved accurately and notifies the user when saving is complete.

[0691] Step 2:

[0692] The server inputs business data stored in the database into a generating AI model. The generating AI model analyzes the priority of each task, and calculates the optimal priority by referring to past data and related information. Data calculations are performed during this process, and results are obtained that evaluate the relative importance of the tasks. The server then saves the results back into the database.

[0693] Step 3:

[0694] The server sets reminders based on prioritized tasks. The set reminder information, along with the notification time, is sent to the user's device. The device displays the reminder notification at the specified time. This step supports more efficient work progress.

[0695] Step 4:

[0696] The server aggregates the schedules of multiple users through the schedule management device and performs analysis to propose the optimal meeting time. It receives schedule data as input and generates proposed meeting times as output. For example, this may include analyzing the availability of all members, selecting the optimal time slot, and notifying each terminal of the result.

[0697] Step 5:

[0698] The server analyzes electronic messages received by the user using a communication analysis device. It receives the message content as input and extracts key points and action points using natural language processing technology. The extracted information is provided to the user's terminal as important information, and advice is automatically added.

[0699] Step 6:

[0700] The server monitors working hours and determines the appropriate time for users to take breaks. It uses current work time data as input and generates break suggestions as output. These suggestions are sent to the terminal and displayed to the user. These suggestions include specific actions to inform the user when they should take a break after prolonged work.

[0701] (Application Example 1)

[0702] 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".

[0703] In modern living environments, improving individual work efficiency and enhancing quality of life are crucial. However, with the spread of remote work and increasing urbanization, managing personal schedules and maintaining health has become more complex and time-consuming. Therefore, there is a need for the development of an integrated support system that simultaneously improves individual work efficiency and quality of life.

[0704] 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.

[0705] In this invention, the server includes means for receiving tasks entered by users via an information processing device, analyzing the deadlines and importance of the tasks, and determining priorities; means for analyzing the schedules of multiple users via a schedule management device and automatically suggesting optimal meeting times; means for extracting important information from electronic messages and providing advice via a communication analysis device; means for analyzing local activity data and notifying residents of information relevant to them; means for analyzing transportation information and suggesting optimal travel methods and times; and means for monitoring health status and providing advice for maintaining health. This makes it possible to optimize the user's work efficiency and schedule management, and to support an improvement in their quality of life.

[0706] An "information processing device" is a device that receives data related to tasks entered by users, analyzes that data, and determines the priority of those tasks.

[0707] A "schedule management device" is a device that collects the schedules of multiple users and automatically suggests the most suitable meeting time from among them.

[0708] A "communication analysis device" is a device that analyzes the content of electronic messages, extracts important information, and provides advice to avoid misunderstandings.

[0709] "Local activity data" refers to data about events and activities in which residents and the local community are involved, and is used to notify residents of relevant information.

[0710] "Transportation information" refers to data on the operating status and schedule of public transportation, which is analyzed to suggest the most suitable travel method and departure time to users.

[0711] "Health monitoring" refers to activities that observe and record a user's physical activity and health parameters, and provide advice to help them maintain their health.

[0712] The system that realizes this invention consists of multiple devices, such as an information processing device, a schedule management device, and a communication analysis device. This system works in cooperation with each other to improve the user's work efficiency. Specifically, the information processing device analyzes the tasks entered by the user and determines their priority. An AI module for data analysis is used for this purpose.

[0713] Based on the analysis results, the server sets reminders and sends notifications at the specified time. The scheduling system also collects the schedules of numerous users and suggests optimal meeting times. This enables smooth meeting scheduling even across multiple time zones.

[0714] Furthermore, the communication analysis device analyzes the content of electronic messages in real time, extracts important information, and provides users with advice to prevent misunderstandings. In addition, local activity data and transportation information are also analyzed, and this analysis allows for timely notification of information that is beneficial to residents.

[0715] For example, if a user inputs "I want to optimize my schedule for tomorrow," the system analyzes all of the user's tasks and appointments and makes suggestions. The schedule management device presents a schedule that takes optimal travel time into account and provides optimal route information for public transportation. The health monitoring device recommends regular breaks and exercise to prevent the user from becoming overworked.

[0716] An example of a prompt using a generative AI model is a request such as, "Recommend local events that the user is interested in and generate an optimal participation schedule."

[0717] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0718] Step 1:

[0719] The server receives information from users as input, such as task details, deadlines, and importance. Based on this input data, an AI module performs data analysis and calculates the priority of each task. The priority is quantified based on the urgency and importance of the task.

[0720] Step 2:

[0721] The server automatically sets reminders based on the priority obtained in Step 1. The set reminder information is processed so that it is notified to the user's terminal. This ensures that the user does not forget their tasks and receives reminders at the appropriate time.

[0722] Step 3:

[0723] The scheduling system collects schedule data from numerous users as input. Based on this data, it proposes the optimal meeting time. In this process, AI analyzes the data, taking into account time zones and each user's availability. As output, the proposed meeting time is notified to the user.

[0724] Step 4:

[0725] The communication analysis device analyzes received electronic messages as input. This analysis utilizes NLP (Neuro-Linguistic Programming) technology to extract important information and action items. The analysis results are output as advice for the user.

[0726] Step 5:

[0727] The server receives local activity data as input and extracts relevant information. An AI model analyzes this data and generates useful information for the user. The generated information is then notified to the user's terminal.

[0728] Step 6:

[0729] The server collects transportation information and calculates the optimal travel method and time. Based on the input data, it analyzes routes and timetables and proposes the best route to the user as output.

[0730] Step 7:

[0731] The health monitoring device collects the user's physical activity data as input. Based on this data, it generates advice on maintaining the user's health. The generated advice is then notified to the user's terminal.

[0732] 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.

[0733] This invention is a system that incorporates an emotion engine in addition to an information processing device, a schedule management device, and a communication analysis device. This makes it possible to provide more optimal support for remote work by taking into account the user's emotional state.

[0734] First, the information processing device receives business data entered by the user, and an AI module analyzes its deadlines and importance. Based on the results, it sets priorities and notifies the user using a reminder function. The schedule management device centrally manages the schedules of the user and related users and coordinates meetings.

[0735] The communication analysis device analyzes electronic messages received by users using natural language processing technology, extracting important information and key points. It then provides advice to avoid misunderstandings based on the content. Furthermore, it monitors working hours and recommends appropriate breaks to prevent overwork.

[0736] In addition, the emotion engine analyzes the user's voice input, text, and behavioral patterns to identify their emotions. This information is used to prioritize tasks, optimize communication methods, and suggest stress reduction measures. For example, if the emotion engine determines that a user is experiencing high stress, the device will recommend taking a break and suggest performing a light refreshing task. It also helps users make important decisions in a relaxed state by implementing emotion-appropriate communication methods.

[0737] These features provide comprehensive support to help users maintain productivity and protect their health in a remote work environment. Thus, this invention is groundbreaking in that it leverages the user's emotional state in various situations to provide a individually optimized work environment.

[0738] The following describes the processing flow.

[0739] Step 1:

[0740] The user inputs business data into a terminal. The terminal transmits the received data to an information processing device, which stores the details of the work, deadline, importance, etc., in a database.

[0741] Step 2:

[0742] The information processing device passes the received business data to the AI ​​module and begins analysis. The AI ​​module applies an algorithm to determine the priority of the tasks. Based on this result, it generates a priority list and sends it back to the terminal.

[0743] Step 3:

[0744] The device receives a priority list and uses the reminder function to set notification times for each task. It then registers these tasks in the user's calendar so that notifications are sent at the appropriate time.

[0745] Step 4:

[0746] The server uses a scheduling device to centrally collect and store the schedules of users and related parties in a database. Based on the collected data, analysis is performed to determine the optimal meeting time.

[0747] Step 5:

[0748] The server suggests optimized time slots for meetings to the user. The automatically adjusted meeting time is reflected in the user's calendar, and all stakeholders are notified.

[0749] Step 6:

[0750] The terminal uses a communication analysis device to analyze electronic messages received by the user in real time. Using natural language processing technology, it extracts important information and action items and displays the results.

[0751] Step 7:

[0752] The on-device emotion engine collects and analyzes the user's voice input, text, and interaction patterns to identify the user's emotional state. Based on this information, it adjusts work priorities, reminder frequencies, and stress management strategies.

[0753] Step 8:

[0754] The device provides the user with appropriate feedback based on the analysis results of the emotion engine. If high stress is detected, it will notify the user with suggestions for taking a break and advice on how to refresh themselves.

[0755] Step 9:

[0756] Based on user feedback, the device makes further adjustments and continuously updates the feedback as needed. It integrates emotional and operational data to provide an optimal work environment, controlling the entire system in a unified manner.

[0757] (Example 2)

[0758] 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".

[0759] As remote work becomes more widespread, there is a need to maximize individual work efficiency while maintaining the health of workers. However, current systems are insufficient for prioritizing tasks, managing schedules, avoiding misunderstandings in electronic communications, and ensuring healthy working hours, and in particular, they lack support that takes into account the emotional state of workers. Therefore, a new system is needed to improve productivity while reducing stress.

[0760] 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.

[0761] In this invention, the server includes means for receiving tasks entered by users using an information processing device, analyzing the deadline and importance of the tasks, and determining their priority; means for collecting the schedules of multiple users using a schedule management device, analyzing the schedules, and automatically suggesting the optimal meeting time; and means for evaluating the emotional state of users using an emotion analysis device, and optimizing task prioritization and communication methods based on the evaluation. This enables efficient management of work and the provision of appropriate stress reduction measures.

[0762] An "information processing device" is a device that receives data entered by a user, analyzes its contents using a specific algorithm, and has the function of determining the priority and importance of tasks.

[0763] A "schedule management device" is a device that aggregates schedule information from a large number of users and automatically suggests the optimal time for meetings and gatherings based on data analysis.

[0764] An "information analysis device" is a device that analyzes the content of electronic communications and messages, extracts important information, and provides advice to avoid misunderstandings.

[0765] "Emotional analysis tools" are methods used to evaluate a user's emotional state based on their voice, text, and behavioral data, and to optimize tasks and communication methods.

[0766] "Priority" refers to the order in which tasks are assigned, based on their importance and urgency, when multiple tasks exist.

[0767] "Advice to avoid misunderstandings" refers to instructions or suggestions in electronic communications that aim to eliminate ambiguity and unclearness in the content and expression, ensuring that the intended information is accurately conveyed to the recipient.

[0768] This invention provides a system integrating an information processing device, a schedule management device, an information analysis device, and an emotion analysis means, thereby improving the user's work efficiency and health. Specific embodiments for carrying out the invention are described below.

[0769] First, the user inputs work-related data into a terminal. This could be a computer or smart device they normally use. The server receives the input data and uses an information processing device to analyze it based on its deadline and importance. For this analysis, it is possible to use a generated AI model as an AI module.

[0770] The server uses the results of data analysis to determine task priorities. Based on these priorities, a notification function is configured, and alerts are sent to the user via their device. Specifically, push notifications are sent informing the user of tasks that should be completed first.

[0771] Furthermore, the terminal uses a scheduling device to manage the schedules of the user and related users. This allows for the automatic suggestion of optimal meeting times using AI. For example, it is possible to find common free time slots and set up online meetings.

[0772] Furthermore, the information analysis device analyzes emails and messages received by the terminal and extracts important information. This function allows users to receive advice to avoid misunderstandings as needed. Suggestions for removing ambiguity from messages are one example.

[0773] The emotion analysis system collects user voice and behavioral data and evaluates their emotional state on a server. The results of the emotion analysis are used to optimize work priorities and improve communication methods. If a user is experiencing high levels of stress, lighter tasks may be suggested to promote relaxation.

[0774] As a concrete example, here is an example of a prompt message to a generative AI model: "Evaluate the user's stress level based on their emotional data and suggest appropriate ways to refresh themselves."

[0775] This configuration allows the system to comprehensively support improved productivity and health maintenance in remote work environments.

[0776] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0777] Step 1:

[0778] Users input work-related data into a terminal. This input includes information such as task name, deadline, and proposed priority. This data is sent directly to the server. The data received by the server includes the task name, content, deadline, and predicted priority.

[0779] Step 2:

[0780] Upon receiving the transmitted business data, the server uses an information processing device to analyze the task deadlines and importance using the generated AI model within the AI ​​module. This analysis calculates the execution priority of each task. The input data is the business data sent in step 1, and the output data is the optimal priority for each task generated by the server.

[0781] Step 3:

[0782] The device receives priority information sent from the server and configures its notification function. This function is responsible for sending alerts to the user in order of priority, based on the set time. Specifically, digital calendars and reminder apps provide visual and auditory notifications.

[0783] Step 4:

[0784] Users enter their schedules into a terminal via a scheduling device. This schedule information includes individual appointments, free time slots, and meeting schedules. This entered information is immediately transmitted to the server.

[0785] Step 5:

[0786] The server uses a scheduling device to collect the schedules of the user and other related users, and analyzes the data so that AI can automatically suggest optimal meeting and gathering times. The input is each user's schedule information, and the output is the suggested meeting and gathering times. In this process, the most efficient schedule is suggested by the AI.

[0787] Step 6:

[0788] The terminal notifies the user of the optimal meeting time suggested by the server and adjusts the schedule as needed. The user then uses this information to adjust their own schedule.

[0789] Step 7:

[0790] Electronic messages received from users are parsed on the terminal using natural language processing techniques. Here, the key elements and main points of the message are extracted. The input to the processing is the entire received message, and the output is a summarized key message and advice based on the parsing.

[0791] Step 8:

[0792] Based on the key points analyzed, the server generates advice to avoid misunderstandings and provides it to the user through the terminal. This may include suggestions such as translating ambiguous expressions into specific instructions.

[0793] Step 9:

[0794] The terminal monitors the user's working hours and sends a notification to the server if it detects signs of excessive work. The server then generates a message recommending appropriate rest to the user and notifies the user via the terminal. This notification includes automatically suggested relaxation methods.

[0795] Step 10:

[0796] The user's emotional state is evaluated by an emotion analysis tool based on voice, text, and behavioral patterns collected via the device. Input data consists of user behavior-related information, while output data represents the analyzed emotional state. This optimizes work settings and communication to align with the user's emotional state.

[0797] Step 11:

[0798] The server uses the results of emotion analysis to generate support and suggestions tailored to the user's emotional state and notifies the user via the terminal. For example, if the emotion engine detects high stress, the server will suggest ways to refresh. Specifically, it will suggest performing a light refreshing task.

[0799] (Application Example 2)

[0800] 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".

[0801] In modern society, remote work is becoming commonplace, but at the same time, it is raising concerns about the health and mental stress of individual workers. In particular, maintaining work efficiency while providing an optimal work environment tailored to the user's emotional state is challenging. Furthermore, it is necessary to deliver timely notifications to users regarding important tasks and information. Therefore, there is a growing need for systems that support remote work optimized for individual users.

[0802] 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.

[0803] In this invention, the server includes means for receiving tasks entered by the user via an information processing device, analyzing the deadline and importance of the tasks, and determining priority; means for setting reminders based on the priority and notifying at the set time; means for collecting the schedules of multiple users via a schedule management device, analyzing the schedules, and automatically suggesting the optimal meeting time; means for analyzing the content of electronic messages via a communication analysis device, extracting important information, and providing advice to avoid misunderstandings; means for monitoring work hours and recommending breaks to prevent overwork; means for analyzing the user's emotional state via an emotion engine, optimizing the work environment based on the emotional state, and suggesting stress reduction measures; and means for notifying the user of important information via voice using speech synthesis. This enables comprehensive and optimized remote work support tailored to the user's emotional state.

[0804] An "information processing device" is a device that receives business data entered by a user, analyzes the deadlines and importance of that business, and determines its priority.

[0805] A "reminder" is a function that notifies the user at a specified time based on the set priority.

[0806] A "schedule management device" is a device that collects the schedules of multiple users and analyzes and suggests the optimal meeting times.

[0807] A "communication analysis device" is a device that analyzes the content of electronic messages, extracts important information, and provides advice to avoid misunderstandings.

[0808] The "emotion engine" is an engine that analyzes the user's emotional state and proposes optimized work environments and stress reduction measures tailored to those emotions.

[0809] "Speech synthesis" is a technology that transmits information generated by a computer to the user as speech.

[0810] "Recommending breaks to prevent overwork" is a function that monitors working hours and prompts users to take breaks as needed.

[0811] The system for implementing this invention is constructed by integrating an information processing device, a schedule management device, a communication analysis device, an emotion engine, and a speech synthesis function. These components work together to comprehensively support the user's remote work.

[0812] The server receives user-entered work data through an information processing device, analyzes the deadlines and importance of the tasks, and determines priorities. Reminders are set based on the priorities, and users are notified at the appropriate time. The scheduling device centrally manages the schedules of multiple users and automatically suggests optimal meeting times.

[0813] Communication analysis devices analyze the content of electronic messages and extract important information to provide advice to prevent users from misunderstanding. This supports the smooth progress of business operations.

[0814] Furthermore, the emotion engine analyzes the user's voice input and behavioral patterns to identify their emotional state, and based on the results, it proposes optimizations for the work environment and stress reduction measures. For example, if the device determines that the user is in a high-stress state, it will recommend taking a break and play relaxing music.

[0815] Using speech synthesis technology, it's also possible to convey important information to users via voice. This reduces the time spent reading text information directly, allowing for more efficient information acquisition.

[0816] The system is built using an emotion engine (e.g., a general emotion analysis API), a speech synthesis API (e.g., a general speech synthesis technology), a schedule management API (e.g., a general calendar service), and natural language processing technology suitable for communication analysis devices.

[0817] A concrete example is when a user asks, "What kind of music is suitable for relaxing while working remotely?" and a generative AI model provides recommendations. In this way, the user can obtain a customized work experience based on their emotional state.

[0818] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0819] Step 1:

[0820] The server receives business data from users. This data includes details of the tasks, deadlines, and importance levels. The server takes this data as input and uses an information processing device to analyze it. It calculates priority levels based on deadlines and importance levels and outputs the information necessary for setting reminders.

[0821] Step 2:

[0822] The terminal uses a scheduling device to collect the schedules of the user and related users. This data is used as input for analysis to avoid scheduling conflicts. The analysis results are output, and the system automatically suggests optimal meeting times. These suggestions are optimized based on the user's schedule, ensuring efficient time allocation.

[0823] Step 3:

[0824] The server uses a communication analysis device to analyze electronic messages received by users. It extracts important information from the input messages and uses natural language processing techniques to generate advice to avoid misunderstandings. By outputting these results and providing them to the user, it supports smooth communication.

[0825] Step 4:

[0826] The device analyzes the user's voice input and behavioral patterns using an emotion engine. This data is used as input to identify the emotional state. The identification result is then output, generating information to suggest stress reduction measures and work environment optimizations tailored to the corresponding emotion. This method enables users to manage stress effectively.

[0827] Step 5:

[0828] The device uses speech synthesis to notify the user of important information via voice. Based on the output of the emotion engine, a generative AI model is used to generate appropriate responses as prompts, which are then communicated to the user using speech synthesis technology. This voice notification is an effective means of reducing the time users spend reading text information.

[0829] 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.

[0830] 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.

[0831] 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.

[0832] 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.

[0833] 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.

[0834] 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.

[0835] 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.

[0836] 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.

[0837] 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."

[0838] 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.

[0839] 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.

[0840] 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.

[0841] 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.

[0842] 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.

[0843] 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.

[0844] 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.

[0845] 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.

[0846] 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.

[0847] 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.

[0848] 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.

[0849] 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.

[0850] The following is further disclosed regarding the embodiments described above.

[0851] (Claim 1)

[0852] The information processing device receives tasks entered by the user, analyzes the deadline and importance of those tasks, and determines their priority.

[0853] A means of setting reminders based on the aforementioned priority and sending notifications at the set time,

[0854] A scheduling management device collects the schedules of numerous users, analyzes those schedules, and automatically suggests the optimal meeting time.

[0855] A means of providing advice to avoid misunderstandings while analyzing the content of electronic messages using a communication analysis device, and extracting important information.

[0856] Measures to monitor working hours and encourage breaks to prevent overwork,

[0857] A system that includes this.

[0858] (Claim 2)

[0859] The system according to claim 1, which analyzes the user's daily work patterns and provides regular long-term advice for maintaining health.

[0860] (Claim 3)

[0861] The system according to claim 1, which uses natural language processing technology to summarize user input and recommend necessary actions.

[0862] "Example 1"

[0863] (Claim 1)

[0864] The information processing device receives tasks entered by users, analyzes the deadlines and importance of those tasks, and determines their priority.

[0865] A means for setting notifications based on the aforementioned priority and providing notifications at the set time,

[0866] A scheduling management device collects the schedules of numerous users, analyzes those schedules, and automatically suggests the optimal meeting time.

[0867] A means of providing advice to avoid misunderstandings while analyzing the content of electronic communications using a communication analysis device, and extracting necessary information.

[0868] A means of monitoring working hours and suggesting rest to prevent overwork,

[0869] A means of analyzing input data using a generative AI model and calculating the optimal execution order for various tasks,

[0870] A method for extracting key points from a message using natural language processing and presenting them in a way that is easy for the user to understand,

[0871] A system that includes this.

[0872] (Claim 2)

[0873] The system according to claim 1, which analyzes the user's daily work patterns and provides regular long-term advice for maintaining health.

[0874] (Claim 3)

[0875] The system according to claim 1, which uses natural language processing technology to summarize user input and recommend necessary actions.

[0876] "Application Example 1"

[0877] (Claim 1)

[0878] The information processing device receives tasks entered by the user, analyzes the deadline and importance of those tasks, and determines their priority.

[0879] A means of setting reminders based on the aforementioned priority and sending notifications at the set time,

[0880] A scheduling management device collects the schedules of numerous users, analyzes those schedules, and automatically suggests the optimal meeting time.

[0881] A means of providing advice to avoid misunderstandings while analyzing the content of electronic messages using a communication analysis device, and extracting important information.

[0882] Measures to monitor working hours and encourage breaks to prevent overwork,

[0883] A means of analyzing local activity data and notifying residents of relevant information,

[0884] A means of analyzing transportation information and suggesting the optimal travel method and time,

[0885] A means of monitoring health status and providing advice for maintaining health,

[0886] A system that includes this.

[0887] (Claim 2)

[0888] The system according to claim 1, which analyzes the user's daily work patterns and provides regular long-term advice for maintaining health.

[0889] (Claim 3)

[0890] The system according to claim 1, which uses natural language processing technology to summarize user input and recommend necessary actions.

[0891] "Example 2 of combining an emotion engine"

[0892] (Claim 1)

[0893] The information processing device receives tasks entered by the user, analyzes the deadline and importance of the tasks, and determines the priority.

[0894] A means of setting a notification function based on the aforementioned priority and issuing an alert at the set time,

[0895] A scheduling management device collects the schedules of numerous users, analyzes those schedules, and automatically suggests the optimal meeting time.

[0896] An information analysis device analyzes the content of electronic communications, extracts important information, and provides advice to avoid misunderstandings.

[0897] Measures to monitor working hours and recommend rest to prevent overwork,

[0898] A means for evaluating the user's emotional state using emotion analysis means, and optimizing task priorities and communication methods based on said evaluation,

[0899] A system that includes this.

[0900] (Claim 2)

[0901] The system according to claim 1, which analyzes the user's daily work patterns and provides regular long-term advice for maintaining health.

[0902] (Claim 3)

[0903] The system according to claim 1, which uses natural language processing technology to summarize data from the user and recommend necessary actions.

[0904] "Application example 2 when combining with an emotional engine"

[0905] (Claim 1)

[0906] The information processing device receives tasks entered by the user, analyzes the deadline and importance of those tasks, and determines their priority.

[0907] A means of setting reminders based on the aforementioned priority and sending notifications at the set time,

[0908] A scheduling management device collects the schedules of numerous users, analyzes those schedules, and automatically suggests the optimal meeting time.

[0909] A means of providing advice to avoid misunderstandings while analyzing the content of electronic messages using a communication analysis device, and extracting important information.

[0910] Measures to monitor working hours and encourage breaks to prevent overwork,

[0911] An emotion engine analyzes the user's emotional state, optimizes the work environment based on that emotional state, and proposes stress reduction measures.

[0912] A means of notifying users of important matters by voice using speech synthesis,

[0913] A system that includes this.

[0914] (Claim 2)

[0915] The system according to claim 1, which analyzes the user's daily work patterns and provides regular long-term advice for maintaining health.

[0916] (Claim 3)

[0917] The system according to claim 1, which uses natural language processing technology to summarize user input and recommend necessary actions. [Explanation of symbols]

[0918] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. The information processing device receives tasks entered by the user, analyzes the deadline and importance of those tasks, and determines their priority. A means of setting reminders based on the aforementioned priority and sending notifications at the set time, A scheduling management device collects the schedules of numerous users, analyzes those schedules, and automatically suggests the optimal meeting time. A means of providing advice to avoid misunderstandings while analyzing the content of electronic messages using a communication analysis device, and extracting important information. Measures to monitor working hours and encourage breaks to prevent overwork, A means of analyzing local activity data and notifying residents of relevant information, A means of analyzing transportation information and suggesting the optimal travel method and time, A means of monitoring health status and providing advice for maintaining health, A system that includes this.

2. The system according to claim 1, which analyzes the user's daily work patterns and provides regular long-term advice for maintaining health.

3. The system according to claim 1, which uses natural language processing technology to summarize user input and recommend necessary actions.

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