system

Abstract

We provide the system. [Solution] A means of obtaining meeting participant information from users, A means for automatically obtaining the schedule information of the aforementioned participants, A means of identifying common free time slots among participants based on acquired schedule information, A method for obtaining the availability status of meeting rooms and selecting the most suitable meeting room, A means of presenting users with candidate meeting times and meeting room information, A means of notifying all participants of the meeting information selected by the user from the presented information, A meeting scheduling automation system that includes this.

Description

【Technical Field】 【0001】 The technology of the present disclosure relates to a system. 【Background Art】 【0002】 Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor, including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to the description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. 【Prior Art Documents】 【Patent Documents】 【0003】 【Patent Document 1】 Japanese Patent Application Laid-Open No. 2022-180282 【Summary of the Invention】 【Problems to be Solved by the Invention】 【0004】 Conventionally, in meeting settings, the work of individually checking the schedules of participants and finding a common free time zone has been time-consuming and laborious. In addition, it is also necessary to check the availability of meeting rooms and select an appropriate meeting room. Especially when there are many participants, there is a problem that these processes become complicated. An object of the present invention is to provide a system that automates such a complicated meeting setting process and enables meetings to be set quickly and efficiently. 【Means for Solving the Problems】 【0005】 This invention includes means for obtaining meeting participant information from users and means for automatically obtaining participant schedule information. Furthermore, by providing means for identifying common free time slots among participants based on the obtained schedule information, obtaining the availability of meeting rooms, and selecting the most suitable meeting room, it is possible to present candidate meeting times and meeting room information to users. In addition, by including means for notifying all participants of the meeting information selected by the user from the presented information, the entire process of setting up a meeting can be automated, significantly reducing the time and effort required. 【0006】 "User" refers to the person or group that sets up a meeting, and is the entity that uses the system to input or select meeting information. 【0007】 "Participant information" refers to personal information related to a specific meeting, such as the names, contact information, and departments of individuals participating in the meeting. 【0008】 "Schedule information" refers to information about participants' schedules, including events and available time slots registered in calendar applications, etc. 【0009】 "Free time" refers to periods when all participants have no other appointments, and these are potential times when a meeting can be held. 【0010】 The term "conference room" refers to a physical or virtual space used to actually hold a meeting, and its capacity, facilities, and other conditions may vary. 【0011】 "Availability" refers to the state in which a meeting room is not being used by another reservation and can be used for a meeting. 【0012】 "Notification" refers to any means of informing participants that the meeting has been set up and providing them with its details, and includes communication via email or calendar applications. [Brief explanation of the drawing] 【0013】 [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention] 【0014】 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. 【0015】 First, the terms used in the following description will be explained. 【0016】 In the following embodiments, a numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like. 【0017】 In the following embodiments, a numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor. 【0018】 In the following embodiments, a numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc. 【0019】 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). 【0020】 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." 【0021】 [First Embodiment] 【0022】 Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment. 【0023】 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. 【0024】 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). 【0025】 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. 【0026】 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. 【0027】 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. 【0028】 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. 【0029】 Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14. 【0030】 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. 【0031】 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. 【0032】 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. 【0033】 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". 【0034】 The automated meeting scheduling system of the present invention starts operating when a user inputs meeting participant information. When participant information is sent from the terminal, the server first accesses the participant's calendar information and retrieves their respective schedule information. At this time, the server performs authentication and accesses the participant's calendar via an API. 【0035】 The server analyzes the acquired schedule information to identify time slots that are common to all participants. To find these common free times, the server utilizes databases and scheduling algorithms. 【0036】 Next, the server accesses the company-wide meeting room management system to retrieve the availability of meeting rooms. It then selects a meeting room that meets the appropriate capacity and required equipment requirements. 【0037】 Once potential meeting times and meeting rooms are identified, the server presents this information to the user via their terminal. From the presented options, the user selects their preferred meeting time and meeting room. 【0038】 The selected meeting information is finalized by the server, and the details of the confirmed meeting are prepared. The server then sends an electronic meeting notification to all participants' calendar applications. This officially sets up the meeting and immediately notifies participants. 【0039】 As a concrete example, if a user enters "A," "B," and "C" as participants into the system, the server accesses each person's Google® calendar to check their availability. It then identifies that, for example, everyone is free on "May 10th, 10:00-11:00" and selects an available meeting room for that time slot. Once the user confirms this time, a meeting detail notification is immediately reflected in all participants' calendars. 【0040】 Thus, the present invention automates the entire process from confirming participants' schedules to selecting meeting rooms and notifying them of the meeting setting, thereby enabling fast and efficient meeting scheduling. 【0041】 The following describes the processing flow. 【0042】 Step 1: 【0043】 The user enters the meeting participant information into their terminal. The entered information is sent to the system and stored in the database. 【0044】 Step 2: 【0045】 The server retrieves participant information from the database and performs the necessary authentication to access each participant's calendar. The server requests participant schedule information via an external calendar service API. 【0046】 Step 3: 【0047】 The server analyzes the schedule information of each participant and compares everyone's schedules to identify common free time slots. A schedule management algorithm is then used to detect the optimal time slot. 【0048】 Step 4: 【0049】 The server accesses the organization's meeting room management system to check meeting room availability. It then lists available meeting rooms based on the number of participants and required equipment. 【0050】 Step 5: 【0051】 The server combines the identified common free time and meeting room information to generate several meeting options. These options are then sent to the terminal and presented to the user. 【0052】 Step 6: 【0053】 The user selects their preferred time and meeting room from the presented meeting options. The selection information is then sent back to the server. 【0054】 Step 7: 【0055】 The server receives the user's selection and, based on that information, sends meeting notifications to all participants' calendars. It uses the calendar service API to create electronic meeting events in participants' calendars. 【0056】 Step 8: 【0057】 The server performs a final check to ensure that all steps were completed correctly. It monitors error checking and participant notifications, and notifies users if any problems arise. 【0058】 (Example 1) 【0059】 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." 【0060】 In today's business environment, scheduling meetings is a time-consuming and laborious task. Manually coordinating attendees' schedules and selecting the optimal meeting location is inefficient and prone to information inconsistencies. Therefore, there is a need to automate the meeting scheduling process to reduce the burden on users. 【0061】 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. 【0062】 In this invention, the server includes means for obtaining meeting attendee information from users, means for automatically obtaining attendee schedule data, and means for obtaining the availability of meeting locations and selecting the optimal meeting location. This automates meeting scheduling and enables quick and efficient meeting setup. 【0063】 A "user" refers to a person who inputs information to schedule a meeting and receives the results. 【0064】 "Attendee information" refers to data about the people participating in the meeting, including their names and email addresses. 【0065】 "Schedule data" refers to the individual schedule information of each attendee and is used to identify which time slots are available. 【0066】 "Free time" refers to the period of time that is available to all attendees for the meeting. 【0067】 "Meeting location" refers to the physical or virtual space necessary for conducting a meeting. 【0068】 "Availability" refers to information on whether a specific resource, specifically the meeting location, is available. 【0069】 "Selecting" refers to the process of determining the optimal option based on specific criteria. 【0070】 "Authentication" refers to the process of verifying whether the data a system is trying to access is legitimate. 【0071】 "Communication technology" refers to the technology used to electronically transmit or receive information. 【0072】 "Notification" refers to the act of transmitting information to inform relevant parties about a particular event or matter. 【0073】 This invention is specifically configured as a system for automating meeting scheduling. First, the user uses a terminal to input information about the attendees participating in the meeting into the system. The terminal then sends the entered information to the server. The server retrieves the schedule data for each attendee based on the attendee information. In this process, the server securely retrieves the schedule data through an external information retrieval protocol such as the Google Calendar API using authentication means. 【0074】 The server analyzes the acquired schedule data and utilizes a scheduling algorithm to identify time slots that are commonly available to all attendees. Next, the server accesses the company's meeting location management system to obtain the availability of meeting locations. At this point, the server considers appropriate capacity and equipment requirements to select the most suitable meeting location. 【0075】 Once the candidate meeting time and location are determined, the server sends this information to the terminal and presents it to the user. The user can then select their preferred meeting time and location from the presented information. After the user completes their selection, the information is sent back to the server. The server then performs a final check of the selected meeting information and notifies all attendees of the confirmed meeting details through their electronic calendar applications. This formally sets the meeting, enabling quick and efficient meeting management for participants. 【0076】 As a concrete example, a user enters the attendees "A," "B," and "C" into the system. The server accesses each of their Google Calendars to check their availability. For example, it identifies that everyone is free on "May 10th, 10:00-11:00" and selects a meeting location that matches that time slot. Once the user confirms this time, a meeting detail notification is immediately reflected in the calendars of all attendees. 【0077】 An example of a prompt to the generating AI model might be, "Check the schedules of the next meeting attendees and suggest the best meeting time: Attendee A, Attendee B, Attendee C." This allows users to efficiently schedule meetings without complex procedures. 【0078】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0079】 Step 1: 【0080】 The user uses a terminal to enter meeting attendee information. This information includes the attendee's name and email address. The terminal receives this data as input and sends it to the server. Specifically, the user manually enters the attendee information into the terminal's interface and presses the send button. 【0081】 Step 2: 【0082】 The server retrieves the attendees' schedule data based on the received attendee information. At this stage, the server uses an external information retrieval protocol to collect schedule data from sources such as the Google Calendar API. It uses the attendees' email addresses as input and obtains each attendee's schedule data as output. Specifically, the server uses authentication methods to securely access each calendar API and retrieve the data. 【0083】 Step 3: 【0084】 The server analyzes the acquired schedule data to identify time slots that are common to all attendees. In this step, the server uses a schedule management algorithm to perform data calculations and identify available time slots. It uses each attendee's schedule data as input and extracts common available time slots as output. Specifically, it compares this data with each attendee's schedule stored in the database and lists the common available time slots. 【0085】 Step 4: 【0086】 The server retrieves the availability of meeting locations based on shared free time and selects the optimal meeting location. The server accesses the meeting location management system, using shared free time as input and obtaining optimal meeting location information as output. Specific operations include checking real-time availability using the meeting location management API. 【0087】 Step 5: 【0088】 The server sends the confirmed meeting time and location to the terminal and presents it to the user. As input, it outputs information on candidate meeting times and locations, presenting the user with options. Specifically, the server displays the meeting selection results it has generated on the user interface. 【0089】 Step 6: 【0090】 The user selects their preferred meeting time and location from the presented options and sends this selection data to the server via their device. The device records the selected meeting information as input and sends the data to the server as output. Specifically, the user clicks on the desired meeting option on the screen and presses the confirm button. 【0091】 Step 7: 【0092】 The server sends notifications to the electronic calendar applications of all attendees based on the meeting information selected by the user. The final selected meeting information is used as input, and the meeting is added to the attendees' calendars as output. Specifically, the process involves the server automatically sending meeting invitations to each attendee's calendar API. 【0093】 (Application Example 1) 【0094】 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." 【0095】 Setting up meetings involving stakeholders from different industries presents significant challenges, including the time and effort required for managing individual schedules and booking meeting rooms. Furthermore, real-time notifications to all participants are difficult. This can lead to delays in meeting start times and reduced efficiency in meeting room utilization. 【0096】 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. 【0097】 In this invention, the server includes means for obtaining meeting participant information from users, means for automatically obtaining participant schedule information, and means for identifying common free time slots for participants based on the obtained schedule information. This enables the efficient integration and management of schedule information from multiple stakeholders in different industries, allowing for quick and accurate meeting scheduling. 【0098】 "User" refers to a person who uses the system to set up a meeting. 【0099】 "Participant information" refers to data such as the names and contact information of the people who will be attending the meeting. 【0100】 "Schedule information" refers to the detailed schedule information saved in the participants' calendars. 【0101】 "Shared free time" refers to a period of time when all participants have no prior commitments. 【0102】 "Meeting room availability" refers to information indicating the times when a meeting room is not in use and the physical condition of the meeting room. 【0103】 An "external information acquisition protocol" is a technical specification for acquiring external data via the internet or a network. 【0104】 A "schedule management application" is software used to manage a user's schedule and tasks, thereby improving time efficiency. 【0105】 "Multiple stakeholders from different industries" refers to various people belonging to different fields or industries. 【0106】 "Electronic devices" refers to digital devices such as computers and smartphones. 【0107】 To implement this invention, a server for automating meeting scheduling, a terminal for receiving user information, and a system for sending notifications to participants are required. The server obtains meeting participant information from users through a program. It also accesses participants' schedule management applications using an API to obtain their schedule information. This allows the server to identify common free time slots. 【0108】 The server then accesses the meeting room management system to retrieve available meeting rooms. After the most suitable meeting room is selected, the server presents the user with suggested meeting times and meeting room information via the terminal. The meeting information selected by the user is then reviewed again by the server and notified to all participants via electronic devices. 【0109】 To support this embodiment, the server and terminals incorporate communication protocols such as the Google Calendar API, Figma, and Slack. This enables stakeholders from different industries to share information in real time and efficiently schedule meetings. 【0110】 A concrete example would be a meeting on improving energy efficiency held within a smart city. This meeting would involve representatives from different organizations, such as energy companies, urban planners, and transportation managers. The system would automatically coordinate the schedules of these participants and set the optimal meeting time and location. In an approach using a generative AI model, a possible prompt might be: "Please describe the details of an automated scheduling application for multi-agency meetings in a smart city environment. Include specific scheduling methods, from synchronizing participants' calendars to optimizing meeting room reservations and notification processes." 【0111】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0112】 Step 1: 【0113】 The terminal receives meeting participant information from the user. The input includes the names and contact information of the participants specified by the user, and this information is sent to the server as output. The server stores this information in its database and prepares it for the next processing step. 【0114】 Step 2: 【0115】 The server accesses each participant's schedule management application via API and automatically retrieves their schedule information. Participant information is used as input, and the output is the schedule data for each participant. The server collects this data and generates a dataset for analysis. 【0116】 Step 3: 【0117】 Based on the schedule data acquired by the server, the system identifies time slots that are common to all participants. Data processing involves detecting overlapping time slots and searching for unique, shared free time slots. The output is a list of these common free time slots. 【0118】 Step 4: 【0119】 The server accesses the meeting room management system and searches for available meeting rooms. The input is the common availability time, and meeting room reservation status data is output. Based on this information, the server selects a meeting room with the appropriate size and facilities. 【0120】 Step 5: 【0121】 The server presents the selected meeting time and room information to the user via the terminal. As part of the data processing, the candidate times and room information are compiled, and the output is an information panel displayed to the user. The user then selects the optimal meeting time and room based on this information. 【0122】 Step 6: 【0123】 Based on the user's selection, the server verifies the final meeting information and notifies all participants via electronic devices. The input includes the user's chosen meeting details, and the output is a meeting notification reflected in all participants' scheduling applications. The server monitors the notification delivery to ensure everyone receives the information. 【0124】 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. 【0125】 The meeting scheduling automation system incorporating the emotion engine of the present invention automatically sets meeting schedules while taking into account the user's emotional state. The system mainly consists of three main functions: emotion recognition, schedule analysis, and automated meeting scheduling. 【0126】 When a user enters meeting participant information through their terminal, the server activates an emotion engine to identify emotional data from the user's input actions and voice. The emotion engine estimates emotions such as stress, anxiety, or relaxation based on factors like keyboard keystroke intensity and speed, selected words, and even voice tone. This identified emotional data is then used in the server's process of selecting potential meeting times. 【0127】 The server then automatically retrieves participants' schedules using an external calendar service API and identifies common free time slots. Furthermore, it accesses the meeting room management system to check meeting room availability. Based on this information, the server selects potential meeting times and meeting rooms, but adjusts the selections considering sentiment data obtained from the sentiment engine. Specifically, if a user is experiencing stress, it might suggest a shorter meeting time or a quieter meeting room. 【0128】 Once potential meeting times are determined, the server presents this information to the user's device. The user then selects their preferred meeting time and room, and the server completes the meeting setup by sending notifications to all participants' calendar applications. The server can also adjust the message content of these notifications based on sentiment data to ensure user consideration. 【0129】 As a concrete example, if a user inputs "A," "B," and "C" as meeting participants into the system, and the emotion engine detects the user's stress level at that time, the server will suggest more quiet and less stressful time slots, such as the morning of the following week, to alleviate the stress. In this way, the present invention dynamically considers the user's emotions, enabling flexible adjustments to participant schedule confirmation and meeting room selection, thereby achieving efficient and comfortable meeting scheduling. 【0130】 The following describes the processing flow. 【0131】 Step 1: 【0132】 The user enters the meeting participant information into the device. The device then sends the entered information to the emotion engine, preparing to analyze the user's emotional state. 【0133】 Step 2: 【0134】 The emotion engine evaluates the user's emotional state based on input actions and voice data received from the device. It analyzes keystroke intensity, input speed, voice tone, etc., to identify emotions such as stress and relaxation. 【0135】 Step 3: 【0136】 The server receives participant information and retrieves each participant's schedule via an external calendar API. After an authentication process, it scans each calendar and collects the participants' available time slots. 【0137】 Step 4: 【0138】 The server analyzes the schedule information it has acquired to identify time slots that are open to all participants. Sentiment data is then used to adjust the priority of those specific time slots. 【0139】 Step 5: 【0140】 The server accesses the meeting room management system to retrieve information on available meeting rooms. Based on the evaluation results of the emotion engine, it selects the meeting room best suited to the user's state (for example, a quiet meeting room if a quiet environment is needed). 【0141】 Step 6: 【0142】 The server presents the user with suggested meeting times and meeting room information. The suggestions include emotionally sensitive options. 【0143】 Step 7: 【0144】 The user selects their preferred meeting time and room from the presented options. The selected information is then sent back to the server. 【0145】 Step 8: 【0146】 The server performs a final check of the selected meeting information and sends meeting notifications to all participants via their calendars. The notification content also includes messages tailored to the user's feelings. 【0147】 Step 9: 【0148】 The server checks after sending the notification to ensure there are no errors or omissions. It provides feedback to the user as needed. 【0149】 (Example 2) 【0150】 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". 【0151】 While conventional meeting scheduling systems could automate participant scheduling and meeting room reservations, they lacked the flexibility to accommodate participants' emotional states. In particular, emotional factors such as stress and anxiety significantly impact meeting effectiveness and participant satisfaction, highlighting the need for systems that take these factors into account. 【0152】 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. 【0153】 In this invention, the server includes means for acquiring information about the target person from the user, means for identifying the user's emotional state, and means for automatically acquiring the target person's schedule information. This makes it possible to set up meetings efficiently and comfortably while taking the user's emotions into consideration. 【0154】 A "user" is an individual or group that uses the system to set up a meeting. 【0155】 "Participant information" refers to information about individuals or organizations that are scheduled to attend the meeting, including data such as names and job titles. 【0156】 "Emotional state" refers to information that indicates the user's psychological and emotional state, such as stress levels or relaxation levels. 【0157】 "Schedule information" refers to information about the subject's free time and already scheduled appointments. 【0158】 "Free time" refers to the time slots that are available to all participants in the meeting. 【0159】 A "meeting facility" is a physical or virtual location where a meeting takes place, including conference rooms and online meeting platforms. 【0160】 "Means" refer to the functions and methods that a system employs to achieve its defined objectives. 【0161】 This invention relates to an automated meeting scheduling system that incorporates an emotion engine, primarily for automatically scheduling meetings while considering the user's emotional state. The system is mainly implemented using a server, terminals, and emotion recognition software. 【0162】 First, users enter participant information using their devices. Hardware such as keyboards and voice input devices are used for this input. The data entered by the user is sent to a server, where the emotion engine is activated. The emotion engine identifies emotional data from the entered text and voice. Specifically, the user's stress level and relaxation level are estimated from factors such as keyboard keystroke intensity and input speed, selected words, and even voice tone. 【0163】 Next, the server uses an external calendar service API to retrieve participants' schedule information. In this process, the server identifies the availability of all participants and selects candidate times for the meeting. Furthermore, the server accesses the meeting room management system to check the availability of meeting rooms and select the most suitable meeting room. 【0164】 Based on the identified emotional data, the server adjusts and presents potential meeting times and meeting rooms to the user. For example, if the server determines that the user is experiencing high stress levels, it will suggest a more relaxing time and environment. 【0165】 Once the user selects the optimal meeting time and room, the server notifies all participants of the meeting details. This notification is delivered via an electronic calendar application, and the message content is tailored based on sentiment data. 【0166】 For example, if a user enters "A," "B," and "C" as meeting participants, and the emotion engine detects a stressed state, the server will select a quiet and comfortable time slot, such as the morning of the following week. Through this process, the system achieves efficient and comfortable meeting scheduling that takes the user's emotions into consideration. 【0167】 An example of a prompt to input into a generative AI model is: "I have entered 'A', 'B', and 'C' as meeting participant information. Please suggest the optimal meeting time for someone who is feeling stressed." 【0168】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0169】 Step 1: 【0170】 Users enter participant information using a terminal. This input is done using a keyboard and microphone. The entered data includes the participant's name, job title, and the purpose of the meeting. The terminal prepares to send this data to the server. 【0171】 Step 2: 【0172】 The server activates the emotion engine based on the participant information it receives. The server analyzes the intensity and speed of keyboard input, as well as the tone and speed of voice input, to estimate the user's emotional state. As a result of this processing, data on emotional states such as stress and relaxation is generated. 【0173】 Step 3: 【0174】 The server calls an external calendar service API to automatically retrieve participants' schedule information. This information includes participants' existing appointments and free time. The server analyzes this data to identify common free time slots for all participants. The output is a list of potential free time slots. 【0175】 Step 4: 【0176】 The server accesses the meeting room management system to retrieve the availability of meeting facilities. The server then lists available meeting rooms and compares them with potential available times. As a result, the optimal meeting time and meeting room are selected. 【0177】 Step 5: 【0178】 The server considers emotional state data obtained from the emotion engine and adjusts the suggested meeting times and meeting room information accordingly. For example, if the user is experiencing high stress levels, the server prioritizes suggesting quieter meeting rooms and shorter meeting times. The adjusted list of options is then output to the user. 【0179】 Step 6: 【0180】 The user selects the most suitable meeting time and room from the options presented on the device. The device then sends this selection information to the server. 【0181】 Step 7: 【0182】 The server then notifies all participants of the selected meeting time and room information. This notification is sent via an electronic calendar application, and a message based on sentiment data is sent to inform all participants that the meeting setup is complete. 【0183】 (Application Example 2) 【0184】 Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal". 【0185】 Conventional automated meeting scheduling systems failed to consider the emotional state of participants when coordinating schedules or selecting meeting spaces, resulting in difficulties in efficiently and comfortably scheduling meetings. Furthermore, flexible responses based on emotions were also required when adjusting security warnings. 【0186】 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. 【0187】 In this invention, the server includes means for recognizing the user's emotional state and adjusting the security warning level based on the obtained emotional data, means for automatically acquiring participant schedule information, and means for acquiring the availability of meeting spaces and selecting the optimal meeting space. This enables flexible and efficient meeting setup and security warning adjustment that takes the user's emotions into consideration. 【0188】 A "user" is an individual or legal entity that uses the system. 【0189】 "Participant information" refers to the information of individual people who are scheduled to attend a meeting or event. 【0190】 "Schedule information" refers to information about appointments and times that participants have already registered in their schedules. 【0191】 "Shared free time" refers to a time slot that is convenient for multiple participants at the same time. 【0192】 A "meeting space" is a physical or virtual location that can be used for meetings or gatherings. 【0193】 "Emotional state" refers to the mental state that indicates emotions, such as the user's stress level or degree of relaxation. 【0194】 "Emotional data" refers to information about the emotional state of users that has been collected. 【0195】 "Security alert level" refers to the degree to which the system adjusts its security alerts based on sentiment data. 【0196】 "External information acquisition procedures" refer to the procedures for obtaining information from external services or databases. 【0197】 An "electronic schedule management application" is a schedule management tool used on a digital device. 【0198】 The system implementing this invention primarily recognizes the user's emotional state in real time and adjusts meeting settings and security alerts accordingly. The server receives meeting participant information from the user and automatically retrieves participant schedule information using an external calendar service API. This allows the system to identify common free time slots among participants and check the availability of meeting spaces. 【0199】 Next, the server activates the emotion engine and identifies emotion data from the user's voice and typing patterns. This emotion data is analyzed using machine learning models such as TENSORFLOW® to determine the user's emotional state (stress, relaxation, etc.). Based on these results, the security alert level is dynamically adjusted, and recommended actions are notified to the user as needed. 【0200】 For example, if the server detects that a user is stressed, it will schedule meetings for quieter morning hours to help them maintain a relaxed state. Additionally, if the emotion engine detects tension when accessing sensitive data, it will enhance warning messages to ensure security. 【0201】 An example of a prompt might be: "How should security warnings be adjusted based on the user's current emotional state? Please categorize the emotional data into three types: (1) stress, (2) relaxation, and (3) tension." In this way, the server provides an efficient and secure experience through user emotion-based interaction. 【0202】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0203】 Step 1: 【0204】 The server receives meeting participant information from the terminal. This includes participants' names and contact information. Based on this information, the server prepares to retrieve schedule information in the next step. 【0205】 Step 2: 【0206】 The server automatically retrieves participant schedule information by calling an external calendar service API. Using participant information as input, it obtains schedule data for each participant. As output, it generates a list of all participants' schedules, preparing foundational data for identifying common free time slots. 【0207】 Step 3: 【0208】 The server runs an algorithm to identify common free time slots. It uses the schedule information of all participants as input and extracts time slots that are available to all participants based on that information. The output is a list of potential common free time slots. 【0209】 Step 4: 【0210】 The server connects to the meeting space management system to retrieve space availability. It takes common available time slots and requirements as input and selects the most suitable meeting space. The output lists the best available meeting spaces. 【0211】 Step 5: 【0212】 The server activates an emotion engine and collects the user's voice input and typing patterns. This data is then analyzed by an AI model (TensorFlow) to generate emotion data and estimate the user's emotional state (stress, relaxation, etc.). Real-time emotion data is obtained as output. 【0213】 Step 6: 【0214】 The server adjusts meeting time and space suggestions based on emotional data. Using emotional data, common available time slots, and potential meeting spaces as input, it selects the schedule and space best suited to the user's emotional state. The output is a refined list of meeting options. 【0215】 Step 7: 【0216】 The server presents the coordinated meeting options to the terminal, allowing the user to review and select one. This enables the user to choose the most suitable meeting time and space according to their own preferences. The server then prepares the information for the meeting selected by the user as output. 【0217】 Step 8: 【0218】 The server notifies all participants of the finalized meeting information. Using the finalized meeting time and location as input, it automatically registers the meeting in each participant's calendar via an electronic scheduling application. The output completes the sharing of the meeting information. 【0219】 This enables flexible meeting scheduling tailored to users' emotions, allowing for efficient and secure business operations. 【0220】 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. 【0221】 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. 【0222】 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. 【0223】 [Second Embodiment] 【0224】 Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment. 【0225】 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. 【0226】 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). 【0227】 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. 【0228】 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. 【0229】 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). 【0230】 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. 【0231】 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. 【0232】 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. 【0233】 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. 【0234】 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. 【0235】 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". 【0236】 The automated meeting scheduling system of the present invention starts operating when a user inputs meeting participant information. When participant information is sent from the terminal, the server first accesses the participant's calendar information and retrieves their respective schedule information. At this time, the server performs authentication and accesses the participant's calendar via an API. 【0237】 The server analyzes the acquired schedule information to identify time slots that are common to all participants. To find these common free times, the server utilizes databases and scheduling algorithms. 【0238】 Next, the server accesses the company-wide meeting room management system to retrieve the availability of meeting rooms. It then selects a meeting room that meets the appropriate capacity and required equipment requirements. 【0239】 Once potential meeting times and meeting rooms are identified, the server presents this information to the user via their terminal. From the presented options, the user selects their preferred meeting time and meeting room. 【0240】 The selected meeting information is finalized by the server, and the details of the confirmed meeting are prepared. The server then sends an electronic meeting notification to all participants' calendar applications. This officially sets up the meeting and immediately notifies participants. 【0241】 As a concrete example, if a user enters "A," "B," and "C" as participants into the system, the server accesses each person's Google Calendar to check their availability. It then identifies that everyone is free on, for example, "May 10th, 10:00-11:00," and selects an available meeting room for that time slot. Once the user confirms this time, a meeting detail notification is immediately reflected in all participants' calendars. 【0242】 Thus, the present invention automates the entire process from confirming participants' schedules to selecting meeting rooms and notifying them of the meeting setting, thereby enabling fast and efficient meeting scheduling. 【0243】 The following describes the processing flow. 【0244】 Step 1: 【0245】 The user enters the meeting participant information into their terminal. The entered information is sent to the system and stored in the database. 【0246】 Step 2: 【0247】 The server retrieves participant information from the database and performs the necessary authentication to access each participant's calendar. The server requests participant schedule information via an external calendar service API. 【0248】 Step 3: 【0249】 The server analyzes the schedule information of each participant and compares everyone's schedules to identify common free time slots. A schedule management algorithm is then used to detect the optimal time slot. 【0250】 Step 4: 【0251】 The server accesses the organization's meeting room management system to check meeting room availability. It then lists available meeting rooms based on the number of participants and required equipment. 【0252】 Step 5: 【0253】 The server combines the identified common free time and meeting room information to generate several meeting options. These options are then sent to the terminal and presented to the user. 【0254】 Step 6: 【0255】 The user selects their preferred time and meeting room from the presented meeting options. The selection information is then sent back to the server. 【0256】 Step 7: 【0257】 The server receives the user's selection and, based on that information, sends meeting notifications to all participants' calendars. It uses the calendar service API to create electronic meeting events in participants' calendars. 【0258】 Step 8: 【0259】 The server performs a final check to ensure that all steps were completed correctly. It monitors error checking and participant notifications, and notifies users if any problems arise. 【0260】 (Example 1) 【0261】 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." 【0262】 In today's business environment, scheduling meetings is a time-consuming and laborious task. Manually coordinating attendees' schedules and selecting the optimal meeting location is inefficient and prone to information inconsistencies. Therefore, there is a need to automate the meeting scheduling process to reduce the burden on users. 【0263】 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. 【0264】 In this invention, the server includes means for obtaining meeting attendee information from users, means for automatically obtaining attendee schedule data, and means for obtaining the availability of meeting locations and selecting the optimal meeting location. This automates meeting scheduling and enables quick and efficient meeting setup. 【0265】 A "user" refers to a person who inputs information to schedule a meeting and receives the results. 【0266】 "Attendee information" refers to data about the people participating in the meeting, including their names and email addresses. 【0267】 "Schedule data" refers to the individual schedule information of each attendee and is used to identify which time slots are available. 【0268】 "Free time" refers to the period of time that is available to all attendees for the meeting. 【0269】 "Meeting location" refers to the physical or virtual space necessary for conducting a meeting. 【0270】 "Availability" refers to information on whether a specific resource, specifically the meeting location, is available. 【0271】 "Selecting" refers to the process of determining the optimal option based on specific criteria. 【0272】 "Authentication" refers to the process of verifying whether the data a system is trying to access is legitimate. 【0273】 "Communication technology" refers to the technology used to electronically transmit or receive information. 【0274】 "Notification" refers to the act of transmitting information to inform relevant parties about a particular event or matter. 【0275】 This invention is specifically configured as a system for automating meeting scheduling. First, the user uses a terminal to input information about the attendees participating in the meeting into the system. The terminal then sends the entered information to the server. The server retrieves the schedule data for each attendee based on the attendee information. In this process, the server securely retrieves the schedule data through an external information retrieval protocol such as the Google Calendar API using authentication means. 【0276】 The server analyzes the acquired schedule data and utilizes a scheduling algorithm to identify time slots that are commonly available to all attendees. Next, the server accesses the company's meeting location management system to obtain the availability of meeting locations. At this point, the server considers appropriate capacity and equipment requirements to select the most suitable meeting location. 【0277】 Once the candidate meeting time and location are determined, the server sends this information to the terminal and presents it to the user. The user can then select their preferred meeting time and location from the presented information. After the user completes their selection, the information is sent back to the server. The server then performs a final check of the selected meeting information and notifies all attendees of the confirmed meeting details through their electronic calendar applications. This formally sets the meeting, enabling quick and efficient meeting management for participants. 【0278】 As a concrete example, a user enters the attendees "A," "B," and "C" into the system. The server accesses each of their Google Calendars to check their availability. For example, it identifies that everyone is free on "May 10th, 10:00-11:00" and selects a meeting location that matches that time slot. Once the user confirms this time, a meeting detail notification is immediately reflected in the calendars of all attendees. 【0279】 An example of a prompt to the generating AI model might be, "Check the schedules of the next meeting attendees and suggest the best meeting time: Attendee A, Attendee B, Attendee C." This allows users to efficiently schedule meetings without complex procedures. 【0280】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0281】 Step 1: 【0282】 The user uses a terminal to enter meeting attendee information. This information includes the attendee's name and email address. The terminal receives this data as input and sends it to the server. Specifically, the user manually enters the attendee information into the terminal's interface and presses the send button. 【0283】 Step 2: 【0284】 Based on the received attendee information, the server retrieves the schedule data of the attendees. At this stage, the server uses an external information acquisition protocol to collect schedule data from, for example, the Google Calendar API. The email addresses of the attendees are used as input, and the schedule data of each attendee is obtained as output. The specific operation is that the server utilizes authentication means to securely access each calendar API to acquire data. 【0285】 Step 3: 【0286】 The server analyzes the retrieved schedule data to identify the time slots that are commonly available to all attendees. In this step, the server performs data calculations using a scheduling management algorithm to identify the free time. The schedule data of each attendee is used as input, and the common free time is extracted as output. The specific operation is to compare with the schedules of each attendee stored in the database and list up the common free time. 【0287】 Step 4: 【0288】 Based on the common free time, the server obtains the availability of the meeting venues and selects the optimal meeting venue. The server accesses the meeting venue management system, uses the common free time as input, and obtains the optimal meeting venue information as output. The specific operations include using the meeting venue management API to check the real-time availability. 【0289】 Step 5: 【0290】 The server sends the confirmed meeting time and meeting venue to the terminal and presents them to the user. The information of the candidate times and locations of the specific meeting is used as input, and options are presented to the user. The specific operation is that the server displays the meeting selection result constructed by the server on the user interface. 【0291】 Step 6: 【0292】 The user selects their preferred meeting time and location from the presented options and sends this selection data to the server via their device. The device records the selected meeting information as input and sends the data to the server as output. Specifically, the user clicks on the desired meeting option on the screen and presses the confirm button. 【0293】 Step 7: 【0294】 The server sends notifications to the electronic calendar applications of all attendees based on the meeting information selected by the user. The final selected meeting information is used as input, and the meeting is added to the attendees' calendars as output. Specifically, the process involves the server automatically sending meeting invitations to each attendee's calendar API. 【0295】 (Application Example 1) 【0296】 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." 【0297】 Setting up meetings involving stakeholders from different industries presents significant challenges, including the time and effort required for managing individual schedules and booking meeting rooms. Furthermore, real-time notifications to all participants are difficult. This can lead to delays in meeting start times and reduced efficiency in meeting room utilization. 【0298】 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. 【0299】 In this invention, the server includes means for obtaining meeting participant information from users, means for automatically obtaining participant schedule information, and means for identifying common free time slots for participants based on the obtained schedule information. This enables the efficient integration and management of schedule information from multiple stakeholders in different industries, allowing for quick and accurate meeting scheduling. 【0300】 "User" refers to a person who uses the system to set up a meeting. 【0301】 "Participant information" refers to data such as the names and contact information of the people participating in the meeting. 【0302】 "Schedule information" refers to the details of the schedules stored in the participants' calendars. 【0303】 "Common free time" means a time period when all participants have no schedule. 【0304】 "Availability of meeting rooms" refers to information indicating time periods when the meeting rooms are not in use and the physical conditions of the meeting rooms. 【0305】 "External information acquisition protocol" is a technical specification for acquiring external data via the Internet or a network. 【0306】 "Schedule management application" is software used to manage users' schedules and tasks to improve time efficiency. 【0307】 "Multiple stakeholders from different industries" refers to various people belonging to different fields and industries. 【0308】 "Electronic device" means a digital device such as a computer or a smartphone. 【0309】 To implement this invention, a server for automating meeting settings, a terminal for receiving user information, and a system for sending notifications to participants are required. The server acquires participant information of the meeting from the user through a program. Also, it accesses the participants' schedule management applications using an API to obtain schedule information. Thereby, the server can identify the common free time. 【0310】 The server then accesses the meeting room management system to retrieve available meeting rooms. After the most suitable meeting room is selected, the server presents the user with suggested meeting times and meeting room information via the terminal. The meeting information selected by the user is then reviewed again by the server and notified to all participants via electronic devices. 【0311】 To support this embodiment, the server and terminals incorporate communication protocols such as the Google Calendar API, Figma, and Slack. This enables stakeholders from different industries to share information in real time and efficiently schedule meetings. 【0312】 A concrete example would be a meeting on improving energy efficiency held within a smart city. This meeting would involve representatives from different organizations, such as energy companies, urban planners, and transportation managers. The system would automatically coordinate the schedules of these participants and set the optimal meeting time and location. In an approach using a generative AI model, a possible prompt might be: "Please describe the details of an automated scheduling application for multi-agency meetings in a smart city environment. Include specific scheduling methods, from synchronizing participants' calendars to optimizing meeting room reservations and notification processes." 【0313】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0314】 Step 1: 【0315】 The terminal receives meeting participant information from the user. The input includes the names and contact information of the participants specified by the user, and this information is sent to the server as output. The server stores this information in its database and prepares it for the next processing step. 【0316】 Step 2: 【0317】 The server accesses each participant's schedule management application via API and automatically retrieves their schedule information. Participant information is used as input, and the output is the schedule data for each participant. The server collects this data and generates a dataset for analysis. 【0318】 Step 3: 【0319】 Based on the schedule data acquired by the server, the system identifies time slots that are common to all participants. Data processing involves detecting overlapping time slots and searching for unique, shared free time slots. The output is a list of these common free time slots. 【0320】 Step 4: 【0321】 The server accesses the meeting room management system and searches for available meeting rooms. The input is the common availability time, and meeting room reservation status data is output. Based on this information, the server selects a meeting room with the appropriate size and facilities. 【0322】 Step 5: 【0323】 The server presents the selected meeting time and room information to the user via the terminal. As part of the data processing, the candidate times and room information are compiled, and the output is an information panel displayed to the user. The user then selects the optimal meeting time and room based on this information. 【0324】 Step 6: 【0325】 Based on the user's selection, the server verifies the final meeting information and notifies all participants via electronic devices. The input includes the user's chosen meeting details, and the output is a meeting notification reflected in all participants' scheduling applications. The server monitors the notification delivery to ensure everyone receives the information. 【0326】 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. 【0327】 The meeting scheduling automation system incorporating the emotion engine of the present invention automatically sets meeting schedules while taking into account the user's emotional state. The system mainly consists of three main functions: emotion recognition, schedule analysis, and automated meeting scheduling. 【0328】 When a user enters meeting participant information through their terminal, the server activates an emotion engine to identify emotional data from the user's input actions and voice. The emotion engine estimates emotions such as stress, anxiety, or relaxation based on factors like keyboard keystroke intensity and speed, selected words, and even voice tone. This identified emotional data is then used in the server's process of selecting potential meeting times. 【0329】 The server then automatically retrieves participants' schedules using an external calendar service API and identifies common free time slots. Furthermore, it accesses the meeting room management system to check meeting room availability. Based on this information, the server selects potential meeting times and meeting rooms, but adjusts the selections considering sentiment data obtained from the sentiment engine. Specifically, if a user is experiencing stress, it might suggest a shorter meeting time or a quieter meeting room. 【0330】 Once potential meeting times are determined, the server presents this information to the user's device. The user then selects their preferred meeting time and room, and the server completes the meeting setup by sending notifications to all participants' calendar applications. The server can also adjust the message content of these notifications based on sentiment data to ensure user consideration. 【0331】 As a concrete example, if a user inputs "A," "B," and "C" as meeting participants into the system, and the emotion engine detects the user's stress level at that time, the server will suggest more quiet and less stressful time slots, such as the morning of the following week, to alleviate the stress. In this way, the present invention dynamically considers the user's emotions, enabling flexible adjustments to participant schedule confirmation and meeting room selection, thereby achieving efficient and comfortable meeting scheduling. 【0332】 The following describes the processing flow. 【0333】 Step 1: 【0334】 The user enters the meeting participant information into the device. The device then sends the entered information to the emotion engine, preparing to analyze the user's emotional state. 【0335】 Step 2: 【0336】 The emotion engine evaluates the user's emotional state based on input actions and voice data received from the device. It analyzes keystroke intensity, input speed, voice tone, etc., to identify emotions such as stress and relaxation. 【0337】 Step 3: 【0338】 The server receives participant information and retrieves each participant's schedule via an external calendar API. After an authentication process, it scans each calendar and collects the participants' available time slots. 【0339】 Step 4: 【0340】 The server analyzes the schedule information it has acquired to identify time slots that are open to all participants. Sentiment data is then used to adjust the priority of those specific time slots. 【0341】 Step 5: 【0342】 The server accesses the meeting room management system to retrieve information on available meeting rooms. Based on the evaluation results of the emotion engine, it selects the meeting room best suited to the user's state (for example, a quiet meeting room if a quiet environment is needed). 【0343】 Step 6: 【0344】 The server presents the user with suggested meeting times and meeting room information. The suggestions include emotionally sensitive options. 【0345】 Step 7: 【0346】 The user selects their preferred meeting time and room from the presented options. The selected information is then sent back to the server. 【0347】 Step 8: 【0348】 The server performs a final check of the selected meeting information and sends meeting notifications to all participants via their calendars. The notification content also includes messages tailored to the user's feelings. 【0349】 Step 9: 【0350】 The server checks after sending the notification to ensure there are no errors or omissions. It provides feedback to the user as needed. 【0351】 (Example 2) 【0352】 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". 【0353】 While conventional meeting scheduling systems could automate participant scheduling and meeting room reservations, they lacked the flexibility to accommodate participants' emotional states. In particular, emotional factors such as stress and anxiety significantly impact meeting effectiveness and participant satisfaction, highlighting the need for systems that take these factors into account. 【0354】 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. 【0355】 In this invention, the server includes means for acquiring information about the target person from the user, means for identifying the user's emotional state, and means for automatically acquiring the target person's schedule information. This makes it possible to set up meetings efficiently and comfortably while taking the user's emotions into consideration. 【0356】 A "user" is an individual or group that uses the system to set up a meeting. 【0357】 "Participant information" refers to information about individuals or organizations that are scheduled to attend the meeting, including data such as names and job titles. 【0358】 "Emotional state" refers to information that indicates the user's psychological and emotional state, such as stress levels or relaxation levels. 【0359】 "Schedule information" refers to information about the subject's free time and already scheduled appointments. 【0360】 "Free time" refers to the time slots that are available to all participants in the meeting. 【0361】 A "meeting facility" is a physical or virtual location where a meeting takes place, including conference rooms and online meeting platforms. 【0362】 "Means" refer to the functions and methods that a system employs to achieve its defined objectives. 【0363】 This invention relates to an automated meeting scheduling system that incorporates an emotion engine, primarily for automatically scheduling meetings while considering the user's emotional state. The system is mainly implemented using a server, terminals, and emotion recognition software. 【0364】 First, users enter participant information using their devices. Hardware such as keyboards and voice input devices are used for this input. The data entered by the user is sent to a server, where the emotion engine is activated. The emotion engine identifies emotional data from the entered text and voice. Specifically, the user's stress level and relaxation level are estimated from factors such as keyboard keystroke intensity and input speed, selected words, and even voice tone. 【0365】 Next, the server uses an external calendar service API to retrieve participants' schedule information. In this process, the server identifies the availability of all participants and selects candidate times for the meeting. Furthermore, the server accesses the meeting room management system to check the availability of meeting rooms and select the most suitable meeting room. 【0366】 Based on the identified emotional data, the server adjusts and presents potential meeting times and meeting rooms to the user. For example, if the server determines that the user is experiencing high stress levels, it will suggest a more relaxing time and environment. 【0367】 Once the user selects the optimal meeting time and room, the server notifies all participants of the meeting details. This notification is delivered via an electronic calendar application, and the message content is tailored based on sentiment data. 【0368】 For example, if a user enters "A," "B," and "C" as meeting participants, and the emotion engine detects a stressed state, the server will select a quiet and comfortable time slot, such as the morning of the following week. Through this process, the system achieves efficient and comfortable meeting scheduling that takes the user's emotions into consideration. 【0369】 An example of a prompt to input into a generative AI model is: "I have entered 'A', 'B', and 'C' as meeting participant information. Please suggest the optimal meeting time for someone who is feeling stressed." 【0370】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0371】 Step 1: 【0372】 Users enter participant information using a terminal. This input is done using a keyboard and microphone. The entered data includes the participant's name, job title, and the purpose of the meeting. The terminal prepares to send this data to the server. 【0373】 Step 2: 【0374】 The server activates the emotion engine based on the participant information it receives. The server analyzes the intensity and speed of keyboard input, as well as the tone and speed of voice input, to estimate the user's emotional state. As a result of this processing, data on emotional states such as stress and relaxation is generated. 【0375】 Step 3: 【0376】 The server calls an external calendar service API to automatically retrieve participants' schedule information. This information includes participants' existing appointments and free time. The server analyzes this data to identify common free time slots for all participants. The output is a list of potential free time slots. 【0377】 Step 4: 【0378】 The server accesses the meeting room management system to retrieve the availability of meeting facilities. The server then lists available meeting rooms and compares them with potential available times. As a result, the optimal meeting time and meeting room are selected. 【0379】 Step 5: 【0380】 The server considers emotional state data obtained from the emotion engine and adjusts the suggested meeting times and meeting room information accordingly. For example, if the user is experiencing high stress levels, the server prioritizes suggesting quieter meeting rooms and shorter meeting times. The adjusted list of options is then output to the user. 【0381】 Step 6: 【0382】 The user selects the most suitable meeting time and room from the options presented on the device. The device then sends this selection information to the server. 【0383】 Step 7: 【0384】 The server then notifies all participants of the selected meeting time and room information. This notification is sent via an electronic calendar application, and a message based on sentiment data is sent to inform all participants that the meeting setup is complete. 【0385】 (Application Example 2) 【0386】 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." 【0387】 Conventional automated meeting scheduling systems failed to consider the emotional state of participants when coordinating schedules or selecting meeting spaces, resulting in difficulties in efficiently and comfortably scheduling meetings. Furthermore, flexible responses based on emotions were also required when adjusting security warnings. 【0388】 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. 【0389】 In this invention, the server includes means for recognizing the user's emotional state and adjusting the security warning level based on the obtained emotional data, means for automatically acquiring participant schedule information, and means for acquiring the availability of meeting spaces and selecting the optimal meeting space. This enables flexible and efficient meeting setup and security warning adjustment that takes the user's emotions into consideration. 【0390】 A "user" is an individual or legal entity that uses the system. 【0391】 "Participant information" refers to the information of individual people who are scheduled to attend a meeting or event. 【0392】 "Schedule information" refers to information about appointments and times that participants have already registered in their schedules. 【0393】 "Shared free time" refers to a time slot that is convenient for multiple participants at the same time. 【0394】 A "meeting space" is a physical or virtual location that can be used for meetings or gatherings. 【0395】 "Emotional state" refers to the mental state that indicates emotions, such as the user's stress level or degree of relaxation. 【0396】 "Emotional data" refers to information about the emotional state of users that has been collected. 【0397】 "Security alert level" refers to the degree to which the system adjusts its security alerts based on sentiment data. 【0398】 "External information acquisition procedures" refer to the procedures for obtaining information from external services or databases. 【0399】 An "electronic schedule management application" is a schedule management tool used on a digital device. 【0400】 The system implementing this invention primarily recognizes the user's emotional state in real time and adjusts meeting settings and security alerts accordingly. The server receives meeting participant information from the user and automatically retrieves participant schedule information using an external calendar service API. This allows the system to identify common free time slots among participants and check the availability of meeting spaces. 【0401】 Next, the server activates the emotion engine and identifies emotion data from the user's voice and typing patterns. This emotion data is analyzed using machine learning models such as TensorFlow to determine the user's emotional state (stress, relaxation, etc.). Based on these results, the security alert level is dynamically adjusted, and recommended actions are notified to the user as needed. 【0402】 For example, if the server detects that a user is stressed, it will schedule meetings for quieter morning hours to help them maintain a relaxed state. Additionally, if the emotion engine detects tension when accessing sensitive data, it will enhance warning messages to ensure security. 【0403】 An example of a prompt might be: "How should security warnings be adjusted based on the user's current emotional state? Please categorize the emotional data into three types: (1) stress, (2) relaxation, and (3) tension." In this way, the server provides an efficient and secure experience through user emotion-based interaction. 【0404】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0405】 Step 1: 【0406】 The server receives meeting participant information from the terminal. This includes participants' names and contact information. Based on this information, the server prepares to retrieve schedule information in the next step. 【0407】 Step 2: 【0408】 The server automatically retrieves participant schedule information by calling an external calendar service API. Using participant information as input, it obtains schedule data for each participant. As output, it generates a list of all participants' schedules, preparing foundational data for identifying common free time slots. 【0409】 Step 3: 【0410】 The server runs an algorithm to identify common free time slots. It uses the schedule information of all participants as input and extracts time slots that are available to all participants based on that information. The output is a list of potential common free time slots. 【0411】 Step 4: 【0412】 The server connects to the meeting space management system to retrieve space availability. It takes common available time slots and requirements as input and selects the most suitable meeting space. The output lists the best available meeting spaces. 【0413】 Step 5: 【0414】 The server activates an emotion engine and collects the user's voice input and typing patterns. This data is then analyzed by an AI model (TensorFlow) to generate emotion data and estimate the user's emotional state (stress, relaxation, etc.). Real-time emotion data is obtained as output. 【0415】 Step 6: 【0416】 The server adjusts meeting time and space suggestions based on emotional data. Using emotional data, common available time slots, and potential meeting spaces as input, it selects the schedule and space best suited to the user's emotional state. The output is a refined list of meeting options. 【0417】 Step 7: 【0418】 The server presents the coordinated meeting options to the terminal, allowing the user to review and select one. This enables the user to choose the most suitable meeting time and space according to their own preferences. The server then prepares the information for the meeting selected by the user as output. 【0419】 Step 8: 【0420】 The server notifies all participants of the finalized meeting information. Using the finalized meeting time and location as input, it automatically registers the meeting in each participant's calendar via an electronic scheduling application. The output completes the sharing of the meeting information. 【0421】 This enables flexible meeting scheduling tailored to users' emotions, allowing for efficient and secure business operations. 【0422】 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. 【0423】 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. 【0424】 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. 【0425】 [Third Embodiment] 【0426】 Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment. 【0427】 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. 【0428】 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). 【0429】 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. 【0430】 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. 【0431】 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). 【0432】 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. 【0433】 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. 【0434】 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. 【0435】 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. 【0436】 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. 【0437】 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". 【0438】 The automated meeting scheduling system of the present invention starts operating when a user inputs meeting participant information. When participant information is sent from the terminal, the server first accesses the participant's calendar information and retrieves their respective schedule information. At this time, the server performs authentication and accesses the participant's calendar via an API. 【0439】 The server analyzes the acquired schedule information to identify time slots that are common to all participants. To find these common free times, the server utilizes databases and scheduling algorithms. 【0440】 Next, the server accesses the company-wide meeting room management system to retrieve the availability of meeting rooms. It then selects a meeting room that meets the appropriate capacity and required equipment requirements. 【0441】 Once potential meeting times and meeting rooms are identified, the server presents this information to the user via their terminal. From the presented options, the user selects their preferred meeting time and meeting room. 【0442】 The selected meeting information is finalized by the server, and the details of the confirmed meeting are prepared. The server then sends an electronic meeting notification to all participants' calendar applications. This officially sets up the meeting and immediately notifies participants. 【0443】 As a concrete example, if a user enters "A," "B," and "C" as participants into the system, the server accesses each person's Google Calendar to check their availability. It then identifies that everyone is free on, for example, "May 10th, 10:00-11:00," and selects an available meeting room for that time slot. Once the user confirms this time, a meeting detail notification is immediately reflected in all participants' calendars. 【0444】 Thus, the present invention automates the entire process from confirming participants' schedules to selecting meeting rooms and notifying them of the meeting setting, thereby enabling fast and efficient meeting scheduling. 【0445】 The following describes the processing flow. 【0446】 Step 1: 【0447】 The user enters the meeting participant information into their terminal. The entered information is sent to the system and stored in the database. 【0448】 Step 2: 【0449】 The server retrieves participant information from the database and performs the necessary authentication to access each participant's calendar. The server requests participant schedule information via an external calendar service API. 【0450】 Step 3: 【0451】 The server analyzes the schedule information of each participant and compares everyone's schedules to identify common free time slots. A schedule management algorithm is then used to detect the optimal time slot. 【0452】 Step 4: 【0453】 The server accesses the organization's meeting room management system to check meeting room availability. It then lists available meeting rooms based on the number of participants and required equipment. 【0454】 Step 5: 【0455】 The server combines the identified common free time and meeting room information to generate several meeting options. These options are then sent to the terminal and presented to the user. 【0456】 Step 6: 【0457】 The user selects their preferred time and meeting room from the presented meeting options. The selection information is then sent back to the server. 【0458】 Step 7: 【0459】 The server receives the user's selection and, based on that information, sends meeting notifications to all participants' calendars. It uses the calendar service API to create electronic meeting events in participants' calendars. 【0460】 Step 8: 【0461】 The server performs a final check to ensure that all steps were completed correctly. It monitors error checking and participant notifications, and notifies users if any problems arise. 【0462】 (Example 1) 【0463】 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." 【0464】 In today's business environment, scheduling meetings is a time-consuming and laborious task. Manually coordinating attendees' schedules and selecting the optimal meeting location is inefficient and prone to information inconsistencies. Therefore, there is a need to automate the meeting scheduling process to reduce the burden on users. 【0465】 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. 【0466】 In this invention, the server includes means for obtaining meeting attendee information from users, means for automatically obtaining attendee schedule data, and means for obtaining the availability of meeting locations and selecting the optimal meeting location. This automates meeting scheduling and enables quick and efficient meeting setup. 【0467】 A "user" refers to a person who inputs information to schedule a meeting and receives the results. 【0468】 "Attendee information" refers to data about the people participating in the meeting, including their names and email addresses. 【0469】 "Schedule data" refers to the individual schedule information of each attendee and is used to identify which time slots are available. 【0470】 "Free time" refers to the period of time that is available to all attendees for the meeting. 【0471】 "Meeting location" refers to the physical or virtual space necessary for conducting a meeting. 【0472】 "Availability" refers to information on whether a specific resource, specifically the meeting location, is available. 【0473】 "Selecting" refers to the process of determining the optimal option based on specific criteria. 【0474】 "Authentication" refers to the process of verifying whether the data a system is trying to access is legitimate. 【0475】 "Communication technology" refers to the technology used to electronically transmit or receive information. 【0476】 "Notification" refers to the act of transmitting information to inform relevant parties about a particular event or matter. 【0477】 This invention is specifically configured as a system for automating meeting scheduling. First, the user uses a terminal to input information about the attendees participating in the meeting into the system. The terminal then sends the entered information to the server. The server retrieves the schedule data for each attendee based on the attendee information. In this process, the server securely retrieves the schedule data through an external information retrieval protocol such as the Google Calendar API using authentication means. 【0478】 The server analyzes the acquired schedule data and utilizes a scheduling algorithm to identify time slots that are commonly available to all attendees. Next, the server accesses the company's meeting location management system to obtain the availability of meeting locations. At this point, the server considers appropriate capacity and equipment requirements to select the most suitable meeting location. 【0479】 Once the candidate meeting time and location are determined, the server sends this information to the terminal and presents it to the user. The user can then select their preferred meeting time and location from the presented information. After the user completes their selection, the information is sent back to the server. The server then performs a final check of the selected meeting information and notifies all attendees of the confirmed meeting details through their electronic calendar applications. This formally sets the meeting, enabling quick and efficient meeting management for participants. 【0480】 As a concrete example, a user enters the attendees "A," "B," and "C" into the system. The server accesses each of their Google Calendars to check their availability. For example, it identifies that everyone is free on "May 10th, 10:00-11:00" and selects a meeting location that matches that time slot. Once the user confirms this time, a meeting detail notification is immediately reflected in the calendars of all attendees. 【0481】 An example of a prompt to the generating AI model might be, "Check the schedules of the next meeting attendees and suggest the best meeting time: Attendee A, Attendee B, Attendee C." This allows users to efficiently schedule meetings without complex procedures. 【0482】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0483】 Step 1: 【0484】 The user uses a terminal to enter meeting attendee information. This information includes the attendee's name and email address. The terminal receives this data as input and sends it to the server. Specifically, the user manually enters the attendee information into the terminal's interface and presses the send button. 【0485】 Step 2: 【0486】 The server retrieves the attendees' schedule data based on the received attendee information. At this stage, the server uses an external information retrieval protocol to collect schedule data from sources such as the Google Calendar API. It uses the attendees' email addresses as input and obtains each attendee's schedule data as output. Specifically, the server uses authentication methods to securely access each calendar API and retrieve the data. 【0487】 Step 3: 【0488】 The server analyzes the acquired schedule data to identify time slots that are common to all attendees. In this step, the server uses a schedule management algorithm to perform data calculations and identify available time slots. It uses each attendee's schedule data as input and extracts common available time slots as output. Specifically, it compares this data with each attendee's schedule stored in the database and lists the common available time slots. 【0489】 Step 4: 【0490】 The server retrieves the availability of meeting locations based on shared free time and selects the optimal meeting location. The server accesses the meeting location management system, using shared free time as input and obtaining optimal meeting location information as output. Specific operations include checking real-time availability using the meeting location management API. 【0491】 Step 5: 【0492】 The server sends the confirmed meeting time and location to the terminal and presents it to the user. As input, it outputs information on candidate meeting times and locations, presenting the user with options. Specifically, the server displays the meeting selection results it has generated on the user interface. 【0493】 Step 6: 【0494】 The user selects their preferred meeting time and location from the presented options and sends this selection data to the server via their device. The device records the selected meeting information as input and sends the data to the server as output. Specifically, the user clicks on the desired meeting option on the screen and presses the confirm button. 【0495】 Step 7: 【0496】 The server sends notifications to the electronic calendar applications of all attendees based on the meeting information selected by the user. The final selected meeting information is used as input, and the meeting is added to the attendees' calendars as output. Specifically, the process involves the server automatically sending meeting invitations to each attendee's calendar API. 【0497】 (Application Example 1) 【0498】 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." 【0499】 Setting up meetings involving stakeholders from different industries presents significant challenges, including the time and effort required for managing individual schedules and booking meeting rooms. Furthermore, real-time notifications to all participants are difficult. This can lead to delays in meeting start times and reduced efficiency in meeting room utilization. 【0500】 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. 【0501】 In this invention, the server includes means for obtaining meeting participant information from users, means for automatically obtaining participant schedule information, and means for identifying common free time slots for participants based on the obtained schedule information. This enables the efficient integration and management of schedule information from multiple stakeholders in different industries, allowing for quick and accurate meeting scheduling. 【0502】 "User" refers to a person who uses the system to set up a meeting. 【0503】 "Participant information" refers to data such as the names and contact information of the people who will be attending the meeting. 【0504】 "Schedule information" refers to the detailed schedule information saved in the participants' calendars. 【0505】 "Shared free time" refers to a period of time when all participants have no prior commitments. 【0506】 "Meeting room availability" refers to information indicating the times when a meeting room is not in use and the physical condition of the meeting room. 【0507】 An "external information acquisition protocol" is a technical specification for acquiring external data via the internet or a network. 【0508】 A "schedule management application" is software used to manage a user's schedule and tasks, thereby improving time efficiency. 【0509】 "Multiple stakeholders from different industries" refers to various people belonging to different fields or industries. 【0510】 "Electronic devices" refers to digital devices such as computers and smartphones. 【0511】 To implement this invention, a server for automating meeting scheduling, a terminal for receiving user information, and a system for sending notifications to participants are required. The server obtains meeting participant information from users through a program. It also accesses participants' schedule management applications using an API to obtain their schedule information. This allows the server to identify common free time slots. 【0512】 The server then accesses the meeting room management system to retrieve available meeting rooms. After the most suitable meeting room is selected, the server presents the user with suggested meeting times and meeting room information via the terminal. The meeting information selected by the user is then reviewed again by the server and notified to all participants via electronic devices. 【0513】 To support this embodiment, the server and terminals incorporate communication protocols such as the Google Calendar API, Figma, and Slack. This enables stakeholders from different industries to share information in real time and efficiently schedule meetings. 【0514】 A concrete example would be a meeting on improving energy efficiency held within a smart city. This meeting would involve representatives from different organizations, such as energy companies, urban planners, and transportation managers. The system would automatically coordinate the schedules of these participants and set the optimal meeting time and location. In an approach using a generative AI model, a possible prompt might be: "Please describe the details of an automated scheduling application for multi-agency meetings in a smart city environment. Include specific scheduling methods, from synchronizing participants' calendars to optimizing meeting room reservations and notification processes." 【0515】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0516】 Step 1: 【0517】 The terminal receives meeting participant information from the user. The input includes the names and contact information of the participants specified by the user, and this information is sent to the server as output. The server stores this information in its database and prepares it for the next processing step. 【0518】 Step 2: 【0519】 The server accesses each participant's schedule management application via API and automatically retrieves their schedule information. Participant information is used as input, and the output is the schedule data for each participant. The server collects this data and generates a dataset for analysis. 【0520】 Step 3: 【0521】 Based on the schedule data acquired by the server, the system identifies time slots that are common to all participants. Data processing involves detecting overlapping time slots and searching for unique, shared free time slots. The output is a list of these common free time slots. 【0522】 Step 4: 【0523】 The server accesses the meeting room management system and searches for available meeting rooms. The input is the common availability time, and meeting room reservation status data is output. Based on this information, the server selects a meeting room with the appropriate size and facilities. 【0524】 Step 5: 【0525】 The server presents the selected meeting time and room information to the user via the terminal. As part of the data processing, the candidate times and room information are compiled, and the output is an information panel displayed to the user. The user then selects the optimal meeting time and room based on this information. 【0526】 Step 6: 【0527】 Based on the user's selection, the server verifies the final meeting information and notifies all participants via electronic devices. The input includes the user's chosen meeting details, and the output is a meeting notification reflected in all participants' scheduling applications. The server monitors the notification delivery to ensure everyone receives the information. 【0528】 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. 【0529】 The meeting scheduling automation system incorporating the emotion engine of the present invention automatically sets meeting schedules while taking into account the user's emotional state. The system mainly consists of three main functions: emotion recognition, schedule analysis, and automated meeting scheduling. 【0530】 When a user enters meeting participant information through their terminal, the server activates an emotion engine to identify emotional data from the user's input actions and voice. The emotion engine estimates emotions such as stress, anxiety, or relaxation based on factors like keyboard keystroke intensity and speed, selected words, and even voice tone. This identified emotional data is then used in the server's process of selecting potential meeting times. 【0531】 The server then automatically retrieves participants' schedules using an external calendar service API and identifies common free time slots. Furthermore, it accesses the meeting room management system to check meeting room availability. Based on this information, the server selects potential meeting times and meeting rooms, but adjusts the selections considering sentiment data obtained from the sentiment engine. Specifically, if a user is experiencing stress, it might suggest a shorter meeting time or a quieter meeting room. 【0532】 Once potential meeting times are determined, the server presents this information to the user's device. The user then selects their preferred meeting time and room, and the server completes the meeting setup by sending notifications to all participants' calendar applications. The server can also adjust the message content of these notifications based on sentiment data to ensure user consideration. 【0533】 As a concrete example, if a user inputs "A," "B," and "C" as meeting participants into the system, and the emotion engine detects the user's stress level at that time, the server will suggest more quiet and less stressful time slots, such as the morning of the following week, to alleviate the stress. In this way, the present invention dynamically considers the user's emotions, enabling flexible adjustments to participant schedule confirmation and meeting room selection, thereby achieving efficient and comfortable meeting scheduling. 【0534】 The following describes the processing flow. 【0535】 Step 1: 【0536】 The user enters the meeting participant information into the device. The device then sends the entered information to the emotion engine, preparing to analyze the user's emotional state. 【0537】 Step 2: 【0538】 The emotion engine evaluates the user's emotional state based on input actions and voice data received from the device. It analyzes keystroke intensity, input speed, voice tone, etc., to identify emotions such as stress and relaxation. 【0539】 Step 3: 【0540】 The server receives participant information and retrieves each participant's schedule via an external calendar API. After an authentication process, it scans each calendar and collects the participants' available time slots. 【0541】 Step 4: 【0542】 The server analyzes the schedule information it has acquired to identify time slots that are open to all participants. Sentiment data is then used to adjust the priority of those specific time slots. 【0543】 Step 5: 【0544】 The server accesses the meeting room management system to retrieve information on available meeting rooms. Based on the evaluation results of the emotion engine, it selects the meeting room best suited to the user's state (for example, a quiet meeting room if a quiet environment is needed). 【0545】 Step 6: 【0546】 The server presents the user with suggested meeting times and meeting room information. The suggestions include emotionally sensitive options. 【0547】 Step 7: 【0548】 The user selects their preferred meeting time and room from the presented options. The selected information is then sent back to the server. 【0549】 Step 8: 【0550】 The server performs a final check of the selected meeting information and sends meeting notifications to all participants via their calendars. The notification content also includes messages tailored to the user's feelings. 【0551】 Step 9: 【0552】 The server checks after sending the notification to ensure there are no errors or omissions. It provides feedback to the user as needed. 【0553】 (Example 2) 【0554】 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." 【0555】 While conventional meeting scheduling systems could automate participant scheduling and meeting room reservations, they lacked the flexibility to accommodate participants' emotional states. In particular, emotional factors such as stress and anxiety significantly impact meeting effectiveness and participant satisfaction, highlighting the need for systems that take these factors into account. 【0556】 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. 【0557】 In this invention, the server includes means for acquiring information about the target person from the user, means for identifying the user's emotional state, and means for automatically acquiring the target person's schedule information. This makes it possible to set up meetings efficiently and comfortably while taking the user's emotions into consideration. 【0558】 A "user" is an individual or group that uses the system to set up a meeting. 【0559】 "Participant information" refers to information about individuals or organizations that are scheduled to attend the meeting, including data such as names and job titles. 【0560】 "Emotional state" refers to information that indicates the user's psychological and emotional state, such as stress levels or relaxation levels. 【0561】 "Schedule information" refers to information about the subject's free time and already scheduled appointments. 【0562】 "Free time" refers to the time slots that are available to all participants in the meeting. 【0563】 A "meeting facility" is a physical or virtual location where a meeting takes place, including conference rooms and online meeting platforms. 【0564】 "Means" refer to the functions and methods that a system employs to achieve its defined objectives. 【0565】 This invention relates to an automated meeting scheduling system that incorporates an emotion engine, primarily for automatically scheduling meetings while considering the user's emotional state. The system is mainly implemented using a server, terminals, and emotion recognition software. 【0566】 First, users enter participant information using their devices. Hardware such as keyboards and voice input devices are used for this input. The data entered by the user is sent to a server, where the emotion engine is activated. The emotion engine identifies emotional data from the entered text and voice. Specifically, the user's stress level and relaxation level are estimated from factors such as keyboard keystroke intensity and input speed, selected words, and even voice tone. 【0567】 Next, the server uses an external calendar service API to retrieve participants' schedule information. In this process, the server identifies the availability of all participants and selects candidate times for the meeting. Furthermore, the server accesses the meeting room management system to check the availability of meeting rooms and select the most suitable meeting room. 【0568】 Based on the identified emotional data, the server adjusts and presents potential meeting times and meeting rooms to the user. For example, if the server determines that the user is experiencing high stress levels, it will suggest a more relaxing time and environment. 【0569】 Once the user selects the optimal meeting time and room, the server notifies all participants of the meeting details. This notification is delivered via an electronic calendar application, and the message content is tailored based on sentiment data. 【0570】 For example, if a user enters "A," "B," and "C" as meeting participants, and the emotion engine detects a stressed state, the server will select a quiet and comfortable time slot, such as the morning of the following week. Through this process, the system achieves efficient and comfortable meeting scheduling that takes the user's emotions into consideration. 【0571】 An example of a prompt to input into a generative AI model is: "I have entered 'A', 'B', and 'C' as meeting participant information. Please suggest the optimal meeting time for someone who is feeling stressed." 【0572】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0573】 Step 1: 【0574】 Users enter participant information using a terminal. This input is done using a keyboard and microphone. The entered data includes the participant's name, job title, and the purpose of the meeting. The terminal prepares to send this data to the server. 【0575】 Step 2: 【0576】 The server activates the emotion engine based on the participant information it receives. The server analyzes the intensity and speed of keyboard input, as well as the tone and speed of voice input, to estimate the user's emotional state. As a result of this processing, data on emotional states such as stress and relaxation is generated. 【0577】 Step 3: 【0578】 The server calls an external calendar service API to automatically retrieve participants' schedule information. This information includes participants' existing appointments and free time. The server analyzes this data to identify common free time slots for all participants. The output is a list of potential free time slots. 【0579】 Step 4: 【0580】 The server accesses the meeting room management system to retrieve the availability of meeting facilities. The server then lists available meeting rooms and compares them with potential available times. As a result, the optimal meeting time and meeting room are selected. 【0581】 Step 5: 【0582】 The server considers emotional state data obtained from the emotion engine and adjusts the suggested meeting times and meeting room information accordingly. For example, if the user is experiencing high stress levels, the server prioritizes suggesting quieter meeting rooms and shorter meeting times. The adjusted list of options is then output to the user. 【0583】 Step 6: 【0584】 The user selects the most suitable meeting time and room from the options presented on the device. The device then sends this selection information to the server. 【0585】 Step 7: 【0586】 The server then notifies all participants of the selected meeting time and room information. This notification is sent via an electronic calendar application, and a message based on sentiment data is sent to inform all participants that the meeting setup is complete. 【0587】 (Application Example 2) 【0588】 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." 【0589】 Conventional automated meeting scheduling systems failed to consider the emotional state of participants when coordinating schedules or selecting meeting spaces, resulting in difficulties in efficiently and comfortably scheduling meetings. Furthermore, flexible responses based on emotions were also required when adjusting security warnings. 【0590】 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. 【0591】 In this invention, the server includes means for recognizing the user's emotional state and adjusting the security warning level based on the obtained emotional data, means for automatically acquiring participant schedule information, and means for acquiring the availability of meeting spaces and selecting the optimal meeting space. This enables flexible and efficient meeting setup and security warning adjustment that takes the user's emotions into consideration. 【0592】 A "user" is an individual or legal entity that uses the system. 【0593】 "Participant information" refers to the information of individual people who are scheduled to attend a meeting or event. 【0594】 "Schedule information" refers to information about appointments and times that participants have already registered in their schedules. 【0595】 "Shared free time" refers to a time slot that is convenient for multiple participants at the same time. 【0596】 A "meeting space" is a physical or virtual location that can be used for meetings or gatherings. 【0597】 "Emotional state" refers to the mental state that indicates emotions, such as the user's stress level or degree of relaxation. 【0598】 "Emotional data" refers to information about the emotional state of users that has been collected. 【0599】 "Security alert level" refers to the degree to which the system adjusts its security alerts based on sentiment data. 【0600】 "External information acquisition procedures" refer to the procedures for obtaining information from external services or databases. 【0601】 An "electronic schedule management application" is a schedule management tool used on a digital device. 【0602】 The system implementing this invention primarily recognizes the user's emotional state in real time and adjusts meeting settings and security alerts accordingly. The server receives meeting participant information from the user and automatically retrieves participant schedule information using an external calendar service API. This allows the system to identify common free time slots among participants and check the availability of meeting spaces. 【0603】 Next, the server activates the emotion engine and identifies emotion data from the user's voice and typing patterns. This emotion data is analyzed using machine learning models such as TensorFlow to determine the user's emotional state (stress, relaxation, etc.). Based on these results, the security alert level is dynamically adjusted, and recommended actions are notified to the user as needed. 【0604】 For example, if the server detects that a user is stressed, it will schedule meetings for quieter morning hours to help them maintain a relaxed state. Additionally, if the emotion engine detects tension when accessing sensitive data, it will enhance warning messages to ensure security. 【0605】 An example of a prompt might be: "How should security warnings be adjusted based on the user's current emotional state? Please categorize the emotional data into three types: (1) stress, (2) relaxation, and (3) tension." In this way, the server provides an efficient and secure experience through user emotion-based interaction. 【0606】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0607】 Step 1: 【0608】 The server receives meeting participant information from the terminal. This includes participants' names and contact information. Based on this information, the server prepares to retrieve schedule information in the next step. 【0609】 Step 2: 【0610】 The server automatically retrieves participant schedule information by calling an external calendar service API. Using participant information as input, it obtains schedule data for each participant. As output, it generates a list of all participants' schedules, preparing foundational data for identifying common free time slots. 【0611】 Step 3: 【0612】 The server runs an algorithm to identify common free time slots. It uses the schedule information of all participants as input and extracts time slots that are available to all participants based on that information. The output is a list of potential common free time slots. 【0613】 Step 4: 【0614】 The server connects to the meeting space management system to retrieve space availability. It takes common available time slots and requirements as input and selects the most suitable meeting space. The output lists the best available meeting spaces. 【0615】 Step 5: 【0616】 The server activates an emotion engine and collects the user's voice input and typing patterns. This data is then analyzed by an AI model (TensorFlow) to generate emotion data and estimate the user's emotional state (stress, relaxation, etc.). Real-time emotion data is obtained as output. 【0617】 Step 6: 【0618】 The server adjusts meeting time and space suggestions based on emotional data. Using emotional data, common available time slots, and potential meeting spaces as input, it selects the schedule and space best suited to the user's emotional state. The output is a refined list of meeting options. 【0619】 Step 7: 【0620】 The server presents the coordinated meeting options to the terminal, allowing the user to review and select one. This enables the user to choose the most suitable meeting time and space according to their own preferences. The server then prepares the information for the meeting selected by the user as output. 【0621】 Step 8: 【0622】 The server notifies all participants of the finalized meeting information. Using the finalized meeting time and location as input, it automatically registers the meeting in each participant's calendar via an electronic scheduling application. The output completes the sharing of the meeting information. 【0623】 This enables flexible meeting scheduling tailored to users' emotions, allowing for efficient and secure business operations. 【0624】 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. 【0625】 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. 【0626】 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. 【0627】 [Fourth Embodiment] 【0628】 Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment. 【0629】 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. 【0630】 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). 【0631】 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. 【0632】 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. 【0633】 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). 【0634】 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. 【0635】 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. 【0636】 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. 【0637】 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. 【0638】 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. 【0639】 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. 【0640】 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". 【0641】 The automated meeting scheduling system of the present invention starts operating when a user inputs meeting participant information. When participant information is sent from the terminal, the server first accesses the participant's calendar information and retrieves their respective schedule information. At this time, the server performs authentication and accesses the participant's calendar via an API. 【0642】 The server analyzes the acquired schedule information to identify time slots that are common to all participants. To find these common free times, the server utilizes databases and scheduling algorithms. 【0643】 Next, the server accesses the company-wide meeting room management system to retrieve the availability of meeting rooms. It then selects a meeting room that meets the appropriate capacity and required equipment requirements. 【0644】 Once potential meeting times and meeting rooms are identified, the server presents this information to the user via their terminal. From the presented options, the user selects their preferred meeting time and meeting room. 【0645】 The selected meeting information is finalized by the server, and the details of the confirmed meeting are prepared. The server then sends an electronic meeting notification to all participants' calendar applications. This officially sets up the meeting and immediately notifies participants. 【0646】 As a concrete example, if a user enters "A," "B," and "C" as participants into the system, the server accesses each person's Google Calendar to check their availability. It then identifies that everyone is free on, for example, "May 10th, 10:00-11:00," and selects an available meeting room for that time slot. Once the user confirms this time, a meeting detail notification is immediately reflected in all participants' calendars. 【0647】 Thus, the present invention automates the entire process from confirming participants' schedules to selecting meeting rooms and notifying them of the meeting setting, thereby enabling fast and efficient meeting scheduling. 【0648】 The following describes the processing flow. 【0649】 Step 1: 【0650】 The user enters the meeting participant information into their terminal. The entered information is sent to the system and stored in the database. 【0651】 Step 2: 【0652】 The server retrieves participant information from the database and performs the necessary authentication to access each participant's calendar. The server requests participant schedule information via an external calendar service API. 【0653】 Step 3: 【0654】 The server analyzes the schedule information of each participant and compares everyone's schedules to identify common free time slots. A schedule management algorithm is then used to detect the optimal time slot. 【0655】 Step 4: 【0656】 The server accesses the organization's meeting room management system to check meeting room availability. It then lists available meeting rooms based on the number of participants and required equipment. 【0657】 Step 5: 【0658】 The server combines the identified common free time and meeting room information to generate several meeting options. These options are then sent to the terminal and presented to the user. 【0659】 Step 6: 【0660】 The user selects their preferred time and meeting room from the presented meeting options. The selection information is then sent back to the server. 【0661】 Step 7: 【0662】 The server receives the user's selection and, based on that information, sends meeting notifications to all participants' calendars. It uses the calendar service API to create electronic meeting events in participants' calendars. 【0663】 Step 8: 【0664】 The server performs a final check to ensure that all steps were completed correctly. It monitors error checking and participant notifications, and notifies users if any problems arise. 【0665】 (Example 1) 【0666】 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". 【0667】 In today's business environment, scheduling meetings is a time-consuming and laborious task. Manually coordinating attendees' schedules and selecting the optimal meeting location is inefficient and prone to information inconsistencies. Therefore, there is a need to automate the meeting scheduling process to reduce the burden on users. 【0668】 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. 【0669】 In this invention, the server includes means for obtaining meeting attendee information from users, means for automatically obtaining attendee schedule data, and means for obtaining the availability of meeting locations and selecting the optimal meeting location. This automates meeting scheduling and enables quick and efficient meeting setup. 【0670】 A "user" refers to a person who inputs information to schedule a meeting and receives the results. 【0671】 "Attendee information" refers to data about the people participating in the meeting, including their names and email addresses. 【0672】 "Schedule data" refers to the individual schedule information of each attendee and is used to identify which time slots are available. 【0673】 "Free time" refers to the period of time that is available to all attendees for the meeting. 【0674】 "Meeting location" refers to the physical or virtual space necessary for conducting a meeting. 【0675】 "Availability" refers to information on whether a specific resource, specifically the meeting location, is available. 【0676】 "Selecting" refers to the process of determining the optimal option based on specific criteria. 【0677】 "Authentication" refers to the process of verifying whether the data a system is trying to access is legitimate. 【0678】 "Communication technology" refers to the technology used to electronically transmit or receive information. 【0679】 "Notification" refers to the act of transmitting information to inform relevant parties about a particular event or matter. 【0680】 This invention is specifically configured as a system for automating meeting scheduling. First, the user uses a terminal to input information about the attendees participating in the meeting into the system. The terminal then sends the entered information to the server. The server retrieves the schedule data for each attendee based on the attendee information. In this process, the server securely retrieves the schedule data through an external information retrieval protocol such as the Google Calendar API using authentication means. 【0681】 The server analyzes the acquired schedule data and utilizes a scheduling algorithm to identify time slots that are commonly available to all attendees. Next, the server accesses the company's meeting location management system to obtain the availability of meeting locations. At this point, the server considers appropriate capacity and equipment requirements to select the most suitable meeting location. 【0682】 Once the candidate meeting time and location are determined, the server sends this information to the terminal and presents it to the user. The user can then select their preferred meeting time and location from the presented information. After the user completes their selection, the information is sent back to the server. The server then performs a final check of the selected meeting information and notifies all attendees of the confirmed meeting details through their electronic calendar applications. This formally sets the meeting, enabling quick and efficient meeting management for participants. 【0683】 As a concrete example, a user enters the attendees "A," "B," and "C" into the system. The server accesses each of their Google Calendars to check their availability. For example, it identifies that everyone is free on "May 10th, 10:00-11:00" and selects a meeting location that matches that time slot. Once the user confirms this time, a meeting detail notification is immediately reflected in the calendars of all attendees. 【0684】 An example of a prompt to the generating AI model might be, "Check the schedules of the next meeting attendees and suggest the best meeting time: Attendee A, Attendee B, Attendee C." This allows users to efficiently schedule meetings without complex procedures. 【0685】 The flow of the specific processing in Example 1 will be explained using Figure 11. 【0686】 Step 1: 【0687】 The user uses a terminal to enter meeting attendee information. This information includes the attendee's name and email address. The terminal receives this data as input and sends it to the server. Specifically, the user manually enters the attendee information into the terminal's interface and presses the send button. 【0688】 Step 2: 【0689】 The server retrieves the attendees' schedule data based on the received attendee information. At this stage, the server uses an external information retrieval protocol to collect schedule data from sources such as the Google Calendar API. It uses the attendees' email addresses as input and obtains each attendee's schedule data as output. Specifically, the server uses authentication methods to securely access each calendar API and retrieve the data. 【0690】 Step 3: 【0691】 The server analyzes the acquired schedule data to identify time slots that are common to all attendees. In this step, the server uses a schedule management algorithm to perform data calculations and identify available time slots. It uses each attendee's schedule data as input and extracts common available time slots as output. Specifically, it compares this data with each attendee's schedule stored in the database and lists the common available time slots. 【0692】 Step 4: 【0693】 The server retrieves the availability of meeting locations based on shared free time and selects the optimal meeting location. The server accesses the meeting location management system, using shared free time as input and obtaining optimal meeting location information as output. Specific operations include checking real-time availability using the meeting location management API. 【0694】 Step 5: 【0695】 The server sends the confirmed meeting time and location to the terminal and presents it to the user. As input, it outputs information on candidate meeting times and locations, presenting the user with options. Specifically, the server displays the meeting selection results it has generated on the user interface. 【0696】 Step 6: 【0697】 The user selects their preferred meeting time and location from the presented options and sends this selection data to the server via their device. The device records the selected meeting information as input and sends the data to the server as output. Specifically, the user clicks on the desired meeting option on the screen and presses the confirm button. 【0698】 Step 7: 【0699】 The server sends notifications to the electronic calendar applications of all attendees based on the meeting information selected by the user. The final selected meeting information is used as input, and the meeting is added to the attendees' calendars as output. Specifically, the process involves the server automatically sending meeting invitations to each attendee's calendar API. 【0700】 (Application Example 1) 【0701】 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". 【0702】 Setting up meetings involving stakeholders from different industries presents significant challenges, including the time and effort required for managing individual schedules and booking meeting rooms. Furthermore, real-time notifications to all participants are difficult. This can lead to delays in meeting start times and reduced efficiency in meeting room utilization. 【0703】 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. 【0704】 In this invention, the server includes means for obtaining meeting participant information from users, means for automatically obtaining participant schedule information, and means for identifying common free time slots for participants based on the obtained schedule information. This enables the efficient integration and management of schedule information from multiple stakeholders in different industries, allowing for quick and accurate meeting scheduling. 【0705】 "User" refers to a person who uses the system to set up a meeting. 【0706】 "Participant information" refers to data such as the names and contact information of the people who will be attending the meeting. 【0707】 "Schedule information" refers to the detailed schedule information saved in the participants' calendars. 【0708】 "Shared free time" refers to a period of time when all participants have no prior commitments. 【0709】 "Meeting room availability" refers to information indicating the times when a meeting room is not in use and the physical condition of the meeting room. 【0710】 An "external information acquisition protocol" is a technical specification for acquiring external data via the internet or a network. 【0711】 A "schedule management application" is software used to manage a user's schedule and tasks, thereby improving time efficiency. 【0712】 "Multiple stakeholders from different industries" refers to various people belonging to different fields or industries. 【0713】 "Electronic devices" refers to digital devices such as computers and smartphones. 【0714】 To implement this invention, a server for automating meeting scheduling, a terminal for receiving user information, and a system for sending notifications to participants are required. The server obtains meeting participant information from users through a program. It also accesses participants' schedule management applications using an API to obtain their schedule information. This allows the server to identify common free time slots. 【0715】 The server then accesses the meeting room management system to retrieve available meeting rooms. After the most suitable meeting room is selected, the server presents the user with suggested meeting times and meeting room information via the terminal. The meeting information selected by the user is then reviewed again by the server and notified to all participants via electronic devices. 【0716】 To support this embodiment, the server and terminals incorporate communication protocols such as the Google Calendar API, Figma, and Slack. This enables stakeholders from different industries to share information in real time and efficiently schedule meetings. 【0717】 A concrete example would be a meeting on improving energy efficiency held within a smart city. This meeting would involve representatives from different organizations, such as energy companies, urban planners, and transportation managers. The system would automatically coordinate the schedules of these participants and set the optimal meeting time and location. In an approach using a generative AI model, a possible prompt might be: "Please describe the details of an automated scheduling application for multi-agency meetings in a smart city environment. Include specific scheduling methods, from synchronizing participants' calendars to optimizing meeting room reservations and notification processes." 【0718】 The flow of a specific process in Application Example 1 will be explained using Figure 12. 【0719】 Step 1: 【0720】 The terminal receives meeting participant information from the user. The input includes the names and contact information of the participants specified by the user, and this information is sent to the server as output. The server stores this information in its database and prepares it for the next processing step. 【0721】 Step 2: 【0722】 The server accesses each participant's schedule management application via API and automatically retrieves their schedule information. Participant information is used as input, and the output is the schedule data for each participant. The server collects this data and generates a dataset for analysis. 【0723】 Step 3: 【0724】 Based on the schedule data acquired by the server, the system identifies time slots that are common to all participants. Data processing involves detecting overlapping time slots and searching for unique, shared free time slots. The output is a list of these common free time slots. 【0725】 Step 4: 【0726】 The server accesses the meeting room management system and searches for available meeting rooms. The input is the common availability time, and meeting room reservation status data is output. Based on this information, the server selects a meeting room with the appropriate size and facilities. 【0727】 Step 5: 【0728】 The server presents the selected meeting time and room information to the user via the terminal. As part of the data processing, the candidate times and room information are compiled, and the output is an information panel displayed to the user. The user then selects the optimal meeting time and room based on this information. 【0729】 Step 6: 【0730】 Based on the user's selection, the server verifies the final meeting information and notifies all participants via electronic devices. The input includes the user's chosen meeting details, and the output is a meeting notification reflected in all participants' scheduling applications. The server monitors the notification delivery to ensure everyone receives the information. 【0731】 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. 【0732】 The meeting scheduling automation system incorporating the emotion engine of the present invention automatically sets meeting schedules while taking into account the user's emotional state. The system mainly consists of three main functions: emotion recognition, schedule analysis, and automated meeting scheduling. 【0733】 When a user enters meeting participant information through their terminal, the server activates an emotion engine to identify emotional data from the user's input actions and voice. The emotion engine estimates emotions such as stress, anxiety, or relaxation based on factors like keyboard keystroke intensity and speed, selected words, and even voice tone. This identified emotional data is then used in the server's process of selecting potential meeting times. 【0734】 The server then automatically retrieves participants' schedules using an external calendar service API and identifies common free time slots. Furthermore, it accesses the meeting room management system to check meeting room availability. Based on this information, the server selects potential meeting times and meeting rooms, but adjusts the selections considering sentiment data obtained from the sentiment engine. Specifically, if a user is experiencing stress, it might suggest a shorter meeting time or a quieter meeting room. 【0735】 Once potential meeting times are determined, the server presents this information to the user's device. The user then selects their preferred meeting time and room, and the server completes the meeting setup by sending notifications to all participants' calendar applications. The server can also adjust the message content of these notifications based on sentiment data to ensure user consideration. 【0736】 As a concrete example, if a user inputs "A," "B," and "C" as meeting participants into the system, and the emotion engine detects the user's stress level at that time, the server will suggest more quiet and less stressful time slots, such as the morning of the following week, to alleviate the stress. In this way, the present invention dynamically considers the user's emotions, enabling flexible adjustments to participant schedule confirmation and meeting room selection, thereby achieving efficient and comfortable meeting scheduling. 【0737】 The following describes the processing flow. 【0738】 Step 1: 【0739】 The user enters the meeting participant information into the device. The device then sends the entered information to the emotion engine, preparing to analyze the user's emotional state. 【0740】 Step 2: 【0741】 The emotion engine evaluates the user's emotional state based on input actions and voice data received from the device. It analyzes keystroke intensity, input speed, voice tone, etc., to identify emotions such as stress and relaxation. 【0742】 Step 3: 【0743】 The server receives participant information and retrieves each participant's schedule via an external calendar API. After an authentication process, it scans each calendar and collects the participants' available time slots. 【0744】 Step 4: 【0745】 The server analyzes the schedule information it has acquired to identify time slots that are open to all participants. Sentiment data is then used to adjust the priority of those specific time slots. 【0746】 Step 5: 【0747】 The server accesses the meeting room management system to retrieve information on available meeting rooms. Based on the evaluation results of the emotion engine, it selects the meeting room best suited to the user's state (for example, a quiet meeting room if a quiet environment is needed). 【0748】 Step 6: 【0749】 The server presents the user with suggested meeting times and meeting room information. The suggestions include emotionally sensitive options. 【0750】 Step 7: 【0751】 The user selects their preferred meeting time and room from the presented options. The selected information is then sent back to the server. 【0752】 Step 8: 【0753】 The server performs a final check of the selected meeting information and sends meeting notifications to all participants via their calendars. The notification content also includes messages tailored to the user's feelings. 【0754】 Step 9: 【0755】 The server checks after sending the notification to ensure there are no errors or omissions. It provides feedback to the user as needed. 【0756】 (Example 2) 【0757】 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". 【0758】 While conventional meeting scheduling systems could automate participant scheduling and meeting room reservations, they lacked the flexibility to accommodate participants' emotional states. In particular, emotional factors such as stress and anxiety significantly impact meeting effectiveness and participant satisfaction, highlighting the need for systems that take these factors into account. 【0759】 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. 【0760】 In this invention, the server includes means for acquiring information about the target person from the user, means for identifying the user's emotional state, and means for automatically acquiring the target person's schedule information. This makes it possible to set up meetings efficiently and comfortably while taking the user's emotions into consideration. 【0761】 A "user" is an individual or group that uses the system to set up a meeting. 【0762】 "Participant information" refers to information about individuals or organizations that are scheduled to attend the meeting, including data such as names and job titles. 【0763】 "Emotional state" refers to information that indicates the user's psychological and emotional state, such as stress levels or relaxation levels. 【0764】 "Schedule information" refers to information about the subject's free time and already scheduled appointments. 【0765】 "Free time" refers to the time slots that are available to all participants in the meeting. 【0766】 A "meeting facility" is a physical or virtual location where a meeting takes place, including conference rooms and online meeting platforms. 【0767】 "Means" refer to the functions and methods that a system employs to achieve its defined objectives. 【0768】 This invention relates to an automated meeting scheduling system that incorporates an emotion engine, primarily for automatically scheduling meetings while considering the user's emotional state. The system is mainly implemented using a server, terminals, and emotion recognition software. 【0769】 First, users enter participant information using their devices. Hardware such as keyboards and voice input devices are used for this input. The data entered by the user is sent to a server, where the emotion engine is activated. The emotion engine identifies emotional data from the entered text and voice. Specifically, the user's stress level and relaxation level are estimated from factors such as keyboard keystroke intensity and input speed, selected words, and even voice tone. 【0770】 Next, the server uses an external calendar service API to retrieve participants' schedule information. In this process, the server identifies the availability of all participants and selects candidate times for the meeting. Furthermore, the server accesses the meeting room management system to check the availability of meeting rooms and select the most suitable meeting room. 【0771】 Based on the identified emotional data, the server adjusts and presents potential meeting times and meeting rooms to the user. For example, if the server determines that the user is experiencing high stress levels, it will suggest a more relaxing time and environment. 【0772】 Once the user selects the optimal meeting time and room, the server notifies all participants of the meeting details. This notification is delivered via an electronic calendar application, and the message content is tailored based on sentiment data. 【0773】 For example, if a user enters "A," "B," and "C" as meeting participants, and the emotion engine detects a stressed state, the server will select a quiet and comfortable time slot, such as the morning of the following week. Through this process, the system achieves efficient and comfortable meeting scheduling that takes the user's emotions into consideration. 【0774】 An example of a prompt to input into a generative AI model is: "I have entered 'A', 'B', and 'C' as meeting participant information. Please suggest the optimal meeting time for someone who is feeling stressed." 【0775】 The flow of the specific processing in Example 2 will be explained using Figure 13. 【0776】 Step 1: 【0777】 Users enter participant information using a terminal. This input is done using a keyboard and microphone. The entered data includes the participant's name, job title, and the purpose of the meeting. The terminal prepares to send this data to the server. 【0778】 Step 2: 【0779】 The server activates the emotion engine based on the participant information it receives. The server analyzes the intensity and speed of keyboard input, as well as the tone and speed of voice input, to estimate the user's emotional state. As a result of this processing, data on emotional states such as stress and relaxation is generated. 【0780】 Step 3: 【0781】 The server calls an external calendar service API to automatically retrieve participants' schedule information. This information includes participants' existing appointments and free time. The server analyzes this data to identify common free time slots for all participants. The output is a list of potential free time slots. 【0782】 Step 4: 【0783】 The server accesses the meeting room management system to retrieve the availability of meeting facilities. The server then lists available meeting rooms and compares them with potential available times. As a result, the optimal meeting time and meeting room are selected. 【0784】 Step 5: 【0785】 The server considers emotional state data obtained from the emotion engine and adjusts the suggested meeting times and meeting room information accordingly. For example, if the user is experiencing high stress levels, the server prioritizes suggesting quieter meeting rooms and shorter meeting times. The adjusted list of options is then output to the user. 【0786】 Step 6: 【0787】 The user selects the most suitable meeting time and room from the options presented on the device. The device then sends this selection information to the server. 【0788】 Step 7: 【0789】 The server then notifies all participants of the selected meeting time and room information. This notification is sent via an electronic calendar application, and a message based on sentiment data is sent to inform all participants that the meeting setup is complete. 【0790】 (Application Example 2) 【0791】 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". 【0792】 Conventional automated meeting scheduling systems failed to consider the emotional state of participants when coordinating schedules or selecting meeting spaces, resulting in difficulties in efficiently and comfortably scheduling meetings. Furthermore, flexible responses based on emotions were also required when adjusting security warnings. 【0793】 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. 【0794】 In this invention, the server includes means for recognizing the user's emotional state and adjusting the security warning level based on the obtained emotional data, means for automatically acquiring participant schedule information, and means for acquiring the availability of meeting spaces and selecting the optimal meeting space. This enables flexible and efficient meeting setup and security warning adjustment that takes the user's emotions into consideration. 【0795】 A "user" is an individual or legal entity that uses the system. 【0796】 "Participant information" refers to the information of individual people who are scheduled to attend a meeting or event. 【0797】 "Schedule information" refers to information about appointments and times that participants have already registered in their schedules. 【0798】 "Shared free time" refers to a time slot that is convenient for multiple participants at the same time. 【0799】 A "meeting space" is a physical or virtual location that can be used for meetings or gatherings. 【0800】 "Emotional state" refers to the mental state that indicates emotions, such as the user's stress level or degree of relaxation. 【0801】 "Emotional data" refers to information about the emotional state of users that has been collected. 【0802】 "Security alert level" refers to the degree to which the system adjusts its security alerts based on sentiment data. 【0803】 "External information acquisition procedures" refer to the procedures for obtaining information from external services or databases. 【0804】 An "electronic schedule management application" is a schedule management tool used on a digital device. 【0805】 The system implementing this invention primarily recognizes the user's emotional state in real time and adjusts meeting settings and security alerts accordingly. The server receives meeting participant information from the user and automatically retrieves participant schedule information using an external calendar service API. This allows the system to identify common free time slots among participants and check the availability of meeting spaces. 【0806】 Next, the server activates the emotion engine and identifies emotion data from the user's voice and typing patterns. This emotion data is analyzed using machine learning models such as TensorFlow to determine the user's emotional state (stress, relaxation, etc.). Based on these results, the security alert level is dynamically adjusted, and recommended actions are notified to the user as needed. 【0807】 For example, if the server detects that a user is stressed, it will schedule meetings for quieter morning hours to help them maintain a relaxed state. Additionally, if the emotion engine detects tension when accessing sensitive data, it will enhance warning messages to ensure security. 【0808】 An example of a prompt might be: "How should security warnings be adjusted based on the user's current emotional state? Please categorize the emotional data into three types: (1) stress, (2) relaxation, and (3) tension." In this way, the server provides an efficient and secure experience through user emotion-based interaction. 【0809】 The flow of a specific process in Application Example 2 will be explained using Figure 14. 【0810】 Step 1: 【0811】 The server receives meeting participant information from the terminal. This includes participants' names and contact information. Based on this information, the server prepares to retrieve schedule information in the next step. 【0812】 Step 2: 【0813】 The server automatically retrieves participant schedule information by calling an external calendar service API. Using participant information as input, it obtains schedule data for each participant. As output, it generates a list of all participants' schedules, preparing foundational data for identifying common free time slots. 【0814】 Step 3: 【0815】 The server runs an algorithm to identify common free time slots. It uses the schedule information of all participants as input and extracts time slots that are available to all participants based on that information. The output is a list of potential common free time slots. 【0816】 Step 4: 【0817】 The server connects to the meeting space management system to retrieve space availability. It takes common available time slots and requirements as input and selects the most suitable meeting space. The output lists the best available meeting spaces. 【0818】 Step 5: 【0819】 The server activates an emotion engine and collects the user's voice input and typing patterns. This data is then analyzed by an AI model (TensorFlow) to generate emotion data and estimate the user's emotional state (stress, relaxation, etc.). Real-time emotion data is obtained as output. 【0820】 Step 6: 【0821】 The server adjusts meeting time and space suggestions based on emotional data. Using emotional data, common available time slots, and potential meeting spaces as input, it selects the schedule and space best suited to the user's emotional state. The output is a refined list of meeting options. 【0822】 Step 7: 【0823】 The server presents the coordinated meeting options to the terminal, allowing the user to review and select one. This enables the user to choose the most suitable meeting time and space according to their own preferences. The server then prepares the information for the meeting selected by the user as output. 【0824】 Step 8: 【0825】 The server notifies all participants of the finalized meeting information. Using the finalized meeting time and location as input, it automatically registers the meeting in each participant's calendar via an electronic scheduling application. The output completes the sharing of the meeting information. 【0826】 This enables flexible meeting scheduling tailored to users' emotions, allowing for efficient and secure business operations. 【0827】 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. 【0828】 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. 【0829】 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. 【0830】 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. 【0831】 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. 【0832】 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. 【0833】 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. 【0834】 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. 【0835】 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." 【0836】 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. 【0837】 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. 【0838】 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. 【0839】 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. 【0840】 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. 【0841】 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. 【0842】 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. 【0843】 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. 【0844】 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. 【0845】 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. 【0846】 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. 【0847】 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. 【0848】 The following is further disclosed regarding the embodiments described above. 【0849】 (Claim 1) 【0850】 A means of obtaining meeting participant information from users, 【0851】 A means for automatically obtaining the schedule information of the aforementioned participants, 【0852】 A means of identifying common free time slots among participants based on acquired schedule information, 【0853】 A method for obtaining the availability status of meeting rooms and selecting the most suitable meeting room, 【0854】 A means of presenting users with candidate meeting times and meeting room information, 【0855】 A means of notifying all participants of the meeting information selected by the user from the presented information, 【0856】 A meeting scheduling automation system that includes this. 【0857】 (Claim 2) 【0858】 The system according to claim 1, wherein an external information acquisition protocol is used to acquire the aforementioned schedule information and the availability status of meeting rooms. 【0859】 (Claim 3) 【0860】 The system according to claim 1, wherein notifications to the aforementioned participants are made via an electronic calendar application. 【0861】 "Example 1" 【0862】 (Claim 1) 【0863】 A means of obtaining meeting attendee information from users, 【0864】 A means for automatically acquiring the attendance data of the aforementioned attendees, 【0865】 A means of identifying common free time slots among attendees based on acquired schedule data, 【0866】 A means of obtaining the availability status of meeting venues and selecting the most suitable meeting venue, 【0867】 A means of presenting users with information on potential meeting times and locations, 【0868】 A means of notifying all attendees of the meeting information selected by the user from the presented information, 【0869】 A means of authentication to obtain attendee schedule data, 【0870】 A means of transmitting meeting details via communication technology through electronic data processing, 【0871】 A system that includes this. 【0872】 (Claim 2) 【0873】 The system according to claim 1, wherein an external information acquisition protocol is used to acquire the aforementioned schedule data and the availability status of the meeting place. 【0874】 (Claim 3) 【0875】 The system according to claim 1, wherein the notification to the attendees is made through an electronic calendar application. 【0876】 "Application Example 1" 【0877】 (Claim 1) 【0878】 A means of obtaining meeting participant information from users, 【0879】 A means for automatically obtaining the schedule information of the aforementioned participants, 【0880】 A means of identifying common free time slots among participants based on acquired schedule information, 【0881】 A method for obtaining the availability status of meeting rooms and selecting the most suitable meeting room, 【0882】 A means of notifying all participants of the meeting information selected by the user from the presented information, 【0883】 A means to integrate and manage schedule information of multiple stakeholders from different industries and provide efficient meeting scheduling within the system, 【0884】 A means of providing real-time notifications using electronic devices, 【0885】 A system that includes this. 【0886】 (Claim 2) 【0887】 The system according to claim 1, wherein an external information acquisition protocol is used to acquire the aforementioned schedule information and the availability status of meeting rooms. 【0888】 (Claim 3) 【0889】 The system according to claim 1, wherein notifications to the aforementioned participants are made through an electronic schedule management application. 【0890】 "Example 2 of combining an emotion engine" 【0891】 (Claim 1) 【0892】 Means of obtaining target information from users, 【0893】 A means of identifying the emotional state of the user, 【0894】 A means for automatically acquiring the schedule information of the aforementioned subject, 【0895】 A means of identifying common free time slots for the target individuals based on acquired schedule information, 【0896】 A means of obtaining the availability status of meeting facilities and selecting the most suitable meeting facility, 【0897】 A means for adjusting and presenting candidate meeting times and meeting facility information to the user based on identified emotional states, 【0898】 A means of notifying all participants of the meeting information selected by the user from the presented information, 【0899】 A system that includes this. 【0900】 (Claim 2) 【0901】 The system according to claim 1, wherein external information acquisition means are used to acquire the aforementioned schedule information and the availability status of meeting facilities. 【0902】 (Claim 3) 【0903】 The system according to claim 1, wherein notification to the aforementioned persons is made via an electronic recording medium. 【0904】 "Application example 2 of combining emotional engines" 【0905】 (Claim 1) 【0906】 Means of obtaining participant information from users, 【0907】 A means for automatically obtaining the schedule information of the aforementioned participants, 【0908】 A means of identifying common free time slots among participants based on acquired schedule information, 【0909】 A means of obtaining the availability status of meeting spaces and selecting the most suitable meeting space, 【0910】 A means of presenting users with information on potential meeting times and meeting spaces, 【0911】 A means of notifying all participants of the meeting information selected by the user from the presented information, 【0912】 A means for recognizing the user's emotional state and adjusting the security alert level based on the obtained emotional data, 【0913】 A system that includes this. 【0914】 (Claim 2) 【0915】 The system according to claim 1, wherein an external information acquisition procedure is used in acquiring the aforementioned schedule information and the availability status of the meeting space. 【0916】 (Claim 3) 【0917】 The system according to claim 1, wherein notifications to the aforementioned participants are made through an electronic schedule management application. [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

[Claim 1] A means of obtaining meeting participant information from users, A means for automatically obtaining the schedule information of the aforementioned participants, A means of identifying common free time slots among participants based on acquired schedule information, A method for obtaining the availability status of meeting rooms and selecting the most suitable meeting room, A means of presenting users with candidate meeting times and meeting room information, A means of notifying all participants of the meeting information selected by the user from the presented information, A meeting scheduling automation system that includes this. [Claim 2] The system according to claim 1, wherein an external information acquisition protocol is used to acquire the aforementioned schedule information and the availability status of meeting rooms. [Claim 3] The system according to claim 1, wherein notifications to the aforementioned participants are made via an electronic calendar application.

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