system

Abstract

We provide the system. [Solution] A method for registering meeting reservation information in a database and checking the availability of the reservation, A means of guiding participants based on the meeting start time, A means of presenting agenda items and managing time during a meeting, A method for converting meeting audio data into text and generating meeting minutes, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In modern meetings, multiple tasks such as reservation management of meeting rooms, guidance for participants, improvement of meeting progress efficiency, and creation of minutes occur. However, it takes time and effort for humans to manually manage these tasks, which is a factor reducing the efficiency of meetings. Furthermore, it is also a problem to accurately record important information during meetings and share it quickly. An efficient method for solving these problems is required.

Means for Solving the Problems

[0005] This invention solves the aforementioned problems by providing means for registering meeting reservation information in a database and confirming the availability of reservations, means for guiding participants based on the meeting start time, means for presenting the agenda and managing time during the meeting, and means for converting meeting audio data into text and generating meeting minutes. This enables automation and efficiency in all aspects of meetings, allowing participants to concentrate on the meeting content. Furthermore, it provides even greater convenience by including means for supporting the progress of the meeting based on participants' voice instructions and means for automatically sending meeting minutes after the meeting ends.

[0006] "Meeting reservation information" refers to information necessary for the smooth running of a meeting, such as the date and time of the meeting, the location, and the list of participants.

[0007] A "database" is a collection of electronically organized information, and refers to a system that allows for the rapid retrieval, acquisition, and management of that information.

[0008] "Guiding participants" refers to the act of leading people attending a meeting to the appropriate locations and providing them with the necessary information.

[0009] "Streamlining meeting management" refers to streamlining various procedures and processes during a meeting to ensure it proceeds smoothly and efficiently.

[0010] "Presenting the agenda" refers to clearly indicating and presenting to participants in advance the topics or items that need to be discussed or considered during the meeting.

[0011] "Time management" refers to the act of adjusting time to efficiently conduct a meeting within the allotted time.

[0012] "Converting audio data to text" refers to the process of automatically converting audio information into text information.

[0013] "Generating meeting minutes" refers to recording what was said and decided during a meeting and documenting it so that it can be reviewed later.

[0014] "Voice instruction" refers to an instruction for an operation or request issued by a user via voice.

[0015] "Automatic transmission" refers to a process in which a system transmits information by itself without human operation.

Brief Description of Drawings

[0016] [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which a plurality of emotions are mapped. [Figure 10] It shows an emotion map to which a plurality of emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when the emotion engine is combined. [Figure 14] It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when a sentiment engine is combined.

Embodiments for Carrying Out the Invention

[0017] 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.

[0018] First, the terms used in the following description will be explained.

[0019] In the following embodiments, a processor with a reference number (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0020] In the following embodiments, a RAM (Random Access Memory) with a reference number is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0021] In the following embodiments, a storage with a reference number is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0022] 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).

[0023] 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."

[0024] [First Embodiment]

[0025] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0026] 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.

[0027] 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).

[0028] 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.

[0029] 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.

[0030] 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.

[0031] 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.

[0032] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] 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.

[0034] 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.

[0035] 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.

[0036] 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".

[0037] This invention is an automated meeting support system designed to improve the efficiency of meetings. It primarily functions through the coordinated operation of three elements: a server, terminals, and users.

[0038] First, the user makes a meeting reservation using a dedicated application. Once the user enters the reservation information, it is sent to the server. The server receives this information, accesses the database, and checks the availability of the reservation. If the meeting room is available, the server records the reservation information in the database and sends a confirmation message to the user.

[0039] As the meeting approaches, the server automatically transfers meeting information to the terminal. The terminal is installed in the meeting room and prepares the room so that participants can start the meeting smoothly. Ten minutes before the meeting starts, the terminal provides participants with announcements via voice and display. For example, it can give specific instructions near the entrance, such as "Participants for the XX meeting, please proceed straight ahead."

[0040] During the meeting, the terminal displays the agenda on its screen based on agenda information stored in advance by the server, supporting the progress of the meeting. The server also collects audio data in real time and converts it to text using speech recognition technology. This allows the server to automatically generate meeting minutes from important information during the meeting.

[0041] Furthermore, if a user gives a voice command such as "move to the next agenda item," the device can recognize the voice command and perform the specified action. This makes it possible to switch agenda items and proceed more smoothly.

[0042] After the meeting ends, the server automatically sends the generated meeting minutes to the users. This allows participants to quickly review the meeting content and consider their next steps. For example, since the minutes are sent by email immediately after the meeting ends, participants can review the content even while traveling.

[0043] Thus, the system of the present invention efficiently manages everything from meeting scheduling and execution to follow-up, supporting participants in conducting more productive meetings.

[0044] The following describes the processing flow.

[0045] Step 1:

[0046] Users enter meeting reservation information using a dedicated application. They specify the date, time, location, number of participants, etc., and send the reservation request to the server.

[0047] Step 2:

[0048] Based on the reservation information received by the server, it checks the database to see if the desired meeting room is available. The server compares this information with existing reservation information and, if available, records the information in the database.

[0049] Step 3:

[0050] The server notifies the user of the booking result. If the booking is confirmed, the server sends a booking confirmation message to the user, along with a link to view the meeting details.

[0051] Step 4:

[0052] Before the meeting, the server transfers meeting details to the terminal. Ten minutes before the meeting starts, the terminal prepares to guide participants in the lobby or entrance.

[0053] Step 5:

[0054] The terminal uses voice and display to guide participants to the meeting room. The terminal provides voice guidance such as, "Participants for the XX meeting, please come this way," and the display shows the meeting room information.

[0055] Step 6:

[0056] At the start of the meeting, the terminal displays the agenda on its screen based on the agenda information it retrieves from the server.

[0057] Step 7:

[0058] During the meeting, the server collects audio data in real time and converts it into text data using speech recognition. This data will be used later to generate meeting minutes.

[0059] Step 8:

[0060] When a user gives voice commands to guide the meeting, the terminal recognizes them and performs the specified action (e.g., "Proceed to the next agenda item").

[0061] Step 9:

[0062] After the meeting ends, the server uses the transcribed audio data to generate meeting minutes, summarizing key points and conclusions.

[0063] Step 10:

[0064] The server automatically sends the generated meeting minutes to the user. The user can quickly review the minutes via email or other means and consider the next steps.

[0065] (Example 1)

[0066] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0067] Modern meetings demand efficient operation, effective participant guidance, and rapid creation and distribution of meeting minutes. However, these processes are time-consuming, cumbersome, and often run inefficiently. This invention aims to provide an environment where participants can focus more effectively on the meeting by automating and efficiently managing the entire process from meeting scheduling to follow-up.

[0068] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0069] In this invention, the server includes means for registering meeting reservation information in a storage device and confirming the availability of the reservation, means for guiding participants based on the time before the start of the meeting, means for presenting the agenda and managing the progress during the meeting, means for converting audio information of the meeting into text information and generating meeting minutes, and means for recognizing voice commands and supporting the progress of the meeting. This enables automated meeting operation, smooth progress, and rapid creation and distribution of meeting minutes.

[0070] "Reservation information" refers to data necessary for holding a meeting, such as the date, time, location, and participants.

[0071] A "storage device" is hardware or software that stores data and makes it accessible as needed.

[0072] "Means of guiding participants" refers to the function of conveying information to meeting attendees using audio or visual instructions.

[0073] An "agenda" refers to the topics or subjects that should be discussed or considered during a meeting.

[0074] "Means of managing the progress" refers to functions that control the flow and time allocation of a meeting, and ensure its smooth progress.

[0075] "Audio information" refers to audio data of what was said during the meeting.

[0076] "Means of converting to text information" refers to the processes and technologies that change audio data into text format.

[0077] "Meeting minutes" are documents that record the content discussed during a meeting and are made available for later reference.

[0078] "Voice commands" refer to instructions or commands that users input using their voice.

[0079] "Means of supporting the progress" refers to a function that supports the flow of a meeting by receiving commands through voice recognition and executing the results.

[0080] The conference support system of this invention is an automated platform in which a server, terminals, and users work together. The server plays a central role in managing conference scheduling, progress, and minute-taking and distribution, and consists of a database, speech recognition software, and a communication network. In particular, the speech recognition technology uses a generative AI model to perform highly accurate text conversion.

[0081] Users book meetings through the application. The application has the functionality to collect booking data such as the meeting date, time, location, and participant information, and send it to the server. This information is stored in the server's storage device, and the availability of the booking is checked via a database.

[0082] The terminals are installed in the meeting rooms and guide participants based on meeting information received from the server. For example, the terminals use voice and display to provide an interface that guides participants 10 minutes before the meeting starts. This operates at the entrance to the meeting room and can give participants instructions such as, "Please proceed straight ahead for the XX meeting."

[0083] During the meeting, the terminal displays agenda information prepared by the server. The server also collects audio data in real time and converts it into accurate text data using a generative AI model. This process ensures that key points from the meeting are quickly recorded as meeting minutes.

[0084] Furthermore, when a user issues a voice command such as "move to the next agenda item," the device analyzes the command through its voice recognition function and quickly changes the settings. This type of voice control makes meetings run more smoothly and efficiently.

[0085] After the meeting ends, the server has a function to automatically send the generated meeting minutes to the users. This allows participants to review the meeting content and decide on their next actions immediately after the meeting. For example, the meeting minutes are sent by email at the end of the meeting, so participants can check the contents even while on the go. An example of a related prompt message would be, "I would like to reserve a marketing strategy meeting in Conference Room B from 10:00 AM to 1:00 PM. Please notify participants 10 minutes before the meeting starts."

[0086] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0087] Step 1:

[0088] Users enter meeting reservation information using a dedicated application. Specifically, they enter details such as the date, time, location, and participants in a prompt format, and the application sends this information to the server. This input information is stored in the server's storage device.

[0089] Step 2:

[0090] The server queries the database based on the received reservation information to check the availability of the meeting rooms. The program works in conjunction with the storage device to determine whether or not a reservation is possible and returns the result to the client. This allows for a quick decision on whether or not a reservation is possible.

[0091] Step 3:

[0092] The server registers the confirmed reservation information in the database and sends a confirmation message to the user. This permanently records the reservation information, allowing for later retrieval and updating. The user receives a confirmation message such as, "Your reservation has been confirmed."

[0093] Step 4:

[0094] As the meeting start time approaches, the server sends schedule information to the terminal. The input is the confirmed meeting schedule information, and the output is the process of transferring this information to the terminal. Based on the received information, the terminal begins preparing to guide participants near the meeting room entrance.

[0095] Step 5:

[0096] The terminal will make an announcement to participants using voice and display 10 minutes before the meeting starts. Meeting information is entered here and output as voice and text. Specifically, an announcement such as "The XX meeting will start in 10 minutes" will be provided.

[0097] Step 6:

[0098] During the meeting, the server runs a recording process, collecting audio data in real time and converting it into text. It uses a generative AI model for speech recognition and outputs the text data. This text data is immediately displayed on the monitor, allowing participants to track the progress.

[0099] Step 7:

[0100] When a voice command is received from the user, the terminal analyzes it and immediately performs the instructed action (for example, moving to the next agenda item). In this process, the voice input is analyzed and output as an update to the agenda information.

[0101] Step 8:

[0102] After the meeting ends, the server automatically sends the generated meeting minutes to the user via email. Here, the minutes are entered as text, and the output is distributed via email. This allows participants to quickly review the meeting content.

[0103] (Application Example 1)

[0104] 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."

[0105] The problem this invention aims to solve is to enable participants in meetings and production meetings to efficiently conduct discussions and quickly and accurately grasp the content of the meeting. It also aims to support the progress of meetings without interfering with on-site activities by enabling visual information presentation and hands-free operation.

[0106] 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.

[0107] In this invention, the server includes means for registering meeting reservation information in an information storage device and confirming the availability of the reservation, means for guiding participants based on the meeting start time, means for presenting the agenda and managing the time during the meeting, means for converting meeting audio data into text and generating meeting minutes, and means for displaying visual information using a smart device. As a result, participants can effectively receive visual information during meetings and production meetings and operate hands-free based on voice instructions.

[0108] "Means for registering meeting reservation information in an information storage device and confirming the availability of a reservation" refers to a device that records information such as the date, time, and location of a meeting entered by the user in a database, and has the function of confirming the availability of a meeting room based on that information.

[0109] "Means of guiding participants based on meeting start time" refers to devices that provide visual or audio guidance to guide participants to the appropriate meeting room before the meeting begins.

[0110] A "means for presenting agenda items and managing time during a meeting" refers to a device that displays important agenda items or upcoming topics to participants during the meeting, thereby efficiently managing meeting time.

[0111] "Means for converting meeting audio data into text and generating meeting minutes" refers to a technology or device for converting audio from a meeting into a document in real time and recording its contents.

[0112] "Means of displaying visual information using smart devices" refers to equipment that uses digital devices such as smartphones and smart glasses to visually present important information to participants during meetings or conferences.

[0113] The system of this invention aims to improve the efficiency of meetings and production meetings, and functions in cooperation with three elements: a server, a terminal, and a user. The server registers the meeting reservation information provided by the user in an information storage device and checks whether the reservation is possible. If the reservation is approved, a confirmation message is sent to the user.

[0114] As the meeting start time approaches, the server sends instructions to the terminal to guide participants appropriately. This terminal includes a device capable of voice guidance and visual display to smoothly guide participants to the meeting room. During the meeting, the terminal displays the agenda on its screen while managing the time based on the agenda information sent from the server.

[0115] The server also uses speech recognition technology to convert audio data during meetings into text. This conversion process automatically generates meeting minutes, which are then quickly sent to relevant parties via email or other means after the meeting. Specifically, it uses Google® Cloud Speech-to-Text API or Azure® Cognitive Services to process audio data in real time and store it as text data.

[0116] Furthermore, if a meeting participant gives a voice command to move on to the next agenda item, the device can analyze the voice command and automatically display the corresponding agenda item. This makes the meeting proceed more efficiently. This entire process is made possible by utilizing devices such as smart glasses and smartphones, enabling hands-free information presentation.

[0117] As a concrete example, a line manager can use voice commands during a production meeting, such as "Let's move on to the next agenda item," to immediately display the next important topic on a smart device, ensuring a smooth continuation of the meeting.

[0118] Furthermore, an example of a prompt using the generated AI model is: "Please propose specific methods for production managers to efficiently manage the agenda at the next production meeting. Explain the overall process in an easy-to-understand procedure, and include practical examples, especially those using voice commands."

[0119] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0120] Step 1:

[0121] The user enters meeting reservation information. This information includes the date and time of the meeting, location, and participant list. The server registers this information in its storage device and performs a reservation confirmation process. It searches the database based on the input data to determine the availability of the meeting room. The output is either an approval or rejection of the reservation.

[0122] Step 2:

[0123] If the reservation information is approved, the server will notify registered participants as the meeting start time approaches. This will be done using email or a notification service. In addition, meeting information will be sent to the terminal. This information will include instructions regarding the meeting start time and location. The data will be displayed on the terminal's screen and output as an audio alert.

[0124] Step 3:

[0125] Once the meeting begins, the terminal displays agenda information sent from the server. The terminal visually presents this information to participants while simultaneously managing the meeting time. The entered agenda data can be displayed on the terminal screen, and the elapsed time can be measured using the timer function.

[0126] Step 4:

[0127] During the meeting, the terminal collects audio data of the conversation and sends it to the server. The server uses the Google Cloud Speech-to-Text API to convert this audio data into text in real time. The input audio data is converted into text data by the API and stored in a database as meeting minutes. A visualized document is obtained as output.

[0128] Step 5:

[0129] When the user gives a voice command such as "Proceed to the next agenda item," the terminal recognizes the voice command and retrieves the corresponding data from the server. The server then sends new agenda information to the terminal and displays it. The input voice command is parsed, and the next agenda data is output.

[0130] Step 6:

[0131] After the meeting ends, the server sends the generated meeting minutes to the relevant parties. This is done via email or a dedicated application. By sending the meeting minutes data to the email system, the minutes are distributed to all participants. The specific output is text information of the meeting content.

[0132] 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.

[0133] This invention incorporates emotion recognition into an automated meeting support system that improves the efficiency of meetings. The system operates through the cooperation of a server, terminal, and user, and an emotion engine recognizes the user's emotions and reflects them in the progress of the meeting.

[0134] Users book meetings through a dedicated application. This booking information is sent to a server, which then uses the received information to check the availability of the meeting room by referring to a database. The server then sends a booking confirmation notice to the user.

[0135] Before the meeting begins, the server transmits the meeting details to the terminal. As the meeting start time approaches, the terminal prepares to guide participants to the meeting room. Specifically, the terminal acts as a voice assistant, announcing, "Here are the participants for the XX meeting," and displays the meeting information on its screen.

[0136] During the meeting, the terminal displays the agenda and manages the time according to instructions from the server. This is where the emotion engine comes into play. The emotion engine is built into the terminal and monitors the user's emotional state by analyzing their facial expressions and tone of voice through input devices such as the camera and microphone. For example, if it detects that a participant is feeling frustrated, it can suggest a break to the meeting facilitator or prompt a change of agenda item.

[0137] Furthermore, after the meeting ends, the server generates meeting minutes based on the audio data collected during the meeting. At this time, it also records the emotional changes recognized by the emotion engine and reports to the user how these influenced the meeting's progress. This information is sent to the user via email or other means, and can be used to review the meeting and identify areas for improvement.

[0138] This system not only supports the smooth running of meetings but also enables meetings that take participants' feelings into consideration, resulting in more productive and efficient meetings.

[0139] The following describes the processing flow.

[0140] Step 1:

[0141] Users enter meeting reservation information using a dedicated application. They specify the date and time of the meeting, participants, location, etc., and send the reservation request to the server.

[0142] Step 2:

[0143] Based on the reservation information received by the server, it checks the availability of the meeting room by referring to the database. If a reservation is possible, the server records the information in the database and sends a reservation confirmation notification to the user.

[0144] Step 3:

[0145] Before the meeting begins, the server sends meeting details to the terminal. The terminal prepares to properly guide participants near the entrance of the meeting room.

[0146] Step 4:

[0147] The device uses voice and display to guide participants to the start of the meeting. For example, the device might announce, "Participants of the XX meeting, please gather here."

[0148] Step 5:

[0149] During the meeting, the terminal displays the agenda on its screen based on information retrieved from the server and keeps track of the time. If necessary, it notifies participants of the remaining time.

[0150] Step 6:

[0151] An emotion engine is built into the device, analyzing participants' emotions in real time through the camera and microphone. Based on this, the server develops a strategy to optimize the meeting's progress.

[0152] Step 7:

[0153] If the emotion engine detects user stress or dissatisfaction, the device will suggest, "Let's take a short break," and report this to the meeting facilitator.

[0154] Step 8:

[0155] After the meeting ends, the server analyzes the collected audio and emotional data and generates a report on the emotional state along with the meeting minutes. This information is sent to the user via email to help with future improvements.

[0156] Step 9:

[0157] Users review the submitted meeting minutes and sentiment reports to plan for the next meeting and identify areas for improvement. This allows users to develop new strategies for achieving the meeting's objectives.

[0158] (Example 2)

[0159] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0160] Traditional meeting systems often led to communication breakdowns and decreased efficiency because they proceeded without considering participants' emotions. Furthermore, creating meeting minutes afterward was cumbersome, making it difficult to reflect on the impact of emotional shifts on the meeting. In addition, real-time situational responses were insufficient.

[0161] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0162] In this invention, the server includes means for registering meeting reservation information in an information recording device and confirming the availability of the reservation; means for using an input device during the meeting to have an emotion analysis device analyze the emotions of participants and reflect this in the progress of the meeting; and means for converting audio data recorded during the meeting into text, generating meeting minutes that include changes in emotions, and automatically transmitting them. This enables smooth meeting progress that takes into account the emotions of participants, effective creation of meeting minutes, and appropriate responses in real time.

[0163] An "information recording device" is a device that stores meeting reservation information and other related data, making it available for retrieval when needed.

[0164] An "input device" is a device, such as a camera or microphone, used to collect information about participants' facial expressions and voice tones.

[0165] An "emotion analysis device" is a device that analyzes the emotional state of participants based on data obtained from an input device and reflects the results in the progress of the meeting.

[0166] "Converting to text" is the process of analyzing audio data and converting the audio content into text information.

[0167] "Meeting minutes" are documented records of the content, statements, and decisions made during a meeting, and in this invention, they also include information regarding emotional changes.

[0168] This invention relates to a meeting support system that takes participants' emotions into consideration. The main components of the system are a server, terminals, and users, and it incorporates an emotion analysis device.

[0169] The server receives meeting reservation information entered by users through a dedicated application and registers it in the information recording device. The server uses an SQL database to check the availability of meeting rooms and notifies the user of the result. It also has a function to analyze audio data collected during meetings and automatically generate meeting minutes that include emotional changes.

[0170] The terminal uses a voice assistant and display to guide participants to the meeting room based on information received from the server before the meeting. Furthermore, the terminal is connected to an input device that uses a camera and microphone to collect participants' facial expressions and voice tone. An emotion analysis device processes this data and analyzes participants' emotions in real time. The analysis results are reflected in the meeting's progress; for example, if participant stress is detected, a break or a change of agenda can be suggested.

[0171] Users can receive sentiment reports sent from the server after a meeting, which can be used to review the meeting. This system makes it possible to improve the efficiency and productivity of meetings.

[0172] As a concrete example, here is an example of a prompt generated by a generative AI model: "Generate a prompt to suggest how to adjust the meeting's progress if you perceive that the participants are tired."

[0173] This allows for dynamic adjustment of the meeting's progress, ensuring a smooth flow that takes participants' feelings into consideration.

[0174] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0175] Step 1:

[0176] The user schedules a meeting. The user uses a dedicated application to enter information such as the meeting date, participants, and agenda, and then submits it. The entered information is sent to the server.

[0177] Step 2:

[0178] The server receives the reservation information and registers it in the database. Based on the received reservation information, the server uses SQL queries to search the database and check the availability of the meeting rooms. This information is output as confirmation of whether the reservation is possible or not.

[0179] Step 3:

[0180] The server sends a reservation confirmation notification to the user. If the meeting room is confirmed to be available, the server sends a reservation confirmation notification to the user. The notification is displayed on a confirmation screen in the dedicated application and is also sent via email.

[0181] Step 4:

[0182] The server sends meeting details to the terminal. As the meeting start time approaches, the server sends meeting details (time, location, participant list) to the terminal. This information is entered into the terminal.

[0183] Step 5:

[0184] The terminal guides meeting participants. Using a voice assistant, the terminal begins by saying, "Please come this way if you are joining the meeting." Meeting information is also displayed on the screen. This provides both visual and audio output to guide participants.

[0185] Step 6:

[0186] The terminal displays the agenda during the meeting and manages the time. Following instructions from the server, the terminal displays the agenda on its screen and manages the time using a timer module. The input is instruction data from the server, and the output is the display and timer operation.

[0187] Step 7:

[0188] An emotion analysis device analyzes the emotions of the participants. A camera and microphone connected to the terminal collect the participants' facial expressions and voices, inputting them into the emotion analysis device. Based on this data, the device analyzes their emotional state and outputs the results. Based on this output, it generates suggestions regarding the meeting's progress.

[0189] Step 8:

[0190] The server converts audio data into text and generates meeting minutes that include emotional information. After the meeting, the audio data recorded during the meeting is analyzed and converted into text using speech recognition software. The results of the emotional analysis are also incorporated to generate detailed meeting minutes. These minutes are output in digital file format.

[0191] Step 9:

[0192] The server sends the meeting minutes to the user. The generated minutes are sent to the user via email, providing feedback data for reviewing and improving the meeting.

[0193] (Application Example 2)

[0194] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0195] When customers select products or services in physical stores, they often don't receive appropriate customer service that responds to their emotions, which hinders customer satisfaction. Furthermore, it's difficult to accurately understand and respond to changes in customers' emotions, making it challenging to maintain consistent customer service quality.

[0196] 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.

[0197] In this invention, the server includes means for identifying the customer's emotional state based on analysis of their facial expressions and voice, means for suggesting an appropriate response according to the identified emotional state, and means for notifying the responder in real time. This makes it possible to instantly grasp changes in the customer's emotions and provide appropriate service.

[0198] An "information recording device" is a device for storing data and retrieving that information when needed.

[0199] A "participant" is an individual who participates in an activity or discussion within a meeting or service.

[0200] "Means of guidance" refers to methods or devices used to guide participants or users to their destination.

[0201] "Voice data" is a digital information format of human voice, used for recording conversations and instructions.

[0202] "Emotional state" refers to information that represents an individual's psychological reactions and mood, and is evaluated through facial expressions and voice.

[0203] "Appropriate response" means the best course of action or measure required under specific circumstances.

[0204] "Means of real-time notification" refers to functions or technologies for immediately conveying information to relevant parties.

[0205] To implement this invention, the first step is to select the hardware and software that constitute the entire system. Since data is exchanged seamlessly between the server, terminals, and users, operation in an environment with a secure network connection is fundamental. The server acts as an information recording device, registering meeting and service reservation information in a database and providing a function to confirm the availability of reservations.

[0206] The terminal is equipped with input devices such as a camera and microphone, which can capture the facial expressions and voices of participants and customers. This allows the system to use an emotion analysis engine to identify emotional states in real time and determine appropriate responses based on the results. Specific software options include emotion analysis tools such as the Affectiva API.

[0207] Users receive real-time information displayed on smart devices, such as smart glasses, and use them to interact with customers. These devices allow users to receive notifications from the system and instantly respond appropriately to the customer's emotional state. This improves the customer experience in stores and streamlines service delivery.

[0208] As a concrete example, when a customer is selecting products in a store, a staff member wearing smart glasses dynamically responds based on a prompt message such as, "Analyze the customer's current emotions from their facial expressions and tone of voice, and notify the sales staff if dissatisfaction is detected." This is a process that provides better service through real-time notifications to the user.

[0209] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0210] Step 1:

[0211] The server registers reservation information in the database via an information recording device. The input is reservation information provided by the user, and the server uses this information to refer to the database and check whether the reservation is possible. After confirmation, it sends the reservation result to the user and prepares for the next step.

[0212] Step 2:

[0213] As the meeting or service start time approaches, the terminal begins preparing to guide participants. It receives scheduled meeting information from the server as input, and the terminal provides participants with audio and visual guidance. At this point, the meeting details are displayed on the screen.

[0214] Step 3:

[0215] During meetings and services, the device captures participants' facial expressions and voices in real time via its camera and microphone. The input is the captured video and audio data, which an emotion analysis engine analyzes to identify emotional states. The emotional state is then displayed on the device in real time as output.

[0216] Step 4:

[0217] Users receive notifications about their emotional state via smart devices. The input is the analysis result from an emotion analysis engine, and the user takes appropriate action based on this. The output is often a specific change in customer service. This process optimizes customer service.

[0218] Step 5:

[0219] After a meeting or service ends, the server converts the acquired audio data into text and generates meeting minutes. The input is the audio data collected during the meeting, and the engine processes this into text data to generate the completed meeting minutes as output. These minutes can be sent to the user to help with reviewing and improving the service.

[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] This invention is an automated meeting support system designed to improve the efficiency of meetings. It primarily functions through the coordinated operation of three elements: a server, terminals, and users.

[0237] First, the user makes a meeting reservation using a dedicated application. Once the user enters the reservation information, it is sent to the server. The server receives this information, accesses the database, and checks the availability of the reservation. If the meeting room is available, the server records the reservation information in the database and sends a confirmation message to the user.

[0238] As the meeting approaches, the server automatically transfers meeting information to the terminal. The terminal is installed in the meeting room and prepares the room so that participants can start the meeting smoothly. Ten minutes before the meeting starts, the terminal provides participants with announcements via voice and display. For example, it can give specific instructions near the entrance, such as "Participants for the XX meeting, please proceed straight ahead."

[0239] During the meeting, the terminal displays the agenda on its screen based on agenda information stored in advance by the server, supporting the progress of the meeting. The server also collects audio data in real time and converts it to text using speech recognition technology. This allows the server to automatically generate meeting minutes from important information during the meeting.

[0240] Furthermore, if a user gives a voice command such as "move to the next agenda item," the device can recognize the voice command and perform the specified action. This makes it possible to switch agenda items and proceed more smoothly.

[0241] After the meeting ends, the server automatically sends the generated meeting minutes to the users. This allows participants to quickly review the meeting content and consider their next steps. For example, since the minutes are sent by email immediately after the meeting ends, participants can review the content even while traveling.

[0242] Thus, the system of the present invention efficiently manages everything from meeting scheduling and execution to follow-up, supporting participants in conducting more productive meetings.

[0243] The following describes the processing flow.

[0244] Step 1:

[0245] Users enter meeting reservation information using a dedicated application. They specify the date, time, location, number of participants, etc., and send the reservation request to the server.

[0246] Step 2:

[0247] Based on the reservation information received by the server, it checks the database to see if the desired meeting room is available. The server compares this information with existing reservation information and, if available, records the information in the database.

[0248] Step 3:

[0249] The server notifies the user of the booking result. If the booking is confirmed, the server sends a booking confirmation message to the user, along with a link to view the meeting details.

[0250] Step 4:

[0251] Before the meeting, the server transfers meeting details to the terminal. Ten minutes before the meeting starts, the terminal prepares to guide participants in the lobby or entrance.

[0252] Step 5:

[0253] The terminal uses voice and display to guide participants to the meeting room. The terminal provides voice guidance such as, "Participants for the XX meeting, please come this way," and the display shows the meeting room information.

[0254] Step 6:

[0255] At the start of the meeting, the terminal displays the agenda on its screen based on the agenda information it retrieves from the server.

[0256] Step 7:

[0257] During the meeting, the server collects audio data in real time and converts it into text data using speech recognition. This data will be used later to generate meeting minutes.

[0258] Step 8:

[0259] When a user gives voice commands to guide the meeting, the terminal recognizes them and performs the specified action (e.g., "Proceed to the next agenda item").

[0260] Step 9:

[0261] After the meeting ends, the server uses the transcribed audio data to generate meeting minutes, summarizing key points and conclusions.

[0262] Step 10:

[0263] The server automatically sends the generated meeting minutes to the user. The user can quickly review the minutes via email or other means and consider the next steps.

[0264] (Example 1)

[0265] 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."

[0266] Modern meetings demand efficient operation, effective participant guidance, and rapid creation and distribution of meeting minutes. However, these processes are time-consuming, cumbersome, and often run inefficiently. This invention aims to provide an environment where participants can focus more effectively on the meeting by automating and efficiently managing the entire process from meeting scheduling to follow-up.

[0267] 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.

[0268] In this invention, the server includes means for registering meeting reservation information in a storage device and confirming the availability of the reservation, means for guiding participants based on the time before the start of the meeting, means for presenting the agenda and managing the progress during the meeting, means for converting audio information of the meeting into text information and generating meeting minutes, and means for recognizing voice commands and supporting the progress of the meeting. This enables automated meeting operation, smooth progress, and rapid creation and distribution of meeting minutes.

[0269] "Reservation information" refers to data necessary for holding a meeting, such as the date, time, location, and participants.

[0270] A "storage device" is hardware or software that stores data and makes it accessible as needed.

[0271] "Means of guiding participants" refers to the function of conveying information to meeting attendees using audio or visual instructions.

[0272] An "agenda" refers to the topics or subjects that should be discussed or considered during a meeting.

[0273] "Means of managing the progress" refers to functions that control the flow and time allocation of a meeting, and ensure its smooth progress.

[0274] "Audio information" refers to audio data of what was said during the meeting.

[0275] "Means of converting to text information" refers to the processes and technologies that change audio data into text format.

[0276] "Meeting minutes" are documents that record the content discussed during a meeting and are made available for later reference.

[0277] "Voice commands" refer to instructions or commands that users input using their voice.

[0278] "Means of supporting the progress" refers to a function that supports the flow of a meeting by receiving commands through voice recognition and executing the results.

[0279] The conference support system of this invention is an automated platform in which a server, terminals, and users work together. The server plays a central role in managing conference scheduling, progress, and minute-taking and distribution, and consists of a database, speech recognition software, and a communication network. In particular, the speech recognition technology uses a generative AI model to perform highly accurate text conversion.

[0280] Users book meetings through the application. The application has the functionality to collect booking data such as the meeting date, time, location, and participant information, and send it to the server. This information is stored in the server's storage device, and the availability of the booking is checked via a database.

[0281] The terminals are installed in the meeting rooms and guide participants based on meeting information received from the server. For example, the terminals use voice and display to provide an interface that guides participants 10 minutes before the meeting starts. This operates at the entrance to the meeting room and can give participants instructions such as, "Please proceed straight ahead for the XX meeting."

[0282] During the meeting, the terminal displays agenda information prepared by the server. The server also collects audio data in real time and converts it into accurate text data using a generative AI model. This process ensures that key points from the meeting are quickly recorded as meeting minutes.

[0283] Furthermore, when a user issues a voice command such as "move to the next agenda item," the device analyzes the command through its voice recognition function and quickly changes the settings. This type of voice control makes meetings run more smoothly and efficiently.

[0284] After the meeting ends, the server has a function to automatically send the generated meeting minutes to the user. As a result, participants can review the meeting content immediately after the meeting ends and determine the next action. As a specific example, the meeting minutes are sent by email at the end, and participants can check the content even while on the move. Examples of related prompt texts include "I would like to reserve a marketing strategy meeting in Conference Room B from 10:00 am to 1:00 pm. Please notify the participants 10 minutes before the meeting starts."

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

[0286] Step 1:

[0287] The user inputs the meeting reservation information using a dedicated application. Specifically, details such as the date, time, location, and participants are input in the form of a prompt text, and the application sends it to the server. This input information is stored in the server's storage device.

[0288] Step 2:

[0289] The server queries the database based on the received reservation information and checks the availability of the conference room. The program determines whether the reservation is possible in cooperation with the storage device and returns the determination result to the client. As a result, the availability of the reservation is quickly determined.

[0290] Step 3:

[0291] The server registers the information that the reservation has been confirmed in the database and sends a confirmation message to the user. Here, the reservation information is permanently recorded, enabling future queries and updates. A confirmation message such as "The reservation has been confirmed" is output to the user.

[0292] Step 4:

[0293] As the meeting start time approaches, the server sends schedule information to the terminal. The input is the confirmed meeting schedule information, and the output is the process of transferring this information to the terminal. Based on the received information, the terminal begins preparing to guide participants near the meeting room entrance.

[0294] Step 5:

[0295] The terminal will make an announcement to participants using voice and display 10 minutes before the meeting starts. Meeting information is entered here and output as voice and text. Specifically, an announcement such as "The XX meeting will start in 10 minutes" will be provided.

[0296] Step 6:

[0297] During the meeting, the server runs a recording process, collecting audio data in real time and converting it into text. It uses a generative AI model for speech recognition and outputs the text data. This text data is immediately displayed on the monitor, allowing participants to track the progress.

[0298] Step 7:

[0299] When a voice command is received from the user, the terminal analyzes it and immediately performs the instructed action (for example, moving to the next agenda item). In this process, the voice input is analyzed and output as an update to the agenda information.

[0300] Step 8:

[0301] After the meeting ends, the server automatically sends the generated meeting minutes to the user via email. Here, the minutes are entered as text, and the output is distributed via email. This allows participants to quickly review the meeting content.

[0302] (Application Example 1)

[0303] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as a "server", and the smart glasses 214 are referred to as a "terminal".

[0304] The problem that this invention aims to solve is to enable participants to efficiently conduct discussions and quickly and accurately grasp the content of a meeting during a meeting or production meeting. Another problem is to enable visual information presentation and hands-free operation, and to support the progress of the meeting without interfering with on-site activities.

[0305] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0306] In this invention, the server includes means for registering meeting reservation information in an information storage device and confirming the availability of the reservation, means for guiding participants based on the start time of the meeting, means for presenting topics and managing time during the meeting, means for converting the audio data of the meeting into text and generating minutes, and means for displaying visual information using a smart device. As a result, participants can effectively receive visual information during a meeting or production meeting, and hands-free operation based on voice instructions becomes possible.

[0307] The "means for registering meeting reservation information in an information storage device and confirming the availability of the reservation" is a device that records information such as the date, time, and location of a meeting input by a user in a database and has a function of confirming the availability of a meeting room based on this.

[0308] The "means for guiding participants based on the start time of the meeting" is a device that provides guidance visually or audibly to guide participants to an appropriate meeting room before the meeting starts.

[0309] The "means for presenting topics and managing time during the meeting" is a device that displays important topics and the next topic to participants during the meeting progress and efficiently manages the meeting time.

[0310] "Means for converting meeting audio data into text and generating meeting minutes" refers to a technology or device for converting audio from a meeting into a document in real time and recording its contents.

[0311] "Means of displaying visual information using smart devices" refers to equipment that uses digital devices such as smartphones and smart glasses to visually present important information to participants during meetings or conferences.

[0312] The system of this invention aims to improve the efficiency of meetings and production meetings, and functions in cooperation with three elements: a server, a terminal, and a user. The server registers the meeting reservation information provided by the user in an information storage device and checks whether the reservation is possible. If the reservation is approved, a confirmation message is sent to the user.

[0313] As the meeting start time approaches, the server sends instructions to the terminal to guide participants appropriately. This terminal includes a device capable of voice guidance and visual display to smoothly guide participants to the meeting room. During the meeting, the terminal displays the agenda on its screen while managing the time based on the agenda information sent from the server.

[0314] The server also uses speech recognition technology to convert audio data from meetings into text. This conversion process automatically generates meeting minutes, which are then quickly sent to relevant parties via email or other means after the meeting. Specifically, it uses the Google Cloud Speech-to-Text API or Azure Cognitive Services to process audio data in real time and store it as text data.

[0315] Furthermore, if a meeting participant gives a voice command to move on to the next agenda item, the device can analyze the voice command and automatically display the corresponding agenda item. This makes the meeting proceed more efficiently. This entire process is made possible by utilizing devices such as smart glasses and smartphones, enabling hands-free information presentation.

[0316] As a concrete example, a line manager can use voice commands during a production meeting, such as "Let's move on to the next agenda item," to immediately display the next important topic on a smart device, ensuring a smooth continuation of the meeting.

[0317] Furthermore, an example of a prompt using the generated AI model is: "Please propose specific methods for production managers to efficiently manage the agenda at the next production meeting. Explain the overall process in an easy-to-understand procedure, and include practical examples, especially those using voice commands."

[0318] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0319] Step 1:

[0320] The user enters meeting reservation information. This information includes the date and time of the meeting, location, and participant list. The server registers this information in its storage device and performs a reservation confirmation process. It searches the database based on the input data to determine the availability of the meeting room. The output is either an approval or rejection of the reservation.

[0321] Step 2:

[0322] If the reservation information is approved, the server will notify registered participants as the meeting start time approaches. This will be done using email or a notification service. In addition, meeting information will be sent to the terminal. This information will include instructions regarding the meeting start time and location. The data will be displayed on the terminal's screen and output as an audio alert.

[0323] Step 3:

[0324] Once the meeting begins, the terminal displays agenda information sent from the server. The terminal visually presents this information to participants while simultaneously managing the meeting time. The entered agenda data can be displayed on the terminal screen, and the elapsed time can be measured using the timer function.

[0325] Step 4:

[0326] During the meeting, the terminal collects audio data of the conversation and sends it to the server. The server uses the Google Cloud Speech-to-Text API to convert this audio data into text in real time. The input audio data is converted into text data by the API and stored in a database as meeting minutes. A visualized document is obtained as output.

[0327] Step 5:

[0328] When the user gives a voice command such as "Proceed to the next agenda item," the terminal recognizes the voice command and retrieves the corresponding data from the server. The server then sends new agenda information to the terminal and displays it. The input voice command is parsed, and the next agenda data is output.

[0329] Step 6:

[0330] After the meeting ends, the server sends the generated meeting minutes to the relevant parties. This is done via email or a dedicated application. By sending the meeting minutes data to the email system, the minutes are distributed to all participants. The specific output is text information of the meeting content.

[0331] 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.

[0332] This invention incorporates emotion recognition into an automated meeting support system that improves the efficiency of meetings. The system operates through the cooperation of a server, terminal, and user, and an emotion engine recognizes the user's emotions and reflects them in the progress of the meeting.

[0333] Users book meetings through a dedicated application. This booking information is sent to a server, which then uses the received information to check the availability of the meeting room by referring to a database. The server then sends a booking confirmation notice to the user.

[0334] Before the meeting begins, the server transmits the meeting details to the terminal. As the meeting start time approaches, the terminal prepares to guide participants to the meeting room. Specifically, the terminal acts as a voice assistant, announcing, "Here are the participants for the XX meeting," and displays the meeting information on its screen.

[0335] During the meeting, the terminal displays the agenda and manages the time according to instructions from the server. This is where the emotion engine comes into play. The emotion engine is built into the terminal and monitors the user's emotional state by analyzing their facial expressions and tone of voice through input devices such as the camera and microphone. For example, if it detects that a participant is feeling frustrated, it can suggest a break to the meeting facilitator or prompt a change of agenda item.

[0336] Furthermore, after the meeting ends, the server generates meeting minutes based on the audio data collected during the meeting. At this time, it also records the emotional changes recognized by the emotion engine and reports to the user how these influenced the meeting's progress. This information is sent to the user via email or other means, and can be used to review the meeting and identify areas for improvement.

[0337] This system not only supports the smooth running of meetings but also enables meetings that take participants' feelings into consideration, resulting in more productive and efficient meetings.

[0338] The following describes the processing flow.

[0339] Step 1:

[0340] Users enter meeting reservation information using a dedicated application. They specify the date and time of the meeting, participants, location, etc., and send the reservation request to the server.

[0341] Step 2:

[0342] Based on the reservation information received by the server, it checks the availability of the meeting room by referring to the database. If a reservation is possible, the server records the information in the database and sends a reservation confirmation notification to the user.

[0343] Step 3:

[0344] Before the meeting begins, the server sends meeting details to the terminal. The terminal prepares to properly guide participants near the entrance of the meeting room.

[0345] Step 4:

[0346] The device uses voice and display to guide participants to the start of the meeting. For example, the device might announce, "Participants of the XX meeting, please gather here."

[0347] Step 5:

[0348] During the meeting, the terminal displays the agenda on its screen based on information retrieved from the server and keeps track of the time. If necessary, it notifies participants of the remaining time.

[0349] Step 6:

[0350] An emotion engine is built into the device, analyzing participants' emotions in real time through the camera and microphone. Based on this, the server develops a strategy to optimize the meeting's progress.

[0351] Step 7:

[0352] If the emotion engine detects user stress or dissatisfaction, the device will suggest, "Let's take a short break," and report this to the meeting facilitator.

[0353] Step 8:

[0354] After the meeting ends, the server analyzes the collected audio and emotional data and generates a report on the emotional state along with the meeting minutes. This information is sent to the user via email to help with future improvements.

[0355] Step 9:

[0356] Users review the submitted meeting minutes and sentiment reports to plan for the next meeting and identify areas for improvement. This allows users to develop new strategies for achieving the meeting's objectives.

[0357] (Example 2)

[0358] 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".

[0359] Traditional meeting systems often led to communication breakdowns and decreased efficiency because they proceeded without considering participants' emotions. Furthermore, creating meeting minutes afterward was cumbersome, making it difficult to reflect on the impact of emotional shifts on the meeting. In addition, real-time situational responses were insufficient.

[0360] 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.

[0361] In this invention, the server includes means for registering meeting reservation information in an information recording device and confirming the availability of the reservation; means for using an input device during the meeting to have an emotion analysis device analyze the emotions of participants and reflect this in the progress of the meeting; and means for converting audio data recorded during the meeting into text, generating meeting minutes that include changes in emotions, and automatically transmitting them. This enables smooth meeting progress that takes into account the emotions of participants, effective creation of meeting minutes, and appropriate responses in real time.

[0362] An "information recording device" is a device that stores meeting reservation information and other related data, making it available for retrieval when needed.

[0363] An "input device" is a device, such as a camera or microphone, used to collect information about participants' facial expressions and voice tones.

[0364] An "emotion analysis device" is a device that analyzes the emotional state of participants based on data obtained from an input device and reflects the results in the progress of the meeting.

[0365] "Converting to text" is the process of analyzing audio data and converting the audio content into text information.

[0366] "Meeting minutes" are documented records of the content, statements, and decisions made during a meeting, and in this invention, they also include information regarding emotional changes.

[0367] This invention relates to a meeting support system that takes participants' emotions into consideration. The main components of the system are a server, terminals, and users, and it incorporates an emotion analysis device.

[0368] The server receives meeting reservation information entered by users through a dedicated application and registers it in the information recording device. The server uses an SQL database to check the availability of meeting rooms and notifies the user of the result. It also has a function to analyze audio data collected during meetings and automatically generate meeting minutes that include emotional changes.

[0369] The terminal uses a voice assistant and display to guide participants to the meeting room based on information received from the server before the meeting. Furthermore, the terminal is connected to an input device that uses a camera and microphone to collect participants' facial expressions and voice tone. An emotion analysis device processes this data and analyzes participants' emotions in real time. The analysis results are reflected in the meeting's progress; for example, if participant stress is detected, a break or a change of agenda can be suggested.

[0370] Users can receive sentiment reports sent from the server after a meeting, which can be used to review the meeting. This system makes it possible to improve the efficiency and productivity of meetings.

[0371] As a concrete example, here is an example of a prompt generated by a generative AI model: "Generate a prompt to suggest how to adjust the meeting's progress if you perceive that the participants are tired."

[0372] This allows for dynamic adjustment of the meeting's progress, ensuring a smooth flow that takes participants' feelings into consideration.

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

[0374] Step 1:

[0375] The user schedules a meeting. The user uses a dedicated application to enter information such as the meeting date, participants, and agenda, and then submits it. The entered information is sent to the server.

[0376] Step 2:

[0377] The server receives the reservation information and registers it in the database. Based on the received reservation information, the server uses SQL queries to search the database and check the availability of the meeting rooms. This information is output as confirmation of whether the reservation is possible or not.

[0378] Step 3:

[0379] The server sends a reservation confirmation notification to the user. If the meeting room is confirmed to be available, the server sends a reservation confirmation notification to the user. The notification is displayed on a confirmation screen in the dedicated application and is also sent via email.

[0380] Step 4:

[0381] The server sends meeting details to the terminal. As the meeting start time approaches, the server sends meeting details (time, location, participant list) to the terminal. This information is entered into the terminal.

[0382] Step 5:

[0383] The terminal guides meeting participants. Using a voice assistant, the terminal begins by saying, "Please come this way if you are joining the meeting." Meeting information is also displayed on the screen. This provides both visual and audio output to guide participants.

[0384] Step 6:

[0385] The terminal displays the agenda during the meeting and manages the time. Following instructions from the server, the terminal displays the agenda on its screen and manages the time using a timer module. The input is instruction data from the server, and the output is the display and timer operation.

[0386] Step 7:

[0387] An emotion analysis device analyzes the emotions of the participants. A camera and microphone connected to the terminal collect the participants' facial expressions and voices, inputting them into the emotion analysis device. Based on this data, the device analyzes their emotional state and outputs the results. Based on this output, it generates suggestions regarding the meeting's progress.

[0388] Step 8:

[0389] The server converts audio data into text and generates meeting minutes that include emotional information. After the meeting, the audio data recorded during the meeting is analyzed and converted into text using speech recognition software. The results of the emotional analysis are also incorporated to generate detailed meeting minutes. These minutes are output in digital file format.

[0390] Step 9:

[0391] The server sends the meeting minutes to the user. The generated minutes are sent to the user via email, providing feedback data for reviewing and improving the meeting.

[0392] (Application Example 2)

[0393] 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 as the "terminal".

[0394] When customers select products or services in physical stores, they often don't receive appropriate customer service that responds to their emotions, which hinders customer satisfaction. Furthermore, it's difficult to accurately understand and respond to changes in customers' emotions, making it challenging to maintain consistent customer service quality.

[0395] 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.

[0396] In this invention, the server includes means for identifying the customer's emotional state based on analysis of their facial expressions and voice, means for suggesting an appropriate response according to the identified emotional state, and means for notifying the responder in real time. This makes it possible to instantly grasp changes in the customer's emotions and provide appropriate service.

[0397] An "information recording device" is a device for storing data and retrieving that information when needed.

[0398] A "participant" is an individual who participates in an activity or discussion within a meeting or service.

[0399] "Means of guidance" refers to methods or devices used to guide participants or users to their destination.

[0400] "Voice data" is a digital information format of human voice, used for recording conversations and instructions.

[0401] "Emotional state" refers to information that represents an individual's psychological reactions and mood, and is evaluated through facial expressions and voice.

[0402] "Appropriate response" means the best course of action or measure required under specific circumstances.

[0403] "Means of real-time notification" refers to functions or technologies for immediately conveying information to relevant parties.

[0404] To implement this invention, the first step is to select the hardware and software that constitute the entire system. Since data is exchanged seamlessly between the server, terminals, and users, operation in an environment with a secure network connection is fundamental. The server acts as an information recording device, registering meeting and service reservation information in a database and providing a function to confirm the availability of reservations.

[0405] The terminal is equipped with input devices such as a camera and microphone, which can capture the facial expressions and voices of participants and customers. This allows the system to use an emotion analysis engine to identify emotional states in real time and determine appropriate responses based on the results. Specific software options include emotion analysis tools such as the Affectiva API.

[0406] Users receive real-time information displayed on smart devices, such as smart glasses, and use them to interact with customers. These devices allow users to receive notifications from the system and instantly respond appropriately to the customer's emotional state. This improves the customer experience in stores and streamlines service delivery.

[0407] As a concrete example, when a customer is selecting products in a store, a staff member wearing smart glasses dynamically responds based on a prompt message such as, "Analyze the customer's current emotions from their facial expressions and tone of voice, and notify the sales staff if dissatisfaction is detected." This is a process that provides better service through real-time notifications to the user.

[0408] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0409] Step 1:

[0410] The server registers reservation information in the database via an information recording device. The input is reservation information provided by the user, and the server uses this information to refer to the database and check whether the reservation is possible. After confirmation, it sends the reservation result to the user and prepares for the next step.

[0411] Step 2:

[0412] As the meeting or service start time approaches, the terminal begins preparing to guide participants. It receives scheduled meeting information from the server as input, and the terminal provides participants with audio and visual guidance. At this point, the meeting details are displayed on the screen.

[0413] Step 3:

[0414] During meetings and services, the device captures participants' facial expressions and voices in real time via its camera and microphone. The input is the captured video and audio data, which an emotion analysis engine analyzes to identify emotional states. The emotional state is then displayed on the device in real time as output.

[0415] Step 4:

[0416] Users receive notifications about their emotional state via smart devices. The input is the analysis result from an emotion analysis engine, and the user takes appropriate action based on this. The output is often a specific change in customer service. This process optimizes customer service.

[0417] Step 5:

[0418] After a meeting or service ends, the server converts the acquired audio data into text and generates meeting minutes. The input is the audio data collected during the meeting, and the engine processes this into text data to generate the completed meeting minutes as output. These minutes can be sent to the user to help with reviewing and improving the service.

[0419] 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.

[0420] 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.

[0421] 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.

[0422] [Third Embodiment]

[0423] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0424] 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.

[0425] 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).

[0426] 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.

[0427] 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.

[0428] 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).

[0429] 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.

[0430] 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.

[0431] 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.

[0432] 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.

[0433] 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.

[0434] 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".

[0435] This invention is an automated meeting support system designed to improve the efficiency of meetings. It primarily functions through the coordinated operation of three elements: a server, terminals, and users.

[0436] First, the user makes a meeting reservation using a dedicated application. Once the user enters the reservation information, it is sent to the server. The server receives this information, accesses the database, and checks the availability of the reservation. If the meeting room is available, the server records the reservation information in the database and sends a confirmation message to the user.

[0437] As the meeting approaches, the server automatically transfers meeting information to the terminal. The terminal is installed in the meeting room and prepares the room so that participants can start the meeting smoothly. Ten minutes before the meeting starts, the terminal provides participants with announcements via voice and display. For example, it can give specific instructions near the entrance, such as "Participants for the XX meeting, please proceed straight ahead."

[0438] During the meeting, the terminal displays the agenda on its screen based on agenda information stored in advance by the server, supporting the progress of the meeting. The server also collects audio data in real time and converts it to text using speech recognition technology. This allows the server to automatically generate meeting minutes from important information during the meeting.

[0439] Furthermore, if a user gives a voice command such as "move to the next agenda item," the device can recognize the voice command and perform the specified action. This makes it possible to switch agenda items and proceed more smoothly.

[0440] After the meeting ends, the server automatically sends the generated meeting minutes to the users. This allows participants to quickly review the meeting content and consider their next steps. For example, since the minutes are sent by email immediately after the meeting ends, participants can review the content even while traveling.

[0441] Thus, the system of the present invention efficiently manages everything from meeting scheduling and execution to follow-up, supporting participants in conducting more productive meetings.

[0442] The following describes the processing flow.

[0443] Step 1:

[0444] Users enter meeting reservation information using a dedicated application. They specify the date, time, location, number of participants, etc., and send the reservation request to the server.

[0445] Step 2:

[0446] Based on the reservation information received by the server, it checks the database to see if the desired meeting room is available. The server compares this information with existing reservation information and, if available, records the information in the database.

[0447] Step 3:

[0448] The server notifies the user of the booking result. If the booking is confirmed, the server sends a booking confirmation message to the user, along with a link to view the meeting details.

[0449] Step 4:

[0450] Before the meeting, the server transfers meeting details to the terminal. Ten minutes before the meeting starts, the terminal prepares to guide participants in the lobby or entrance.

[0451] Step 5:

[0452] The terminal uses voice and display to guide participants to the meeting room. The terminal provides voice guidance such as, "Participants for the XX meeting, please come this way," and the display shows the meeting room information.

[0453] Step 6:

[0454] At the start of the meeting, the terminal displays the agenda on its screen based on the agenda information it retrieves from the server.

[0455] Step 7:

[0456] During the meeting, the server collects audio data in real time and converts it into text data using speech recognition. This data will be used later to generate meeting minutes.

[0457] Step 8:

[0458] When a user gives voice commands to guide the meeting, the terminal recognizes them and performs the specified action (e.g., "Proceed to the next agenda item").

[0459] Step 9:

[0460] After the meeting ends, the server uses the transcribed audio data to generate meeting minutes, summarizing key points and conclusions.

[0461] Step 10:

[0462] The server automatically sends the generated meeting minutes to the user. The user can quickly review the minutes via email or other means and consider the next steps.

[0463] (Example 1)

[0464] 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."

[0465] Modern meetings demand efficient operation, effective participant guidance, and rapid creation and distribution of meeting minutes. However, these processes are time-consuming, cumbersome, and often run inefficiently. This invention aims to provide an environment where participants can focus more effectively on the meeting by automating and efficiently managing the entire process from meeting scheduling to follow-up.

[0466] 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.

[0467] In this invention, the server includes means for registering meeting reservation information in a storage device and confirming the availability of the reservation, means for guiding participants based on the time before the start of the meeting, means for presenting the agenda and managing the progress during the meeting, means for converting audio information of the meeting into text information and generating meeting minutes, and means for recognizing voice commands and supporting the progress of the meeting. This enables automated meeting operation, smooth progress, and rapid creation and distribution of meeting minutes.

[0468] "Reservation information" refers to data necessary for holding a meeting, such as the date, time, location, and participants.

[0469] A "storage device" is hardware or software that stores data and makes it accessible as needed.

[0470] "Means of guiding participants" refers to the function of conveying information to meeting attendees using audio or visual instructions.

[0471] An "agenda" refers to the topics or subjects that should be discussed or considered during a meeting.

[0472] "Means of managing the progress" refers to functions that control the flow and time allocation of a meeting, and ensure its smooth progress.

[0473] "Audio information" refers to audio data of what was said during the meeting.

[0474] "Means of converting to text information" refers to the processes and technologies that change audio data into text format.

[0475] "Meeting minutes" are documents that record the content discussed during a meeting and are made available for later reference.

[0476] "Voice commands" refer to instructions or commands that users input using their voice.

[0477] "Means of supporting the progress" refers to a function that supports the flow of a meeting by receiving commands through voice recognition and executing the results.

[0478] The conference support system of this invention is an automated platform in which a server, terminals, and users work together. The server plays a central role in managing conference scheduling, progress, and minute-taking and distribution, and consists of a database, speech recognition software, and a communication network. In particular, the speech recognition technology uses a generative AI model to perform highly accurate text conversion.

[0479] Users book meetings through the application. The application has the functionality to collect booking data such as the meeting date, time, location, and participant information, and send it to the server. This information is stored in the server's storage device, and the availability of the booking is checked via a database.

[0480] The terminals are installed in the meeting rooms and guide participants based on meeting information received from the server. For example, the terminals use voice and display to provide an interface that guides participants 10 minutes before the meeting starts. This operates at the entrance to the meeting room and can give participants instructions such as, "Please proceed straight ahead for the XX meeting."

[0481] During the meeting, the terminal displays agenda information prepared by the server. The server also collects audio data in real time and converts it into accurate text data using a generative AI model. This process ensures that key points from the meeting are quickly recorded as meeting minutes.

[0482] Furthermore, when a user issues a voice command such as "move to the next agenda item," the device analyzes the command through its voice recognition function and quickly changes the settings. This type of voice control makes meetings run more smoothly and efficiently.

[0483] After the meeting ends, the server has a function to automatically send the generated meeting minutes to the users. This allows participants to review the meeting content and decide on their next actions immediately after the meeting. For example, the meeting minutes are sent by email at the end of the meeting, so participants can check the contents even while on the go. An example of a related prompt message would be, "I would like to reserve a marketing strategy meeting in Conference Room B from 10:00 AM to 1:00 PM. Please notify participants 10 minutes before the meeting starts."

[0484] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0485] Step 1:

[0486] Users enter meeting reservation information using a dedicated application. Specifically, they enter details such as the date, time, location, and participants in a prompt format, and the application sends this information to the server. This input information is stored in the server's storage device.

[0487] Step 2:

[0488] The server queries the database based on the received reservation information to check the availability of the meeting rooms. The program works in conjunction with the storage device to determine whether or not a reservation is possible and returns the result to the client. This allows for a quick decision on whether or not a reservation is possible.

[0489] Step 3:

[0490] The server registers the confirmed reservation information in the database and sends a confirmation message to the user. This permanently records the reservation information, allowing for later retrieval and updating. The user receives a confirmation message such as, "Your reservation has been confirmed."

[0491] Step 4:

[0492] As the meeting start time approaches, the server sends schedule information to the terminal. The input is the confirmed meeting schedule information, and the output is the process of transferring this information to the terminal. Based on the received information, the terminal begins preparing to guide participants near the meeting room entrance.

[0493] Step 5:

[0494] The terminal will make an announcement to participants using voice and display 10 minutes before the meeting starts. Meeting information is entered here and output as voice and text. Specifically, an announcement such as "The XX meeting will start in 10 minutes" will be provided.

[0495] Step 6:

[0496] During the meeting, the server runs a recording process, collecting audio data in real time and converting it into text. It uses a generative AI model for speech recognition and outputs the text data. This text data is immediately displayed on the monitor, allowing participants to track the progress.

[0497] Step 7:

[0498] When a voice command is received from the user, the terminal analyzes it and immediately performs the instructed action (for example, moving to the next agenda item). In this process, the voice input is analyzed and output as an update to the agenda information.

[0499] Step 8:

[0500] After the meeting ends, the server automatically sends the generated meeting minutes to the user via email. Here, the minutes are entered as text, and the output is distributed via email. This allows participants to quickly review the meeting content.

[0501] (Application Example 1)

[0502] 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."

[0503] The problem this invention aims to solve is to enable participants in meetings and production meetings to efficiently conduct discussions and quickly and accurately grasp the content of the meeting. It also aims to support the progress of meetings without interfering with on-site activities by enabling visual information presentation and hands-free operation.

[0504] 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.

[0505] In this invention, the server includes means for registering meeting reservation information in an information storage device and confirming the availability of the reservation, means for guiding participants based on the meeting start time, means for presenting the agenda and managing the time during the meeting, means for converting meeting audio data into text and generating meeting minutes, and means for displaying visual information using a smart device. As a result, participants can effectively receive visual information during meetings and production meetings and operate hands-free based on voice instructions.

[0506] "Means for registering meeting reservation information in an information storage device and confirming the availability of a reservation" refers to a device that records information such as the date, time, and location of a meeting entered by the user in a database, and has the function of confirming the availability of a meeting room based on that information.

[0507] "Means of guiding participants based on meeting start time" refers to devices that provide visual or audio guidance to guide participants to the appropriate meeting room before the meeting begins.

[0508] A "means for presenting agenda items and managing time during a meeting" refers to a device that displays important agenda items or upcoming topics to participants during the meeting, thereby efficiently managing meeting time.

[0509] "Means for converting meeting audio data into text and generating meeting minutes" refers to a technology or device for converting audio from a meeting into a document in real time and recording its contents.

[0510] "Means of displaying visual information using smart devices" refers to equipment that uses digital devices such as smartphones and smart glasses to visually present important information to participants during meetings or conferences.

[0511] The system of this invention aims to improve the efficiency of meetings and production meetings, and functions in cooperation with three elements: a server, a terminal, and a user. The server registers the meeting reservation information provided by the user in an information storage device and checks whether the reservation is possible. If the reservation is approved, a confirmation message is sent to the user.

[0512] As the meeting start time approaches, the server sends instructions to the terminal to guide participants appropriately. This terminal includes a device capable of voice guidance and visual display to smoothly guide participants to the meeting room. During the meeting, the terminal displays the agenda on its screen while managing the time based on the agenda information sent from the server.

[0513] The server also uses speech recognition technology to convert audio data from meetings into text. This conversion process automatically generates meeting minutes, which are then quickly sent to relevant parties via email or other means after the meeting. Specifically, it uses the Google Cloud Speech-to-Text API or Azure Cognitive Services to process audio data in real time and store it as text data.

[0514] Furthermore, if a meeting participant gives a voice command to move on to the next agenda item, the device can analyze the voice command and automatically display the corresponding agenda item. This makes the meeting proceed more efficiently. This entire process is made possible by utilizing devices such as smart glasses and smartphones, enabling hands-free information presentation.

[0515] As a concrete example, a line manager can use voice commands during a production meeting, such as "Let's move on to the next agenda item," to immediately display the next important topic on a smart device, ensuring a smooth continuation of the meeting.

[0516] Furthermore, an example of a prompt using the generated AI model is: "Please propose specific methods for production managers to efficiently manage the agenda at the next production meeting. Explain the overall process in an easy-to-understand procedure, and include practical examples, especially those using voice commands."

[0517] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0518] Step 1:

[0519] The user enters meeting reservation information. This information includes the date and time of the meeting, location, and participant list. The server registers this information in its storage device and performs a reservation confirmation process. It searches the database based on the input data to determine the availability of the meeting room. The output is either an approval or rejection of the reservation.

[0520] Step 2:

[0521] If the reservation information is approved, the server will notify registered participants as the meeting start time approaches. This will be done using email or a notification service. In addition, meeting information will be sent to the terminal. This information will include instructions regarding the meeting start time and location. The data will be displayed on the terminal's screen and output as an audio alert.

[0522] Step 3:

[0523] Once the meeting begins, the terminal displays agenda information sent from the server. The terminal visually presents this information to participants while simultaneously managing the meeting time. The entered agenda data can be displayed on the terminal screen, and the elapsed time can be measured using the timer function.

[0524] Step 4:

[0525] During the meeting, the terminal collects audio data of the conversation and sends it to the server. The server uses the Google Cloud Speech-to-Text API to convert this audio data into text in real time. The input audio data is converted into text data by the API and stored in a database as meeting minutes. A visualized document is obtained as output.

[0526] Step 5:

[0527] When the user gives a voice command such as "Proceed to the next agenda item," the terminal recognizes the voice command and retrieves the corresponding data from the server. The server then sends new agenda information to the terminal and displays it. The input voice command is parsed, and the next agenda data is output.

[0528] Step 6:

[0529] After the meeting ends, the server sends the generated meeting minutes to the relevant parties. This is done via email or a dedicated application. By sending the meeting minutes data to the email system, the minutes are distributed to all participants. The specific output is text information of the meeting content.

[0530] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0531] This invention incorporates emotion recognition into an automated meeting support system that improves the efficiency of meetings. The system operates through the cooperation of a server, terminal, and user, and an emotion engine recognizes the user's emotions and reflects them in the progress of the meeting.

[0532] Users book meetings through a dedicated application. This booking information is sent to a server, which then uses the received information to check the availability of the meeting room by referring to a database. The server then sends a booking confirmation notice to the user.

[0533] Before the meeting begins, the server transmits the meeting details to the terminal. As the meeting start time approaches, the terminal prepares to guide participants to the meeting room. Specifically, the terminal acts as a voice assistant, announcing, "Here are the participants for the XX meeting," and displays the meeting information on its screen.

[0534] During the meeting, the terminal displays the agenda and manages the time according to instructions from the server. This is where the emotion engine comes into play. The emotion engine is built into the terminal and monitors the user's emotional state by analyzing their facial expressions and tone of voice through input devices such as the camera and microphone. For example, if it detects that a participant is feeling frustrated, it can suggest a break to the meeting facilitator or prompt a change of agenda item.

[0535] Furthermore, after the meeting ends, the server generates meeting minutes based on the audio data collected during the meeting. At this time, it also records the emotional changes recognized by the emotion engine and reports to the user how these influenced the meeting's progress. This information is sent to the user via email or other means, and can be used to review the meeting and identify areas for improvement.

[0536] This system not only supports the smooth running of meetings but also enables meetings that take participants' feelings into consideration, resulting in more productive and efficient meetings.

[0537] The following describes the processing flow.

[0538] Step 1:

[0539] Users enter meeting reservation information using a dedicated application. They specify the date and time of the meeting, participants, location, etc., and send the reservation request to the server.

[0540] Step 2:

[0541] Based on the reservation information received by the server, it checks the availability of the meeting room by referring to the database. If a reservation is possible, the server records the information in the database and sends a reservation confirmation notification to the user.

[0542] Step 3:

[0543] Before the meeting begins, the server sends meeting details to the terminal. The terminal prepares to properly guide participants near the entrance of the meeting room.

[0544] Step 4:

[0545] The device uses voice and display to guide participants to the start of the meeting. For example, the device might announce, "Participants of the XX meeting, please gather here."

[0546] Step 5:

[0547] During the meeting, the terminal displays the agenda on its screen based on information retrieved from the server and keeps track of the time. If necessary, it notifies participants of the remaining time.

[0548] Step 6:

[0549] An emotion engine is built into the device, analyzing participants' emotions in real time through the camera and microphone. Based on this, the server develops a strategy to optimize the meeting's progress.

[0550] Step 7:

[0551] If the emotion engine detects user stress or dissatisfaction, the device will suggest, "Let's take a short break," and report this to the meeting facilitator.

[0552] Step 8:

[0553] After the meeting ends, the server analyzes the collected audio and emotional data and generates a report on the emotional state along with the meeting minutes. This information is sent to the user via email to help with future improvements.

[0554] Step 9:

[0555] Users review the submitted meeting minutes and sentiment reports to plan for the next meeting and identify areas for improvement. This allows users to develop new strategies for achieving the meeting's objectives.

[0556] (Example 2)

[0557] 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."

[0558] Traditional meeting systems often led to communication breakdowns and decreased efficiency because they proceeded without considering participants' emotions. Furthermore, creating meeting minutes afterward was cumbersome, making it difficult to reflect on the impact of emotional shifts on the meeting. In addition, real-time situational responses were insufficient.

[0559] 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.

[0560] In this invention, the server includes means for registering meeting reservation information in an information recording device and confirming the availability of the reservation; means for using an input device during the meeting to have an emotion analysis device analyze the emotions of participants and reflect this in the progress of the meeting; and means for converting audio data recorded during the meeting into text, generating meeting minutes that include changes in emotions, and automatically transmitting them. This enables smooth meeting progress that takes into account the emotions of participants, effective creation of meeting minutes, and appropriate responses in real time.

[0561] An "information recording device" is a device that stores meeting reservation information and other related data, making it available for retrieval when needed.

[0562] An "input device" is a device, such as a camera or microphone, used to collect information about participants' facial expressions and voice tones.

[0563] An "emotion analysis device" is a device that analyzes the emotional state of participants based on data obtained from an input device and reflects the results in the progress of the meeting.

[0564] "Converting to text" is the process of analyzing audio data and converting the audio content into text information.

[0565] "Meeting minutes" are documented records of the content, statements, and decisions made during a meeting, and in this invention, they also include information regarding emotional changes.

[0566] This invention relates to a meeting support system that takes participants' emotions into consideration. The main components of the system are a server, terminals, and users, and it incorporates an emotion analysis device.

[0567] The server receives meeting reservation information entered by users through a dedicated application and registers it in the information recording device. The server uses an SQL database to check the availability of meeting rooms and notifies the user of the result. It also has a function to analyze audio data collected during meetings and automatically generate meeting minutes that include emotional changes.

[0568] The terminal uses a voice assistant and display to guide participants to the meeting room based on information received from the server before the meeting. Furthermore, the terminal is connected to an input device that uses a camera and microphone to collect participants' facial expressions and voice tone. An emotion analysis device processes this data and analyzes participants' emotions in real time. The analysis results are reflected in the meeting's progress; for example, if participant stress is detected, a break or a change of agenda can be suggested.

[0569] Users can receive sentiment reports sent from the server after a meeting, which can be used to review the meeting. This system makes it possible to improve the efficiency and productivity of meetings.

[0570] As a concrete example, here is an example of a prompt generated by a generative AI model: "Generate a prompt to suggest how to adjust the meeting's progress if you perceive that the participants are tired."

[0571] This allows for dynamic adjustment of the meeting's progress, ensuring a smooth flow that takes participants' feelings into consideration.

[0572] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0573] Step 1:

[0574] The user schedules a meeting. The user uses a dedicated application to enter information such as the meeting date, participants, and agenda, and then submits it. The entered information is sent to the server.

[0575] Step 2:

[0576] The server receives the reservation information and registers it in the database. Based on the received reservation information, the server uses SQL queries to search the database and check the availability of the meeting rooms. This information is output as confirmation of whether the reservation is possible or not.

[0577] Step 3:

[0578] The server sends a reservation confirmation notification to the user. If the meeting room is confirmed to be available, the server sends a reservation confirmation notification to the user. The notification is displayed on a confirmation screen in the dedicated application and is also sent via email.

[0579] Step 4:

[0580] The server sends meeting details to the terminal. As the meeting start time approaches, the server sends meeting details (time, location, participant list) to the terminal. This information is entered into the terminal.

[0581] Step 5:

[0582] The terminal guides meeting participants. Using a voice assistant, the terminal begins by saying, "Please come this way if you are joining the meeting." Meeting information is also displayed on the screen. This provides both visual and audio output to guide participants.

[0583] Step 6:

[0584] The terminal displays the agenda during the meeting and manages the time. Following instructions from the server, the terminal displays the agenda on its screen and manages the time using a timer module. The input is instruction data from the server, and the output is the display and timer operation.

[0585] Step 7:

[0586] An emotion analysis device analyzes the emotions of the participants. A camera and microphone connected to the terminal collect the participants' facial expressions and voices, inputting them into the emotion analysis device. Based on this data, the device analyzes their emotional state and outputs the results. Based on this output, it generates suggestions regarding the meeting's progress.

[0587] Step 8:

[0588] The server converts audio data into text and generates meeting minutes that include emotional information. After the meeting, the audio data recorded during the meeting is analyzed and converted into text using speech recognition software. The results of the emotional analysis are also incorporated to generate detailed meeting minutes. These minutes are output in digital file format.

[0589] Step 9:

[0590] The server sends the meeting minutes to the user. The generated minutes are sent to the user via email, providing feedback data for reviewing and improving the meeting.

[0591] (Application Example 2)

[0592] 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."

[0593] When customers select products or services in physical stores, they often don't receive appropriate customer service that responds to their emotions, which hinders customer satisfaction. Furthermore, it's difficult to accurately understand and respond to changes in customers' emotions, making it challenging to maintain consistent customer service quality.

[0594] 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.

[0595] In this invention, the server includes means for identifying the customer's emotional state based on analysis of their facial expressions and voice, means for suggesting an appropriate response according to the identified emotional state, and means for notifying the responder in real time. This makes it possible to instantly grasp changes in the customer's emotions and provide appropriate service.

[0596] An "information recording device" is a device for storing data and retrieving that information when needed.

[0597] A "participant" is an individual who participates in an activity or discussion within a meeting or service.

[0598] "Means of guidance" refers to methods or devices used to guide participants or users to their destination.

[0599] "Voice data" is a digital information format of human voice, used for recording conversations and instructions.

[0600] "Emotional state" refers to information that represents an individual's psychological reactions and mood, and is evaluated through facial expressions and voice.

[0601] "Appropriate response" means the best course of action or measure required under specific circumstances.

[0602] "Means of real-time notification" refers to functions or technologies for immediately conveying information to relevant parties.

[0603] To implement this invention, the first step is to select the hardware and software that constitute the entire system. Since data is exchanged seamlessly between the server, terminals, and users, operation in an environment with a secure network connection is fundamental. The server acts as an information recording device, registering meeting and service reservation information in a database and providing a function to confirm the availability of reservations.

[0604] The terminal is equipped with input devices such as a camera and microphone, which can capture the facial expressions and voices of participants and customers. This allows the system to use an emotion analysis engine to identify emotional states in real time and determine appropriate responses based on the results. Specific software options include emotion analysis tools such as the Affectiva API.

[0605] Users receive real-time information displayed on smart devices, such as smart glasses, and use them to interact with customers. These devices allow users to receive notifications from the system and instantly respond appropriately to the customer's emotional state. This improves the customer experience in stores and streamlines service delivery.

[0606] As a concrete example, when a customer is selecting products in a store, a staff member wearing smart glasses dynamically responds based on a prompt message such as, "Analyze the customer's current emotions from their facial expressions and tone of voice, and notify the sales staff if dissatisfaction is detected." This is a process that provides better service through real-time notifications to the user.

[0607] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0608] Step 1:

[0609] The server registers reservation information in the database via an information recording device. The input is reservation information provided by the user, and the server uses this information to refer to the database and check whether the reservation is possible. After confirmation, it sends the reservation result to the user and prepares for the next step.

[0610] Step 2:

[0611] As the meeting or service start time approaches, the terminal begins preparing to guide participants. It receives scheduled meeting information from the server as input, and the terminal provides participants with audio and visual guidance. At this point, the meeting details are displayed on the screen.

[0612] Step 3:

[0613] During meetings and services, the device captures participants' facial expressions and voices in real time via its camera and microphone. The input is the captured video and audio data, which an emotion analysis engine analyzes to identify emotional states. The emotional state is then displayed on the device in real time as output.

[0614] Step 4:

[0615] Users receive notifications about their emotional state via smart devices. The input is the analysis result from an emotion analysis engine, and the user takes appropriate action based on this. The output is often a specific change in customer service. This process optimizes customer service.

[0616] Step 5:

[0617] After a meeting or service ends, the server converts the acquired audio data into text and generates meeting minutes. The input is the audio data collected during the meeting, and the engine processes this into text data to generate the completed meeting minutes as output. These minutes can be sent to the user to help with reviewing and improving the service.

[0618] 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.

[0619] 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.

[0620] 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.

[0621] [Fourth Embodiment]

[0622] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0623] 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.

[0624] 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).

[0625] 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.

[0626] 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.

[0627] 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).

[0628] 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.

[0629] 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.

[0630] 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.

[0631] 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.

[0632] 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.

[0633] 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.

[0634] 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".

[0635] This invention is an automated meeting support system designed to improve the efficiency of meetings. It primarily functions through the coordinated operation of three elements: a server, terminals, and users.

[0636] First, the user makes a meeting reservation using a dedicated application. Once the user enters the reservation information, it is sent to the server. The server receives this information, accesses the database, and checks the availability of the reservation. If the meeting room is available, the server records the reservation information in the database and sends a confirmation message to the user.

[0637] As the meeting approaches, the server automatically transfers meeting information to the terminal. The terminal is installed in the meeting room and prepares the room so that participants can start the meeting smoothly. Ten minutes before the meeting starts, the terminal provides participants with announcements via voice and display. For example, it can give specific instructions near the entrance, such as "Participants for the XX meeting, please proceed straight ahead."

[0638] During the meeting, the terminal displays the agenda on its screen based on agenda information stored in advance by the server, supporting the progress of the meeting. The server also collects audio data in real time and converts it to text using speech recognition technology. This allows the server to automatically generate meeting minutes from important information during the meeting.

[0639] Furthermore, if a user gives a voice command such as "move to the next agenda item," the device can recognize the voice command and perform the specified action. This makes it possible to switch agenda items and proceed more smoothly.

[0640] After the meeting ends, the server automatically sends the generated meeting minutes to the users. This allows participants to quickly review the meeting content and consider their next steps. For example, since the minutes are sent by email immediately after the meeting ends, participants can review the content even while traveling.

[0641] Thus, the system of the present invention efficiently manages everything from meeting scheduling and execution to follow-up, supporting participants in conducting more productive meetings.

[0642] The following describes the processing flow.

[0643] Step 1:

[0644] Users enter meeting reservation information using a dedicated application. They specify the date, time, location, number of participants, etc., and send the reservation request to the server.

[0645] Step 2:

[0646] Based on the reservation information received by the server, it checks the database to see if the desired meeting room is available. The server compares this information with existing reservation information and, if available, records the information in the database.

[0647] Step 3:

[0648] The server notifies the user of the booking result. If the booking is confirmed, the server sends a booking confirmation message to the user, along with a link to view the meeting details.

[0649] Step 4:

[0650] Before the meeting, the server transfers meeting details to the terminal. Ten minutes before the meeting starts, the terminal prepares to guide participants in the lobby or entrance.

[0651] Step 5:

[0652] The terminal uses voice and display to guide participants to the meeting room. The terminal provides voice guidance such as, "Participants for the XX meeting, please come this way," and the display shows the meeting room information.

[0653] Step 6:

[0654] At the start of the meeting, the terminal displays the agenda on its screen based on the agenda information it retrieves from the server.

[0655] Step 7:

[0656] During the meeting, the server collects audio data in real time and converts it into text data using speech recognition. This data will be used later to generate meeting minutes.

[0657] Step 8:

[0658] When a user gives voice commands to guide the meeting, the terminal recognizes them and performs the specified action (e.g., "Proceed to the next agenda item").

[0659] Step 9:

[0660] After the meeting ends, the server uses the transcribed audio data to generate meeting minutes, summarizing key points and conclusions.

[0661] Step 10:

[0662] The server automatically sends the generated meeting minutes to the user. The user can quickly review the minutes via email or other means and consider the next steps.

[0663] (Example 1)

[0664] 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".

[0665] Modern meetings demand efficient operation, effective participant guidance, and rapid creation and distribution of meeting minutes. However, these processes are time-consuming, cumbersome, and often run inefficiently. This invention aims to provide an environment where participants can focus more effectively on the meeting by automating and efficiently managing the entire process from meeting scheduling to follow-up.

[0666] 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.

[0667] In this invention, the server includes means for registering meeting reservation information in a storage device and confirming the availability of the reservation, means for guiding participants based on the time before the start of the meeting, means for presenting the agenda and managing the progress during the meeting, means for converting audio information of the meeting into text information and generating meeting minutes, and means for recognizing voice commands and supporting the progress of the meeting. This enables automated meeting operation, smooth progress, and rapid creation and distribution of meeting minutes.

[0668] "Reservation information" refers to data necessary for holding a meeting, such as the date, time, location, and participants.

[0669] A "storage device" is hardware or software that stores data and makes it accessible as needed.

[0670] "Means of guiding participants" refers to the function of conveying information to meeting attendees using audio or visual instructions.

[0671] An "agenda" refers to the topics or subjects that should be discussed or considered during a meeting.

[0672] "Means of managing the progress" refers to functions that control the flow and time allocation of a meeting, and ensure its smooth progress.

[0673] "Audio information" refers to audio data of what was said during the meeting.

[0674] "Means of converting to text information" refers to the processes and technologies that change audio data into text format.

[0675] "Meeting minutes" are documents that record the content discussed during a meeting and are made available for later reference.

[0676] "Voice commands" refer to instructions or commands that users input using their voice.

[0677] "Means of supporting the progress" refers to a function that supports the flow of a meeting by receiving commands through voice recognition and executing the results.

[0678] The conference support system of this invention is an automated platform in which a server, terminals, and users work together. The server plays a central role in managing conference scheduling, progress, and minute-taking and distribution, and consists of a database, speech recognition software, and a communication network. In particular, the speech recognition technology uses a generative AI model to perform highly accurate text conversion.

[0679] Users book meetings through the application. The application has the functionality to collect booking data such as the meeting date, time, location, and participant information, and send it to the server. This information is stored in the server's storage device, and the availability of the booking is checked via a database.

[0680] The terminals are installed in the meeting rooms and guide participants based on meeting information received from the server. For example, the terminals use voice and display to provide an interface that guides participants 10 minutes before the meeting starts. This operates at the entrance to the meeting room and can give participants instructions such as, "Please proceed straight ahead for the XX meeting."

[0681] During the meeting, the terminal displays agenda information prepared by the server. The server also collects audio data in real time and converts it into accurate text data using a generative AI model. This process ensures that key points from the meeting are quickly recorded as meeting minutes.

[0682] Furthermore, when a user issues a voice command such as "move to the next agenda item," the device analyzes the command through its voice recognition function and quickly changes the settings. This type of voice control makes meetings run more smoothly and efficiently.

[0683] After the meeting ends, the server has a function to automatically send the generated meeting minutes to the users. This allows participants to review the meeting content and decide on their next actions immediately after the meeting. For example, the meeting minutes are sent by email at the end of the meeting, so participants can check the contents even while on the go. An example of a related prompt message would be, "I would like to reserve a marketing strategy meeting in Conference Room B from 10:00 AM to 1:00 PM. Please notify participants 10 minutes before the meeting starts."

[0684] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0685] Step 1:

[0686] Users enter meeting reservation information using a dedicated application. Specifically, they enter details such as the date, time, location, and participants in a prompt format, and the application sends this information to the server. This input information is stored in the server's storage device.

[0687] Step 2:

[0688] The server queries the database based on the received reservation information to check the availability of the meeting rooms. The program works in conjunction with the storage device to determine whether or not a reservation is possible and returns the result to the client. This allows for a quick decision on whether or not a reservation is possible.

[0689] Step 3:

[0690] The server registers the confirmed reservation information in the database and sends a confirmation message to the user. This permanently records the reservation information, allowing for later retrieval and updating. The user receives a confirmation message such as, "Your reservation has been confirmed."

[0691] Step 4:

[0692] As the meeting start time approaches, the server sends schedule information to the terminal. The input is the confirmed meeting schedule information, and the output is the process of transferring this information to the terminal. Based on the received information, the terminal begins preparing to guide participants near the meeting room entrance.

[0693] Step 5:

[0694] The terminal will make an announcement to participants using voice and display 10 minutes before the meeting starts. Meeting information is entered here and output as voice and text. Specifically, an announcement such as "The XX meeting will start in 10 minutes" will be provided.

[0695] Step 6:

[0696] During the meeting, the server runs a recording process, collecting audio data in real time and converting it into text. It uses a generative AI model for speech recognition and outputs the text data. This text data is immediately displayed on the monitor, allowing participants to track the progress.

[0697] Step 7:

[0698] When a voice command is received from the user, the terminal analyzes it and immediately performs the instructed action (for example, moving to the next agenda item). In this process, the voice input is analyzed and output as an update to the agenda information.

[0699] Step 8:

[0700] After the meeting ends, the server automatically sends the generated meeting minutes to the user via email. Here, the minutes are entered as text, and the output is distributed via email. This allows participants to quickly review the meeting content.

[0701] (Application Example 1)

[0702] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0703] The problem this invention aims to solve is to enable participants in meetings and production meetings to efficiently conduct discussions and quickly and accurately grasp the content of the meeting. It also aims to support the progress of meetings without interfering with on-site activities by enabling visual information presentation and hands-free operation.

[0704] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0705] In this invention, the server includes means for registering meeting reservation information in an information storage device and confirming the availability of the reservation, means for guiding participants based on the meeting start time, means for presenting the agenda and managing the time during the meeting, means for converting meeting audio data into text and generating meeting minutes, and means for displaying visual information using a smart device. As a result, participants can effectively receive visual information during meetings and production meetings and operate hands-free based on voice instructions.

[0706] "Means for registering meeting reservation information in an information storage device and confirming the availability of a reservation" refers to a device that records information such as the date, time, and location of a meeting entered by the user in a database, and has the function of confirming the availability of a meeting room based on that information.

[0707] "Means of guiding participants based on meeting start time" refers to devices that provide visual or audio guidance to guide participants to the appropriate meeting room before the meeting begins.

[0708] A "means for presenting agenda items and managing time during a meeting" refers to a device that displays important agenda items or upcoming topics to participants during the meeting, thereby efficiently managing meeting time.

[0709] "Means for converting meeting audio data into text and generating meeting minutes" refers to a technology or device for converting audio from a meeting into a document in real time and recording its contents.

[0710] "Means of displaying visual information using smart devices" refers to equipment that uses digital devices such as smartphones and smart glasses to visually present important information to participants during meetings or conferences.

[0711] The system of this invention aims to improve the efficiency of meetings and production meetings, and functions in cooperation with three elements: a server, a terminal, and a user. The server registers the meeting reservation information provided by the user in an information storage device and checks whether the reservation is possible. If the reservation is approved, a confirmation message is sent to the user.

[0712] As the meeting start time approaches, the server sends instructions to the terminal to guide participants appropriately. This terminal includes a device capable of voice guidance and visual display to smoothly guide participants to the meeting room. During the meeting, the terminal displays the agenda on its screen while managing the time based on the agenda information sent from the server.

[0713] The server also uses speech recognition technology to convert audio data from meetings into text. This conversion process automatically generates meeting minutes, which are then quickly sent to relevant parties via email or other means after the meeting. Specifically, it uses the Google Cloud Speech-to-Text API or Azure Cognitive Services to process audio data in real time and store it as text data.

[0714] Furthermore, if a meeting participant gives a voice command to move on to the next agenda item, the device can analyze the voice command and automatically display the corresponding agenda item. This makes the meeting proceed more efficiently. This entire process is made possible by utilizing devices such as smart glasses and smartphones, enabling hands-free information presentation.

[0715] As a concrete example, a line manager can use voice commands during a production meeting, such as "Let's move on to the next agenda item," to immediately display the next important topic on a smart device, ensuring a smooth continuation of the meeting.

[0716] Furthermore, an example of a prompt using the generated AI model is: "Please propose specific methods for production managers to efficiently manage the agenda at the next production meeting. Explain the overall process in an easy-to-understand procedure, and include practical examples, especially those using voice commands."

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

[0718] Step 1:

[0719] The user enters meeting reservation information. This information includes the date and time of the meeting, location, and participant list. The server registers this information in its storage device and performs a reservation confirmation process. It searches the database based on the input data to determine the availability of the meeting room. The output is either an approval or rejection of the reservation.

[0720] Step 2:

[0721] If the reservation information is approved, the server will notify registered participants as the meeting start time approaches. This will be done using email or a notification service. In addition, meeting information will be sent to the terminal. This information will include instructions regarding the meeting start time and location. The data will be displayed on the terminal's screen and output as an audio alert.

[0722] Step 3:

[0723] Once the meeting begins, the terminal displays agenda information sent from the server. The terminal visually presents this information to participants while simultaneously managing the meeting time. The entered agenda data can be displayed on the terminal screen, and the elapsed time can be measured using the timer function.

[0724] Step 4:

[0725] During the meeting, the terminal collects audio data of the conversation and sends it to the server. The server uses the Google Cloud Speech-to-Text API to convert this audio data into text in real time. The input audio data is converted into text data by the API and stored in a database as meeting minutes. A visualized document is obtained as output.

[0726] Step 5:

[0727] When the user gives a voice command such as "Proceed to the next agenda item," the terminal recognizes the voice command and retrieves the corresponding data from the server. The server then sends new agenda information to the terminal and displays it. The input voice command is parsed, and the next agenda data is output.

[0728] Step 6:

[0729] After the meeting ends, the server sends the generated meeting minutes to the relevant parties. This is done via email or a dedicated application. By sending the meeting minutes data to the email system, the minutes are distributed to all participants. The specific output is text information of the meeting content.

[0730] 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.

[0731] This invention incorporates emotion recognition into an automated meeting support system that improves the efficiency of meetings. The system operates through the cooperation of a server, terminal, and user, and an emotion engine recognizes the user's emotions and reflects them in the progress of the meeting.

[0732] Users book meetings through a dedicated application. This booking information is sent to a server, which then uses the received information to check the availability of the meeting room by referring to a database. The server then sends a booking confirmation notice to the user.

[0733] Before the meeting begins, the server transmits the meeting details to the terminal. As the meeting start time approaches, the terminal prepares to guide participants to the meeting room. Specifically, the terminal acts as a voice assistant, announcing, "Here are the participants for the XX meeting," and displays the meeting information on its screen.

[0734] During the meeting, the terminal displays the agenda and manages the time according to instructions from the server. This is where the emotion engine comes into play. The emotion engine is built into the terminal and monitors the user's emotional state by analyzing their facial expressions and tone of voice through input devices such as the camera and microphone. For example, if it detects that a participant is feeling frustrated, it can suggest a break to the meeting facilitator or prompt a change of agenda item.

[0735] Furthermore, after the meeting ends, the server generates meeting minutes based on the audio data collected during the meeting. At this time, it also records the emotional changes recognized by the emotion engine and reports to the user how these influenced the meeting's progress. This information is sent to the user via email or other means, and can be used to review the meeting and identify areas for improvement.

[0736] This system not only supports the smooth running of meetings but also enables meetings that take participants' feelings into consideration, resulting in more productive and efficient meetings.

[0737] The following describes the processing flow.

[0738] Step 1:

[0739] Users enter meeting reservation information using a dedicated application. They specify the date and time of the meeting, participants, location, etc., and send the reservation request to the server.

[0740] Step 2:

[0741] Based on the reservation information received by the server, it checks the availability of the meeting room by referring to the database. If a reservation is possible, the server records the information in the database and sends a reservation confirmation notification to the user.

[0742] Step 3:

[0743] Before the meeting begins, the server sends meeting details to the terminal. The terminal prepares to properly guide participants near the entrance of the meeting room.

[0744] Step 4:

[0745] The device uses voice and display to guide participants to the start of the meeting. For example, the device might announce, "Participants of the XX meeting, please gather here."

[0746] Step 5:

[0747] During the meeting, the terminal displays the agenda on its screen based on information retrieved from the server and keeps track of the time. If necessary, it notifies participants of the remaining time.

[0748] Step 6:

[0749] An emotion engine is built into the device, analyzing participants' emotions in real time through the camera and microphone. Based on this, the server develops a strategy to optimize the meeting's progress.

[0750] Step 7:

[0751] If the emotion engine detects user stress or dissatisfaction, the device will suggest, "Let's take a short break," and report this to the meeting facilitator.

[0752] Step 8:

[0753] After the meeting ends, the server analyzes the collected audio and emotional data and generates a report on the emotional state along with the meeting minutes. This information is sent to the user via email to help with future improvements.

[0754] Step 9:

[0755] Users review the submitted meeting minutes and sentiment reports to plan for the next meeting and identify areas for improvement. This allows users to develop new strategies for achieving the meeting's objectives.

[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] Traditional meeting systems often led to communication breakdowns and decreased efficiency because they proceeded without considering participants' emotions. Furthermore, creating meeting minutes afterward was cumbersome, making it difficult to reflect on the impact of emotional shifts on the meeting. In addition, real-time situational responses were insufficient.

[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 registering meeting reservation information in an information recording device and confirming the availability of the reservation; means for using an input device during the meeting to have an emotion analysis device analyze the emotions of participants and reflect this in the progress of the meeting; and means for converting audio data recorded during the meeting into text, generating meeting minutes that include changes in emotions, and automatically transmitting them. This enables smooth meeting progress that takes into account the emotions of participants, effective creation of meeting minutes, and appropriate responses in real time.

[0761] An "information recording device" is a device that stores meeting reservation information and other related data, making it available for retrieval when needed.

[0762] An "input device" is a device, such as a camera or microphone, used to collect information about participants' facial expressions and voice tones.

[0763] An "emotion analysis device" is a device that analyzes the emotional state of participants based on data obtained from an input device and reflects the results in the progress of the meeting.

[0764] "Converting to text" is the process of analyzing audio data and converting the audio content into text information.

[0765] "Meeting minutes" are documented records of the content, statements, and decisions made during a meeting, and in this invention, they also include information regarding emotional changes.

[0766] This invention relates to a meeting support system that takes participants' emotions into consideration. The main components of the system are a server, terminals, and users, and it incorporates an emotion analysis device.

[0767] The server receives meeting reservation information entered by users through a dedicated application and registers it in the information recording device. The server uses an SQL database to check the availability of meeting rooms and notifies the user of the result. It also has a function to analyze audio data collected during meetings and automatically generate meeting minutes that include emotional changes.

[0768] The terminal uses a voice assistant and display to guide participants to the meeting room based on information received from the server before the meeting. Furthermore, the terminal is connected to an input device that uses a camera and microphone to collect participants' facial expressions and voice tone. An emotion analysis device processes this data and analyzes participants' emotions in real time. The analysis results are reflected in the meeting's progress; for example, if participant stress is detected, a break or a change of agenda can be suggested.

[0769] Users can receive sentiment reports sent from the server after a meeting, which can be used to review the meeting. This system makes it possible to improve the efficiency and productivity of meetings.

[0770] As a concrete example, here is an example of a prompt generated by a generative AI model: "Generate a prompt to suggest how to adjust the meeting's progress if you perceive that the participants are tired."

[0771] This allows for dynamic adjustment of the meeting's progress, ensuring a smooth flow that takes participants' feelings into consideration.

[0772] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0773] Step 1:

[0774] The user schedules a meeting. The user uses a dedicated application to enter information such as the meeting date, participants, and agenda, and then submits it. The entered information is sent to the server.

[0775] Step 2:

[0776] The server receives the reservation information and registers it in the database. Based on the received reservation information, the server uses SQL queries to search the database and check the availability of the meeting rooms. This information is output as confirmation of whether the reservation is possible or not.

[0777] Step 3:

[0778] The server sends a reservation confirmation notification to the user. If the meeting room is confirmed to be available, the server sends a reservation confirmation notification to the user. The notification is displayed on a confirmation screen in the dedicated application and is also sent via email.

[0779] Step 4:

[0780] The server sends meeting details to the terminal. As the meeting start time approaches, the server sends meeting details (time, location, participant list) to the terminal. This information is entered into the terminal.

[0781] Step 5:

[0782] The terminal guides meeting participants. Using a voice assistant, the terminal begins by saying, "Please come this way if you are joining the meeting." Meeting information is also displayed on the screen. This provides both visual and audio output to guide participants.

[0783] Step 6:

[0784] The terminal displays the agenda during the meeting and manages the time. Following instructions from the server, the terminal displays the agenda on its screen and manages the time using a timer module. The input is instruction data from the server, and the output is the display and timer operation.

[0785] Step 7:

[0786] An emotion analysis device analyzes the emotions of the participants. A camera and microphone connected to the terminal collect the participants' facial expressions and voices, inputting them into the emotion analysis device. Based on this data, the device analyzes their emotional state and outputs the results. Based on this output, it generates suggestions regarding the meeting's progress.

[0787] Step 8:

[0788] The server converts audio data into text and generates meeting minutes that include emotional information. After the meeting, the audio data recorded during the meeting is analyzed and converted into text using speech recognition software. The results of the emotional analysis are also incorporated to generate detailed meeting minutes. These minutes are output in digital file format.

[0789] Step 9:

[0790] The server sends the meeting minutes to the user. The generated minutes are sent to the user via email, providing feedback data for reviewing and improving the meeting.

[0791] (Application Example 2)

[0792] 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".

[0793] When customers select products or services in physical stores, they often don't receive appropriate customer service that responds to their emotions, which hinders customer satisfaction. Furthermore, it's difficult to accurately understand and respond to changes in customers' emotions, making it challenging to maintain consistent customer service quality.

[0794] 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.

[0795] In this invention, the server includes means for identifying the customer's emotional state based on analysis of their facial expressions and voice, means for suggesting an appropriate response according to the identified emotional state, and means for notifying the responder in real time. This makes it possible to instantly grasp changes in the customer's emotions and provide appropriate service.

[0796] An "information recording device" is a device for storing data and retrieving that information when needed.

[0797] A "participant" is an individual who participates in an activity or discussion within a meeting or service.

[0798] "Means of guidance" refers to methods or devices used to guide participants or users to their destination.

[0799] "Voice data" is a digital information format of human voice, used for recording conversations and instructions.

[0800] "Emotional state" refers to information that represents an individual's psychological reactions and mood, and is evaluated through facial expressions and voice.

[0801] "Appropriate response" means the best course of action or measure required under specific circumstances.

[0802] "Means of real-time notification" refers to functions or technologies for immediately conveying information to relevant parties.

[0803] To implement this invention, the first step is to select the hardware and software that constitute the entire system. Since data is exchanged seamlessly between the server, terminals, and users, operation in an environment with a secure network connection is fundamental. The server acts as an information recording device, registering meeting and service reservation information in a database and providing a function to confirm the availability of reservations.

[0804] The terminal is equipped with input devices such as a camera and microphone, which can capture the facial expressions and voices of participants and customers. This allows the system to use an emotion analysis engine to identify emotional states in real time and determine appropriate responses based on the results. Specific software options include emotion analysis tools such as the Affectiva API.

[0805] Users receive real-time information displayed on smart devices, such as smart glasses, and use them to interact with customers. These devices allow users to receive notifications from the system and instantly respond appropriately to the customer's emotional state. This improves the customer experience in stores and streamlines service delivery.

[0806] As a concrete example, when a customer is selecting products in a store, a staff member wearing smart glasses dynamically responds based on a prompt message such as, "Analyze the customer's current emotions from their facial expressions and tone of voice, and notify the sales staff if dissatisfaction is detected." This is a process that provides better service through real-time notifications to the user.

[0807] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0808] Step 1:

[0809] The server registers reservation information in the database via an information recording device. The input is reservation information provided by the user, and the server uses this information to refer to the database and check whether the reservation is possible. After confirmation, it sends the reservation result to the user and prepares for the next step.

[0810] Step 2:

[0811] As the meeting or service start time approaches, the terminal begins preparing to guide participants. It receives scheduled meeting information from the server as input, and the terminal provides participants with audio and visual guidance. At this point, the meeting details are displayed on the screen.

[0812] Step 3:

[0813] During meetings and services, the device captures participants' facial expressions and voices in real time via its camera and microphone. The input is the captured video and audio data, which an emotion analysis engine analyzes to identify emotional states. The emotional state is then displayed on the device in real time as output.

[0814] Step 4:

[0815] Users receive notifications about their emotional state via smart devices. The input is the analysis result from an emotion analysis engine, and the user takes appropriate action based on this. The output is often a specific change in customer service. This process optimizes customer service.

[0816] Step 5:

[0817] After a meeting or service ends, the server converts the acquired audio data into text and generates meeting minutes. The input is the audio data collected during the meeting, and the engine processes this into text data to generate the completed meeting minutes as output. These minutes can be sent to the user to help with reviewing and improving the service.

[0818] 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.

[0819] 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.

[0820] 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 robot 414.

[0821] 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.

[0822] 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.

[0823] 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.

[0824] 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.

[0825] 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.

[0826] 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."

[0827] 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.

[0828] 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.

[0829] 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.

[0830] 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.

[0831] 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.

[0832] 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.

[0833] 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.

[0834] 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.

[0835] 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.

[0836] 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.

[0837] 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.

[0838] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted as being incorporated by reference.

[0839] The following is further disclosed regarding the embodiments described above.

[0840] (Claim 1)

[0841] A method for registering meeting reservation information in a database and checking the availability of the reservation,

[0842] A means of guiding participants based on the meeting start time,

[0843] A means of presenting agenda items and managing time during a meeting,

[0844] A method for converting meeting audio data into text and generating meeting minutes,

[0845] A system that includes this.

[0846] (Claim 2)

[0847] The system according to claim 1, further comprising means for assisting the progress of a meeting based on voice instructions from participants.

[0848] (Claim 3)

[0849] The system according to claim 1, further comprising means for automatically sending meeting minutes after the meeting has ended.

[0850] "Example 1"

[0851] (Claim 1)

[0852] A means of registering meeting reservation information in a storage device and confirming whether the reservation is possible,

[0853] A means of guiding participants according to the time before the start of the meeting,

[0854] A means of presenting agenda items and managing the progress during a meeting,

[0855] A means of converting audio information from a meeting into text information and generating meeting minutes,

[0856] A means of recognizing voice commands to support the progress of a meeting,

[0857] A system that includes this.

[0858] (Claim 2)

[0859] The system according to claim 1, further comprising means for automatically sending meeting minutes after the meeting has ended.

[0860] (Claim 3)

[0861] The system according to claim 1, further comprising means for remotely updating meeting information via a communication network.

[0862] "Application Example 1"

[0863] (Claim 1)

[0864] A means of registering meeting reservation information in an information storage device and confirming whether the reservation is possible,

[0865] A means of guiding participants based on the meeting start time,

[0866] A means of presenting agenda items and managing time during a meeting,

[0867] A method for converting meeting audio data into text and generating meeting minutes,

[0868] A means of displaying visual information using a smart device,

[0869] A system that includes this.

[0870] (Claim 2)

[0871] The system according to claim 1, further comprising means for assisting the progress of a meeting based on voice instructions from participants.

[0872] (Claim 3)

[0873] The system according to claim 1, further comprising means for automatically sending meeting minutes after the meeting has ended.

[0874] "Example 2 of combining an emotion engine"

[0875] (Claim 1)

[0876] A means of registering meeting reservation information in an information recording device and confirming whether the reservation is possible,

[0877] A means of guiding participants based on the meeting start time,

[0878] A means of presenting agenda items and managing time during a meeting,

[0879] A means of using an input device to allow an emotion analysis device to analyze the emotions of participants and reflect them in the progress of the meeting,

[0880] A method for converting meeting audio data into text and generating meeting minutes,

[0881] A system that includes this.

[0882] (Claim 2)

[0883] The system according to claim 1, wherein the emotion analysis device makes suggestions to adjust the progress of the meeting based on the emotional state of the participants.

[0884] (Claim 3)

[0885] The system according to claim 1, which automatically sends meeting minutes that also record the emotional changes of the participants after the meeting has ended.

[0886] "Application example 2 of combining emotional engines"

[0887] (Claim 1)

[0888] A means of registering meeting reservation information in an information recording device and confirming whether the reservation is possible,

[0889] A means of guiding participants based on the meeting start time,

[0890] A means of presenting agenda items and managing time during a meeting,

[0891] A method for converting meeting audio data into text and generating meeting minutes,

[0892] A means of identifying an emotional state based on the analysis of a customer's facial expressions and voice,

[0893] A means of providing appropriate responses according to the identified emotional state,

[0894] A system that includes this.

[0895] (Claim 2)

[0896] The system according to claim 1, further comprising means for assisting the progress of a meeting based on voice instructions from participants.

[0897] (Claim 3)

[0898] The system according to claim 1, further comprising means for automatically sending meeting minutes after the meeting has ended. [Explanation of Symbols]

[0899] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A method for registering meeting reservation information in a database and checking the availability of the reservation, A means of guiding participants based on the meeting start time, A means of presenting agenda items and managing time during a meeting, A method for converting meeting audio data into text and generating meeting minutes, A system that includes this.

2. The system according to claim 1, further comprising means for supporting the progress of a meeting based on voice instructions from participants.

3. The system according to claim 1, further comprising means for automatically sending meeting minutes after the meeting has ended.

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