system

Abstract

We provide the system. [Solution] A speech recognition means that receives audio data and extracts relevant procedural information from said audio data, A monitoring means that acquires environmental information from multiple motion sensors and determines conditions for facilitating a procedure based on said environmental information, A means of providing information to remind users based on the deadline and importance of the procedure, A document generation method that automatically generates documents for administrative procedures by referring to user information saved in the past, A means of obtaining user approval through electronic signatures and completing procedures online, 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 method for controlling a persona chatbot, which is performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In modern aging societies, many elderly people find administrative procedures at local government offices cumbersome, and in particular, the lack of awareness of the need for procedures is a major problem. Since it is difficult for the elderly to consciously grasp the procedures themselves and keep deadlines, there is a need for a new system that enables them to complete administrative procedures comfortably.

Means for Solving the Problems

[0005] This invention provides a function that receives user voice data using voice recognition means and extracts relevant procedural information. Furthermore, by acquiring environmental information through monitoring means and determining conditions that facilitate the procedure, it realizes a system that integrates into the user's daily life. As an information presentation means, it provides reminders according to the procedure's deadline and importance, ensuring the user does not forget to complete the procedure. In addition, it provides a series of means for automatically generating necessary documents from past user information using document generation means and completing the procedure online with an electronic signature. This allows elderly individuals to complete administrative procedures in a natural flow without requiring any special actions.

[0006] "Speech recognition means" refers to a device or program that receives speech data from a user and converts it into text data or meaningful information.

[0007] A "monitoring device" is a device or system that analyzes environmental information acquired from multiple motion sensors and provides appropriate instructions or guidance to the user based on specific conditions.

[0008] An "information presentation means" is a device or program that notifies users of the deadline and importance of procedures and reminds them of necessary procedures and actions.

[0009] A "document generation means" is a device or program that automatically creates necessary administrative procedure documents by referring to information stored in the past.

[0010] An "electronic signature" is a technology that allows users to electronically sign documents, and is used to indicate approval or acceptance of online procedures. [Brief explanation of the drawing]

[0011] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of the data processing device and smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention]

[0012] Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings.

[0013] First, let's explain the terminology used in the following explanation.

[0014] In the following embodiments, the labeled processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0015] In the following embodiments, the labeled RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0016] In the following embodiments, the labeled storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like.

[0017] In the following embodiments, the labeled communication I / F (Interface) is an interface including a communication processor and an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark), and the like.

[0018] 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."

[0019] [First Embodiment]

[0020] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0021] 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.

[0022] 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).

[0023] 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.

[0024] 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.

[0025] 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.

[0026] 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.

[0027] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0028] 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.

[0029] 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.

[0030] 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.

[0031] 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".

[0032] This invention provides a system that allows users to naturally complete administrative procedures in their daily lives without taking any special actions. This system combines voice recognition technology, environmental monitoring technology, information notification technology, automatic document generation technology, and electronic signature technology.

[0033] When a user speaks into a voice assistant terminal installed in their home, the terminal recognizes the voice and extracts relevant procedural information. For example, if a user says, "I need to remember my health checkup next month," the terminal recognizes that there is a procedure related to the health checkup and sends the information to the server.

[0034] The server searches a database based on the received voice data to identify the administrative procedures required by the user. Once the procedures are identified, the information is sent to the terminal, which displays a reminder to the user based on the deadline and importance of the procedure. The reminder is also sent in conjunction with the user's mobile devices and wearable devices that they use daily.

[0035] Furthermore, sensors connected to the device continuously monitor indoor temperature, humidity, and operating status, providing information to facilitate procedures according to the living environment. For example, if the temperature is abnormally high, health-related procedures can be prioritized and reminders can be sent.

[0036] Next, the server references previously stored user information and automatically generates the necessary documents. Information picked from the database is reflected in the documents, which the user can then review on their device. After confirming the accuracy of the documents, the user electronically signs them, and the device submits the documents online through the server.

[0037] Thus, this invention provides a system that allows elderly people to naturally complete administrative procedures in their daily lives without consciously managing them. Its aim is to reduce the burden on users and support a safer and more efficient life.

[0038] The following describes the processing flow.

[0039] Step 1:

[0040] The user engages in everyday conversation with the smart speaker. For example, they might say, "Do I need to submit the application by next month?"

[0041] Step 2:

[0042] The device receives the voice data and converts it into text using its built-in speech recognition system. It then extracts important keywords (e.g., application, next month) and sends them to the server.

[0043] Step 3:

[0044] The server analyzes the received text data and searches the database. It identifies whether there are any relevant administrative procedures and retrieves the relevant information.

[0045] Step 4:

[0046] The server sends details of the relevant procedure (e.g., application deadline, required documents) to the terminal and prepares to notify the user as a reminder.

[0047] Step 5:

[0048] The device sends notifications to the user's mobile device or wearable device. These notifications include deadlines for procedures and messages prompting completion of any incomplete procedures.

[0049] Step 6:

[0050] Environmental sensors connected to the terminal continuously monitor the room's temperature, humidity, and operation. If an anomaly is detected, the information is sent to the server and prepared to notify the user.

[0051] Step 7:

[0052] The server automatically generates the necessary documents for administrative procedures based on user information. If any necessary information exists, it is all reflected in the documents.

[0053] Step 8:

[0054] The user reviews the automatically generated document through their device. If the content is correct, they can easily electronically sign it and approve its online submission.

[0055] Step 9:

[0056] The terminal receives the user's digital signature, sends the document to the server, and completes the application process. The server registers the results and prepares to send a result notification to the user.

[0057] (Example 1)

[0058] 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."

[0059] The present invention aims to provide a system that allows users, including the elderly, to naturally complete complex administrative procedures in their daily lives without consciously managing them. Currently, administrative procedures are often burdensome for users, and for the elderly in particular, managing the progress of procedures and preparing necessary documents can be difficult. This can lead to delays or failures in administrative procedures.

[0060] 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.

[0061] In this invention, the server includes recognition means for receiving voice information and extracting relevant procedural information from the voice information; monitoring means for acquiring environmental data from a detection device and determining conditions for facilitating the procedure based on the environmental data; and presentation means for presenting information based on the date and importance of the procedure and reminding the user. This enables the user to complete administrative procedures efficiently and reliably without requiring conscious management.

[0062] "Audio information" refers to information that uses acoustic signals to process the content of a user's speech as digital data.

[0063] "Recognition means" refers to a device or technology that analyzes audio information and extracts related procedural information.

[0064] A "detection device" is a sensor device that senses and acquires data about the surrounding environment.

[0065] "Environmental data" refers to data that indicates the current environmental conditions, including indoor and outdoor temperature, humidity, sound, and light.

[0066] "Monitoring measures" refer to devices or systems that determine conditions for facilitating procedures based on acquired environmental data.

[0067] A "notification method" is a mechanism that visually or audibly notifies users of the deadline and importance of a procedure.

[0068] "User" refers to a person who operates or uses this system.

[0069] "Generation means" refers to a system or program that automatically creates necessary administrative procedural documents based on user information.

[0070] An "electronic signature" is an electronic signature method used to indicate a user's approval of digital information.

[0071] This system is designed to allow users to complete administrative procedures in their daily lives without conscious management. The system consists of terminals equipped with voice assistants, a server that manages central data, and a database that records user information.

[0072] Devices equipped with voice assistants analyze the user's speech using speech recognition technology. Specifically, they recognize voice information collected through a microphone and analyze this data using natural language processing technology. For example, a commonly used type of speech recognition software is a product equipped with a voice engine. This allows for the extraction of relevant procedural information.

[0073] The terminal sends information obtained through voice recognition to the server. The server searches its database based on the received information and identifies the relevant procedure. Furthermore, the server automatically generates the necessary documents using the user's past information. This automatic generation may utilize a generative AI model. The generated documents are provided to the user via the terminal, and the user reviews the content and then electronically signs them. The terminal then completes the procedure online via the server. Advanced security technology is applied to the electronic signature.

[0074] Furthermore, a detection device equipped with environmental monitoring capabilities is connected to the terminal, continuously acquiring indoor environmental data. This data is used to adjust the priority of procedures, so if the environment is related to the user's health, health-related procedures can be reminded preferentially.

[0075] For example, if a user says to the terminal, "Don't forget about my health checkup next month," the system will determine that there is a procedure related to the health checkup. The server will identify the necessary procedures and, if necessary, automatically generate documents for scheduling the health checkup. The user will then review the documents through the terminal, electronically sign them, and complete the procedure.

[0076] An example of a prompt to input into the generating AI model might be: "Explain the flow of a system that notifies the user of the necessary administrative procedures and automatically generates the documents when the user mentions a health checkup to the voice assistant."

[0077] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0078] Step 1:

[0079] When a "user" speaks to the voice assistant "terminal," the "terminal" receives the voice information as input. The "terminal" converts the voice obtained through the microphone into text data using speech recognition software. This digitizes the user's speech and prepares it for the next processing step.

[0080] Step 2:

[0081] The "terminal" takes text data generated by speech recognition as input and uses natural language processing technology to extract relevant procedural information. This process analyzes keywords and related terms within the text to identify administrative procedures of interest. For example, it identifies keywords such as "health checkup" and passes the related information to the next step.

[0082] Step 3:

[0083] The "terminal" outputs the extracted procedural information and sends it to the "server." This data includes elements necessary to identify the procedure. The server receives this information as input and retrieves the relevant administrative procedure as output by searching its database. Based on this data, it identifies the necessary procedural information.

[0084] Step 4:

[0085] The "server" automatically generates the necessary documents based on identified procedural information and references past user information. Using a generation AI model, it generates the documents and sends the output to the "terminal" for user review. This reduces the burden on users and makes document preparation more efficient.

[0086] Step 5:

[0087] The "terminal" presents the generated document to the user and prompts them to review its contents. The user reviews the document on the terminal or a dedicated device and provides an electronic signature. This review and signature is necessary to obtain accurate approval from the user and to proceed to the next procedural step.

[0088] Step 6:

[0089] The "terminal" sends the electronically signed document as output to the "server," which completes the process online. Confirmation information indicating the completion of the process is sent to the user via the "terminal." This ensures that all necessary procedures are completed electronically, eliminating any physical burden on the user.

[0090] (Application Example 1)

[0091] 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."

[0092] There is a need for elderly people and those requiring care to be able to efficiently and safely complete health management and necessary administrative procedures without having to consciously think about it. In particular, it is important to provide a system that naturally supports these procedures in daily life. The goal is to create a safe and comfortable living environment by reducing the burden on elderly people to manage complex procedures themselves.

[0093] 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.

[0094] In this invention, the server includes voice recognition means for receiving voice data and extracting relevant procedural information from the voice data; monitoring means for acquiring environmental information from multiple motion sensors and determining conditions for facilitating the procedure based on the environmental information; and information presentation means for notifying and reminding the user based on the date and importance of the procedure. This makes it possible for the user to complete the procedure naturally in their daily life without taking any special actions.

[0095] A "voice recognition means" is a device that receives voice data from a user, analyzes its content, and extracts relevant procedural information.

[0096] A "monitoring device" is a device that uses multiple motion sensors to acquire environmental information and has the function of determining environmental conditions necessary to facilitate a procedure based on that information.

[0097] An "information presentation device" is a device that has the function of notifying and reminding users based on the deadline and importance of a procedure.

[0098] A "document generation means" is a device that has the function of automatically generating necessary administrative documents by referring to user information stored in the past.

[0099] An "electronic signature device" is a device that has the function of electronically receiving approval from a user and completing a procedure online.

[0100] A "health management device" is a device that monitors the user's health status in the field of elderly care and dynamically sets the priority of health management procedures based on that status.

[0101] A "visual information presentation means" is a device that has the function of displaying necessary procedural information on the user's visual device.

[0102] The system for implementing this invention combines speech recognition technology, sensor-based environmental monitoring technology, information presentation technology, automatic document generation technology, and electronic signature technology. The central components of the system are the server and terminals (user voice assistant devices and smart devices).

[0103] The server is located in the cloud, receives audio data, and converts it into text using a speech recognition engine (specifically, Google® Speech-to-Text API). This text data is then analyzed using a natural language processing library (e.g., NLTK) to extract relevant procedural information. Next, the server consults a database to search for the relevant procedure and automatically generates the necessary information and documents.

[0104] The device receives voice input from the user and acquires environmental information using sensors. Data such as temperature and operating status is collected through multiple sensors, and conditional decisions are made based on this data using monitoring devices. This information is notified to the user in real time and presented to them through visual information display devices via smart glasses or smartphones.

[0105] The user reviews the procedure details on their device and approves it using an electronic signature. This completes the procedure online. For example, regarding a health checkup appointment, the user simply says, "I need to book my next health checkup," and the system automatically proceeds with the booking process, generates the relevant documents, and presents them to the user.

[0106] Examples of prompts for generative AI models:

[0107] "Please explain the steps to automatically process a request for a health checkup appointment based on voice input."

[0108] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0109] Step 1:

[0110] The device receives voice input from the user via its microphone. It then sends the received voice data to a server in the cloud. The input is raw voice data, and the output is the data sent to the server.

[0111] Step 2:

[0112] The server converts the received audio data into text data using a speech recognition engine. The Google Speech-to-Text API is used for this conversion. The input is audio data, and the output is the converted text data.

[0113] Step 3:

[0114] The server analyzes the generated text data using a natural language processing engine (NLTK). This analysis extracts procedural information. The input is text data, and the output is the extracted procedural information.

[0115] Step 4:

[0116] The server queries the database based on the extracted procedural information to find the relevant administrative procedure. The input is procedural information, and the output is specific procedural information obtained through the search.

[0117] Step 5:

[0118] The server automatically generates the necessary documents using procedural information and the user's past information. The documents are generated using a PDF generation library (FPDF). The input is procedural information and user information, and the output is the generated document.

[0119] Step 6:

[0120] The terminal displays the generated document to the user on its screen. The user reviews it and provides an electronic signature. The input is the generated document, and the output is the user's electronic signature.

[0121] Step 7:

[0122] The server sends electronically signed documents online and completes the specified administrative procedures. The input is the electronically signed documents, and the output is the completion of the online procedure.

[0123] 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.

[0124] This invention is realized by combining an emotion engine with a system that allows users to naturally complete administrative procedures in their daily lives without taking any special actions. The emotion engine has the function of recognizing the user's emotional state by analyzing the user's voice tone, word choice, and facial expression data.

[0125] When a user communicates information by voice using a smart speaker, the device converts the voice into text data using speech recognition technology, and then uses an emotion engine to estimate the user's emotions from their speech. For example, if it analyzes a voice saying, "Why is the application process so complicated?", and detects frustration, the system will provide support or reminders tailored to that emotion.

[0126] Next, the server searches the database for relevant procedures based on the voice data and adjusts the timing and content of notifications, taking into account the output of the emotion engine. For example, when the user is relaxed, it will notify them of priority procedures to encourage a smooth response. Alternatively, if the user is stressed, the server can adjust the notification content to be concise and gentle.

[0127] For environmental monitoring, the terminal is equipped with motion sensors to track changes in the indoor environment in real time. When an anomaly is detected, the information is sent to the server, and the priority of the procedure can be changed. Furthermore, documents are automatically generated based on past user information, and procedures can be completed offline with electronic signatures.

[0128] For example, if a user says, "I'm anxious about preparing for the next application," the emotion engine will sense that anxiety. The device will then suggest starting with a simple procedure at a time that will help the user calm down and provide support.

[0129] This invention aims to create a safer and more comfortable living environment for the elderly by not only enabling them to complete administrative procedures in a natural way, but also by providing emotional support.

[0130] The following describes the processing flow.

[0131] Step 1:

[0132] The user speaks to the smart speaker. For example, they might say, "I think I should probably check on the application form soon."

[0133] Step 2:

[0134] The device receives the user's voice and converts it into text data using its built-in speech recognition system. Simultaneously, an emotion engine analyzes the user's emotional state from the tone of voice and the words used.

[0135] Step 3:

[0136] The server searches the database for relevant procedural information based on the text data obtained through speech recognition. It then utilizes the output of the emotion engine to determine the most appropriate procedure and timing for the user's emotions.

[0137] Step 4:

[0138] The server sends the identified procedural information and reminder content corresponding to the user's emotions to the device. The content and timing of the notification are optimized according to the user's emotions.

[0139] Step 5:

[0140] The device sends a notification to the user's mobile device or wearable device, providing information about the procedure. The notification includes emotionally sensitive guidance and support.

[0141] Step 6:

[0142] Motion sensors connected to the terminal monitor the room temperature and movement, detecting anomalies and changes. The detected information is sent to a server, which adjusts the priority of procedures and responses as needed.

[0143] Step 7:

[0144] The server automatically generates the necessary documents by referencing past user information. These documents include important notes and confirmations that take into account the user's emotional state.

[0145] Step 8:

[0146] The user reviews the document generated via their device. If there are no problems with the content, they electronically sign it and approve the document for online submission.

[0147] Step 9:

[0148] The terminal receives the user's digital signature, sends the document and related information to the server, and completes the process. The user is notified of the completion and guided on the next steps.

[0149] (Example 2)

[0150] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0151] Traditional administrative procedure systems often caused anxiety and frustration for users who frequently used the system, resulting in delays in procedures. Furthermore, the inability to adapt to changing circumstances and the failure to adjust procedure priorities and content hindered efforts to reduce user burden. The uniform notification system, which disregarded users' emotional states, also exacerbated the problem.

[0152] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0153] In this invention, the server includes a speech recognition means for receiving voice data and extracting relevant procedural information from the voice data; an emotion recognition means for performing emotion analysis and adjusting the timing and content of notifications based on the emotion analysis; and a document generation means for automatically generating documents for administrative procedures by referring to previously stored user information. This enables flexible and effective procedural guidance that takes into account the user's emotional state, and the rapid and appropriate generation of deliverables.

[0154] "Speech recognition means" refers to technology that receives voice data from a user and converts that voice data into text data.

[0155] "Monitoring methods" refer to technologies that use multiple sensors to acquire environmental information and use that information to determine specific conditions.

[0156] "Information presentation means" refers to technologies that provide users with notifications and reminders based on the deadline and importance of procedures.

[0157] "Document generation means" refers to technology that automatically creates necessary administrative documents by referring to user information stored in the past.

[0158] This is a method of obtaining user approval through "electronic signatures" and completing procedures online.

[0159] "Emotion recognition means" refers to a technology that analyzes the user's tone of voice and word choice to estimate their emotional state, and then adjusts the timing and content of notifications based on the results.

[0160] As an embodiment of the present invention, this system assists users in carrying out administrative procedures more smoothly. This system combines multiple functions, such as speech recognition, emotion recognition, database search, and document generation.

[0161] First, when a user inputs information by voice using a smart speaker or similar device, the device captures that voice data. Next, speech recognition software such as Google Speech-to-Text is used to convert the voice into text data. The converted text data is then sent to a server.

[0162] The server analyzes the received text data and uses emotion recognition technologies such as Microsoft® Azure® Emotion API to determine the user's emotional state. For example, if a user says, "I'm anxious about preparing for the next application," the server can recognize that anxiety. Based on this information, the server adjusts the timing and content of notifications.

[0163] The server searches the database to identify relevant administrative procedures. Database management is often handled by systems like PostgreSQL. Based on previously stored user information, the system automatically generates the necessary administrative documents.

[0164] The terminal is equipped with motion sensors and uses devices such as Arduino and Raspberry Pi to monitor changes in the indoor environment in real time. If an anomaly is detected, it is possible to adjust the priority of the procedure. Furthermore, users can approve documents online using electronic signatures and complete the procedure.

[0165] For example, if a user says, "I'm worried about preparing the next application," the terminal will sense this anxiety, and the server will use that information to provide an approach to smoothly proceed with the procedure. An example of a prompt using the generated AI model would be, "Please tell me a list of recommended procedures in case the user is suspected to be feeling anxious." In this way, the present invention aims to provide a less stressful procedural experience for the user.

[0166] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0167] Step 1:

[0168] The user speaks information about administrative procedures into the smart speaker. This voice is received as input by the device. The device uses the smart speaker's built-in microphone to capture the voice data.

[0169] Step 2:

[0170] The device uses speech recognition technology, such as Google Speech-to-Text, to convert the received audio data into text data. This conversion process outputs the audio signal as text information. Specifically, the audio is converted into the text "Why is the application process so troublesome?"

[0171] Step 3:

[0172] The terminal sends the converted text data to the server. This text data arrives at the server as input, and the server starts emotion recognition processing based on its content. Using the Microsoft Azure Emotion API, the user's emotional state is output. At this stage, an emotion recognition result indicating "irritation" is generated.

[0173] Step 4:

[0174] The server searches the database for relevant procedures based on the sentiment analysis results. Using a database management system like PostgreSQL, it extracts procedure information based on text and sentiment states. This search result is provided as output. This information is then used to generate the notification content for the next step.

[0175] Step 5:

[0176] The server adjusts the timing and content of notifications based on procedural information and emotional state results. Reminders are generated using the information presentation method, and the content is made concise and considerate, with particular attention paid to the user's frustration level. This notification is then sent to the user's device as the final output.

[0177] Step 6:

[0178] The terminal uses motion sensors to monitor the indoor environment. When the sensors detect an anomaly, they send that information to the server as input, and the procedure priority is reviewed. The results of this environmental monitoring by the sensors are used as additional data for adjusting procedures.

[0179] Step 7:

[0180] The server generates the necessary documents for the user's administrative procedures based on relevant information. Referencing past user information, the generated documents are provided to the user. As a final output, the user completes the procedure online using an electronic signature. This ensures the entire procedure is completed smoothly.

[0181] (Application Example 2)

[0182] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0183] In administrative procedures, users may experience frustration and anxiety because they receive notifications uniformly without considering their emotional state. Furthermore, the lack of timely notifications and procedural adjustments can cause delays in the process. Additionally, there is a problem in that procedures cannot proceed effectively when users are relaxed.

[0184] 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.

[0185] In this invention, the server includes a voice recognition means for receiving voice data and extracting procedural information, a monitoring means for acquiring environmental information from multiple sensors and determining procedural conditions, a document generation means for automatically generating documents by referring to past user information, and an emotion engine means for analyzing emotional states and optimizing notifications. This makes it possible to provide notifications and adjust procedures at the optimal timing based on the user's emotions.

[0186] "Speech recognition means" refers to a device or method that receives speech data and extracts and analyzes useful information from that data.

[0187] "Monitoring methods" refer to technologies that use sensors to collect information in order to understand environmental conditions and to make specific decisions based on that information.

[0188] "Information presentation means" refers to methods or devices used to notify or remind users, and their role is to provide information based on the schedule and importance of procedures.

[0189] A "document generation method" is a technology that collects necessary information based on past data and automatically creates documents suitable for a specific purpose.

[0190] An "electronic signature" is a digital signature used to approve procedures online, and is a method of securing user consent.

[0191] An "emotional engine means" is a device or method for analyzing a user's emotional state from information such as voice and facial expressions, and taking appropriate action based on the results.

[0192] This invention provides a smart system that automatically streamlines administrative procedures by allowing users to casually emit voice data. The main components of the system include voice recognition means, monitoring means, information presentation means, document generation means, electronic signature function, and emotion engine means.

[0193] The server receives voice data from the user via the microphone built into the smartphone or smart speaker, and converts it into text data using speech recognition technology. The software used includes the speech_recognition library, which can quickly and accurately extract information from the voice.

[0194] The speech-recognized data is then sent to the emotion engine, which analyzes the user's emotional state based on their speech content and tone. This process utilizes an emotion analysis pipeline based on the Transformers library as the emotion analysis model. This allows the system to determine whether the user is stressed, relaxed, or otherwise emotionally vulnerable.

[0195] As the user proceeds with the procedure, the monitoring system aggregates indoor environment data from multiple sensors and makes a determination of the conditions necessary for the appropriate procedure. This determines the optimal timing for sending notifications. The terminal then considers the results of the emotion engine and presents information to the user's smartphone at the most opportune moment.

[0196] Furthermore, the server retrieves past user information from the database and automatically generates the necessary procedural documents. The generated documents are then approved online via the user's electronic signature, completing the process.

[0197] For example, if a user says on their way home from work, "I'm worried about the application due next week," this system uses an emotion engine to sense the user's anxiety and, at a calm moment, provides details of the procedure and offers support suggestions. Another example of a specific prompt is, "How would a virtual assistant provide emotional support when I feel anxious about the next procedure?"

[0198] This will create an environment where users can naturally perform administrative procedures as part of their daily lives.

[0199] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0200] Step 1:

[0201] The server receives audio data as input through the terminal's microphone. Using speech recognition technology, it converts this audio data into text data. This process allows for the digital analysis of the user's speech.

[0202] Step 2:

[0203] The server inputs the analyzed text data into an emotion engine. Using a generative AI model, it analyzes the content and tone of speech to identify the user's emotional state (e.g., anxiety, stress, relaxation). This output determines the next action based on that emotion.

[0204] Step 3:

[0205] The device transmits environmental information acquired from multiple motion sensors to the server. The server analyzes the environmental conditions using monitoring tools based on this information and determines the optimal timing for notifications. Here, factors such as room temperature and ambient noise levels are considered to evaluate whether the environment reduces user stress.

[0206] Step 4:

[0207] Based on the results of the emotion engine and the analysis of environmental information, the server retrieves past user information from the database and automatically generates the necessary procedural documents. This ensures that the most appropriate documents are created for each type of procedure.

[0208] Step 5:

[0209] The server sends the generated procedural documents to the user's terminal. The terminal displays an interface for the user to enter an electronic signature, and the user signs the documents. Once this process is complete, the server completes the procedure online.

[0210] Step 6:

[0211] The device generates prompt messages to display notifications or procedural guidance tailored to the user's mood. For example, it can provide guidance using friendly language such as, "We will inform you about the next application procedure when you are relaxed." This allows users to proceed with the process naturally without feeling burdened.

[0212] 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.

[0213] 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.

[0214] 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.

[0215] [Second Embodiment]

[0216] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0217] 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.

[0218] 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).

[0219] 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.

[0220] 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.

[0221] 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).

[0222] 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.

[0223] 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.

[0224] 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.

[0225] 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.

[0226] 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.

[0227] 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".

[0228] This invention provides a system that allows users to naturally complete administrative procedures in their daily lives without taking any special actions. This system combines voice recognition technology, environmental monitoring technology, information notification technology, automatic document generation technology, and electronic signature technology.

[0229] When a user speaks into a voice assistant terminal installed in their home, the terminal recognizes the voice and extracts relevant procedural information. For example, if a user says, "I need to remember my health checkup next month," the terminal recognizes that there is a procedure related to the health checkup and sends the information to the server.

[0230] The server searches a database based on the received voice data to identify the administrative procedures required by the user. Once the procedures are identified, the information is sent to the terminal, which displays a reminder to the user based on the deadline and importance of the procedure. The reminder is also sent in conjunction with the user's mobile devices and wearable devices that they use daily.

[0231] Furthermore, sensors connected to the device continuously monitor indoor temperature, humidity, and operating status, providing information to facilitate procedures according to the living environment. For example, if the temperature is abnormally high, health-related procedures can be prioritized and reminders can be sent.

[0232] Next, the server references previously stored user information and automatically generates the necessary documents. Information picked from the database is reflected in the documents, which the user can then review on their device. After confirming the accuracy of the documents, the user electronically signs them, and the device submits the documents online through the server.

[0233] Thus, this invention provides a system that allows elderly people to naturally complete administrative procedures in their daily lives without consciously managing them. Its aim is to reduce the burden on users and support a safer and more efficient life.

[0234] The following describes the processing flow.

[0235] Step 1:

[0236] The user engages in everyday conversation with the smart speaker. For example, they might say, "Do I need to submit the application by next month?"

[0237] Step 2:

[0238] The device receives the voice data and converts it into text using its built-in speech recognition system. It then extracts important keywords (e.g., application, next month) and sends them to the server.

[0239] Step 3:

[0240] The server analyzes the received text data and searches the database. It identifies whether there are any relevant administrative procedures and retrieves the relevant information.

[0241] Step 4:

[0242] The server sends details of the relevant procedure (e.g., application deadline, required documents) to the terminal and prepares to notify the user as a reminder.

[0243] Step 5:

[0244] The device sends notifications to the user's mobile device or wearable device. These notifications include deadlines for procedures and messages prompting completion of any incomplete procedures.

[0245] Step 6:

[0246] Environmental sensors connected to the terminal continuously monitor the room's temperature, humidity, and operation. If an anomaly is detected, the information is sent to the server and prepared to notify the user.

[0247] Step 7:

[0248] The server automatically generates the necessary documents for administrative procedures based on user information. If any necessary information exists, it is all reflected in the documents.

[0249] Step 8:

[0250] The user reviews the automatically generated document through their device. If the content is correct, they can easily electronically sign it and approve its online submission.

[0251] Step 9:

[0252] The terminal receives the user's digital signature, sends the document to the server, and completes the application process. The server registers the results and prepares to send a result notification to the user.

[0253] (Example 1)

[0254] 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."

[0255] The present invention aims to provide a system that allows users, including the elderly, to naturally complete complex administrative procedures in their daily lives without consciously managing them. Currently, administrative procedures are often burdensome for users, and for the elderly in particular, managing the progress of procedures and preparing necessary documents can be difficult. This can lead to delays or failures in administrative procedures.

[0256] 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.

[0257] In this invention, the server includes recognition means for receiving voice information and extracting relevant procedural information from the voice information; monitoring means for acquiring environmental data from a detection device and determining conditions for facilitating the procedure based on the environmental data; and presentation means for presenting information based on the date and importance of the procedure and reminding the user. This enables the user to complete administrative procedures efficiently and reliably without requiring conscious management.

[0258] "Audio information" refers to information that uses acoustic signals to process the content of a user's speech as digital data.

[0259] "Recognition means" refers to a device or technology that analyzes audio information and extracts related procedural information.

[0260] A "detection device" is a sensor device that senses and acquires data about the surrounding environment.

[0261] "Environmental data" refers to data that indicates the current environmental conditions, including indoor and outdoor temperature, humidity, sound, and light.

[0262] "Monitoring measures" refer to devices or systems that determine conditions for facilitating procedures based on acquired environmental data.

[0263] A "notification method" is a mechanism that visually or audibly notifies users of the deadline and importance of a procedure.

[0264] "User" refers to a person who operates or uses this system.

[0265] "Generation means" refers to a system or program that automatically creates necessary administrative procedural documents based on user information.

[0266] An "electronic signature" is an electronic signature method used to indicate a user's approval of digital information.

[0267] This system is designed to allow users to complete administrative procedures in their daily lives without conscious management. The system consists of terminals equipped with voice assistants, a server that manages central data, and a database that records user information.

[0268] Devices equipped with voice assistants analyze the user's speech using speech recognition technology. Specifically, they recognize voice information collected through a microphone and analyze this data using natural language processing technology. For example, a commonly used type of speech recognition software is a product equipped with a voice engine. This allows for the extraction of relevant procedural information.

[0269] The terminal sends information obtained through voice recognition to the server. The server searches its database based on the received information and identifies the relevant procedure. Furthermore, the server automatically generates the necessary documents using the user's past information. This automatic generation may utilize a generative AI model. The generated documents are provided to the user via the terminal, and the user reviews the content and then electronically signs them. The terminal then completes the procedure online via the server. Advanced security technology is applied to the electronic signature.

[0270] Furthermore, a detection device equipped with environmental monitoring capabilities is connected to the terminal, continuously acquiring indoor environmental data. This data is used to adjust the priority of procedures, so if the environment is related to the user's health, health-related procedures can be reminded preferentially.

[0271] For example, if a user says to the terminal, "Don't forget about my health checkup next month," the system will determine that there is a procedure related to the health checkup. The server will identify the necessary procedures and, if necessary, automatically generate documents for scheduling the health checkup. The user will then review the documents through the terminal, electronically sign them, and complete the procedure.

[0272] An example of a prompt to input into the generating AI model might be: "Explain the flow of a system that notifies the user of the necessary administrative procedures and automatically generates the documents when the user mentions a health checkup to the voice assistant."

[0273] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0274] Step 1:

[0275] When a "user" speaks to the voice assistant "terminal," the "terminal" receives the voice information as input. The "terminal" converts the voice obtained through the microphone into text data using speech recognition software. This digitizes the user's speech and prepares it for the next processing step.

[0276] Step 2:

[0277] The "terminal" takes text data generated by speech recognition as input and uses natural language processing technology to extract relevant procedural information. This process analyzes keywords and related terms within the text to identify administrative procedures of interest. For example, it identifies keywords such as "health checkup" and passes the related information to the next step.

[0278] Step 3:

[0279] The "terminal" outputs the extracted procedural information and sends it to the "server." This data includes elements necessary to identify the procedure. The server receives this information as input and retrieves the relevant administrative procedure as output by searching its database. Based on this data, it identifies the necessary procedural information.

[0280] Step 4:

[0281] The "server" automatically generates the necessary documents based on identified procedural information and references past user information. Using a generation AI model, it generates the documents and sends the output to the "terminal" for user review. This reduces the burden on users and makes document preparation more efficient.

[0282] Step 5:

[0283] The "terminal" presents the generated document to the user and prompts for content confirmation. The user checks the document using the terminal or a dedicated device and performs an electronic signature. This confirmation and signature are for accurately obtaining approval from the user and are necessary for proceeding to the next procedural step.

[0284] Step 6:

[0285] The "terminal" transmits the electronically signed document to the "server" as an output, and the server completes the procedure online. Confirmation information indicating that the procedure has been completed is notified to the user through the "terminal". As a result, all necessary procedures are electronically completed, eliminating the physical burden on the user.

[0286] (Application Example 1)

[0287] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0288] There is a need for the elderly and users requiring care to efficiently and safely complete health management and necessary administrative procedures without their awareness. In particular, it is important to provide a system that naturally supports these procedures in daily life. The aim is to create a safe and comfortable living environment by reducing the burden on the elderly of managing complex procedures themselves.

[0289] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following respective means.

[0290] In this invention, the server includes voice recognition means for receiving voice data and extracting relevant procedural information from the voice data; monitoring means for acquiring environmental information from multiple motion sensors and determining conditions for facilitating the procedure based on the environmental information; and information presentation means for notifying and reminding the user based on the date and importance of the procedure. This makes it possible for the user to complete the procedure naturally in their daily life without taking any special actions.

[0291] A "voice recognition means" is a device that receives voice data from a user, analyzes its content, and extracts relevant procedural information.

[0292] A "monitoring device" is a device that uses multiple motion sensors to acquire environmental information and has the function of determining environmental conditions necessary to facilitate a procedure based on that information.

[0293] An "information presentation device" is a device that has the function of notifying and reminding users based on the deadline and importance of a procedure.

[0294] A "document generation means" is a device that has the function of automatically generating necessary administrative documents by referring to user information stored in the past.

[0295] An "electronic signature device" is a device that has the function of electronically receiving approval from a user and completing a procedure online.

[0296] A "health management device" is a device that monitors the user's health status in the field of elderly care and dynamically sets the priority of health management procedures based on that status.

[0297] A "visual information presentation means" is a device that has the function of displaying necessary procedural information on the user's visual device.

[0298] The system for implementing this invention combines speech recognition technology, sensor-based environmental monitoring technology, information presentation technology, automatic document generation technology, and electronic signature technology. The central components of the system are the server and terminals (user voice assistant devices and smart devices).

[0299] The server is located in the cloud, receives audio data, and converts it to text using a speech recognition engine (specifically, the Google Speech-to-Text API). This text data is then analyzed using a natural language processing library (e.g., NLTK) to extract relevant procedural information. Next, the server consults a database to search for the relevant procedures and automatically generates the necessary information and documents.

[0300] The device receives voice input from the user and acquires environmental information using sensors. Data such as temperature and operating status is collected through multiple sensors, and conditional decisions are made based on this data using monitoring devices. This information is notified to the user in real time and presented to them through visual information display devices via smart glasses or smartphones.

[0301] The user reviews the procedure details on their device and approves it using an electronic signature. This completes the procedure online. For example, regarding a health checkup appointment, the user simply says, "I need to book my next health checkup," and the system automatically proceeds with the booking process, generates the relevant documents, and presents them to the user.

[0302] Examples of prompts for generative AI models:

[0303] "Please explain the steps to automatically process a request for a health checkup appointment based on voice input."

[0304] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0305] Step 1:

[0306] The terminal receives voice input from the user via the microphone. The received voice data is transmitted to a server on the cloud. The input is raw voice data, and the output is the transmission to the server.

[0307] Step 2:

[0308] The server converts the received voice data into text data using a speech recognition engine. The Google Speech-to-Text API is utilized for the conversion. The input is voice data, and the output is the converted text data.

[0309] Step 3:

[0310] The server analyzes the generated text data using a natural language processing engine (NLTK). Through this analysis, procedure information is extracted. The input is text data, and the output is the extracted procedure information.

[0311] Step 4:

[0312] The server queries the database based on the extracted procedure information to search for the corresponding administrative procedure. The input is the procedure information, and the output is the specific procedure information obtained from the search.

[0313] Step 5:

[0314] The server automatically generates using the procedure information and the user's past information to create the necessary documents. The documents are generated using a PDF generation library (FPDF). The input is the procedure information and user information, and the output is the generated documents.

[0315] Step 6:

[0316] The terminal displays the generated document to the user on its screen. The user reviews it and provides an electronic signature. The input is the generated document, and the output is the user's electronic signature.

[0317] Step 7:

[0318] The server sends electronically signed documents online and completes the specified administrative procedures. The input is the electronically signed documents, and the output is the completion of the online procedure.

[0319] 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.

[0320] This invention is realized by combining an emotion engine with a system that allows users to naturally complete administrative procedures in their daily lives without taking any special actions. The emotion engine has the function of recognizing the user's emotional state by analyzing the user's voice tone, word choice, and facial expression data.

[0321] When a user communicates information by voice using a smart speaker, the device converts the voice into text data using speech recognition technology, and then uses an emotion engine to estimate the user's emotions from their speech. For example, if it analyzes a voice saying, "Why is the application process so complicated?", and detects frustration, the system will provide support or reminders tailored to that emotion.

[0322] Next, the server searches the database for relevant procedures based on the voice data and adjusts the timing and content of notifications, taking into account the output of the emotion engine. For example, when the user is relaxed, it will notify them of priority procedures to encourage a smooth response. Alternatively, if the user is stressed, the server can adjust the notification content to be concise and gentle.

[0323] For environmental monitoring, the terminal is equipped with motion sensors to track changes in the indoor environment in real time. When an anomaly is detected, the information is sent to the server, and the priority of the procedure can be changed. Furthermore, documents are automatically generated based on past user information, and procedures can be completed offline with electronic signatures.

[0324] For example, if a user says, "I'm anxious about preparing for the next application," the emotion engine will sense that anxiety. The device will then suggest starting with a simple procedure at a time that will help the user calm down and provide support.

[0325] This invention aims to create a safer and more comfortable living environment for the elderly by not only enabling them to complete administrative procedures in a natural way, but also by providing emotional support.

[0326] The following describes the processing flow.

[0327] Step 1:

[0328] The user speaks to the smart speaker. For example, they might say, "I think I should probably check on the application form soon."

[0329] Step 2:

[0330] The device receives the user's voice and converts it into text data using its built-in speech recognition system. Simultaneously, an emotion engine analyzes the user's emotional state from the tone of voice and the words used.

[0331] Step 3:

[0332] The server searches the database for relevant procedural information based on the text data obtained through speech recognition. It then utilizes the output of the emotion engine to determine the most appropriate procedure and timing for the user's emotions.

[0333] Step 4:

[0334] The server sends the identified procedural information and reminder content corresponding to the user's emotions to the device. The content and timing of the notification are optimized according to the user's emotions.

[0335] Step 5:

[0336] The device sends a notification to the user's mobile device or wearable device, providing information about the procedure. The notification includes emotionally sensitive guidance and support.

[0337] Step 6:

[0338] Motion sensors connected to the terminal monitor the room temperature and movement, detecting anomalies and changes. The detected information is sent to a server, which adjusts the priority of procedures and responses as needed.

[0339] Step 7:

[0340] The server automatically generates the necessary documents by referencing past user information. These documents include important notes and confirmations that take into account the user's emotional state.

[0341] Step 8:

[0342] The user reviews the document generated via their device. If there are no problems with the content, they electronically sign it and approve the document for online submission.

[0343] Step 9:

[0344] The terminal receives the user's digital signature, sends the document and related information to the server, and completes the process. The user is notified of the completion and guided on the next steps.

[0345] (Example 2)

[0346] 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".

[0347] Traditional administrative procedure systems often caused anxiety and frustration for users who frequently used the system, resulting in delays in procedures. Furthermore, the inability to adapt to changing circumstances and the failure to adjust procedure priorities and content hindered efforts to reduce user burden. The uniform notification system, which disregarded users' emotional states, also exacerbated the problem.

[0348] 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.

[0349] In this invention, the server includes a speech recognition means for receiving voice data and extracting relevant procedural information from the voice data; an emotion recognition means for performing emotion analysis and adjusting the timing and content of notifications based on the emotion analysis; and a document generation means for automatically generating documents for administrative procedures by referring to previously stored user information. This enables flexible and effective procedural guidance that takes into account the user's emotional state, and the rapid and appropriate generation of deliverables.

[0350] "Speech recognition means" refers to technology that receives voice data from a user and converts that voice data into text data.

[0351] "Monitoring methods" refer to technologies that use multiple sensors to acquire environmental information and use that information to determine specific conditions.

[0352] "Information presentation means" refers to technologies that provide users with notifications and reminders based on the deadline and importance of procedures.

[0353] "Document generation means" refers to technology that automatically creates necessary administrative documents by referring to user information stored in the past.

[0354] This is a method of obtaining user approval through "electronic signatures" and completing procedures online.

[0355] "Emotion recognition means" refers to a technology that analyzes the user's tone of voice and word choice to estimate their emotional state, and then adjusts the timing and content of notifications based on the results.

[0356] As an embodiment of the present invention, this system assists users in carrying out administrative procedures more smoothly. This system combines multiple functions, such as speech recognition, emotion recognition, database search, and document generation.

[0357] First, when a user inputs information by voice using a smart speaker or similar device, the device captures that voice data. Next, speech recognition software such as Google Speech-to-Text is used to convert the voice into text data. The converted text data is then sent to a server.

[0358] The server analyzes the received text data and uses emotion recognition technologies such as the Microsoft Azure Emotion API to determine the user's emotional state. For example, if a user says, "I'm anxious about preparing for the next application," the server can recognize that anxiety. Based on this information, the server adjusts the timing and content of notifications.

[0359] The server searches the database to identify relevant administrative procedures. Database management is often handled by systems like PostgreSQL. Based on previously stored user information, the system automatically generates the necessary administrative documents.

[0360] The terminal is equipped with motion sensors and uses devices such as Arduino and Raspberry Pi to monitor changes in the indoor environment in real time. If an anomaly is detected, it is possible to adjust the priority of the procedure. Furthermore, users can approve documents online using electronic signatures and complete the procedure.

[0361] For example, if a user says, "I'm worried about preparing the next application," the terminal will sense this anxiety, and the server will use that information to provide an approach to smoothly proceed with the procedure. An example of a prompt using the generated AI model would be, "Please tell me a list of recommended procedures in case the user is suspected to be feeling anxious." In this way, the present invention aims to provide a less stressful procedural experience for the user.

[0362] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0363] Step 1:

[0364] The user speaks information about administrative procedures into the smart speaker. This voice is received as input by the device. The device uses the smart speaker's built-in microphone to capture the voice data.

[0365] Step 2:

[0366] The device uses speech recognition technology, such as Google Speech-to-Text, to convert the received audio data into text data. This conversion process outputs the audio signal as text information. Specifically, the audio is converted into the text "Why is the application process so troublesome?"

[0367] Step 3:

[0368] The terminal sends the converted text data to the server. This text data arrives at the server as input, and the server starts emotion recognition processing based on its content. Using the Microsoft Azure Emotion API, the user's emotional state is output. At this stage, an emotion recognition result indicating "irritation" is generated.

[0369] Step 4:

[0370] The server searches the database for relevant procedures based on the sentiment analysis results. Using a database management system like PostgreSQL, it extracts procedure information based on text and sentiment states. This search result is provided as output. This information is then used to generate the notification content for the next step.

[0371] Step 5:

[0372] The server adjusts the timing and content of notifications based on procedural information and emotional state results. Reminders are generated using the information presentation method, and the content is made concise and considerate, with particular attention paid to the user's frustration level. This notification is then sent to the user's device as the final output.

[0373] Step 6:

[0374] The terminal uses motion sensors to monitor the indoor environment. When the sensors detect an anomaly, they send that information to the server as input, and the procedure priority is reviewed. The results of this environmental monitoring by the sensors are used as additional data for adjusting procedures.

[0375] Step 7:

[0376] The server generates the necessary documents for the user's administrative procedures based on relevant information. Referencing past user information, the generated documents are provided to the user. As a final output, the user completes the procedure online using an electronic signature. This ensures the entire procedure is completed smoothly.

[0377] (Application Example 2)

[0378] 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".

[0379] In administrative procedures, users may experience frustration and anxiety because they receive notifications uniformly without considering their emotional state. Furthermore, the lack of timely notifications and procedural adjustments can cause delays in the process. Additionally, there is a problem in that procedures cannot proceed effectively when users are relaxed.

[0380] 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.

[0381] In this invention, the server includes a voice recognition means for receiving voice data and extracting procedural information, a monitoring means for acquiring environmental information from multiple sensors and determining procedural conditions, a document generation means for automatically generating documents by referring to past user information, and an emotion engine means for analyzing emotional states and optimizing notifications. This makes it possible to provide notifications and adjust procedures at the optimal timing based on the user's emotions.

[0382] "Speech recognition means" refers to a device or method that receives speech data and extracts and analyzes useful information from that data.

[0383] "Monitoring methods" refer to technologies that use sensors to collect information in order to understand environmental conditions and to make specific decisions based on that information.

[0384] "Information presentation means" refers to methods or devices used to notify or remind users, and their role is to provide information based on the schedule and importance of procedures.

[0385] A "document generation method" is a technology that collects necessary information based on past data and automatically creates documents suitable for a specific purpose.

[0386] An "electronic signature" is a digital signature used to approve procedures online, and is a method of securing user consent.

[0387] An "emotional engine means" is a device or method for analyzing a user's emotional state from information such as voice and facial expressions, and taking appropriate action based on the results.

[0388] This invention provides a smart system that automatically streamlines administrative procedures by allowing users to casually emit voice data. The main components of the system include voice recognition means, monitoring means, information presentation means, document generation means, electronic signature function, and emotion engine means.

[0389] The server receives voice data from the user via the microphone built into the smartphone or smart speaker, and converts it into text data using speech recognition technology. The software used includes the speech_recognition library, which can quickly and accurately extract information from the voice.

[0390] The speech-recognized data is then sent to the emotion engine, which analyzes the user's emotional state based on their speech content and tone. This process utilizes an emotion analysis pipeline based on the Transformers library as the emotion analysis model. This allows the system to determine whether the user is stressed, relaxed, or otherwise emotionally vulnerable.

[0391] As the user proceeds with the procedure, the monitoring system aggregates indoor environment data from multiple sensors and makes a determination of the conditions necessary for the appropriate procedure. This determines the optimal timing for sending notifications. The terminal then considers the results of the emotion engine and presents information to the user's smartphone at the most opportune moment.

[0392] Furthermore, the server retrieves past user information from the database and automatically generates the necessary procedural documents. The generated documents are then approved online via the user's electronic signature, completing the process.

[0393] For example, if a user says on their way home from work, "I'm worried about the application due next week," this system uses an emotion engine to sense the user's anxiety and, at a calm moment, provides details of the procedure and offers support suggestions. Another example of a specific prompt is, "How would a virtual assistant provide emotional support when I feel anxious about the next procedure?"

[0394] This will create an environment where users can naturally perform administrative procedures as part of their daily lives.

[0395] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0396] Step 1:

[0397] The server receives audio data as input through the terminal's microphone. Using speech recognition technology, it converts this audio data into text data. This process allows for the digital analysis of the user's speech.

[0398] Step 2:

[0399] The server inputs the analyzed text data into an emotion engine. Using a generative AI model, it analyzes the content and tone of speech to identify the user's emotional state (e.g., anxiety, stress, relaxation). This output determines the next action based on that emotion.

[0400] Step 3:

[0401] The device transmits environmental information acquired from multiple motion sensors to the server. The server analyzes the environmental conditions using monitoring tools based on this information and determines the optimal timing for notifications. Here, factors such as room temperature and ambient noise levels are considered to evaluate whether the environment reduces user stress.

[0402] Step 4:

[0403] Based on the results of the emotion engine and the analysis of environmental information, the server retrieves past user information from the database and automatically generates the necessary procedural documents. This ensures that the most appropriate documents are created for each type of procedure.

[0404] Step 5:

[0405] The server sends the generated procedural documents to the user's terminal. The terminal displays an interface for the user to enter an electronic signature, and the user signs the documents. Once this process is complete, the server completes the procedure online.

[0406] Step 6:

[0407] The device generates prompt messages to display notifications or procedural guidance tailored to the user's mood. For example, it can provide guidance using friendly language such as, "We will inform you about the next application procedure when you are relaxed." This allows users to proceed with the process naturally without feeling burdened.

[0408] 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.

[0409] 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.

[0410] 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.

[0411] [Third Embodiment]

[0412] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0413] 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.

[0414] 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).

[0415] 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.

[0416] 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.

[0417] 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).

[0418] 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.

[0419] 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.

[0420] 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.

[0421] 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.

[0422] 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.

[0423] 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".

[0424] This invention provides a system that allows users to naturally complete administrative procedures in their daily lives without taking any special actions. This system combines voice recognition technology, environmental monitoring technology, information notification technology, automatic document generation technology, and electronic signature technology.

[0425] When a user speaks into a voice assistant terminal installed in their home, the terminal recognizes the voice and extracts relevant procedural information. For example, if a user says, "I need to remember my health checkup next month," the terminal recognizes that there is a procedure related to the health checkup and sends the information to the server.

[0426] The server searches a database based on the received voice data to identify the administrative procedures required by the user. Once the procedures are identified, the information is sent to the terminal, which displays a reminder to the user based on the deadline and importance of the procedure. The reminder is also sent in conjunction with the user's mobile devices and wearable devices that they use daily.

[0427] Furthermore, sensors connected to the device continuously monitor indoor temperature, humidity, and operating status, providing information to facilitate procedures according to the living environment. For example, if the temperature is abnormally high, health-related procedures can be prioritized and reminders can be sent.

[0428] Next, the server references previously stored user information and automatically generates the necessary documents. Information picked from the database is reflected in the documents, which the user can then review on their device. After confirming the accuracy of the documents, the user electronically signs them, and the device submits the documents online through the server.

[0429] Thus, this invention provides a system that allows elderly people to naturally complete administrative procedures in their daily lives without consciously managing them. Its aim is to reduce the burden on users and support a safer and more efficient life.

[0430] The following describes the processing flow.

[0431] Step 1:

[0432] The user engages in everyday conversation with the smart speaker. For example, they might say, "Do I need to submit the application by next month?"

[0433] Step 2:

[0434] The device receives the voice data and converts it into text using its built-in speech recognition system. It then extracts important keywords (e.g., application, next month) and sends them to the server.

[0435] Step 3:

[0436] The server analyzes the received text data and searches the database. It identifies whether there are any relevant administrative procedures and retrieves the relevant information.

[0437] Step 4:

[0438] The server sends details of the relevant procedure (e.g., application deadline, required documents) to the terminal and prepares to notify the user as a reminder.

[0439] Step 5:

[0440] The device sends notifications to the user's mobile device or wearable device. These notifications include deadlines for procedures and messages prompting completion of any incomplete procedures.

[0441] Step 6:

[0442] Environmental sensors connected to the terminal continuously monitor the room's temperature, humidity, and operation. If an anomaly is detected, the information is sent to the server and prepared to notify the user.

[0443] Step 7:

[0444] The server automatically generates the necessary documents for administrative procedures based on user information. If any necessary information exists, it is all reflected in the documents.

[0445] Step 8:

[0446] The user reviews the automatically generated document through their device. If the content is correct, they can easily electronically sign it and approve its online submission.

[0447] Step 9:

[0448] The terminal receives the user's digital signature, sends the document to the server, and completes the application process. The server registers the results and prepares to send a result notification to the user.

[0449] (Example 1)

[0450] 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."

[0451] The present invention aims to provide a system that allows users, including the elderly, to naturally complete complex administrative procedures in their daily lives without consciously managing them. Currently, administrative procedures are often burdensome for users, and for the elderly in particular, managing the progress of procedures and preparing necessary documents can be difficult. This can lead to delays or failures in administrative procedures.

[0452] 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.

[0453] In this invention, the server includes recognition means for receiving voice information and extracting relevant procedural information from the voice information; monitoring means for acquiring environmental data from a detection device and determining conditions for facilitating the procedure based on the environmental data; and presentation means for presenting information based on the date and importance of the procedure and reminding the user. This enables the user to complete administrative procedures efficiently and reliably without requiring conscious management.

[0454] "Audio information" refers to information that uses acoustic signals to process the content of a user's speech as digital data.

[0455] "Recognition means" refers to a device or technology that analyzes audio information and extracts related procedural information.

[0456] A "detection device" is a sensor device that senses and acquires data about the surrounding environment.

[0457] "Environmental data" refers to data that indicates the current environmental conditions, including indoor and outdoor temperature, humidity, sound, and light.

[0458] "Monitoring measures" refer to devices or systems that determine conditions for facilitating procedures based on acquired environmental data.

[0459] A "notification method" is a mechanism that visually or audibly notifies users of the deadline and importance of a procedure.

[0460] "User" refers to a person who operates or uses this system.

[0461] "Generation means" refers to a system or program that automatically creates necessary administrative procedural documents based on user information.

[0462] An "electronic signature" is an electronic signature method used to indicate a user's approval of digital information.

[0463] This system is designed to allow users to complete administrative procedures in their daily lives without conscious management. The system consists of terminals equipped with voice assistants, a server that manages central data, and a database that records user information.

[0464] Devices equipped with voice assistants analyze the user's speech using speech recognition technology. Specifically, they recognize voice information collected through a microphone and analyze this data using natural language processing technology. For example, a commonly used type of speech recognition software is a product equipped with a voice engine. This allows for the extraction of relevant procedural information.

[0465] The terminal sends information obtained through voice recognition to the server. The server searches its database based on the received information and identifies the relevant procedure. Furthermore, the server automatically generates the necessary documents using the user's past information. This automatic generation may utilize a generative AI model. The generated documents are provided to the user via the terminal, and the user reviews the content and then electronically signs them. The terminal then completes the procedure online via the server. Advanced security technology is applied to the electronic signature.

[0466] Furthermore, a detection device equipped with environmental monitoring capabilities is connected to the terminal, continuously acquiring indoor environmental data. This data is used to adjust the priority of procedures, so if the environment is related to the user's health, health-related procedures can be reminded preferentially.

[0467] For example, if a user says to the terminal, "Don't forget about my health checkup next month," the system will determine that there is a procedure related to the health checkup. The server will identify the necessary procedures and, if necessary, automatically generate documents for scheduling the health checkup. The user will then review the documents through the terminal, electronically sign them, and complete the procedure.

[0468] An example of a prompt to input into the generating AI model might be: "Explain the flow of a system that notifies the user of the necessary administrative procedures and automatically generates the documents when the user mentions a health checkup to the voice assistant."

[0469] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0470] Step 1:

[0471] When a "user" speaks to the voice assistant "terminal," the "terminal" receives the voice information as input. The "terminal" converts the voice obtained through the microphone into text data using speech recognition software. This digitizes the user's speech and prepares it for the next processing step.

[0472] Step 2:

[0473] The "terminal" takes text data generated by speech recognition as input and uses natural language processing technology to extract relevant procedural information. This process analyzes keywords and related terms within the text to identify administrative procedures of interest. For example, it identifies keywords such as "health checkup" and passes the related information to the next step.

[0474] Step 3:

[0475] The "terminal" outputs the extracted procedural information and sends it to the "server." This data includes elements necessary to identify the procedure. The server receives this information as input and retrieves the relevant administrative procedure as output by searching its database. Based on this data, it identifies the necessary procedural information.

[0476] Step 4:

[0477] The "server" automatically generates the necessary documents based on identified procedural information and references past user information. Using a generation AI model, it generates the documents and sends the output to the "terminal" for user review. This reduces the burden on users and makes document preparation more efficient.

[0478] Step 5:

[0479] The "terminal" presents the generated document to the user and prompts them to review its contents. The user reviews the document on the terminal or a dedicated device and provides an electronic signature. This review and signature is necessary to obtain accurate approval from the user and to proceed to the next procedural step.

[0480] Step 6:

[0481] The "terminal" sends the electronically signed document as output to the "server," which completes the process online. Confirmation information indicating the completion of the process is sent to the user via the "terminal." This ensures that all necessary procedures are completed electronically, eliminating any physical burden on the user.

[0482] (Application Example 1)

[0483] 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."

[0484] There is a need for elderly people and those requiring care to be able to efficiently and safely complete health management and necessary administrative procedures without having to consciously think about it. In particular, it is important to provide a system that naturally supports these procedures in daily life. The goal is to create a safe and comfortable living environment by reducing the burden on elderly people to manage complex procedures themselves.

[0485] 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.

[0486] In this invention, the server includes voice recognition means for receiving voice data and extracting relevant procedural information from the voice data; monitoring means for acquiring environmental information from multiple motion sensors and determining conditions for facilitating the procedure based on the environmental information; and information presentation means for notifying and reminding the user based on the date and importance of the procedure. This makes it possible for the user to complete the procedure naturally in their daily life without taking any special actions.

[0487] A "voice recognition means" is a device that receives voice data from a user, analyzes its content, and extracts relevant procedural information.

[0488] A "monitoring device" is a device that uses multiple motion sensors to acquire environmental information and has the function of determining environmental conditions necessary to facilitate a procedure based on that information.

[0489] An "information presentation device" is a device that has the function of notifying and reminding users based on the deadline and importance of a procedure.

[0490] A "document generation means" is a device that has the function of automatically generating necessary administrative documents by referring to user information stored in the past.

[0491] An "electronic signature device" is a device that has the function of electronically receiving approval from a user and completing a procedure online.

[0492] A "health management device" is a device that monitors the user's health status in the field of elderly care and dynamically sets the priority of health management procedures based on that status.

[0493] A "visual information presentation means" is a device that has the function of displaying necessary procedural information on the user's visual device.

[0494] The system for implementing this invention combines speech recognition technology, sensor-based environmental monitoring technology, information presentation technology, automatic document generation technology, and electronic signature technology. The central components of the system are the server and terminals (user voice assistant devices and smart devices).

[0495] The server is located in the cloud, receives audio data, and converts it to text using a speech recognition engine (specifically, the Google Speech-to-Text API). This text data is then analyzed using a natural language processing library (e.g., NLTK) to extract relevant procedural information. Next, the server consults a database to search for the relevant procedures and automatically generates the necessary information and documents.

[0496] The device receives voice input from the user and acquires environmental information using sensors. Data such as temperature and operating status is collected through multiple sensors, and conditional decisions are made based on this data using monitoring devices. This information is notified to the user in real time and presented to them through visual information display devices via smart glasses or smartphones.

[0497] The user reviews the procedure details on their device and approves it using an electronic signature. This completes the procedure online. For example, regarding a health checkup appointment, the user simply says, "I need to book my next health checkup," and the system automatically proceeds with the booking process, generates the relevant documents, and presents them to the user.

[0498] Examples of prompts for generative AI models:

[0499] "Please explain the steps to automatically process a request for a health checkup appointment based on voice input."

[0500] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0501] Step 1:

[0502] The device receives voice input from the user via its microphone. It then sends the received voice data to a server in the cloud. The input is raw voice data, and the output is the data sent to the server.

[0503] Step 2:

[0504] The server converts the received audio data into text data using a speech recognition engine. The Google Speech-to-Text API is used for this conversion. The input is audio data, and the output is the converted text data.

[0505] Step 3:

[0506] The server analyzes the generated text data using a natural language processing engine (NLTK). This analysis extracts procedural information. The input is text data, and the output is the extracted procedural information.

[0507] Step 4:

[0508] The server queries the database based on the extracted procedural information to find the relevant administrative procedure. The input is procedural information, and the output is specific procedural information obtained through the search.

[0509] Step 5:

[0510] The server automatically generates the necessary documents using procedural information and the user's past information. The documents are generated using a PDF generation library (FPDF). The input is procedural information and user information, and the output is the generated document.

[0511] Step 6:

[0512] The terminal displays the generated document to the user on its screen. The user reviews it and provides an electronic signature. The input is the generated document, and the output is the user's electronic signature.

[0513] Step 7:

[0514] The server sends electronically signed documents online and completes the specified administrative procedures. The input is the electronically signed documents, and the output is the completion of the online procedure.

[0515] 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.

[0516] This invention is realized by combining an emotion engine with a system that allows users to naturally complete administrative procedures in their daily lives without taking any special actions. The emotion engine has the function of recognizing the user's emotional state by analyzing the user's voice tone, word choice, and facial expression data.

[0517] When a user communicates information by voice using a smart speaker, the device converts the voice into text data using speech recognition technology, and then uses an emotion engine to estimate the user's emotions from their speech. For example, if it analyzes a voice saying, "Why is the application process so complicated?", and detects frustration, the system will provide support or reminders tailored to that emotion.

[0518] Next, the server searches the database for relevant procedures based on the voice data and adjusts the timing and content of notifications, taking into account the output of the emotion engine. For example, when the user is relaxed, it will notify them of priority procedures to encourage a smooth response. Alternatively, if the user is stressed, the server can adjust the notification content to be concise and gentle.

[0519] For environmental monitoring, the terminal is equipped with motion sensors to track changes in the indoor environment in real time. When an anomaly is detected, the information is sent to the server, and the priority of the procedure can be changed. Furthermore, documents are automatically generated based on past user information, and procedures can be completed offline with electronic signatures.

[0520] For example, if a user says, "I'm anxious about preparing for the next application," the emotion engine will sense that anxiety. The device will then suggest starting with a simple procedure at a time that will help the user calm down and provide support.

[0521] This invention aims to create a safer and more comfortable living environment for the elderly by not only enabling them to complete administrative procedures in a natural way, but also by providing emotional support.

[0522] The following describes the processing flow.

[0523] Step 1:

[0524] The user speaks to the smart speaker. For example, they might say, "I think I should probably check on the application form soon."

[0525] Step 2:

[0526] The device receives the user's voice and converts it into text data using its built-in speech recognition system. Simultaneously, an emotion engine analyzes the user's emotional state from the tone of voice and the words used.

[0527] Step 3:

[0528] The server searches the database for relevant procedural information based on the text data obtained through speech recognition. It then utilizes the output of the emotion engine to determine the most appropriate procedure and timing for the user's emotions.

[0529] Step 4:

[0530] The server sends the identified procedural information and reminder content corresponding to the user's emotions to the device. The content and timing of the notification are optimized according to the user's emotions.

[0531] Step 5:

[0532] The device sends a notification to the user's mobile device or wearable device, providing information about the procedure. The notification includes emotionally sensitive guidance and support.

[0533] Step 6:

[0534] Motion sensors connected to the terminal monitor the room temperature and movement, detecting anomalies and changes. The detected information is sent to a server, which adjusts the priority of procedures and responses as needed.

[0535] Step 7:

[0536] The server automatically generates the necessary documents by referencing past user information. These documents include important notes and confirmations that take into account the user's emotional state.

[0537] Step 8:

[0538] The user reviews the document generated via their device. If there are no problems with the content, they electronically sign it and approve the document for online submission.

[0539] Step 9:

[0540] The terminal receives the user's digital signature, sends the document and related information to the server, and completes the process. The user is notified of the completion and guided on the next steps.

[0541] (Example 2)

[0542] 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."

[0543] Traditional administrative procedure systems often caused anxiety and frustration for users who frequently used the system, resulting in delays in procedures. Furthermore, the inability to adapt to changing circumstances and the failure to adjust procedure priorities and content hindered efforts to reduce user burden. The uniform notification system, which disregarded users' emotional states, also exacerbated the problem.

[0544] 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.

[0545] In this invention, the server includes a speech recognition means for receiving voice data and extracting relevant procedural information from the voice data; an emotion recognition means for performing emotion analysis and adjusting the timing and content of notifications based on the emotion analysis; and a document generation means for automatically generating documents for administrative procedures by referring to previously stored user information. This enables flexible and effective procedural guidance that takes into account the user's emotional state, and the rapid and appropriate generation of deliverables.

[0546] "Speech recognition means" refers to technology that receives voice data from a user and converts that voice data into text data.

[0547] "Monitoring methods" refer to technologies that use multiple sensors to acquire environmental information and use that information to determine specific conditions.

[0548] "Information presentation means" refers to technologies that provide users with notifications and reminders based on the deadline and importance of procedures.

[0549] "Document generation means" refers to technology that automatically creates necessary administrative documents by referring to user information stored in the past.

[0550] This is a method of obtaining user approval through "electronic signatures" and completing procedures online.

[0551] "Emotion recognition means" refers to a technology that analyzes the user's tone of voice and word choice to estimate their emotional state, and then adjusts the timing and content of notifications based on the results.

[0552] As an embodiment of the present invention, this system assists users in carrying out administrative procedures more smoothly. This system combines multiple functions, such as speech recognition, emotion recognition, database search, and document generation.

[0553] First, when a user inputs information by voice using a smart speaker or similar device, the device captures that voice data. Next, speech recognition software such as Google Speech-to-Text is used to convert the voice into text data. The converted text data is then sent to a server.

[0554] The server analyzes the received text data and uses emotion recognition technologies such as the Microsoft Azure Emotion API to determine the user's emotional state. For example, if a user says, "I'm anxious about preparing for the next application," the server can recognize that anxiety. Based on this information, the server adjusts the timing and content of notifications.

[0555] The server searches the database to identify relevant administrative procedures. Database management is often handled by systems like PostgreSQL. Based on previously stored user information, the system automatically generates the necessary administrative documents.

[0556] The terminal is equipped with motion sensors and uses devices such as Arduino and Raspberry Pi to monitor changes in the indoor environment in real time. If an anomaly is detected, it is possible to adjust the priority of the procedure. Furthermore, users can approve documents online using electronic signatures and complete the procedure.

[0557] For example, if a user says, "I'm worried about preparing the next application," the terminal will sense this anxiety, and the server will use that information to provide an approach to smoothly proceed with the procedure. An example of a prompt using the generated AI model would be, "Please tell me a list of recommended procedures in case the user is suspected to be feeling anxious." In this way, the present invention aims to provide a less stressful procedural experience for the user.

[0558] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0559] Step 1:

[0560] The user speaks information about administrative procedures into the smart speaker. This voice is received as input by the device. The device uses the smart speaker's built-in microphone to capture the voice data.

[0561] Step 2:

[0562] The device uses speech recognition technology, such as Google Speech-to-Text, to convert the received audio data into text data. This conversion process outputs the audio signal as text information. Specifically, the audio is converted into the text "Why is the application process so troublesome?"

[0563] Step 3:

[0564] The terminal sends the converted text data to the server. This text data arrives at the server as input, and the server starts emotion recognition processing based on its content. Using the Microsoft Azure Emotion API, the user's emotional state is output. At this stage, an emotion recognition result indicating "irritation" is generated.

[0565] Step 4:

[0566] The server searches the database for relevant procedures based on the sentiment analysis results. Using a database management system like PostgreSQL, it extracts procedure information based on text and sentiment states. This search result is provided as output. This information is then used to generate the notification content for the next step.

[0567] Step 5:

[0568] The server adjusts the timing and content of notifications based on procedural information and emotional state results. Reminders are generated using the information presentation method, and the content is made concise and considerate, with particular attention paid to the user's frustration level. This notification is then sent to the user's device as the final output.

[0569] Step 6:

[0570] The terminal uses motion sensors to monitor the indoor environment. When the sensors detect an anomaly, they send that information to the server as input, and the procedure priority is reviewed. The results of this environmental monitoring by the sensors are used as additional data for adjusting procedures.

[0571] Step 7:

[0572] The server generates the necessary documents for the user's administrative procedures based on relevant information. Referencing past user information, the generated documents are provided to the user. As a final output, the user completes the procedure online using an electronic signature. This ensures the entire procedure is completed smoothly.

[0573] (Application Example 2)

[0574] 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."

[0575] In administrative procedures, users may experience frustration and anxiety because they receive notifications uniformly without considering their emotional state. Furthermore, the lack of timely notifications and procedural adjustments can cause delays in the process. Additionally, there is a problem in that procedures cannot proceed effectively when users are relaxed.

[0576] 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.

[0577] In this invention, the server includes a voice recognition means for receiving voice data and extracting procedural information, a monitoring means for acquiring environmental information from multiple sensors and determining procedural conditions, a document generation means for automatically generating documents by referring to past user information, and an emotion engine means for analyzing emotional states and optimizing notifications. This makes it possible to provide notifications and adjust procedures at the optimal timing based on the user's emotions.

[0578] "Speech recognition means" refers to a device or method that receives speech data and extracts and analyzes useful information from that data.

[0579] "Monitoring methods" refer to technologies that use sensors to collect information in order to understand environmental conditions and to make specific decisions based on that information.

[0580] "Information presentation means" refers to methods or devices used to notify or remind users, and their role is to provide information based on the schedule and importance of procedures.

[0581] A "document generation method" is a technology that collects necessary information based on past data and automatically creates documents suitable for a specific purpose.

[0582] An "electronic signature" is a digital signature used to approve procedures online, and is a method of securing user consent.

[0583] An "emotional engine means" is a device or method for analyzing a user's emotional state from information such as voice and facial expressions, and taking appropriate action based on the results.

[0584] This invention provides a smart system that automatically streamlines administrative procedures by allowing users to casually emit voice data. The main components of the system include voice recognition means, monitoring means, information presentation means, document generation means, electronic signature function, and emotion engine means.

[0585] The server receives voice data from the user via the microphone built into the smartphone or smart speaker, and converts it into text data using speech recognition technology. The software used includes the speech_recognition library, which can quickly and accurately extract information from the voice.

[0586] The speech-recognized data is then sent to the emotion engine, which analyzes the user's emotional state based on their speech content and tone. This process utilizes an emotion analysis pipeline based on the Transformers library as the emotion analysis model. This allows the system to determine whether the user is stressed, relaxed, or otherwise emotionally vulnerable.

[0587] As the user proceeds with the procedure, the monitoring system aggregates indoor environment data from multiple sensors and makes a determination of the conditions necessary for the appropriate procedure. This determines the optimal timing for sending notifications. The terminal then considers the results of the emotion engine and presents information to the user's smartphone at the most opportune moment.

[0588] Furthermore, the server retrieves past user information from the database and automatically generates the necessary procedural documents. The generated documents are then approved online via the user's electronic signature, completing the process.

[0589] For example, if a user says on their way home from work, "I'm worried about the application due next week," this system uses an emotion engine to sense the user's anxiety and, at a calm moment, provides details of the procedure and offers support suggestions. Another example of a specific prompt is, "How would a virtual assistant provide emotional support when I feel anxious about the next procedure?"

[0590] This will create an environment where users can naturally perform administrative procedures as part of their daily lives.

[0591] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0592] Step 1:

[0593] The server receives audio data as input through the terminal's microphone. Using speech recognition technology, it converts this audio data into text data. This process allows for the digital analysis of the user's speech.

[0594] Step 2:

[0595] The server inputs the analyzed text data into an emotion engine. Using a generative AI model, it analyzes the content and tone of speech to identify the user's emotional state (e.g., anxiety, stress, relaxation). This output determines the next action based on that emotion.

[0596] Step 3:

[0597] The device transmits environmental information acquired from multiple motion sensors to the server. The server analyzes the environmental conditions using monitoring tools based on this information and determines the optimal timing for notifications. Here, factors such as room temperature and ambient noise levels are considered to evaluate whether the environment reduces user stress.

[0598] Step 4:

[0599] Based on the results of the emotion engine and the analysis of environmental information, the server retrieves past user information from the database and automatically generates the necessary procedural documents. This ensures that the most appropriate documents are created for each type of procedure.

[0600] Step 5:

[0601] The server sends the generated procedural documents to the user's terminal. The terminal displays an interface for the user to enter an electronic signature, and the user signs the documents. Once this process is complete, the server completes the procedure online.

[0602] Step 6:

[0603] The device generates prompt messages to display notifications or procedural guidance tailored to the user's mood. For example, it can provide guidance using friendly language such as, "We will inform you about the next application procedure when you are relaxed." This allows users to proceed with the process naturally without feeling burdened.

[0604] 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.

[0605] 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.

[0606] 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.

[0607] [Fourth Embodiment]

[0608] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0609] 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.

[0610] 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).

[0611] 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.

[0612] 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.

[0613] 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).

[0614] 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.

[0615] 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.

[0616] 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.

[0617] 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.

[0618] 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.

[0619] 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.

[0620] 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".

[0621] This invention provides a system that allows users to naturally complete administrative procedures in their daily lives without taking any special actions. This system combines voice recognition technology, environmental monitoring technology, information notification technology, automatic document generation technology, and electronic signature technology.

[0622] When a user speaks into a voice assistant terminal installed in their home, the terminal recognizes the voice and extracts relevant procedural information. For example, if a user says, "I need to remember my health checkup next month," the terminal recognizes that there is a procedure related to the health checkup and sends the information to the server.

[0623] The server searches a database based on the received voice data to identify the administrative procedures required by the user. Once the procedures are identified, the information is sent to the terminal, which displays a reminder to the user based on the deadline and importance of the procedure. The reminder is also sent in conjunction with the user's mobile devices and wearable devices that they use daily.

[0624] Furthermore, sensors connected to the device continuously monitor indoor temperature, humidity, and operating status, providing information to facilitate procedures according to the living environment. For example, if the temperature is abnormally high, health-related procedures can be prioritized and reminders can be sent.

[0625] Next, the server references previously stored user information and automatically generates the necessary documents. Information picked from the database is reflected in the documents, which the user can then review on their device. After confirming the accuracy of the documents, the user electronically signs them, and the device submits the documents online through the server.

[0626] Thus, this invention provides a system that allows elderly people to naturally complete administrative procedures in their daily lives without consciously managing them. Its aim is to reduce the burden on users and support a safer and more efficient life.

[0627] The following describes the processing flow.

[0628] Step 1:

[0629] The user engages in everyday conversation with the smart speaker. For example, they might say, "Do I need to submit the application by next month?"

[0630] Step 2:

[0631] The device receives the voice data and converts it into text using its built-in speech recognition system. It then extracts important keywords (e.g., application, next month) and sends them to the server.

[0632] Step 3:

[0633] The server analyzes the received text data and searches the database. It identifies whether there are any relevant administrative procedures and retrieves the relevant information.

[0634] Step 4:

[0635] The server sends details of the relevant procedure (e.g., application deadline, required documents) to the terminal and prepares to notify the user as a reminder.

[0636] Step 5:

[0637] The device sends notifications to the user's mobile device or wearable device. These notifications include deadlines for procedures and messages prompting completion of any incomplete procedures.

[0638] Step 6:

[0639] Environmental sensors connected to the terminal continuously monitor the room's temperature, humidity, and operation. If an anomaly is detected, the information is sent to the server and prepared to notify the user.

[0640] Step 7:

[0641] The server automatically generates the necessary documents for administrative procedures based on user information. If any necessary information exists, it is all reflected in the documents.

[0642] Step 8:

[0643] The user reviews the automatically generated document through their device. If the content is correct, they can easily electronically sign it and approve its online submission.

[0644] Step 9:

[0645] The terminal receives the user's digital signature, sends the document to the server, and completes the application process. The server registers the results and prepares to send a result notification to the user.

[0646] (Example 1)

[0647] 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".

[0648] The present invention aims to provide a system that allows users, including the elderly, to naturally complete complex administrative procedures in their daily lives without consciously managing them. Currently, administrative procedures are often burdensome for users, and for the elderly in particular, managing the progress of procedures and preparing necessary documents can be difficult. This can lead to delays or failures in administrative procedures.

[0649] 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.

[0650] In this invention, the server includes recognition means for receiving voice information and extracting relevant procedural information from the voice information; monitoring means for acquiring environmental data from a detection device and determining conditions for facilitating the procedure based on the environmental data; and presentation means for presenting information based on the date and importance of the procedure and reminding the user. This enables the user to complete administrative procedures efficiently and reliably without requiring conscious management.

[0651] "Audio information" refers to information that uses acoustic signals to process the content of a user's speech as digital data.

[0652] "Recognition means" refers to a device or technology that analyzes audio information and extracts related procedural information.

[0653] A "detection device" is a sensor device that senses and acquires data about the surrounding environment.

[0654] "Environmental data" refers to data that indicates the current environmental conditions, including indoor and outdoor temperature, humidity, sound, and light.

[0655] "Monitoring measures" refer to devices or systems that determine conditions for facilitating procedures based on acquired environmental data.

[0656] A "notification method" is a mechanism that visually or audibly notifies users of the deadline and importance of a procedure.

[0657] "User" refers to a person who operates or uses this system.

[0658] "Generation means" refers to a system or program that automatically creates necessary administrative procedural documents based on user information.

[0659] An "electronic signature" is an electronic signature method used to indicate a user's approval of digital information.

[0660] This system is designed to allow users to complete administrative procedures in their daily lives without conscious management. The system consists of terminals equipped with voice assistants, a server that manages central data, and a database that records user information.

[0661] Devices equipped with voice assistants analyze the user's speech using speech recognition technology. Specifically, they recognize voice information collected through a microphone and analyze this data using natural language processing technology. For example, a commonly used type of speech recognition software is a product equipped with a voice engine. This allows for the extraction of relevant procedural information.

[0662] The terminal sends information obtained through voice recognition to the server. The server searches its database based on the received information and identifies the relevant procedure. Furthermore, the server automatically generates the necessary documents using the user's past information. This automatic generation may utilize a generative AI model. The generated documents are provided to the user via the terminal, and the user reviews the content and then electronically signs them. The terminal then completes the procedure online via the server. Advanced security technology is applied to the electronic signature.

[0663] Furthermore, a detection device equipped with environmental monitoring capabilities is connected to the terminal, continuously acquiring indoor environmental data. This data is used to adjust the priority of procedures, so if the environment is related to the user's health, health-related procedures can be reminded preferentially.

[0664] For example, if a user says to the terminal, "Don't forget about my health checkup next month," the system will determine that there is a procedure related to the health checkup. The server will identify the necessary procedures and, if necessary, automatically generate documents for scheduling the health checkup. The user will then review the documents through the terminal, electronically sign them, and complete the procedure.

[0665] An example of a prompt to input into the generating AI model might be: "Explain the flow of a system that notifies the user of the necessary administrative procedures and automatically generates the documents when the user mentions a health checkup to the voice assistant."

[0666] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0667] Step 1:

[0668] When a "user" speaks to the voice assistant "terminal," the "terminal" receives the voice information as input. The "terminal" converts the voice obtained through the microphone into text data using speech recognition software. This digitizes the user's speech and prepares it for the next processing step.

[0669] Step 2:

[0670] The "terminal" takes text data generated by speech recognition as input and uses natural language processing technology to extract relevant procedural information. This process analyzes keywords and related terms within the text to identify administrative procedures of interest. For example, it identifies keywords such as "health checkup" and passes the related information to the next step.

[0671] Step 3:

[0672] The "terminal" outputs the extracted procedural information and sends it to the "server." This data includes elements necessary to identify the procedure. The server receives this information as input and retrieves the relevant administrative procedure as output by searching its database. Based on this data, it identifies the necessary procedural information.

[0673] Step 4:

[0674] The "server" automatically generates the necessary documents based on identified procedural information and references past user information. Using a generation AI model, it generates the documents and sends the output to the "terminal" for user review. This reduces the burden on users and makes document preparation more efficient.

[0675] Step 5:

[0676] The "terminal" presents the generated document to the user and prompts them to review its contents. The user reviews the document on the terminal or a dedicated device and provides an electronic signature. This review and signature is necessary to obtain accurate approval from the user and to proceed to the next procedural step.

[0677] Step 6:

[0678] The "terminal" sends the electronically signed document as output to the "server," which completes the process online. Confirmation information indicating the completion of the process is sent to the user via the "terminal." This ensures that all necessary procedures are completed electronically, eliminating any physical burden on the user.

[0679] (Application Example 1)

[0680] 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".

[0681] There is a need for elderly people and those requiring care to be able to efficiently and safely complete health management and necessary administrative procedures without having to consciously think about it. In particular, it is important to provide a system that naturally supports these procedures in daily life. The goal is to create a safe and comfortable living environment by reducing the burden on elderly people to manage complex procedures themselves.

[0682] 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.

[0683] In this invention, the server includes voice recognition means for receiving voice data and extracting relevant procedural information from the voice data; monitoring means for acquiring environmental information from multiple motion sensors and determining conditions for facilitating the procedure based on the environmental information; and information presentation means for notifying and reminding the user based on the date and importance of the procedure. This makes it possible for the user to complete the procedure naturally in their daily life without taking any special actions.

[0684] A "voice recognition means" is a device that receives voice data from a user, analyzes its content, and extracts relevant procedural information.

[0685] A "monitoring device" is a device that uses multiple motion sensors to acquire environmental information and has the function of determining environmental conditions necessary to facilitate a procedure based on that information.

[0686] An "information presentation device" is a device that has the function of notifying and reminding users based on the deadline and importance of a procedure.

[0687] A "document generation means" is a device that has the function of automatically generating necessary administrative documents by referring to user information stored in the past.

[0688] An "electronic signature device" is a device that has the function of electronically receiving approval from a user and completing a procedure online.

[0689] A "health management device" is a device that monitors the user's health status in the field of elderly care and dynamically sets the priority of health management procedures based on that status.

[0690] A "visual information presentation means" is a device that has the function of displaying necessary procedural information on the user's visual device.

[0691] The system for implementing this invention combines speech recognition technology, sensor-based environmental monitoring technology, information presentation technology, automatic document generation technology, and electronic signature technology. The central components of the system are the server and terminals (user voice assistant devices and smart devices).

[0692] The server is located in the cloud, receives audio data, and converts it to text using a speech recognition engine (specifically, the Google Speech-to-Text API). This text data is then analyzed using a natural language processing library (e.g., NLTK) to extract relevant procedural information. Next, the server consults a database to search for the relevant procedures and automatically generates the necessary information and documents.

[0693] The device receives voice input from the user and acquires environmental information using sensors. Data such as temperature and operating status is collected through multiple sensors, and conditional decisions are made based on this data using monitoring devices. This information is notified to the user in real time and presented to them through visual information display devices via smart glasses or smartphones.

[0694] The user reviews the procedure details on their device and approves it using an electronic signature. This completes the procedure online. For example, regarding a health checkup appointment, the user simply says, "I need to book my next health checkup," and the system automatically proceeds with the booking process, generates the relevant documents, and presents them to the user.

[0695] Examples of prompts for generative AI models:

[0696] "Please explain the steps to automatically process a request for a health checkup appointment based on voice input."

[0697] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0698] Step 1:

[0699] The device receives voice input from the user via its microphone. It then sends the received voice data to a server in the cloud. The input is raw voice data, and the output is the data sent to the server.

[0700] Step 2:

[0701] The server converts the received audio data into text data using a speech recognition engine. The Google Speech-to-Text API is used for this conversion. The input is audio data, and the output is the converted text data.

[0702] Step 3:

[0703] The server analyzes the generated text data using a natural language processing engine (NLTK). This analysis extracts procedural information. The input is text data, and the output is the extracted procedural information.

[0704] Step 4:

[0705] The server queries the database based on the extracted procedural information to find the relevant administrative procedure. The input is procedural information, and the output is specific procedural information obtained through the search.

[0706] Step 5:

[0707] The server automatically generates the necessary documents using procedural information and the user's past information. The documents are generated using a PDF generation library (FPDF). The input is procedural information and user information, and the output is the generated document.

[0708] Step 6:

[0709] The terminal displays the generated document to the user on its screen. The user reviews it and provides an electronic signature. The input is the generated document, and the output is the user's electronic signature.

[0710] Step 7:

[0711] The server sends electronically signed documents online and completes the specified administrative procedures. The input is the electronically signed documents, and the output is the completion of the online procedure.

[0712] 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.

[0713] This invention is realized by combining an emotion engine with a system that allows users to naturally complete administrative procedures in their daily lives without taking any special actions. The emotion engine has the function of recognizing the user's emotional state by analyzing the user's voice tone, word choice, and facial expression data.

[0714] When a user communicates information by voice using a smart speaker, the device converts the voice into text data using speech recognition technology, and then uses an emotion engine to estimate the user's emotions from their speech. For example, if it analyzes a voice saying, "Why is the application process so complicated?", and detects frustration, the system will provide support or reminders tailored to that emotion.

[0715] Next, the server searches the database for relevant procedures based on the voice data and adjusts the timing and content of notifications, taking into account the output of the emotion engine. For example, when the user is relaxed, it will notify them of priority procedures to encourage a smooth response. Alternatively, if the user is stressed, the server can adjust the notification content to be concise and gentle.

[0716] For environmental monitoring, the terminal is equipped with motion sensors to track changes in the indoor environment in real time. When an anomaly is detected, the information is sent to the server, and the priority of the procedure can be changed. Furthermore, documents are automatically generated based on past user information, and procedures can be completed offline with electronic signatures.

[0717] For example, if a user says, "I'm anxious about preparing for the next application," the emotion engine will sense that anxiety. The device will then suggest starting with a simple procedure at a time that will help the user calm down and provide support.

[0718] This invention aims to create a safer and more comfortable living environment for the elderly by not only enabling them to complete administrative procedures in a natural way, but also by providing emotional support.

[0719] The following describes the processing flow.

[0720] Step 1:

[0721] The user speaks to the smart speaker. For example, they might say, "I think I should probably check on the application form soon."

[0722] Step 2:

[0723] The device receives the user's voice and converts it into text data using its built-in speech recognition system. Simultaneously, an emotion engine analyzes the user's emotional state from the tone of voice and the words used.

[0724] Step 3:

[0725] The server searches the database for relevant procedural information based on the text data obtained through speech recognition. It then utilizes the output of the emotion engine to determine the most appropriate procedure and timing for the user's emotions.

[0726] Step 4:

[0727] The server sends the identified procedural information and reminder content corresponding to the user's emotions to the device. The content and timing of the notification are optimized according to the user's emotions.

[0728] Step 5:

[0729] The device sends a notification to the user's mobile device or wearable device, providing information about the procedure. The notification includes emotionally sensitive guidance and support.

[0730] Step 6:

[0731] Motion sensors connected to the terminal monitor the room temperature and movement, detecting anomalies and changes. The detected information is sent to a server, which adjusts the priority of procedures and responses as needed.

[0732] Step 7:

[0733] The server automatically generates the necessary documents by referencing past user information. These documents include important notes and confirmations that take into account the user's emotional state.

[0734] Step 8:

[0735] The user reviews the document generated via their device. If there are no problems with the content, they electronically sign it and approve the document for online submission.

[0736] Step 9:

[0737] The terminal receives the user's digital signature, sends the document and related information to the server, and completes the process. The user is notified of the completion and guided on the next steps.

[0738] (Example 2)

[0739] 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".

[0740] Traditional administrative procedure systems often caused anxiety and frustration for users who frequently used the system, resulting in delays in procedures. Furthermore, the inability to adapt to changing circumstances and the failure to adjust procedure priorities and content hindered efforts to reduce user burden. The uniform notification system, which disregarded users' emotional states, also exacerbated the problem.

[0741] 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.

[0742] In this invention, the server includes a speech recognition means for receiving voice data and extracting relevant procedural information from the voice data; an emotion recognition means for performing emotion analysis and adjusting the timing and content of notifications based on the emotion analysis; and a document generation means for automatically generating documents for administrative procedures by referring to previously stored user information. This enables flexible and effective procedural guidance that takes into account the user's emotional state, and the rapid and appropriate generation of deliverables.

[0743] "Speech recognition means" refers to technology that receives voice data from a user and converts that voice data into text data.

[0744] "Monitoring methods" refer to technologies that use multiple sensors to acquire environmental information and use that information to determine specific conditions.

[0745] "Information presentation means" refers to technologies that provide users with notifications and reminders based on the deadline and importance of procedures.

[0746] "Document generation means" refers to technology that automatically creates necessary administrative documents by referring to user information stored in the past.

[0747] This is a method of obtaining user approval through "electronic signatures" and completing procedures online.

[0748] "Emotion recognition means" refers to a technology that analyzes the user's tone of voice and word choice to estimate their emotional state, and then adjusts the timing and content of notifications based on the results.

[0749] As an embodiment of the present invention, this system assists users in carrying out administrative procedures more smoothly. This system combines multiple functions, such as speech recognition, emotion recognition, database search, and document generation.

[0750] First, when a user inputs information by voice using a smart speaker or similar device, the device captures that voice data. Next, speech recognition software such as Google Speech-to-Text is used to convert the voice into text data. The converted text data is then sent to a server.

[0751] The server analyzes the received text data and uses emotion recognition technologies such as the Microsoft Azure Emotion API to determine the user's emotional state. For example, if a user says, "I'm anxious about preparing for the next application," the server can recognize that anxiety. Based on this information, the server adjusts the timing and content of notifications.

[0752] The server searches the database to identify relevant administrative procedures. Database management is often handled by systems like PostgreSQL. Based on previously stored user information, the system automatically generates the necessary administrative documents.

[0753] The terminal is equipped with motion sensors and uses devices such as Arduino and Raspberry Pi to monitor changes in the indoor environment in real time. If an anomaly is detected, it is possible to adjust the priority of the procedure. Furthermore, users can approve documents online using electronic signatures and complete the procedure.

[0754] For example, if a user says, "I'm worried about preparing the next application," the terminal will sense this anxiety, and the server will use that information to provide an approach to smoothly proceed with the procedure. An example of a prompt using the generated AI model would be, "Please tell me a list of recommended procedures in case the user is suspected to be feeling anxious." In this way, the present invention aims to provide a less stressful procedural experience for the user.

[0755] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0756] Step 1:

[0757] The user speaks information about administrative procedures into the smart speaker. This voice is received as input by the device. The device uses the smart speaker's built-in microphone to capture the voice data.

[0758] Step 2:

[0759] The device uses speech recognition technology, such as Google Speech-to-Text, to convert the received audio data into text data. This conversion process outputs the audio signal as text information. Specifically, the audio is converted into the text "Why is the application process so troublesome?"

[0760] Step 3:

[0761] The terminal sends the converted text data to the server. This text data arrives at the server as input, and the server starts emotion recognition processing based on its content. Using the Microsoft Azure Emotion API, the user's emotional state is output. At this stage, an emotion recognition result indicating "irritation" is generated.

[0762] Step 4:

[0763] The server searches the database for relevant procedures based on the sentiment analysis results. Using a database management system like PostgreSQL, it extracts procedure information based on text and sentiment states. This search result is provided as output. This information is then used to generate the notification content for the next step.

[0764] Step 5:

[0765] The server adjusts the timing and content of notifications based on procedural information and emotional state results. Reminders are generated using the information presentation method, and the content is made concise and considerate, with particular attention paid to the user's frustration level. This notification is then sent to the user's device as the final output.

[0766] Step 6:

[0767] The terminal uses motion sensors to monitor the indoor environment. When the sensors detect an anomaly, they send that information to the server as input, and the procedure priority is reviewed. The results of this environmental monitoring by the sensors are used as additional data for adjusting procedures.

[0768] Step 7:

[0769] The server generates the necessary documents for the user's administrative procedures based on relevant information. Referencing past user information, the generated documents are provided to the user. As a final output, the user completes the procedure online using an electronic signature. This ensures the entire procedure is completed smoothly.

[0770] (Application Example 2)

[0771] 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".

[0772] In administrative procedures, users may experience frustration and anxiety because they receive notifications uniformly without considering their emotional state. Furthermore, the lack of timely notifications and procedural adjustments can cause delays in the process. Additionally, there is a problem in that procedures cannot proceed effectively when users are relaxed.

[0773] 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.

[0774] In this invention, the server includes a voice recognition means for receiving voice data and extracting procedural information, a monitoring means for acquiring environmental information from multiple sensors and determining procedural conditions, a document generation means for automatically generating documents by referring to past user information, and an emotion engine means for analyzing emotional states and optimizing notifications. This makes it possible to provide notifications and adjust procedures at the optimal timing based on the user's emotions.

[0775] "Speech recognition means" refers to a device or method that receives speech data and extracts and analyzes useful information from that data.

[0776] "Monitoring methods" refer to technologies that use sensors to collect information in order to understand environmental conditions and to make specific decisions based on that information.

[0777] "Information presentation means" refers to methods or devices used to notify or remind users, and their role is to provide information based on the schedule and importance of procedures.

[0778] A "document generation method" is a technology that collects necessary information based on past data and automatically creates documents suitable for a specific purpose.

[0779] An "electronic signature" is a digital signature used to approve procedures online, and is a method of securing user consent.

[0780] An "emotional engine means" is a device or method for analyzing a user's emotional state from information such as voice and facial expressions, and taking appropriate action based on the results.

[0781] This invention provides a smart system that automatically streamlines administrative procedures by allowing users to casually emit voice data. The main components of the system include voice recognition means, monitoring means, information presentation means, document generation means, electronic signature function, and emotion engine means.

[0782] The server receives voice data from the user via the microphone built into the smartphone or smart speaker, and converts it into text data using speech recognition technology. The software used includes the speech_recognition library, which can quickly and accurately extract information from the voice.

[0783] The speech-recognized data is then sent to the emotion engine, which analyzes the user's emotional state based on their speech content and tone. This process utilizes an emotion analysis pipeline based on the Transformers library as the emotion analysis model. This allows the system to determine whether the user is stressed, relaxed, or otherwise emotionally vulnerable.

[0784] As the user proceeds with the procedure, the monitoring system aggregates indoor environment data from multiple sensors and makes a determination of the conditions necessary for the appropriate procedure. This determines the optimal timing for sending notifications. The terminal then considers the results of the emotion engine and presents information to the user's smartphone at the most opportune moment.

[0785] Furthermore, the server retrieves past user information from the database and automatically generates the necessary procedural documents. The generated documents are then approved online via the user's electronic signature, completing the process.

[0786] For example, if a user says on their way home from work, "I'm worried about the application due next week," this system uses an emotion engine to sense the user's anxiety and, at a calm moment, provides details of the procedure and offers support suggestions. Another example of a specific prompt is, "How would a virtual assistant provide emotional support when I feel anxious about the next procedure?"

[0787] This will create an environment where users can naturally perform administrative procedures as part of their daily lives.

[0788] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0789] Step 1:

[0790] The server receives audio data as input through the terminal's microphone. Using speech recognition technology, it converts this audio data into text data. This process allows for the digital analysis of the user's speech.

[0791] Step 2:

[0792] The server inputs the analyzed text data into an emotion engine. Using a generative AI model, it analyzes the content and tone of speech to identify the user's emotional state (e.g., anxiety, stress, relaxation). This output determines the next action based on that emotion.

[0793] Step 3:

[0794] The device transmits environmental information acquired from multiple motion sensors to the server. The server analyzes the environmental conditions using monitoring tools based on this information and determines the optimal timing for notifications. Here, factors such as room temperature and ambient noise levels are considered to evaluate whether the environment reduces user stress.

[0795] Step 4:

[0796] Based on the results of the emotion engine and the analysis of environmental information, the server retrieves past user information from the database and automatically generates the necessary procedural documents. This ensures that the most appropriate documents are created for each type of procedure.

[0797] Step 5:

[0798] The server sends the generated procedural documents to the user's terminal. The terminal displays an interface for the user to enter an electronic signature, and the user signs the documents. Once this process is complete, the server completes the procedure online.

[0799] Step 6:

[0800] The device generates prompt messages to display notifications or procedural guidance tailored to the user's mood. For example, it can provide guidance using friendly language such as, "We will inform you about the next application procedure when you are relaxed." This allows users to proceed with the process naturally without feeling burdened.

[0801] 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.

[0802] 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.

[0803] 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.

[0804] 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.

[0805] 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.

[0806] 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.

[0807] 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.

[0808] 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.

[0809] 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."

[0810] 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.

[0811] 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.

[0812] 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.

[0813] 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.

[0814] 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.

[0815] 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.

[0816] 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 this memory.

[0817] 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.

[0818] 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.

[0819] 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.

[0820] 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.

[0821] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0822] The following is further disclosed regarding the embodiments described above.

[0823] (Claim 1)

[0824] A speech recognition means that receives audio data and extracts relevant procedural information from said audio data,

[0825] A monitoring means that acquires environmental information from multiple motion sensors and determines conditions for facilitating a procedure based on said environmental information,

[0826] A means of providing information to remind users based on the deadline and importance of the procedure,

[0827] A document generation method that automatically generates documents for administrative procedures by referring to user information saved in the past,

[0828] A means of obtaining user approval through electronic signatures and completing procedures online,

[0829] A system that includes this.

[0830] (Claim 2)

[0831] The system according to claim 1, which searches for a relevant procedure by referring to a database in order to identify the procedure information.

[0832] (Claim 3)

[0833] The system according to claim 1, which sends notifications to the user's device via a mobile terminal or wearable device to guide the user through the progress of a procedure.

[0834] "Example 1"

[0835] (Claim 1)

[0836] A recognition means that receives audio information and extracts related procedural information from said audio information,

[0837] A monitoring means that acquires environmental data from multiple detection devices and determines conditions for facilitating a procedure based on said environmental data,

[0838] A means of presenting information based on the deadline and importance of the procedure, and reminding users,

[0839] A generation means that automatically generates documents for administrative procedures by referring to user information stored in the past,

[0840] A means of obtaining user approval through electronic signatures and completing procedures online,

[0841] A method for generating documents based on past user data,

[0842] A system that includes this.

[0843] (Claim 2)

[0844] The system according to claim 1, which searches for a relevant procedure by referring to an information storage unit in order to identify the procedure information.

[0845] (Claim 3)

[0846] The system according to claim 1, which sends notifications to the user's device via a mobile information terminal or wearable information terminal to guide the user through the progress of a procedure.

[0847] "Application Example 1"

[0848] (Claim 1)

[0849] A speech recognition means that receives audio data and extracts relevant procedural information from said audio data,

[0850] A monitoring means that acquires environmental information from multiple motion sensors and determines conditions for facilitating a procedure based on said environmental information,

[0851] A means of providing information to remind users based on the deadline and importance of the procedure,

[0852] A document generation method that automatically generates documents for administrative procedures by referring to user information saved in the past,

[0853] A means of obtaining user approval through electronic signatures and completing procedures online,

[0854] A health management system that monitors the health status of users in the caregiving field and dynamically sets the priority of health management procedures,

[0855] A visual information presentation means that displays procedural information necessary for the user's visual device,

[0856] A system that includes this.

[0857] (Claim 2)

[0858] The system according to claim 1, which searches for a relevant procedure by referring to a database in order to identify the procedure information.

[0859] (Claim 3)

[0860] The system according to claim 1, which sends notifications to the user's device via a mobile terminal or wearable device to guide the user through the progress of a procedure.

[0861] "Example 2 of combining an emotion engine"

[0862] (Claim 1)

[0863] A speech recognition means that receives audio data and extracts relevant procedural information from said audio data,

[0864] A monitoring means that acquires environmental information from multiple motion sensors and determines conditions for facilitating a procedure based on said environmental information,

[0865] A means of providing information to remind users based on the deadline and importance of the procedure,

[0866] A document generation method that automatically generates documents for administrative procedures by referring to user information saved in the past,

[0867] A means of obtaining user approval through electronic signatures and completing procedures online,

[0868] An emotion recognition means that performs emotion analysis and adjusts the timing and content of notifications based on said emotion analysis,

[0869] A system that includes this.

[0870] (Claim 2)

[0871] The system according to claim 1, which searches for a relevant procedure by referring to a database in order to identify the procedure information.

[0872] (Claim 3)

[0873] The system according to claim 1, which sends notifications to the user's device via a mobile terminal or wearable device to guide the user through the progress of a procedure.

[0874] "Application example 2 when combining with an emotional engine"

[0875] (Claim 1)

[0876] A speech recognition means that receives audio data and extracts relevant procedural information from said audio data,

[0877] A monitoring means that acquires environmental information from multiple motion sensors and determines conditions for facilitating a procedure based on said environmental information,

[0878] A means of providing information to remind users based on the deadline and importance of the procedure,

[0879] A document generation method that automatically generates documents for administrative procedures by referring to user information saved in the past,

[0880] A means of obtaining user approval through electronic signatures and completing procedures online,

[0881] An emotion engine means that analyzes the user's emotional state and adjusts the timing and content of notifications based on the user's emotions,

[0882] A system that includes this.

[0883] (Claim 2)

[0884] The system according to claim 1, which searches for a relevant procedure by referring to a database in order to identify the procedure information, and optimizes the notification process taking into account the sentiment analysis results.

[0885] (Claim 3)

[0886] The system according to claim 1, which sends notifications to a user's device via a mobile terminal or wearable device and guides the user through the progress of a procedure based on their emotions. [Explanation of Symbols]

[0887] 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 speech recognition means that receives audio data and extracts relevant procedural information from said audio data, A monitoring means that acquires environmental information from multiple motion sensors and determines conditions for facilitating a procedure based on said environmental information, A means of providing information to remind users based on the deadline and importance of the procedure, A document generation method that automatically generates documents for administrative procedures by referring to user information saved in the past, A means of obtaining user approval through electronic signatures and completing procedures online, A system that includes this.

2. The system according to claim 1, which searches for a relevant procedure by referring to a database in order to identify the procedure information.

3. The system according to claim 1, which sends notifications to the user's device via a mobile terminal or wearable device to guide the user through the progress of a procedure.

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