System

Abstract

An object of a system according to an embodiment is to improve efficiency of a procedure performed by a resident.SOLUTION: A system according to an embodiment includes a procedure automation unit and a procedure optimization unit. The procedure automation unit automates a procedure to be performed by the resident. The procedure optimization unit optimizes the procedure automated by the procedure automation unit.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] With conventional technology, the procedures that residents go through at city halls are inefficient and there is room for improvement.

[0005] The system according to the embodiment aims to improve the efficiency of procedures carried out by residents. [Means for solving the problem]

[0006] The system according to the embodiment includes a procedure automation unit and a procedure optimization unit. The procedure automation unit automates procedures to be performed by residents. The procedure optimization unit optimizes the procedures automated by the procedure automation unit. [Effects of the Invention]

[0007] The system according to the embodiment can improve the efficiency of procedures carried out by residents. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. DETAILED DESCRIPTION OF THE INVENTION

[0009] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0010] First, the terms used in the following description will be explained.

[0011] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, the processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices 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), or a TPU (Tensor Processing Unit).

[0012] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0013] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0014] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, 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), and Bluetooth (registered trademark).

[0015] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0016] [First embodiment] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0017] 1, a 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.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0019] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0020] The reception device 38 includes a touch panel 38A and a microphone 38B, and receives user input. The touch panel 38A detects contact with a pointer (for example, a pen or a finger) to receive user input by the touch of the pointer. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 (see FIG. 2) acquires the data indicating the user input.

[0021] Output device 40 includes a display 40A and a speaker 40B, and presents data to a user by outputting the data in a form of expression that the user can perceive (e.g., audio and / or text). Display 40A displays visible information such as text and images in accordance with instructions from processor 46. Speaker 40B outputs audio in accordance with instructions from processor 46. Camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0022] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0023] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0024] 2, in the data processing device 12, a specific process 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" according to the technology of the present 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 process 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.

[0025] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0026] In the smart device 14, the specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The specific processing program 60 is used together with the specific processing program 56 by the data processing system 10. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart device 14 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0027] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device (e.g., a generation server) may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (prediction result, etc.) using the data generation model 58 by communicating with the server device having the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device owned by a user (e.g., a mobile phone, a robot, a home appliance, etc.). Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example 1) The procedure improvement system according to an embodiment of the present invention automates the procedures that residents must perform and optimizes them using a generation AI. This allows the procedure improvement system to streamline procedures for residents and improve convenience.

[0029] The procedure improvement system according to the embodiment includes a procedure automation unit and a procedure optimization unit. The procedure automation unit automates procedures that residents must perform. For example, the procedure automation unit enables procedures such as issuing a resident registration card and changing an address to be completed online. The procedure automation unit also allows residents to complete procedures simply by entering the necessary information. Furthermore, the procedure automation unit allows a generation AI to automate procedures based on the resident's instructions. For example, when a resident instructs the generation AI to "issue a resident registration card," the generation AI automates the procedure. The procedure optimization unit optimizes the procedures automated by the procedure automation unit. For example, the procedure optimization unit enables multiple procedures to be performed at once. Furthermore, the procedure optimization unit processes procedures in an optimal order to reduce the burden on the resident. Furthermore, the procedure optimization unit allows the generation AI to suggest an optimal procedure order based on the resident's procedure list. For example, when a resident instructs the generation AI to "change their address and issue a resident registration card at the same time," the generation AI performs the procedures in the optimal order. As a result, the procedure improvement system according to the embodiment can streamline procedures for residents and improve convenience. For example, residents will no longer need to visit their city or ward office, saving them time and effort. Also, by allowing them to complete multiple procedures at once, the burden of procedures can be reduced.

[0030] The procedure automation unit learns a resident's past procedure history and can predict and automatically prepare the next procedure. For example, the procedure automation unit uses a generation AI to analyze a resident's past procedure history and predict the next procedure. For example, if procedures for issuing resident registration certificates or changing addresses are performed frequently, the next procedure will be automatically prepared. The procedure automation unit also automatically prepares the necessary documents based on the resident's procedure history. For example, it automatically prepares the documents necessary for the next procedure based on documents the resident has submitted in the past. Furthermore, the procedure automation unit suggests the optimal procedure method based on the resident's procedure history. For example, it suggests the optimal method for the next procedure based on the method the resident has used in the past. This makes it possible to improve the efficiency of procedures by learning a resident's past procedure history and predicting and automatically preparing the next procedure.

[0031] The procedure automation unit analyzes the resident's voice input and allows the procedure to be completed with just voice instructions. For example, the procedure automation unit uses a generation AI to analyze the resident's voice input and automatically perform the necessary procedures. For example, the issuance of a resident registration card can be completed with just voice instructions. The procedure automation unit also automatically prepares the necessary documents based on the resident's voice instructions. For example, if a resident voices the instruction, "Please issue me a resident registration card," the generation AI will automatically perform the procedure. Furthermore, the procedure automation unit suggests the optimal procedure method based on the resident's voice input. For example, if a resident voices the instruction, "I would like to change my address," the generation AI will suggest the optimal procedure method. This allows the resident's voice input to be analyzed and the procedure to be completed with just voice instructions, improving the convenience of the procedure.

[0032] The procedure automation unit can also process other administrative services in bulk when automating resident procedures. For example, when the generation AI automates resident procedures, the procedure automation unit also processes tax returns and health insurance procedures in bulk. For example, tax returns are submitted at the same time as resident registration issuance. The procedure automation unit also processes other administrative services in bulk when automating resident procedures. For example, health insurance procedures are submitted at the same time as address changes. The procedure automation unit also processes other administrative services in bulk when automating resident procedures. For example, tax returns are submitted at the same time as resident registration issuance. This allows other administrative services to be processed in bulk when automating resident procedures, improving the efficiency of procedures.

[0033] When automating a resident's procedures, the procedure automation unit can coordinate with the procedural status of other residents and process common procedures in bulk. For example, when the generation AI automates a resident's procedures, the procedure automation unit coordinates with the procedural status of other residents and processes common procedures in bulk. For example, procedures for family members living at the same address are processed in bulk. Furthermore, when automating a resident's procedures, the procedure automation unit coordinates with the procedural status of other residents and processes common procedures in bulk. For example, procedures for family members living at the same address are processed in bulk. Furthermore, when automating a resident's procedures, the procedure automation unit coordinates with the procedural status of other residents and processes common procedures in bulk. For example, procedures for family members living at the same address are processed in bulk. This allows for the efficiency of procedures to be improved by automating a resident's procedures by coordinated with the procedural status of other residents and processing common procedures in bulk.

[0034] The procedure optimization unit can analyze a resident's past procedure data and propose the most efficient procedure pattern. For example, the procedure optimization unit uses a generation AI to analyze a resident's past procedure data and propose the most efficient procedure pattern. For example, issuing a resident registration card and changing an address at the same time. The procedure optimization unit also proposes the optimal procedure method based on the resident's procedure data. For example, it proposes the most efficient procedure method based on the procedure methods the resident has performed in the past. Furthermore, the procedure optimization unit proposes the optimal procedure sequence based on the resident's procedure data. For example, it proposes the most efficient procedure sequence based on the procedure sequence the resident has performed in the past. In this way, by analyzing a resident's past procedure data and proposing the most efficient procedure pattern, it is possible to improve the efficiency of procedures.

[0035] When optimizing resident procedures, the procedure optimization unit can automatically set procedure priorities and prioritize important procedures. For example, when the generation AI optimizes resident procedures, the procedure optimization unit automatically sets procedure priorities. For example, it may prioritize procedures that are highly urgent. Furthermore, when optimizing resident procedures, the procedure optimization unit suggests the optimal procedure method based on procedure priorities. For example, it may suggest a method that prioritizes important procedures. Furthermore, when optimizing resident procedures, the procedure optimization unit adjusts procedure priorities in real time. For example, it may prioritize procedures that are highly urgent. This makes it possible to improve procedural efficiency by automatically setting procedure priorities and prioritizing important procedures.

[0036] When optimizing a resident's procedures, the procedure optimization unit can coordinate with the procedures of other residents and optimize common procedures in bulk. For example, when the generation AI optimizes a resident's procedures, the procedure optimization unit coordinates with the procedures of other residents and optimizes common procedures in bulk. For example, it optimizes the procedures of family members living at the same address in bulk. Furthermore, when optimizing a resident's procedures, the procedure optimization unit coordinates with the procedures of other residents and optimizes common procedures in bulk. For example, it optimizes the procedures of family members living at the same address in bulk. Furthermore, when optimizing a resident's procedures, the procedure optimization unit coordinates with the procedures of other residents and optimizes common procedures in bulk. For example, it optimizes the procedures of family members living at the same address in bulk. In this way, when optimizing a resident's procedures, it coordinates with the procedures of other residents and optimizes common procedures in bulk, thereby improving the efficiency of procedures.

[0037] When optimizing resident procedures, the procedure optimization unit can also optimize other government services in bulk. For example, when the generation AI optimizes resident procedures, the procedure optimization unit also optimizes tax declarations and health insurance procedures in bulk. For example, tax declarations are submitted at the same time as resident registration is issued. The procedure optimization unit also optimizes other government services in bulk when optimizing resident procedures. For example, health insurance procedures are submitted at the same time as address changes. Furthermore, the procedure optimization unit also optimizes other government services in bulk when optimizing resident procedures. For example, tax declarations are submitted at the same time as resident registration is issued. This makes it possible to improve the efficiency of procedures by optimizing other government services in bulk when optimizing resident procedures.

[0038] When managing the progress of a procedure, the procedure automation unit can predict the progress based on the resident's procedure history and automatically guide the user to the next step. For example, the procedure automation unit uses a generation AI to predict the progress of a procedure based on the resident's procedure history and automatically guide the user to the next step. For example, it predicts the progress of a resident registration certificate issuance procedure and guides the user to the next required document. The procedure automation unit also suggests the optimal procedure method based on the resident's procedure history. For example, it guides the user to the next step based on the procedure method the resident has previously used. Furthermore, the procedure automation unit predicts the progress based on the resident's procedure history and guides the user to the next step in real time. For example, it predicts the progress of a resident registration certificate issuance procedure and guides the user to the next required document in real time. This makes it possible to improve the efficiency of procedures by predicting the progress based on the resident's procedure history and automatically guiding the user to the next step when managing the progress of a procedure.

[0039] When managing the progress of procedures, the procedure automation unit can monitor the resident's procedural status in real time and immediately notify if an abnormality occurs. For example, the procedure automation unit uses a generation AI to monitor the resident's procedural status in real time and immediately notify if an abnormality occurs. For example, it will notify if a procedure is delayed. The procedure automation unit also detects abnormalities based on the resident's procedural status and proposes necessary responses. For example, it will propose a quick response method if a procedure is delayed. Furthermore, the procedure automation unit monitors the resident's procedural status in real time and immediately notifies if an abnormality occurs and proposes necessary responses. For example, it will propose a quick response method if a procedure is delayed. This makes it possible to improve the efficiency of procedures by monitoring the resident's procedural status in real time and immediately notifying if an abnormality occurs when managing the progress of procedures.

[0040] When managing the progress of a procedure, the procedure automation unit can coordinate with the procedural status of other residents and manage common procedures in a centralized manner. For example, when the generation AI manages the progress of a resident's procedure, the procedure automation unit coordinates with the procedural status of other residents and manages common procedures in a centralized manner. For example, it manages the procedures of family members living at the same address in a centralized manner. Furthermore, when managing the progress of a resident's procedure, the procedure automation unit coordinates with the procedural status of other residents and manages common procedures in a centralized manner. For example, it manages the procedures of family members living at the same address in a centralized manner. Furthermore, when managing the progress of a resident's procedure, the procedure automation unit coordinates with the procedural status of other residents and manages common procedures in a centralized manner. For example, it manages the procedures of family members living at the same address in a centralized manner. This allows the efficiency of procedures to be improved by coordinating with the procedural status of other residents and managing common procedures in a centralized manner when managing the progress of a procedure.

[0041] The procedure automation unit can also manage other administrative services in a unified manner when managing the progress of a procedure. For example, when the generation AI manages the progress of a resident's procedure, the procedure automation unit also manages tax returns and health insurance procedures in a unified manner. For example, it manages tax returns at the same time as issuing a resident registration card. The procedure automation unit also manages other administrative services in a unified manner when managing the progress of a resident's procedure. For example, it manages health insurance procedures at the same time as changing an address. The procedure automation unit also manages other administrative services in a unified manner when managing the progress of a resident's procedure. For example, it manages tax returns at the same time as issuing a resident registration card. This allows other administrative services to be managed in a unified manner when managing the progress of a procedure, thereby improving the efficiency of the procedure.

[0042] When automatically providing guidance on the documents and information required for a procedure, the procedure automation unit can suggest the most appropriate documents based on the resident's procedure history. For example, the procedure automation unit uses a generation AI to automatically guide the resident through the documents required for a procedure based on their procedure history. For example, it may suggest the documents required for issuing a resident certificate. The procedure automation unit also suggests the most appropriate documents based on the resident's procedure history. For example, it may suggest the documents required for the next procedure based on documents that the resident has submitted in the past. Furthermore, the procedure automation unit provides guidance on the most appropriate documents in real time based on the resident's procedure history. For example, it may provide guidance on the documents required for issuing a resident certificate in real time. This makes it possible to improve the efficiency of procedures by suggesting the most appropriate documents based on the resident's procedure history when automatically providing guidance on the documents and information required for a procedure.

[0043] When automatically providing the documents and information required for a procedure, the procedure automation unit analyzes the resident's voice input and can guide them to the necessary documents using only voice instructions. For example, the procedure automation unit uses a generation AI to analyze the resident's voice input and automatically guide them to the documents required for a procedure. For example, the generation AI can guide them to the documents required for issuing a resident certificate using only voice instructions. The procedure automation unit also automatically guides them to the necessary documents based on the resident's voice instructions. For example, if a resident voice-instructs, "Please issue me a resident certificate," the generation AI will guide them to the documents required for that procedure. Furthermore, the procedure automation unit suggests the most appropriate documents based on the resident's voice input. For example, if a resident voice-instructs, "I would like to change my address," the generation AI will suggest the most appropriate documents. This improves the convenience of procedures by analyzing the resident's voice input when automatically providing the documents and information required for a procedure and guiding them to the necessary documents using only voice instructions.

[0044] When providing information and documents required for a procedure, the procedure automation unit can coordinate with the procedural status of other residents and provide common documents all at once. For example, when the generation AI guides a resident through documents required for a procedure, the procedure automation unit coordinates with the procedural status of other residents and provides common documents all at once. For example, it may provide documents for family members living at the same address all at once. Furthermore, when providing information and documents required for a procedure, the procedure automation unit coordinates with the procedural status of other residents and provides common documents all at once. For example, it may provide documents for family members living at the same address all at once. Furthermore, when providing information and documents required for a procedure, the procedure automation unit coordinates with the procedural status of other residents and provides common documents all at once. For example, it may provide documents for family members living at the same address all at once. This improves the efficiency of procedures by coordinating with the procedural status of other residents and providing common documents all at once when providing information and documents required for a procedure.

[0045] The procedure automation unit can also provide guidance on other government services at the same time as providing information and documents required for a procedure. For example, when the generation AI provides guidance on the documents required for a procedure to a resident, the procedure automation unit can also provide guidance on tax return and health insurance procedures at the same time. For example, it can provide guidance on tax return documents at the same time as issuing a resident registration card. Furthermore, when providing guidance on the documents required for a procedure to a resident, the procedure automation unit can also provide guidance on other government services at the same time. For example, it can provide guidance on health insurance procedures at the same time as issuing a resident registration card. Furthermore, when providing guidance on the documents required for a procedure to a resident, the procedure automation unit can also provide guidance on other government services at the same time. For example, it can provide guidance on tax return documents at the same time as issuing a resident registration card. This can improve the efficiency of procedures by providing guidance on other government services at the same time as providing guidance on the documents and information required for a procedure.

[0046] When providing procedural feedback, the procedure automation unit can suggest optimal feedback based on the resident's procedural history. In the procedure automation unit, for example, the generation AI provides procedural feedback based on the resident's procedural history. For example, it evaluates the resident's certificate issuance procedure and suggests areas for improvement. The procedure automation unit also suggests optimal feedback based on the resident's procedural history. For example, it suggests optimal feedback for the next procedure based on the results of the resident's past procedures. Furthermore, the procedure automation unit provides optimal feedback in real time based on the resident's procedural history. For example, it evaluates the resident's certificate issuance procedure and suggests areas for improvement in real time. As a result, when providing procedural feedback, it can suggest optimal feedback based on the resident's procedural history, thereby improving the efficiency of the procedure.

[0047] When providing feedback on procedures, the procedure automation unit can analyze the resident's voice input and provide feedback using only voice instructions. In the procedure automation unit, for example, the generation AI analyzes the resident's voice input and provides feedback on procedures. For example, an evaluation of the resident registration certificate issuance procedure and areas for improvement can be provided using only voice instructions. The procedure automation unit also provides optimal feedback based on the resident's voice instructions. For example, if a resident gives a voice instruction such as, "Please tell me your evaluation of the resident registration certificate issuance procedure," the generation AI provides that feedback. Furthermore, the procedure automation unit provides optimal feedback in real time based on the resident's voice input. For example, an evaluation of the resident registration certificate issuance procedure and areas for improvement can be provided in real time. This makes it possible to improve the convenience of procedures by analyzing the resident's voice input and providing feedback using only voice instructions when providing feedback on procedures.

[0048] When providing feedback on a procedure, the procedure automation unit can coordinate with the procedural status of other residents and provide common feedback in bulk. For example, when the generation AI provides feedback on a resident's procedure, the procedure automation unit coordinates with the procedural status of other residents and provides common feedback in bulk. For example, feedback for family members living at the same address is provided in bulk. Furthermore, when providing feedback on a resident's procedure, the procedure automation unit coordinates with the procedural status of other residents and provides common feedback in bulk. For example, feedback for family members living at the same address is provided in bulk. Furthermore, when providing feedback on a resident's procedure, the procedure automation unit coordinates with the procedural status of other residents and provides common feedback in bulk. For example, feedback for family members living at the same address is provided in bulk. This allows the efficiency of procedures to be improved by coordinating with the procedural status of other residents and providing common feedback in bulk when providing feedback on a procedure.

[0049] When providing feedback on a procedure, the procedure automation unit can also provide feedback on other administrative services in a lump sum. For example, when the generation AI provides feedback on a resident's procedure, the procedure automation unit also provides feedback on tax returns and health insurance procedures in a lump sum. For example, feedback on tax returns is provided at the same time as the issuance of a resident registration card. Furthermore, when providing feedback on a resident's procedure, the procedure automation unit also provides feedback on other administrative services in a lump sum. For example, feedback on health insurance returns is provided at the same time as a change of address. Furthermore, when providing feedback on a resident's procedure, the procedure automation unit also provides feedback on other administrative services in a lump sum. For example, feedback on tax returns is provided at the same time as the issuance of a resident registration card. In this way, by providing feedback on other administrative services in a lump sum when providing feedback on a procedure, the efficiency of the procedure can be improved.

[0050] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0051] When automating a resident's procedures, the procedure automation unit can coordinate with the procedure status of other residents and process common procedures in a lump sum. For example, procedures for family members living at the same address can be processed in a lump sum. Furthermore, when automating a resident's procedures, the procedure automation unit can coordinate with the procedure status of other residents and process common procedures in a lump sum. For example, procedures for family members living at the same address can be processed in a lump sum. Furthermore, when automating a resident's procedures, the procedure automation unit can coordinate with the procedure status of other residents and process common procedures in a lump sum. For example, procedures for family members living at the same address can be processed in a lump sum. This makes it possible to improve the efficiency of procedures by automating a resident's procedures by coordinate with the procedure status of other residents and process common procedures in a lump sum.

[0052] When automating resident procedures, the procedure automation unit can also process other government services in bulk. For example, when the generation AI automates resident procedures, it also processes tax returns and health insurance procedures in bulk. For example, tax returns are submitted at the same time as resident registration issuance. The procedure automation unit also processes other government services in bulk when automating resident procedures. For example, health insurance procedures are submitted at the same time as address changes. The procedure automation unit also processes other government services in bulk when automating resident procedures. For example, tax returns are submitted at the same time as resident registration issuance. This allows other government services to be processed in bulk when automating resident procedures, improving the efficiency of procedures.

[0053] When automating a resident's procedures, the procedure automation unit can coordinate with the procedure status of other residents and manage common procedures in a centralized manner. For example, when the generation AI manages the progress of a resident's procedures, it coordinates with the procedure status of other residents and manages common procedures in a centralized manner. For example, it manages the procedures of family members living at the same address in a centralized manner. Furthermore, when managing the progress of a resident's procedures, the procedure automation unit coordinates with the procedure status of other residents and manages common procedures in a centralized manner. For example, it manages the procedures of family members living at the same address in a centralized manner. Furthermore, when managing the progress of a resident's procedures, the procedure automation unit coordinates with the procedure status of other residents and manages common procedures in a centralized manner. For example, it manages the procedures of family members living at the same address in a centralized manner. This allows the efficiency of procedures to be improved by coordinating with the procedure status of other residents and managing common procedures in a centralized manner when managing the progress of procedures.

[0054] When automating resident procedures, the procedure automation unit can also manage other administrative services in one place. For example, when the generation AI manages the progress of a resident's procedures, it also manages tax returns and health insurance procedures in one place. For example, it manages tax returns at the same time as issuing a resident registration card. The procedure automation unit also manages other administrative services in one place when managing the progress of a resident's procedures. For example, it manages health insurance procedures at the same time as issuing a resident registration card. The procedure automation unit also manages other administrative services in one place when managing the progress of a resident's procedures. For example, it manages tax returns at the same time as issuing a resident registration card. This allows other administrative services to be managed in one place when managing the progress of a procedure, improving the efficiency of the procedure.

[0055] When automating resident procedures and managing the progress of procedures, the procedure automation unit can predict progress based on the resident's procedure history and automatically guide the resident to the next step. For example, the generation AI predicts the progress of a procedure based on the resident's procedure history and automatically guides the resident to the next step. For example, it predicts the progress of a resident registration certificate issuance procedure and guides the resident to the next required document. The procedure automation unit also suggests the optimal procedure method based on the resident's procedure history. For example, it guides the resident to the next step based on the procedure method the resident has used in the past. Furthermore, the procedure automation unit predicts progress based on the resident's procedure history and guides the resident to the next step in real time. For example, it predicts the progress of a resident registration certificate issuance procedure and guides the resident to the next required document in real time. This makes it possible to improve the efficiency of procedures by predicting progress based on the resident's procedure history and automatically guiding the resident to the next step when managing the progress of procedures.

[0056] When automating resident procedures, the procedure automation unit can monitor the resident's procedural status in real time and immediately notify if an abnormality occurs when managing the progress of the procedure. For example, the generation AI monitors the resident's procedural status in real time and immediately notifies if an abnormality occurs. For example, it can notify if the procedure is delayed. The procedure automation unit also detects abnormalities based on the resident's procedural status and suggests necessary responses. For example, it can suggest a quick response method if the procedure is delayed. Furthermore, the procedure automation unit monitors the resident's procedural status in real time and immediately notifies if an abnormality occurs and suggests necessary responses. For example, it can suggest a quick response method if the procedure is delayed. This makes it possible to improve the efficiency of procedures by monitoring the resident's procedural status in real time and immediately notifying if an abnormality occurs when managing the progress of the procedure.

[0057] The processing flow of the first embodiment will be briefly explained below.

[0058] Step 1: The procedure automation unit automates the procedures that residents must perform. For example, procedures such as issuing a resident registration card or changing an address can be completed online, and residents can complete the procedure simply by entering the necessary information. The generation AI also automates procedures based on the resident's instructions. For example, if a resident instructs the generation AI to "issue a resident registration card," the generation AI will automate the procedure. Step 2: The procedure optimization unit optimizes the procedures automated by the procedure automation unit. For example, it allows multiple procedures to be performed at once, and processes the procedures in the optimal order to reduce the burden on residents. Furthermore, the generation AI suggests the optimal procedure order based on the resident's procedure list. For example, if a resident indicates that they would like to "change their address and issue a resident registration card at the same time," the generation AI will carry out the procedures in the optimal order.

[0059] (Example 2) The procedure improvement system according to an embodiment of the present invention automates the procedures that residents must perform and optimizes them using a generation AI. This allows the procedure improvement system to streamline procedures for residents and improve convenience.

[0060] The procedure improvement system according to the embodiment includes a procedure automation unit and a procedure optimization unit. The procedure automation unit automates procedures that residents must perform. For example, the procedure automation unit enables procedures such as issuing a resident registration card and changing an address to be completed online. The procedure automation unit also allows residents to complete procedures simply by entering the necessary information. Furthermore, the procedure automation unit allows a generation AI to automate procedures based on the resident's instructions. For example, when a resident instructs the generation AI to "issue a resident registration card," the generation AI automates the procedure. The procedure optimization unit optimizes the procedures automated by the procedure automation unit. For example, the procedure optimization unit enables multiple procedures to be performed at once. Furthermore, the procedure optimization unit processes procedures in an optimal order to reduce the burden on the resident. Furthermore, the procedure optimization unit allows the generation AI to suggest an optimal procedure order based on the resident's procedure list. For example, when a resident instructs the generation AI to "change their address and issue a resident registration card at the same time," the generation AI performs the procedures in the optimal order. As a result, the procedure improvement system according to the embodiment can streamline procedures for residents and improve convenience. For example, residents will no longer need to visit their city or ward office, saving them time and effort. Also, by allowing them to complete multiple procedures at once, the burden of procedures can be reduced.

[0061] The procedure automation unit learns a resident's past procedure history and can predict and automatically prepare the next procedure. For example, the procedure automation unit uses a generation AI to analyze a resident's past procedure history and predict the next procedure. For example, if procedures for issuing resident registration certificates or changing addresses are performed frequently, the next procedure will be automatically prepared. The procedure automation unit also automatically prepares the necessary documents based on the resident's procedure history. For example, it automatically prepares the documents necessary for the next procedure based on documents the resident has submitted in the past. Furthermore, the procedure automation unit suggests the optimal procedure method based on the resident's procedure history. For example, it suggests the optimal method for the next procedure based on the method the resident has used in the past. This makes it possible to improve the efficiency of procedures by learning a resident's past procedure history and predicting and automatically preparing the next procedure.

[0062] The procedure automation unit analyzes the resident's voice input and allows the procedure to be completed with just voice instructions. For example, the procedure automation unit uses a generation AI to analyze the resident's voice input and automatically perform the necessary procedures. For example, the issuance of a resident registration card can be completed with just voice instructions. The procedure automation unit also automatically prepares the necessary documents based on the resident's voice instructions. For example, if a resident voices the instruction, "Please issue me a resident registration card," the generation AI will automatically perform the procedure. Furthermore, the procedure automation unit suggests the optimal procedure method based on the resident's voice input. For example, if a resident voices the instruction, "I would like to change my address," the generation AI will suggest the optimal procedure method. This allows the resident's voice input to be analyzed and the procedure to be completed with just voice instructions, improving the convenience of the procedure.

[0063] The procedure automation unit can use an emotion estimation function to estimate a resident's stress level when performing a procedure and provide an interface to reduce stress. For example, the procedure automation unit uses a generation AI to analyze the resident's facial expressions and voice to estimate the resident's stress level when performing a procedure. For example, if stress is high, it provides a relaxing interface. The procedure automation unit also suggests the optimal procedure method based on the resident's stress level. For example, it suggests performing the procedure in a way that reduces stress. Furthermore, the procedure automation unit monitors the resident's stress level in real time and adjusts the interface as necessary. For example, if stress increases, it changes the interface to provide a relaxing environment. In this way, the burden of procedures can be reduced by estimating the resident's stress level and providing an interface to reduce stress.

[0064] The procedure automation unit can also process other administrative services in bulk when automating resident procedures. For example, when the generation AI automates resident procedures, the procedure automation unit also processes tax returns and health insurance procedures in bulk. For example, tax returns are submitted at the same time as resident registration issuance. The procedure automation unit also processes other administrative services in bulk when automating resident procedures. For example, health insurance procedures are submitted at the same time as address changes. The procedure automation unit also processes other administrative services in bulk when automating resident procedures. For example, tax returns are submitted at the same time as resident registration issuance. This allows other administrative services to be processed in bulk when automating resident procedures, improving the efficiency of procedures.

[0065] When automating a resident's procedures, the procedure automation unit can coordinate with the procedural status of other residents and process common procedures in bulk. For example, when the generation AI automates a resident's procedures, the procedure automation unit coordinates with the procedural status of other residents and processes common procedures in bulk. For example, procedures for family members living at the same address are processed in bulk. Furthermore, when automating a resident's procedures, the procedure automation unit coordinates with the procedural status of other residents and processes common procedures in bulk. For example, procedures for family members living at the same address are processed in bulk. Furthermore, when automating a resident's procedures, the procedure automation unit coordinates with the procedural status of other residents and processes common procedures in bulk. For example, procedures for family members living at the same address are processed in bulk. This allows for the efficiency of procedures to be improved by automating a resident's procedures by coordinated with the procedural status of other residents and processing common procedures in bulk.

[0066] The procedure automation unit can use an emotion estimation function to monitor the emotions of residents when performing procedures in real time and provide guidance to elicit positive emotions. For example, the procedure automation unit uses a generative AI to analyze the resident's facial expressions and voice and monitor the emotions of residents when performing procedures in real time. For example, it provides guidance to elicit positive emotions. The procedure automation unit also suggests the optimal procedure method based on the resident's emotions. For example, it suggests performing the procedure in a way that elicits positive emotions. Furthermore, the procedure automation unit monitors the resident's emotions in real time and provides guidance as needed. For example, it provides guidance to elicit positive emotions. In this way, the burden of procedures can be reduced by monitoring the resident's emotions in real time and providing guidance to elicit positive emotions.

[0067] The procedure optimization unit can analyze a resident's past procedure data and propose the most efficient procedure pattern. For example, the procedure optimization unit uses a generation AI to analyze a resident's past procedure data and propose the most efficient procedure pattern. For example, issuing a resident registration card and changing an address at the same time. The procedure optimization unit also proposes the optimal procedure method based on the resident's procedure data. For example, it proposes the most efficient procedure method based on the procedure methods the resident has performed in the past. Furthermore, the procedure optimization unit proposes the optimal procedure sequence based on the resident's procedure data. For example, it proposes the most efficient procedure sequence based on the procedure sequence the resident has performed in the past. In this way, by analyzing a resident's past procedure data and proposing the most efficient procedure pattern, it is possible to improve the efficiency of procedures.

[0068] When optimizing resident procedures, the procedure optimization unit can automatically set procedure priorities and prioritize important procedures. For example, when the generation AI optimizes resident procedures, the procedure optimization unit automatically sets procedure priorities. For example, it may prioritize procedures that are highly urgent. Furthermore, when optimizing resident procedures, the procedure optimization unit suggests the optimal procedure method based on procedure priorities. For example, it may suggest a method that prioritizes important procedures. Furthermore, when optimizing resident procedures, the procedure optimization unit adjusts procedure priorities in real time. For example, it may prioritize procedures that are highly urgent. This makes it possible to improve procedural efficiency by automatically setting procedure priorities and prioritizing important procedures.

[0069] The procedure optimization unit uses the emotion estimation function to analyze the emotions of residents when performing procedures and can propose a procedure sequence that is less emotionally burdensome. For example, the procedure optimization unit uses a generation AI to analyze the emotions of residents and propose a procedure sequence that is less emotionally burdensome. For example, performing procedures in an order that causes less stress. The procedure optimization unit also proposes the optimal procedure method based on the resident's emotions. For example, it suggests performing procedures in an order that causes less emotional stress. Furthermore, the procedure optimization unit monitors the resident's emotions in real time and adjusts the procedure sequence as necessary. For example, it performs procedures in an order that causes less stress. In this way, the burden of procedures can be reduced by analyzing the resident's emotions and proposing a procedure sequence that causes less emotional stress.

[0070] When optimizing a resident's procedures, the procedure optimization unit can coordinate with the procedures of other residents and optimize common procedures in bulk. For example, when the generation AI optimizes a resident's procedures, the procedure optimization unit coordinates with the procedures of other residents and optimizes common procedures in bulk. For example, it optimizes the procedures of family members living at the same address in bulk. Furthermore, when optimizing a resident's procedures, the procedure optimization unit coordinates with the procedures of other residents and optimizes common procedures in bulk. For example, it optimizes the procedures of family members living at the same address in bulk. Furthermore, when optimizing a resident's procedures, the procedure optimization unit coordinates with the procedures of other residents and optimizes common procedures in bulk. For example, it optimizes the procedures of family members living at the same address in bulk. In this way, when optimizing a resident's procedures, it coordinates with the procedures of other residents and optimizes common procedures in bulk, thereby improving the efficiency of procedures.

[0071] When optimizing resident procedures, the procedure optimization unit can also optimize other government services in bulk. For example, when the generation AI optimizes resident procedures, the procedure optimization unit also optimizes tax declarations and health insurance procedures in bulk. For example, tax declarations are submitted at the same time as resident registration is issued. The procedure optimization unit also optimizes other government services in bulk when optimizing resident procedures. For example, health insurance procedures are submitted at the same time as address changes. Furthermore, the procedure optimization unit also optimizes other government services in bulk when optimizing resident procedures. For example, tax declarations are submitted at the same time as resident registration is issued. This makes it possible to improve the efficiency of procedures by optimizing other government services in bulk when optimizing resident procedures.

[0072] The procedure optimization unit uses the emotion estimation function to monitor the emotions of residents when performing procedures in real time and can provide guidance to elicit positive emotions. For example, the procedure optimization unit uses a generative AI to analyze the resident's facial expressions and voice and monitor the emotions of residents when performing procedures in real time. For example, it provides guidance to elicit positive emotions. The procedure optimization unit also suggests the optimal procedure method based on the resident's emotions. For example, it suggests performing the procedure in a way that elicits positive emotions. Furthermore, the procedure optimization unit monitors the resident's emotions in real time and provides guidance as needed. For example, it provides guidance to elicit positive emotions. In this way, the burden of procedures can be reduced by monitoring the resident's emotions in real time and providing guidance to elicit positive emotions.

[0073] When managing the progress of a procedure, the procedure automation unit can predict the progress based on the resident's procedure history and automatically guide the user to the next step. For example, the procedure automation unit uses a generation AI to predict the progress of a procedure based on the resident's procedure history and automatically guide the user to the next step. For example, it predicts the progress of a resident registration certificate issuance procedure and guides the user to the next required document. The procedure automation unit also suggests the optimal procedure method based on the resident's procedure history. For example, it guides the user to the next step based on the procedure method the resident has previously used. Furthermore, the procedure automation unit predicts the progress based on the resident's procedure history and guides the user to the next step in real time. For example, it predicts the progress of a resident registration certificate issuance procedure and guides the user to the next required document in real time. This makes it possible to improve the efficiency of procedures by predicting the progress based on the resident's procedure history and automatically guiding the user to the next step when managing the progress of a procedure.

[0074] When managing the progress of procedures, the procedure automation unit can monitor the resident's procedural status in real time and immediately notify if an abnormality occurs. For example, the procedure automation unit uses a generation AI to monitor the resident's procedural status in real time and immediately notify if an abnormality occurs. For example, it will notify if a procedure is delayed. The procedure automation unit also detects abnormalities based on the resident's procedural status and proposes necessary responses. For example, it will propose a quick response method if a procedure is delayed. Furthermore, the procedure automation unit monitors the resident's procedural status in real time and immediately notifies if an abnormality occurs and proposes necessary responses. For example, it will propose a quick response method if a procedure is delayed. This makes it possible to improve the efficiency of procedures by monitoring the resident's procedural status in real time and immediately notifying if an abnormality occurs when managing the progress of procedures.

[0075] The procedure automation unit uses an emotion estimation function to analyze the emotions of residents when performing procedures and can propose a progress management method that is less emotionally burdensome. For example, the procedure automation unit uses a generation AI to analyze the emotions of residents and propose a progress management method that is less emotionally burdensome. For example, it proposes a progress management method that is less stressful. The procedure automation unit also proposes an optimal progress management method based on the emotions of the resident. For example, it proposes to manage progress in a way that is less emotionally burdensome. Furthermore, the procedure automation unit monitors the emotions of residents in real time and adjusts the progress management method as necessary. For example, it manages progress in a way that is less stressful. In this way, the burden of procedures can be reduced by analyzing the emotions of residents and proposing a progress management method that is less emotionally burdensome.

[0076] When managing the progress of a procedure, the procedure automation unit can coordinate with the procedural status of other residents and manage common procedures in a centralized manner. For example, when the generation AI manages the progress of a resident's procedure, the procedure automation unit coordinates with the procedural status of other residents and manages common procedures in a centralized manner. For example, it manages the procedures of family members living at the same address in a centralized manner. Furthermore, when managing the progress of a resident's procedure, the procedure automation unit coordinates with the procedural status of other residents and manages common procedures in a centralized manner. For example, it manages the procedures of family members living at the same address in a centralized manner. Furthermore, when managing the progress of a resident's procedure, the procedure automation unit coordinates with the procedural status of other residents and manages common procedures in a centralized manner. For example, it manages the procedures of family members living at the same address in a centralized manner. This allows the efficiency of procedures to be improved by coordinating with the procedural status of other residents and managing common procedures in a centralized manner when managing the progress of a procedure.

[0077] The procedure automation unit can also manage other administrative services in a unified manner when managing the progress of a procedure. For example, when the generation AI manages the progress of a resident's procedure, the procedure automation unit also manages tax returns and health insurance procedures in a unified manner. For example, it manages tax returns at the same time as issuing a resident registration card. The procedure automation unit also manages other administrative services in a unified manner when managing the progress of a resident's procedure. For example, it manages health insurance procedures at the same time as changing an address. The procedure automation unit also manages other administrative services in a unified manner when managing the progress of a resident's procedure. For example, it manages tax returns at the same time as issuing a resident registration card. This allows other administrative services to be managed in a unified manner when managing the progress of a procedure, thereby improving the efficiency of the procedure.

[0078] The procedure automation unit can use an emotion estimation function to monitor the emotions of residents when performing procedures in real time and provide guidance to elicit positive emotions. For example, the procedure automation unit uses a generative AI to analyze the resident's facial expressions and voice and monitor the emotions of residents when performing procedures in real time. For example, it provides guidance to elicit positive emotions. The procedure automation unit also suggests the optimal procedure method based on the resident's emotions. For example, it suggests performing the procedure in a way that elicits positive emotions. Furthermore, the procedure automation unit monitors the resident's emotions in real time and provides guidance as needed. For example, it provides guidance to elicit positive emotions. In this way, the burden of procedures can be reduced by monitoring the resident's emotions in real time and providing guidance to elicit positive emotions.

[0079] When automatically providing guidance on the documents and information required for a procedure, the procedure automation unit can suggest the most appropriate documents based on the resident's procedure history. For example, the procedure automation unit uses a generation AI to automatically guide the resident through the documents required for a procedure based on their procedure history. For example, it may suggest the documents required for issuing a resident certificate. The procedure automation unit also suggests the most appropriate documents based on the resident's procedure history. For example, it may suggest the documents required for the next procedure based on documents that the resident has submitted in the past. Furthermore, the procedure automation unit provides guidance on the most appropriate documents in real time based on the resident's procedure history. For example, it may provide guidance on the documents required for issuing a resident certificate in real time. This makes it possible to improve the efficiency of procedures by suggesting the most appropriate documents based on the resident's procedure history when automatically providing guidance on the documents and information required for a procedure.

[0080] When automatically providing the documents and information required for a procedure, the procedure automation unit analyzes the resident's voice input and can guide them to the necessary documents using only voice instructions. For example, the procedure automation unit uses a generation AI to analyze the resident's voice input and automatically guide them to the documents required for a procedure. For example, the generation AI can guide them to the documents required for issuing a resident certificate using only voice instructions. The procedure automation unit also automatically guides them to the necessary documents based on the resident's voice instructions. For example, if a resident voice-instructs, "Please issue me a resident certificate," the generation AI will guide them to the documents required for that procedure. Furthermore, the procedure automation unit suggests the most appropriate documents based on the resident's voice input. For example, if a resident voice-instructs, "I would like to change my address," the generation AI will suggest the most appropriate documents. This improves the convenience of procedures by analyzing the resident's voice input when automatically providing the documents and information required for a procedure and guiding them to the necessary documents using only voice instructions.

[0081] The procedure automation unit uses an emotion estimation function to analyze the emotions of residents when carrying out procedures and can suggest a method of guiding residents through documents that is less emotionally burdensome. For example, the procedure automation unit uses a generation AI to analyze the emotions of residents and suggest a method of guiding residents through documents that is less emotionally burdensome. For example, it suggests a method of guiding residents through documents that is less stressful. The procedure automation unit also suggests the optimal method of guiding residents through documents based on the resident's emotions. For example, it suggests guiding residents through documents in a way that is less emotionally burdensome. Furthermore, the procedure automation unit monitors the resident's emotions in real time and adjusts the method of guiding residents through documents as necessary. For example, it guides residents through documents in a way that is less stressful. In this way, the burden of procedures can be reduced by analyzing the resident's emotions and suggesting a method of guiding residents through documents that is less emotionally burdensome.

[0082] When providing information and documents required for a procedure, the procedure automation unit can coordinate with the procedural status of other residents and provide common documents all at once. For example, when the generation AI guides a resident through documents required for a procedure, the procedure automation unit coordinates with the procedural status of other residents and provides common documents all at once. For example, it may provide documents for family members living at the same address all at once. Furthermore, when providing information and documents required for a procedure, the procedure automation unit coordinates with the procedural status of other residents and provides common documents all at once. For example, it may provide documents for family members living at the same address all at once. Furthermore, when providing information and documents required for a procedure, the procedure automation unit coordinates with the procedural status of other residents and provides common documents all at once. For example, it may provide documents for family members living at the same address all at once. This improves the efficiency of procedures by coordinating with the procedural status of other residents and providing common documents all at once when providing information and documents required for a procedure.

[0083] The procedure automation unit can also provide guidance on other government services at the same time as providing information and documents required for a procedure. For example, when the generation AI provides guidance on the documents required for a procedure to a resident, the procedure automation unit can also provide guidance on tax return and health insurance procedures at the same time. For example, it can provide guidance on tax return documents at the same time as issuing a resident registration card. Furthermore, when providing guidance on the documents required for a procedure to a resident, the procedure automation unit can also provide guidance on other government services at the same time. For example, it can provide guidance on health insurance procedures at the same time as issuing a resident registration card. Furthermore, when providing guidance on the documents required for a procedure to a resident, the procedure automation unit can also provide guidance on other government services at the same time. For example, it can provide guidance on tax return documents at the same time as issuing a resident registration card. This can improve the efficiency of procedures by providing guidance on other government services at the same time as providing guidance on the documents and information required for a procedure.

[0084] The procedure automation unit can use an emotion estimation function to monitor the emotions of residents when performing procedures in real time and provide guidance to elicit positive emotions. For example, the procedure automation unit uses a generative AI to analyze the resident's facial expressions and voice and monitor the emotions of residents when performing procedures in real time. For example, it provides guidance to elicit positive emotions. The procedure automation unit also suggests the optimal procedure method based on the resident's emotions. For example, it suggests performing the procedure in a way that elicits positive emotions. Furthermore, the procedure automation unit monitors the resident's emotions in real time and provides guidance as needed. For example, it provides guidance to elicit positive emotions. In this way, the burden of procedures can be reduced by monitoring the resident's emotions in real time and providing guidance to elicit positive emotions.

[0085] When providing procedural feedback, the procedure automation unit can suggest optimal feedback based on the resident's procedural history. In the procedure automation unit, for example, the generation AI provides procedural feedback based on the resident's procedural history. For example, it evaluates the resident's certificate issuance procedure and suggests areas for improvement. The procedure automation unit also suggests optimal feedback based on the resident's procedural history. For example, it suggests optimal feedback for the next procedure based on the results of the resident's past procedures. Furthermore, the procedure automation unit provides optimal feedback in real time based on the resident's procedural history. For example, it evaluates the resident's certificate issuance procedure and suggests areas for improvement in real time. As a result, when providing procedural feedback, it can suggest optimal feedback based on the resident's procedural history, thereby improving the efficiency of the procedure.

[0086] When providing feedback on procedures, the procedure automation unit can analyze the resident's voice input and provide feedback using only voice instructions. In the procedure automation unit, for example, the generation AI analyzes the resident's voice input and provides feedback on procedures. For example, an evaluation of the resident registration certificate issuance procedure and areas for improvement can be provided using only voice instructions. The procedure automation unit also provides optimal feedback based on the resident's voice instructions. For example, if a resident gives a voice instruction such as, "Please tell me your evaluation of the resident registration certificate issuance procedure," the generation AI provides that feedback. Furthermore, the procedure automation unit provides optimal feedback in real time based on the resident's voice input. For example, an evaluation of the resident registration certificate issuance procedure and areas for improvement can be provided in real time. This makes it possible to improve the convenience of procedures by analyzing the resident's voice input and providing feedback using only voice instructions when providing feedback on procedures.

[0087] The procedure automation unit uses an emotion estimation function to analyze the emotions of residents when performing procedures and can suggest a feedback method that is less emotionally burdensome. For example, the procedure automation unit uses a generation AI to analyze the emotions of residents and suggest a feedback method that is less emotionally burdensome. For example, it suggests a feedback method that is less stressful. The procedure automation unit also suggests the optimal feedback method based on the resident's emotions. For example, it suggests providing feedback in a less emotionally burdensome way. Furthermore, the procedure automation unit monitors the resident's emotions in real time and adjusts the feedback method as necessary. For example, it provides feedback in a less stressful way. In this way, the burden of procedures can be reduced by analyzing the resident's emotions and suggesting a feedback method that is less emotionally burdensome.

[0088] When providing feedback on a procedure, the procedure automation unit can coordinate with the procedural status of other residents and provide common feedback in bulk. For example, when the generation AI provides feedback on a resident's procedure, the procedure automation unit coordinates with the procedural status of other residents and provides common feedback in bulk. For example, feedback for family members living at the same address is provided in bulk. Furthermore, when providing feedback on a resident's procedure, the procedure automation unit coordinates with the procedural status of other residents and provides common feedback in bulk. For example, feedback for family members living at the same address is provided in bulk. Furthermore, when providing feedback on a resident's procedure, the procedure automation unit coordinates with the procedural status of other residents and provides common feedback in bulk. For example, feedback for family members living at the same address is provided in bulk. This allows the efficiency of procedures to be improved by coordinating with the procedural status of other residents and providing common feedback in bulk when providing feedback on a procedure.

[0089] When providing feedback on a procedure, the procedure automation unit can also provide feedback on other administrative services in a lump sum. For example, when the generation AI provides feedback on a resident's procedure, the procedure automation unit also provides feedback on tax returns and health insurance procedures in a lump sum. For example, feedback on tax returns is provided at the same time as the issuance of a resident registration card. Furthermore, when providing feedback on a resident's procedure, the procedure automation unit also provides feedback on other administrative services in a lump sum. For example, feedback on health insurance returns is provided at the same time as a change of address. Furthermore, when providing feedback on a resident's procedure, the procedure automation unit also provides feedback on other administrative services in a lump sum. For example, feedback on tax returns is provided at the same time as the issuance of a resident registration card. In this way, by providing feedback on other administrative services in a lump sum when providing feedback on a procedure, the efficiency of the procedure can be improved.

[0090] The procedure automation unit can use an emotion estimation function to monitor the emotions of residents when performing procedures in real time and provide guidance to elicit positive emotions. For example, the procedure automation unit uses a generative AI to analyze the resident's facial expressions and voice and monitor the emotions of residents when performing procedures in real time. For example, it provides guidance to elicit positive emotions. The procedure automation unit also suggests the optimal procedure method based on the resident's emotions. For example, it suggests performing the procedure in a way that elicits positive emotions. Furthermore, the procedure automation unit monitors the resident's emotions in real time and provides guidance as needed. For example, it provides guidance to elicit positive emotions. In this way, the burden of procedures can be reduced by monitoring the resident's emotions in real time and providing guidance to elicit positive emotions.

[0091] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0092] When automating a resident's procedures, the procedure automation unit can coordinate with the procedure status of other residents and process common procedures in a lump sum. For example, procedures for family members living at the same address can be processed in a lump sum. Furthermore, when automating a resident's procedures, the procedure automation unit can coordinate with the procedure status of other residents and process common procedures in a lump sum. For example, procedures for family members living at the same address can be processed in a lump sum. Furthermore, when automating a resident's procedures, the procedure automation unit can coordinate with the procedure status of other residents and process common procedures in a lump sum. For example, procedures for family members living at the same address can be processed in a lump sum. This makes it possible to improve the efficiency of procedures by automating a resident's procedures by coordinate with the procedure status of other residents and process common procedures in a lump sum.

[0093] When automating resident procedures, the procedure automation unit can also process other government services in bulk. For example, when the generation AI automates resident procedures, it also processes tax returns and health insurance procedures in bulk. For example, tax returns are submitted at the same time as resident registration issuance. The procedure automation unit also processes other government services in bulk when automating resident procedures. For example, health insurance procedures are submitted at the same time as address changes. The procedure automation unit also processes other government services in bulk when automating resident procedures. For example, tax returns are submitted at the same time as resident registration issuance. This allows other government services to be processed in bulk when automating resident procedures, improving the efficiency of procedures.

[0094] When automating resident procedures, the procedure automation unit can use an emotion estimation function to monitor the emotions of residents when performing procedures in real time and provide guidance to elicit positive emotions. For example, the generative AI analyzes the resident's facial expressions and voice and monitors the emotions of residents when performing procedures in real time. For example, it provides guidance to elicit positive emotions. The procedure automation unit also suggests the optimal procedure method based on the resident's emotions. For example, it suggests performing the procedure in a way that elicits positive emotions. Furthermore, the procedure automation unit monitors the resident's emotions in real time and provides guidance as needed. For example, it provides guidance to elicit positive emotions. In this way, the burden of procedures can be reduced by monitoring the resident's emotions in real time and providing guidance to elicit positive emotions.

[0095] When automating resident procedures, the procedure automation unit can use an emotion estimation function to estimate the resident's stress level when performing the procedure and provide an interface to reduce stress. For example, the generation AI analyzes the resident's facial expressions and voice to estimate the resident's stress level when performing the procedure. For example, if stress is high, it provides a relaxing interface. The procedure automation unit also suggests the optimal procedure method based on the resident's stress level. For example, it suggests performing the procedure in a way that reduces stress. Furthermore, the procedure automation unit monitors the resident's stress level in real time and adjusts the interface as needed. For example, if stress increases, it changes the interface to provide a relaxing environment. In this way, the burden of the procedure can be reduced by estimating the resident's stress level and providing an interface to reduce stress.

[0096] When automating resident procedures, the procedure automation unit uses an emotion estimation function to analyze the emotions of the resident when performing the procedure and can suggest a procedure sequence that is less emotionally burdensome. For example, the generation AI analyzes the resident's emotions and suggests a procedure sequence that is less emotionally burdensome. For example, performing the procedure in an order that causes less stress. The procedure automation unit also suggests the optimal procedure method based on the resident's emotions. For example, it suggests performing the procedure in an order that causes less emotional stress. Furthermore, the procedure automation unit monitors the resident's emotions in real time and adjusts the procedure sequence as necessary. For example, it performs the procedure in an order that causes less stress. In this way, the burden of the procedure can be reduced by analyzing the resident's emotions and suggesting a procedure sequence that causes less emotional stress.

[0097] When automating resident procedures, the procedure automation unit uses an emotion estimation function to analyze the emotions that residents feel when performing procedures and can suggest progress management methods that are less emotionally burdensome. For example, the generation AI analyzes the resident's emotions and suggests a progress management method that is less emotionally burdensome. For example, it suggests a progress management method that is less stressful. The procedure automation unit also suggests the optimal progress management method based on the resident's emotions. For example, it suggests managing progress in a way that is less emotionally burdensome. Furthermore, the procedure automation unit monitors the resident's emotions in real time and adjusts the progress management method as necessary. For example, it manages progress in a way that is less stressful. In this way, the burden of procedures can be reduced by analyzing the resident's emotions and suggesting a progress management method that is less emotionally burdensome.

[0098] When automating a resident's procedures, the procedure automation unit can coordinate with the procedure status of other residents and manage common procedures in a centralized manner. For example, when the generation AI manages the progress of a resident's procedures, it coordinates with the procedure status of other residents and manages common procedures in a centralized manner. For example, it manages the procedures of family members living at the same address in a centralized manner. Furthermore, when managing the progress of a resident's procedures, the procedure automation unit coordinates with the procedure status of other residents and manages common procedures in a centralized manner. For example, it manages the procedures of family members living at the same address in a centralized manner. Furthermore, when managing the progress of a resident's procedures, the procedure automation unit coordinates with the procedure status of other residents and manages common procedures in a centralized manner. For example, it manages the procedures of family members living at the same address in a centralized manner. This allows the efficiency of procedures to be improved by coordinating with the procedure status of other residents and managing common procedures in a centralized manner when managing the progress of procedures.

[0099] When automating resident procedures, the procedure automation unit can also manage other administrative services in one place. For example, when the generation AI manages the progress of a resident's procedures, it also manages tax returns and health insurance procedures in one place. For example, it manages tax returns at the same time as issuing a resident registration card. The procedure automation unit also manages other administrative services in one place when managing the progress of a resident's procedures. For example, it manages health insurance procedures at the same time as issuing a resident registration card. The procedure automation unit also manages other administrative services in one place when managing the progress of a resident's procedures. For example, it manages tax returns at the same time as issuing a resident registration card. This allows other administrative services to be managed in one place when managing the progress of a procedure, improving the efficiency of the procedure.

[0100] When automating resident procedures and managing the progress of procedures, the procedure automation unit can predict progress based on the resident's procedure history and automatically guide the resident to the next step. For example, the generation AI predicts the progress of a procedure based on the resident's procedure history and automatically guides the resident to the next step. For example, it predicts the progress of a resident registration certificate issuance procedure and guides the resident to the next required document. The procedure automation unit also suggests the optimal procedure method based on the resident's procedure history. For example, it guides the resident to the next step based on the procedure method the resident has used in the past. Furthermore, the procedure automation unit predicts progress based on the resident's procedure history and guides the resident to the next step in real time. For example, it predicts the progress of a resident registration certificate issuance procedure and guides the resident to the next required document in real time. This makes it possible to improve the efficiency of procedures by predicting progress based on the resident's procedure history and automatically guiding the resident to the next step when managing the progress of procedures.

[0101] When automating resident procedures, the procedure automation unit can monitor the resident's procedural status in real time and immediately notify if an abnormality occurs when managing the progress of the procedure. For example, the generation AI monitors the resident's procedural status in real time and immediately notifies if an abnormality occurs. For example, it can notify if the procedure is delayed. The procedure automation unit also detects abnormalities based on the resident's procedural status and suggests necessary responses. For example, it can suggest a quick response method if the procedure is delayed. Furthermore, the procedure automation unit monitors the resident's procedural status in real time and immediately notifies if an abnormality occurs and suggests necessary responses. For example, it can suggest a quick response method if the procedure is delayed. This makes it possible to improve the efficiency of procedures by monitoring the resident's procedural status in real time and immediately notifying if an abnormality occurs when managing the progress of the procedure.

[0102] The processing flow of the second embodiment will be briefly explained below.

[0103] Step 1: The procedure automation unit automates the procedures that residents must perform. For example, procedures such as issuing a resident registration card or changing an address can be completed online, and residents can complete the procedure simply by entering the necessary information. The generation AI also automates procedures based on the resident's instructions. For example, if a resident instructs the generation AI to "issue a resident registration card," the generation AI will automate the procedure. Step 2: The procedure optimization unit optimizes the procedures automated by the procedure automation unit. For example, it allows multiple procedures to be performed at once, and processes the procedures in the optimal order to reduce the burden on residents. Furthermore, the generation AI suggests the optimal procedure order based on the resident's procedure list. For example, if a resident indicates that they would like to "change their address and issue a resident registration card at the same time," the generation AI will carry out the procedures in the optimal order.

[0104] 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 a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the 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.

[0105] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> Examples of generative AIs include the data generation model 58, such as a neural network model (e.g., a neural network model), and a neural network model (e.g., a neural network model). The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating speech, text data indicating text, and image data indicating an image is also input to the data generation model 58. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0106] Furthermore, the processing by the data processing system 10 described above is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0107] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0108] 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.

[0109] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0110] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0111] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0112] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0113] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0114] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0115] 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.

[0116] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0117] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart glasses 214 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0118] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0119] 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 a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0120] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0121] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the smart glasses 214 or an external device, etc., and the smart glasses 214 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0122] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0123] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0124] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0125] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0126] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0127] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0128] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0129] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0130] 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.

[0131] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0132] In the headset type terminal 314, the identification process is performed by the processor 46. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. Note that the headset type terminal 314 may also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0133] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0134] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0135] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0136] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset type terminal 314, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset type terminal 314. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the headset type terminal 314 or an external device, etc., and the headset type terminal 314 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0137] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0138] 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.

[0139] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0140] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[0141] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0142] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS image sensor or a CCD image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0143] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0144] The control 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 emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[0145] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0146] 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.

[0147] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0148] In the robot 414, the processor 46 performs the identification process. A identification program 60 is stored in the storage 50. The processor 46 reads the identification program 60 from the storage 50 and executes the read identification program 60 on the RAM 48. The identification process is realized by the processor 46 operating as a control unit 46A in accordance with the identification program 60 executed on the RAM 48. The robot 414 may have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59.

[0149] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0150] 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 control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[0151] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0152] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the robot 414 or an external device, etc., and the robot 414 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0153] The emotion identification model 59 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 an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0154] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion encompasses both emotions and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[0155] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[0156] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[0157] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. Emotions can also be created for robots, cars, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on speech emotion recognition and brain physiological signal analysis systems for emotions, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the area called "reaction," where sensation is dominant. The right half of the emotion map lists emotions belonging to the area called "situation," where situational awareness is dominant.

[0158] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs 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 a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[0159] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[0160] In the above embodiment, an example was given in which a specific process is performed by one computer 22, but the technology disclosed herein is not limited to this, and distributed processing of the specific process may be performed by multiple computers including computer 22.

[0161] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[0162] 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.

[0163] It is not necessary to store all 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 all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[0164] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. A processor also includes a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[0165] The hardware resource that executes the specific process may be configured with one of these various processors, or may be configured with 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). Also, the hardware resource that executes the specific process may be a single processor.

[0166] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[0167] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[0168] In the above example, the first to fourth embodiments have been described separately, but some or all of these embodiments may be combined. The smart device 14, smart glasses 214, headset terminal 314, and robot 414 are merely examples, and they may be combined, or other devices may be used. In the above example, the first and second embodiments have been described separately, but they may be combined.

[0169] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[0170] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference. [Explanation of symbols]

[0171] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. A procedure automation unit that automates procedures that residents must perform; a procedure optimization unit that optimizes the procedure automated by the procedure automation unit. A system characterized by:

2. The procedure automation unit Analyze the resident's voice input and complete the above procedure using only voice instructions 2. The system of claim 1.

3. The procedure automation unit Automate resident procedures and handle other government services at the same time 2. The system of claim 1.

4. The procedure optimization unit Analyzes the resident's past procedure data and proposes the most efficient procedure pattern 2. The system of claim 1.

5. The procedure automation unit When managing the progress of a procedure, the progress is predicted based on the resident's procedure history, and the next step is automatically guided.

2. The system of claim 1.

6. The procedure automation unit When automatically providing necessary documents and information for procedures, the system suggests the most appropriate documents based on the resident's procedure history.

2. The system of claim 1.

7. The procedure automation unit Using emotion estimation, we analyze the emotions residents feel when carrying out procedures and propose feedback methods that minimize emotional burden.

2. The system of claim 1.

8. The procedure automation unit Using emotion estimation functionality, we estimate the stress level of residents when they go through procedures and provide an interface to reduce stress.

2. The system of claim 1.

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