system

Abstract

We provide the system. [Solution] A means of analyzing user requests using natural language processing, searching a database of residential facilities, and presenting candidates, A method of obtaining quotes from multiple transportation companies, comparing them based on that information, and presenting the best option, A schedule management tool for scheduling and visualizing progress, A means of guiding people through procedures such as changing their address and activating utilities, A means of obtaining and providing information on surrounding facilities based on the area of ​​the new residence to the user, A means of collecting promotional information about the facility and notifying users, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In modern society, changes in residence occur frequently, but the process requires a lot of time and effort, which is a great burden on users. Specifically, the selection of residential facilities, comparison of transportation providers, schedule adjustment, and various procedures are complicated and difficult to proceed efficiently and smoothly. Therefore, it is required to streamline these processes and reduce the burden on users.

Means for Solving the Problems

[0005] This invention provides a system that uses natural language processing to analyze user requests, searches a database of residential facilities to present candidates, obtains and compares quotes from multiple transportation companies to present the optimal option, manages schedules for scheduling and visualization of progress, and guides users through procedures such as address changes and utility services. This system enables centralized management of the entire moving process, allowing it to proceed efficiently and with peace of mind.

[0006] "Natural language processing" is a technology that enables computers to understand and analyze human language.

[0007] "User" refers to a person who uses the system to carry out procedures related to changing their place of residence.

[0008] "Residential facilities" refer to properties or residences that users wish to live in.

[0009] A "database" is a system that systematically stores specific information, making it easy to search for and retrieve.

[0010] A "transportation provider" refers to a company or individual that provides services for moving customers' belongings.

[0011] An "estimate" is the process of predicting the costs required to provide a certain service and presenting those costs.

[0012] "Schedule management" is the process of planning and monitoring the time required for carrying out specific tasks or events.

[0013] "Progress status" refers to the status or progress of a particular project or task.

[0014] "Change of address" refers to the procedure of notifying relevant authorities of your new address when you move to a different place of residence.

[0015] "Lifeline" refers to the infrastructure necessary for daily life, such as water supply, electricity, gas, communication, etc.

Brief Explanation of Drawings

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

Embodiment for Carrying Out the Invention

[0017] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

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

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

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

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

[0022] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0023] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0024] [First Embodiment]

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

[0026] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0027] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0028] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0029] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0030] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0031] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

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

[0033] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0034] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0035] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0036] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0037] This invention provides a system that supports users in efficiently carrying out the moving process. The system is implemented by three main entities: a server, a terminal, and the user. It also utilizes natural language processing technology to analyze user input and select accommodations and compare transportation companies.

[0038] First, the user enters their moving preferences and requirements using natural language on their device. For example, they might enter, "Please find me a 2LDK apartment in Tokyo that allows pets." This information is then sent to the server via the communication function.

[0039] The server uses natural language processing technology to analyze user requests and searches the database. Based on the analysis, it collects information on relevant accommodations and returns that information to the user. Furthermore, to select a transportation provider, it obtains quotes from multiple providers and presents the user with the best option based on those quotes.

[0040] Next, the terminal displays the acquired information on accommodation and transportation companies to the user and prompts them to make a selection. Based on the user's selection, the server creates and visualizes a detailed moving schedule. This schedule provides the user with real-time progress updates and also guides them through necessary address changes and utility procedures.

[0041] For example, if a user needs to move within a short period of time due to work, they can use the system to quickly find a property that meets their requirements, efficiently select a moving company, and proceed with the procedures. This method allows users to reduce the time and effort that would have traditionally been required, resulting in a smoother move.

[0042] In this way, this invention allows users to centrally manage the moving process and proceed with peace of mind and efficiency.

[0043] The following describes the processing flow.

[0044] Step 1:

[0045] The user enters their desired conditions in natural language into an input field on their device, such as "I want to find a pet-friendly 2LDK apartment in Tokyo." The device then sends these conditions to the server.

[0046] Step 2:

[0047] The server analyzes the received natural language request and extracts the desired conditions. This analysis identifies the conditions as "within Tokyo," "pets allowed," and "2LDK."

[0048] Step 3:

[0049] The server searches a database of residential properties based on the specified criteria and creates a list of matching properties. This list is then sent back to the terminal.

[0050] Step 4:

[0051] The device displays the received property list to the user. The user selects a property from the list that interests them.

[0052] Step 5:

[0053] Based on the property information selected by the user, the terminal sends a request to the server to obtain quotes from multiple transportation companies.

[0054] Step 6:

[0055] The server collects quote information from shipping companies via API and compares the prices and services of each company. The comparison results are then sent to the terminal.

[0056] Step 7:

[0057] The terminal presents the user with a selection of the most suitable transportation companies. The user then chooses a company from the suggested options and confirms the moving date.

[0058] Step 8:

[0059] Based on user selections and scheduling information, the server creates a detailed migration schedule. The schedule is displayed on a dashboard showing the progress.

[0060] Step 9:

[0061] The server generates a list to assist with address changes and utility procedures after moving, and provides the relevant information to the user via the terminal.

[0062] Step 10:

[0063] By following the information provided, users can complete the necessary procedures and ensure a smooth overall relocation process.

[0064] (Example 1)

[0065] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0066] Moving requires a tremendous amount of time and effort to manage a wide range of tasks individually, such as selecting a new residence, choosing a moving company, scheduling, and changing your address. In particular, there is a need for an integrated support system that allows users to complete these tasks appropriately and efficiently.

[0067] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0068] In this invention, the server includes means for analyzing user requests using natural language processing, searching for information sources that manage information about residences and presenting candidates, means for acquiring evaluation information of multiple transport companies, comparing companies based on that information and presenting the optimal choice, and means for scheduling and visualizing progress. As a result, users can centrally manage all elements related to moving and complete their move efficiently and quickly.

[0069] "Natural language processing" is the technology that enables computers to understand, interpret, and generate human language.

[0070] A "source of information for managing housing-related information" is a database or information management system that aggregates information on rental and purchase properties in one place, allowing users to search for properties that meet their criteria.

[0071] "Transportation provider evaluation information" refers to detailed information about companies that provide moving and transportation services, such as fees, service quality, and customer ratings.

[0072] "A means of comparing and presenting the optimal option" refers to a process of analyzing multiple available options based on evaluation criteria and showing the option that is most beneficial to the user.

[0073] "Schedule management means for scheduling and visualizing progress" refers to software or a system that allows users to create schedules and visually check their progress.

[0074] An "electronic information processing device" is a digital device or machine that has the function of inputting, exchanging, storing, or outputting information.

[0075] An "administration screen" is a user interface designed to monitor and manipulate data and processes within a system.

[0076] This invention is a comprehensive support system for users who wish to move, enabling them to efficiently manage everything from selecting a residence and arranging transportation to scheduling their move. The system is composed of three elements: a server, terminals, and users, working together.

[0077] The user first inputs their preferences and requirements using natural language via a device. This is done using electronic information processing devices such as smartphones or personal computers, accessing the system through a dedicated application or web platform. An example of input is the prompt, "Please find a pet-friendly 2LDK apartment in Tokyo."

[0078] The data acquired by the device is sent to the server via the internet. The server analyzes this data using natural language processing technology. For analysis, for example, Natural Language Toolkit or natural language APIs from cloud services can be used. This analysis clarifies the user's conditions and preferences, and based on that, the database of housing information is searched.

[0079] As a search result, the server presents the user with suitable housing options. Regarding the selection of transportation providers, the server compares evaluation information and quotes from multiple partner companies to provide the user with the best option.

[0080] The user receives this information through their device and selects their accommodation and transportation provider. The selected information is sent to a server, which creates a detailed moving schedule and provides it to the device. This schedule is displayed visually on the device, allowing the user to check the progress at any time. The server also provides guidance on necessary procedures and address changes, helping the user to complete the process without forgetting anything.

[0081] In this way, the present invention allows users to efficiently and centrally manage the entire moving process, enabling them to start their new life with peace of mind.

[0082] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0083] Step 1:

[0084] The user uses a terminal to input their moving preferences and requirements in natural language. This input may include prompts such as, "Please find a pet-friendly 2LDK apartment in Tokyo." The terminal sends the input to the server as text data.

[0085] Step 2:

[0086] The server analyzes text data received from the terminal using natural language processing technology. This process utilizes the Natural Language Toolkit and cloud-based natural language APIs to extract conditions such as "Tokyo area," "pets allowed," and "2LDK" from the input text. The analysis results are used to search a database of housing information.

[0087] Step 3:

[0088] The server searches the housing information database using the extracted criteria and collects property information that matches those criteria. This includes detailed data such as the property's address, price, and photos. The server then sends this information to the terminal.

[0089] Step 4:

[0090] The terminal displays property information sent from the server to the user. The user selects their desired accommodation from the presented properties. The selection is made via the terminal's interface, and the selection result is sent to the server.

[0091] Step 5:

[0092] The server sends quote requests to multiple carriers via API based on the user's selection. It receives the quote information returned by the carriers and uses it to compare each carrier. It then sends the user the carrier selection that it considers to be the best fit.

[0093] Step 6:

[0094] The terminal displays quote information from shipping companies received from the server to the user. The user compares the services and costs offered by each shipping company and selects the most suitable one. This selection is also communicated to the server by the terminal.

[0095] Step 7:

[0096] The server creates a detailed relocation schedule based on the user's selections. The schedule includes the relocation date, deadlines for procedures, and various contact details. The server then sends the schedule data to the user's device.

[0097] Step 8:

[0098] The device visually displays the moving schedule to the user, allowing them to check the progress in real time. It also provides necessary information regarding address changes and utility procedures. This support enables users to complete their move smoothly.

[0099] (Application Example 1)

[0100] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0101] When moving, users face numerous challenges, including not only selecting a new residence and choosing a moving company, but also gathering information about the surrounding living environment and selecting facilities and shops to visit. However, efficiently collecting this vast amount of information and executing the process under optimal conditions is not easy. This invention aims to efficiently solve these problems and facilitate the user's moving process.

[0102] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0103] In this invention, the server includes means for analyzing the user's request using natural language processing, searching a database of residential facilities and presenting candidates, obtaining quotes from multiple transportation companies, comparing those companies based on that information and presenting the optimal choice, and obtaining and providing information on surrounding facilities based on the area of ​​the new residence to the user. As a result, the user can receive consistent and smooth support from selecting candidates for their move to understanding the surrounding environment.

[0104] "Natural language processing" is a technology that enables computers to understand, analyze, and process human language.

[0105] A "residential property database" is an electronic information repository containing various property information, used to provide relevant information based on user preferences.

[0106] A "transportation company" is a company or organization that provides services for transporting goods or packages from one place to another.

[0107] A "schedule management system" is a method of using a computer to manage a user's schedule and plans, enabling them to use their time efficiently.

[0108] "Address change procedures" refer to a series of formal procedures required when an individual moves to a new place of residence.

[0109] "Lifelines" refer to public infrastructure such as electricity, water, gas, and telecommunications, which are essential for daily life.

[0110] "Information about surrounding facilities" refers to information about shops and services that are useful for daily life and activities in the area where the user lives or visits.

[0111] "Promotional information" refers to information such as discounts and benefits offered to consumers regarding specific products or services.

[0112] The embodiment of this invention primarily involves the interaction of a server, a terminal, and a user. The server analyzes user requests using natural language processing technology. Specifically, it uses the natural language processing library spaCy to structurally analyze the request sentence entered by the user. Based on the analyzed information, the server searches and compares databases of accommodation facilities and quotes from transportation companies.

[0113] The terminal is responsible for receiving information from the server and displaying it to the user. For example, a user can use an application on their smartphone to check property information and information about nearby facilities in their new location. It is also possible to use the Google® Maps API to obtain information about nearby facilities and notify the user of promotional information for specific stores or services.

[0114] Based on this information, users can select housing and transportation providers, and efficiently procure essential goods and services needed in their new area. For example, if a user requests to buy groceries near their new home, the server will gather information on special offers at the nearest supermarket and suggest the optimal route.

[0115] An example of a prompt to input into the generating AI model is, "Considering the user's current location and the location of their new residence, please tell me about the sales at the nearest supermarket." This allows the user to efficiently and quickly obtain the necessary information and support the moving process.

[0116] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0117] Step 1:

[0118] The user uses a device to input a request in natural language. The input might be something like, "Please find a pet shop in my neighborhood." This request is then sent from the device to the server.

[0119] Step 2:

[0120] The server analyzes the received request using a natural language processing library (e.g., spaCy). It extracts keywords from the input sentence and constructs search queries for a database of residential facilities and information sources for surrounding facilities. Based on the analysis results, it collects information on specific candidate facilities.

[0121] Step 3:

[0122] The server utilizes the Google Maps API to retrieve information about nearby facilities associated with the user's current location. Based on the user's request, it searches for specific pet shops or facilities that meet the specified criteria and generates the results.

[0123] Step 4:

[0124] The server processes the collected information, providing optimal routes and promotional information, before sending the information to the terminal. The output includes detailed information such as, "The nearest pet shop is XX, and they are currently running a campaign."

[0125] Step 5:

[0126] The device displays the received information to the user and prompts them to make a choice. The user then decides on the necessary action based on the presented options.

[0127] Step 6:

[0128] The server manages the schedule and progress based on the facility and service information selected by the user, enabling them to navigate the process effectively. This allows users to consistently and efficiently utilize information and meet the diverse lifestyle needs.

[0129] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0130] This invention provides a system that not only allows users to efficiently manage the relocation process but also recognizes the user's emotional state and makes suggestions based on it. The system consists of three main parts: a server, a terminal, and an emotion engine.

[0131] First, the user uses their device to input their moving conditions and preferences in natural language. For example, the user might input, "I want to move closer to my child's school by the middle of next month." This input is then sent to the server by the device.

[0132] The server uses a natural language processing engine to analyze the user's request. This analysis generates specific search criteria, which are then used to search the housing database. Simultaneously, an emotion engine analyzes the user's emotions from the input text, recognizing, for example, that the user is experiencing stress related to moving.

[0133] Next, the server uses the emotion recognition results to make more appropriate and less stressful suggestions to the user. For example, if the emotion engine determines that the user is feeling anxious, the terminal will suggest properties that provide a sense of security or propose plans with extensive support when selecting a moving company.

[0134] Furthermore, in the carrier selection process, the server obtains multiple quotes and compares them. Based on the user's emotional state, it adjusts the way and timing of presenting options to optimize the process and reduce the user's burden.

[0135] Finally, the finalized schedule and progress are visualized and provided to the user via their device. Based on this information, the user can smoothly proceed with procedures such as changing their address or applying for utilities.

[0136] For example, if a move needs to be carried out urgently, the server can quickly arrange for a moving company and set a timeframe that meets the user's expectations based on user input. By using an emotion engine, it is possible to provide users with a sense of security and ensure the process proceeds smoothly.

[0137] Thus, the system of the present invention aims to reduce the burden on users by providing an optimal moving process according to the user's needs and emotions.

[0138] The following describes the processing flow.

[0139] Step 1:

[0140] The user enters specific preferences, such as "I want to move closer to my new workplace by the end of March," in natural language on the terminal's input interface. This input is then sent to the server via the terminal.

[0141] Step 2:

[0142] The server analyzes the received natural language input using a natural language processing engine to identify specific needs such as "end of March," "new workplace," and "relocation."

[0143] Step 3:

[0144] The server searches a database of residential properties based on the identified needs and generates a list of suitable properties.

[0145] Step 4:

[0146] At the same time, the emotion engine analyzes the user's emotions and detects things like "urgency" and "anxiety" from the input text.

[0147] Step 5:

[0148] The server adjusts the property list provided to the user based on the results of the emotion engine's analysis. For example, it prioritizes showing properties that allow for quick relocation to users who feel a sense of urgency.

[0149] Step 6:

[0150] The device displays a curated list of properties to the user and prompts them to make a selection. The user chooses a property from the list that interests them.

[0151] Step 7:

[0152] Based on the user's selection, the terminal requests quotes from multiple shipping companies from the server.

[0153] Step 8:

[0154] The server uses an API to collect quotes from transportation companies, selects them based on price and availability, and makes suggestions tailored to the user's emotional state.

[0155] Step 9:

[0156] The terminal displays suggestions for the most suitable shipping carrier to the user, who then confirms their preferred carrier and schedule.

[0157] Step 10:

[0158] Based on the user's selection, the server generates a schedule and presents it on a dashboard. This dashboard visualizes the progress of the migration and guides the user through the necessary procedures.

[0159] Step 11:

[0160] After moving, users follow the instructions on the dashboard to complete procedures such as changing their address and arranging utilities.

[0161] This format allows for an efficient and less stressful relocation process while taking into account the user's emotional state.

[0162] (Example 2)

[0163] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0164] Moving is a stressful and complex process for many people, but traditional systems struggle to adequately consider the emotional state of users and provide appropriate and timely suggestions. Furthermore, the management of various companies and schedules is fragmented, making it difficult for users to grasp the overall progress and proceed efficiently.

[0165] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0166] In this invention, the server includes means for analyzing the user's request using natural language processing and searching a dataset of residential facilities to present candidates, means for analyzing the user's emotional state to suggest the most suitable building, and means for obtaining quotes from multiple transportation companies, comparing those companies based on that information, and presenting the best option. As a result, the user can receive suggestions tailored to their individual circumstances and proceed through the entire process efficiently and without stress.

[0167] "Natural language processing" is the technology that enables computers to understand, analyze, and generate human language.

[0168] A "residential facilities dataset" is a collection of information about houses and buildings that are available for relocation.

[0169] "Emotional state" refers to data that indicates the emotional characteristics and psychological state of a user.

[0170] A "transportation company" is a business that provides services related to moving and transportation.

[0171] A "quote" is a proposal that outlines the expected costs and conditions for providing a specific service.

[0172] "Schedule management" is the process of tracking and adjusting the progress of tasks.

[0173] "Shared resources" refer to public infrastructure and services related to moving.

[0174] The system implementing this invention mainly includes a server, a terminal, and an emotion engine. The user uses the terminal to input moving conditions and preferences in natural language through a dedicated application. This information is securely transmitted to the server using the HTTPS protocol.

[0175] The server uses an NLP engine to analyze user input, for example, using a common natural language processing library. Based on this analysis, it extracts specific search criteria and queries the dataset to obtain information on residential facilities that match the request. As an emotion engine, it uses commercially available emotion analysis software to analyze the user's emotions and understand their psychological state, such as stress related to moving.

[0176] Based on sentiment analysis results, the server suggests properties that instill a sense of security in the user, as well as transportation companies with robust support systems. It also collects quotes from multiple transportation companies, compares each option, and presents the optimal solution. Schedule management is handled by a database on the server and visualized on the user's terminal.

[0177] For example, if a user enters "I want to move closer to my child's school by the middle of next month," the server uses this information to find properties near the school's location, uses an emotion engine to check if the user is feeling anxious, and then presents reassuring options.

[0178] An example of a prompt for a generative AI model would be, "Tell me what services you can suggest if a user is feeling stressed about moving." This would create an environment where users can move with peace of mind.

[0179] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0180] Step 1:

[0181] Users log in to a dedicated application using their device and enter their moving conditions and preferences in natural language. This input string is retrieved through an HTML form, converted to JSON format, and sent to the next step.

[0182] Step 2:

[0183] The terminal sends user input to the server using the HTTPS protocol. This protocol protects data privacy and ensures secure delivery to the server. The server decodes the received JSON data for analysis.

[0184] Step 3:

[0185] The server analyzes user input decoded using a natural language processing engine. Specifically, it extracts requirements using an NLP library and generates a structured search query. Based on this query, it searches the residential property dataset and retrieves property information that matches the criteria.

[0186] Step 4:

[0187] The server uses an emotion engine to analyze the user's emotional state from the input text. The emotion analysis software analyzes the tone and expression of the text to determine whether the user is feeling stress, anxiety, or other emotions. This process generates an emotional index.

[0188] Step 5:

[0189] The server generates optimal suggestions for the user based on sentiment analysis metrics and search query results. For example, it might select properties that reduce stress or transportation plans with excellent support. These suggestions are rendered in real time and returned to the user's device.

[0190] Step 6:

[0191] The terminal displays the optimal suggestions provided by the server to the user. Here, the user interface organizes information in a comparable format and uses visual elements to ensure easy user understanding.

[0192] Step 7:

[0193] Schedules and selection information approved by the user are sent to the server via the terminal and stored in the server's database. This allows for efficient progress management and scheduling, and the schedule is displayed as a visualized schedule on the terminal.

[0194] Step 8:

[0195] The server constantly monitors the user's progress data and emotional state, updating prompts and suggestions as needed. This ensures a comfortable and efficient migration experience for the user.

[0196] (Application Example 2)

[0197] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0198] Traditional moving support systems merely provide information on properties and transportation companies, and are unable to offer individualized support tailored to the user's emotional state. Therefore, effectively reducing the stress experienced during the moving process was difficult. In particular, a lack of appropriate suggestions and support was a problem when users experienced anxiety or stress related to moving.

[0199] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0200] In this invention, the server includes means for analyzing the user's request using natural language processing, searching a data repository of residential facilities and presenting candidates, obtaining quotes from multiple transportation companies, comparing the companies based on that information and presenting the optimal option, and analyzing the user's emotional state through emotion recognition and making emotion-based suggestions. This enables the provision of individualized support and suggestions tailored to the user's emotional state, reducing the stress associated with moving and allowing the user to proceed with the moving process smoothly and with peace of mind.

[0201] "Natural language processing" is a technology that allows computers to understand and analyze human language, and is used to convert user requests into digital format.

[0202] A "residential property data repository" is a data storage system that aggregates property information that meets the user's desired criteria, and is used to search for specific housing options.

[0203] A "transportation provider" is a company or organization that provides moving services and presents transportation plans tailored to the user's relocation needs.

[0204] "Emotion recognition" is a technology that identifies a user's emotional state by analyzing their tone of voice and facial expressions.

[0205] "Schedule adjustment methods" refer to tools and methods for efficiently managing the dates and schedules related to a user's move, and for supporting the visualization of progress.

[0206] "Basic services" refer to essential services for daily life, such as electricity, water, and the internet, and are related to procedures for changing your address when moving.

[0207] A "management display device" is a device used to visually present the progress of a move and other related information.

[0208] This invention provides a system that considers the user's needs and emotional state during the moving process and offers optimal support and suggestions. The embodiments are described in detail below.

[0209] The system primarily consists of servers, terminals, and an emotion engine, all of which work together in coordination.

[0210] The server runs on Google Cloud or Amazon Web Services, using the Google Cloud Natural Language API for natural language processing and the Face++ API for emotion recognition. The server first receives text input from the user, performs natural language processing, and searches the residential property data repository. It then presents the user with suitable property candidates.

[0211] Next, the emotion engine analyzes the user's emotional state in real time based on their voice or video data. Based on this analysis, the server generates and sends reassuring suggestions to the device. If the user is feeling anxious, music or suggestions to reduce stress will be displayed on the device.

[0212] The device takes the form of a smartphone or tablet and interacts directly with the user through a user interface. Here, information about moving companies and suggested schedules are displayed visually, and personalized suggestions tailored to the user's emotions pop up.

[0213] For example, if a user enters "I'd like to live in a safe neighborhood, but I don't know where to go," the system will recommend suitable properties based on safety information and evaluations of surrounding facilities in the area. If the emotion engine detects the user's anxiety, relaxing background sounds will be played on the device.

[0214] As an example of a prompt, passing a query such as, "When a user is feeling anxious about managing their moving schedule, what would be an appropriate suggestion to reassure them?" to the generating AI model can improve the accuracy of emotion-based suggestions.

[0215] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0216] Step 1:

[0217] Users input their moving conditions and preferences in natural language via their devices. This input data is sent to the server as text. The input here is text data entered by the user using a smartphone or tablet.

[0218] Step 2:

[0219] The server uses the received text data to activate a natural language processing engine. Using the Google Cloud Natural Language API, it parses the input language and converts the relocation conditions and preferences into a database query. The output is a search query to the housing facility data repository.

[0220] Step 3:

[0221] The server executes a query generated by the server against the residential property data repository to retrieve property information that matches the criteria. The retrieved property information is then organized in a way that is optimal for the user and generated as a list. This list is then sent from the server to the terminal.

[0222] Step 4:

[0223] The terminal receives a list of property information sent from the server and displays it on the user interface. The user can review this list and select options to view more detailed information.

[0224] Step 5:

[0225] The server receives audio and video data from the terminal in real time and runs the emotion recognition engine. It uses the Face++ API to analyze the user's emotional state. The input is the user's voice and facial expression data, and the output is the analyzed emotional state.

[0226] Step 6:

[0227] Based on the server's analysis of the user's emotional state, it generates music and suggestions to reduce stress that are tailored to the user's emotions. Using this generation AI model, it determines the optimal suggestion using pre-prepared prompts and sends that suggestion to the device.

[0228] Step 7:

[0229] The device adds suggestions received from the server and relaxing music to the user interface, and also plays the music. This allows the user to feel at ease and engage in the migration process.

[0230] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0231] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0232] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0233] [Second Embodiment]

[0234] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0235] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0236] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0237] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0238] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0239] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0240] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0241] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0242] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0243] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0244] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0245] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0246] This invention provides a system that supports users in efficiently carrying out the moving process. The system is implemented by three main entities: a server, a terminal, and the user. It also utilizes natural language processing technology to analyze user input and select accommodations and compare transportation companies.

[0247] First, the user enters their moving preferences and requirements using natural language on their device. For example, they might enter, "Please find me a 2LDK apartment in Tokyo that allows pets." This information is then sent to the server via the communication function.

[0248] The server uses natural language processing technology to analyze user requests and searches the database. Based on the analysis, it collects information on relevant accommodations and returns that information to the user. Furthermore, to select a transportation provider, it obtains quotes from multiple providers and presents the user with the best option based on those quotes.

[0249] Next, the terminal displays the acquired information on accommodation and transportation companies to the user and prompts them to make a selection. Based on the user's selection, the server creates and visualizes a detailed moving schedule. This schedule provides the user with real-time progress updates and also guides them through necessary address changes and utility procedures.

[0250] For example, if a user needs to move within a short period of time due to work, they can use the system to quickly find a property that meets their requirements, efficiently select a moving company, and proceed with the procedures. This method allows users to reduce the time and effort that would have traditionally been required, resulting in a smoother move.

[0251] In this way, this invention allows users to centrally manage the moving process and proceed with peace of mind and efficiency.

[0252] The following describes the processing flow.

[0253] Step 1:

[0254] The user enters their desired conditions in natural language into an input field on their device, such as "I want to find a pet-friendly 2LDK apartment in Tokyo." The device then sends these conditions to the server.

[0255] Step 2:

[0256] The server analyzes the received natural language request and extracts the desired conditions. This analysis identifies the conditions as "within Tokyo," "pets allowed," and "2LDK."

[0257] Step 3:

[0258] The server searches a database of residential properties based on the specified criteria and creates a list of matching properties. This list is then sent back to the terminal.

[0259] Step 4:

[0260] The device displays the received property list to the user. The user selects a property from the list that interests them.

[0261] Step 5:

[0262] Based on the property information selected by the user, the terminal sends a request to the server to obtain quotes from multiple transportation companies.

[0263] Step 6:

[0264] The server collects quote information from shipping companies via API and compares the prices and services of each company. The comparison results are then sent to the terminal.

[0265] Step 7:

[0266] The terminal presents the user with a selection of the most suitable transportation companies. The user then chooses a company from the suggested options and confirms the moving date.

[0267] Step 8:

[0268] Based on user selections and scheduling information, the server creates a detailed migration schedule. The schedule is displayed on a dashboard showing the progress.

[0269] Step 9:

[0270] The server generates a list to assist with address changes and utility procedures after moving, and provides the relevant information to the user via the terminal.

[0271] Step 10:

[0272] By following the information provided, users can complete the necessary procedures and ensure a smooth overall relocation process.

[0273] (Example 1)

[0274] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0275] Moving requires a tremendous amount of time and effort to manage a wide range of tasks individually, such as selecting a new residence, choosing a moving company, scheduling, and changing your address. In particular, there is a need for an integrated support system that allows users to complete these tasks appropriately and efficiently.

[0276] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0277] In this invention, the server includes means for analyzing user requests using natural language processing, searching for information sources that manage information about residences and presenting candidates, means for acquiring evaluation information of multiple transport companies, comparing companies based on that information and presenting the optimal choice, and means for scheduling and visualizing progress. As a result, users can centrally manage all elements related to moving and complete their move efficiently and quickly.

[0278] "Natural language processing" is the technology that enables computers to understand, interpret, and generate human language.

[0279] A "source of information for managing housing-related information" is a database or information management system that aggregates information on rental and purchase properties in one place, allowing users to search for properties that meet their criteria.

[0280] "Transport carrier evaluation information" refers to detailed information such as fees, service quality, and customer evaluations for carriers providing moving or transportation services.

[0281] "Means for presenting the optimal option through comparison" refers to the process of analyzing multiple selectable options based on evaluation criteria and showing the most profitable option for the user.

[0282] "Schedule management means for visualizing schedule adjustment and progress status" refers to software or a system that creates a schedule and enables visual confirmation of its progress.

[0283] "Electronic information processing device" refers to a digital device or machine having functions of inputting, exchanging, storing, or outputting information.

[0284] "Management screen" refers to a user interface designed for monitoring and operating data and processes inside the system.

[0285] The present invention is an all-inclusive support system for users wishing to move, enabling them to efficiently handle everything from dwelling selection to transportation arrangement and even schedule management. The system is constituted by the cooperation of three entities: a server, a terminal, and a user.

[0286] First, the user uses a terminal to input wishes and conditions in natural language. At this time, an electronic information processing device such as a smartphone or a personal computer is used, and the system is accessed through a dedicated application or a web platform. An example of an input prompt is "Please find a 2LDK property in Tokyo that allows pets."

[0287] The data acquired by the device is sent to the server via the internet. The server analyzes this data using natural language processing technology. For analysis, for example, Natural Language Toolkit or natural language APIs from cloud services can be used. This analysis clarifies the user's conditions and preferences, and based on that, the database of housing information is searched.

[0288] As a search result, the server presents the user with suitable housing options. Regarding the selection of transportation providers, the server compares evaluation information and quotes from multiple partner companies to provide the user with the best option.

[0289] The user receives this information through their device and selects their accommodation and transportation provider. The selected information is sent to a server, which creates a detailed moving schedule and provides it to the device. This schedule is displayed visually on the device, allowing the user to check the progress at any time. The server also provides guidance on necessary procedures and address changes, helping the user to complete the process without forgetting anything.

[0290] In this way, the present invention allows users to efficiently and centrally manage the entire moving process, enabling them to start their new life with peace of mind.

[0291] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0292] Step 1:

[0293] The user uses a terminal to input their moving preferences and requirements in natural language. This input may include prompts such as, "Please find a pet-friendly 2LDK apartment in Tokyo." The terminal sends the input to the server as text data.

[0294] Step 2:

[0295] The server analyzes text data received from the terminal using natural language processing technology. This process utilizes the Natural Language Toolkit and cloud-based natural language APIs to extract conditions such as "Tokyo area," "pets allowed," and "2LDK" from the input text. The analysis results are used to search a database of housing information.

[0296] Step 3:

[0297] The server searches the housing information database using the extracted criteria and collects property information that matches those criteria. This includes detailed data such as the property's address, price, and photos. The server then sends this information to the terminal.

[0298] Step 4:

[0299] The terminal displays property information sent from the server to the user. The user selects their desired accommodation from the presented properties. The selection is made via the terminal's interface, and the selection result is sent to the server.

[0300] Step 5:

[0301] The server sends quote requests to multiple carriers via API based on the user's selection. It receives the quote information returned by the carriers and uses it to compare each carrier. It then sends the user the carrier selection that it considers to be the best fit.

[0302] Step 6:

[0303] The terminal displays quote information from shipping companies received from the server to the user. The user compares the services and costs offered by each shipping company and selects the most suitable one. This selection is also communicated to the server by the terminal.

[0304] Step 7:

[0305] The server creates a detailed moving schedule based on the user's selection. The schedule includes the moving date, the deadline for procedures, and various contact information. The server sends the schedule data to the terminal.

[0306] Step 8:

[0307] The terminal visually displays the moving schedule to the user, enabling real-time progress checking. It also guides the necessary information regarding address changes and lifeline procedures. With this support, the user can smoothly carry out the move.

[0308] (Application Example 1)

[0309] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0310] When moving, users have many issues, such as not only selecting a new residence and deciding on a moving company but also grasping the living environment information around the residence and selecting facilities and stores to visit. However, it is not easy to efficiently collect a large amount of information and execute it under optimal conditions. The purpose of this invention is to efficiently solve these problems and smoothly progress the user's moving process.

[0311] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0312] In this invention, the server includes means for analyzing the user's request using natural language processing, searching a database of residential facilities, and presenting candidates; means for obtaining estimates from multiple transportation companies, comparing the companies based on that information, and presenting the optimal options; and means for obtaining information on surrounding facilities based on the area of the new residence and providing it to the user. As a result, users can receive consistent and smooth support from candidate selection to understanding the surrounding environment when moving.

[0313] "Natural language processing" is a technology that enables computers to understand, analyze, and process human language.

[0314] A "residential property database" is an electronic information repository containing various property information, used to provide relevant information based on user preferences.

[0315] A "transportation company" is a company or organization that provides services for transporting goods or packages from one place to another.

[0316] A "schedule management system" is a method of using a computer to manage a user's schedule and plans, enabling them to use their time efficiently.

[0317] "Address change procedures" refer to a series of formal procedures required when an individual moves to a new place of residence.

[0318] "Lifelines" refer to public infrastructure such as electricity, water, gas, and telecommunications, which are essential for daily life.

[0319] "Information about surrounding facilities" refers to information about shops and services that are useful for daily life and activities in the area where the user lives or visits.

[0320] "Promotional information" refers to information such as discounts and benefits offered to consumers regarding specific products or services.

[0321] The embodiment of this invention primarily involves the interaction of a server, a terminal, and a user. The server analyzes user requests using natural language processing technology. Specifically, it uses the natural language processing library spaCy to structurally analyze the request sentence entered by the user. Based on the analyzed information, the server searches and compares databases of accommodation facilities and quotes from transportation companies.

[0322] The terminal is responsible for receiving information from the server and displaying it to the user. For example, a user can use an application on their smartphone to check property information and information about nearby facilities in their new location. It is also possible to use the Google Maps API to obtain information about nearby facilities and notify the user of promotional information for specific stores or services.

[0323] Based on this information, users can select housing and transportation providers, and efficiently procure essential goods and services needed in their new area. For example, if a user requests to buy groceries near their new home, the server will gather information on special offers at the nearest supermarket and suggest the optimal route.

[0324] An example of a prompt to input into the generating AI model is, "Considering the user's current location and the location of their new residence, please tell me about the sales at the nearest supermarket." This allows the user to efficiently and quickly obtain the necessary information and support the moving process.

[0325] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0326] Step 1:

[0327] The user uses a device to input a request in natural language. The input might be something like, "Please find a pet shop in my neighborhood." This request is then sent from the device to the server.

[0328] Step 2:

[0329] The server analyzes the received request using a natural language processing library (e.g., spaCy). It extracts keywords from the input sentence and constructs search queries for a database of residential facilities and information sources for surrounding facilities. Based on the analysis results, it collects information on specific candidate facilities.

[0330] Step 3:

[0331] The server utilizes the Google Maps API to retrieve information about nearby facilities associated with the user's current location. Based on the user's request, it searches for specific pet shops or facilities that meet the specified criteria and generates the results.

[0332] Step 4:

[0333] The server processes the collected information, providing optimal routes and promotional information, before sending the information to the terminal. The output includes detailed information such as, "The nearest pet shop is XX, and they are currently running a campaign."

[0334] Step 5:

[0335] The device displays the received information to the user and prompts them to make a choice. The user then decides on the necessary action based on the presented options.

[0336] Step 6:

[0337] The server manages the schedule and progress based on the facility and service information selected by the user, enabling them to navigate the process effectively. This allows users to consistently and efficiently utilize information and meet the diverse lifestyle needs.

[0338] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0339] This invention provides a system that not only allows users to efficiently manage the relocation process but also recognizes the user's emotional state and makes suggestions based on it. The system consists of three main parts: a server, a terminal, and an emotion engine.

[0340] First, the user uses their device to input their moving conditions and preferences in natural language. For example, the user might input, "I want to move closer to my child's school by the middle of next month." This input is then sent to the server by the device.

[0341] The server uses a natural language processing engine to analyze the user's request. This analysis generates specific search criteria, which are then used to search the housing database. Simultaneously, an emotion engine analyzes the user's emotions from the input text, recognizing, for example, that the user is experiencing stress related to moving.

[0342] Next, the server uses the emotion recognition results to make more appropriate and less stressful suggestions to the user. For example, if the emotion engine determines that the user is feeling anxious, the terminal will suggest properties that provide a sense of security or propose plans with extensive support when selecting a moving company.

[0343] Furthermore, in the carrier selection process, the server obtains multiple quotes and compares them. Based on the user's emotional state, it adjusts the way and timing of presenting options to optimize the process and reduce the user's burden.

[0344] Finally, the finalized schedule and progress are visualized and provided to the user via their device. Based on this information, the user can smoothly proceed with procedures such as changing their address or applying for utilities.

[0345] For example, if a move needs to be carried out urgently, the server can quickly arrange for a moving company and set a timeframe that meets the user's expectations based on user input. By using an emotion engine, it is possible to provide users with a sense of security and ensure the process proceeds smoothly.

[0346] Thus, the system of the present invention aims to reduce the burden on users by providing an optimal moving process according to the user's needs and emotions.

[0347] The following describes the processing flow.

[0348] Step 1:

[0349] The user enters specific preferences, such as "I want to move closer to my new workplace by the end of March," in natural language on the terminal's input interface. This input is then sent to the server via the terminal.

[0350] Step 2:

[0351] The server analyzes the received natural language input using a natural language processing engine to identify specific needs such as "end of March," "new workplace," and "relocation."

[0352] Step 3:

[0353] The server searches a database of residential properties based on the identified needs and generates a list of suitable properties.

[0354] Step 4:

[0355] At the same time, the emotion engine analyzes the user's emotions and detects things like "urgency" and "anxiety" from the input text.

[0356] Step 5:

[0357] The server adjusts the property list provided to the user based on the results of the emotion engine's analysis. For example, it prioritizes showing properties that allow for quick relocation to users who feel a sense of urgency.

[0358] Step 6:

[0359] The device displays a curated list of properties to the user and prompts them to make a selection. The user chooses a property from the list that interests them.

[0360] Step 7:

[0361] Based on the user's selection, the terminal requests quotes from multiple shipping companies from the server.

[0362] Step 8:

[0363] The server uses an API to collect quotes from transportation companies, selects them based on price and availability, and makes suggestions tailored to the user's emotional state.

[0364] Step 9:

[0365] The terminal displays suggestions for the most suitable shipping carrier to the user, who then confirms their preferred carrier and schedule.

[0366] Step 10:

[0367] Based on the user's selection, the server generates a schedule and presents it on a dashboard. This dashboard visualizes the progress of the migration and guides the user through the necessary procedures.

[0368] Step 11:

[0369] After moving, users follow the instructions on the dashboard to complete procedures such as changing their address and arranging utilities.

[0370] This format allows for an efficient and less stressful relocation process while taking into account the user's emotional state.

[0371] (Example 2)

[0372] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0373] Moving is a stressful and complex process for many people, but traditional systems struggle to adequately consider the emotional state of users and provide appropriate and timely suggestions. Furthermore, the management of various companies and schedules is fragmented, making it difficult for users to grasp the overall progress and proceed efficiently.

[0374] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0375] In this invention, the server includes means for analyzing the user's request using natural language processing and searching a dataset of residential facilities to present candidates, means for analyzing the user's emotional state to suggest the most suitable building, and means for obtaining quotes from multiple transportation companies, comparing those companies based on that information, and presenting the best option. As a result, the user can receive suggestions tailored to their individual circumstances and proceed through the entire process efficiently and without stress.

[0376] "Natural language processing" is the technology that enables computers to understand, analyze, and generate human language.

[0377] A "residential facilities dataset" is a collection of information about houses and buildings that are available for relocation.

[0378] "Emotional state" refers to data that indicates the emotional characteristics and psychological state of a user.

[0379] A "transportation company" is a business that provides services related to moving and transportation.

[0380] A "quote" is a proposal that outlines the expected costs and conditions for providing a specific service.

[0381] "Schedule management" is the process of tracking and adjusting the progress of tasks.

[0382] "Shared resources" refer to public infrastructure and services related to moving.

[0383] The system implementing this invention mainly includes a server, a terminal, and an emotion engine. The user uses the terminal to input moving conditions and preferences in natural language through a dedicated application. This information is securely transmitted to the server using the HTTPS protocol.

[0384] The server uses an NLP engine to analyze user input, for example, using a common natural language processing library. Based on this analysis, it extracts specific search criteria and queries the dataset to obtain information on residential facilities that match the request. As an emotion engine, it uses commercially available emotion analysis software to analyze the user's emotions and understand their psychological state, such as stress related to moving.

[0385] Based on sentiment analysis results, the server suggests properties that instill a sense of security in the user, as well as transportation companies with robust support systems. It also collects quotes from multiple transportation companies, compares each option, and presents the optimal solution. Schedule management is handled by a database on the server and visualized on the user's terminal.

[0386] For example, if a user enters "I want to move closer to my child's school by the middle of next month," the server uses this information to find properties near the school's location, uses an emotion engine to check if the user is feeling anxious, and then presents reassuring options.

[0387] An example of a prompt for a generative AI model would be, "Tell me what services you can suggest if a user is feeling stressed about moving." This would create an environment where users can move with peace of mind.

[0388] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0389] Step 1:

[0390] Users log in to a dedicated application using their device and enter their moving conditions and preferences in natural language. This input string is retrieved through an HTML form, converted to JSON format, and sent to the next step.

[0391] Step 2:

[0392] The terminal sends user input to the server using the HTTPS protocol. This protocol protects data privacy and ensures secure delivery to the server. The server decodes the received JSON data for analysis.

[0393] Step 3:

[0394] The server analyzes user input decoded using a natural language processing engine. Specifically, it extracts requirements using an NLP library and generates a structured search query. Based on this query, it searches the residential property dataset and retrieves property information that matches the criteria.

[0395] Step 4:

[0396] The server uses an emotion engine to analyze the user's emotional state from the input text. The emotion analysis software analyzes the tone and expression of the text to determine whether the user is feeling stress, anxiety, or other emotions. This process generates an emotional index.

[0397] Step 5:

[0398] The server generates optimal suggestions for the user based on sentiment analysis metrics and search query results. For example, it might select properties that reduce stress or transportation plans with excellent support. These suggestions are rendered in real time and returned to the user's device.

[0399] Step 6:

[0400] The terminal displays the optimal suggestions provided by the server to the user. Here, the user interface organizes information in a comparable format and uses visual elements to ensure easy user understanding.

[0401] Step 7:

[0402] Schedules and selection information approved by the user are sent to the server via the terminal and stored in the server's database. This allows for efficient progress management and scheduling, and the schedule is displayed as a visualized schedule on the terminal.

[0403] Step 8:

[0404] The server constantly monitors the user's progress data and emotional state, updating prompts and suggestions as needed. This ensures a comfortable and efficient migration experience for the user.

[0405] (Application Example 2)

[0406] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0407] Traditional moving support systems merely provide information on properties and transportation companies, and are unable to offer individualized support tailored to the user's emotional state. Therefore, effectively reducing the stress experienced during the moving process was difficult. In particular, a lack of appropriate suggestions and support was a problem when users experienced anxiety or stress related to moving.

[0408] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0409] In this invention, the server includes means for analyzing the user's request using natural language processing, searching a data repository of residential facilities and presenting candidates, obtaining quotes from multiple transportation companies, comparing the companies based on that information and presenting the optimal option, and analyzing the user's emotional state through emotion recognition and making emotion-based suggestions. This enables the provision of individualized support and suggestions tailored to the user's emotional state, reducing the stress associated with moving and allowing the user to proceed with the moving process smoothly and with peace of mind.

[0410] "Natural language processing" is a technology that allows computers to understand and analyze human language, and is used to convert user requests into digital format.

[0411] A "residential property data repository" is a data storage system that aggregates property information that meets the user's desired criteria, and is used to search for specific housing options.

[0412] A "transportation provider" is a company or organization that provides moving services and presents transportation plans tailored to the user's relocation needs.

[0413] "Emotion recognition" is a technology that identifies a user's emotional state by analyzing their tone of voice and facial expressions.

[0414] "Schedule adjustment methods" refer to tools and methods for efficiently managing the dates and schedules related to a user's move, and for supporting the visualization of progress.

[0415] "Basic services" refer to essential services for daily life, such as electricity, water, and the internet, and are related to procedures for changing your address when moving.

[0416] A "management display device" is a device used to visually present the progress of a move and other related information.

[0417] This invention provides a system that considers the user's needs and emotional state during the moving process and offers optimal support and suggestions. The embodiments are described in detail below.

[0418] The system primarily consists of servers, terminals, and an emotion engine, all of which work together in coordination.

[0419] The server runs on Google Cloud or Amazon Web Services, using the Google Cloud Natural Language API for natural language processing and the Face++ API for emotion recognition. The server first receives text input from the user, performs natural language processing, and searches the residential property data repository. It then presents the user with suitable property candidates.

[0420] Next, the emotion engine analyzes the user's emotional state in real time based on their voice or video data. Based on this analysis, the server generates and sends reassuring suggestions to the device. If the user is feeling anxious, music or suggestions to reduce stress will be displayed on the device.

[0421] The device takes the form of a smartphone or tablet and interacts directly with the user through a user interface. Here, information about moving companies and suggested schedules are displayed visually, and personalized suggestions tailored to the user's emotions pop up.

[0422] For example, if a user enters "I'd like to live in a safe neighborhood, but I don't know where to go," the system will recommend suitable properties based on safety information and evaluations of surrounding facilities in the area. If the emotion engine detects the user's anxiety, relaxing background sounds will be played on the device.

[0423] As an example of a prompt, passing a query such as, "When a user is feeling anxious about managing their moving schedule, what would be an appropriate suggestion to reassure them?" to the generating AI model can improve the accuracy of emotion-based suggestions.

[0424] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0425] Step 1:

[0426] Users input their moving conditions and preferences in natural language via their devices. This input data is sent to the server as text. The input here is text data entered by the user using a smartphone or tablet.

[0427] Step 2:

[0428] The server uses the received text data to activate a natural language processing engine. Using the Google Cloud Natural Language API, it parses the input language and converts the relocation conditions and preferences into a database query. The output is a search query to the housing facility data repository.

[0429] Step 3:

[0430] The server executes a query generated by the server against the residential property data repository to retrieve property information that matches the criteria. The retrieved property information is then organized in a way that is optimal for the user and generated as a list. This list is then sent from the server to the terminal.

[0431] Step 4:

[0432] The terminal receives a list of property information sent from the server and displays it on the user interface. The user can review this list and select options to view more detailed information.

[0433] Step 5:

[0434] The server receives audio and video data from the terminal in real time and runs the emotion recognition engine. It uses the Face++ API to analyze the user's emotional state. The input is the user's voice and facial expression data, and the output is the analyzed emotional state.

[0435] Step 6:

[0436] Based on the server's analysis of the user's emotional state, it generates music and suggestions to reduce stress that are tailored to the user's emotions. Using this generation AI model, it determines the optimal suggestion using pre-prepared prompts and sends that suggestion to the device.

[0437] Step 7:

[0438] The device adds suggestions received from the server and relaxing music to the user interface, and also plays the music. This allows the user to feel at ease and engage in the migration process.

[0439] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0440] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0441] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0442] [Third Embodiment]

[0443] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0444] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0445] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0446] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0447] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0448] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0449] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0450] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0451] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0452] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0453] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0454] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0455] This invention provides a system that supports users in efficiently carrying out the moving process. The system is implemented by three main entities: a server, a terminal, and the user. It also utilizes natural language processing technology to analyze user input and select accommodations and compare transportation companies.

[0456] First, the user enters their moving preferences and requirements using natural language on their device. For example, they might enter, "Please find me a 2LDK apartment in Tokyo that allows pets." This information is then sent to the server via the communication function.

[0457] The server uses natural language processing technology to analyze user requests and searches the database. Based on the analysis, it collects information on relevant accommodations and returns that information to the user. Furthermore, to select a transportation provider, it obtains quotes from multiple providers and presents the user with the best option based on those quotes.

[0458] Next, the terminal displays the acquired information on accommodation and transportation companies to the user and prompts them to make a selection. Based on the user's selection, the server creates and visualizes a detailed moving schedule. This schedule provides the user with real-time progress updates and also guides them through necessary address changes and utility procedures.

[0459] For example, if a user needs to move within a short period of time due to work, they can use the system to quickly find a property that meets their requirements, efficiently select a moving company, and proceed with the procedures. This method allows users to reduce the time and effort that would have traditionally been required, resulting in a smoother move.

[0460] In this way, this invention allows users to centrally manage the moving process and proceed with peace of mind and efficiency.

[0461] The following describes the processing flow.

[0462] Step 1:

[0463] The user enters their desired conditions in natural language into an input field on their device, such as "I want to find a pet-friendly 2LDK apartment in Tokyo." The device then sends these conditions to the server.

[0464] Step 2:

[0465] The server analyzes the received natural language request and extracts the desired conditions. This analysis identifies the conditions as "within Tokyo," "pets allowed," and "2LDK."

[0466] Step 3:

[0467] The server searches a database of residential properties based on the specified criteria and creates a list of matching properties. This list is then sent back to the terminal.

[0468] Step 4:

[0469] The device displays the received property list to the user. The user selects a property from the list that interests them.

[0470] Step 5:

[0471] Based on the property information selected by the user, the terminal sends a request to the server to obtain quotes from multiple transportation companies.

[0472] Step 6:

[0473] The server collects quote information from shipping companies via API and compares the prices and services of each company. The comparison results are then sent to the terminal.

[0474] Step 7:

[0475] The terminal presents the user with a selection of the most suitable transportation companies. The user then chooses a company from the suggested options and confirms the moving date.

[0476] Step 8:

[0477] Based on user selections and scheduling information, the server creates a detailed migration schedule. The schedule is displayed on a dashboard showing the progress.

[0478] Step 9:

[0479] The server generates a list to assist with address changes and utility procedures after moving, and provides the relevant information to the user via the terminal.

[0480] Step 10:

[0481] By following the information provided, users can complete the necessary procedures and ensure a smooth overall relocation process.

[0482] (Example 1)

[0483] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0484] Moving requires a tremendous amount of time and effort to manage a wide range of tasks individually, such as selecting a new residence, choosing a moving company, scheduling, and changing your address. In particular, there is a need for an integrated support system that allows users to complete these tasks appropriately and efficiently.

[0485] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0486] In this invention, the server includes means for analyzing user requests using natural language processing, searching for information sources that manage information about residences and presenting candidates, means for acquiring evaluation information of multiple transport companies, comparing companies based on that information and presenting the optimal choice, and means for scheduling and visualizing progress. As a result, users can centrally manage all elements related to moving and complete their move efficiently and quickly.

[0487] "Natural language processing" is the technology that enables computers to understand, interpret, and generate human language.

[0488] A "source of information for managing housing-related information" is a database or information management system that aggregates information on rental and purchase properties in one place, allowing users to search for properties that meet their criteria.

[0489] "Transportation provider evaluation information" refers to detailed information about companies that provide moving and transportation services, such as fees, service quality, and customer ratings.

[0490] "A means of comparing and presenting the optimal option" refers to a process of analyzing multiple available options based on evaluation criteria and showing the option that is most beneficial to the user.

[0491] "Schedule management means for scheduling and visualizing progress" refers to software or a system that allows users to create schedules and visually check their progress.

[0492] An "electronic information processing device" is a digital device or machine that has the function of inputting, exchanging, storing, or outputting information.

[0493] An "administration screen" is a user interface designed to monitor and manipulate data and processes within a system.

[0494] This invention is a comprehensive support system for users who wish to move, enabling them to efficiently manage everything from selecting a residence and arranging transportation to scheduling their move. The system is composed of three elements: a server, terminals, and users, working together.

[0495] The user first inputs their preferences and requirements using natural language via a device. This is done using electronic information processing devices such as smartphones or personal computers, accessing the system through a dedicated application or web platform. An example of input is the prompt, "Please find a pet-friendly 2LDK apartment in Tokyo."

[0496] The data acquired by the device is sent to the server via the internet. The server analyzes this data using natural language processing technology. For analysis, for example, Natural Language Toolkit or natural language APIs from cloud services can be used. This analysis clarifies the user's conditions and preferences, and based on that, the database of housing information is searched.

[0497] As a search result, the server presents the user with suitable housing options. Regarding the selection of transportation providers, the server compares evaluation information and quotes from multiple partner companies to provide the user with the best option.

[0498] The user receives this information through their device and selects their accommodation and transportation provider. The selected information is sent to a server, which creates a detailed moving schedule and provides it to the device. This schedule is displayed visually on the device, allowing the user to check the progress at any time. The server also provides guidance on necessary procedures and address changes, helping the user to complete the process without forgetting anything.

[0499] In this way, the present invention allows users to efficiently and centrally manage the entire moving process, enabling them to start their new life with peace of mind.

[0500] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0501] Step 1:

[0502] The user uses a terminal to input their moving preferences and requirements in natural language. This input may include prompts such as, "Please find a pet-friendly 2LDK apartment in Tokyo." The terminal sends the input to the server as text data.

[0503] Step 2:

[0504] The server analyzes text data received from the terminal using natural language processing technology. This process utilizes the Natural Language Toolkit and cloud-based natural language APIs to extract conditions such as "Tokyo area," "pets allowed," and "2LDK" from the input text. The analysis results are used to search a database of housing information.

[0505] Step 3:

[0506] The server searches the housing information database using the extracted criteria and collects property information that matches those criteria. This includes detailed data such as the property's address, price, and photos. The server then sends this information to the terminal.

[0507] Step 4:

[0508] The terminal displays property information sent from the server to the user. The user selects their desired accommodation from the presented properties. The selection is made via the terminal's interface, and the selection result is sent to the server.

[0509] Step 5:

[0510] The server sends quote requests to multiple carriers via API based on the user's selection. It receives the quote information returned by the carriers and uses it to compare each carrier. It then sends the user the carrier selection that it considers to be the best fit.

[0511] Step 6:

[0512] The terminal displays quote information from shipping companies received from the server to the user. The user compares the services and costs offered by each shipping company and selects the most suitable one. This selection is also communicated to the server by the terminal.

[0513] Step 7:

[0514] The server creates a detailed relocation schedule based on the user's selections. The schedule includes the relocation date, deadlines for procedures, and various contact details. The server then sends the schedule data to the user's device.

[0515] Step 8:

[0516] The device visually displays the moving schedule to the user, allowing them to check the progress in real time. It also provides necessary information regarding address changes and utility procedures. This support enables users to complete their move smoothly.

[0517] (Application Example 1)

[0518] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0519] When moving, users face numerous challenges, including not only selecting a new residence and choosing a moving company, but also gathering information about the surrounding living environment and selecting facilities and shops to visit. However, efficiently collecting this vast amount of information and executing the process under optimal conditions is not easy. This invention aims to efficiently solve these problems and facilitate the user's moving process.

[0520] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0521] In this invention, the server includes means for analyzing the user's request using natural language processing, searching a database of residential facilities and presenting candidates, obtaining quotes from multiple transportation companies, comparing those companies based on that information and presenting the optimal choice, and obtaining and providing information on surrounding facilities based on the area of ​​the new residence to the user. As a result, the user can receive consistent and smooth support from selecting candidates for their move to understanding the surrounding environment.

[0522] "Natural language processing" is a technology that enables computers to understand, analyze, and process human language.

[0523] A "residential property database" is an electronic information repository containing various property information, used to provide relevant information based on user preferences.

[0524] A "transportation company" is a company or organization that provides services for transporting goods or packages from one place to another.

[0525] A "schedule management system" is a method of using a computer to manage a user's schedule and plans, enabling them to use their time efficiently.

[0526] "Address change procedures" refer to a series of formal procedures required when an individual moves to a new place of residence.

[0527] "Lifelines" refer to public infrastructure such as electricity, water, gas, and telecommunications, which are essential for daily life.

[0528] "Information about surrounding facilities" refers to information about shops and services that are useful for daily life and activities in the area where the user lives or visits.

[0529] "Promotional information" refers to information such as discounts and benefits offered to consumers regarding specific products or services.

[0530] The embodiment of this invention primarily involves the interaction of a server, a terminal, and a user. The server analyzes user requests using natural language processing technology. Specifically, it uses the natural language processing library spaCy to structurally analyze the request sentence entered by the user. Based on the analyzed information, the server searches and compares databases of accommodation facilities and quotes from transportation companies.

[0531] The terminal is responsible for receiving information from the server and displaying it to the user. For example, a user can use an application on their smartphone to check property information and information about nearby facilities in their new location. It is also possible to use the Google Maps API to obtain information about nearby facilities and notify the user of promotional information for specific stores or services.

[0532] Based on this information, users can select housing and transportation providers, and efficiently procure essential goods and services needed in their new area. For example, if a user requests to buy groceries near their new home, the server will gather information on special offers at the nearest supermarket and suggest the optimal route.

[0533] An example of a prompt to input into the generating AI model is, "Considering the user's current location and the location of their new residence, please tell me about the sales at the nearest supermarket." This allows the user to efficiently and quickly obtain the necessary information and support the moving process.

[0534] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0535] Step 1:

[0536] The user uses a device to input a request in natural language. The input might be something like, "Please find a pet shop in my neighborhood." This request is then sent from the device to the server.

[0537] Step 2:

[0538] The server analyzes the received request using a natural language processing library (e.g., spaCy). It extracts keywords from the input sentence and constructs search queries for a database of residential facilities and information sources for surrounding facilities. Based on the analysis results, it collects information on specific candidate facilities.

[0539] Step 3:

[0540] The server utilizes the Google Maps API to retrieve information about nearby facilities associated with the user's current location. Based on the user's request, it searches for specific pet shops or facilities that meet the specified criteria and generates the results.

[0541] Step 4:

[0542] The server processes the collected information, providing optimal routes and promotional information, before sending the information to the terminal. The output includes detailed information such as, "The nearest pet shop is XX, and they are currently running a campaign."

[0543] Step 5:

[0544] The device displays the received information to the user and prompts them to make a choice. The user then decides on the necessary action based on the presented options.

[0545] Step 6:

[0546] The server manages the schedule and progress based on the facility and service information selected by the user, enabling them to navigate the process effectively. This allows users to consistently and efficiently utilize information and meet the diverse lifestyle needs.

[0547] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0548] This invention provides a system that not only allows users to efficiently manage the relocation process but also recognizes the user's emotional state and makes suggestions based on it. The system consists of three main parts: a server, a terminal, and an emotion engine.

[0549] First, the user uses their device to input their moving conditions and preferences in natural language. For example, the user might input, "I want to move closer to my child's school by the middle of next month." This input is then sent to the server by the device.

[0550] The server uses a natural language processing engine to analyze the user's request. This analysis generates specific search criteria, which are then used to search the housing database. Simultaneously, an emotion engine analyzes the user's emotions from the input text, recognizing, for example, that the user is experiencing stress related to moving.

[0551] Next, the server uses the emotion recognition results to make more appropriate and less stressful suggestions to the user. For example, if the emotion engine determines that the user is feeling anxious, the terminal will suggest properties that provide a sense of security or propose plans with extensive support when selecting a moving company.

[0552] Furthermore, in the carrier selection process, the server obtains multiple quotes and compares them. Based on the user's emotional state, it adjusts the way and timing of presenting options to optimize the process and reduce the user's burden.

[0553] Finally, the finalized schedule and progress are visualized and provided to the user via their device. Based on this information, the user can smoothly proceed with procedures such as changing their address or applying for utilities.

[0554] For example, if a move needs to be carried out urgently, the server can quickly arrange for a moving company and set a timeframe that meets the user's expectations based on user input. By using an emotion engine, it is possible to provide users with a sense of security and ensure the process proceeds smoothly.

[0555] Thus, the system of the present invention aims to reduce the burden on users by providing an optimal moving process according to the user's needs and emotions.

[0556] The following describes the processing flow.

[0557] Step 1:

[0558] The user enters specific preferences, such as "I want to move closer to my new workplace by the end of March," in natural language on the terminal's input interface. This input is then sent to the server via the terminal.

[0559] Step 2:

[0560] The server analyzes the received natural language input using a natural language processing engine to identify specific needs such as "end of March," "new workplace," and "relocation."

[0561] Step 3:

[0562] The server searches a database of residential properties based on the identified needs and generates a list of suitable properties.

[0563] Step 4:

[0564] At the same time, the emotion engine analyzes the user's emotions and detects things like "urgency" and "anxiety" from the input text.

[0565] Step 5:

[0566] The server adjusts the property list provided to the user based on the results of the emotion engine's analysis. For example, it prioritizes showing properties that allow for quick relocation to users who feel a sense of urgency.

[0567] Step 6:

[0568] The device displays a curated list of properties to the user and prompts them to make a selection. The user chooses a property from the list that interests them.

[0569] Step 7:

[0570] Based on the user's selection, the terminal requests quotes from multiple shipping companies from the server.

[0571] Step 8:

[0572] The server uses an API to collect quotes from transportation companies, selects them based on price and availability, and makes suggestions tailored to the user's emotional state.

[0573] Step 9:

[0574] The terminal displays suggestions for the most suitable shipping carrier to the user, who then confirms their preferred carrier and schedule.

[0575] Step 10:

[0576] Based on the user's selection, the server generates a schedule and presents it on a dashboard. This dashboard visualizes the progress of the migration and guides the user through the necessary procedures.

[0577] Step 11:

[0578] After moving, users follow the instructions on the dashboard to complete procedures such as changing their address and arranging utilities.

[0579] This format allows for an efficient and less stressful relocation process while taking into account the user's emotional state.

[0580] (Example 2)

[0581] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0582] Moving is a stressful and complex process for many people, but traditional systems struggle to adequately consider the emotional state of users and provide appropriate and timely suggestions. Furthermore, the management of various companies and schedules is fragmented, making it difficult for users to grasp the overall progress and proceed efficiently.

[0583] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0584] In this invention, the server includes means for analyzing the user's request using natural language processing and searching a dataset of residential facilities to present candidates, means for analyzing the user's emotional state to suggest the most suitable building, and means for obtaining quotes from multiple transportation companies, comparing those companies based on that information, and presenting the best option. As a result, the user can receive suggestions tailored to their individual circumstances and proceed through the entire process efficiently and without stress.

[0585] "Natural language processing" is the technology that enables computers to understand, analyze, and generate human language.

[0586] A "residential facilities dataset" is a collection of information about houses and buildings that are available for relocation.

[0587] "Emotional state" refers to data that indicates the emotional characteristics and psychological state of a user.

[0588] A "transportation company" is a business that provides services related to moving and transportation.

[0589] A "quote" is a proposal that outlines the expected costs and conditions for providing a specific service.

[0590] "Schedule management" is the process of tracking and adjusting the progress of tasks.

[0591] "Shared resources" refer to public infrastructure and services related to moving.

[0592] The system implementing this invention mainly includes a server, a terminal, and an emotion engine. The user uses the terminal to input moving conditions and preferences in natural language through a dedicated application. This information is securely transmitted to the server using the HTTPS protocol.

[0593] The server uses an NLP engine to analyze user input, for example, using a common natural language processing library. Based on this analysis, it extracts specific search criteria and queries the dataset to obtain information on residential facilities that match the request. As an emotion engine, it uses commercially available emotion analysis software to analyze the user's emotions and understand their psychological state, such as stress related to moving.

[0594] Based on sentiment analysis results, the server suggests properties that instill a sense of security in the user, as well as transportation companies with robust support systems. It also collects quotes from multiple transportation companies, compares each option, and presents the optimal solution. Schedule management is handled by a database on the server and visualized on the user's terminal.

[0595] For example, if a user enters "I want to move closer to my child's school by the middle of next month," the server uses this information to find properties near the school's location, uses an emotion engine to check if the user is feeling anxious, and then presents reassuring options.

[0596] An example of a prompt for a generative AI model would be, "Tell me what services you can suggest if a user is feeling stressed about moving." This would create an environment where users can move with peace of mind.

[0597] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0598] Step 1:

[0599] Users log in to a dedicated application using their device and enter their moving conditions and preferences in natural language. This input string is retrieved through an HTML form, converted to JSON format, and sent to the next step.

[0600] Step 2:

[0601] The terminal sends user input to the server using the HTTPS protocol. This protocol protects data privacy and ensures secure delivery to the server. The server decodes the received JSON data for analysis.

[0602] Step 3:

[0603] The server analyzes user input decoded using a natural language processing engine. Specifically, it extracts requirements using an NLP library and generates a structured search query. Based on this query, it searches the residential property dataset and retrieves property information that matches the criteria.

[0604] Step 4:

[0605] The server uses an emotion engine to analyze the user's emotional state from the input text. The emotion analysis software analyzes the tone and expression of the text to determine whether the user is feeling stress, anxiety, or other emotions. This process generates an emotional index.

[0606] Step 5:

[0607] The server generates optimal suggestions for the user based on sentiment analysis metrics and search query results. For example, it might select properties that reduce stress or transportation plans with excellent support. These suggestions are rendered in real time and returned to the user's device.

[0608] Step 6:

[0609] The terminal displays the optimal suggestions provided by the server to the user. Here, the user interface organizes information in a comparable format and uses visual elements to ensure easy user understanding.

[0610] Step 7:

[0611] Schedules and selection information approved by the user are sent to the server via the terminal and stored in the server's database. This allows for efficient progress management and scheduling, and the schedule is displayed as a visualized schedule on the terminal.

[0612] Step 8:

[0613] The server constantly monitors the user's progress data and emotional state, updating prompts and suggestions as needed. This ensures a comfortable and efficient migration experience for the user.

[0614] (Application Example 2)

[0615] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0616] Traditional moving support systems merely provide information on properties and transportation companies, and are unable to offer individualized support tailored to the user's emotional state. Therefore, effectively reducing the stress experienced during the moving process was difficult. In particular, a lack of appropriate suggestions and support was a problem when users experienced anxiety or stress related to moving.

[0617] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0618] In this invention, the server includes means for analyzing the user's request using natural language processing, searching a data repository of residential facilities and presenting candidates, obtaining quotes from multiple transportation companies, comparing the companies based on that information and presenting the optimal option, and analyzing the user's emotional state through emotion recognition and making emotion-based suggestions. This enables the provision of individualized support and suggestions tailored to the user's emotional state, reducing the stress associated with moving and allowing the user to proceed with the moving process smoothly and with peace of mind.

[0619] "Natural language processing" is a technology that allows computers to understand and analyze human language, and is used to convert user requests into digital format.

[0620] A "residential property data repository" is a data storage system that aggregates property information that meets the user's desired criteria, and is used to search for specific housing options.

[0621] A "transportation provider" is a company or organization that provides moving services and presents transportation plans tailored to the user's relocation needs.

[0622] "Emotion recognition" is a technology that identifies a user's emotional state by analyzing their tone of voice and facial expressions.

[0623] "Schedule adjustment methods" refer to tools and methods for efficiently managing the dates and schedules related to a user's move, and for supporting the visualization of progress.

[0624] "Basic services" refer to essential services for daily life, such as electricity, water, and the internet, and are related to procedures for changing your address when moving.

[0625] A "management display device" is a device used to visually present the progress of a move and other related information.

[0626] This invention provides a system that considers the user's needs and emotional state during the moving process and offers optimal support and suggestions. The embodiments are described in detail below.

[0627] The system primarily consists of servers, terminals, and an emotion engine, all of which work together in coordination.

[0628] The server runs on Google Cloud or Amazon Web Services, using the Google Cloud Natural Language API for natural language processing and the Face++ API for emotion recognition. The server first receives text input from the user, performs natural language processing, and searches the residential property data repository. It then presents the user with suitable property candidates.

[0629] Next, the emotion engine analyzes the user's emotional state in real time based on their voice or video data. Based on this analysis, the server generates and sends reassuring suggestions to the device. If the user is feeling anxious, music or suggestions to reduce stress will be displayed on the device.

[0630] The device takes the form of a smartphone or tablet and interacts directly with the user through a user interface. Here, information about moving companies and suggested schedules are displayed visually, and personalized suggestions tailored to the user's emotions pop up.

[0631] For example, if a user enters "I'd like to live in a safe neighborhood, but I don't know where to go," the system will recommend suitable properties based on safety information and evaluations of surrounding facilities in the area. If the emotion engine detects the user's anxiety, relaxing background sounds will be played on the device.

[0632] As an example of a prompt, passing a query such as, "When a user is feeling anxious about managing their moving schedule, what would be an appropriate suggestion to reassure them?" to the generating AI model can improve the accuracy of emotion-based suggestions.

[0633] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0634] Step 1:

[0635] Users input their moving conditions and preferences in natural language via their devices. This input data is sent to the server as text. The input here is text data entered by the user using a smartphone or tablet.

[0636] Step 2:

[0637] The server uses the received text data to activate a natural language processing engine. Using the Google Cloud Natural Language API, it parses the input language and converts the relocation conditions and preferences into a database query. The output is a search query to the housing facility data repository.

[0638] Step 3:

[0639] The server executes a query generated by the server against the residential property data repository to retrieve property information that matches the criteria. The retrieved property information is then organized in a way that is optimal for the user and generated as a list. This list is then sent from the server to the terminal.

[0640] Step 4:

[0641] The terminal receives a list of property information sent from the server and displays it on the user interface. The user can review this list and select options to view more detailed information.

[0642] Step 5:

[0643] The server receives audio and video data from the terminal in real time and runs the emotion recognition engine. It uses the Face++ API to analyze the user's emotional state. The input is the user's voice and facial expression data, and the output is the analyzed emotional state.

[0644] Step 6:

[0645] Based on the server's analysis of the user's emotional state, it generates music and suggestions to reduce stress that are tailored to the user's emotions. Using this generation AI model, it determines the optimal suggestion using pre-prepared prompts and sends that suggestion to the device.

[0646] Step 7:

[0647] The device adds suggestions received from the server and relaxing music to the user interface, and also plays the music. This allows the user to feel at ease and engage in the migration process.

[0648] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0649] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0650] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0651] [Fourth Embodiment]

[0652] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0653] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0654] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0655] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0656] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0657] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0658] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0659] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0660] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0661] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0662] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0663] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0664] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0665] This invention provides a system that supports users in efficiently carrying out the moving process. The system is implemented by three main entities: a server, a terminal, and the user. It also utilizes natural language processing technology to analyze user input and select accommodations and compare transportation companies.

[0666] First, the user enters their moving preferences and requirements using natural language on their device. For example, they might enter, "Please find me a 2LDK apartment in Tokyo that allows pets." This information is then sent to the server via the communication function.

[0667] The server uses natural language processing technology to analyze user requests and searches the database. Based on the analysis, it collects information on relevant accommodations and returns that information to the user. Furthermore, to select a transportation provider, it obtains quotes from multiple providers and presents the user with the best option based on those quotes.

[0668] Next, the terminal displays the acquired information on accommodation and transportation companies to the user and prompts them to make a selection. Based on the user's selection, the server creates and visualizes a detailed moving schedule. This schedule provides the user with real-time progress updates and also guides them through necessary address changes and utility procedures.

[0669] For example, if a user needs to move within a short period of time due to work, they can use the system to quickly find a property that meets their requirements, efficiently select a moving company, and proceed with the procedures. This method allows users to reduce the time and effort that would have traditionally been required, resulting in a smoother move.

[0670] In this way, this invention allows users to centrally manage the moving process and proceed with peace of mind and efficiency.

[0671] The following describes the processing flow.

[0672] Step 1:

[0673] The user enters their desired conditions in natural language into an input field on their device, such as "I want to find a pet-friendly 2LDK apartment in Tokyo." The device then sends these conditions to the server.

[0674] Step 2:

[0675] The server analyzes the received natural language request and extracts the desired conditions. This analysis identifies the conditions as "within Tokyo," "pets allowed," and "2LDK."

[0676] Step 3:

[0677] The server searches a database of residential properties based on the specified criteria and creates a list of matching properties. This list is then sent back to the terminal.

[0678] Step 4:

[0679] The device displays the received property list to the user. The user selects a property from the list that interests them.

[0680] Step 5:

[0681] Based on the property information selected by the user, the terminal sends a request to the server to obtain quotes from multiple transportation companies.

[0682] Step 6:

[0683] The server collects quote information from shipping companies via API and compares the prices and services of each company. The comparison results are then sent to the terminal.

[0684] Step 7:

[0685] The terminal presents the user with a selection of the most suitable transportation companies. The user then chooses a company from the suggested options and confirms the moving date.

[0686] Step 8:

[0687] Based on user selections and scheduling information, the server creates a detailed migration schedule. The schedule is displayed on a dashboard showing the progress.

[0688] Step 9:

[0689] The server generates a list to assist with address changes and utility procedures after moving, and provides the relevant information to the user via the terminal.

[0690] Step 10:

[0691] By following the information provided, users can complete the necessary procedures and ensure a smooth overall relocation process.

[0692] (Example 1)

[0693] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0694] Moving requires a tremendous amount of time and effort to manage a wide range of tasks individually, such as selecting a new residence, choosing a moving company, scheduling, and changing your address. In particular, there is a need for an integrated support system that allows users to complete these tasks appropriately and efficiently.

[0695] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0696] In this invention, the server includes means for analyzing user requests using natural language processing, searching for information sources that manage information about residences and presenting candidates, means for acquiring evaluation information of multiple transport companies, comparing companies based on that information and presenting the optimal choice, and means for scheduling and visualizing progress. As a result, users can centrally manage all elements related to moving and complete their move efficiently and quickly.

[0697] "Natural language processing" is the technology that enables computers to understand, interpret, and generate human language.

[0698] A "source of information for managing housing-related information" is a database or information management system that aggregates information on rental and purchase properties in one place, allowing users to search for properties that meet their criteria.

[0699] "Transportation provider evaluation information" refers to detailed information about companies that provide moving and transportation services, such as fees, service quality, and customer ratings.

[0700] "A means of comparing and presenting the optimal option" refers to a process of analyzing multiple available options based on evaluation criteria and showing the option that is most beneficial to the user.

[0701] "Schedule management means for scheduling and visualizing progress" refers to software or a system that allows users to create schedules and visually check their progress.

[0702] An "electronic information processing device" is a digital device or machine that has the function of inputting, exchanging, storing, or outputting information.

[0703] An "administration screen" is a user interface designed to monitor and manipulate data and processes within a system.

[0704] This invention is a comprehensive support system for users who wish to move, enabling them to efficiently manage everything from selecting a residence and arranging transportation to scheduling their move. The system is composed of three elements: a server, terminals, and users, working together.

[0705] The user first inputs their preferences and requirements using natural language via a device. This is done using electronic information processing devices such as smartphones or personal computers, accessing the system through a dedicated application or web platform. An example of input is the prompt, "Please find a pet-friendly 2LDK apartment in Tokyo."

[0706] The data acquired by the device is sent to the server via the internet. The server analyzes this data using natural language processing technology. For analysis, for example, Natural Language Toolkit or natural language APIs from cloud services can be used. This analysis clarifies the user's conditions and preferences, and based on that, the database of housing information is searched.

[0707] As a search result, the server presents the user with suitable housing options. Regarding the selection of transportation providers, the server compares evaluation information and quotes from multiple partner companies to provide the user with the best option.

[0708] The user receives this information through their device and selects their accommodation and transportation provider. The selected information is sent to a server, which creates a detailed moving schedule and provides it to the device. This schedule is displayed visually on the device, allowing the user to check the progress at any time. The server also provides guidance on necessary procedures and address changes, helping the user to complete the process without forgetting anything.

[0709] In this way, the present invention allows users to efficiently and centrally manage the entire moving process, enabling them to start their new life with peace of mind.

[0710] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0711] Step 1:

[0712] The user uses a terminal to input their moving preferences and requirements in natural language. This input may include prompts such as, "Please find a pet-friendly 2LDK apartment in Tokyo." The terminal sends the input to the server as text data.

[0713] Step 2:

[0714] The server analyzes text data received from the terminal using natural language processing technology. This process utilizes the Natural Language Toolkit and cloud-based natural language APIs to extract conditions such as "Tokyo area," "pets allowed," and "2LDK" from the input text. The analysis results are used to search a database of housing information.

[0715] Step 3:

[0716] The server searches the housing information database using the extracted criteria and collects property information that matches those criteria. This includes detailed data such as the property's address, price, and photos. The server then sends this information to the terminal.

[0717] Step 4:

[0718] The terminal displays property information sent from the server to the user. The user selects their desired accommodation from the presented properties. The selection is made via the terminal's interface, and the selection result is sent to the server.

[0719] Step 5:

[0720] The server sends quote requests to multiple carriers via API based on the user's selection. It receives the quote information returned by the carriers and uses it to compare each carrier. It then sends the user the carrier selection that it considers to be the best fit.

[0721] Step 6:

[0722] The terminal displays quote information from shipping companies received from the server to the user. The user compares the services and costs offered by each shipping company and selects the most suitable one. This selection is also communicated to the server by the terminal.

[0723] Step 7:

[0724] The server creates a detailed relocation schedule based on the user's selections. The schedule includes the relocation date, deadlines for procedures, and various contact details. The server then sends the schedule data to the user's device.

[0725] Step 8:

[0726] The device visually displays the moving schedule to the user, allowing them to check the progress in real time. It also provides necessary information regarding address changes and utility procedures. This support enables users to complete their move smoothly.

[0727] (Application Example 1)

[0728] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0729] When moving, users face numerous challenges, including not only selecting a new residence and choosing a moving company, but also gathering information about the surrounding living environment and selecting facilities and shops to visit. However, efficiently collecting this vast amount of information and executing the process under optimal conditions is not easy. This invention aims to efficiently solve these problems and facilitate the user's moving process.

[0730] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0731] In this invention, the server includes means for analyzing the user's request using natural language processing, searching a database of residential facilities and presenting candidates, obtaining quotes from multiple transportation companies, comparing those companies based on that information and presenting the optimal choice, and obtaining and providing information on surrounding facilities based on the area of ​​the new residence to the user. As a result, the user can receive consistent and smooth support from selecting candidates for their move to understanding the surrounding environment.

[0732] "Natural language processing" is a technology that enables computers to understand, analyze, and process human language.

[0733] A "residential property database" is an electronic information repository containing various property information, used to provide relevant information based on user preferences.

[0734] A "transportation company" is a company or organization that provides services for transporting goods or packages from one place to another.

[0735] A "schedule management system" is a method of using a computer to manage a user's schedule and plans, enabling them to use their time efficiently.

[0736] "Address change procedures" refer to a series of formal procedures required when an individual moves to a new place of residence.

[0737] "Lifelines" refer to public infrastructure such as electricity, water, gas, and telecommunications, which are essential for daily life.

[0738] "Information about surrounding facilities" refers to information about shops and services that are useful for daily life and activities in the area where the user lives or visits.

[0739] "Promotional information" refers to information such as discounts and benefits offered to consumers regarding specific products or services.

[0740] The embodiment of this invention primarily involves the interaction of a server, a terminal, and a user. The server analyzes user requests using natural language processing technology. Specifically, it uses the natural language processing library spaCy to structurally analyze the request sentence entered by the user. Based on the analyzed information, the server searches and compares databases of accommodation facilities and quotes from transportation companies.

[0741] The terminal is responsible for receiving information from the server and displaying it to the user. For example, a user can use an application on their smartphone to check property information and information about nearby facilities in their new location. It is also possible to use the Google Maps API to obtain information about nearby facilities and notify the user of promotional information for specific stores or services.

[0742] Based on this information, users can select housing and transportation providers, and efficiently procure essential goods and services needed in their new area. For example, if a user requests to buy groceries near their new home, the server will gather information on special offers at the nearest supermarket and suggest the optimal route.

[0743] An example of a prompt to input into the generating AI model is, "Considering the user's current location and the location of their new residence, please tell me about the sales at the nearest supermarket." This allows the user to efficiently and quickly obtain the necessary information and support the moving process.

[0744] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0745] Step 1:

[0746] The user uses a device to input a request in natural language. The input might be something like, "Please find a pet shop in my neighborhood." This request is then sent from the device to the server.

[0747] Step 2:

[0748] The server analyzes the received request using a natural language processing library (e.g., spaCy). It extracts keywords from the input sentence and constructs search queries for a database of residential facilities and information sources for surrounding facilities. Based on the analysis results, it collects information on specific candidate facilities.

[0749] Step 3:

[0750] The server utilizes the Google Maps API to retrieve information about nearby facilities associated with the user's current location. Based on the user's request, it searches for specific pet shops or facilities that meet the specified criteria and generates the results.

[0751] Step 4:

[0752] The server processes the collected information, providing optimal routes and promotional information, before sending the information to the terminal. The output includes detailed information such as, "The nearest pet shop is XX, and they are currently running a campaign."

[0753] Step 5:

[0754] The device displays the received information to the user and prompts them to make a choice. The user then decides on the necessary action based on the presented options.

[0755] Step 6:

[0756] The server manages the schedule and progress based on the facility and service information selected by the user, enabling them to navigate the process effectively. This allows users to consistently and efficiently utilize information and meet the diverse lifestyle needs.

[0757] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0758] This invention provides a system that not only allows users to efficiently manage the relocation process but also recognizes the user's emotional state and makes suggestions based on it. The system consists of three main parts: a server, a terminal, and an emotion engine.

[0759] First, the user uses their device to input their moving conditions and preferences in natural language. For example, the user might input, "I want to move closer to my child's school by the middle of next month." This input is then sent to the server by the device.

[0760] The server uses a natural language processing engine to analyze the user's request. This analysis generates specific search criteria, which are then used to search the housing database. Simultaneously, an emotion engine analyzes the user's emotions from the input text, recognizing, for example, that the user is experiencing stress related to moving.

[0761] Next, the server uses the emotion recognition results to make more appropriate and less stressful suggestions to the user. For example, if the emotion engine determines that the user is feeling anxious, the terminal will suggest properties that provide a sense of security or propose plans with extensive support when selecting a moving company.

[0762] Furthermore, in the carrier selection process, the server obtains multiple quotes and compares them. Based on the user's emotional state, it adjusts the way and timing of presenting options to optimize the process and reduce the user's burden.

[0763] Finally, the finalized schedule and progress are visualized and provided to the user via their device. Based on this information, the user can smoothly proceed with procedures such as changing their address or applying for utilities.

[0764] For example, if a move needs to be carried out urgently, the server can quickly arrange for a moving company and set a timeframe that meets the user's expectations based on user input. By using an emotion engine, it is possible to provide users with a sense of security and ensure the process proceeds smoothly.

[0765] Thus, the system of the present invention aims to reduce the burden on users by providing an optimal moving process according to the user's needs and emotions.

[0766] The following describes the processing flow.

[0767] Step 1:

[0768] The user enters specific preferences, such as "I want to move closer to my new workplace by the end of March," in natural language on the terminal's input interface. This input is then sent to the server via the terminal.

[0769] Step 2:

[0770] The server analyzes the received natural language input using a natural language processing engine to identify specific needs such as "end of March," "new workplace," and "relocation."

[0771] Step 3:

[0772] The server searches a database of residential properties based on the identified needs and generates a list of suitable properties.

[0773] Step 4:

[0774] At the same time, the emotion engine analyzes the user's emotions and detects things like "urgency" and "anxiety" from the input text.

[0775] Step 5:

[0776] The server adjusts the property list provided to the user based on the results of the emotion engine's analysis. For example, it prioritizes showing properties that allow for quick relocation to users who feel a sense of urgency.

[0777] Step 6:

[0778] The device displays a curated list of properties to the user and prompts them to make a selection. The user chooses a property from the list that interests them.

[0779] Step 7:

[0780] Based on the user's selection, the terminal requests quotes from multiple shipping companies from the server.

[0781] Step 8:

[0782] The server uses an API to collect quotes from transportation companies, selects them based on price and availability, and makes suggestions tailored to the user's emotional state.

[0783] Step 9:

[0784] The terminal displays suggestions for the most suitable shipping carrier to the user, who then confirms their preferred carrier and schedule.

[0785] Step 10:

[0786] Based on the user's selection, the server generates a schedule and presents it on a dashboard. This dashboard visualizes the progress of the migration and guides the user through the necessary procedures.

[0787] Step 11:

[0788] After moving, users follow the instructions on the dashboard to complete procedures such as changing their address and arranging utilities.

[0789] This format allows for an efficient and less stressful relocation process while taking into account the user's emotional state.

[0790] (Example 2)

[0791] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0792] Moving is a stressful and complex process for many people, but traditional systems struggle to adequately consider the emotional state of users and provide appropriate and timely suggestions. Furthermore, the management of various companies and schedules is fragmented, making it difficult for users to grasp the overall progress and proceed efficiently.

[0793] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0794] In this invention, the server includes means for analyzing the user's request using natural language processing and searching a dataset of residential facilities to present candidates, means for analyzing the user's emotional state to suggest the most suitable building, and means for obtaining quotes from multiple transportation companies, comparing those companies based on that information, and presenting the best option. As a result, the user can receive suggestions tailored to their individual circumstances and proceed through the entire process efficiently and without stress.

[0795] "Natural language processing" is the technology that enables computers to understand, analyze, and generate human language.

[0796] A "residential facilities dataset" is a collection of information about houses and buildings that are available for relocation.

[0797] "Emotional state" refers to data that indicates the emotional characteristics and psychological state of a user.

[0798] A "transportation company" is a business that provides services related to moving and transportation.

[0799] A "quote" is a proposal that outlines the expected costs and conditions for providing a specific service.

[0800] "Schedule management" is the process of tracking and adjusting the progress of tasks.

[0801] "Shared resources" refer to public infrastructure and services related to moving.

[0802] The system implementing this invention mainly includes a server, a terminal, and an emotion engine. The user uses the terminal to input moving conditions and preferences in natural language through a dedicated application. This information is securely transmitted to the server using the HTTPS protocol.

[0803] The server uses an NLP engine to analyze user input, for example, using a common natural language processing library. Based on this analysis, it extracts specific search criteria and queries the dataset to obtain information on residential facilities that match the request. As an emotion engine, it uses commercially available emotion analysis software to analyze the user's emotions and understand their psychological state, such as stress related to moving.

[0804] Based on sentiment analysis results, the server suggests properties that instill a sense of security in the user, as well as transportation companies with robust support systems. It also collects quotes from multiple transportation companies, compares each option, and presents the optimal solution. Schedule management is handled by a database on the server and visualized on the user's terminal.

[0805] For example, if a user enters "I want to move closer to my child's school by the middle of next month," the server uses this information to find properties near the school's location, uses an emotion engine to check if the user is feeling anxious, and then presents reassuring options.

[0806] An example of a prompt for a generative AI model would be, "Tell me what services you can suggest if a user is feeling stressed about moving." This would create an environment where users can move with peace of mind.

[0807] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0808] Step 1:

[0809] Users log in to a dedicated application using their device and enter their moving conditions and preferences in natural language. This input string is retrieved through an HTML form, converted to JSON format, and sent to the next step.

[0810] Step 2:

[0811] The terminal sends user input to the server using the HTTPS protocol. This protocol protects data privacy and ensures secure delivery to the server. The server decodes the received JSON data for analysis.

[0812] Step 3:

[0813] The server analyzes user input decoded using a natural language processing engine. Specifically, it extracts requirements using an NLP library and generates a structured search query. Based on this query, it searches the residential property dataset and retrieves property information that matches the criteria.

[0814] Step 4:

[0815] The server uses an emotion engine to analyze the user's emotional state from the input text. The emotion analysis software analyzes the tone and expression of the text to determine whether the user is feeling stress, anxiety, or other emotions. This process generates an emotional index.

[0816] Step 5:

[0817] The server generates optimal suggestions for the user based on sentiment analysis metrics and search query results. For example, it might select properties that reduce stress or transportation plans with excellent support. These suggestions are rendered in real time and returned to the user's device.

[0818] Step 6:

[0819] The terminal displays the optimal suggestions provided by the server to the user. Here, the user interface organizes information in a comparable format and uses visual elements to ensure easy user understanding.

[0820] Step 7:

[0821] Schedules and selection information approved by the user are sent to the server via the terminal and stored in the server's database. This allows for efficient progress management and scheduling, and the schedule is displayed as a visualized schedule on the terminal.

[0822] Step 8:

[0823] The server constantly monitors the user's progress data and emotional state, updating prompts and suggestions as needed. This ensures a comfortable and efficient migration experience for the user.

[0824] (Application Example 2)

[0825] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0826] Traditional moving support systems merely provide information on properties and transportation companies, and are unable to offer individualized support tailored to the user's emotional state. Therefore, effectively reducing the stress experienced during the moving process was difficult. In particular, a lack of appropriate suggestions and support was a problem when users experienced anxiety or stress related to moving.

[0827] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0828] In this invention, the server includes means for analyzing the user's request using natural language processing, searching a data repository of residential facilities and presenting candidates, obtaining quotes from multiple transportation companies, comparing the companies based on that information and presenting the optimal option, and analyzing the user's emotional state through emotion recognition and making emotion-based suggestions. This enables the provision of individualized support and suggestions tailored to the user's emotional state, reducing the stress associated with moving and allowing the user to proceed with the moving process smoothly and with peace of mind.

[0829] "Natural language processing" is a technology that allows computers to understand and analyze human language, and is used to convert user requests into digital format.

[0830] A "residential property data repository" is a data storage system that aggregates property information that meets the user's desired criteria, and is used to search for specific housing options.

[0831] A "transportation provider" is a company or organization that provides moving services and presents transportation plans tailored to the user's relocation needs.

[0832] "Emotion recognition" is a technology that identifies a user's emotional state by analyzing their tone of voice and facial expressions.

[0833] "Schedule adjustment methods" refer to tools and methods for efficiently managing the dates and schedules related to a user's move, and for supporting the visualization of progress.

[0834] "Basic services" refer to essential services for daily life, such as electricity, water, and the internet, and are related to procedures for changing your address when moving.

[0835] A "management display device" is a device used to visually present the progress of a move and other related information.

[0836] This invention provides a system that considers the user's needs and emotional state during the moving process and offers optimal support and suggestions. The embodiments are described in detail below.

[0837] The system primarily consists of servers, terminals, and an emotion engine, all of which work together in coordination.

[0838] The server runs on Google Cloud or Amazon Web Services, using the Google Cloud Natural Language API for natural language processing and the Face++ API for emotion recognition. The server first receives text input from the user, performs natural language processing, and searches the residential property data repository. It then presents the user with suitable property candidates.

[0839] Next, the emotion engine analyzes the user's emotional state in real time based on their voice or video data. Based on this analysis, the server generates and sends reassuring suggestions to the device. If the user is feeling anxious, music or suggestions to reduce stress will be displayed on the device.

[0840] The device takes the form of a smartphone or tablet and interacts directly with the user through a user interface. Here, information about moving companies and suggested schedules are displayed visually, and personalized suggestions tailored to the user's emotions pop up.

[0841] For example, if a user enters "I'd like to live in a safe neighborhood, but I don't know where to go," the system will recommend suitable properties based on safety information and evaluations of surrounding facilities in the area. If the emotion engine detects the user's anxiety, relaxing background sounds will be played on the device.

[0842] As an example of a prompt, passing a query such as, "When a user is feeling anxious about managing their moving schedule, what would be an appropriate suggestion to reassure them?" to the generating AI model can improve the accuracy of emotion-based suggestions.

[0843] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0844] Step 1:

[0845] Users input their moving conditions and preferences in natural language via their devices. This input data is sent to the server as text. The input here is text data entered by the user using a smartphone or tablet.

[0846] Step 2:

[0847] The server uses the received text data to activate a natural language processing engine. Using the Google Cloud Natural Language API, it parses the input language and converts the relocation conditions and preferences into a database query. The output is a search query to the housing facility data repository.

[0848] Step 3:

[0849] The server executes a query generated by the server against the residential property data repository to retrieve property information that matches the criteria. The retrieved property information is then organized in a way that is optimal for the user and generated as a list. This list is then sent from the server to the terminal.

[0850] Step 4:

[0851] The terminal receives a list of property information sent from the server and displays it on the user interface. The user can review this list and select options to view more detailed information.

[0852] Step 5:

[0853] The server receives audio and video data from the terminal in real time and runs the emotion recognition engine. It uses the Face++ API to analyze the user's emotional state. The input is the user's voice and facial expression data, and the output is the analyzed emotional state.

[0854] Step 6:

[0855] Based on the server's analysis of the user's emotional state, it generates music and suggestions to reduce stress that are tailored to the user's emotions. Using this generation AI model, it determines the optimal suggestion using pre-prepared prompts and sends that suggestion to the device.

[0856] Step 7:

[0857] The device adds suggestions received from the server and relaxing music to the user interface, and also plays the music. This allows the user to feel at ease and engage in the migration process.

[0858] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0859] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0860] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0861] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0862] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0863] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0864] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0865] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0866] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0867] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0868] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0869] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0870] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0871] 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.

[0872] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0873] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0874] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0875] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0876] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0877] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0878] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0879] The following is further disclosed regarding the embodiments described above.

[0880] (Claim 1)

[0881] A means of analyzing user requests using natural language processing, searching a database of residential facilities, and presenting candidates,

[0882] A method of obtaining quotes from multiple transportation companies, comparing them based on that information, and presenting the best option,

[0883] A schedule management tool for scheduling and visualizing progress,

[0884] A means of guiding people through procedures such as changing their address and activating utilities,

[0885] A system that includes this.

[0886] (Claim 2)

[0887] The system according to claim 1, which analyzes input from a user, selects a residential facility that matches the requirements, and displays it on an electronic terminal.

[0888] (Claim 3)

[0889] The system according to claim 1, which displays the overall progress on a management dashboard based on the schedule information confirmed by the user.

[0890] "Example 1"

[0891] (Claim 1)

[0892] A means of analyzing user requests using natural language processing, searching for information sources that manage information about housing, and presenting candidates,

[0893] A method for obtaining evaluation information from multiple transportation companies, comparing them based on that information, and presenting the optimal option,

[0894] A scheduling management tool for coordinating schedules and visualizing progress,

[0895] A means of guiding people through procedures such as changing their address or using services,

[0896] A means of analyzing user input in real time using a cloud-based computer and managing the selection results,

[0897] A system that includes this.

[0898] (Claim 2)

[0899] The system according to claim 1, which analyzes input from a user, selects housing information that matches the request, and displays it on an electronic information processing device.

[0900] (Claim 3)

[0901] The system according to claim 1, which displays the overall progress on a management screen based on the schedule information confirmed by the user.

[0902] "Application Example 1"

[0903] (Claim 1)

[0904] A means of analyzing user requests using natural language processing, searching a database of residential facilities, and presenting candidates,

[0905] A method of obtaining quotes from multiple transportation companies, comparing them based on that information, and presenting the best option,

[0906] A schedule management tool for scheduling and visualizing progress,

[0907] A means of guiding people through procedures such as changing their address and activating utilities,

[0908] A means of obtaining and providing information on surrounding facilities based on the area of ​​the new residence to the user,

[0909] A means of collecting promotional information about the facility and notifying users,

[0910] A system that includes this.

[0911] (Claim 2)

[0912] The system according to claim 1, which analyzes input from a user, selects a residential facility that matches the requirements, and displays it on an electronic terminal.

[0913] (Claim 3)

[0914] The system according to claim 1, which displays the overall progress on a management dashboard based on the schedule information confirmed by the user, and provides information on nearby facilities based on the user's location information.

[0915] "Example 2 of combining an emotion engine"

[0916] (Claim 1)

[0917] A means of analyzing user requests using natural language processing, searching a dataset of residential facilities, and presenting candidates,

[0918] A method for analyzing emotional states and proposing the most suitable building for users,

[0919] One method involves obtaining quotes from multiple transportation companies, comparing them based on that information, and then presenting the best option.

[0920] A means of adjusting the way suggestions are presented based on the user's emotional state,

[0921] A schedule management tool for scheduling and visualizing progress,

[0922] A means of guiding people through procedures such as changing their address or using shared resources,

[0923] A system that includes this.

[0924] (Claim 2)

[0925] The system according to claim 1, which analyzes input from a user, selects a residential facility that matches the requirements, and displays it on an electronic device.

[0926] (Claim 3)

[0927] The system according to claim 1, which displays the overall progress on a management display device based on the user's confirmed schedule information and emotional state.

[0928] "Application example 2 when combining with an emotional engine"

[0929] (Claim 1)

[0930] A means of analyzing user requests using natural language processing, searching a data repository of residential facilities, and presenting candidates,

[0931] A method for obtaining quotes from multiple transportation companies, comparing those companies based on that information, and presenting the best option,

[0932] A scheduling tool for coordinating schedules and visualizing progress,

[0933] A means of guiding users through procedures such as changing their address and accessing basic services,

[0934] A means of analyzing the user's emotional state through emotion recognition and making suggestions based on those emotions,

[0935] A means of suggesting music to reduce stress to users in real time,

[0936] A system that includes this.

[0937] (Claim 2)

[0938] The system according to claim 1, which analyzes user input, selects residential facilities that match the requirements, displays them on an electronic device, and makes emotionally appropriate suggestions as needed.

[0939] (Claim 3)

[0940] The system according to claim 1, which displays the overall progress on a management display device based on the user's confirmed schedule information and emotional state. [Explanation of Symbols]

[0941] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of analyzing user requests using natural language processing, searching a database of residential facilities, and presenting candidates, A method of obtaining quotes from multiple transportation companies, comparing them based on that information, and presenting the best option, A schedule management tool for scheduling and visualizing progress, A means of guiding people through procedures such as changing their address and activating utilities, A means of obtaining and providing information on surrounding facilities based on the area of ​​the new residence to the user, A means of collecting promotional information about the facility and notifying users, A system that includes this.

2. The system according to claim 1, which analyzes input from a user, selects a residential facility that matches the requirements, and displays it on an electronic terminal.

3. The system according to claim 1, which displays the overall progress on a management dashboard based on the schedule information confirmed by the user, and provides information on nearby facilities based on the user's location information.

Images