system

Abstract

Provide a system. 【Solution means】 Means for automatically collecting information on childcare facilities, Means for detecting missing information from the collected information and automatically making inquiries, Means for automatically making a reservation for a visit to a childcare facility based on conditions specified by the user, Means for periodically checking the availability of childcare facilities and updating the information, Means for integrally displaying information on multiple childcare facilities in a form that is easy for the user to use, Means for proposing childcare facilities suitable for the user via a household device that accepts voice recognition or input via a touch panel, Means for the household device to check the latest information on childcare facilities and available dates for visits via the Internet and automatically make reservations, A system including the above.

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, and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a character of the chatbot, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the conventional search for nursery facilities, information on each facility had to be collected manually and individually, and confirmation had to be obtained from each facility for the missing information, which was a problem requiring a great deal of time and labor. Also, reservation for a visit and confirmation of availability were similarly complicated, and these procedures were a great burden on parents. Therefore, an improvement in the efficiency of searching for nursery facilities has been demanded.

Means for Solving the Problems

[0005] This invention has a function to automatically collect information on childcare facilities, detect and inquire about missing information, and automatically make reservations for facility visits based on user-specified conditions. Furthermore, it provides a system that significantly reduces the time and effort required to search for childcare facilities by regularly checking the availability of childcare facilities, updating the information, and displaying it in an easy-to-understand format for the user.

[0006] A "childcare facility" is a facility where parents can leave their children for a certain period of time, and includes kindergartens, nurseries, and daycare centers.

[0007] "Means of automatically collecting information" refers to technologies and processes for automatically acquiring data related to childcare facilities, either online or offline, based on pre-set conditions.

[0008] "Means for detecting missing information" refers to algorithms or systems for identifying and detecting items that are missing from the information already collected.

[0009] "Automated inquiry methods" refer to technologies that automatically send inquiries to childcare facilities via email or web forms in order to fill in any missing information.

[0010] "Methods for automatically making tour reservations" refer to technologies and processes that automatically complete tour reservations for childcare facilities using the internet, based on dates and conditions specified by the user.

[0011] "Means of regularly checking availability and updating information" refers to the technology or process of regularly checking the latest reservation availability of childcare facilities and updating the database accordingly.

[0012] "Means of integrated information display" refers to technologies for visually displaying collected childcare facility information in a unified format so that users can easily access and understand it. [Brief explanation of the drawing]

[0013] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention]

[0014] An example of an embodiment of the system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0015] First, the terms used in the following description will be explained.

[0016] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0017] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0018] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0019] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0020] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0021] [First Embodiment]

[0022] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0023] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0024] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0025] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0026] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0027] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0028] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0029] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0030] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0031] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0032] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0033] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0034] This invention is a system for streamlining the search for childcare facilities and consists of multiple modules. This system automatically collects information on childcare facilities, enables inquiries about missing information, automates scheduling visits, manages availability, and provides an integrated display of information. Specific embodiments are described below.

[0035] Information gathering

[0036] The server crawls online resources, including the official websites and related information of childcare facilities, and uses web scraping techniques to collect necessary data. For example, the server extracts basic information such as the location, contact information, opening hours, and capacity of "Nursery School A" and stores it in a database.

[0037] Automated query for missing information

[0038] The server detects missing information in the collected data based on specific criteria. This missing information is then supplemented by automatically generating and sending emails to childcare facilities. For example, if the server finds that fee information is missing for "Nursery School B," it will automatically send an email inquiring about this information.

[0039] Automation of tour reservations

[0040] Users can input their desired childcare facility and visit date through a dedicated application. The server then accesses the facility's online reservation system and automatically completes the reservation. For example, if a user requests a visit to "C Nursery School C," the server will make a reservation for the specified date.

[0041] Availability management

[0042] The server periodically checks municipal websites and updates the database with the latest availability information for childcare facilities. This information is later notified to users. For example, if the server checks the latest availability and finds that a vacancy has opened up at "D Nursery School," the information is updated immediately.

[0043] Integrated Information Display

[0044] The device visually organizes all collected information and provides a dashboard that users can easily view. This feature makes it easier for users to compare information on many facilities at a glance and choose the facility they want. For example, the device can display information on "Nursery School A," "Nursery School B," and "Nursery School C" in a list, allowing users to compare the features of each facility.

[0045] Thus, the present invention provides a system that significantly reduces the effort parents have to put into finding childcare facilities, enabling them to find the most suitable facility efficiently and quickly.

[0046] The following describes the processing flow.

[0047] Step 1:

[0048] The server crawls the official websites of childcare facilities and automatically collects necessary data using web scraping technology. This process extracts information such as location, contact information, opening hours, and capacity, and stores it in a database.

[0049] Step 2:

[0050] The server analyzes the collected information and detects any missing information. If missing information is detected, it automatically contacts childcare facilities via email or web form. This process ensures that the database information is as complete as possible.

[0051] Step 3:

[0052] Users enter the desired childcare facility and date / time through a dedicated application. Based on the user's input, the server accesses the childcare facility's online reservation system and automatically completes the reservation for the desired visit date.

[0053] Step 4:

[0054] The server periodically visits the official websites of municipalities to retrieve the latest availability information. The retrieved information is reflected in the database, and the data is updated as needed when new availability information is confirmed.

[0055] Step 5:

[0056] The device visually presents the collected and organized information to the user. Through this information, the user can compare multiple childcare facilities and view details of the selected facility.

[0057] (Example 1)

[0058] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0059] When parents search for childcare facilities, they face the challenge of finding a suitable facility efficiently and quickly due to the cumbersome process of gathering information, making reservations, and checking availability. In particular, collecting information scattered across the internet, inquiring about missing information, and making online reservations are time-consuming and burdensome, so there is a need for ways to automate and streamline these processes.

[0060] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0061] In this invention, the server includes means for automatically collecting information on childcare facilities using an information processing device, means for detecting missing information from the collected information and automatically making inquiries via electronic communication, and means for automatically completing a reservation for a visit to a childcare facility through an online reservation function based on conditions specified by the user. This makes it possible for parents to efficiently obtain information on childcare facilities and quickly find the most suitable facility.

[0062] An "information processing device" is a device that uses a computer or related technology to collect, process, store, and manage data.

[0063] "Automatic data collection" means that a program mechanically collects information from start to finish without human intervention.

[0064] "Missing information" refers to information that the system has determined to be necessary based on specific criteria, but has not yet acquired.

[0065] "Electronic communication" refers to the means of exchanging information between distant locations using technologies such as the internet and email.

[0066] The "online reservation function" is a system that allows users to make reservations via the internet, enabling them to specify the date, time, and details of their reservation.

[0067] "Presenting information in a visually organized manner" means structuring information in an easy-to-understand way and displaying it in a way that users can intuitively comprehend.

[0068] This invention is a system for efficiently collecting and utilizing childcare facility information. The system uses an information processing device and utilizes electronic communication technology to automatically collect information, make inquiries, and make reservations.

[0069] The server uses Python libraries such as Beautiful Soup and Scrapy to collect necessary information from the official websites of childcare facilities and related online resources on the internet. In doing so, the server parses the HTML structure of the web pages, extracts data such as addresses, contact information, opening hours, and capacity, and stores it in a MySQL® database.

[0070] Next, the server inspects the collected data and, if any information is missing, automatically generates an email to inquire with the facility. This process uses Python's smtplib library for communication. For example, if fee information is missing, an email is sent to the facility requesting that information.

[0071] Users enter their desired childcare facility and visit date through a dedicated application. The server then uses Selenium to access the online reservation system and automatically completes the visit reservation for the specified date and time. For example, if a user wishes to visit "C Nursery School C," the server will complete the reservation.

[0072] Furthermore, the server regularly checks municipal websites to keep the availability of childcare facilities up-to-date. This allows for immediate updates of information when a vacancy becomes available.

[0073] Ultimately, the device visually organizes and displays the collected information on a dashboard using the React framework. This allows users to easily compare multiple facilities and determine their features. As a concrete example, information on "Nursery School A," "Nursery School B," and "Nursery School C" is displayed in a list that allows for easy comparison at a glance.

[0074] As an example of a prompt message, based on the instruction, "Please make a reservation to visit E Nursery School next Thursday at 10:00 AM," the system will execute the corresponding reservation. In this way, parents can quickly obtain information about childcare facilities and proceed with their search efficiently.

[0075] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0076] Step 1:

[0077] The server uses an information processing device to receive a list of URLs for official websites and related resources of childcare facilities on the internet as input. Using Python's Beautiful Soup or Scrapy libraries, it extracts data such as location, contact information, opening hours, and capacity from the HTML structure of the web pages and processes the data by saving it to a MySQL database. This process is executed automatically at specified time intervals to reflect the latest information on childcare facilities in the database.

[0078] Step 2:

[0079] The server inspects the information collected from the database and detects any missing information. Specifically, it detects cases where information such as pricing or facility service details are missing. Using a list of missing information as input, it automatically generates and sends inquiry emails to facilities using Python's smtplib library. These emails include requests for the provision of the specific missing information. The results of each transmission are recorded in the database.

[0080] Step 3:

[0081] The user enters the name of the desired childcare facility and the desired date for the visit into a dedicated application. Based on this input, the server uses Python's Selenium to automatically operate the online reservation system. The server enters the date and time specified by the user into the reservation form and completes the reservation. Details of successful reservations are recorded as output in the database and notified to the user.

[0082] Step 4:

[0083] The server periodically crawls municipal websites and runs a script to check the latest availability of childcare facilities. This script uses web scraping techniques to extract availability information and updates the database. This allows users to be immediately notified of available spaces.

[0084] Step 5:

[0085] The terminal receives integrated information on all childcare facilities provided by the server as input, and visually organizes and displays it on a dashboard using the React framework. This output allows users to compare information on multiple childcare facilities at a glance and easily determine the characteristics of each facility. The information for each facility is output to the user in a customized display format.

[0086] (Application Example 1)

[0087] 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."

[0088] The traditional process of finding childcare facilities was inefficient, requiring numerous manual steps such as information gathering, scheduling visits, and checking availability. Furthermore, it was difficult for users to easily find facilities that met their needs. Additionally, access to information at home was limited, highlighting the need for a more streamlined decision-making process.

[0089] 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.

[0090] In this invention, the server includes means for automatically collecting information on childcare facilities, means for detecting missing information from the collected information and automatically making inquiries, and means for automatically making reservations for visits to childcare facilities based on conditions specified by the user. This makes it possible for users to easily find facilities and make quick decisions by acquiring childcare facility information in real time using home devices and inputting through voice recognition or a touch panel.

[0091] A "childcare facility" is a facility that provides childcare and education for preschool children.

[0092] "Means of automatically collecting information" refers to a device or system that has the function of patrolling online resources and programmatically acquiring the necessary data.

[0093] "Means for detecting missing information and automatically making inquiries" refers to a system that identifies gaps in collected data and has the function of automatically inquiring about additional information from business partners and related organizations.

[0094] "A means of automatically making reservations for visits to childcare facilities based on conditions specified by the user" refers to a device or system that takes the user's desired conditions as input and has the function of completing the reservation procedure online based on those conditions.

[0095] "Means of regularly checking availability and updating information" refers to a device or system that has an automated process for monitoring the availability of a facility at regular intervals and reflecting the results in a database.

[0096] "A means of suggesting suitable childcare facilities to users via home-use devices" means a device or system that takes user preferences and requirements as input via voice or touch operation and provides information on the most suitable childcare facilities based on that input.

[0097] "A means of checking the latest information and available dates for visits to childcare facilities via the internet and automatically making reservations" refers to a device or system that has the function of obtaining facility information via a network, checking the reservation status based on that information, and automatically completing the application and reservation.

[0098] To implement this invention, it is necessary to configure a system that efficiently collects, manages, and provides childcare facility information to users. This system is equipped with a series of functions to improve user convenience through various means.

[0099] First, the server automatically collects publicly available childcare facility data from the internet using web scraping technology. This includes algorithms that use programming languages ​​such as Python to extract location information, contact details, and details of services offered from the official websites and related sites of childcare facilities. Next, the server analyzes the collected database to detect any missing information. Then, it uses an automated email generation function to contact the facilities to inquire about any missing information.

[0100] Furthermore, users can input search criteria for childcare facilities and desired visit dates through a smart robot equipped with a home-use interface. This smart robot features a voice recognition system and a touch display, accurately recognizing the user's input and transmitting it to a server. Based on this information, the server accesses the facility's reservation system via the internet and automates the visit reservation process.

[0101] The server also periodically accesses public databases from municipalities and public institutions to check the latest availability of childcare facilities and update the database. The updated information is visually displayed in a dashboard format on home devices and mobile devices, allowing users to easily compare and consider facilities.

[0102] To further complement this system, we are utilizing generative AI models to develop prompts that allow users to quickly obtain the information they need. For example, by providing prompts such as, "Generate example conversations for a robot on how to provide information and support scheduling visits for parents looking for childcare facilities," we can generate natural user support dialogues.

[0103] This invention, structured in this way, will improve the efficiency of finding childcare facilities and enhance the user experience.

[0104] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0105] Step 1:

[0106] The server performs web scraping by visiting the official websites and related sites of childcare facilities on the internet. It uses a list of URLs containing facility information as input. A scraping program, such as one using Python, then runs to extract and save important data such as facility name, address, contact information, and childcare hours. As output, this data is organized and stored in a database.

[0107] Step 2:

[0108] The server scans the stored database and performs a procedure to detect missing information. The input is the childcare facility data collected in the previous step. If a specific field is blank or does not meet the criteria, the program identifies that information as missing. The server then automatically creates an email and sends a query to the specified childcare facility for the missing information. The output is a notification that the query information has been successfully sent.

[0109] Step 3:

[0110] Users specify their requirements for childcare facilities via home devices, such as smart robots. They input information such as facility type, location, and desired visit dates using voice recognition or a touch display. The device digitizes the recognized information and uses it as input data to send to the server. The output is a list of childcare facilities based on the user's preferences.

[0111] Step 4:

[0112] The server accesses the online tour reservation system based on user-specified conditions and automatically makes reservations. The system uses the user's preferred date, time, and facility information as input. Based on this information, the system checks available schedules and automatically completes the reservation. The output provides the user with confirmation of the successful reservation and detailed feedback.

[0113] Step 5:

[0114] The server periodically checks public databases of local governments and public institutions to obtain the latest availability information for childcare facilities. Inputs include existing facility data and new information regarding availability. The system updates the database, immediately reflecting any changes in availability information. Output is an interface updated with the latest availability information.

[0115] Step 6:

[0116] The terminal integrates and displays updated information on dashboards for home devices and mobile devices. Inputs include the latest childcare facility information and user criteria. This allows the terminal to create an interface that allows for quick comparison of multiple facilities, presenting the user with a visually organized list as output. Users can then compare the features of the facilities and make informed decisions.

[0117] 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.

[0118] This invention provides users with a more personalized experience by incorporating an emotion engine that recognizes the user's emotions into a system that assists in finding childcare facilities. This system analyzes the user's emotions in real time and adjusts the way childcare facility information is presented and suggests visit plans based on that information.

[0119] Information gathering and organization

[0120] The server continues to collect data from the official websites and related online resources of childcare facilities, as before. It extracts information such as location, contact details, and opening hours, and stores them in a database, just as before. In addition, the sentiment engine prepares to receive user interaction data for analysis.

[0121] Utilizing the Emotion Engine

[0122] The device is equipped with an emotion engine that detects emotions from the user's voice, facial expressions, and text input. While the user is browsing childcare facility information, this engine analyzes the emotion data in real time to understand the user's current emotional state. For example, if the emotion of joy is detected while the user is viewing information about a particular facility, the emotion engine records it in the database.

[0123] Proposal and coordination

[0124] The server recommends childcare facilities that are more suitable for the user based on feedback from the emotion engine. For example, if a user's emotion is positive when viewing information about a particular facility, that facility will be added to the recommendation list with priority. It can also flexibly adjust the order and content of the information displayed according to the user's current emotional state.

[0125] Proposed tour plan

[0126] Based on information from the emotion engine, the device can suggest a tour plan that focuses on the user's emotions and interests. For example, it can provide a tour schedule centered around facilities that the user found enjoyable and pleasurable, and arrange the facilities in an order that is likely to interest the user, thereby providing a less stressful experience.

[0127] Thus, the present invention aims to significantly improve the efficiency and satisfaction of choosing a childcare facility by incorporating the user's emotional elements into the process of searching for a childcare facility, thereby providing information and experiences tailored to individual user needs.

[0128] The following describes the processing flow.

[0129] Step 1:

[0130] The server crawls the official websites of childcare facilities and uses scraping technology to automatically collect basic information such as location, contact information, opening hours, and capacity, and stores it in a database.

[0131] Step 2:

[0132] The terminal provides a user interface, creating an environment where users can access, browse, and search for childcare facility information. During this process, the terminal is equipped with an emotion engine that monitors the user's tone of voice and facial expressions in real time.

[0133] Step 3:

[0134] The emotion engine analyzes the user's emotional state and identifies positive or negative responses. This information is fed back to the server and used to present information that is relevant to the user's current situation.

[0135] Step 4:

[0136] The server adjusts the order and content of childcare facility information based on feedback from the emotion engine. For example, if a user shows interest in a particular facility, information related to that facility will be displayed preferentially.

[0137] Step 5:

[0138] If a user wishes to visit a childcare facility they are interested in, they enter their preferred date and time for the visit via their device.

[0139] Step 6:

[0140] The server accesses the childcare facility's online reservation system and automatically completes the visit reservation based on the conditions entered by the user.

[0141] Step 7:

[0142] The device uses data from an emotion engine to suggest a visit schedule to the user that is based on emotionally positive childcare facilities. For example, it plans and recommends visits centered around facilities that the user has shown particular interest in.

[0143] (Example 2)

[0144] 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".

[0145] Conventional childcare facility information systems provide information without considering the user's emotional state, making it difficult for users to choose a facility that meets their potential needs and preferences. Furthermore, they lack personalized information provision and suggested visit plans that incorporate emotional data. Therefore, there is a need to improve the efficiency and satisfaction of choosing a childcare facility.

[0146] 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.

[0147] In this invention, the server includes means for automatically collecting information on childcare facilities and storing it in a storage means, means for detecting the user's emotions from voice, facial expressions, and text input, and means for recommending facilities based on the analyzed emotion data. This enables personalized selection of childcare facilities based on the user's emotions.

[0148] A "childcare facility" is a facility that takes in infants and preschool children and provides them with childcare and education.

[0149] "Methods for automatically collecting information" refer to technologies that use specific algorithms or programs to obtain necessary data from websites and digital resources without human intervention.

[0150] A "storage system" refers to a storage or database mechanism that holds collected data and allows it to be retrieved when needed.

[0151] "Means of detecting emotions" refer to devices and systems that determine a user's emotions and psychological state from information such as voice, facial expressions, and text input.

[0152] "Means of analysis and recording" refers to technologies that process detected data, save the results, and prepare them for later analysis and use.

[0153] "Methods for recommending facilities" refer to methods for selecting and presenting childcare facilities that are suitable for the user, using the results of the analysis.

[0154] "Means for adjusting the display order of information" refers to technologies that change the order and arrangement of information displayed on the screen according to the user's emotions and preferences.

[0155] "A means of proposing a tour plan" refers to a system that creates an optimal schedule for visiting childcare facilities based on the user's interests and feelings.

[0156] This invention is a system designed to support users in choosing childcare facilities while taking their emotions into consideration. The system is primarily implemented using a server, terminals, and user interaction.

[0157] The server utilizes a Python web scraping tool to automatically collect information from the official websites and related resources of childcare facilities. The collected data is stored in a MySQL database, allowing users to access the most up-to-date information. This database contains important information such as the facility's location, contact information, and opening hours.

[0158] The device is equipped with an emotion engine that detects emotions from the user's voice, facial expressions, and text input. This engine uses Microsoft® Azure® emotion analysis APIs to analyze the user's emotional state in real time. As a result, the emotions the user feels while viewing information are collected as data and sent to the server.

[0159] Users can view information about childcare facilities through their devices and find facilities that suit their preferences. For example, if a user feels pleased after viewing information about a particular childcare facility, that emotional information is sent to the server and used for future recommendations.

[0160] The system recommends suitable facilities to the user based on important information. Specifically, the server utilizes a machine learning model based on TENSORFLOW® to analyze the user's emotional data and present recommended facilities. It can also adaptively adjust the order of information displayed based on the user's current emotions.

[0161] As a concrete example, a visit plan is suggested on the device that prioritizes visits to other similar childcare facilities based on the childcare facility the user found "enjoyable." An example of a prompt message when using a generative AI model might be, "Detect what kind of emotions the user has towards the facility they are viewing, and prioritize suggesting facilities that elicited positive emotions."

[0162] Thus, the present invention incorporates user emotional data into the process of searching for childcare facilities, enabling more personalized information provision and experiences.

[0163] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0164] Step 1:

[0165] The server collects information on childcare facilities. It obtains URLs of the facility's official website and related resources as input. Specifically, it uses a Python web scraping tool to extract information such as location, contact details, and opening hours from these pages. The resulting information is stored in a structured format in a MySQL database. This ensures that the information provided to users is always up-to-date.

[0166] Step 2:

[0167] The device collects user emotion data. Inputs include the user's voice, facial expressions, and text input, all acquired in real time. This data is analyzed through an emotion engine built into the device. Specifically, it uses the Microsoft Azure emotion analysis API to classify emotional states into categories such as "joyful" and "interesting." The output is the analyzed emotion data, which is sent to a server for subsequent recommendation processing.

[0168] Step 3:

[0169] The server performs information recommendations using sentiment data. It receives user sentiment data sent from the terminal and childcare facility information already stored in the database as input. A machine learning model using TensorFlow is applied here, taking into account the user's sentiment patterns and the characteristics of the facilities to select the most suitable facility. The output is a list of recommended childcare facilities, sent to the terminal in order of priority.

[0170] Step 4:

[0171] The terminal proposes a tour plan to the user. The inputs used are a list of recommended facilities sent from the server and the user's sentiment data. Based on this information, the terminal generates a tour schedule, prioritizing facilities that the user is most likely to be interested in. Specifically, it provides an editable plan through the user interface, allowing the user to adjust it according to their preferences and schedule. The output is an optimized tour plan, improving user convenience and satisfaction.

[0172] (Application Example 2)

[0173] 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".

[0174] In recent years, there has been a growing demand for information that accurately reflects the individual needs of users when searching for childcare facilities. However, traditional systems have difficulty providing personalized information based on users' emotions and interests, which is one of the factors that reduces the efficiency and satisfaction of choosing a childcare facility. Specifically, there is a lack of flexible information suggestions and tour plans that respond to users' emotions, making it difficult for users to make the best choice.

[0175] 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.

[0176] In this invention, the server includes means for automatically organizing data on childcare facilities, means for recognizing the user's emotions and adjusting the method of presenting childcare facility information based on the analysis results, and means for proposing a tour plan that focuses on the user's emotions and interests. This enables personalized information provision that responds to the user's emotions and streamlines the selection of the optimal facility and the creation of a tour plan.

[0177] A "device for automatically organizing data from childcare facilities" is a device that collects information about childcare facilities and processes and classifies that data according to specific criteria.

[0178] A "device that recognizes user emotions and adjusts the presentation method of childcare facility information based on the analysis results" is a device that detects emotions from the user's voice, facial expressions, or text, and changes the presentation method of information according to those emotions.

[0179] "A method for proposing a tour plan that focuses on the user's emotions and interests" refers to a method that organizes a tour schedule of childcare facilities based on the emotions and interests expressed by the user, and proposes it in a way that is most suitable for the user.

[0180] The system that realizes this application example is centered around application software installed on devices such as smartphones and smart glasses. The server automatically organizes data from childcare facilities and receives and processes emotional data transmitted from users' devices in real time. The emotion analysis engine used here combines powerful software for speech recognition and facial recognition; for example, EmotionEngine can be used.

[0181] The terminal is equipped with a device that analyzes the user's emotions through voice, facial expressions, and text input. This emotional data is sent to a server where data calculations are performed according to the terms and conditions. Advanced algorithms are used in the data calculations to identify childcare facility information that the user has shown interest in and to individually adjust how it is displayed.

[0182] For example, when a family is searching for a childcare facility, EmotionEngine detects the child's beaming smile, determines that the displayed facility is appealing, adds it to the server's recommendation list, and enhances the display. As a result, users are constantly presented with interesting facility information in a dynamic way, making it easier to plan visits.

[0183] As a concrete example, suppose a user is using their smartphone to select childcare facilities to visit on the weekend. In this system, suggestions for facilities that the user has expressed positive feelings about are provided, and information that is likely to pique their interest is displayed preferentially. Through a prompt such as "What kind of facility would your child enjoy?", the AI ​​model can generate even more refined suggestions.

[0184] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0185] Step 1:

[0186] The device receives user voice, facial expressions, or text input. EmotionEngine uses this input data to analyze emotions. Specifically, it analyzes voice waveforms and facial imagery to determine emotional states such as joy, surprise, and sadness. The output of this process is a tag for the determined emotion.

[0187] Step 2:

[0188] The server receives emotion tags sent from the terminal. Based on these emotion tags, an algorithm within the server optimizes facility information to reflect the user's emotional state. Facility information matching the emotion tags is extracted and organized from the facility database, and a recommendation list is generated. This list is then output.

[0189] Step 3:

[0190] The server sends the generated recommendation list to the user's terminal and instructs it to individually adjust the display order and content. The input here is the recommendation list generated in the previous step, and the output is the specific display command for that list. The server uses data visualization techniques to prioritize displaying the information most relevant to the user.

[0191] Step 4:

[0192] The user views the adjusted childcare facility information displayed on the device and selects the facilities that interest them. At this point, the device sends the user's selection information back to the server as feedback. The server receives the user's selection input and uses it to perform further sentiment analysis and accumulate data.

[0193] Step 5:

[0194] The server will use the above feedback to inform future suggestions and tour plans. This data will be saved as a user profile and used to improve the accuracy of recommendations in the future. The output will be recommendations for the next visit based on the predicted user experience.

[0195] 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.

[0196] 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 those described above. 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 shown 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.

[0197] 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.

[0198] [Second Embodiment]

[0199] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0200] 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.

[0201] 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).

[0202] 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.

[0203] 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.

[0204] 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).

[0205] 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.

[0206] 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.

[0207] 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.

[0208] 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.

[0209] 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.

[0210] 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".

[0211] This invention is a system for streamlining the search for childcare facilities and consists of multiple modules. This system automatically collects information on childcare facilities, enables inquiries about missing information, automates scheduling visits, manages availability, and provides an integrated display of information. Specific embodiments are described below.

[0212] Information gathering

[0213] The server crawls online resources, including the official websites and related information of childcare facilities, and uses web scraping techniques to collect necessary data. For example, the server extracts basic information such as the location, contact information, opening hours, and capacity of "Nursery School A" and stores it in a database.

[0214] Automated query for missing information

[0215] The server detects missing information in the collected data based on specific criteria. This missing information is then supplemented by automatically generating and sending emails to childcare facilities. For example, if the server finds that fee information is missing for "Nursery School B," it will automatically send an email inquiring about this information.

[0216] Automation of tour reservations

[0217] Users can input their desired childcare facility and visit date through a dedicated application. The server then accesses the facility's online reservation system and automatically completes the reservation. For example, if a user requests a visit to "C Nursery School C," the server will make a reservation for the specified date.

[0218] Availability management

[0219] The server periodically checks municipal websites and updates the database with the latest availability information for childcare facilities. This information is later notified to users. For example, if the server checks the latest availability and finds that a vacancy has opened up at "D Nursery School," the information is updated immediately.

[0220] Integrated Information Display

[0221] The device visually organizes all collected information and provides a dashboard that users can easily view. This feature makes it easier for users to compare information on many facilities at a glance and choose the facility they want. For example, the device can display information on "Nursery School A," "Nursery School B," and "Nursery School C" in a list, allowing users to compare the features of each facility.

[0222] Thus, the present invention provides a system that significantly reduces the effort parents have to put into finding childcare facilities, enabling them to find the most suitable facility efficiently and quickly.

[0223] The following describes the processing flow.

[0224] Step 1:

[0225] The server crawls the official websites of childcare facilities and automatically collects necessary data using web scraping technology. This process extracts information such as location, contact information, opening hours, and capacity, and stores it in a database.

[0226] Step 2:

[0227] The server analyzes the collected information and detects any missing information. If missing information is detected, it automatically contacts childcare facilities via email or web form. This process ensures that the database information is as complete as possible.

[0228] Step 3:

[0229] Users enter the desired childcare facility and date / time through a dedicated application. Based on the user's input, the server accesses the childcare facility's online reservation system and automatically completes the reservation for the desired visit date.

[0230] Step 4:

[0231] The server periodically visits the official websites of municipalities to retrieve the latest availability information. The retrieved information is reflected in the database, and the data is updated as needed when new availability information is confirmed.

[0232] Step 5:

[0233] The device visually presents the collected and organized information to the user. Through this information, the user can compare multiple childcare facilities and view details of the selected facility.

[0234] (Example 1)

[0235] 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."

[0236] When parents search for childcare facilities, they face the challenge of finding a suitable facility efficiently and quickly due to the cumbersome process of gathering information, making reservations, and checking availability. In particular, collecting information scattered across the internet, inquiring about missing information, and making online reservations are time-consuming and burdensome, so there is a need for ways to automate and streamline these processes.

[0237] 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.

[0238] In this invention, the server includes means for automatically collecting information on childcare facilities using an information processing device, means for detecting missing information from the collected information and automatically making inquiries via electronic communication, and means for automatically completing a reservation for a visit to a childcare facility through an online reservation function based on conditions specified by the user. This makes it possible for parents to efficiently obtain information on childcare facilities and quickly find the most suitable facility.

[0239] An "information processing device" is a device that uses a computer or related technology to collect, process, store, and manage data.

[0240] "Automatic data collection" means that a program mechanically collects information from start to finish without human intervention.

[0241] "Missing information" refers to information that the system has determined to be necessary based on specific criteria, but has not yet acquired.

[0242] "Electronic communication" refers to the means of exchanging information between distant locations using technologies such as the internet and email.

[0243] The "online reservation function" is a system that allows users to make reservations via the internet, enabling them to specify the date, time, and details of their reservation.

[0244] "Presenting information in a visually organized manner" means structuring information in an easy-to-understand way and displaying it in a way that users can intuitively comprehend.

[0245] This invention is a system for efficiently collecting and utilizing childcare facility information. The system uses an information processing device and utilizes electronic communication technology to automatically collect information, make inquiries, and make reservations.

[0246] The server uses Python libraries such as Beautiful Soup and Scrapy to collect necessary information from the official websites of childcare facilities and related online resources on the internet. In doing so, the server parses the HTML structure of the web pages, extracts data such as addresses, contact information, opening hours, and capacity, and stores it in a MySQL database.

[0247] Next, the server inspects the collected data and, if any information is missing, automatically generates an email to inquire with the facility. This process uses Python's smtplib library for communication. For example, if fee information is missing, an email is sent to the facility requesting that information.

[0248] Users enter their desired childcare facility and visit date through a dedicated application. The server then uses Selenium to access the online reservation system and automatically completes the visit reservation for the specified date and time. For example, if a user wishes to visit "C Nursery School C," the server will complete the reservation.

[0249] Furthermore, the server regularly checks municipal websites to keep the availability of childcare facilities up-to-date. This allows for immediate updates of information when a vacancy becomes available.

[0250] Ultimately, the device visually organizes and displays the collected information on a dashboard using the React framework. This allows users to easily compare multiple facilities and determine their features. As a concrete example, information on "Nursery School A," "Nursery School B," and "Nursery School C" is displayed in a list that allows for easy comparison at a glance.

[0251] As an example of a prompt message, based on the instruction, "Please make a reservation to visit E Nursery School next Thursday at 10:00 AM," the system will execute the corresponding reservation. In this way, parents can quickly obtain information about childcare facilities and proceed with their search efficiently.

[0252] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0253] Step 1:

[0254] The server uses an information processing device to receive a list of URLs for official websites and related resources of childcare facilities on the internet as input. Using Python's Beautiful Soup or Scrapy libraries, it extracts data such as location, contact information, opening hours, and capacity from the HTML structure of the web pages and processes the data by saving it to a MySQL database. This process is executed automatically at specified time intervals to reflect the latest information on childcare facilities in the database.

[0255] Step 2:

[0256] The server inspects the information collected from the database and detects any missing information. Specifically, it detects cases where information such as pricing or facility service details are missing. Using a list of missing information as input, it automatically generates and sends inquiry emails to facilities using Python's smtplib library. These emails include requests for the provision of the specific missing information. The results of each transmission are recorded in the database.

[0257] Step 3:

[0258] The user enters the name of the desired childcare facility and the desired date for the visit into a dedicated application. Based on this input, the server uses Python's Selenium to automatically operate the online reservation system. The server enters the date and time specified by the user into the reservation form and completes the reservation. Details of successful reservations are recorded as output in the database and notified to the user.

[0259] Step 4:

[0260] The server periodically crawls municipal websites and runs a script to check the latest availability of childcare facilities. This script uses web scraping techniques to extract availability information and updates the database. This allows users to be immediately notified of available spaces.

[0261] Step 5:

[0262] The terminal receives integrated information on all childcare facilities provided by the server as input, and visually organizes and displays it on a dashboard using the React framework. This output allows users to compare information on multiple childcare facilities at a glance and easily determine the characteristics of each facility. The information for each facility is output to the user in a customized display format.

[0263] (Application Example 1)

[0264] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0265] The traditional process of finding childcare facilities was inefficient, requiring numerous manual steps such as information gathering, scheduling visits, and checking availability. Furthermore, it was difficult for users to easily find facilities that met their needs. Additionally, access to information at home was limited, highlighting the need for a more streamlined decision-making process.

[0266] 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.

[0267] In this invention, the server includes means for automatically collecting information on childcare facilities, means for detecting missing information from the collected information and automatically making inquiries, and means for automatically making reservations for visits to childcare facilities based on conditions specified by the user. This makes it possible for users to easily find facilities and make quick decisions by acquiring childcare facility information in real time using home devices and inputting through voice recognition or a touch panel.

[0268] A "childcare facility" is a facility that provides childcare and education for preschool children.

[0269] "Means of automatically collecting information" refers to a device or system that has the function of patrolling online resources and programmatically acquiring the necessary data.

[0270] "Means for detecting missing information and automatically making inquiries" refers to a system that identifies gaps in collected data and has the function of automatically inquiring about additional information from business partners and related organizations.

[0271] "A means of automatically making reservations for visits to childcare facilities based on conditions specified by the user" refers to a device or system that takes the user's desired conditions as input and has the function of completing the reservation procedure online based on those conditions.

[0272] "Means of regularly checking availability and updating information" refers to a device or system that has an automated process for monitoring the availability of a facility at regular intervals and reflecting the results in a database.

[0273] "A means of suggesting suitable childcare facilities to users via home-use devices" means a device or system that takes user preferences and requirements as input via voice or touch operation and provides information on the most suitable childcare facilities based on that input.

[0274] "A means of checking the latest information and available dates for visits to childcare facilities via the internet and automatically making reservations" refers to a device or system that has the function of obtaining facility information via a network, checking the reservation status based on that information, and automatically completing the application and reservation.

[0275] To implement this invention, it is necessary to configure a system that efficiently collects, manages, and provides childcare facility information to users. This system is equipped with a series of functions to improve user convenience through various means.

[0276] First, the server automatically collects publicly available childcare facility data from the internet using web scraping technology. This includes algorithms that use programming languages ​​such as Python to extract location information, contact details, and details of services offered from the official websites and related sites of childcare facilities. Next, the server analyzes the collected database to detect any missing information. Then, it uses an automated email generation function to contact the facilities to inquire about any missing information.

[0277] Furthermore, users can input search criteria for childcare facilities and desired visit dates through a smart robot equipped with a home-use interface. This smart robot features a voice recognition system and a touch display, accurately recognizing the user's input and transmitting it to a server. Based on this information, the server accesses the facility's reservation system via the internet and automates the visit reservation process.

[0278] The server also periodically accesses public databases from municipalities and public institutions to check the latest availability of childcare facilities and update the database. The updated information is visually displayed in a dashboard format on home devices and mobile devices, allowing users to easily compare and consider facilities.

[0279] To further complement this system, we are utilizing generative AI models to develop prompts that allow users to quickly obtain the information they need. For example, by providing prompts such as, "Generate example conversations for a robot on how to provide information and support scheduling visits for parents looking for childcare facilities," we can generate natural user support dialogues.

[0280] This invention, structured in this way, will improve the efficiency of finding childcare facilities and enhance the user experience.

[0281] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0282] Step 1:

[0283] The server crawls the official websites and related websites of childcare facilities on the Internet, using a list of URLs that publish facility information as input. Here, a scraping program using Python or the like operates to extract and save important data such as the facility name, address, contact information, and childcare hours. As output, this data is organized and saved in a database.

[0284] Step 2:

[0285] The server scans the saved database and performs a procedure to detect missing information. The input is the data of childcare facilities collected in the previous step. If a specific field is blank or does not meet the criteria, the program identifies that the information is missing. Next, the server creates an automatic email and sends an inquiry about the missing information to the specified childcare facility. The output is a notification that the inquiry information has been properly sent.

[0286] Step 3:

[0287] The user specifies the conditions of the childcare facility via a household device, such as a smart robot. At this time, inputs such as the type of facility, location, and desired visit date are made using voice recognition or a touch display. The terminal converts the recognized information into data and uses it as input data to send to the server. As output, a list of childcare facilities based on the user's desired conditions is generated.

[0288] Step 4:

[0289] The server accesses an online visit reservation system based on the conditions specified by the user and automatically makes a reservation. As input, the user's desired date and time, and facility information are used. The system checks the available schedule based on these and automatically completes the reservation. The output is that confirmation information and details of the successful reservation are fed back to the user.

[0290] Step 5:

[0291] The server periodically checks public databases of local governments and public institutions to obtain the latest availability information for childcare facilities. Inputs include existing facility data and new information regarding availability. The system updates the database, immediately reflecting any changes in availability information. Output is an interface updated with the latest availability information.

[0292] Step 6:

[0293] The terminal integrates and displays updated information on dashboards for home devices and mobile devices. Inputs include the latest childcare facility information and user criteria. This allows the terminal to create an interface that allows for quick comparison of multiple facilities, presenting the user with a visually organized list as output. Users can then compare the features of the facilities and make informed decisions.

[0294] 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.

[0295] This invention provides users with a more personalized experience by incorporating an emotion engine that recognizes the user's emotions into a system that assists in finding childcare facilities. This system analyzes the user's emotions in real time and adjusts the way childcare facility information is presented and suggests visit plans based on that information.

[0296] Information gathering and organization

[0297] The server continues to collect data from the official websites and related online resources of childcare facilities, as before. It extracts information such as location, contact details, and opening hours, and stores them in a database, just as before. In addition, the sentiment engine prepares to receive user interaction data for analysis.

[0298] Utilizing the Emotion Engine

[0299] The device is equipped with an emotion engine that detects emotions from the user's voice, facial expressions, and text input. While the user is browsing childcare facility information, this engine analyzes the emotion data in real time to understand the user's current emotional state. For example, if the emotion of joy is detected while the user is viewing information about a particular facility, the emotion engine records it in the database.

[0300] Proposal and coordination

[0301] The server recommends childcare facilities that are more suitable for the user based on feedback from the emotion engine. For example, if a user's emotion is positive when viewing information about a particular facility, that facility will be added to the recommendation list with priority. It can also flexibly adjust the order and content of the information displayed according to the user's current emotional state.

[0302] Proposed tour plan

[0303] Based on information from the emotion engine, the device can suggest a tour plan that focuses on the user's emotions and interests. For example, it can provide a tour schedule centered around facilities that the user found enjoyable and pleasurable, and arrange the facilities in an order that is likely to interest the user, thereby providing a less stressful experience.

[0304] Thus, the present invention aims to significantly improve the efficiency and satisfaction of choosing a childcare facility by incorporating the user's emotional elements into the process of searching for a childcare facility, thereby providing information and experiences tailored to individual user needs.

[0305] The following describes the processing flow.

[0306] Step 1:

[0307] The server visits the official website of the childcare facility, automatically collects basic information such as location, contact information, opening hours, and capacity using scraping technology, and saves it in the database.

[0308] Step 2:

[0309] The terminal provides a user interface to create an environment for the user to access childcare facility information for viewing and searching. At this time, the terminal is equipped with an emotion engine to monitor the user's voice tone and expression in real time.

[0310] Step 3:

[0311] The emotion engine analyzes the user's emotional state and identifies positive or negative reactions. This information is fed back to the server and used to present information according to the user's current situation.

[0312] Step 4:

[0313] Based on the feedback from the emotion engine, the server adjusts the presentation order and content of the childcare facility information. For example, if the user shows interest in a specific facility, information related to that facility is preferentially displayed.

[0314] Step 5:

[0315] If the user wishes to visit a childcare facility they are interested in, they enter the desired date and time for the visit through the terminal.

[0316] Step 6:

[0317] The server accesses the online reservation system of the childcare facility and automatically completes the visit reservation based on the conditions entered by the user.

[0318] Step 7:

[0319] The device uses data from an emotion engine to suggest a visit schedule to the user that is based on emotionally positive childcare facilities. For example, it plans and recommends visits centered around facilities that the user has shown particular interest in.

[0320] (Example 2)

[0321] 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".

[0322] Conventional childcare facility information systems provide information without considering the user's emotional state, making it difficult for users to choose a facility that meets their potential needs and preferences. Furthermore, they lack personalized information provision and suggested visit plans that incorporate emotional data. Therefore, there is a need to improve the efficiency and satisfaction of choosing a childcare facility.

[0323] 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.

[0324] In this invention, the server includes means for automatically collecting information on childcare facilities and storing it in a storage means, means for detecting the user's emotions from voice, facial expressions, and text input, and means for recommending facilities based on the analyzed emotion data. This enables personalized selection of childcare facilities based on the user's emotions.

[0325] A "childcare facility" is a facility that takes in infants and preschool children and provides them with childcare and education.

[0326] "Methods for automatically collecting information" refer to technologies that use specific algorithms or programs to obtain necessary data from websites and digital resources without human intervention.

[0327] A "storage system" refers to a storage or database mechanism that holds collected data and allows it to be retrieved when needed.

[0328] "Means of detecting emotions" refer to devices and systems that determine a user's emotions and psychological state from information such as voice, facial expressions, and text input.

[0329] "Means of analysis and recording" refers to technologies that process detected data, save the results, and prepare them for later analysis and use.

[0330] "Methods for recommending facilities" refer to methods for selecting and presenting childcare facilities that are suitable for the user, using the results of the analysis.

[0331] "Means for adjusting the display order of information" refers to technologies that change the order and arrangement of information displayed on the screen according to the user's emotions and preferences.

[0332] "A means of proposing a tour plan" refers to a system that creates an optimal schedule for visiting childcare facilities based on the user's interests and feelings.

[0333] This invention is a system designed to support users in choosing childcare facilities while taking their emotions into consideration. The system is primarily implemented using a server, terminals, and user interaction.

[0334] The server utilizes a Python web scraping tool to automatically collect information from the official websites and related resources of childcare facilities. The collected data is stored in a MySQL database, allowing users to access the most up-to-date information. This database contains important information such as the facility's location, contact information, and opening hours.

[0335] The device is equipped with an emotion engine that detects emotions from the user's voice, facial expressions, and text input. This engine uses Microsoft Azure's emotion analysis API to analyze the user's emotional state in real time. As a result, the emotions the user feels while viewing information are collected as data and sent to the server.

[0336] Users can view information about childcare facilities through their devices and find facilities that suit their preferences. For example, if a user feels pleased after viewing information about a particular childcare facility, that emotional information is sent to the server and used for future recommendations.

[0337] The system recommends suitable facilities to the user based on important information. Specifically, the server utilizes machine learning models based on TensorFlow to analyze the user's sentiment data and present recommended facilities. It can also adaptively adjust the order of information displayed based on the user's current sentiment.

[0338] As a concrete example, a visit plan is suggested on the device that prioritizes visits to other similar childcare facilities based on the childcare facility the user found "enjoyable." An example of a prompt message when using a generative AI model might be, "Detect what kind of emotions the user has towards the facility they are viewing, and prioritize suggesting facilities that elicited positive emotions."

[0339] Thus, the present invention incorporates user emotional data into the process of searching for childcare facilities, enabling more personalized information provision and experiences.

[0340] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0341] Step 1:

[0342] The server collects information on childcare facilities. It obtains URLs of the facility's official website and related resources as input. Specifically, it uses a Python web scraping tool to extract information such as location, contact details, and opening hours from these pages. The resulting information is stored in a structured format in a MySQL database. This ensures that the information provided to users is always up-to-date.

[0343] Step 2:

[0344] The device collects user emotion data. Inputs include the user's voice, facial expressions, and text input, all acquired in real time. This data is analyzed through an emotion engine built into the device. Specifically, it uses the Microsoft Azure emotion analysis API to classify emotional states into categories such as "joyful" and "interesting." The output is the analyzed emotion data, which is sent to a server for subsequent recommendation processing.

[0345] Step 3:

[0346] The server performs information recommendations using sentiment data. It receives user sentiment data sent from the terminal and childcare facility information already stored in the database as input. A machine learning model using TensorFlow is applied here, taking into account the user's sentiment patterns and the characteristics of the facilities to select the most suitable facility. The output is a list of recommended childcare facilities, sent to the terminal in order of priority.

[0347] Step 4:

[0348] The terminal proposes a tour plan to the user. The inputs used are a list of recommended facilities sent from the server and the user's sentiment data. Based on this information, the terminal generates a tour schedule, prioritizing facilities that the user is most likely to be interested in. Specifically, it provides an editable plan through the user interface, allowing the user to adjust it according to their preferences and schedule. The output is an optimized tour plan, improving user convenience and satisfaction.

[0349] (Application Example 2)

[0350] 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."

[0351] In recent years, there has been a growing demand for information that accurately reflects the individual needs of users when searching for childcare facilities. However, traditional systems have difficulty providing personalized information based on users' emotions and interests, which is one of the factors that reduces the efficiency and satisfaction of choosing a childcare facility. Specifically, there is a lack of flexible information suggestions and tour plans that respond to users' emotions, making it difficult for users to make the best choice.

[0352] 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.

[0353] In this invention, the server includes means for automatically organizing data on childcare facilities, means for recognizing the user's emotions and adjusting the method of presenting childcare facility information based on the analysis results, and means for proposing a tour plan that focuses on the user's emotions and interests. This enables personalized information provision that responds to the user's emotions and streamlines the selection of the optimal facility and the creation of a tour plan.

[0354] A "device for automatically organizing data from childcare facilities" is a device that collects information about childcare facilities and processes and classifies that data according to specific criteria.

[0355] A "device that recognizes user emotions and adjusts the presentation method of childcare facility information based on the analysis results" is a device that detects emotions from the user's voice, facial expressions, or text, and changes the presentation method of information according to those emotions.

[0356] "A method for proposing a tour plan that focuses on the user's emotions and interests" refers to a method that organizes a tour schedule of childcare facilities based on the emotions and interests expressed by the user, and proposes it in a way that is most suitable for the user.

[0357] The system that realizes this application example is centered around application software installed on devices such as smartphones and smart glasses. The server automatically organizes data from childcare facilities and receives and processes emotional data transmitted from users' devices in real time. The emotion analysis engine used here combines powerful software for speech recognition and facial recognition; for example, EmotionEngine can be used.

[0358] The terminal is equipped with a device that analyzes the user's emotions through voice, facial expressions, and text input. This emotional data is sent to a server where data calculations are performed according to the terms and conditions. Advanced algorithms are used in the data calculations to identify childcare facility information that the user has shown interest in and to individually adjust how it is displayed.

[0359] For example, when a family is searching for a childcare facility, EmotionEngine detects the child's beaming smile, determines that the displayed facility is appealing, adds it to the server's recommendation list, and enhances the display. As a result, users are constantly presented with interesting facility information in a dynamic way, making it easier to plan visits.

[0360] As a concrete example, suppose a user is using their smartphone to select childcare facilities to visit on the weekend. In this system, suggestions for facilities that the user has expressed positive feelings about are provided, and information that is likely to pique their interest is displayed preferentially. Through a prompt such as "What kind of facility would your child enjoy?", the AI ​​model can generate even more refined suggestions.

[0361] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0362] Step 1:

[0363] The device receives user voice, facial expressions, or text input. EmotionEngine uses this input data to analyze emotions. Specifically, it analyzes voice waveforms and facial imagery to determine emotional states such as joy, surprise, and sadness. The output of this process is a tag for the determined emotion.

[0364] Step 2:

[0365] The server receives emotion tags sent from the terminal. Based on these emotion tags, an algorithm within the server optimizes facility information to reflect the user's emotional state. Facility information matching the emotion tags is extracted and organized from the facility database, and a recommendation list is generated. This list is then output.

[0366] Step 3:

[0367] The server sends the generated recommendation list to the user's terminal and instructs it to individually adjust the display order and content. The input here is the recommendation list generated in the previous step, and the output is the specific display command for that list. The server uses data visualization techniques to prioritize displaying the information most relevant to the user.

[0368] Step 4:

[0369] The user views the adjusted childcare facility information displayed on the device and selects the facilities that interest them. At this point, the device sends the user's selection information back to the server as feedback. The server receives the user's selection input and uses it to perform further sentiment analysis and accumulate data.

[0370] Step 5:

[0371] The server will use the above feedback to inform future suggestions and tour plans. This data will be saved as a user profile and used to improve the accuracy of recommendations in the future. The output will be recommendations for the next visit based on the predicted user experience.

[0372] 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.

[0373] 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 those described above. 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 shown 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.

[0374] 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.

[0375] [Third Embodiment]

[0376] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0377] 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.

[0378] 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).

[0379] 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.

[0380] 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.

[0381] 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).

[0382] 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.

[0383] 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.

[0384] 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.

[0385] 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.

[0386] 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.

[0387] 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".

[0388] This invention is a system for streamlining the search for childcare facilities and consists of multiple modules. This system automatically collects information on childcare facilities, enables inquiries about missing information, automates scheduling visits, manages availability, and provides an integrated display of information. Specific embodiments are described below.

[0389] Information gathering

[0390] The server crawls online resources, including the official websites and related information of childcare facilities, and uses web scraping techniques to collect necessary data. For example, the server extracts basic information such as the location, contact information, opening hours, and capacity of "Nursery School A" and stores it in a database.

[0391] Automated query for missing information

[0392] The server detects missing information in the collected data based on specific criteria. This missing information is then supplemented by automatically generating and sending emails to childcare facilities. For example, if the server finds that fee information is missing for "Nursery School B," it will automatically send an email inquiring about this information.

[0393] Automation of tour reservations

[0394] Users can input their desired childcare facility and visit date through a dedicated application. The server then accesses the facility's online reservation system and automatically completes the reservation. For example, if a user requests a visit to "C Nursery School C," the server will make a reservation for the specified date.

[0395] Availability management

[0396] The server periodically checks municipal websites and updates the database with the latest availability information for childcare facilities. This information is later notified to users. For example, if the server checks the latest availability and finds that a vacancy has opened up at "D Nursery School," the information is updated immediately.

[0397] Integrated Information Display

[0398] The device visually organizes all collected information and provides a dashboard that users can easily view. This feature makes it easier for users to compare information on many facilities at a glance and choose the facility they want. For example, the device can display information on "Nursery School A," "Nursery School B," and "Nursery School C" in a list, allowing users to compare the features of each facility.

[0399] Thus, the present invention provides a system that significantly reduces the effort parents have to put into finding childcare facilities, enabling them to find the most suitable facility efficiently and quickly.

[0400] The following describes the processing flow.

[0401] Step 1:

[0402] The server crawls the official websites of childcare facilities and automatically collects necessary data using web scraping technology. This process extracts information such as location, contact information, opening hours, and capacity, and stores it in a database.

[0403] Step 2:

[0404] The server analyzes the collected information and detects any missing information. If missing information is detected, it automatically contacts childcare facilities via email or web form. This process ensures that the database information is as complete as possible.

[0405] Step 3:

[0406] Users enter the desired childcare facility and date / time through a dedicated application. Based on the user's input, the server accesses the childcare facility's online reservation system and automatically completes the reservation for the desired visit date.

[0407] Step 4:

[0408] The server periodically visits the official websites of municipalities to retrieve the latest availability information. The retrieved information is reflected in the database, and the data is updated as needed when new availability information is confirmed.

[0409] Step 5:

[0410] The device visually presents the collected and organized information to the user. Through this information, the user can compare multiple childcare facilities and view details of the selected facility.

[0411] (Example 1)

[0412] 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."

[0413] When parents search for childcare facilities, they face the challenge of finding a suitable facility efficiently and quickly due to the cumbersome process of gathering information, making reservations, and checking availability. In particular, collecting information scattered across the internet, inquiring about missing information, and making online reservations are time-consuming and burdensome, so there is a need for ways to automate and streamline these processes.

[0414] 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.

[0415] In this invention, the server includes means for automatically collecting information on childcare facilities using an information processing device, means for detecting missing information from the collected information and automatically making inquiries via electronic communication, and means for automatically completing a reservation for a visit to a childcare facility through an online reservation function based on conditions specified by the user. This makes it possible for parents to efficiently obtain information on childcare facilities and quickly find the most suitable facility.

[0416] An "information processing device" is a device that uses a computer or related technology to collect, process, store, and manage data.

[0417] "Automatic data collection" means that a program mechanically collects information from start to finish without human intervention.

[0418] "Missing information" refers to information that the system has determined to be necessary based on specific criteria, but has not yet acquired.

[0419] "Electronic communication" refers to the means of exchanging information between distant locations using technologies such as the internet and email.

[0420] The "online reservation function" is a system that allows users to make reservations via the internet, enabling them to specify the date, time, and details of their reservation.

[0421] "Presenting information in a visually organized manner" means structuring information in an easy-to-understand way and displaying it in a way that users can intuitively comprehend.

[0422] This invention is a system for efficiently collecting and utilizing childcare facility information. The system uses an information processing device and utilizes electronic communication technology to automatically collect information, make inquiries, and make reservations.

[0423] The server uses Python libraries such as Beautiful Soup and Scrapy to collect necessary information from the official websites of childcare facilities and related online resources on the internet. In doing so, the server parses the HTML structure of the web pages, extracts data such as addresses, contact information, opening hours, and capacity, and stores it in a MySQL database.

[0424] Next, the server inspects the collected data and, if any information is missing, automatically generates an email to inquire with the facility. This process uses Python's smtplib library for communication. For example, if fee information is missing, an email is sent to the facility requesting that information.

[0425] Users enter their desired childcare facility and visit date through a dedicated application. The server then uses Selenium to access the online reservation system and automatically completes the visit reservation for the specified date and time. For example, if a user wishes to visit "C Nursery School C," the server will complete the reservation.

[0426] Furthermore, the server regularly checks municipal websites to keep the availability of childcare facilities up-to-date. This allows for immediate updates of information when a vacancy becomes available.

[0427] Ultimately, the device visually organizes and displays the collected information on a dashboard using the React framework. This allows users to easily compare multiple facilities and determine their features. As a concrete example, information on "Nursery School A," "Nursery School B," and "Nursery School C" is displayed in a list that allows for easy comparison at a glance.

[0428] As an example of a prompt message, based on the instruction, "Please make a reservation to visit E Nursery School next Thursday at 10:00 AM," the system will execute the corresponding reservation. In this way, parents can quickly obtain information about childcare facilities and proceed with their search efficiently.

[0429] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0430] Step 1:

[0431] The server uses an information processing device to receive a list of URLs for official websites and related resources of childcare facilities on the internet as input. Using Python's Beautiful Soup or Scrapy libraries, it extracts data such as location, contact information, opening hours, and capacity from the HTML structure of the web pages and processes the data by saving it to a MySQL database. This process is executed automatically at specified time intervals to reflect the latest information on childcare facilities in the database.

[0432] Step 2:

[0433] The server inspects the information collected from the database and detects any missing information. Specifically, it detects cases where information such as pricing or facility service details are missing. Using a list of missing information as input, it automatically generates and sends inquiry emails to facilities using Python's smtplib library. These emails include requests for the provision of the specific missing information. The results of each transmission are recorded in the database.

[0434] Step 3:

[0435] The user enters the name of the desired childcare facility and the desired date for the visit into a dedicated application. Based on this input, the server uses Python's Selenium to automatically operate the online reservation system. The server enters the date and time specified by the user into the reservation form and completes the reservation. Details of successful reservations are recorded as output in the database and notified to the user.

[0436] Step 4:

[0437] The server periodically crawls municipal websites and runs a script to check the latest availability of childcare facilities. This script uses web scraping techniques to extract availability information and updates the database. This allows users to be immediately notified of available spaces.

[0438] Step 5:

[0439] The terminal receives integrated information on all childcare facilities provided by the server as input, and visually organizes and displays it on a dashboard using the React framework. This output allows users to compare information on multiple childcare facilities at a glance and easily determine the characteristics of each facility. The information for each facility is output to the user in a customized display format.

[0440] (Application Example 1)

[0441] 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."

[0442] The traditional process of finding childcare facilities was inefficient, requiring numerous manual steps such as information gathering, scheduling visits, and checking availability. Furthermore, it was difficult for users to easily find facilities that met their needs. Additionally, access to information at home was limited, highlighting the need for a more streamlined decision-making process.

[0443] 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.

[0444] In this invention, the server includes means for automatically collecting information on childcare facilities, means for detecting missing information from the collected information and automatically making inquiries, and means for automatically making reservations for visits to childcare facilities based on conditions specified by the user. This makes it possible for users to easily find facilities and make quick decisions by acquiring childcare facility information in real time using home devices and inputting through voice recognition or a touch panel.

[0445] A "childcare facility" is a facility that provides childcare and education for preschool children.

[0446] "Means of automatically collecting information" refers to a device or system that has the function of patrolling online resources and programmatically acquiring the necessary data.

[0447] "Means for detecting missing information and automatically making inquiries" refers to a system that identifies gaps in collected data and has the function of automatically inquiring about additional information from business partners and related organizations.

[0448] "A means of automatically making reservations for visits to childcare facilities based on conditions specified by the user" refers to a device or system that takes the user's desired conditions as input and has the function of completing the reservation procedure online based on those conditions.

[0449] "Means of regularly checking availability and updating information" refers to a device or system that has an automated process for monitoring the availability of a facility at regular intervals and reflecting the results in a database.

[0450] "A means of suggesting suitable childcare facilities to users via home-use devices" means a device or system that takes user preferences and requirements as input via voice or touch operation and provides information on the most suitable childcare facilities based on that input.

[0451] "A means of checking the latest information and available dates for visits to childcare facilities via the internet and automatically making reservations" refers to a device or system that has the function of obtaining facility information via a network, checking the reservation status based on that information, and automatically completing the application and reservation.

[0452] To implement this invention, it is necessary to configure a system that efficiently collects, manages, and provides childcare facility information to users. This system is equipped with a series of functions to improve user convenience through various means.

[0453] First, the server automatically collects publicly available childcare facility data from the internet using web scraping technology. This includes algorithms that use programming languages ​​such as Python to extract location information, contact details, and details of services offered from the official websites and related sites of childcare facilities. Next, the server analyzes the collected database to detect any missing information. Then, it uses an automated email generation function to contact the facilities to inquire about any missing information.

[0454] Furthermore, users can input search criteria for childcare facilities and desired visit dates through a smart robot equipped with a home-use interface. This smart robot features a voice recognition system and a touch display, accurately recognizing the user's input and transmitting it to a server. Based on this information, the server accesses the facility's reservation system via the internet and automates the visit reservation process.

[0455] The server also periodically accesses public databases from municipalities and public institutions to check the latest availability of childcare facilities and update the database. The updated information is visually displayed in a dashboard format on home devices and mobile devices, allowing users to easily compare and consider facilities.

[0456] To further complement this system, we are utilizing generative AI models to develop prompts that allow users to quickly obtain the information they need. For example, by providing prompts such as, "Generate example conversations for a robot on how to provide information and support scheduling visits for parents looking for childcare facilities," we can generate natural user support dialogues.

[0457] This invention, structured in this way, will improve the efficiency of finding childcare facilities and enhance the user experience.

[0458] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0459] Step 1:

[0460] The server performs web scraping by visiting the official websites and related sites of childcare facilities on the internet. It uses a list of URLs containing facility information as input. A scraping program, such as one using Python, then runs to extract and save important data such as facility name, address, contact information, and childcare hours. As output, this data is organized and stored in a database.

[0461] Step 2:

[0462] The server scans the stored database and performs a procedure to detect missing information. The input is the childcare facility data collected in the previous step. If a specific field is blank or does not meet the criteria, the program identifies that information as missing. The server then automatically creates an email and sends a query to the specified childcare facility for the missing information. The output is a notification that the query information has been successfully sent.

[0463] Step 3:

[0464] Users specify their requirements for childcare facilities via home devices, such as smart robots. They input information such as facility type, location, and desired visit dates using voice recognition or a touch display. The device digitizes the recognized information and uses it as input data to send to the server. The output is a list of childcare facilities based on the user's preferences.

[0465] Step 4:

[0466] The server accesses the online tour reservation system based on user-specified conditions and automatically makes reservations. The system uses the user's preferred date, time, and facility information as input. Based on this information, the system checks available schedules and automatically completes the reservation. The output provides the user with confirmation of the successful reservation and detailed feedback.

[0467] Step 5:

[0468] The server periodically checks public databases of local governments and public institutions to obtain the latest availability information for childcare facilities. Inputs include existing facility data and new information regarding availability. The system updates the database, immediately reflecting any changes in availability information. Output is an interface updated with the latest availability information.

[0469] Step 6:

[0470] The terminal integrates and displays updated information on dashboards for home devices and mobile devices. Inputs include the latest childcare facility information and user criteria. This allows the terminal to create an interface that allows for quick comparison of multiple facilities, presenting the user with a visually organized list as output. Users can then compare the features of the facilities and make informed decisions.

[0471] 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.

[0472] This invention provides users with a more personalized experience by incorporating an emotion engine that recognizes the user's emotions into a system that assists in finding childcare facilities. This system analyzes the user's emotions in real time and adjusts the way childcare facility information is presented and suggests visit plans based on that information.

[0473] Information gathering and organization

[0474] The server continues to collect data from the official websites and related online resources of childcare facilities, as before. It extracts information such as location, contact details, and opening hours, and stores them in a database, just as before. In addition, the sentiment engine prepares to receive user interaction data for analysis.

[0475] Utilizing the Emotion Engine

[0476] The device is equipped with an emotion engine that detects emotions from the user's voice, facial expressions, and text input. While the user is browsing childcare facility information, this engine analyzes the emotion data in real time to understand the user's current emotional state. For example, if the emotion of joy is detected while the user is viewing information about a particular facility, the emotion engine records it in the database.

[0477] Proposal and coordination

[0478] The server recommends childcare facilities that are more suitable for the user based on feedback from the emotion engine. For example, if a user's emotion is positive when viewing information about a particular facility, that facility will be added to the recommendation list with priority. It can also flexibly adjust the order and content of the information displayed according to the user's current emotional state.

[0479] Proposed tour plan

[0480] Based on information from the emotion engine, the device can suggest a tour plan that focuses on the user's emotions and interests. For example, it can provide a tour schedule centered around facilities that the user found enjoyable and pleasurable, and arrange the facilities in an order that is likely to interest the user, thereby providing a less stressful experience.

[0481] Thus, the present invention aims to significantly improve the efficiency and satisfaction of choosing a childcare facility by incorporating the user's emotional elements into the process of searching for a childcare facility, thereby providing information and experiences tailored to individual user needs.

[0482] The following describes the processing flow.

[0483] Step 1:

[0484] The server crawls the official websites of childcare facilities and uses scraping technology to automatically collect basic information such as location, contact information, opening hours, and capacity, and stores it in a database.

[0485] Step 2:

[0486] The terminal provides a user interface, creating an environment where users can access, browse, and search for childcare facility information. During this process, the terminal is equipped with an emotion engine that monitors the user's tone of voice and facial expressions in real time.

[0487] Step 3:

[0488] The emotion engine analyzes the user's emotional state and identifies positive or negative responses. This information is fed back to the server and used to present information that is relevant to the user's current situation.

[0489] Step 4:

[0490] The server adjusts the order and content of childcare facility information based on feedback from the emotion engine. For example, if a user shows interest in a particular facility, information related to that facility will be displayed preferentially.

[0491] Step 5:

[0492] If a user wishes to visit a childcare facility they are interested in, they enter their preferred date and time for the visit via their device.

[0493] Step 6:

[0494] The server accesses the childcare facility's online reservation system and automatically completes the visit reservation based on the conditions entered by the user.

[0495] Step 7:

[0496] The device uses data from an emotion engine to suggest a visit schedule to the user that is based on emotionally positive childcare facilities. For example, it plans and recommends visits centered around facilities that the user has shown particular interest in.

[0497] (Example 2)

[0498] 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."

[0499] Conventional childcare facility information systems provide information without considering the user's emotional state, making it difficult for users to choose a facility that meets their potential needs and preferences. Furthermore, they lack personalized information provision and suggested visit plans that incorporate emotional data. Therefore, there is a need to improve the efficiency and satisfaction of choosing a childcare facility.

[0500] 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.

[0501] In this invention, the server includes means for automatically collecting information on childcare facilities and storing it in a storage means, means for detecting the user's emotions from voice, facial expressions, and text input, and means for recommending facilities based on the analyzed emotion data. This enables personalized selection of childcare facilities based on the user's emotions.

[0502] A "childcare facility" is a facility that takes in infants and preschool children and provides them with childcare and education.

[0503] "Methods for automatically collecting information" refer to technologies that use specific algorithms or programs to obtain necessary data from websites and digital resources without human intervention.

[0504] A "storage system" refers to a storage or database mechanism that holds collected data and allows it to be retrieved when needed.

[0505] "Means of detecting emotions" refer to devices and systems that determine a user's emotions and psychological state from information such as voice, facial expressions, and text input.

[0506] "Means of analysis and recording" refers to technologies that process detected data, save the results, and prepare them for later analysis and use.

[0507] "Methods for recommending facilities" refer to methods for selecting and presenting childcare facilities that are suitable for the user, using the results of the analysis.

[0508] "Means for adjusting the display order of information" refers to technologies that change the order and arrangement of information displayed on the screen according to the user's emotions and preferences.

[0509] "A means of proposing a tour plan" refers to a system that creates an optimal schedule for visiting childcare facilities based on the user's interests and feelings.

[0510] This invention is a system designed to support users in choosing childcare facilities while taking their emotions into consideration. The system is primarily implemented using a server, terminals, and user interaction.

[0511] The server utilizes a Python web scraping tool to automatically collect information from the official websites and related resources of childcare facilities. The collected data is stored in a MySQL database, allowing users to access the most up-to-date information. This database contains important information such as the facility's location, contact information, and opening hours.

[0512] The device is equipped with an emotion engine that detects emotions from the user's voice, facial expressions, and text input. This engine uses Microsoft Azure's emotion analysis API to analyze the user's emotional state in real time. As a result, the emotions the user feels while viewing information are collected as data and sent to the server.

[0513] Users can view information about childcare facilities through their devices and find facilities that suit their preferences. For example, if a user feels pleased after viewing information about a particular childcare facility, that emotional information is sent to the server and used for future recommendations.

[0514] The system recommends suitable facilities to the user based on important information. Specifically, the server utilizes machine learning models based on TensorFlow to analyze the user's sentiment data and present recommended facilities. It can also adaptively adjust the order of information displayed based on the user's current sentiment.

[0515] As a concrete example, a visit plan is suggested on the device that prioritizes visits to other similar childcare facilities based on the childcare facility the user found "enjoyable." An example of a prompt message when using a generative AI model might be, "Detect what kind of emotions the user has towards the facility they are viewing, and prioritize suggesting facilities that elicited positive emotions."

[0516] Thus, the present invention incorporates user emotional data into the process of searching for childcare facilities, enabling more personalized information provision and experiences.

[0517] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0518] Step 1:

[0519] The server collects information on childcare facilities. It obtains URLs of the facility's official website and related resources as input. Specifically, it uses a Python web scraping tool to extract information such as location, contact details, and opening hours from these pages. The resulting information is stored in a structured format in a MySQL database. This ensures that the information provided to users is always up-to-date.

[0520] Step 2:

[0521] The device collects user emotion data. Inputs include the user's voice, facial expressions, and text input, all acquired in real time. This data is analyzed through an emotion engine built into the device. Specifically, it uses the Microsoft Azure emotion analysis API to classify emotional states into categories such as "joyful" and "interesting." The output is the analyzed emotion data, which is sent to a server for subsequent recommendation processing.

[0522] Step 3:

[0523] The server performs information recommendations using sentiment data. It receives user sentiment data sent from the terminal and childcare facility information already stored in the database as input. A machine learning model using TensorFlow is applied here, taking into account the user's sentiment patterns and the characteristics of the facilities to select the most suitable facility. The output is a list of recommended childcare facilities, sent to the terminal in order of priority.

[0524] Step 4:

[0525] The terminal proposes a tour plan to the user. The inputs used are a list of recommended facilities sent from the server and the user's sentiment data. Based on this information, the terminal generates a tour schedule, prioritizing facilities that the user is most likely to be interested in. Specifically, it provides an editable plan through the user interface, allowing the user to adjust it according to their preferences and schedule. The output is an optimized tour plan, improving user convenience and satisfaction.

[0526] (Application Example 2)

[0527] 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."

[0528] In recent years, there has been a growing demand for information that accurately reflects the individual needs of users when searching for childcare facilities. However, traditional systems have difficulty providing personalized information based on users' emotions and interests, which is one of the factors that reduces the efficiency and satisfaction of choosing a childcare facility. Specifically, there is a lack of flexible information suggestions and tour plans that respond to users' emotions, making it difficult for users to make the best choice.

[0529] 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.

[0530] In this invention, the server includes means for automatically organizing data on childcare facilities, means for recognizing the user's emotions and adjusting the method of presenting childcare facility information based on the analysis results, and means for proposing a tour plan that focuses on the user's emotions and interests. This enables personalized information provision that responds to the user's emotions and streamlines the selection of the optimal facility and the creation of a tour plan.

[0531] A "device for automatically organizing data from childcare facilities" is a device that collects information about childcare facilities and processes and classifies that data according to specific criteria.

[0532] A "device that recognizes user emotions and adjusts the presentation method of childcare facility information based on the analysis results" is a device that detects emotions from the user's voice, facial expressions, or text, and changes the presentation method of information according to those emotions.

[0533] "A method for proposing a tour plan that focuses on the user's emotions and interests" refers to a method that organizes a tour schedule of childcare facilities based on the emotions and interests expressed by the user, and proposes it in a way that is most suitable for the user.

[0534] The system that realizes this application example is centered around application software installed on devices such as smartphones and smart glasses. The server automatically organizes data from childcare facilities and receives and processes emotional data transmitted from users' devices in real time. The emotion analysis engine used here combines powerful software for speech recognition and facial recognition; for example, EmotionEngine can be used.

[0535] The terminal is equipped with a device that analyzes the user's emotions through voice, facial expressions, and text input. This emotional data is sent to a server where data calculations are performed according to the terms and conditions. Advanced algorithms are used in the data calculations to identify childcare facility information that the user has shown interest in and to individually adjust how it is displayed.

[0536] For example, when a family is searching for a childcare facility, EmotionEngine detects the child's beaming smile, determines that the displayed facility is appealing, adds it to the server's recommendation list, and enhances the display. As a result, users are constantly presented with interesting facility information in a dynamic way, making it easier to plan visits.

[0537] As a concrete example, suppose a user is using their smartphone to select childcare facilities to visit on the weekend. In this system, suggestions for facilities that the user has expressed positive feelings about are provided, and information that is likely to pique their interest is displayed preferentially. Through a prompt such as "What kind of facility would your child enjoy?", the AI ​​model can generate even more refined suggestions.

[0538] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0539] Step 1:

[0540] The device receives user voice, facial expressions, or text input. EmotionEngine uses this input data to analyze emotions. Specifically, it analyzes voice waveforms and facial imagery to determine emotional states such as joy, surprise, and sadness. The output of this process is a tag for the determined emotion.

[0541] Step 2:

[0542] The server receives emotion tags sent from the terminal. Based on these emotion tags, an algorithm within the server optimizes facility information to reflect the user's emotional state. Facility information matching the emotion tags is extracted and organized from the facility database, and a recommendation list is generated. This list is then output.

[0543] Step 3:

[0544] The server sends the generated recommendation list to the user's terminal and instructs it to individually adjust the display order and content. The input here is the recommendation list generated in the previous step, and the output is the specific display command for that list. The server uses data visualization techniques to prioritize displaying the information most relevant to the user.

[0545] Step 4:

[0546] The user views the adjusted childcare facility information displayed on the device and selects the facilities that interest them. At this point, the device sends the user's selection information back to the server as feedback. The server receives the user's selection input and uses it to perform further sentiment analysis and accumulate data.

[0547] Step 5:

[0548] The server will use the above feedback to inform future suggestions and tour plans. This data will be saved as a user profile and used to improve the accuracy of recommendations in the future. The output will be recommendations for the next visit based on the predicted user experience.

[0549] 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.

[0550] 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 those described above. 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 shown 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.

[0551] 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.

[0552] [Fourth Embodiment]

[0553] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0554] 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.

[0555] 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).

[0556] 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.

[0557] 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.

[0558] 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).

[0559] 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.

[0560] 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.

[0561] 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.

[0562] 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.

[0563] 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.

[0564] 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.

[0565] 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".

[0566] This invention is a system for streamlining the search for childcare facilities and consists of multiple modules. This system automatically collects information on childcare facilities, enables inquiries about missing information, automates scheduling visits, manages availability, and provides an integrated display of information. Specific embodiments are described below.

[0567] Information gathering

[0568] The server crawls online resources, including the official websites and related information of childcare facilities, and uses web scraping techniques to collect necessary data. For example, the server extracts basic information such as the location, contact information, opening hours, and capacity of "Nursery School A" and stores it in a database.

[0569] Automated query for missing information

[0570] The server detects missing information in the collected data based on specific criteria. This missing information is then supplemented by automatically generating and sending emails to childcare facilities. For example, if the server finds that fee information is missing for "Nursery School B," it will automatically send an email inquiring about this information.

[0571] Automation of tour reservations

[0572] Users can input their desired childcare facility and visit date through a dedicated application. The server then accesses the facility's online reservation system and automatically completes the reservation. For example, if a user requests a visit to "C Nursery School C," the server will make a reservation for the specified date.

[0573] Availability management

[0574] The server periodically checks municipal websites and updates the database with the latest availability information for childcare facilities. This information is later notified to users. For example, if the server checks the latest availability and finds that a vacancy has opened up at "D Nursery School," the information is updated immediately.

[0575] Integrated Information Display

[0576] The device visually organizes all collected information and provides a dashboard that users can easily view. This feature makes it easier for users to compare information on many facilities at a glance and choose the facility they want. For example, the device can display information on "Nursery School A," "Nursery School B," and "Nursery School C" in a list, allowing users to compare the features of each facility.

[0577] Thus, the present invention provides a system that significantly reduces the effort parents have to put into finding childcare facilities, enabling them to find the most suitable facility efficiently and quickly.

[0578] The following describes the processing flow.

[0579] Step 1:

[0580] The server crawls the official websites of childcare facilities and automatically collects necessary data using web scraping technology. This process extracts information such as location, contact information, opening hours, and capacity, and stores it in a database.

[0581] Step 2:

[0582] The server analyzes the collected information and detects any missing information. If missing information is detected, it automatically contacts childcare facilities via email or web form. This process ensures that the database information is as complete as possible.

[0583] Step 3:

[0584] Users enter the desired childcare facility and date / time through a dedicated application. Based on the user's input, the server accesses the childcare facility's online reservation system and automatically completes the reservation for the desired visit date.

[0585] Step 4:

[0586] The server periodically visits the official websites of municipalities to retrieve the latest availability information. The retrieved information is reflected in the database, and the data is updated as needed when new availability information is confirmed.

[0587] Step 5:

[0588] The device visually presents the collected and organized information to the user. Through this information, the user can compare multiple childcare facilities and view details of the selected facility.

[0589] (Example 1)

[0590] 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".

[0591] When parents search for childcare facilities, they face the challenge of finding a suitable facility efficiently and quickly due to the cumbersome process of gathering information, making reservations, and checking availability. In particular, collecting information scattered across the internet, inquiring about missing information, and making online reservations are time-consuming and burdensome, so there is a need for ways to automate and streamline these processes.

[0592] 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.

[0593] In this invention, the server includes means for automatically collecting information on childcare facilities using an information processing device, means for detecting missing information from the collected information and automatically making inquiries via electronic communication, and means for automatically completing a reservation for a visit to a childcare facility through an online reservation function based on conditions specified by the user. This makes it possible for parents to efficiently obtain information on childcare facilities and quickly find the most suitable facility.

[0594] An "information processing device" is a device that uses a computer or related technology to collect, process, store, and manage data.

[0595] "Automatic data collection" means that a program mechanically collects information from start to finish without human intervention.

[0596] "Missing information" refers to information that the system has determined to be necessary based on specific criteria, but has not yet acquired.

[0597] "Electronic communication" refers to the means of exchanging information between distant locations using technologies such as the internet and email.

[0598] The "online reservation function" is a system that allows users to make reservations via the internet, enabling them to specify the date, time, and details of their reservation.

[0599] "Presenting information in a visually organized manner" means structuring information in an easy-to-understand way and displaying it in a way that users can intuitively comprehend.

[0600] This invention is a system for efficiently collecting and utilizing childcare facility information. The system uses an information processing device and utilizes electronic communication technology to automatically collect information, make inquiries, and make reservations.

[0601] The server uses Python libraries such as Beautiful Soup and Scrapy to collect necessary information from the official websites of childcare facilities and related online resources on the internet. In doing so, the server parses the HTML structure of the web pages, extracts data such as addresses, contact information, opening hours, and capacity, and stores it in a MySQL database.

[0602] Next, the server inspects the collected data and, if any information is missing, automatically generates an email to inquire with the facility. This process uses Python's smtplib library for communication. For example, if fee information is missing, an email is sent to the facility requesting that information.

[0603] Users enter their desired childcare facility and visit date through a dedicated application. The server then uses Selenium to access the online reservation system and automatically completes the visit reservation for the specified date and time. For example, if a user wishes to visit "C Nursery School C," the server will complete the reservation.

[0604] Furthermore, the server regularly checks municipal websites to keep the availability of childcare facilities up-to-date. This allows for immediate updates of information when a vacancy becomes available.

[0605] Ultimately, the device visually organizes and displays the collected information on a dashboard using the React framework. This allows users to easily compare multiple facilities and determine their features. As a concrete example, information on "Nursery School A," "Nursery School B," and "Nursery School C" is displayed in a list that allows for easy comparison at a glance.

[0606] As an example of a prompt message, based on the instruction, "Please make a reservation to visit E Nursery School next Thursday at 10:00 AM," the system will execute the corresponding reservation. In this way, parents can quickly obtain information about childcare facilities and proceed with their search efficiently.

[0607] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0608] Step 1:

[0609] The server uses an information processing device to receive a list of URLs for official websites and related resources of childcare facilities on the internet as input. Using Python's Beautiful Soup or Scrapy libraries, it extracts data such as location, contact information, opening hours, and capacity from the HTML structure of the web pages and processes the data by saving it to a MySQL database. This process is executed automatically at specified time intervals to reflect the latest information on childcare facilities in the database.

[0610] Step 2:

[0611] The server inspects the information collected from the database and detects any missing information. Specifically, it detects cases where information such as pricing or facility service details are missing. Using a list of missing information as input, it automatically generates and sends inquiry emails to facilities using Python's smtplib library. These emails include requests for the provision of the specific missing information. The results of each transmission are recorded in the database.

[0612] Step 3:

[0613] The user enters the name of the desired childcare facility and the desired date for the visit into a dedicated application. Based on this input, the server uses Python's Selenium to automatically operate the online reservation system. The server enters the date and time specified by the user into the reservation form and completes the reservation. Details of successful reservations are recorded as output in the database and notified to the user.

[0614] Step 4:

[0615] The server periodically crawls municipal websites and runs a script to check the latest availability of childcare facilities. This script uses web scraping techniques to extract availability information and updates the database. This allows users to be immediately notified of available spaces.

[0616] Step 5:

[0617] The terminal receives integrated information on all childcare facilities provided by the server as input, and visually organizes and displays it on a dashboard using the React framework. This output allows users to compare information on multiple childcare facilities at a glance and easily determine the characteristics of each facility. The information for each facility is output to the user in a customized display format.

[0618] (Application Example 1)

[0619] 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".

[0620] The traditional process of finding childcare facilities was inefficient, requiring numerous manual steps such as information gathering, scheduling visits, and checking availability. Furthermore, it was difficult for users to easily find facilities that met their needs. Additionally, access to information at home was limited, highlighting the need for a more streamlined decision-making process.

[0621] 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.

[0622] In this invention, the server includes means for automatically collecting information on childcare facilities, means for detecting missing information from the collected information and automatically making inquiries, and means for automatically making reservations for visits to childcare facilities based on conditions specified by the user. This makes it possible for users to easily find facilities and make quick decisions by acquiring childcare facility information in real time using home devices and inputting through voice recognition or a touch panel.

[0623] A "childcare facility" is a facility that provides childcare and education for preschool children.

[0624] "Means of automatically collecting information" refers to a device or system that has the function of patrolling online resources and programmatically acquiring the necessary data.

[0625] "Means for detecting missing information and automatically making inquiries" refers to a system that identifies gaps in collected data and has the function of automatically inquiring about additional information from business partners and related organizations.

[0626] "A means of automatically making reservations for visits to childcare facilities based on conditions specified by the user" refers to a device or system that takes the user's desired conditions as input and has the function of completing the reservation procedure online based on those conditions.

[0627] "Means of regularly checking availability and updating information" refers to a device or system that has an automated process for monitoring the availability of a facility at regular intervals and reflecting the results in a database.

[0628] "A means of suggesting suitable childcare facilities to users via home-use devices" means a device or system that takes user preferences and requirements as input via voice or touch operation and provides information on the most suitable childcare facilities based on that input.

[0629] "A means of checking the latest information and available dates for visits to childcare facilities via the internet and automatically making reservations" refers to a device or system that has the function of obtaining facility information via a network, checking the reservation status based on that information, and automatically completing the application and reservation.

[0630] To implement this invention, it is necessary to configure a system that efficiently collects, manages, and provides childcare facility information to users. This system is equipped with a series of functions to improve user convenience through various means.

[0631] First, the server automatically collects publicly available childcare facility data from the internet using web scraping technology. This includes algorithms that use programming languages ​​such as Python to extract location information, contact details, and details of services offered from the official websites and related sites of childcare facilities. Next, the server analyzes the collected database to detect any missing information. Then, it uses an automated email generation function to contact the facilities to inquire about any missing information.

[0632] Furthermore, users can input search criteria for childcare facilities and desired visit dates through a smart robot equipped with a home-use interface. This smart robot features a voice recognition system and a touch display, accurately recognizing the user's input and transmitting it to a server. Based on this information, the server accesses the facility's reservation system via the internet and automates the visit reservation process.

[0633] The server also periodically accesses public databases from municipalities and public institutions to check the latest availability of childcare facilities and update the database. The updated information is visually displayed in a dashboard format on home devices and mobile devices, allowing users to easily compare and consider facilities.

[0634] To further complement this system, we are utilizing generative AI models to develop prompts that allow users to quickly obtain the information they need. For example, by providing prompts such as, "Generate example conversations for a robot on how to provide information and support scheduling visits for parents looking for childcare facilities," we can generate natural user support dialogues.

[0635] This invention, structured in this way, will improve the efficiency of finding childcare facilities and enhance the user experience.

[0636] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0637] Step 1:

[0638] The server performs web scraping by visiting the official websites and related sites of childcare facilities on the internet. It uses a list of URLs containing facility information as input. A scraping program, such as one using Python, then runs to extract and save important data such as facility name, address, contact information, and childcare hours. As output, this data is organized and stored in a database.

[0639] Step 2:

[0640] The server scans the stored database and performs a procedure to detect missing information. The input is the childcare facility data collected in the previous step. If a specific field is blank or does not meet the criteria, the program identifies that information as missing. The server then automatically creates an email and sends a query to the specified childcare facility for the missing information. The output is a notification that the query information has been successfully sent.

[0641] Step 3:

[0642] Users specify their requirements for childcare facilities via home devices, such as smart robots. They input information such as facility type, location, and desired visit dates using voice recognition or a touch display. The device digitizes the recognized information and uses it as input data to send to the server. The output is a list of childcare facilities based on the user's preferences.

[0643] Step 4:

[0644] The server accesses the online tour reservation system based on user-specified conditions and automatically makes reservations. The system uses the user's preferred date, time, and facility information as input. Based on this information, the system checks available schedules and automatically completes the reservation. The output provides the user with confirmation of the successful reservation and detailed feedback.

[0645] Step 5:

[0646] The server periodically checks public databases of local governments and public institutions to obtain the latest availability information for childcare facilities. Inputs include existing facility data and new information regarding availability. The system updates the database, immediately reflecting any changes in availability information. Output is an interface updated with the latest availability information.

[0647] Step 6:

[0648] The terminal integrates and displays updated information on dashboards for home devices and mobile devices. Inputs include the latest childcare facility information and user criteria. This allows the terminal to create an interface that allows for quick comparison of multiple facilities, presenting the user with a visually organized list as output. Users can then compare the features of the facilities and make informed decisions.

[0649] 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.

[0650] This invention provides users with a more personalized experience by incorporating an emotion engine that recognizes the user's emotions into a system that assists in finding childcare facilities. This system analyzes the user's emotions in real time and adjusts the way childcare facility information is presented and suggests visit plans based on that information.

[0651] Information gathering and organization

[0652] The server continues to collect data from the official websites and related online resources of childcare facilities, as before. It extracts information such as location, contact details, and opening hours, and stores them in a database, just as before. In addition, the sentiment engine prepares to receive user interaction data for analysis.

[0653] Utilizing the Emotion Engine

[0654] The device is equipped with an emotion engine that detects emotions from the user's voice, facial expressions, and text input. While the user is browsing childcare facility information, this engine analyzes the emotion data in real time to understand the user's current emotional state. For example, if the emotion of joy is detected while the user is viewing information about a particular facility, the emotion engine records it in the database.

[0655] Proposal and coordination

[0656] The server recommends childcare facilities that are more suitable for the user based on feedback from the emotion engine. For example, if a user's emotion is positive when viewing information about a particular facility, that facility will be added to the recommendation list with priority. It can also flexibly adjust the order and content of the information displayed according to the user's current emotional state.

[0657] Proposed tour plan

[0658] Based on information from the emotion engine, the device can suggest a tour plan that focuses on the user's emotions and interests. For example, it can provide a tour schedule centered around facilities that the user found enjoyable and pleasurable, and arrange the facilities in an order that is likely to interest the user, thereby providing a less stressful experience.

[0659] Thus, the present invention aims to significantly improve the efficiency and satisfaction of choosing a childcare facility by incorporating the user's emotional elements into the process of searching for a childcare facility, thereby providing information and experiences tailored to individual user needs.

[0660] The following describes the processing flow.

[0661] Step 1:

[0662] The server crawls the official websites of childcare facilities and uses scraping technology to automatically collect basic information such as location, contact information, opening hours, and capacity, and stores it in a database.

[0663] Step 2:

[0664] The terminal provides a user interface, creating an environment where users can access, browse, and search for childcare facility information. During this process, the terminal is equipped with an emotion engine that monitors the user's tone of voice and facial expressions in real time.

[0665] Step 3:

[0666] The emotion engine analyzes the user's emotional state and identifies positive or negative responses. This information is fed back to the server and used to present information that is relevant to the user's current situation.

[0667] Step 4:

[0668] The server adjusts the order and content of childcare facility information based on feedback from the emotion engine. For example, if a user shows interest in a particular facility, information related to that facility will be displayed preferentially.

[0669] Step 5:

[0670] If a user wishes to visit a childcare facility they are interested in, they enter their preferred date and time for the visit via their device.

[0671] Step 6:

[0672] The server accesses the childcare facility's online reservation system and automatically completes the visit reservation based on the conditions entered by the user.

[0673] Step 7:

[0674] The device uses data from an emotion engine to suggest a visit schedule to the user that is based on emotionally positive childcare facilities. For example, it plans and recommends visits centered around facilities that the user has shown particular interest in.

[0675] (Example 2)

[0676] 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".

[0677] Conventional childcare facility information systems provide information without considering the user's emotional state, making it difficult for users to choose a facility that meets their potential needs and preferences. Furthermore, they lack personalized information provision and suggested visit plans that incorporate emotional data. Therefore, there is a need to improve the efficiency and satisfaction of choosing a childcare facility.

[0678] 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.

[0679] In this invention, the server includes means for automatically collecting information on childcare facilities and storing it in a storage means, means for detecting the user's emotions from voice, facial expressions, and text input, and means for recommending facilities based on the analyzed emotion data. This enables personalized selection of childcare facilities based on the user's emotions.

[0680] A "childcare facility" is a facility that takes in infants and preschool children and provides them with childcare and education.

[0681] "Methods for automatically collecting information" refer to technologies that use specific algorithms or programs to obtain necessary data from websites and digital resources without human intervention.

[0682] A "storage system" refers to a storage or database mechanism that holds collected data and allows it to be retrieved when needed.

[0683] "Means of detecting emotions" refer to devices and systems that determine a user's emotions and psychological state from information such as voice, facial expressions, and text input.

[0684] "Means of analysis and recording" refers to technologies that process detected data, save the results, and prepare them for later analysis and use.

[0685] "Methods for recommending facilities" refer to methods for selecting and presenting childcare facilities that are suitable for the user, using the results of the analysis.

[0686] "Means for adjusting the display order of information" refers to technologies that change the order and arrangement of information displayed on the screen according to the user's emotions and preferences.

[0687] "A means of proposing a tour plan" refers to a system that creates an optimal schedule for visiting childcare facilities based on the user's interests and feelings.

[0688] This invention is a system designed to support users in choosing childcare facilities while taking their emotions into consideration. The system is primarily implemented using a server, terminals, and user interaction.

[0689] The server utilizes a Python web scraping tool to automatically collect information from the official websites and related resources of childcare facilities. The collected data is stored in a MySQL database, allowing users to access the most up-to-date information. This database contains important information such as the facility's location, contact information, and opening hours.

[0690] The device is equipped with an emotion engine that detects emotions from the user's voice, facial expressions, and text input. This engine uses Microsoft Azure's emotion analysis API to analyze the user's emotional state in real time. As a result, the emotions the user feels while viewing information are collected as data and sent to the server.

[0691] Users can view information about childcare facilities through their devices and find facilities that suit their preferences. For example, if a user feels pleased after viewing information about a particular childcare facility, that emotional information is sent to the server and used for future recommendations.

[0692] The system recommends suitable facilities to the user based on important information. Specifically, the server utilizes machine learning models based on TensorFlow to analyze the user's sentiment data and present recommended facilities. It can also adaptively adjust the order of information displayed based on the user's current sentiment.

[0693] As a concrete example, a visit plan is suggested on the device that prioritizes visits to other similar childcare facilities based on the childcare facility the user found "enjoyable." An example of a prompt message when using a generative AI model might be, "Detect what kind of emotions the user has towards the facility they are viewing, and prioritize suggesting facilities that elicited positive emotions."

[0694] Thus, the present invention incorporates user emotional data into the process of searching for childcare facilities, enabling more personalized information provision and experiences.

[0695] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0696] Step 1:

[0697] The server collects information on childcare facilities. It obtains URLs of the facility's official website and related resources as input. Specifically, it uses a Python web scraping tool to extract information such as location, contact details, and opening hours from these pages. The resulting information is stored in a structured format in a MySQL database. This ensures that the information provided to users is always up-to-date.

[0698] Step 2:

[0699] The device collects user emotion data. Inputs include the user's voice, facial expressions, and text input, all acquired in real time. This data is analyzed through an emotion engine built into the device. Specifically, it uses the Microsoft Azure emotion analysis API to classify emotional states into categories such as "joyful" and "interesting." The output is the analyzed emotion data, which is sent to a server for subsequent recommendation processing.

[0700] Step 3:

[0701] The server performs information recommendations using sentiment data. It receives user sentiment data sent from the terminal and childcare facility information already stored in the database as input. A machine learning model using TensorFlow is applied here, taking into account the user's sentiment patterns and the characteristics of the facilities to select the most suitable facility. The output is a list of recommended childcare facilities, sent to the terminal in order of priority.

[0702] Step 4:

[0703] The terminal proposes a tour plan to the user. The inputs used are a list of recommended facilities sent from the server and the user's sentiment data. Based on this information, the terminal generates a tour schedule, prioritizing facilities that the user is most likely to be interested in. Specifically, it provides an editable plan through the user interface, allowing the user to adjust it according to their preferences and schedule. The output is an optimized tour plan, improving user convenience and satisfaction.

[0704] (Application Example 2)

[0705] 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".

[0706] In recent years, there has been a growing demand for information that accurately reflects the individual needs of users when searching for childcare facilities. However, traditional systems have difficulty providing personalized information based on users' emotions and interests, which is one of the factors that reduces the efficiency and satisfaction of choosing a childcare facility. Specifically, there is a lack of flexible information suggestions and tour plans that respond to users' emotions, making it difficult for users to make the best choice.

[0707] 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.

[0708] In this invention, the server includes means for automatically organizing data on childcare facilities, means for recognizing the user's emotions and adjusting the method of presenting childcare facility information based on the analysis results, and means for proposing a tour plan that focuses on the user's emotions and interests. This enables personalized information provision that responds to the user's emotions and streamlines the selection of the optimal facility and the creation of a tour plan.

[0709] A "device for automatically organizing data from childcare facilities" is a device that collects information about childcare facilities and processes and classifies that data according to specific criteria.

[0710] A "device that recognizes user emotions and adjusts the presentation method of childcare facility information based on the analysis results" is a device that detects emotions from the user's voice, facial expressions, or text, and changes the presentation method of information according to those emotions.

[0711] "A method for proposing a tour plan that focuses on the user's emotions and interests" refers to a method that organizes a tour schedule of childcare facilities based on the emotions and interests expressed by the user, and proposes it in a way that is most suitable for the user.

[0712] The system that realizes this application example is centered around application software installed on devices such as smartphones and smart glasses. The server automatically organizes data from childcare facilities and receives and processes emotional data transmitted from users' devices in real time. The emotion analysis engine used here combines powerful software for speech recognition and facial recognition; for example, EmotionEngine can be used.

[0713] The terminal is equipped with a device that analyzes the user's emotions through voice, facial expressions, and text input. This emotional data is sent to a server where data calculations are performed according to the terms and conditions. Advanced algorithms are used in the data calculations to identify childcare facility information that the user has shown interest in and to individually adjust how it is displayed.

[0714] For example, when a family is searching for a childcare facility, EmotionEngine detects the child's beaming smile, determines that the displayed facility is appealing, adds it to the server's recommendation list, and enhances the display. As a result, users are constantly presented with interesting facility information in a dynamic way, making it easier to plan visits.

[0715] As a concrete example, suppose a user is using their smartphone to select childcare facilities to visit on the weekend. In this system, suggestions for facilities that the user has expressed positive feelings about are provided, and information that is likely to pique their interest is displayed preferentially. Through a prompt such as "What kind of facility would your child enjoy?", the AI ​​model can generate even more refined suggestions.

[0716] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0717] Step 1:

[0718] The device receives user voice, facial expressions, or text input. EmotionEngine uses this input data to analyze emotions. Specifically, it analyzes voice waveforms and facial imagery to determine emotional states such as joy, surprise, and sadness. The output of this process is a tag for the determined emotion.

[0719] Step 2:

[0720] The server receives emotion tags sent from the terminal. Based on these emotion tags, an algorithm within the server optimizes facility information to reflect the user's emotional state. Facility information matching the emotion tags is extracted and organized from the facility database, and a recommendation list is generated. This list is then output.

[0721] Step 3:

[0722] The server sends the generated recommendation list to the user's terminal and instructs it to individually adjust the display order and content. The input here is the recommendation list generated in the previous step, and the output is the specific display command for that list. The server uses data visualization techniques to prioritize displaying the information most relevant to the user.

[0723] Step 4:

[0724] The user views the adjusted childcare facility information displayed on the device and selects the facilities that interest them. At this point, the device sends the user's selection information back to the server as feedback. The server receives the user's selection input and uses it to perform further sentiment analysis and accumulate data.

[0725] Step 5:

[0726] The server will use the above feedback to inform future suggestions and tour plans. This data will be saved as a user profile and used to improve the accuracy of recommendations in the future. The output will be recommendations for the next visit based on the predicted user experience.

[0727] 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.

[0728] 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 those described above. 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 shown 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.

[0729] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0730] 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.

[0731] 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.

[0732] 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.

[0733] 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.

[0734] 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.

[0735] 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."

[0736] 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.

[0737] 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.

[0738] 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.

[0739] 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.

[0740] 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.

[0741] 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.

[0742] 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.

[0743] 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.

[0744] 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.

[0745] 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.

[0746] 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.

[0747] 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.

[0748] The following is further disclosed regarding the embodiments described above.

[0749] (Claim 1)

[0750] A method for automatically collecting information on childcare facilities,

[0751] A means of detecting missing information from collected data and automatically making inquiries,

[0752] A method for automatically scheduling visits to childcare facilities based on conditions specified by the user,

[0753] A means of regularly checking and updating the availability of childcare facilities,

[0754] A means of integrating and displaying information from multiple childcare facilities in a user-friendly format,

[0755] A system that includes this.

[0756] (Claim 2)

[0757] The system according to claim 1, which recommends the most suitable childcare facility to a user based on specific conditions from among childcare facility information.

[0758] (Claim 3)

[0759] The system according to claim 1, which automatically completes reservations for visits to childcare facilities via an online reservation system.

[0760] "Example 1"

[0761] (Claim 1)

[0762] A means of automatically collecting information on childcare facilities using an information processing device,

[0763] A means of detecting missing information from the collected information and automatically making inquiries via electronic communication,

[0764] A method for automatically completing a reservation for a visit to a childcare facility through an online reservation function based on conditions specified by the user,

[0765] A means of regularly checking the availability of childcare facilities via a communication network and updating the data,

[0766] A means of visually organizing and providing integrated childcare facility information on a display terminal,

[0767] A system that includes this.

[0768] (Claim 2)

[0769] The system according to claim 1, which recommends the most suitable childcare facility to a user based on specific criteria from childcare facility information.

[0770] (Claim 3)

[0771] The system according to claim 1, which automatically makes a reservation via an information processing device on a specified date based on instructions from the user.

[0772] "Application Example 1"

[0773] (Claim 1)

[0774] A method for automatically collecting information on childcare facilities,

[0775] A means of detecting missing information from collected data and automatically making inquiries,

[0776] A method for automatically scheduling visits to childcare facilities based on conditions specified by the user,

[0777] A means of regularly checking and updating the availability of childcare facilities,

[0778] A means of integrating and displaying information from multiple childcare facilities in a user-friendly format,

[0779] A means of suggesting childcare facilities suitable for the user via a home device that accepts voice recognition or touch panel input,

[0780] A method for home devices to check the latest information and available dates for visits to childcare facilities via the internet and to automatically make reservations,

[0781] A system that includes this.

[0782] (Claim 2)

[0783] The system according to claim 1, which recommends the most suitable childcare facility to a user based on specific conditions from among childcare facility information and provides it through interaction with a home device.

[0784] (Claim 3)

[0785] The system according to claim 1, which allows users to complete a reservation for a visit to a childcare facility using an online system via a home device.

[0786] "Example 2 of combining an emotion engine"

[0787] (Claim 1)

[0788] A method for automatically collecting information on childcare facilities,

[0789] A means for storing the collected information in a storage means,

[0790] A means of detecting user emotions from voice, facial expressions, and text input,

[0791] A means of analyzing and recording detected emotion data,

[0792] A means of recommending facilities based on analyzed emotional data,

[0793] A means of adjusting the display order of information according to the user's emotional state,

[0794] A means of proposing tour plans based on user interests,

[0795] A system that includes this.

[0796] (Claim 2)

[0797] The system according to claim 1, which recommends the most suitable facility based on specific conditions and user sentiment data.

[0798] (Claim 3)

[0799] The system according to claim 1, which proposes a tour reservation based on the user's emotions.

[0800] "Application example 2 when combining with an emotional engine"

[0801] (Claim 1)

[0802] A device that automatically organizes data from childcare facilities,

[0803] A device that detects missing information from collected data and automatically initiates inquiries,

[0804] A device that automatically makes reservations for visits to childcare facilities based on conditions specified by the user,

[0805] A device that periodically checks the availability of childcare facilities and updates the data,

[0806] A device that recognizes the emotions of users and adjusts the way childcare facility information is presented based on the analysis results,

[0807] A device that integrates and displays information from multiple childcare facilities in a user-friendly format,

[0808] A system that includes this.

[0809] (Claim 2)

[0810] The system according to claim 1, which recommends the most suitable childcare facility from among childcare facility information based on the emotional state of the user.

[0811] (Claim 3)

[0812] The system according to claim 1, which proposes a tour plan of a childcare facility, focusing on the emotions and interests of the user. [Explanation of symbols]

[0813] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A method for automatically collecting information on childcare facilities, A means of detecting missing information from collected data and automatically making inquiries, A method for automatically scheduling visits to childcare facilities based on conditions specified by the user, A means of regularly checking and updating the availability of childcare facilities, A means of integrating and displaying information from multiple childcare facilities in a user-friendly format, A means of suggesting childcare facilities suitable for the user via a home device that accepts voice recognition or touch panel input, A method for home devices to check the latest information and available dates for visits to childcare facilities via the internet and to automatically make reservations, A system that includes this.

2. The system according to claim 1, which recommends the most suitable childcare facility to a user based on specific conditions from among childcare facility information and provides it through interaction with a home device.

3. The system according to claim 1, which allows users to complete a reservation for a visit to a childcare facility using an online system via a home device.

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