system

Abstract

Provide a system. The system includes: a means for a user to input service plan information and competing service information; means for generating a comparison table based on input service plan information and competitive service information; A means of generating storyboards that visualize the service delivery process based on the comparison table; a means for displaying the generated comparison table and storyboard on a user terminal; A system including:

Description

[Technical Field]

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

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

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

[0004] When planning a service, the idea is often unclear and the content of the plan is difficult to understand. This leads to many questions, inefficient communication, and delays in the progress of the service plan. Furthermore, it is common for employees themselves to be unable to fully understand the overall picture of the service. A method is needed to solve these problems and promote efficient and accurate communication during the service planning process. [Means for solving the problem]

[0005] To solve the above-mentioned problems, the present invention provides the following means: a system including means for inputting service project information and competing service information from a user, means for generating a comparison table based on the input service project information and competing service information, means for generating a storyboard that visualizes the service provision process based on the comparison table, and means for displaying the generated comparison table and storyboard on a user terminal. Furthermore, by providing means for storing the input service project information and competing service information in a database and normalizing the data, consistency of the information is ensured, and by providing means for generating the comparison table and storyboard as HTML or image files and displaying them on a project page, visual and efficient communication is realized during the service planning process.

[0006] "User" refers to a person or corporation that uses the system to input service plan information and competitive service information.

[0007] "Service planning information" refers to detailed data about the planned service, such as the name, functions, price range, and delivery method of the service.

[0008] "Competitive service information" refers to data about services provided by competitors, including the name, functions, price range, and method of provision of the service.

[0009] "Means" refers to a method, apparatus, system, or program for performing a specified function or operation.

[0010] A "comparison table" is a table that organizes information based on service planning information and competing service information according to specific comparison criteria, and displays the information in a way that makes it easy to understand the differences between services at a glance.

[0011] "Storyboard" refers to visual content that illustrates each step in the service delivery process to make it easier to understand visually.

[0012] "Terminal" refers to an electronic device (e.g., PC, tablet, smartphone, etc.) used by a user to input service plan information and competing service information, and to display comparison tables and storyboards.

[0013] "Database" refers to a digital structure that systematically stores service plan information and competitive service information and allows easy retrieval when needed.

[0014] "HTML" is an abbreviation for HyperText Markup Language, and refers to a markup language for writing web pages.

[0015] "Project Page" refers to a specific web page that a User can access to check the progress of a Service Project and view generated results such as comparison charts and storyboards. [Brief explanation of the drawings]

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

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

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

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

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

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

[0022] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), Bluetooth (registered trademark), etc.

[0023] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0024] [First embodiment]

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

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

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

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

[0029] The reception device 38 includes a touch panel 38A, a microphone 38B, and the like, and receives user input. The touch panel 38A detects contact with an indicator (for example, a pen or a finger) to receive user input by the touch of the indicator. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0030] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form of expression that the user 20 can perceive (for example, audio and / or text). The display 40A displays visible information such as text and images in accordance with instructions from the processor 46. The speaker 40B outputs audio in accordance with instructions from the processor 46. The camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0031] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

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

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

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

[0035] In the smart device 14, the processor 46 performs the reception output process. The storage 50 stores a reception output program 60. The reception output program 60 is used in conjunction with the 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

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

[0037] The present invention provides a system for facilitating understanding during service planning and supporting efficient communication. This system allows users to input service planning information and competing service information, automatically generating a comparison table and storyboard, and displaying them on a terminal. A specific embodiment of the system and the processing content of its program are described below.

[0038] First, the user logs in to their device and creates a new service planning project. At this time, an interface is provided for entering service planning information such as the service name, functions, price range, and delivery method, as well as information about competing services. For example, the user enters information about "Service A" such as "online medical consultation," "2,000 yen per month," and "web app." At the same time, the user also enters information about competing "Service B" such as "online medical consultation," "health consultation," "3,000 yen per month," and "web app."

[0039] The server then receives these inputs and stores them in a database. Once stored, the data is normalized, for example, to standardize price range units and convert them into a format that is easier to compare. This data normalization procedure removes errors and inconsistencies and forms the basis for generating comparison tables.

[0040] After the data is normalized, the server generates a comparison table. For example, the information entered by the user about "Service A" and "Service B" is organized into a table based on comparison criteria such as features, price range, and delivery method. This comparison table is generated in HTML format and later displayed on the user's device.

[0041] Next, the server generates a storyboard of the service provision process based on the comparison table. This storyboard illustrates each step, such as user registration, medical appointment, medical consultation, and feedback, and is generated in a visually easy-to-understand format. For example, each step uses a corresponding icon and description to visualize the process flow.

[0042] Finally, the generated comparison table and storyboard are displayed on the user's device. The user can check them, modify the information as necessary, and generate the comparison table and storyboard again. In this way, materials for efficiently progressing service planning are completed.

[0043] The following are specific usage examples.

[0044] Usage example:

[0045] Suppose a user is planning a new online medical consultation service, "Service A." Using a device, the user inputs the service name "Service A," its function "online medical consultation," its price range "2,000 yen per month," and its delivery method "web app." The user also inputs information about a competing service, "Service B," such as "online medical consultation," "health consultation," "3,000 yen per month," and "web app." The server receives this information, stores it in a database, standardizes and normalizes data such as price range, and then generates a comparison table based on the function, price range, and delivery method. Next, a storyboard illustrating the service delivery process is generated and displayed on the device. The user then uses this comparison table and storyboard to create presentation materials and efficiently progress with the service planning.

[0046] In this way, the system of the present invention provides service planning information in a visually and easily understandable format, supporting efficient communication between users and related parties both inside and outside the company.

[0047] The processing flow will be explained below.

[0048] Step 1:

[0049] The user logs in to the terminal and creates a new service planning project. A project creation form is displayed, and the user enters information such as the service name, functions, price range, and delivery method.

[0050] Step 2:

[0051] The device sends the entered service plan information and competing service information to the server via an HTTP request, with the input data packaged in JSON format.

[0052] Step 3:

[0053] The server stores the received data in a database, which contains tables for storing project information, and the user's input data is stored in these tables appropriately.

[0054] Step 4:

[0055] The server normalizes items such as price ranges based on the stored data. For example, even if a price range is entered in different formats such as "2000 yen" or "3000 yen," it converts it into a unified numerical format (2000, 3000, etc.) that is easier to calculate and compare.

[0056] Step 5:

[0057] The server uses the normalized data to generate a comparison table, arranging service plan information and competitive service information along key comparison axes such as functionality, price range, and delivery method, and arranging them in a table format.

[0058] Step 6:

[0059] The server generates a storyboard for the service delivery process based on the data in the comparison table. For example, to illustrate steps such as user registration, medical appointment booking, medical consultation, and feedback, it places icons and explanatory text corresponding to each step and assembles them into a series of visual flows.

[0060] Step 7:

[0061] The server saves the generated comparison tables and storyboards as HTML or image files, which are linked to the user's project page for easy access.

[0062] Step 8:

[0063] The device displays the project page to the user, where the user can view the comparison chart and storyboard generated by the server.

[0064] Step 9:

[0065] The user can review the project page and modify the input information as needed. After modifying the information, if a new generation request is made, the process will be repeated from step 2.

[0066] In this way, a system is realized that efficiently compares service plan information with competitive service information and provides it in a visually easy-to-understand format.

[0067] Example 1

[0068] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0069] In conventional service planning, entering planning information and collecting and comparing competitive information was done manually, which required a lot of time and effort. Furthermore, the information entered was prone to inconsistency and errors, potentially reducing the accuracy of comparisons. Furthermore, it was difficult to visualize planning information, which reduced the efficiency of communication between stakeholders.

[0070] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0071] In this invention, the server includes means for inputting project information and competitive information from a user, means for generating a table based on the input project information and competitive information, and means for generating a storyboard that visualizes the business process based on the table. This enables accurate input, comparison, and visualization of project information and competitive information, and realizes efficient communication between the parties involved.

[0072] A "user" is an entity that uses this system to input service plan information and competitive information.

[0073] "Planning information" is information about new services and products, and is data including the service name, functions, price range, and delivery method.

[0074] "Competitive information" refers to information about competitors or competing products and services, and, like planning information, includes data such as service names, functions, price ranges, and delivery methods.

[0075] "Means" refers to a method or device for realizing a specific function or role.

[0076] The "table" is a format for organizing and displaying comparison data generated based on the project information and competitive information entered by the user.

[0077] A storyboard is a visual document that illustrates steps and flows to visualize a service delivery process.

[0078] A "terminal" is a device that allows a user to access the system and input information, and is a computer device such as a PC or smartphone.

[0079] A "database" is an information management system for storing, managing, and using input information.

[0080] "Normalization" is a process that standardizes the format and units of input data to improve data consistency and comparison accuracy.

[0081] "HTML" is a markup language for constructing web pages and is a format used to display visual data such as comparison tables.

[0082] An "image file" is a digital file format for storing and displaying visual information, and is used for storyboards, etc.

[0083] The present invention is a system that automatically generates a comparison table and storyboard based on project information and competitive information input by a user and displays them on a terminal. The specific technical configuration and usage method of an embodiment of this system are described below.

[0084] First, a user logs in to a device and starts a new planning project. At this time, the user accesses an interface where they can enter planning information such as the service name, functions, price range, and delivery method, as well as competitive information. For example, via a GUI (graphical user interface), they enter information about "Service A" such as "online medical consultation," "2,000 yen per month," and "web app." At the same time, they also enter information about competing "Service B," such as "online medical consultation," "health consultation," "3,000 yen per month," and "web app."

[0085] The entered information is sent to the server, which then stores the information in a database. The database may be a relational database management system such as MySQL (registered trademark) or PostgreSQL.

[0086] After receiving the data, the server normalizes it. For example, it standardizes the expressions for price ranges and feature names. This improves data consistency and comparison accuracy. This process can be performed using programming languages ​​such as Python or Java (registered trademark) as well as data processing libraries such as Pandas or NumPy.

[0087] The server then generates a comparison table based on the normalized data. The comparison table is organized based on features, price range, delivery method, etc., and generated in HTML format. This HTML comparison table is displayed to the user via a GUI that runs on a web browser.

[0088] Furthermore, the server generates a storyboard for the service delivery process based on the comparison table. The storyboard illustrates process steps such as user registration, medical appointment, medical consultation, and feedback, and is generated in a visually easy-to-understand format. For example, corresponding icons and explanatory text are added to each step. Canvas and SVG are used for this, enabling dynamic and interactive visualization.

[0089] Finally, the generated comparison table and storyboard are sent to the user's device, where the user can review them. If necessary, the user can modify the information and generate the comparison table and storyboard again. By repeating this process, visual materials for efficiently progressing service planning are completed.

[0090] Below are some examples of prompts to input to a generative AI model.

[0091] Please generate a comparison table and storyboard for your service proposal. Create the comparison table and storyboard based on the following information:

[0092] (Service A)

[0093] Name: Online Medical Care Service A

[0094] Function: Online medical consultation

[0095] Price range: 2000 yen per month

[0096] Delivery method: Web app

[0097] (Competitor Service B)

[0098] Name: Online Medical Care Service B

[0099] Function: Online medical consultation and health consultation

[0100] Price range: 3,000 yen per month

[0101] Delivery method: Web app

[0102] Based on the above information, please create a comparison table between Service A and competitor Service B, and illustrate the delivery process of each service in the form of a storyboard.

[0103] In this manner, the system can support efficient communication and progress in service planning through accurate input and visualization of planning information and competitive information by users.

[0104] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0105] Step 1:

[0106] The user logs in to the device and inputs service plan information and competing service information. Using the input interface, for example, they input "online medical consultation," "2,000 yen per month," and "web app" as information for "Service A." They also input "online medical consultation," "health consultation," "3,000 yen per month," and "web app" as information for "Service B."

[0107] Input: Information such as service name, features, price range, and delivery method

[0108] Output: Structured planning and competitive information

[0109] Step 2:

[0110] The server receives the information entered by the user and stores it in a database, typically a relational database management system such as MySQL or PostgreSQL. The server stores each data item in the database in the appropriate format.

[0111] Input: Project information and competitive information entered by the user

[0112] Output: Data stored in the database

[0113] Step 3:

[0114] The server normalizes the stored data. Specifically, it standardizes the notation of price ranges and names of identical features. This process can be performed using programming languages ​​such as Python or Java, as well as data processing libraries such as Pandas and NumPy.

[0115] Input: Raw data stored in a database

[0116] Output: Normalized data

[0117] Step 4:

[0118] The server uses the normalized data to generate a table comparing the project information with the competitors' information. The generated table is organized based on dimensions such as features, price range, and delivery method, and is output in HTML format. A template engine (such as Thymeleaf or Jinja2) may be used for this process.

[0119] Input: Normalized data

[0120] Output: Comparison table in HTML format

[0121] Step 5:

[0122] The server generates a storyboard for each service provision process based on the generated comparison table. The storyboard illustrates process steps such as user registration, medical appointment, medical examination, and feedback. Corresponding icons and explanatory text are added to each step, and the storyboard is output in a visually easy-to-understand format. It is often generated dynamically using Canvas or SVG.

[0123] Input: HTML comparison table

[0124] Output: Storyboard in SVG or Canvas format

[0125] Step 6:

[0126] The server sends the generated comparison table and storyboard to the user's device, which receives the data and displays it on a web browser. The user can then review the data, modify the information as necessary, and generate the comparison table and storyboard again.

[0127] Input: Generated comparison table and storyboard

[0128] Output: Visual material displayed on the device

[0129] The system's processing flow allows users to efficiently input, manage, and compare service planning information, and to use visual materials based on that information.

[0130] (Application example 1)

[0131] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0132] The present invention relates to a system that facilitates the input of information and the generation of comparison tables and storyboards when planning services. It also aims to solve the problem of improving the efficiency of customer service and product explanations in brick-and-mortar stores, enabling staff to quickly refer to information when providing optimal services to customers in real time using smart devices.

[0133] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0134] In this invention, the server includes means for inputting service plan information and competing service information from a user, means for generating a comparison table based on the input service plan information and competing service information, means for generating a storyboard that visualizes the service provision process based on the comparison table, means for displaying the generated comparison table and storyboard on a user terminal, and means for displaying information on a smart device for normalizing and displaying data. This enables staff at a physical store to visually present the comparison information and service provision process to customers in real time using the smart device, enabling efficient and prompt customer service.

[0135] "Means for the user to input service planning information and competing service information" refers to an interface or device through which the user inputs planning information for a new service or information about competing services.

[0136] "Means for generating a comparison table based on input service plan information and competing service information" refers to algorithms or software that automatically create a comparison table based on input data.

[0137] "Means for generating a storyboard that visualizes the service provision process based on a comparison table" refers to a mechanism for creating a storyboard that visually shows the flow of service provision by referring to the generated comparison table.

[0138] "Means for displaying the generated comparison table and storyboard on a user terminal" refers to a mechanism for displaying the generated results on a user terminal (e.g., a computer, smartphone, tablet, etc.).

[0139] "Means for displaying information on a smart device to normalize and display data" refers to a mechanism for arranging collected data into a unified format and displaying it on a smart device (e.g., smart glasses, smartwatch, etc.).

[0140] The present invention is a system that supports information input, comparison table generation, and storyboard generation during service planning, and displays the information on a terminal in a visually easy-to-understand format. The system of the present invention is intended to be implemented in a smart device environment, particularly to improve the efficiency of customer service and product explanations in brick-and-mortar stores.

[0141] The main components of the system are as follows:

[0142] 1. Means for users to input service plan information and competing service information

[0143] 2. A means for generating a comparison table based on input service plan information and competitive service information

[0144] 3. A means of generating storyboards that visualize the service delivery process based on comparison tables

[0145] 4. A method for displaying the generated comparison table and storyboard on the user's device

[0146] 5. A means of displaying information on smart devices to normalize and display data

[0147] System program processing explanation

[0148] Hardware and software used

[0149] The system uses smart devices such as smart glasses (e.g., Google® Glass®, Microsoft® HoloLens®). The software includes the following components:

[0150] Database Access: For example, we use databases such as Amazon RDS and MySQL to store service planning information and competitive service information.

[0151] Data normalization: A Python-based script is used to align pricing and feature information into a uniform format.

[0152] Comparison table generation: Use a library (e.g., Pandas, BeautifulSoup, etc.) to generate comparison tables in HTML or image format.

[0153] Storyboard generation: Use tools (e.g., matplotlib, Graphviz) to visualize each step.

[0154] System operation explanation

[0155] 1. User Action:

[0156] Users use their smart devices to input service plan information and competing service information via a web interface or dedicated app.

[0157] 2. Data collection and normalization:

[0158] The server stores the input information in a centralized database and normalizes the data. This process standardizes data in different formats and makes subsequent processing easier. For example, it standardizes the units of price information and classifies function information.

[0159] 3. Generate a comparison table:

[0160] The server generates a comparison table based on the normalized data, comparing the service plan information with the competing service information. This comparison table is generated in HTML or image format for easy visual understanding.

[0161] 4. Storyboard generation:

[0162] Based on the comparison table, the server automatically generates a storyboard that visualizes the service delivery process, illustrating each step, such as user registration, medical appointment, medical consultation, and feedback, using icons and explanatory text.

[0163] 5. Display on smart devices:

[0164] The generated comparison charts and storyboards are sent to smart devices and displayed in real time, streamlining product explanations and customer service in physical stores.

[0165] Specific examples

[0166] For example, if a user is considering planning a new service called "online medical consultation," they can use their device to input the service name, functions, price range, and delivery method. Information on a competing service, "Service B," is also entered at the same time, and after the data is normalized, a comparison table and storyboard are generated and displayed on the user's smart glasses. This allows staff to instantly provide customers with information comparing the service with competing products, enabling efficient support.

[0167] Example prompt sentence:

[0168] "Your task is to generate a program that compares product prices and features and displays them on the smart glasses. You will also need to visualize the product introduction process in an easy-to-understand storyboard. Your task is to retrieve product information from a database, standardize price information, and display it in HTML format."

[0169] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0170] Step 1:

[0171] Users use their smart devices to input service plan information and competing service information. The input form includes fields for service name, features, price range, delivery method, etc. This information is entered into the user interface through a web interface or a dedicated app. The input data is then sent to the server.

[0172] Example input:

[0173] Service Name: Service A

[0174] Function: Online medical consultation

[0175] Price range: 2,000 yen per month

[0176] Delivery method: Web app

[0177] Step 2:

[0178] The server saves the service plan information and competing service information sent by the user in a database. The database stores detailed information about each service and is used for subsequent comparison processing. After the input data has been saved, it is normalized. For example, the units of price information are standardized and function information is categorized.

[0179] Database storage example:

[0180] {

[0181] "Service A": {"Feature": "Online medical consultation", "Price range": 2000, "Provision method": "Web / app"},

[0182] "Service B": {"Features": "Online medical consultation, health consultation", "Price range": 3000, "Provision method": "Web / app"}

[0183] }

[0184] Step 3:

[0185] The server generates a comparison table based on the saved service plan information and competing service information. After normalizing the data, it organizes it based on comparison criteria such as the features, price range, and delivery method of each service, and generates the comparison table in HTML or image format.

[0186] An example of the generated comparison table:

[0187]

[0188]

[0189]

[0190]

[0191]

[0192] item Service A Service B function Online medical consultation Online medical consultation, health consultation Price range 2000 yen 3,000 yen How to provide Web App Web App

[0193] Step 4:

[0194] The server generates a storyboard that visualizes the service provision process based on the comparison table. The storyboard visually shows each step, such as user registration, medical appointment, medical examination, and feedback, using icons and explanatory text. The generated storyboard is output as an image file or in HTML format.

[0195] Example of a generated storyboard:

[0196] [User Registration] -> [Medical Appointment] -> [Medical Visit] -> [Feedback]

[0197] Step 5:

[0198] The server then sends the generated comparison table and storyboard to the user's smart device, which displays them in real time. The smart device could be a Google Glass or Microsoft HoloLens, and staff could refer to the displayed information when interacting with customers. This allows users to use their smart device to quickly and efficiently explain the comparison information and service delivery process to customers.

[0199] An example of the information displayed:

[0200] Comparison table HTML and storyboard images

[0201] This series of processes allows the user to respond to customers while obtaining information in real time, enabling efficient service provision.

[0202] Furthermore, an emotion engine that estimates the user's emotion may be combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion.

[0203] The present invention is a system for facilitating understanding when planning a service and supporting efficient communication. This system generates a comparison table and storyboard based on service planning information and competing service information entered by the user, and further incorporates an emotion engine that recognizes the user's emotions. Specific embodiments of the system and the processing contents of its program are described below.

[0204] First, the user logs in to their device and creates a new service planning project. A project creation form is displayed, and the user enters information such as the service name, functions, price range, and delivery method. For example, if the user is planning a new online medical consultation service called "Service A," they would use their device to enter the service name "Service A," the function "online medical consultation," the price range "2,000 yen per month," and the delivery method "web app." They would also enter information about competing service "Service B," such as "online medical consultation," "health consultation," "3,000 yen per month," and "web app."

[0205] Next, the device sends the entered service plan information and competing service information to the server. The transmission is done via an HTTP request, and the input data is packaged in JSON format. The server receives this input information and stores it in a database. The stored data is normalized, for example, by standardizing price range units and converting it into a format that makes it easier to compare.

[0206] After the data is normalized, the server generates a comparison table. For example, the information entered by the user about "Service A" and "Service B" is organized into a table based on comparison criteria such as features, price range, and delivery method. This comparison table is generated in HTML format and later displayed on the user's device.

[0207] Next, the server generates a storyboard of the service provision process based on the comparison table. This storyboard illustrates each step, such as user registration, medical appointment, medical consultation, and feedback, in a visually easy-to-understand format. For example, the process flow is visualized using corresponding icons and explanatory text for each step.

[0208] A distinctive feature of this system is the introduction of an emotion engine. The emotion engine has the ability to analyze facial expressions and voice when a user enters information and recognize their emotions. For example, it can analyze whether the user is tense or relaxed. Based on this recognized emotion, the content displayed in the comparison table or storyboard is customized. For example, if the user is feeling stressed, the system will change it to a simpler, easier-to-understand format. In addition, the user's emotions recognized by the emotion engine are recorded as feedback and will be used as a reference when creating future service plans.

[0209] Finally, the generated comparison table and storyboard are displayed on the user's device. The user can check them, modify the information as necessary, and generate the comparison table and storyboard again. In this way, materials for efficiently progressing service planning are completed.

[0210] Usage example:

[0211] Suppose a user is planning a new online medical consultation service, "Service A." Using a device, the user inputs the service name "Service A," its function "online medical consultation," its price range "2,000 yen per month," and its delivery method "web app." Information about a competing service, "Service B," is also input, including "online medical consultation," "health consultation," "3,000 yen per month," and "web app." The server receives this information, stores it in a database, standardizes and normalizes data such as price range, and then generates a comparison table based on the function, price range, and delivery method. Next, a storyboard illustrating the service delivery process is generated and displayed on the device. The user then uses this comparison table and storyboard to create presentation materials and efficiently progress with service planning.

[0212] In this way, the system of the present invention provides service planning information in a visually easy-to-understand format, and by analyzing and reflecting the user's emotions, it provides more personalized support, thereby realizing efficient communication between the user and internal and external parties.

[0213] The processing flow will be explained below.

[0214] Step 1:

[0215] The user logs in to the terminal and creates a new service planning project. A project creation form is displayed, and the user enters information such as the service name, functions, price range, and delivery method.

[0216] Step 2:

[0217] The device sends the entered service plan information and competing service information to the server via an HTTP request, with the input data packaged in JSON format.

[0218] Step 3:

[0219] The server stores the received data in a database, which contains tables for storing project information, and the user's input data is stored in these tables appropriately.

[0220] Step 4:

[0221] The server normalizes items such as price ranges based on the stored data. For example, even if a price range is entered in different formats such as "2000 yen" or "3000 yen," it is converted into a unified numerical format (2000, 3000, etc.) that is easy to calculate and compare.

[0222] Step 5:

[0223] The server uses the normalized data to generate a comparison table, arranging service plan information and competitive service information along key comparison axes such as functionality, price range, and delivery method, and arranging them in a table format.

[0224] Step 6:

[0225] The server generates a storyboard for the service delivery process based on the data in the comparison table. For example, to illustrate steps such as user registration, medical appointment booking, medical consultation, and feedback, it places icons and explanatory text corresponding to each step and assembles them into a series of visual flows.

[0226] Step 7:

[0227] The emotion engine analyzes the user's facial expressions and voice to recognize the emotion at the time of input. For example, it captures the user's face with a camera and determines emotions such as smile, anger, or anxiety.

[0228] Step 8:

[0229] The server receives the analysis results of the emotion engine and customizes the content of the comparison chart or storyboard based on the user's emotions. For example, if the user is feeling stressed, the information display will be simplified and the design will be changed to a more visually appealing one.

[0230] Step 9:

[0231] The server saves the generated comparison tables and storyboards as HTML or image files, which are linked to the user's project page for easy access.

[0232] Step 10:

[0233] The device displays the project page to the user, where the user can view the comparison chart and storyboard generated by the server.

[0234] Step 11:

[0235] The user can review the project page and modify the input information as needed. After modifying the information, if a new generation request is made, the process will be repeated from step 2.

[0236] In this way, a system is realized that efficiently compares service plan information with competitive service information, and provides the information in a visually easy-to-understand format that reflects the user's feelings.

[0237] Example 2

[0238] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0239] In conventional service planning, the process of inputting, comparing, and visualizing information is cumbersome, making it difficult for users to efficiently proceed with service planning. Furthermore, because the user's feelings are not taken into consideration, they often cause stress and inconvenience. This leads to problems such as a decline in the quality and efficiency of service planning, which ultimately affects the success of the service.

[0240] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for inputting service project information and competing service information from a user, means for generating a comparison table based on the input service project information and competing service information, means for generating a storyboard that visualizes the service provision process based on the comparison table, means for displaying the generated comparison table and storyboard on a user terminal, and emotion recognition means for recognizing the user's emotions and adjusting the display content. This allows the user to efficiently input service project information and confirm it in an easy-to-understand format through comparison and visualization, and makes it possible to provide information according to the user's emotions through the emotion recognition means.

[0241] A "user" is a person who uses the system to input and operate service plan information.

[0242] "Service planning information" refers to detailed information about the new service, such as its name, functions, price range, and delivery method.

[0243] "Competitive service information" refers to detailed information about existing services that compete with the target new service, such as their names, functions, price ranges, and delivery methods.

[0244] A "terminal" is a digital device that allows a user to input service plan information and competing service information, and to display the generated comparison table and storyboard.

[0245] "Server" means a central computing system for receiving, processing, and storing data submitted by users.

[0246] A "comparison table" is a table that organizes each item in an easy-to-compare format based on the input service plan information and competing service information.

[0247] A "storyboard" is a diagram that visualizes the service delivery process based on a comparison table.

[0248] "Emotion recognition means" refers to technology that analyzes a user's facial expressions, voice, etc. to recognize the user's emotional state.

[0249] A "database" is a system for systematically storing and managing data on a server.

[0250] "Normalization" is the process of unifying and making consistent data of different formats and units.

[0251] This invention is a system that provides efficient information processing and personalized support for service planning. This system is composed of a process in which a "server" generates a "comparison table" and a "storyboard" based on "service planning information" and "competitive service information" input by a "user," and displays them on a "terminal." Furthermore, the system uses an "emotion recognition means" to analyze the user's emotions and customize the display content based on the results.

[0252] First, a user logs in to their device and starts creating a new service planning project. The user enters the following service planning information through the project creation form. For example, if they are planning an online medical consultation service called "Service A," they would enter the following information:

[0253] Service Name: "Service A"

[0254] Function: "Online medical consultation"

[0255] Price range: "2000 yen per month"

[0256] Delivery method: "Web app"

[0257] Also enter the information for the competing "Service B":

[0258] Functions: "Online medical consultation", "Health consultation"

[0259] Price range: "3,000 yen per month"

[0260] Delivery method: "Web app"

[0261] The terminal sends the entered information to the server via an HTTP request. The data is packaged in JSON format. The server stores the received data in a database and then normalizes it. For example, it standardizes the units of price ranges. This ensures data consistency and makes comparisons easier.

[0262] Based on the normalized data, the server generates a comparison table. For example, it organizes information about "Service A" and "Service B" based on comparison criteria such as features, price range, and delivery method, and summarizes them in a table format. This comparison table is created in HTML format and displayed on the user's device.

[0263] Next, the server generates a storyboard for the service delivery process based on the comparison table. This storyboard visually represents each step, such as user registration, medical appointment, medical visit, and feedback. For example, the "User Registration" step displays an icon for the account creation screen and a brief description.

[0264] This is where emotion recognition comes in. When a user inputs information, the device collects the user's facial expressions and voice and sends them to the server. The server's emotion engine analyzes them and recognizes the user's emotions (e.g., tension or relaxation). Based on the analysis results, the server customizes the content of the comparison table or storyboard display. For example, if the user is feeling stressed, the system will change the layout to a simpler, more intuitive one.

[0265] Finally, the generated comparison table and storyboard are displayed on the device, where the user can check and modify them as necessary. By repeating this cycle, users can efficiently proceed with service planning.

[0266] Additionally, the generative AI model can provide specific advice and suggestions based on the user's project using the following example prompt:

[0267] Please enter a proposal for your online medical consultation service. Include information such as the service name, features, price range, and delivery method. Also, please include information on competing services.

[0268] As a result, the system of the present invention can reduce the burden on the user and support efficient and personalized service planning.

[0269] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0270] System processing steps

[0271] Step 1:

[0272] A user logs in to a device and creates a new service planning project. The user enters service planning information such as the service name, features, price range, and delivery method into the project creation form. In particular, if the user is planning an online medical consultation service called "Service A," the user would enter the following information:

[0273] Service Name: "Service A"

[0274] Function: "Online medical consultation"

[0275] Price range: "2000 yen per month"

[0276] Delivery method: "Web app"

[0277] The user also enters the information for the conflicting "Service B":

[0278] Functions: "Online medical consultation", "Health consultation"

[0279] Price range: "3,000 yen per month"

[0280] Delivery method: "Web app"

[0281] Processing input: service plan information, competing service information

[0282] Processing output: Input data

[0283] Step 2:

[0284] The device sends the information entered by the user to the server via an HTTP request, with the data packaged in JSON format.

[0285] Processing Input: Input Data

[0286] Processing output: JSON format data

[0287] Step 3:

[0288] The server parses the received JSON data and stores it in the database, checking that each data field is in the correct format and logging any errors.

[0289] Specifically, the server parses the received data and breaks it down into fields for service name, function, price range, and delivery method, then executes an insert query to the database.

[0290] Processing input: JSON format data

[0291] Processing output: Results saved to the database

[0292] Step 4:

[0293] The server performs normalization on the stored data. This is the process of standardizing data of different formats and units. For example, it standardizes the units of price ranges (e.g., converting 2000 yen to 2,000 yen). It also normalizes text data and removes duplicate data.

[0294] Specifically, we apply an algorithm that uses regular expressions to modify price fields in bulk.

[0295] Processing Input: Raw data in the database

[0296] Processing output: Normalized data

[0297] Step 5:

[0298] The server generates a comparison table based on the normalized data. This table organizes the features, price ranges, and delivery methods of Service A and Service B based on the comparison criteria. The generated comparison table is created in HTML format and is styled to be easy for users to view.

[0299] Specifically, it uses a template engine to dynamically generate HTML.

[0300] Processing Input: Normalized Data

[0301] Processing output: Comparison table in HTML format

[0302] Step 6:

[0303] Based on the comparison table, the server generates a storyboard of the service delivery process, which visually represents each step, such as user registration, appointment booking, consultation, feedback, etc. The process is visually enhanced using icons and explanatory text.

[0304] Specifically, illustrations are created using libraries that generate graphics in SVG or PNG format.

[0305] Processing Input: Comparison Table in HTML Format

[0306] Processing output: Storyboard in graphic format

[0307] Step 7:

[0308] The device collects the user's facial expressions and voice and transmits them to a server, particularly using video and audio capture devices to collect emotional data.

[0309] Processing input: User's facial expression, voice data

[0310] Processing output: Emotion data

[0311] Step 8:

[0312] The server's emotion engine analyzes the received data and recognizes the user's emotions, for example, determining whether the user is tense or relaxed, using machine learning algorithms.

[0313] Processing input: Emotion data

[0314] Processing output: Sentiment analysis results

[0315] Step 9:

[0316] The server customizes the display of comparison tables and storyboards based on the results of emotion analysis. If the user is feeling stressed, the layout will be changed to a simpler, more intuitive one.

[0317] Specifically, the layout is dynamically changed using CSS and JavaScript (registered trademark).

[0318] Processing input: Sentiment analysis results, comparison table in HTML format, storyboard in graphic format

[0319] Processing output: customized comparison table, customized storyboard

[0320] Step 10:

[0321] The comparison table and storyboard generated by the server are displayed on the terminal, where the user can check them, modify the information as necessary, and generate the comparison table and storyboard again.

[0322] Processing Input: Customized Comparison Table, Customized Storyboard

[0323] Processing output: what is displayed on the user's terminal

[0324] By repeating the above steps, the user can proceed with an efficient and personalized service plan.

[0325] (Application example 2)

[0326] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart device 14 will be referred to as a "terminal."

[0327] Conventional service planning support systems have the problem that it is difficult to visually understand and compare planning information, and are particularly inefficient when comparing with multiple competing services. In addition, they do not display information appropriately according to the user's emotional state, which increases the burden on the user and makes it difficult to achieve efficient communication.

[0328] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for inputting service project information and competing service information from a user, means for generating a comparison table based on the input service project information and competing service information, means for generating a storyboard that visualizes the service provision process based on the comparison table, means for displaying the generated comparison table and storyboard on a user terminal, an emotion engine that analyzes the user's emotions, and means for optimizing display content based on the analyzed emotions. This enables efficient comparison and visualization of project information and further enables personalized display based on the user's emotional state, thereby reducing the user's burden and supporting efficient communication.

[0329] "Service plan information" is information about a new service planned by the user, and includes the service name, functions, price range, and method of provision.

[0330] "Competitive service information" is information about existing services that compete with the service planned by the user, and includes the name, function, price range, and method of provision of the competing service.

[0331] A "comparison table" is a table-form document generated to compare each information item based on service plan information and competing service information.

[0332] A "storyboard" is a diagram that visually represents the service provision process, visually representing each step such as user registration, reservation, service provision, and feedback.

[0333] The "emotion engine" is a function that analyzes the user's emotions from their facial expressions and voice, and optimizes the system's display content based on that.

[0334] The "means for generating a comparison table" is a function for creating a comparison table based on service plan information and competitive service information.

[0335] The "means for generating a storyboard" is a function for creating a storyboard, which is a visual representation of the service provision process, based on the comparison table.

[0336] The "optimization means" is a function that adjusts the system's display content based on the user's emotions analyzed by the emotion engine, optimizing the user's experience.

[0337] The present invention is a system for efficiently supporting users in planning services, and includes the following specific procedures and implementation methods.

[0338] First, a user logs in to a device (e.g., a PC or smartphone) and creates a new service plan project. The user enters the following information as the service plan information:

[0339] Service Name

[0340] function

[0341] Price range

[0342] How to provide

[0343] Enter information about competing services as well, entering similar information for each item. For example, if you are planning a new online medical consultation service called "Service A," you would use a terminal to enter the service name "Service A," function "online medical consultation," price range "2,000 yen per month," and delivery method "web app." You would also enter information about competing service "Service B," such as "online medical consultation," "health consultation," "3,000 yen per month," and "web app."

[0344] The device then sends the input information to the server via an HTTP request, packaging the input data in JSON format. The server receives the input information and stores it in a database. The stored data undergoes normalization, for example, standardizing price range units and converting it into a format that makes it easier to compare.

[0345] After the data is normalized, the server generates a comparison table. For example, the information entered by the user about "Service A" and "Service B" is organized into a table based on comparison criteria such as features, price range, and delivery method. This comparison table is generated in HTML format and later displayed on the user's device.

[0346] Next, the server generates a storyboard of the service provision process based on the comparison table. This storyboard illustrates each step, such as user registration, medical appointment, medical consultation, and feedback, in a visually easy-to-understand format. For example, the process flow is visualized using corresponding icons and explanatory text for each step.

[0347] This system also incorporates an emotion engine. The emotion engine has the ability to analyze facial expressions and voice when a user enters information and recognize their emotions. For example, it can analyze whether the user is nervous or relaxed. Based on this recognized emotion, the content displayed in the comparison table or storyboard is customized. For example, if the user is feeling stressed, the system will change it to a simpler, easier-to-understand format. Furthermore, the user's emotions recognized by the emotion engine are recorded as feedback and will be used as a reference when creating future service plans.

[0348] Finally, the generated comparison table and storyboard are displayed on the user's terminal, where the user can check them, modify the information as necessary, and generate the comparison table and storyboard again.

[0349] For example, use the following prompt:

[0350] Service Name: "Video Stream A"

[0351] Feature: "High-definition streaming"

[0352] Price range: "1500 yen per month"

[0353] Delivery method: "Web app"

[0354] Competitor service: "Video Stream B"

[0355] This enables efficient comparison and visualization of project information, and also enables personalized display based on the user's emotional state, reducing the burden on the user and supporting efficient communication.

[0356] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0357] Step 1:

[0358] A user logs in to a device and creates a new service planning project. At this time, they enter service planning information such as the service name, functions, price range, and delivery method. Information about competing services is also entered in the same way. For example, the service name is "Video Stream A," the function is "high-resolution streaming," the price range is "1,500 yen per month," the delivery method is "web app," and the competing service is "Video Stream B."

[0359] Step 2:

[0360] The device packages the entered service plan information and competing service information in JSON format and sends it to the server via an HTTP request. The server receives this and saves it in a database. The received data is stored in the database in a format corresponding to the service name, function, price range, and delivery method.

[0361] Step 3:

[0362] The server normalizes the stored data, for example, standardizing the units of price ranges and the delivery method. The normalized data is then prepared for the next step, which is to generate a comparison table. Here, the input data is converted into a uniform format to maintain data consistency.

[0363] Step 4:

[0364] The server generates a comparison table containing service plan information and competing service information based on the normalized data. For example, an HTML table with rows and columns containing service names, features, price ranges, and delivery methods is generated. The generated comparison table is then organized and formatted to make it easier to understand visually.

[0365] Step 5:

[0366] The server generates a storyboard based on the comparison table to visualize the service delivery process. For example, each step, such as user registration, reservation, service delivery, and feedback, is illustrated with icons and explanatory text. The storyboard is generated to visually represent the details of each step and their dynamic flow.

[0367] Step 6:

[0368] When a user inputs information into the device, the device sends the user's facial expressions and voice to the emotion engine. The emotion engine analyzes them and determines the user's emotions. For example, it analyzes whether the user is relaxed or stressed. The analysis results are sent to the server.

[0369] Step 7:

[0370] The server optimizes the display of the comparison table and storyboard based on the analyzed emotion data. For example, if the user is feeling stressed, the server changes the display to a simpler, more understandable format. The server reformats the comparison table and storyboard into a simpler format to adapt to the user's emotion.

[0371] Step 8:

[0372] The optimized comparison table and storyboard are displayed on the user's device. The information displayed on the device is presented to the user in a visually organized format. The user can review the information, modify it as necessary, and then generate the comparison table and storyboard again.

[0373] This system enables efficient comparison and visualization of service planning information, and also realizes personalized display based on the user's emotional state. This specific operation reduces the user's burden and supports efficient communication.

[0374] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0375] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search engine).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0376] In the above embodiment, an example in which the specific process is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific process may be performed by the smart device 14.

[0377] [Second embodiment]

[0378] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0379] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0380] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0381] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0382] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0383] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0384] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0385] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0386] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific 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.

[0387] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0388] In the smart glasses 214, the reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0389] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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."

[0390] The present invention provides a system for facilitating understanding during service planning and supporting efficient communication. This system allows users to input service planning information and competing service information, automatically generating a comparison table and storyboard, and displaying them on a terminal. A specific embodiment of the system and the processing content of its program are described below.

[0391] First, the user logs in to their device and creates a new service planning project. At this time, an interface is provided for entering service planning information such as the service name, functions, price range, and delivery method, as well as information about competing services. For example, the user enters information about "Service A" such as "online medical consultation," "2,000 yen per month," and "web app." At the same time, the user also enters information about competing "Service B" such as "online medical consultation," "health consultation," "3,000 yen per month," and "web app."

[0392] The server then receives these inputs and stores them in a database. Once stored, the data is normalized, for example, to standardize price range units and convert them into a format that is easier to compare. This data normalization procedure removes errors and inconsistencies and forms the basis for generating comparison tables.

[0393] After the data is normalized, the server generates a comparison table. For example, the information entered by the user about "Service A" and "Service B" is organized into a table based on comparison criteria such as features, price range, and delivery method. This comparison table is generated in HTML format and later displayed on the user's device.

[0394] Next, the server generates a storyboard of the service provision process based on the comparison table. This storyboard illustrates each step, such as user registration, medical appointment, medical consultation, and feedback, and is generated in a visually easy-to-understand format. For example, each step uses a corresponding icon and description to visualize the process flow.

[0395] Finally, the generated comparison table and storyboard are displayed on the user's device. The user can check them, modify the information as necessary, and generate the comparison table and storyboard again. In this way, materials for efficiently progressing service planning are completed.

[0396] The following are specific usage examples.

[0397] Usage example:

[0398] Suppose a user is planning a new online medical consultation service, "Service A." Using a device, the user inputs the service name "Service A," its function "online medical consultation," its price range "2,000 yen per month," and its delivery method "web app." The user also inputs information about a competing service, "Service B," such as "online medical consultation," "health consultation," "3,000 yen per month," and "web app." The server receives this information, stores it in a database, standardizes and normalizes data such as price range, and then generates a comparison table based on the function, price range, and delivery method. Next, a storyboard illustrating the service delivery process is generated and displayed on the device. The user then uses this comparison table and storyboard to create presentation materials and efficiently progress with the service planning.

[0399] In this way, the system of the present invention provides service planning information in a visually and easily understandable format, supporting efficient communication between users and related parties both inside and outside the company.

[0400] The processing flow will be explained below.

[0401] Step 1:

[0402] The user logs in to the terminal and creates a new service planning project. A project creation form is displayed, and the user enters information such as the service name, functions, price range, and delivery method.

[0403] Step 2:

[0404] The device sends the entered service plan information and competing service information to the server via an HTTP request, with the input data packaged in JSON format.

[0405] Step 3:

[0406] The server stores the received data in a database, which contains tables for storing project information, and the user's input data is stored in these tables appropriately.

[0407] Step 4:

[0408] The server normalizes items such as price ranges based on the stored data. For example, even if a price range is entered in different formats such as "2000 yen" or "3000 yen," it converts it into a unified numerical format (2000, 3000, etc.) that is easier to calculate and compare.

[0409] Step 5:

[0410] The server uses the normalized data to generate a comparison table, arranging service plan information and competitive service information along key comparison axes such as functionality, price range, and delivery method, and arranging them in a table format.

[0411] Step 6:

[0412] The server generates a storyboard for the service delivery process based on the data in the comparison table. For example, to illustrate steps such as user registration, medical appointment booking, medical consultation, and feedback, it places icons and explanatory text corresponding to each step and assembles them into a series of visual flows.

[0413] Step 7:

[0414] The server saves the generated comparison tables and storyboards as HTML or image files, which are linked to the user's project page for easy access.

[0415] Step 8:

[0416] The device displays the project page to the user, where the user can view the comparison chart and storyboard generated by the server.

[0417] Step 9:

[0418] The user can review the project page and modify the input information as needed. After modifying the information, if a new generation request is made, the process will be repeated from step 2.

[0419] In this way, a system is realized that efficiently compares service plan information with competitive service information and provides it in a visually easy-to-understand format.

[0420] Example 1

[0421] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0422] In conventional service planning, entering planning information and collecting and comparing competitive information was done manually, which required a lot of time and effort. Furthermore, the information entered was prone to inconsistency and errors, potentially reducing the accuracy of comparisons. Furthermore, it was difficult to visualize planning information, which reduced the efficiency of communication between stakeholders.

[0423] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0424] In this invention, the server includes means for inputting project information and competitive information from a user, means for generating a table based on the input project information and competitive information, and means for generating a storyboard that visualizes the business process based on the table. This enables accurate input, comparison, and visualization of project information and competitive information, and realizes efficient communication between the parties involved.

[0425] A "user" is an entity that uses this system to input service plan information and competitive information.

[0426] "Planning information" is information about new services and products, and is data including the service name, functions, price range, and delivery method.

[0427] "Competitive information" refers to information about competitors or competing products and services, and, like planning information, includes data such as service names, functions, price ranges, and delivery methods.

[0428] "Means" refers to a method or device for realizing a specific function or role.

[0429] The "table" is a format for organizing and displaying comparison data generated based on the project information and competitive information entered by the user.

[0430] A storyboard is a visual document that illustrates steps and flows to visualize a service delivery process.

[0431] A "terminal" is a device that allows a user to access the system and input information, and is a computer device such as a PC or smartphone.

[0432] A "database" is an information management system for storing, managing, and using input information.

[0433] "Normalization" is a process that standardizes the format and units of input data to improve data consistency and comparison accuracy.

[0434] "HTML" is a markup language for constructing web pages and is a format used to display visual data such as comparison tables.

[0435] An "image file" is a digital file format for storing and displaying visual information, and is used for storyboards, etc.

[0436] The present invention is a system that automatically generates a comparison table and storyboard based on project information and competitive information input by a user and displays them on a terminal. The specific technical configuration and usage method of an embodiment of this system are described below.

[0437] First, a user logs in to a device and starts a new planning project. At this time, the user accesses an interface where they can enter planning information such as the service name, functions, price range, and delivery method, as well as competitive information. For example, via a GUI (graphical user interface), they enter information about "Service A" such as "online medical consultation," "2,000 yen per month," and "web app." At the same time, they also enter information about competing "Service B," such as "online medical consultation," "health consultation," "3,000 yen per month," and "web app."

[0438] The entered information is sent to the server, which stores it in a database. The database is typically a relational database management system such as MySQL or PostgreSQL.

[0439] After receiving the data, the server normalizes it. For example, it standardizes the expressions for price ranges and feature names. This improves data consistency and comparison accuracy. This process can be performed using programming languages ​​such as Python and Java, as well as data processing libraries such as Pandas and NumPy.

[0440] The server then generates a comparison table based on the normalized data. The comparison table is organized based on features, price range, delivery method, etc., and generated in HTML format. This HTML comparison table is displayed to the user via a GUI that runs on a web browser.

[0441] Furthermore, the server generates a storyboard for the service delivery process based on the comparison table. The storyboard illustrates process steps such as user registration, medical appointment, medical consultation, and feedback, and is generated in a visually easy-to-understand format. For example, corresponding icons and explanatory text are added to each step. Canvas and SVG are used for this, enabling dynamic and interactive visualization.

[0442] Finally, the generated comparison table and storyboard are sent to the user's device, where the user can review them. If necessary, the user can modify the information and generate the comparison table and storyboard again. By repeating this process, visual materials for efficiently progressing service planning are completed.

[0443] Below are some examples of prompts to input to a generative AI model.

[0444] Please generate a comparison table and storyboard for your service proposal. Create the comparison table and storyboard based on the following information:

[0445] (Service A)

[0446] Name: Online Medical Care Service A

[0447] Function: Online medical consultation

[0448] Price range: 2000 yen per month

[0449] Delivery method: Web app

[0450] (Competitor Service B)

[0451] Name: Online Medical Care Service B

[0452] Function: Online medical consultation and health consultation

[0453] Price range: 3,000 yen per month

[0454] Delivery method: Web app

[0455] Based on the above information, please create a comparison table between Service A and competitor Service B, and illustrate the delivery process of each service in the form of a storyboard.

[0456] In this manner, the system can support efficient communication and progress in service planning through accurate input and visualization of planning information and competitive information by users.

[0457] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0458] Step 1:

[0459] The user logs in to the device and inputs service plan information and competing service information. Using the input interface, for example, they input "online medical consultation," "2,000 yen per month," and "web app" as information for "Service A." They also input "online medical consultation," "health consultation," "3,000 yen per month," and "web app" as information for "Service B."

[0460] Input: Information such as service name, features, price range, and delivery method

[0461] Output: Structured planning and competitive information

[0462] Step 2:

[0463] The server receives the information entered by the user and stores it in a database, typically a relational database management system such as MySQL or PostgreSQL. The server stores each data item in the database in the appropriate format.

[0464] Input: Project information and competitive information entered by the user

[0465] Output: Data stored in the database

[0466] Step 3:

[0467] The server normalizes the stored data. Specifically, it standardizes the notation of price ranges and names of identical features. This process can be performed using programming languages ​​such as Python or Java, as well as data processing libraries such as Pandas and NumPy.

[0468] Input: Raw data stored in a database

[0469] Output: Normalized data

[0470] Step 4:

[0471] The server uses the normalized data to generate a table comparing the project information with the competitors' information. The generated table is organized based on dimensions such as features, price range, and delivery method, and is output in HTML format. A template engine (such as Thymeleaf or Jinja2) may be used for this process.

[0472] Input: Normalized data

[0473] Output: Comparison table in HTML format

[0474] Step 5:

[0475] The server generates a storyboard for each service provision process based on the generated comparison table. The storyboard illustrates process steps such as user registration, medical appointment, medical examination, and feedback. Corresponding icons and explanatory text are added to each step, and the storyboard is output in a visually easy-to-understand format. It is often generated dynamically using Canvas or SVG.

[0476] Input: HTML comparison table

[0477] Output: Storyboard in SVG or Canvas format

[0478] Step 6:

[0479] The server sends the generated comparison table and storyboard to the user's device, which receives the data and displays it on a web browser. The user can then review the data, modify the information as necessary, and generate the comparison table and storyboard again.

[0480] Input: Generated comparison table and storyboard

[0481] Output: Visual material displayed on the device

[0482] The system's processing flow allows users to efficiently input, manage, and compare service planning information, and to use visual materials based on that information.

[0483] (Application example 1)

[0484] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0485] The present invention relates to a system that facilitates the input of information and the generation of comparison tables and storyboards when planning services. It also aims to solve the problem of improving the efficiency of customer service and product explanations in brick-and-mortar stores, enabling staff to quickly refer to information when providing optimal services to customers in real time using smart devices.

[0486] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0487] In this invention, the server includes means for inputting service plan information and competing service information from a user, means for generating a comparison table based on the input service plan information and competing service information, means for generating a storyboard that visualizes the service provision process based on the comparison table, means for displaying the generated comparison table and storyboard on a user terminal, and means for displaying information on a smart device for normalizing and displaying data. This enables staff at a physical store to visually present the comparison information and service provision process to customers in real time using the smart device, enabling efficient and prompt customer service.

[0488] "Means for the user to input service planning information and competing service information" refers to an interface or device through which the user inputs planning information for a new service or information about competing services.

[0489] "Means for generating a comparison table based on input service plan information and competing service information" refers to algorithms or software that automatically create a comparison table based on input data.

[0490] "Means for generating a storyboard that visualizes the service provision process based on a comparison table" refers to a mechanism for creating a storyboard that visually shows the flow of service provision by referring to the generated comparison table.

[0491] "Means for displaying the generated comparison table and storyboard on a user terminal" refers to a mechanism for displaying the generated results on a user terminal (e.g., a computer, smartphone, tablet, etc.).

[0492] "Means for displaying information on a smart device to normalize and display data" refers to a mechanism for arranging collected data into a unified format and displaying it on a smart device (e.g., smart glasses, smartwatch, etc.).

[0493] The present invention is a system that supports information input, comparison table generation, and storyboard generation during service planning, and displays the information on a terminal in a visually easy-to-understand format. The system of the present invention is intended to be implemented in a smart device environment, particularly to improve the efficiency of customer service and product explanations in brick-and-mortar stores.

[0494] The main components of the system are as follows:

[0495] 1. Means for users to input service plan information and competing service information

[0496] 2. A means for generating a comparison table based on input service plan information and competitive service information

[0497] 3. A means of generating storyboards that visualize the service delivery process based on comparison tables

[0498] 4. A method for displaying the generated comparison table and storyboard on the user's device

[0499] 5. A means of displaying information on smart devices to normalize and display data

[0500] System program processing explanation

[0501] Hardware and software used

[0502] The system uses smart devices such as smart glasses (e.g., Google Glass, Microsoft HoloLens). The software includes the following components:

[0503] Database Access: For example, we use databases such as Amazon RDS and MySQL to store service planning information and competitive service information.

[0504] Data normalization: A Python-based script is used to align pricing and feature information into a uniform format.

[0505] Comparison table generation: Use a library (e.g., Pandas, BeautifulSoup, etc.) to generate comparison tables in HTML or image format.

[0506] Storyboard generation: Use tools (e.g., matplotlib, Graphviz) to visualize each step.

[0507] System operation explanation

[0508] 1. User Action:

[0509] Users use their smart devices to input service plan information and competing service information via a web interface or dedicated app.

[0510] 2. Data collection and normalization:

[0511] The server stores the input information in a centralized database and normalizes the data. This process standardizes data in different formats and makes subsequent processing easier. For example, it standardizes the units of price information and classifies function information.

[0512] 3. Generate a comparison table:

[0513] The server generates a comparison table based on the normalized data, comparing the service plan information with the competing service information. This comparison table is generated in HTML or image format for easy visual understanding.

[0514] 4. Storyboard generation:

[0515] Based on the comparison table, the server automatically generates a storyboard that visualizes the service delivery process, illustrating each step, such as user registration, medical appointment, medical consultation, and feedback, using icons and explanatory text.

[0516] 5. Display on smart devices:

[0517] The generated comparison charts and storyboards are sent to smart devices and displayed in real time, streamlining product explanations and customer service in physical stores.

[0518] Specific examples

[0519] For example, if a user is considering planning a new service called "online medical consultation," they can use their device to input the service name, functions, price range, and delivery method. Information on a competing service, "Service B," is also entered at the same time, and after the data is normalized, a comparison table and storyboard are generated and displayed on the user's smart glasses. This allows staff to instantly provide customers with information comparing the service with competing products, enabling efficient support.

[0520] Example prompt sentence:

[0521] "Your task is to generate a program that compares product prices and features and displays them on the smart glasses. You will also need to visualize the product introduction process in an easy-to-understand storyboard. Your task is to retrieve product information from a database, standardize price information, and display it in HTML format."

[0522] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0523] Step 1:

[0524] Users use their smart devices to input service plan information and competing service information. The input form includes fields for service name, features, price range, delivery method, etc. This information is entered into the user interface through a web interface or a dedicated app. The input data is then sent to the server.

[0525] Example input:

[0526] Service Name: Service A

[0527] Function: Online medical consultation

[0528] Price range: 2,000 yen per month

[0529] Delivery method: Web app

[0530] Step 2:

[0531] The server saves the service plan information and competing service information sent by the user in a database. The database stores detailed information about each service and is used for subsequent comparison processing. After the input data has been saved, it is normalized. For example, the units of price information are standardized and function information is categorized.

[0532] Database storage example:

[0533] {

[0534] "Service A": {"Feature": "Online medical consultation", "Price range": 2000, "Provision method": "Web / app"},

[0535] "Service B": {"Features": "Online medical consultation, health consultation", "Price range": 3000, "Provision method": "Web / app"}

[0536] }

[0537] Step 3:

[0538] The server generates a comparison table based on the saved service plan information and competing service information. After normalizing the data, it organizes it based on comparison criteria such as the features, price range, and delivery method of each service, and generates the comparison table in HTML or image format.

[0539] An example of the generated comparison table:

[0540]

[0541]

[0542]

[0543]

[0544]

[0545] item Service A Service B function Online medical consultation Online medical consultation, health consultation Price range 2000 yen 3,000 yen How to provide Web App Web App

[0546] Step 4:

[0547] The server generates a storyboard that visualizes the service provision process based on the comparison table. The storyboard visually shows each step, such as user registration, medical appointment, medical examination, and feedback, using icons and explanatory text. The generated storyboard is output as an image file or in HTML format.

[0548] Example of a generated storyboard:

[0549] [User Registration] -> [Medical Appointment] -> [Medical Visit] -> [Feedback]

[0550] Step 5:

[0551] The server then sends the generated comparison table and storyboard to the user's smart device, which displays them in real time. The smart device could be a Google Glass or Microsoft HoloLens, and staff could refer to the displayed information when interacting with customers. This allows users to use their smart device to quickly and efficiently explain the comparison information and service delivery process to customers.

[0552] An example of the information displayed:

[0553] Comparison table HTML and storyboard images

[0554] This series of processes allows the user to respond to customers while obtaining information in real time, enabling efficient service provision.

[0555] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0556] The present invention is a system for facilitating understanding when planning a service and supporting efficient communication. This system generates a comparison table and storyboard based on service planning information and competing service information entered by the user, and further incorporates an emotion engine that recognizes the user's emotions. Specific embodiments of the system and the processing contents of its program are described below.

[0557] First, the user logs in to their device and creates a new service planning project. A project creation form is displayed, and the user enters information such as the service name, functions, price range, and delivery method. For example, if the user is planning a new online medical consultation service called "Service A," they would use their device to enter the service name "Service A," the function "online medical consultation," the price range "2,000 yen per month," and the delivery method "web app." They would also enter information about competing service "Service B," such as "online medical consultation," "health consultation," "3,000 yen per month," and "web app."

[0558] Next, the device sends the entered service plan information and competing service information to the server. The transmission is done via an HTTP request, and the input data is packaged in JSON format. The server receives this input information and stores it in a database. The stored data is normalized, for example, by standardizing price range units and converting it into a format that makes it easier to compare.

[0559] After the data is normalized, the server generates a comparison table. For example, the information entered by the user about "Service A" and "Service B" is organized into a table based on comparison criteria such as features, price range, and delivery method. This comparison table is generated in HTML format and later displayed on the user's device.

[0560] Next, the server generates a storyboard of the service provision process based on the comparison table. This storyboard illustrates each step, such as user registration, medical appointment, medical consultation, and feedback, in a visually easy-to-understand format. For example, the process flow is visualized using corresponding icons and explanatory text for each step.

[0561] A distinctive feature of this system is the introduction of an emotion engine. The emotion engine has the ability to analyze facial expressions and voice when a user enters information and recognize their emotions. For example, it can analyze whether the user is tense or relaxed. Based on this recognized emotion, the content displayed in the comparison table or storyboard is customized. For example, if the user is feeling stressed, the system will change it to a simpler, easier-to-understand format. In addition, the user's emotions recognized by the emotion engine are recorded as feedback and will be used as a reference when creating future service plans.

[0562] Finally, the generated comparison table and storyboard are displayed on the user's device. The user can check them, modify the information as necessary, and generate the comparison table and storyboard again. In this way, materials for efficiently progressing service planning are completed.

[0563] Usage example:

[0564] Suppose a user is planning a new online medical consultation service, "Service A." Using a device, the user inputs the service name "Service A," its function "online medical consultation," its price range "2,000 yen per month," and its delivery method "web app." Information about a competing service, "Service B," is also input, including "online medical consultation," "health consultation," "3,000 yen per month," and "web app." The server receives this information, stores it in a database, standardizes and normalizes data such as price range, and then generates a comparison table based on the function, price range, and delivery method. Next, a storyboard illustrating the service delivery process is generated and displayed on the device. The user then uses this comparison table and storyboard to create presentation materials and efficiently progress with service planning.

[0565] In this way, the system of the present invention provides service planning information in a visually easy-to-understand format, and by analyzing and reflecting the user's emotions, it provides more personalized support, thereby realizing efficient communication between the user and internal and external parties.

[0566] The processing flow will be explained below.

[0567] Step 1:

[0568] The user logs in to the terminal and creates a new service planning project. A project creation form is displayed, and the user enters information such as the service name, functions, price range, and delivery method.

[0569] Step 2:

[0570] The device sends the entered service plan information and competing service information to the server via an HTTP request, with the input data packaged in JSON format.

[0571] Step 3:

[0572] The server stores the received data in a database, which contains tables for storing project information, and the user's input data is stored in these tables appropriately.

[0573] Step 4:

[0574] The server normalizes items such as price ranges based on the stored data. For example, even if a price range is entered in different formats such as "2000 yen" or "3000 yen," it is converted into a unified numerical format (2000, 3000, etc.) that is easy to calculate and compare.

[0575] Step 5:

[0576] The server uses the normalized data to generate a comparison table, arranging service plan information and competitive service information along key comparison axes such as functionality, price range, and delivery method, and arranging them in a table format.

[0577] Step 6:

[0578] The server generates a storyboard for the service delivery process based on the data in the comparison table. For example, to illustrate steps such as user registration, medical appointment booking, medical consultation, and feedback, it places icons and explanatory text corresponding to each step and assembles them into a series of visual flows.

[0579] Step 7:

[0580] The emotion engine analyzes the user's facial expressions and voice to recognize the emotion at the time of input. For example, it captures the user's face with a camera and determines emotions such as smile, anger, or anxiety.

[0581] Step 8:

[0582] The server receives the analysis results of the emotion engine and customizes the content of the comparison chart or storyboard based on the user's emotions. For example, if the user is feeling stressed, the information display will be simplified and the design will be changed to a more visually appealing one.

[0583] Step 9:

[0584] The server saves the generated comparison tables and storyboards as HTML or image files, which are linked to the user's project page for easy access.

[0585] Step 10:

[0586] The device displays the project page to the user, where the user can view the comparison chart and storyboard generated by the server.

[0587] Step 11:

[0588] The user can review the project page and modify the input information as needed. After modifying the information, if a new generation request is made, the process will be repeated from step 2.

[0589] In this way, a system is realized that efficiently compares service plan information with competitive service information, and provides the information in a visually easy-to-understand format that reflects the user's feelings.

[0590] Example 2

[0591] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0592] In conventional service planning, the process of inputting, comparing, and visualizing information is cumbersome, making it difficult for users to efficiently proceed with service planning. Furthermore, because the user's feelings are not taken into consideration, they often cause stress and inconvenience. This leads to problems such as a decline in the quality and efficiency of service planning, which ultimately affects the success of the service.

[0593] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for inputting service project information and competing service information from a user, means for generating a comparison table based on the input service project information and competing service information, means for generating a storyboard that visualizes the service provision process based on the comparison table, means for displaying the generated comparison table and storyboard on a user terminal, and emotion recognition means for recognizing the user's emotions and adjusting the display content. This allows the user to efficiently input service project information and confirm it in an easy-to-understand format through comparison and visualization, and makes it possible to provide information according to the user's emotions through the emotion recognition means.

[0594] A "user" is a person who uses the system to input and operate service plan information.

[0595] "Service planning information" refers to detailed information about the new service, such as its name, functions, price range, and delivery method.

[0596] "Competitive service information" refers to detailed information about existing services that compete with the target new service, such as their names, functions, price ranges, and delivery methods.

[0597] A "terminal" is a digital device that allows a user to input service plan information and competing service information, and to display the generated comparison table and storyboard.

[0598] "Server" means a central computing system for receiving, processing, and storing data submitted by users.

[0599] A "comparison table" is a table that organizes each item in an easy-to-compare format based on the input service plan information and competing service information.

[0600] A "storyboard" is a diagram that visualizes the service delivery process based on a comparison table.

[0601] "Emotion recognition means" refers to technology that analyzes a user's facial expressions, voice, etc. to recognize the user's emotional state.

[0602] A "database" is a system for systematically storing and managing data on a server.

[0603] "Normalization" is the process of unifying and making consistent data of different formats and units.

[0604] This invention is a system that provides efficient information processing and personalized support for service planning. This system is composed of a process in which a "server" generates a "comparison table" and a "storyboard" based on "service planning information" and "competitive service information" input by a "user," and displays them on a "terminal." Furthermore, the system uses an "emotion recognition means" to analyze the user's emotions and customize the display content based on the results.

[0605] First, a user logs in to their device and starts creating a new service planning project. The user enters the following service planning information through the project creation form. For example, if they are planning an online medical consultation service called "Service A," they would enter the following information:

[0606] Service Name: "Service A"

[0607] Function: "Online medical consultation"

[0608] Price range: "2000 yen per month"

[0609] Delivery method: "Web app"

[0610] Also enter the information for the competing "Service B":

[0611] Functions: "Online medical consultation", "Health consultation"

[0612] Price range: "3,000 yen per month"

[0613] Delivery method: "Web app"

[0614] The terminal sends the entered information to the server via an HTTP request. The data is packaged in JSON format. The server stores the received data in a database and then normalizes it. For example, it standardizes the units of price ranges. This ensures data consistency and makes comparisons easier.

[0615] Based on the normalized data, the server generates a comparison table. For example, it organizes information about "Service A" and "Service B" based on comparison criteria such as features, price range, and delivery method, and summarizes them in a table format. This comparison table is created in HTML format and displayed on the user's device.

[0616] Next, the server generates a storyboard for the service delivery process based on the comparison table. This storyboard visually represents each step, such as user registration, medical appointment, medical visit, and feedback. For example, the "User Registration" step displays an icon for the account creation screen and a brief description.

[0617] This is where emotion recognition comes in. When a user inputs information, the device collects the user's facial expressions and voice and sends them to the server. The server's emotion engine analyzes them and recognizes the user's emotions (e.g., tension or relaxation). Based on the analysis results, the server customizes the content of the comparison table or storyboard display. For example, if the user is feeling stressed, the system will change the layout to a simpler, more intuitive one.

[0618] Finally, the generated comparison table and storyboard are displayed on the device, where the user can check and modify them as necessary. By repeating this cycle, users can efficiently proceed with service planning.

[0619] Additionally, the generative AI model can provide specific advice and suggestions based on the user's project using the following example prompt:

[0620] Please enter a proposal for your online medical consultation service. Include information such as the service name, features, price range, and delivery method. Also, please include information on competing services.

[0621] As a result, the system of the present invention can reduce the burden on the user and support efficient and personalized service planning.

[0622] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0623] System processing steps

[0624] Step 1:

[0625] A user logs in to a device and creates a new service planning project. The user enters service planning information such as the service name, features, price range, and delivery method into the project creation form. In particular, if the user is planning an online medical consultation service called "Service A," the user would enter the following information:

[0626] Service Name: "Service A"

[0627] Function: "Online medical consultation"

[0628] Price range: "2000 yen per month"

[0629] Delivery method: "Web app"

[0630] The user also enters the information for the conflicting "Service B":

[0631] Functions: "Online medical consultation", "Health consultation"

[0632] Price range: "3,000 yen per month"

[0633] Delivery method: "Web app"

[0634] Processing input: service plan information, competing service information

[0635] Processing output: Input data

[0636] Step 2:

[0637] The device sends the information entered by the user to the server via an HTTP request, with the data packaged in JSON format.

[0638] Processing Input: Input Data

[0639] Processing output: JSON format data

[0640] Step 3:

[0641] The server parses the received JSON data and stores it in the database, checking that each data field is in the correct format and logging any errors.

[0642] Specifically, the server parses the received data and breaks it down into fields for service name, function, price range, and delivery method, then executes an insert query to the database.

[0643] Processing input: JSON format data

[0644] Processing output: Results saved to the database

[0645] Step 4:

[0646] The server performs normalization on the stored data. This is the process of standardizing data of different formats and units. For example, it standardizes the units of price ranges (e.g., converting 2000 yen to 2,000 yen). It also normalizes text data and removes duplicate data.

[0647] Specifically, we apply an algorithm that uses regular expressions to modify price fields in bulk.

[0648] Processing Input: Raw data in the database

[0649] Processing output: Normalized data

[0650] Step 5:

[0651] The server generates a comparison table based on the normalized data. This table organizes the features, price ranges, and delivery methods of Service A and Service B based on the comparison criteria. The generated comparison table is created in HTML format and is styled to be easy for users to view.

[0652] Specifically, it uses a template engine to dynamically generate HTML.

[0653] Processing Input: Normalized Data

[0654] Processing output: Comparison table in HTML format

[0655] Step 6:

[0656] Based on the comparison table, the server generates a storyboard of the service delivery process, which visually represents each step, such as user registration, appointment booking, consultation, feedback, etc. The process is visually enhanced using icons and explanatory text.

[0657] Specifically, illustrations are created using libraries that generate graphics in SVG or PNG format.

[0658] Processing Input: Comparison Table in HTML Format

[0659] Processing output: Storyboard in graphic format

[0660] Step 7:

[0661] The device collects the user's facial expressions and voice and transmits them to a server, particularly using video and audio capture devices to collect emotional data.

[0662] Processing input: User's facial expression, voice data

[0663] Processing output: Emotion data

[0664] Step 8:

[0665] The server's emotion engine analyzes the received data and recognizes the user's emotions, for example, determining whether the user is tense or relaxed, using machine learning algorithms.

[0666] Processing input: Emotion data

[0667] Processing output: Sentiment analysis results

[0668] Step 9:

[0669] The server customizes the display of comparison tables and storyboards based on the results of emotion analysis. If the user is feeling stressed, the layout will be changed to a simpler, more intuitive one.

[0670] Specifically, the layout is dynamically changed using CSS and JavaScript.

[0671] Processing input: Sentiment analysis results, comparison table in HTML format, storyboard in graphic format

[0672] Processing output: customized comparison table, customized storyboard

[0673] Step 10:

[0674] The comparison table and storyboard generated by the server are displayed on the terminal, where the user can check them, modify the information as necessary, and generate the comparison table and storyboard again.

[0675] Processing Input: Customized Comparison Table, Customized Storyboard

[0676] Processing output: what is displayed on the user's terminal

[0677] By repeating the above steps, the user can proceed with an efficient and personalized service plan.

[0678] (Application example 2)

[0679] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the smart glasses 214 will be referred to as a "terminal."

[0680] Conventional service planning support systems have the problem that it is difficult to visually understand and compare planning information, and are particularly inefficient when comparing with multiple competing services. In addition, they do not display information appropriately according to the user's emotional state, which increases the burden on the user and makes it difficult to achieve efficient communication.

[0681] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for inputting service project information and competing service information from a user, means for generating a comparison table based on the input service project information and competing service information, means for generating a storyboard that visualizes the service provision process based on the comparison table, means for displaying the generated comparison table and storyboard on a user terminal, an emotion engine that analyzes the user's emotions, and means for optimizing display content based on the analyzed emotions. This enables efficient comparison and visualization of project information and further enables personalized display based on the user's emotional state, thereby reducing the user's burden and supporting efficient communication.

[0682] "Service plan information" is information about a new service planned by the user, and includes the service name, functions, price range, and method of provision.

[0683] "Competitive service information" is information about existing services that compete with the service planned by the user, and includes the name, function, price range, and method of provision of the competing service.

[0684] A "comparison table" is a table-form document generated to compare each information item based on service plan information and competing service information.

[0685] A "storyboard" is a diagram that visually represents the service provision process, visually representing each step such as user registration, reservation, service provision, and feedback.

[0686] The "emotion engine" is a function that analyzes the user's emotions from their facial expressions and voice, and optimizes the system's display content based on that.

[0687] The "means for generating a comparison table" is a function for creating a comparison table based on service plan information and competitive service information.

[0688] The "means for generating a storyboard" is a function for creating a storyboard, which is a visual representation of the service provision process, based on the comparison table.

[0689] The "optimization means" is a function that adjusts the system's display content based on the user's emotions analyzed by the emotion engine, optimizing the user's experience.

[0690] The present invention is a system for efficiently supporting users in planning services, and includes the following specific procedures and implementation methods.

[0691] First, a user logs in to a device (e.g., a PC or smartphone) and creates a new service plan project. The user enters the following information as the service plan information:

[0692] Service Name

[0693] function

[0694] Price range

[0695] How to provide

[0696] Enter information about competing services as well, entering similar information for each item. For example, if you are planning a new online medical consultation service called "Service A," you would use a terminal to enter the service name "Service A," function "online medical consultation," price range "2,000 yen per month," and delivery method "web app." You would also enter information about competing service "Service B," such as "online medical consultation," "health consultation," "3,000 yen per month," and "web app."

[0697] The device then sends the input information to the server via an HTTP request, packaging the input data in JSON format. The server receives the input information and stores it in a database. The stored data undergoes normalization, for example, standardizing price range units and converting it into a format that makes it easier to compare.

[0698] After the data is normalized, the server generates a comparison table. For example, the information entered by the user about "Service A" and "Service B" is organized into a table based on comparison criteria such as features, price range, and delivery method. This comparison table is generated in HTML format and later displayed on the user's device.

[0699] Next, the server generates a storyboard of the service provision process based on the comparison table. This storyboard illustrates each step, such as user registration, medical appointment, medical consultation, and feedback, in a visually easy-to-understand format. For example, the process flow is visualized using corresponding icons and explanatory text for each step.

[0700] This system also incorporates an emotion engine. The emotion engine has the ability to analyze facial expressions and voice when a user enters information and recognize their emotions. For example, it can analyze whether the user is nervous or relaxed. Based on this recognized emotion, the content displayed in the comparison table or storyboard is customized. For example, if the user is feeling stressed, the system will change it to a simpler, easier-to-understand format. Furthermore, the user's emotions recognized by the emotion engine are recorded as feedback and will be used as a reference when creating future service plans.

[0701] Finally, the generated comparison table and storyboard are displayed on the user's terminal, where the user can check them, modify the information as necessary, and generate the comparison table and storyboard again.

[0702] For example, use the following prompt:

[0703] Service Name: "Video Stream A"

[0704] Feature: "High-definition streaming"

[0705] Price range: "1500 yen per month"

[0706] Delivery method: "Web app"

[0707] Competitor service: "Video Stream B"

[0708] This enables efficient comparison and visualization of project information, and also enables personalized display based on the user's emotional state, reducing the burden on the user and supporting efficient communication.

[0709] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0710] Step 1:

[0711] A user logs in to a device and creates a new service planning project. At this time, they enter service planning information such as the service name, functions, price range, and delivery method. Information about competing services is also entered in the same way. For example, the service name is "Video Stream A," the function is "high-resolution streaming," the price range is "1,500 yen per month," the delivery method is "web app," and the competing service is "Video Stream B."

[0712] Step 2:

[0713] The device packages the entered service plan information and competing service information in JSON format and sends it to the server via an HTTP request. The server receives this and saves it in a database. The received data is stored in the database in a format corresponding to the service name, function, price range, and delivery method.

[0714] Step 3:

[0715] The server normalizes the stored data, for example, standardizing the units of price ranges and the delivery method. The normalized data is then prepared for the next step, which is to generate a comparison table. Here, the input data is converted into a uniform format to maintain data consistency.

[0716] Step 4:

[0717] The server generates a comparison table containing service plan information and competing service information based on the normalized data. For example, an HTML table with rows and columns containing service names, features, price ranges, and delivery methods is generated. The generated comparison table is then organized and formatted to make it easier to understand visually.

[0718] Step 5:

[0719] The server generates a storyboard based on the comparison table to visualize the service delivery process. For example, each step, such as user registration, reservation, service delivery, and feedback, is illustrated with icons and explanatory text. The storyboard is generated to visually represent the details of each step and their dynamic flow.

[0720] Step 6:

[0721] When a user inputs information into the device, the device sends the user's facial expressions and voice to the emotion engine. The emotion engine analyzes them and determines the user's emotions. For example, it analyzes whether the user is relaxed or stressed. The analysis results are sent to the server.

[0722] Step 7:

[0723] The server optimizes the display of the comparison table and storyboard based on the analyzed emotion data. For example, if the user is feeling stressed, the server changes the display to a simpler, more understandable format. The server reformats the comparison table and storyboard into a simpler format to adapt to the user's emotion.

[0724] Step 8:

[0725] The optimized comparison table and storyboard are displayed on the user's device. The information displayed on the device is presented to the user in a visually organized format. The user can review the information, modify it as necessary, and then generate the comparison table and storyboard again.

[0726] This system enables efficient comparison and visualization of service planning information, and also realizes personalized display based on the user's emotional state. This specific operation reduces the user's burden and supports efficient communication.

[0727] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0728] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0729] In the above embodiment, an example in which the specific processing is performed by the data processing device 12 has been given, but the technology of the present disclosure is not limited to this, and the specific processing may be performed by the smart glasses 214.

[0730] [Third embodiment]

[0731] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0732] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0733] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0734] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0735] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[0736] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0737] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0738] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0739] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific 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.

[0740] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0741] In the headset type terminal 314, a reception output process is performed by the processor 46. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[0742] Next, a description will be given of the identification process performed by the identification processing unit 290 of the data processing device 12. 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."

[0743] The present invention provides a system for facilitating understanding during service planning and supporting efficient communication. This system allows users to input service planning information and competing service information, automatically generating a comparison table and storyboard, and displaying them on a terminal. A specific embodiment of the system and the processing content of its program are described below.

[0744] First, the user logs in to their device and creates a new service planning project. At this time, an interface is provided for entering service planning information such as the service name, functions, price range, and delivery method, as well as information about competing services. For example, the user enters information about "Service A" such as "online medical consultation," "2,000 yen per month," and "web app." At the same time, the user also enters information about competing "Service B" such as "online medical consultation," "health consultation," "3,000 yen per month," and "web app."

[0745] The server then receives these inputs and stores them in a database. Once stored, the data is normalized, for example, to standardize price range units and convert them into a format that is easier to compare. This data normalization procedure removes errors and inconsistencies and forms the basis for generating comparison tables.

[0746] After the data is normalized, the server generates a comparison table. For example, the information entered by the user about "Service A" and "Service B" is organized into a table based on comparison criteria such as features, price range, and delivery method. This comparison table is generated in HTML format and later displayed on the user's device.

[0747] Next, the server generates a storyboard of the service provision process based on the comparison table. This storyboard illustrates each step, such as user registration, medical appointment, medical consultation, and feedback, and is generated in a visually easy-to-understand format. For example, each step uses a corresponding icon and description to visualize the process flow.

[0748] Finally, the generated comparison table and storyboard are displayed on the user's device. The user can check them, modify the information as necessary, and generate the comparison table and storyboard again. In this way, materials for efficiently progressing service planning are completed.

[0749] The following are specific usage examples.

[0750] Usage example:

[0751] Suppose a user is planning a new online medical consultation service, "Service A." Using a device, the user inputs the service name "Service A," its function "online medical consultation," its price range "2,000 yen per month," and its delivery method "web app." The user also inputs information about a competing service, "Service B," such as "online medical consultation," "health consultation," "3,000 yen per month," and "web app." The server receives this information, stores it in a database, standardizes and normalizes data such as price range, and then generates a comparison table based on the function, price range, and delivery method. Next, a storyboard illustrating the service delivery process is generated and displayed on the device. The user then uses this comparison table and storyboard to create presentation materials and efficiently progress with the service planning.

[0752] In this way, the system of the present invention provides service planning information in a visually and easily understandable format, supporting efficient communication between users and related parties both inside and outside the company.

[0753] The processing flow will be explained below.

[0754] Step 1:

[0755] The user logs in to the terminal and creates a new service planning project. A project creation form is displayed, and the user enters information such as the service name, functions, price range, and delivery method.

[0756] Step 2:

[0757] The device sends the entered service plan information and competing service information to the server via an HTTP request, with the input data packaged in JSON format.

[0758] Step 3:

[0759] The server stores the received data in a database, which contains tables for storing project information, and the user's input data is stored in these tables appropriately.

[0760] Step 4:

[0761] The server normalizes items such as price ranges based on the stored data. For example, even if a price range is entered in different formats such as "2000 yen" or "3000 yen," it converts it into a unified numerical format (2000, 3000, etc.) that is easier to calculate and compare.

[0762] Step 5:

[0763] The server uses the normalized data to generate a comparison table, arranging service plan information and competitive service information along key comparison axes such as functionality, price range, and delivery method, and arranging them in a table format.

[0764] Step 6:

[0765] The server generates a storyboard for the service delivery process based on the data in the comparison table. For example, to illustrate steps such as user registration, medical appointment booking, medical consultation, and feedback, it places icons and explanatory text corresponding to each step and assembles them into a series of visual flows.

[0766] Step 7:

[0767] The server saves the generated comparison tables and storyboards as HTML or image files, which are linked to the user's project page for easy access.

[0768] Step 8:

[0769] The device displays the project page to the user, where the user can view the comparison chart and storyboard generated by the server.

[0770] Step 9:

[0771] The user can review the project page and modify the input information as needed. After modifying the information, if a new generation request is made, the process will be repeated from step 2.

[0772] In this way, a system is realized that efficiently compares service plan information with competitive service information and provides it in a visually easy-to-understand format.

[0773] Example 1

[0774] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0775] In conventional service planning, entering planning information and collecting and comparing competitive information was done manually, which required a lot of time and effort. Furthermore, the information entered was prone to inconsistency and errors, potentially reducing the accuracy of comparisons. Furthermore, it was difficult to visualize planning information, which reduced the efficiency of communication between stakeholders.

[0776] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[0777] In this invention, the server includes means for inputting project information and competitive information from a user, means for generating a table based on the input project information and competitive information, and means for generating a storyboard that visualizes the business process based on the table. This enables accurate input, comparison, and visualization of project information and competitive information, and realizes efficient communication between the parties involved.

[0778] A "user" is an entity that uses this system to input service plan information and competitive information.

[0779] "Planning information" is information about new services and products, and is data including the service name, functions, price range, and delivery method.

[0780] "Competitive information" refers to information about competitors or competing products and services, and, like planning information, includes data such as service names, functions, price ranges, and delivery methods.

[0781] "Means" refers to a method or device for realizing a specific function or role.

[0782] The "table" is a format for organizing and displaying comparison data generated based on the project information and competitive information entered by the user.

[0783] A storyboard is a visual document that illustrates steps and flows to visualize a service delivery process.

[0784] A "terminal" is a device that allows a user to access the system and input information, and is a computer device such as a PC or smartphone.

[0785] A "database" is an information management system for storing, managing, and using input information.

[0786] "Normalization" is a process that standardizes the format and units of input data to improve data consistency and comparison accuracy.

[0787] "HTML" is a markup language for constructing web pages and is a format used to display visual data such as comparison tables.

[0788] An "image file" is a digital file format for storing and displaying visual information, and is used for storyboards, etc.

[0789] The present invention is a system that automatically generates a comparison table and storyboard based on project information and competitive information input by a user and displays them on a terminal. The specific technical configuration and usage method of an embodiment of this system are described below.

[0790] First, a user logs in to a device and starts a new planning project. At this time, the user accesses an interface where they can enter planning information such as the service name, functions, price range, and delivery method, as well as competitive information. For example, via a GUI (graphical user interface), they enter information about "Service A" such as "online medical consultation," "2,000 yen per month," and "web app." At the same time, they also enter information about competing "Service B," such as "online medical consultation," "health consultation," "3,000 yen per month," and "web app."

[0791] The entered information is sent to the server, which stores it in a database. The database is typically a relational database management system such as MySQL or PostgreSQL.

[0792] After receiving the data, the server normalizes it. For example, it standardizes the expressions for price ranges and feature names. This improves data consistency and comparison accuracy. This process can be performed using programming languages ​​such as Python and Java, as well as data processing libraries such as Pandas and NumPy.

[0793] The server then generates a comparison table based on the normalized data. The comparison table is organized based on features, price range, delivery method, etc., and generated in HTML format. This HTML comparison table is displayed to the user via a GUI that runs on a web browser.

[0794] Furthermore, the server generates a storyboard for the service delivery process based on the comparison table. The storyboard illustrates process steps such as user registration, medical appointment, medical consultation, and feedback, and is generated in a visually easy-to-understand format. For example, corresponding icons and explanatory text are added to each step. Canvas and SVG are used for this, enabling dynamic and interactive visualization.

[0795] Finally, the generated comparison table and storyboard are sent to the user's device, where the user can review them. If necessary, the user can modify the information and generate the comparison table and storyboard again. By repeating this process, visual materials for efficiently progressing service planning are completed.

[0796] Below are some examples of prompts to input to a generative AI model.

[0797] Please generate a comparison table and storyboard for your service proposal. Create the comparison table and storyboard based on the following information:

[0798] (Service A)

[0799] Name: Online Medical Care Service A

[0800] Function: Online medical consultation

[0801] Price range: 2000 yen per month

[0802] Delivery method: Web app

[0803] (Competitor Service B)

[0804] Name: Online Medical Care Service B

[0805] Function: Online medical consultation and health consultation

[0806] Price range: 3,000 yen per month

[0807] Delivery method: Web app

[0808] Based on the above information, please create a comparison table between Service A and competitor Service B, and illustrate the delivery process of each service in the form of a storyboard.

[0809] In this manner, the system can support efficient communication and progress in service planning through accurate input and visualization of planning information and competitive information by users.

[0810] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0811] Step 1:

[0812] The user logs in to the device and inputs service plan information and competing service information. Using the input interface, for example, they input "online medical consultation," "2,000 yen per month," and "web app" as information for "Service A." They also input "online medical consultation," "health consultation," "3,000 yen per month," and "web app" as information for "Service B."

[0813] Input: Information such as service name, features, price range, and delivery method

[0814] Output: Structured planning and competitive information

[0815] Step 2:

[0816] The server receives the information entered by the user and stores it in a database, typically a relational database management system such as MySQL or PostgreSQL. The server stores each data item in the database in the appropriate format.

[0817] Input: Project information and competitive information entered by the user

[0818] Output: Data stored in the database

[0819] Step 3:

[0820] The server normalizes the stored data. Specifically, it standardizes the notation of price ranges and names of identical features. This process can be performed using programming languages ​​such as Python or Java, as well as data processing libraries such as Pandas and NumPy.

[0821] Input: Raw data stored in a database

[0822] Output: Normalized data

[0823] Step 4:

[0824] The server uses the normalized data to generate a table comparing the project information with the competitors' information. The generated table is organized based on dimensions such as features, price range, and delivery method, and is output in HTML format. A template engine (such as Thymeleaf or Jinja2) may be used for this process.

[0825] Input: Normalized data

[0826] Output: Comparison table in HTML format

[0827] Step 5:

[0828] The server generates a storyboard for each service provision process based on the generated comparison table. The storyboard illustrates process steps such as user registration, medical appointment, medical examination, and feedback. Corresponding icons and explanatory text are added to each step, and the storyboard is output in a visually easy-to-understand format. It is often generated dynamically using Canvas or SVG.

[0829] Input: HTML comparison table

[0830] Output: Storyboard in SVG or Canvas format

[0831] Step 6:

[0832] The server sends the generated comparison table and storyboard to the user's device, which receives the data and displays it on a web browser. The user can then review the data, modify the information as necessary, and generate the comparison table and storyboard again.

[0833] Input: Generated comparison table and storyboard

[0834] Output: Visual material displayed on the device

[0835] The system's processing flow allows users to efficiently input, manage, and compare service planning information, and to use visual materials based on that information.

[0836] (Application example 1)

[0837] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0838] The present invention relates to a system that facilitates the input of information and the generation of comparison tables and storyboards when planning services. It also aims to solve the problem of improving the efficiency of customer service and product explanations in brick-and-mortar stores, enabling staff to quickly refer to information when providing optimal services to customers in real time using smart devices.

[0839] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[0840] In this invention, the server includes means for inputting service plan information and competing service information from a user, means for generating a comparison table based on the input service plan information and competing service information, means for generating a storyboard that visualizes the service provision process based on the comparison table, means for displaying the generated comparison table and storyboard on a user terminal, and means for displaying information on a smart device for normalizing and displaying data. This enables staff at a physical store to visually present the comparison information and service provision process to customers in real time using the smart device, enabling efficient and prompt customer service.

[0841] "Means for the user to input service planning information and competing service information" refers to an interface or device through which the user inputs planning information for a new service or information about competing services.

[0842] "Means for generating a comparison table based on input service plan information and competing service information" refers to algorithms or software that automatically create a comparison table based on input data.

[0843] "Means for generating a storyboard that visualizes the service provision process based on a comparison table" refers to a mechanism for creating a storyboard that visually shows the flow of service provision by referring to the generated comparison table.

[0844] "Means for displaying the generated comparison table and storyboard on a user terminal" refers to a mechanism for displaying the generated results on a user terminal (e.g., a computer, smartphone, tablet, etc.).

[0845] "Means for displaying information on a smart device to normalize and display data" refers to a mechanism for arranging collected data into a unified format and displaying it on a smart device (e.g., smart glasses, smartwatch, etc.).

[0846] The present invention is a system that supports information input, comparison table generation, and storyboard generation during service planning, and displays the information on a terminal in a visually easy-to-understand format. The system of the present invention is intended to be implemented in a smart device environment, particularly to improve the efficiency of customer service and product explanations in brick-and-mortar stores.

[0847] The main components of the system are as follows:

[0848] 1. Means for users to input service plan information and competing service information

[0849] 2. A means for generating a comparison table based on input service plan information and competitive service information

[0850] 3. A means of generating storyboards that visualize the service delivery process based on comparison tables

[0851] 4. A method for displaying the generated comparison table and storyboard on the user's device

[0852] 5. A means of displaying information on smart devices to normalize and display data

[0853] System program processing explanation

[0854] Hardware and software used

[0855] The system uses smart devices such as smart glasses (e.g., Google Glass, Microsoft HoloLens). The software includes the following components:

[0856] Database Access: For example, we use databases such as Amazon RDS and MySQL to store service planning information and competitive service information.

[0857] Data normalization: A Python-based script is used to align pricing and feature information into a uniform format.

[0858] Comparison table generation: Use a library (e.g., Pandas, BeautifulSoup, etc.) to generate comparison tables in HTML or image format.

[0859] Storyboard generation: Use tools (e.g., matplotlib, Graphviz) to visualize each step.

[0860] System operation explanation

[0861] 1. User Action:

[0862] Users use their smart devices to input service plan information and competing service information via a web interface or dedicated app.

[0863] 2. Data collection and normalization:

[0864] The server stores the input information in a centralized database and normalizes the data. This process standardizes data in different formats and makes subsequent processing easier. For example, it standardizes the units of price information and classifies function information.

[0865] 3. Generate a comparison table:

[0866] The server generates a comparison table based on the normalized data, comparing the service plan information with the competing service information. This comparison table is generated in HTML or image format for easy visual understanding.

[0867] 4. Storyboard generation:

[0868] Based on the comparison table, the server automatically generates a storyboard that visualizes the service delivery process, illustrating each step, such as user registration, medical appointment, medical consultation, and feedback, using icons and explanatory text.

[0869] 5. Display on smart devices:

[0870] The generated comparison charts and storyboards are sent to smart devices and displayed in real time, streamlining product explanations and customer service in physical stores.

[0871] Specific examples

[0872] For example, if a user is considering planning a new service called "online medical consultation," they can use their device to input the service name, functions, price range, and delivery method. Information on a competing service, "Service B," is also entered at the same time, and after the data is normalized, a comparison table and storyboard are generated and displayed on the user's smart glasses. This allows staff to instantly provide customers with information comparing the service with competing products, enabling efficient support.

[0873] Example prompt sentence:

[0874] "Your task is to generate a program that compares product prices and features and displays them on the smart glasses. You will also need to visualize the product introduction process in an easy-to-understand storyboard. Your task is to retrieve product information from a database, standardize price information, and display it in HTML format."

[0875] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0876] Step 1:

[0877] Users use their smart devices to input service plan information and competing service information. The input form includes fields for service name, features, price range, delivery method, etc. This information is entered into the user interface through a web interface or a dedicated app. The input data is then sent to the server.

[0878] Example input:

[0879] Service Name: Service A

[0880] Function: Online medical consultation

[0881] Price range: 2,000 yen per month

[0882] Delivery method: Web app

[0883] Step 2:

[0884] The server saves the service plan information and competing service information sent by the user in a database. The database stores detailed information about each service and is used for subsequent comparison processing. After the input data has been saved, it is normalized. For example, the units of price information are standardized and function information is categorized.

[0885] Database storage example:

[0886] {

[0887] "Service A": {"Feature": "Online medical consultation", "Price range": 2000, "Provision method": "Web / app"},

[0888] "Service B": {"Features": "Online medical consultation, health consultation", "Price range": 3000, "Provision method": "Web / app"}

[0889] }

[0890] Step 3:

[0891] The server generates a comparison table based on the saved service plan information and competing service information. After normalizing the data, it organizes it based on comparison criteria such as the features, price range, and delivery method of each service, and generates the comparison table in HTML or image format.

[0892] An example of the generated comparison table:

[0893]

[0894]

[0895]

[0896]

[0897]

[0898] item Service A Service B function Online medical consultation Online medical consultation, health consultation Price range 2000 yen 3,000 yen How to provide Web App Web App

[0899] Step 4:

[0900] The server generates a storyboard that visualizes the service provision process based on the comparison table. The storyboard visually shows each step, such as user registration, medical appointment, medical examination, and feedback, using icons and explanatory text. The generated storyboard is output as an image file or in HTML format.

[0901] Example of a generated storyboard:

[0902] [User Registration] -> [Medical Appointment] -> [Medical Visit] -> [Feedback]

[0903] Step 5:

[0904] The server then sends the generated comparison table and storyboard to the user's smart device, which displays them in real time. The smart device could be a Google Glass or Microsoft HoloLens, and staff could refer to the displayed information when interacting with customers. This allows users to use their smart device to quickly and efficiently explain the comparison information and service delivery process to customers.

[0905] An example of the information displayed:

[0906] Comparison table HTML and storyboard images

[0907] This series of processes allows the user to respond to customers while obtaining information in real time, enabling efficient service provision.

[0908] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[0909] The present invention is a system for facilitating understanding when planning a service and supporting efficient communication. This system generates a comparison table and storyboard based on service planning information and competing service information entered by the user, and further incorporates an emotion engine that recognizes the user's emotions. Specific embodiments of the system and the processing contents of its program are described below.

[0910] First, the user logs in to their device and creates a new service planning project. A project creation form is displayed, and the user enters information such as the service name, functions, price range, and delivery method. For example, if the user is planning a new online medical consultation service called "Service A," they would use their device to enter the service name "Service A," the function "online medical consultation," the price range "2,000 yen per month," and the delivery method "web app." They would also enter information about competing service "Service B," such as "online medical consultation," "health consultation," "3,000 yen per month," and "web app."

[0911] Next, the device sends the entered service plan information and competing service information to the server. The transmission is done via an HTTP request, and the input data is packaged in JSON format. The server receives this input information and stores it in a database. The stored data is normalized, for example, by standardizing price range units and converting it into a format that makes it easier to compare.

[0912] After the data is normalized, the server generates a comparison table. For example, the information entered by the user about "Service A" and "Service B" is organized into a table based on comparison criteria such as features, price range, and delivery method. This comparison table is generated in HTML format and later displayed on the user's device.

[0913] Next, the server generates a storyboard of the service provision process based on the comparison table. This storyboard illustrates each step, such as user registration, medical appointment, medical consultation, and feedback, in a visually easy-to-understand format. For example, the process flow is visualized using corresponding icons and explanatory text for each step.

[0914] A distinctive feature of this system is the introduction of an emotion engine. The emotion engine has the ability to analyze facial expressions and voice when a user enters information and recognize their emotions. For example, it can analyze whether the user is tense or relaxed. Based on this recognized emotion, the content displayed in the comparison table or storyboard is customized. For example, if the user is feeling stressed, the system will change it to a simpler, easier-to-understand format. In addition, the user's emotions recognized by the emotion engine are recorded as feedback and will be used as a reference when creating future service plans.

[0915] Finally, the generated comparison table and storyboard are displayed on the user's device. The user can check them, modify the information as necessary, and generate the comparison table and storyboard again. In this way, materials for efficiently progressing service planning are completed.

[0916] Usage example:

[0917] Suppose a user is planning a new online medical consultation service, "Service A." Using a device, the user inputs the service name "Service A," its function "online medical consultation," its price range "2,000 yen per month," and its delivery method "web app." Information about a competing service, "Service B," is also input, including "online medical consultation," "health consultation," "3,000 yen per month," and "web app." The server receives this information, stores it in a database, standardizes and normalizes data such as price range, and then generates a comparison table based on the function, price range, and delivery method. Next, a storyboard illustrating the service delivery process is generated and displayed on the device. The user then uses this comparison table and storyboard to create presentation materials and efficiently progress with service planning.

[0918] In this way, the system of the present invention provides service planning information in a visually easy-to-understand format, and by analyzing and reflecting the user's emotions, it provides more personalized support, thereby realizing efficient communication between the user and internal and external parties.

[0919] The processing flow will be explained below.

[0920] Step 1:

[0921] The user logs in to the terminal and creates a new service planning project. A project creation form is displayed, and the user enters information such as the service name, functions, price range, and delivery method.

[0922] Step 2:

[0923] The device sends the entered service plan information and competing service information to the server via an HTTP request, with the input data packaged in JSON format.

[0924] Step 3:

[0925] The server stores the received data in a database, which contains tables for storing project information, and the user's input data is stored in these tables appropriately.

[0926] Step 4:

[0927] The server normalizes items such as price ranges based on the stored data. For example, even if a price range is entered in different formats such as "2000 yen" or "3000 yen," it is converted into a unified numerical format (2000, 3000, etc.) that is easy to calculate and compare.

[0928] Step 5:

[0929] The server uses the normalized data to generate a comparison table, arranging service plan information and competitive service information along key comparison axes such as functionality, price range, and delivery method, and arranging them in a table format.

[0930] Step 6:

[0931] The server generates a storyboard for the service delivery process based on the data in the comparison table. For example, to illustrate steps such as user registration, medical appointment booking, medical consultation, and feedback, it places icons and explanatory text corresponding to each step and assembles them into a series of visual flows.

[0932] Step 7:

[0933] The emotion engine analyzes the user's facial expressions and voice to recognize the emotion at the time of input. For example, it captures the user's face with a camera and determines emotions such as smile, anger, or anxiety.

[0934] Step 8:

[0935] The server receives the analysis results of the emotion engine and customizes the content of the comparison chart or storyboard based on the user's emotions. For example, if the user is feeling stressed, the information display will be simplified and the design will be changed to a more visually appealing one.

[0936] Step 9:

[0937] The server saves the generated comparison tables and storyboards as HTML or image files, which are linked to the user's project page for easy access.

[0938] Step 10:

[0939] The device displays the project page to the user, where the user can view the comparison chart and storyboard generated by the server.

[0940] Step 11:

[0941] The user can review the project page and modify the input information as needed. After modifying the information, if a new generation request is made, the process will be repeated from step 2.

[0942] In this way, a system is realized that efficiently compares service plan information with competitive service information, and provides the information in a visually easy-to-understand format that reflects the user's feelings.

[0943] Example 2

[0944] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[0945] In conventional service planning, the process of inputting, comparing, and visualizing information is cumbersome, making it difficult for users to efficiently proceed with service planning. Furthermore, because the user's feelings are not taken into consideration, they often cause stress and inconvenience. This leads to problems such as a decline in the quality and efficiency of service planning, which ultimately affects the success of the service.

[0946] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for inputting service project information and competing service information from a user, means for generating a comparison table based on the input service project information and competing service information, means for generating a storyboard that visualizes the service provision process based on the comparison table, means for displaying the generated comparison table and storyboard on a user terminal, and emotion recognition means for recognizing the user's emotions and adjusting the display content. This allows the user to efficiently input service project information and confirm it in an easy-to-understand format through comparison and visualization, and makes it possible to provide information according to the user's emotions through the emotion recognition means.

[0947] A "user" is a person who uses the system to input and operate service plan information.

[0948] "Service planning information" refers to detailed information about the new service, such as its name, functions, price range, and delivery method.

[0949] "Competitive service information" refers to detailed information about existing services that compete with the target new service, such as their names, functions, price ranges, and delivery methods.

[0950] A "terminal" is a digital device that allows a user to input service plan information and competing service information, and to display the generated comparison table and storyboard.

[0951] "Server" means a central computing system for receiving, processing, and storing data submitted by users.

[0952] A "comparison table" is a table that organizes each item in an easy-to-compare format based on the input service plan information and competing service information.

[0953] A "storyboard" is a diagram that visualizes the service delivery process based on a comparison table.

[0954] "Emotion recognition means" refers to technology that analyzes a user's facial expressions, voice, etc. to recognize the user's emotional state.

[0955] A "database" is a system for systematically storing and managing data on a server.

[0956] "Normalization" is the process of unifying and making consistent data of different formats and units.

[0957] This invention is a system that provides efficient information processing and personalized support for service planning. This system is composed of a process in which a "server" generates a "comparison table" and a "storyboard" based on "service planning information" and "competitive service information" input by a "user," and displays them on a "terminal." Furthermore, the system uses an "emotion recognition means" to analyze the user's emotions and customize the display content based on the results.

[0958] First, a user logs in to their device and starts creating a new service planning project. The user enters the following service planning information through the project creation form. For example, if they are planning an online medical consultation service called "Service A," they would enter the following information:

[0959] Service Name: "Service A"

[0960] Function: "Online medical consultation"

[0961] Price range: "2000 yen per month"

[0962] Delivery method: "Web app"

[0963] Also enter the information for the competing "Service B":

[0964] Functions: "Online medical consultation", "Health consultation"

[0965] Price range: "3,000 yen per month"

[0966] Delivery method: "Web app"

[0967] The terminal sends the entered information to the server via an HTTP request. The data is packaged in JSON format. The server stores the received data in a database and then normalizes it. For example, it standardizes the units of price ranges. This ensures data consistency and makes comparisons easier.

[0968] Based on the normalized data, the server generates a comparison table. For example, it organizes information about "Service A" and "Service B" based on comparison criteria such as features, price range, and delivery method, and summarizes them in a table format. This comparison table is created in HTML format and displayed on the user's device.

[0969] Next, the server generates a storyboard for the service delivery process based on the comparison table. This storyboard visually represents each step, such as user registration, medical appointment, medical visit, and feedback. For example, the "User Registration" step displays an icon for the account creation screen and a brief description.

[0970] This is where emotion recognition comes in. When a user inputs information, the device collects the user's facial expressions and voice and sends them to the server. The server's emotion engine analyzes them and recognizes the user's emotions (e.g., tension or relaxation). Based on the analysis results, the server customizes the content of the comparison table or storyboard display. For example, if the user is feeling stressed, the system will change the layout to a simpler, more intuitive one.

[0971] Finally, the generated comparison table and storyboard are displayed on the device, where the user can check and modify them as necessary. By repeating this cycle, users can efficiently proceed with service planning.

[0972] Additionally, the generative AI model can provide specific advice and suggestions based on the user's project using the following example prompt:

[0973] Please enter a proposal for your online medical consultation service. Include information such as the service name, features, price range, and delivery method. Also, please include information on competing services.

[0974] As a result, the system of the present invention can reduce the burden on the user and support efficient and personalized service planning.

[0975] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0976] System processing steps

[0977] Step 1:

[0978] A user logs in to a device and creates a new service planning project. The user enters service planning information such as the service name, features, price range, and delivery method into the project creation form. In particular, if the user is planning an online medical consultation service called "Service A," the user would enter the following information:

[0979] Service Name: "Service A"

[0980] Function: "Online medical consultation"

[0981] Price range: "2000 yen per month"

[0982] Delivery method: "Web app"

[0983] The user also enters the information for the conflicting "Service B":

[0984] Functions: "Online medical consultation", "Health consultation"

[0985] Price range: "3,000 yen per month"

[0986] Delivery method: "Web app"

[0987] Processing input: service plan information, competing service information

[0988] Processing output: Input data

[0989] Step 2:

[0990] The device sends the information entered by the user to the server via an HTTP request, with the data packaged in JSON format.

[0991] Processing Input: Input Data

[0992] Processing output: JSON format data

[0993] Step 3:

[0994] The server parses the received JSON data and stores it in the database, checking that each data field is in the correct format and logging any errors.

[0995] Specifically, the server parses the received data and breaks it down into fields for service name, function, price range, and delivery method, then executes an insert query to the database.

[0996] Processing input: JSON format data

[0997] Processing output: Results saved to the database

[0998] Step 4:

[0999] The server performs normalization on the stored data. This is the process of standardizing data of different formats and units. For example, it standardizes the units of price ranges (e.g., converting 2000 yen to 2,000 yen). It also normalizes text data and removes duplicate data.

[1000] Specifically, we apply an algorithm that uses regular expressions to modify price fields in bulk.

[1001] Processing Input: Raw data in the database

[1002] Processing output: Normalized data

[1003] Step 5:

[1004] The server generates a comparison table based on the normalized data. This table organizes the features, price ranges, and delivery methods of Service A and Service B based on the comparison criteria. The generated comparison table is created in HTML format and is styled to be easy for users to view.

[1005] Specifically, it uses a template engine to dynamically generate HTML.

[1006] Processing Input: Normalized Data

[1007] Processing output: Comparison table in HTML format

[1008] Step 6:

[1009] Based on the comparison table, the server generates a storyboard of the service delivery process, which visually represents each step, such as user registration, appointment booking, consultation, feedback, etc. The process is visually enhanced using icons and explanatory text.

[1010] Specifically, illustrations are created using libraries that generate graphics in SVG or PNG format.

[1011] Processing Input: Comparison Table in HTML Format

[1012] Processing output: Storyboard in graphic format

[1013] Step 7:

[1014] The device collects the user's facial expressions and voice and transmits them to a server, particularly using video and audio capture devices to collect emotional data.

[1015] Processing input: User's facial expression, voice data

[1016] Processing output: Emotion data

[1017] Step 8:

[1018] The server's emotion engine analyzes the received data and recognizes the user's emotions, for example, determining whether the user is tense or relaxed, using machine learning algorithms.

[1019] Processing input: Emotion data

[1020] Processing output: Sentiment analysis results

[1021] Step 9:

[1022] The server customizes the display of comparison tables and storyboards based on the results of emotion analysis. If the user is feeling stressed, the layout will be changed to a simpler, more intuitive one.

[1023] Specifically, the layout is dynamically changed using CSS and JavaScript.

[1024] Processing input: Sentiment analysis results, comparison table in HTML format, storyboard in graphic format

[1025] Processing output: customized comparison table, customized storyboard

[1026] Step 10:

[1027] The comparison table and storyboard generated by the server are displayed on the terminal, where the user can check them, modify the information as necessary, and generate the comparison table and storyboard again.

[1028] Processing Input: Customized Comparison Table, Customized Storyboard

[1029] Processing output: what is displayed on the user's terminal

[1030] By repeating the above steps, the user can proceed with an efficient and personalized service plan.

[1031] (Application example 2)

[1032] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the headset type terminal 314 will be referred to as a "terminal."

[1033] Conventional service planning support systems have the problem that it is difficult to visually understand and compare planning information, and are particularly inefficient when comparing with multiple competing services. In addition, they do not display information appropriately according to the user's emotional state, which increases the burden on the user and makes it difficult to achieve efficient communication.

[1034] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for inputting service project information and competing service information from a user, means for generating a comparison table based on the input service project information and competing service information, means for generating a storyboard that visualizes the service provision process based on the comparison table, means for displaying the generated comparison table and storyboard on a user terminal, an emotion engine that analyzes the user's emotions, and means for optimizing display content based on the analyzed emotions. This enables efficient comparison and visualization of project information and further enables personalized display based on the user's emotional state, thereby reducing the user's burden and supporting efficient communication.

[1035] "Service plan information" is information about a new service planned by the user, and includes the service name, functions, price range, and method of provision.

[1036] "Competitive service information" is information about existing services that compete with the service planned by the user, and includes the name, function, price range, and method of provision of the competing service.

[1037] A "comparison table" is a table-form document generated to compare each information item based on service plan information and competing service information.

[1038] A "storyboard" is a diagram that visually represents the service provision process, visually representing each step such as user registration, reservation, service provision, and feedback.

[1039] The "emotion engine" is a function that analyzes the user's emotions from their facial expressions and voice, and optimizes the system's display content based on that.

[1040] The "means for generating a comparison table" is a function for creating a comparison table based on service plan information and competitive service information.

[1041] The "means for generating a storyboard" is a function for creating a storyboard, which is a visual representation of the service provision process, based on the comparison table.

[1042] The "optimization means" is a function that adjusts the system's display content based on the user's emotions analyzed by the emotion engine, optimizing the user's experience.

[1043] The present invention is a system for efficiently supporting users in planning services, and includes the following specific procedures and implementation methods.

[1044] First, a user logs in to a device (e.g., a PC or smartphone) and creates a new service plan project. The user enters the following information as the service plan information:

[1045] Service Name

[1046] function

[1047] Price range

[1048] How to provide

[1049] Enter information about competing services as well, entering similar information for each item. For example, if you are planning a new online medical consultation service called "Service A," you would use a terminal to enter the service name "Service A," function "online medical consultation," price range "2,000 yen per month," and delivery method "web app." You would also enter information about competing service "Service B," such as "online medical consultation," "health consultation," "3,000 yen per month," and "web app."

[1050] The device then sends the input information to the server via an HTTP request, packaging the input data in JSON format. The server receives the input information and stores it in a database. The stored data undergoes normalization, for example, standardizing price range units and converting it into a format that makes it easier to compare.

[1051] After the data is normalized, the server generates a comparison table. For example, the information entered by the user about "Service A" and "Service B" is organized into a table based on comparison criteria such as features, price range, and delivery method. This comparison table is generated in HTML format and later displayed on the user's device.

[1052] Next, the server generates a storyboard of the service provision process based on the comparison table. This storyboard illustrates each step, such as user registration, medical appointment, medical consultation, and feedback, in a visually easy-to-understand format. For example, the process flow is visualized using corresponding icons and explanatory text for each step.

[1053] This system also incorporates an emotion engine. The emotion engine has the ability to analyze facial expressions and voice when a user enters information and recognize their emotions. For example, it can analyze whether the user is nervous or relaxed. Based on this recognized emotion, the content displayed in the comparison table or storyboard is customized. For example, if the user is feeling stressed, the system will change it to a simpler, easier-to-understand format. Furthermore, the user's emotions recognized by the emotion engine are recorded as feedback and will be used as a reference when creating future service plans.

[1054] Finally, the generated comparison table and storyboard are displayed on the user's terminal, where the user can check them, modify the information as necessary, and generate the comparison table and storyboard again.

[1055] For example, use the following prompt:

[1056] Service Name: "Video Stream A"

[1057] Feature: "High-definition streaming"

[1058] Price range: "1500 yen per month"

[1059] Delivery method: "Web app"

[1060] Competitor service: "Video Stream B"

[1061] This enables efficient comparison and visualization of project information, and also enables personalized display based on the user's emotional state, reducing the burden on the user and supporting efficient communication.

[1062] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1063] Step 1:

[1064] A user logs in to a device and creates a new service planning project. At this time, they enter service planning information such as the service name, functions, price range, and delivery method. Information about competing services is also entered in the same way. For example, the service name is "Video Stream A," the function is "high-resolution streaming," the price range is "1,500 yen per month," the delivery method is "web app," and the competing service is "Video Stream B."

[1065] Step 2:

[1066] The device packages the entered service plan information and competing service information in JSON format and sends it to the server via an HTTP request. The server receives this and saves it in a database. The received data is stored in the database in a format corresponding to the service name, function, price range, and delivery method.

[1067] Step 3:

[1068] The server normalizes the stored data, for example, standardizing the units of price ranges and the delivery method. The normalized data is then prepared for the next step, which is to generate a comparison table. Here, the input data is converted into a uniform format to maintain data consistency.

[1069] Step 4:

[1070] The server generates a comparison table containing service plan information and competing service information based on the normalized data. For example, an HTML table with rows and columns containing service names, features, price ranges, and delivery methods is generated. The generated comparison table is then organized and formatted to make it easier to understand visually.

[1071] Step 5:

[1072] The server generates a storyboard based on the comparison table to visualize the service delivery process. For example, each step, such as user registration, reservation, service delivery, and feedback, is illustrated with icons and explanatory text. The storyboard is generated to visually represent the details of each step and their dynamic flow.

[1073] Step 6:

[1074] When a user inputs information into the device, the device sends the user's facial expressions and voice to the emotion engine. The emotion engine analyzes them and determines the user's emotions. For example, it analyzes whether the user is relaxed or stressed. The analysis results are sent to the server.

[1075] Step 7:

[1076] The server optimizes the display of the comparison table and storyboard based on the analyzed emotion data. For example, if the user is feeling stressed, the server changes the display to a simpler, more understandable format. The server reformats the comparison table and storyboard into a simpler format to adapt to the user's emotion.

[1077] Step 8:

[1078] The optimized comparison table and storyboard are displayed on the user's device. The information displayed on the device is presented to the user in a visually organized format. The user can review the information, modify it as necessary, and then generate the comparison table and storyboard again.

[1079] This system enables efficient comparison and visualization of service planning information, and also realizes personalized display based on the user's emotional state. This specific operation reduces the user's burden and supports efficient communication.

[1080] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[1081] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1082] 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 the present disclosure is not limited to this, and the specific processing may be performed by the headset type terminal 314.

[1083] [Fourth embodiment]

[1084] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1085] 7, a 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.

[1086] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 is an example of a "computer" according to the technology of the present disclosure. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[1087] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[1088] The microphone 238 receives instructions and the like from the user 20 by receiving voice uttered by the user 20. The microphone 238 captures the voice uttered by the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio in accordance with instructions from the processor 46.

[1089] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the surroundings of user 20 (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[1090] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[1091] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[1092] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[1093] The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific 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.

[1094] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[1095] In the robot 414, the processor 46 performs the reception output process. A reception output program 60 is stored in the storage 50. 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 process is realized by the processor 46 operating as the control unit 46A in accordance with the reception output program 60 executed on the RAM 48.

[1096] Next, a description will be given of the specific processing performed by the specific processing unit 290 of the data processing device 12. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1097] The present invention provides a system for facilitating understanding during service planning and supporting efficient communication. This system allows users to input service planning information and competing service information, automatically generating a comparison table and storyboard, and displaying them on a terminal. A specific embodiment of the system and the processing content of its program are described below.

[1098] First, the user logs in to their device and creates a new service planning project. At this time, an interface is provided for entering service planning information such as the service name, functions, price range, and delivery method, as well as information about competing services. For example, the user enters information about "Service A" such as "online medical consultation," "2,000 yen per month," and "web app." At the same time, the user also enters information about competing "Service B" such as "online medical consultation," "health consultation," "3,000 yen per month," and "web app."

[1099] The server then receives these inputs and stores them in a database. Once stored, the data is normalized, for example, to standardize price range units and convert them into a format that is easier to compare. This data normalization procedure removes errors and inconsistencies and forms the basis for generating comparison tables.

[1100] After the data is normalized, the server generates a comparison table. For example, the information entered by the user about "Service A" and "Service B" is organized into a table based on comparison criteria such as features, price range, and delivery method. This comparison table is generated in HTML format and later displayed on the user's device.

[1101] Next, the server generates a storyboard of the service provision process based on the comparison table. This storyboard illustrates each step, such as user registration, medical appointment, medical consultation, and feedback, and is generated in a visually easy-to-understand format. For example, each step uses a corresponding icon and description to visualize the process flow.

[1102] Finally, the generated comparison table and storyboard are displayed on the user's device. The user can check them, modify the information as necessary, and generate the comparison table and storyboard again. In this way, materials for efficiently progressing service planning are completed.

[1103] The following are specific usage examples.

[1104] Usage example:

[1105] Suppose a user is planning a new online medical consultation service, "Service A." Using a device, the user inputs the service name "Service A," its function "online medical consultation," its price range "2,000 yen per month," and its delivery method "web app." The user also inputs information about a competing service, "Service B," such as "online medical consultation," "health consultation," "3,000 yen per month," and "web app." The server receives this information, stores it in a database, standardizes and normalizes data such as price range, and then generates a comparison table based on the function, price range, and delivery method. Next, a storyboard illustrating the service delivery process is generated and displayed on the device. The user then uses this comparison table and storyboard to create presentation materials and efficiently progress with the service planning.

[1106] In this way, the system of the present invention provides service planning information in a visually and easily understandable format, supporting efficient communication between users and related parties both inside and outside the company.

[1107] The processing flow will be explained below.

[1108] Step 1:

[1109] The user logs in to the terminal and creates a new service planning project. A project creation form is displayed, and the user enters information such as the service name, functions, price range, and delivery method.

[1110] Step 2:

[1111] The device sends the entered service plan information and competing service information to the server via an HTTP request, with the input data packaged in JSON format.

[1112] Step 3:

[1113] The server stores the received data in a database, which contains tables for storing project information, and the user's input data is stored in these tables appropriately.

[1114] Step 4:

[1115] The server normalizes items such as price ranges based on the stored data. For example, even if a price range is entered in different formats such as "2000 yen" or "3000 yen," it converts it into a unified numerical format (2000, 3000, etc.) that is easier to calculate and compare.

[1116] Step 5:

[1117] The server uses the normalized data to generate a comparison table, arranging service plan information and competitive service information along key comparison axes such as functionality, price range, and delivery method, and arranging them in a table format.

[1118] Step 6:

[1119] The server generates a storyboard for the service delivery process based on the data in the comparison table. For example, to illustrate steps such as user registration, medical appointment booking, medical consultation, and feedback, it places icons and explanatory text corresponding to each step and assembles them into a series of visual flows.

[1120] Step 7:

[1121] The server saves the generated comparison tables and storyboards as HTML or image files, which are linked to the user's project page for easy access.

[1122] Step 8:

[1123] The device displays the project page to the user, where the user can view the comparison chart and storyboard generated by the server.

[1124] Step 9:

[1125] The user can review the project page and modify the input information as needed. After modifying the information, if a new generation request is made, the process will be repeated from step 2.

[1126] In this way, a system is realized that efficiently compares service plan information with competitive service information and provides it in a visually easy-to-understand format.

[1127] Example 1

[1128] Next, a description will be given of Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1129] In conventional service planning, entering planning information and collecting and comparing competitive information was done manually, which required a lot of time and effort. Furthermore, the information entered was prone to inconsistency and errors, potentially reducing the accuracy of comparisons. Furthermore, it was difficult to visualize planning information, which reduced the efficiency of communication between stakeholders.

[1130] The specific processing by the specific processing unit 290 of the data processing device 12 in the first embodiment is realized by the following means.

[1131] In this invention, the server includes means for inputting project information and competitive information from a user, means for generating a table based on the input project information and competitive information, and means for generating a storyboard that visualizes the business process based on the table. This enables accurate input, comparison, and visualization of project information and competitive information, and realizes efficient communication between the parties involved.

[1132] A "user" is an entity that uses this system to input service plan information and competitive information.

[1133] "Planning information" is information about new services and products, and is data including the service name, functions, price range, and delivery method.

[1134] "Competitive information" refers to information about competitors or competing products and services, and, like planning information, includes data such as service names, functions, price ranges, and delivery methods.

[1135] "Means" refers to a method or device for realizing a specific function or role.

[1136] The "table" is a format for organizing and displaying comparison data generated based on the project information and competitive information entered by the user.

[1137] A storyboard is a visual document that illustrates steps and flows to visualize a service delivery process.

[1138] A "terminal" is a device that allows a user to access the system and input information, and is a computer device such as a PC or smartphone.

[1139] A "database" is an information management system for storing, managing, and using input information.

[1140] "Normalization" is a process that standardizes the format and units of input data to improve data consistency and comparison accuracy.

[1141] "HTML" is a markup language for constructing web pages and is a format used to display visual data such as comparison tables.

[1142] An "image file" is a digital file format for storing and displaying visual information, and is used for storyboards, etc.

[1143] The present invention is a system that automatically generates a comparison table and storyboard based on project information and competitive information input by a user and displays them on a terminal. The specific technical configuration and usage method of an embodiment of this system are described below.

[1144] First, a user logs in to a device and starts a new planning project. At this time, the user accesses an interface where they can enter planning information such as the service name, functions, price range, and delivery method, as well as competitive information. For example, via a GUI (graphical user interface), they enter information about "Service A" such as "online medical consultation," "2,000 yen per month," and "web app." At the same time, they also enter information about competing "Service B," such as "online medical consultation," "health consultation," "3,000 yen per month," and "web app."

[1145] The entered information is sent to the server, which stores it in a database. The database is typically a relational database management system such as MySQL or PostgreSQL.

[1146] After receiving the data, the server normalizes it. For example, it standardizes the expressions for price ranges and feature names. This improves data consistency and comparison accuracy. This process can be performed using programming languages ​​such as Python and Java, as well as data processing libraries such as Pandas and NumPy.

[1147] The server then generates a comparison table based on the normalized data. The comparison table is organized based on features, price range, delivery method, etc., and generated in HTML format. This HTML comparison table is displayed to the user via a GUI that runs on a web browser.

[1148] Furthermore, the server generates a storyboard for the service delivery process based on the comparison table. The storyboard illustrates process steps such as user registration, medical appointment, medical consultation, and feedback, and is generated in a visually easy-to-understand format. For example, corresponding icons and explanatory text are added to each step. Canvas and SVG are used for this, enabling dynamic and interactive visualization.

[1149] Finally, the generated comparison table and storyboard are sent to the user's device, where the user can review them. If necessary, the user can modify the information and generate the comparison table and storyboard again. By repeating this process, visual materials for efficiently progressing service planning are completed.

[1150] Below are some examples of prompts to input to a generative AI model.

[1151] Please generate a comparison table and storyboard for your service proposal. Create the comparison table and storyboard based on the following information:

[1152] (Service A)

[1153] Name: Online Medical Care Service A

[1154] Function: Online medical consultation

[1155] Price range: 2000 yen per month

[1156] Delivery method: Web app

[1157] (Competitor Service B)

[1158] Name: Online Medical Care Service B

[1159] Function: Online medical consultation and health consultation

[1160] Price range: 3,000 yen per month

[1161] Delivery method: Web app

[1162] Based on the above information, please create a comparison table between Service A and competitor Service B, and illustrate the delivery process of each service in the form of a storyboard.

[1163] In this manner, the system can support efficient communication and progress in service planning through accurate input and visualization of planning information and competitive information by users.

[1164] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1165] Step 1:

[1166] The user logs in to the device and inputs service plan information and competing service information. Using the input interface, for example, they input "online medical consultation," "2,000 yen per month," and "web app" as information for "Service A." They also input "online medical consultation," "health consultation," "3,000 yen per month," and "web app" as information for "Service B."

[1167] Input: Information such as service name, features, price range, and delivery method

[1168] Output: Structured planning and competitive information

[1169] Step 2:

[1170] The server receives the information entered by the user and stores it in a database, typically a relational database management system such as MySQL or PostgreSQL. The server stores each data item in the database in the appropriate format.

[1171] Input: Project information and competitive information entered by the user

[1172] Output: Data stored in the database

[1173] Step 3:

[1174] The server normalizes the stored data. Specifically, it standardizes the notation of price ranges and names of identical features. This process can be performed using programming languages ​​such as Python or Java, as well as data processing libraries such as Pandas and NumPy.

[1175] Input: Raw data stored in a database

[1176] Output: Normalized data

[1177] Step 4:

[1178] The server uses the normalized data to generate a table comparing the project information with the competitors' information. The generated table is organized based on dimensions such as features, price range, and delivery method, and is output in HTML format. A template engine (such as Thymeleaf or Jinja2) may be used for this process.

[1179] Input: Normalized data

[1180] Output: Comparison table in HTML format

[1181] Step 5:

[1182] The server generates a storyboard for each service provision process based on the generated comparison table. The storyboard illustrates process steps such as user registration, medical appointment, medical examination, and feedback. Corresponding icons and explanatory text are added to each step, and the storyboard is output in a visually easy-to-understand format. It is often generated dynamically using Canvas or SVG.

[1183] Input: HTML comparison table

[1184] Output: Storyboard in SVG or Canvas format

[1185] Step 6:

[1186] The server sends the generated comparison table and storyboard to the user's device, which receives the data and displays it on a web browser. The user can then review the data, modify the information as necessary, and generate the comparison table and storyboard again.

[1187] Input: Generated comparison table and storyboard

[1188] Output: Visual material displayed on the device

[1189] The system's processing flow allows users to efficiently input, manage, and compare service planning information, and to use visual materials based on that information.

[1190] (Application example 1)

[1191] Next, a description will be given of Application Example 1. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1192] The present invention relates to a system that facilitates the input of information and the generation of comparison tables and storyboards when planning services. It also aims to solve the problem of improving the efficiency of customer service and product explanations in brick-and-mortar stores, enabling staff to quickly refer to information when providing optimal services to customers in real time using smart devices.

[1193] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 1 is realized by the following means.

[1194] In this invention, the server includes means for inputting service plan information and competing service information from a user, means for generating a comparison table based on the input service plan information and competing service information, means for generating a storyboard that visualizes the service provision process based on the comparison table, means for displaying the generated comparison table and storyboard on a user terminal, and means for displaying information on a smart device for normalizing and displaying data. This enables staff at a physical store to visually present the comparison information and service provision process to customers in real time using the smart device, enabling efficient and prompt customer service.

[1195] "Means for the user to input service planning information and competing service information" refers to an interface or device through which the user inputs planning information for a new service or information about competing services.

[1196] "Means for generating a comparison table based on input service plan information and competing service information" refers to algorithms or software that automatically create a comparison table based on input data.

[1197] "Means for generating a storyboard that visualizes the service provision process based on a comparison table" refers to a mechanism for creating a storyboard that visually shows the flow of service provision by referring to the generated comparison table.

[1198] "Means for displaying the generated comparison table and storyboard on a user terminal" refers to a mechanism for displaying the generated results on a user terminal (e.g., a computer, smartphone, tablet, etc.).

[1199] "Means for displaying information on a smart device to normalize and display data" refers to a mechanism for arranging collected data into a unified format and displaying it on a smart device (e.g., smart glasses, smartwatch, etc.).

[1200] The present invention is a system that supports information input, comparison table generation, and storyboard generation during service planning, and displays the information on a terminal in a visually easy-to-understand format. The system of the present invention is intended to be implemented in a smart device environment, particularly to improve the efficiency of customer service and product explanations in brick-and-mortar stores.

[1201] The main components of the system are as follows:

[1202] 1. Means for users to input service plan information and competing service information

[1203] 2. A means for generating a comparison table based on input service plan information and competitive service information

[1204] 3. A means of generating storyboards that visualize the service delivery process based on comparison tables

[1205] 4. A method for displaying the generated comparison table and storyboard on the user's device

[1206] 5. A means of displaying information on smart devices to normalize and display data

[1207] System program processing explanation

[1208] Hardware and software used

[1209] The system uses smart devices such as smart glasses (e.g., Google Glass, Microsoft HoloLens). The software includes the following components:

[1210] Database Access: For example, we use databases such as Amazon RDS and MySQL to store service planning information and competitive service information.

[1211] Data normalization: A Python-based script is used to align pricing and feature information into a uniform format.

[1212] Comparison table generation: Use a library (e.g., Pandas, BeautifulSoup, etc.) to generate comparison tables in HTML or image format.

[1213] Storyboard generation: Use tools (e.g., matplotlib, Graphviz) to visualize each step.

[1214] System operation explanation

[1215] 1. User Action:

[1216] Users use their smart devices to input service plan information and competing service information via a web interface or dedicated app.

[1217] 2. Data collection and normalization:

[1218] The server stores the input information in a centralized database and normalizes the data. This process standardizes data in different formats and makes subsequent processing easier. For example, it standardizes the units of price information and classifies function information.

[1219] 3. Generate a comparison table:

[1220] The server generates a comparison table based on the normalized data, comparing the service plan information with the competing service information. This comparison table is generated in HTML or image format for easy visual understanding.

[1221] 4. Storyboard generation:

[1222] Based on the comparison table, the server automatically generates a storyboard that visualizes the service delivery process, illustrating each step, such as user registration, medical appointment, medical consultation, and feedback, using icons and explanatory text.

[1223] 5. Display on smart devices:

[1224] The generated comparison charts and storyboards are sent to smart devices and displayed in real time, streamlining product explanations and customer service in physical stores.

[1225] Specific examples

[1226] For example, if a user is considering planning a new service called "online medical consultation," they can use their device to input the service name, functions, price range, and delivery method. Information on a competing service, "Service B," is also entered at the same time, and after the data is normalized, a comparison table and storyboard are generated and displayed on the user's smart glasses. This allows staff to instantly provide customers with information comparing the service with competing products, enabling efficient support.

[1227] Example prompt sentence:

[1228] "Your task is to generate a program that compares product prices and features and displays them on the smart glasses. You will also need to visualize the product introduction process in an easy-to-understand storyboard. Your task is to retrieve product information from a database, standardize price information, and display it in HTML format."

[1229] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1230] Step 1:

[1231] Users use their smart devices to input service plan information and competing service information. The input form includes fields for service name, features, price range, delivery method, etc. This information is entered into the user interface through a web interface or a dedicated app. The input data is then sent to the server.

[1232] Example input:

[1233] Service Name: Service A

[1234] Function: Online medical consultation

[1235] Price range: 2,000 yen per month

[1236] Delivery method: Web app

[1237] Step 2:

[1238] The server saves the service plan information and competing service information sent by the user in a database. The database stores detailed information about each service and is used for subsequent comparison processing. After the input data has been saved, it is normalized. For example, the units of price information are standardized and function information is categorized.

[1239] Database storage example:

[1240] {

[1241] "Service A": {"Feature": "Online medical consultation", "Price range": 2000, "Provision method": "Web / app"},

[1242] "Service B": {"Features": "Online medical consultation, health consultation", "Price range": 3000, "Provision method": "Web / app"}

[1243] }

[1244] Step 3:

[1245] The server generates a comparison table based on the saved service plan information and competing service information. After normalizing the data, it organizes it based on comparison criteria such as the features, price range, and delivery method of each service, and generates the comparison table in HTML or image format.

[1246] An example of the generated comparison table:

[1247]

[1248]

[1249]

[1250]

[1251]

[1252] item Service A Service B function Online medical consultation Online medical consultation, health consultation Price range 2000 yen 3,000 yen How to provide Web App Web App

[1253] Step 4:

[1254] The server generates a storyboard that visualizes the service provision process based on the comparison table. The storyboard visually shows each step, such as user registration, medical appointment, medical examination, and feedback, using icons and explanatory text. The generated storyboard is output as an image file or in HTML format.

[1255] Example of a generated storyboard:

[1256] [User Registration] -> [Medical Appointment] -> [Medical Visit] -> [Feedback]

[1257] Step 5:

[1258] The server then sends the generated comparison table and storyboard to the user's smart device, which displays them in real time. The smart device could be a Google Glass or Microsoft HoloLens, and staff could refer to the displayed information when interacting with customers. This allows users to use their smart device to quickly and efficiently explain the comparison information and service delivery process to customers.

[1259] An example of the information displayed:

[1260] Comparison table HTML and storyboard images

[1261] This series of processes allows the user to respond to customers while obtaining information in real time, enabling efficient service provision.

[1262] Furthermore, an emotion engine that estimates the user's emotion may be further combined. That is, the identification processing unit 290 may estimate the user's emotion using the emotion identification model 59, and perform identification processing using the user's emotion.

[1263] The present invention is a system for facilitating understanding when planning a service and supporting efficient communication. This system generates a comparison table and storyboard based on service planning information and competing service information entered by the user, and further incorporates an emotion engine that recognizes the user's emotions. Specific embodiments of the system and the processing contents of its program are described below.

[1264] First, the user logs in to their device and creates a new service planning project. A project creation form is displayed, and the user enters information such as the service name, functions, price range, and delivery method. For example, if the user is planning a new online medical consultation service called "Service A," they would use their device to enter the service name "Service A," the function "online medical consultation," the price range "2,000 yen per month," and the delivery method "web app." They would also enter information about competing service "Service B," such as "online medical consultation," "health consultation," "3,000 yen per month," and "web app."

[1265] Next, the device sends the entered service plan information and competing service information to the server. The transmission is done via an HTTP request, and the input data is packaged in JSON format. The server receives this input information and stores it in a database. The stored data is normalized, for example, by standardizing price range units and converting it into a format that makes it easier to compare.

[1266] After the data is normalized, the server generates a comparison table. For example, the information entered by the user about "Service A" and "Service B" is organized into a table based on comparison criteria such as features, price range, and delivery method. This comparison table is generated in HTML format and later displayed on the user's device.

[1267] Next, the server generates a storyboard of the service provision process based on the comparison table. This storyboard illustrates each step, such as user registration, medical appointment, medical consultation, and feedback, in a visually easy-to-understand format. For example, the process flow is visualized using corresponding icons and explanatory text for each step.

[1268] A distinctive feature of this system is the introduction of an emotion engine. The emotion engine has the ability to analyze facial expressions and voice when a user enters information and recognize their emotions. For example, it can analyze whether the user is tense or relaxed. Based on this recognized emotion, the content displayed in the comparison table or storyboard is customized. For example, if the user is feeling stressed, the system will change it to a simpler, easier-to-understand format. In addition, the user's emotions recognized by the emotion engine are recorded as feedback and will be used as a reference when creating future service plans.

[1269] Finally, the generated comparison table and storyboard are displayed on the user's device. The user can check them, modify the information as necessary, and generate the comparison table and storyboard again. In this way, materials for efficiently progressing service planning are completed.

[1270] Usage example:

[1271] Suppose a user is planning a new online medical consultation service, "Service A." Using a device, the user inputs the service name "Service A," its function "online medical consultation," its price range "2,000 yen per month," and its delivery method "web app." Information about a competing service, "Service B," is also input, including "online medical consultation," "health consultation," "3,000 yen per month," and "web app." The server receives this information, stores it in a database, standardizes and normalizes data such as price range, and then generates a comparison table based on the function, price range, and delivery method. Next, a storyboard illustrating the service delivery process is generated and displayed on the device. The user then uses this comparison table and storyboard to create presentation materials and efficiently progress with service planning.

[1272] In this way, the system of the present invention provides service planning information in a visually easy-to-understand format, and by analyzing and reflecting the user's emotions, it provides more personalized support, thereby realizing efficient communication between the user and internal and external parties.

[1273] The processing flow will be explained below.

[1274] Step 1:

[1275] The user logs in to the terminal and creates a new service planning project. A project creation form is displayed, and the user enters information such as the service name, functions, price range, and delivery method.

[1276] Step 2:

[1277] The device sends the entered service plan information and competing service information to the server via an HTTP request, with the input data packaged in JSON format.

[1278] Step 3:

[1279] The server stores the received data in a database, which contains tables for storing project information, and the user's input data is stored in these tables appropriately.

[1280] Step 4:

[1281] The server normalizes items such as price ranges based on the stored data. For example, even if a price range is entered in different formats such as "2000 yen" or "3000 yen," it is converted into a unified numerical format (2000, 3000, etc.) that is easy to calculate and compare.

[1282] Step 5:

[1283] The server uses the normalized data to generate a comparison table, arranging service plan information and competitive service information along key comparison axes such as functionality, price range, and delivery method, and arranging them in a table format.

[1284] Step 6:

[1285] The server generates a storyboard for the service delivery process based on the data in the comparison table. For example, to illustrate steps such as user registration, medical appointment booking, medical consultation, and feedback, it places icons and explanatory text corresponding to each step and assembles them into a series of visual flows.

[1286] Step 7:

[1287] The emotion engine analyzes the user's facial expressions and voice to recognize the emotion at the time of input. For example, it captures the user's face with a camera and determines emotions such as smile, anger, or anxiety.

[1288] Step 8:

[1289] The server receives the analysis results of the emotion engine and customizes the content of the comparison chart or storyboard based on the user's emotions. For example, if the user is feeling stressed, the information display will be simplified and the design will be changed to a more visually appealing one.

[1290] Step 9:

[1291] The server saves the generated comparison tables and storyboards as HTML or image files, which are linked to the user's project page for easy access.

[1292] Step 10:

[1293] The device displays the project page to the user, where the user can view the comparison chart and storyboard generated by the server.

[1294] Step 11:

[1295] The user can review the project page and modify the input information as needed. After modifying the information, if a new generation request is made, the process will be repeated from step 2.

[1296] In this way, a system is realized that efficiently compares service plan information with competitive service information, and provides the information in a visually easy-to-understand format that reflects the user's feelings.

[1297] Example 2

[1298] Next, a description will be given of Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1299] In conventional service planning, the process of inputting, comparing, and visualizing information is cumbersome, making it difficult for users to efficiently proceed with service planning. Furthermore, because the user's feelings are not taken into consideration, they often cause stress and inconvenience. This leads to problems such as a decline in the quality and efficiency of service planning, which ultimately affects the success of the service.

[1300] The identification process by the identification processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means. In this invention, the server includes means for inputting service project information and competing service information from a user, means for generating a comparison table based on the input service project information and competing service information, means for generating a storyboard that visualizes the service provision process based on the comparison table, means for displaying the generated comparison table and storyboard on a user terminal, and emotion recognition means for recognizing the user's emotions and adjusting the display content. This allows the user to efficiently input service project information and confirm it in an easy-to-understand format through comparison and visualization, and makes it possible to provide information according to the user's emotions through the emotion recognition means.

[1301] A "user" is a person who uses the system to input and operate service plan information.

[1302] "Service planning information" refers to detailed information about the new service, such as its name, functions, price range, and delivery method.

[1303] "Competitive service information" refers to detailed information about existing services that compete with the target new service, such as their names, functions, price ranges, and delivery methods.

[1304] A "terminal" is a digital device that allows a user to input service plan information and competing service information, and to display the generated comparison table and storyboard.

[1305] "Server" means a central computing system for receiving, processing, and storing data submitted by users.

[1306] A "comparison table" is a table that organizes each item in an easy-to-compare format based on the input service plan information and competing service information.

[1307] A "storyboard" is a diagram that visualizes the service delivery process based on a comparison table.

[1308] "Emotion recognition means" refers to technology that analyzes a user's facial expressions, voice, etc. to recognize the user's emotional state.

[1309] A "database" is a system for systematically storing and managing data on a server.

[1310] "Normalization" is the process of unifying and making consistent data of different formats and units.

[1311] This invention is a system that provides efficient information processing and personalized support for service planning. This system is composed of a process in which a "server" generates a "comparison table" and a "storyboard" based on "service planning information" and "competitive service information" input by a "user," and displays them on a "terminal." Furthermore, the system uses an "emotion recognition means" to analyze the user's emotions and customize the display content based on the results.

[1312] First, a user logs in to their device and starts creating a new service planning project. The user enters the following service planning information through the project creation form. For example, if they are planning an online medical consultation service called "Service A," they would enter the following information:

[1313] Service Name: "Service A"

[1314] Function: "Online medical consultation"

[1315] Price range: "2000 yen per month"

[1316] Delivery method: "Web app"

[1317] Also enter the information for the competing "Service B":

[1318] Functions: "Online medical consultation", "Health consultation"

[1319] Price range: "3,000 yen per month"

[1320] Delivery method: "Web app"

[1321] The terminal sends the entered information to the server via an HTTP request. The data is packaged in JSON format. The server stores the received data in a database and then normalizes it. For example, it standardizes the units of price ranges. This ensures data consistency and makes comparisons easier.

[1322] Based on the normalized data, the server generates a comparison table. For example, it organizes information about "Service A" and "Service B" based on comparison criteria such as features, price range, and delivery method, and summarizes them in a table format. This comparison table is created in HTML format and displayed on the user's device.

[1323] Next, the server generates a storyboard for the service delivery process based on the comparison table. This storyboard visually represents each step, such as user registration, medical appointment, medical visit, and feedback. For example, the "User Registration" step displays an icon for the account creation screen and a brief description.

[1324] This is where emotion recognition comes in. When a user inputs information, the device collects the user's facial expressions and voice and sends them to the server. The server's emotion engine analyzes them and recognizes the user's emotions (e.g., tension or relaxation). Based on the analysis results, the server customizes the content of the comparison table or storyboard display. For example, if the user is feeling stressed, the system will change the layout to a simpler, more intuitive one.

[1325] Finally, the generated comparison table and storyboard are displayed on the device, where the user can check and modify them as necessary. By repeating this cycle, users can efficiently proceed with service planning.

[1326] Additionally, the generative AI model can provide specific advice and suggestions based on the user's project using the following example prompt:

[1327] Please enter a proposal for your online medical consultation service. Include information such as the service name, features, price range, and delivery method. Also, please include information on competing services.

[1328] As a result, the system of the present invention can reduce the burden on the user and support efficient and personalized service planning.

[1329] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1330] System processing steps

[1331] Step 1:

[1332] A user logs in to a device and creates a new service planning project. The user enters service planning information such as the service name, features, price range, and delivery method into the project creation form. In particular, if the user is planning an online medical consultation service called "Service A," the user would enter the following information:

[1333] Service Name: "Service A"

[1334] Function: "Online medical consultation"

[1335] Price range: "2000 yen per month"

[1336] Delivery method: "Web app"

[1337] The user also enters the information for the conflicting "Service B":

[1338] Functions: "Online medical consultation", "Health consultation"

[1339] Price range: "3,000 yen per month"

[1340] Delivery method: "Web app"

[1341] Processing input: service plan information, competing service information

[1342] Processing output: Input data

[1343] Step 2:

[1344] The device sends the information entered by the user to the server via an HTTP request, with the data packaged in JSON format.

[1345] Processing Input: Input Data

[1346] Processing output: JSON format data

[1347] Step 3:

[1348] The server parses the received JSON data and stores it in the database, checking that each data field is in the correct format and logging any errors.

[1349] Specifically, the server parses the received data and breaks it down into fields for service name, function, price range, and delivery method, then executes an insert query to the database.

[1350] Processing input: JSON format data

[1351] Processing output: Results saved to the database

[1352] Step 4:

[1353] The server performs normalization on the stored data. This is the process of standardizing data of different formats and units. For example, it standardizes the units of price ranges (e.g., converting 2000 yen to 2,000 yen). It also normalizes text data and removes duplicate data.

[1354] Specifically, we apply an algorithm that uses regular expressions to modify price fields in bulk.

[1355] Processing Input: Raw data in the database

[1356] Processing output: Normalized data

[1357] Step 5:

[1358] The server generates a comparison table based on the normalized data. This table organizes the features, price ranges, and delivery methods of Service A and Service B based on the comparison criteria. The generated comparison table is created in HTML format and is styled to be easy for users to view.

[1359] Specifically, it uses a template engine to dynamically generate HTML.

[1360] Processing Input: Normalized Data

[1361] Processing output: Comparison table in HTML format

[1362] Step 6:

[1363] Based on the comparison table, the server generates a storyboard of the service delivery process, which visually represents each step, such as user registration, appointment booking, consultation, feedback, etc. The process is visually enhanced using icons and explanatory text.

[1364] Specifically, illustrations are created using libraries that generate graphics in SVG or PNG format.

[1365] Processing Input: Comparison Table in HTML Format

[1366] Processing output: Storyboard in graphic format

[1367] Step 7:

[1368] The device collects the user's facial expressions and voice and transmits them to a server, particularly using video and audio capture devices to collect emotional data.

[1369] Processing input: User's facial expression, voice data

[1370] Processing output: Emotion data

[1371] Step 8:

[1372] The server's emotion engine analyzes the received data and recognizes the user's emotions, for example, determining whether the user is tense or relaxed, using machine learning algorithms.

[1373] Processing input: Emotion data

[1374] Processing output: Sentiment analysis results

[1375] Step 9:

[1376] The server customizes the display of comparison tables and storyboards based on the results of emotion analysis. If the user is feeling stressed, the layout will be changed to a simpler, more intuitive one.

[1377] Specifically, the layout is dynamically changed using CSS and JavaScript.

[1378] Processing input: Sentiment analysis results, comparison table in HTML format, storyboard in graphic format

[1379] Processing output: customized comparison table, customized storyboard

[1380] Step 10:

[1381] The comparison table and storyboard generated by the server are displayed on the terminal, where the user can check them, modify the information as necessary, and generate the comparison table and storyboard again.

[1382] Processing Input: Customized Comparison Table, Customized Storyboard

[1383] Processing output: what is displayed on the user's terminal

[1384] By repeating the above steps, the user can proceed with an efficient and personalized service plan.

[1385] (Application example 2)

[1386] Next, a description will be given of Application Example 2. In the following description, the data processing device 12 will be referred to as a "server" and the robot 414 will be referred to as a "terminal."

[1387] Conventional service planning support systems have the problem that it is difficult to visually understand and compare planning information, and are particularly inefficient when comparing with multiple competing services. In addition, they do not display information appropriately according to the user's emotional state, which increases the burden on the user and makes it difficult to achieve efficient communication.

[1388] The identification process by the identification processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means. In this invention, the server includes means for inputting service project information and competing service information from a user, means for generating a comparison table based on the input service project information and competing service information, means for generating a storyboard that visualizes the service provision process based on the comparison table, means for displaying the generated comparison table and storyboard on a user terminal, an emotion engine that analyzes the user's emotions, and means for optimizing display content based on the analyzed emotions. This enables efficient comparison and visualization of project information and further enables personalized display based on the user's emotional state, thereby reducing the user's burden and supporting efficient communication.

[1389] "Service plan information" is information about a new service planned by the user, and includes the service name, functions, price range, and method of provision.

[1390] "Competitive service information" is information about existing services that compete with the service planned by the user, and includes the name, function, price range, and method of provision of the competing service.

[1391] A "comparison table" is a table-form document generated to compare each information item based on service plan information and competing service information.

[1392] A "storyboard" is a diagram that visually represents the service provision process, visually representing each step such as user registration, reservation, service provision, and feedback.

[1393] The "emotion engine" is a function that analyzes the user's emotions from their facial expressions and voice, and optimizes the system's display content based on that.

[1394] The "means for generating a comparison table" is a function for creating a comparison table based on service plan information and competitive service information.

[1395] The "means for generating a storyboard" is a function for creating a storyboard, which is a visual representation of the service provision process, based on the comparison table.

[1396] The "optimization means" is a function that adjusts the system's display content based on the user's emotions analyzed by the emotion engine, optimizing the user's experience.

[1397] The present invention is a system for efficiently supporting users in planning services, and includes the following specific procedures and implementation methods.

[1398] First, a user logs in to a device (e.g., a PC or smartphone) and creates a new service plan project. The user enters the following information as the service plan information:

[1399] Service Name

[1400] function

[1401] Price range

[1402] How to provide

[1403] Enter information about competing services as well, entering similar information for each item. For example, if you are planning a new online medical consultation service called "Service A," you would use a terminal to enter the service name "Service A," function "online medical consultation," price range "2,000 yen per month," and delivery method "web app." You would also enter information about competing service "Service B," such as "online medical consultation," "health consultation," "3,000 yen per month," and "web app."

[1404] The device then sends the input information to the server via an HTTP request, packaging the input data in JSON format. The server receives the input information and stores it in a database. The stored data undergoes normalization, for example, standardizing price range units and converting it into a format that makes it easier to compare.

[1405] After the data is normalized, the server generates a comparison table. For example, the information entered by the user about "Service A" and "Service B" is organized into a table based on comparison criteria such as features, price range, and delivery method. This comparison table is generated in HTML format and later displayed on the user's device.

[1406] Next, the server generates a storyboard of the service provision process based on the comparison table. This storyboard illustrates each step, such as user registration, medical appointment, medical consultation, and feedback, in a visually easy-to-understand format. For example, the process flow is visualized using corresponding icons and explanatory text for each step.

[1407] This system also incorporates an emotion engine. The emotion engine has the ability to analyze facial expressions and voice when a user enters information and recognize their emotions. For example, it can analyze whether the user is nervous or relaxed. Based on this recognized emotion, the content displayed in the comparison table or storyboard is customized. For example, if the user is feeling stressed, the system will change it to a simpler, easier-to-understand format. Furthermore, the user's emotions recognized by the emotion engine are recorded as feedback and will be used as a reference when creating future service plans.

[1408] Finally, the generated comparison table and storyboard are displayed on the user's terminal, where the user can check them, modify the information as necessary, and generate the comparison table and storyboard again.

[1409] For example, use the following prompt:

[1410] Service Name: "Video Stream A"

[1411] Feature: "High-definition streaming"

[1412] Price range: "1500 yen per month"

[1413] Delivery method: "Web app"

[1414] Competitor service: "Video Stream B"

[1415] This enables efficient comparison and visualization of project information, and also enables personalized display based on the user's emotional state, reducing the burden on the user and supporting efficient communication.

[1416] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1417] Step 1:

[1418] A user logs in to a device and creates a new service planning project. At this time, they enter service planning information such as the service name, functions, price range, and delivery method. Information about competing services is also entered in the same way. For example, the service name is "Video Stream A," the function is "high-resolution streaming," the price range is "1,500 yen per month," the delivery method is "web app," and the competing service is "Video Stream B."

[1419] Step 2:

[1420] The device packages the entered service plan information and competing service information in JSON format and sends it to the server via an HTTP request. The server receives this and saves it in a database. The received data is stored in the database in a format corresponding to the service name, function, price range, and delivery method.

[1421] Step 3:

[1422] The server normalizes the stored data, for example, standardizing the units of price ranges and the delivery method. The normalized data is then prepared for the next step, which is to generate a comparison table. Here, the input data is converted into a uniform format to maintain data consistency.

[1423] Step 4:

[1424] The server generates a comparison table containing service plan information and competing service information based on the normalized data. For example, an HTML table with rows and columns containing service names, features, price ranges, and delivery methods is generated. The generated comparison table is then organized and formatted to make it easier to understand visually.

[1425] Step 5:

[1426] The server generates a storyboard based on the comparison table to visualize the service delivery process. For example, each step, such as user registration, reservation, service delivery, and feedback, is illustrated with icons and explanatory text. The storyboard is generated to visually represent the details of each step and their dynamic flow.

[1427] Step 6:

[1428] When a user inputs information into the device, the device sends the user's facial expressions and voice to the emotion engine. The emotion engine analyzes them and determines the user's emotions. For example, it analyzes whether the user is relaxed or stressed. The analysis results are sent to the server.

[1429] Step 7:

[1430] The server optimizes the display of the comparison table and storyboard based on the analyzed emotion data. For example, if the user is feeling stressed, the server changes the display to a simpler, more understandable format. The server reformats the comparison table and storyboard into a simpler format to adapt to the user's emotion.

[1431] Step 8:

[1432] The optimized comparison table and storyboard are displayed on the user's device. The information displayed on the device is presented to the user in a visually organized format. The user can review the information, modify it as necessary, and then generate the comparison table and storyboard again.

[1433] This system enables efficient comparison and visualization of service planning information, and also realizes personalized display based on the user's emotional state. This specific operation reduces the user's burden and supports efficient communication.

[1434] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[1435] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search <url: https: gemini.google.com ?hl="ja">) and other generation AIs. The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating voice, text data indicating text, and image data indicating an image is also input. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt, and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[1436] 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 the present disclosure is not limited to this, and the specific processing may be performed by the robot 414.

[1437] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[1438] FIG. 9 is a diagram illustrating an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and actions arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion includes both affect and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[1439] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[1440] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[1441] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. Emotions can also be created for robots, automobiles, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is indicated, and when they approach the ideal, a state of pleasure is indicated. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on Voice Emotion Recognition and Emotional Brain Physiological Signal Analysis Systems, Tokushima University, Doctoral Dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the "reaction" domain, where sensation is dominant. The right half of the emotion map lists emotions belonging to the "situation" domain, where situational awareness is dominant.

[1442] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[1443] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[1444] The system according to the present disclosure has been described above mainly with respect to the functions of the data processing device 12, but the system according to the present disclosure is not necessarily implemented on a server. The system according to the present disclosure may be implemented as a general information processing system. The present disclosure may be implemented, for example, as a software program running on a personal computer or an application running on a smartphone, etc. The method according to the present disclosure may be provided to users in the form of SaaS (Software as a Service).

[1445] In the above embodiment, an example was given in which the specific processing is performed by one computer 22, but the technology of the present disclosure is not limited to this, and the specific processing may be distributed and performed by a plurality of computers including the computer 22. For example, the data generation model 58 may be provided in an external device of the data processing device 12, and data may be generated in the external device in accordance with input data.

[1446] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[1447] 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.

[1448] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[1449] The hardware resource for executing a specific process can be any of the following processors: An example of a processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. Another example of a processor is a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[1450] The hardware resource that executes the specific processing may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific processing may be a single processor.

[1451] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[1452] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[1453] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[1454] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference.

[1455] The following is further disclosed regarding the above embodiment.

[1456] (Claim 1)

[1457] means for allowing a user to input service plan information and competitive service information;

[1458] means for generating a comparison table based on input service plan information and competitive service information;

[1459] A means of generating storyboards that visualize the service delivery process based on the comparison table;

[1460] a means for displaying the generated comparison table and storyboard on a user terminal;

[1461] A system including:

[1462] (Claim 2)

[1463] 2. The system according to claim 1, further comprising means for storing the input service plan information and competitive service information in a database and for normalizing the data.

[1464] (Claim 3)

[1465] 10. The system of claim 1, further comprising means for generating the comparison table and storyboard as HTML or image files for display on the project page.

[1466] "Example 1"

[1467] (Claim 1)

[1468] means for inputting project information and competitive information from a user;

[1469] means for generating a table based on input project information and competitive information;

[1470] A means to generate storyboards that visualize business processes based on tables,

[1471] means for displaying the generated table and storyboard on a user terminal;

[1472] A system including:

[1473] (Claim 2)

[1474] 2. The system according to claim 1, further comprising means for storing the input project information and competition information in a database and for normalizing the data.

[1475] (Claim 3)

[1476] 10. The system of claim 1, further comprising means for generating the tables and storyboards as HTML or image files for display on the project page.

[1477] "Application Example 1"

[1478] (Claim 1)

[1479] means for allowing a user to input service plan information and competitive service information;

[1480] means for generating a comparison table based on input service plan information and competitive service information;

[1481] A means of generating storyboards that visualize the service delivery process based on the comparison table;

[1482] a means for displaying the generated comparison table and storyboard on a user terminal;

[1483] a means for displaying the information on a smart device for normalizing and displaying the data;

[1484] A system including:

[1485] (Claim 2)

[1486] 2. The system according to claim 1, further comprising means for storing the input service plan information and competitive service information in a database and for normalizing the data.

[1487] (Claim 3)

[1488] 10. The system of claim 1, further comprising means for generating the comparison table and storyboard as HTML or image files for display on the project page.

[1489] "Example 2: Combining Emotion Engines"

[1490] (Claim 1)

[1491] means for allowing a user to input service plan information and competitive service information;

[1492] means for generating a comparison table based on input service plan information and competitive service information;

[1493] A means of generating storyboards that visualize the service delivery process based on the comparison table;

[1494] a means for displaying the generated comparison table and storyboard on a user terminal;

[1495] emotion recognition means for recognizing a user's emotion and adjusting the display content;

[1496] A system including:

[1497] (Claim 2)

[1498] 2. The system according to claim 1, further comprising means for storing the input service plan information and competitive service information in a database and for normalizing the data.

[1499] (Claim 3)

[1500] 10. The system of claim 1, further comprising means for generating the comparison table and storyboard as HTML or image files for display on the project page.

[1501] "Application example 2 when combining emotion engines"

[1502] (Claim 1)

[1503] means for allowing a user to input service plan information and competitive service information;

[1504] means for generating a comparison table based on input service plan information and competitive service information;

[1505] A means of generating storyboards that visualize the service delivery process based on the comparison table;

[1506] a means for displaying the generated comparison table and storyboard on a user terminal;

[1507] an emotion engine that analyzes the emotion of a user; and means for optimizing display content based on the analyzed emotion;

[1508] A system including:

[1509] (Claim 2)

[1510] 2. The system according to claim 1, further comprising means for storing the input service plan information and competitive service information in a database and for normalizing the data.

[1511] (Claim 3)

[1512] 10. The system of claim 1, further comprising means for generating the comparison table and storyboard as HTML or image files for display on the project page. [Explanation of symbols]

[1513] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot< / url:> < / url:> < / url:> < / url:>

Claims

1. means for allowing a user to input service plan information and competitive service information; means for generating a comparison table based on input service plan information and competitive service information; A means of generating storyboards that visualize the service delivery process based on the comparison table; a means for displaying the generated comparison table and storyboard on a user terminal; A system including:

2. 2. The system according to claim 1, further comprising means for storing the input service plan information and competitive service information in a database and for normalizing the data.

3. The system of claim 1 , further comprising means for generating the comparison table and storyboard as HTML or image files and displaying them on the project page.

Images