System

Abstract

A system is provided.SOLUTION: A system comprising: means for obtaining information on business objectives, design preferences, and a target audience from a user; means for analyzing the obtained information and extracting requirements necessary for website design; means for generating a website design proposal and content based on the extracted requirements; and means for providing the generated design proposal and content to the user.SELECTED DRAWING: Figure 1

Description

[Technical Field]

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

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

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

[0004] Companies, sole proprietors, freelancers, bloggers, and others considering creating or renewing their websites often lack the knowledge and experience necessary for effective website design and content creation, and are faced with limited resources. These users need assistance in creating high-quality websites easily and efficiently. They also need specific suggestions for improvements to ensure website design with high usability. [Means for solving the problem]

[0005] The present invention includes a means for acquiring information on business objectives, design preferences, and target audiences from users. It also includes a means for analyzing the acquired information and extracting requirements for website design. It also includes a means for generating website design proposals and content based on the extracted requirements, and a means for providing the generated design proposals and content to users. This allows users to create high-quality websites without specialized knowledge. It also includes a means for accepting user feedback, reanalyzing and regenerating, and a means for evaluating the usability of the generated website and outputting improvement suggestions, thereby supporting users in operating effective websites. Natural language processing technology is used for the analysis, enabling accurate understanding of user input and appropriate suggestions. It also includes a means for generating design proposals and content in HTML and CSS format, which are provided to users in a readily usable format.

[0006] "User" means an entity that uses the system to create or renew a website.

[0007] "Business purpose" refers to the goals and results the user wants to achieve in the business they run.

[0008] "Design Preferences" refers to the personal tastes and preferences that a user has regarding the appearance and style of a website.

[0009] "Target Audience" means the specific group of users that the Website is intended to influence.

[0010] "Server" refers to the central device or system that receives, analyzes, processes, and stores data submitted by users.

[0011] "Terminal" means a device used by a user to operate the system, such as a personal computer or smartphone.

[0012] "Analysis" refers to the process of analyzing information provided by users and extracting requirements for website design.

[0013] "Website design" refers to the planning and design of the layout, colors, fonts, and arrangement of interface elements for building a website.

[0014] "Requirements" means the specific conditions and specifications for designing a website extracted through analysis.

[0015] "Design Proposal" refers to a plan that embodies the layout and style of a website generated based on requirements.

[0016] "Content" refers to the information displayed on a website, specifically text, images, videos, etc.

[0017] "Usability" refers to the ease and convenience of using a website.

[0018] "Feedback" refers to opinions and comments regarding improvements provided by Users.

[0019] "Reanalysis" refers to the process of reanalyzing existing data based on user feedback.

[0020] "Natural language processing technology" refers to technology that allows computers to process natural language used by humans.

[0021] "HTML" refers to a markup language for building web pages.

[0022] "CSS" refers to a style sheet language used to set the design and layout of web pages. [Brief explanation of the drawings]

[0023] [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

[0024] 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.

[0025] First, the terms used in the following description will be explained.

[0026] 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).

[0027] 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.

[0028] 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.

[0029] 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.

[0030] 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."

[0031] [First embodiment]

[0032] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0033] 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.

[0034] 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).

[0035] 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.

[0036] 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.

[0037] 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.

[0038] 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.

[0039] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0040] 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.

[0041] 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.

[0042] 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.

[0043] 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."

[0044] Collecting user-entered information

[0045] Users enter required information through a web form, including the purpose of their business (e.g., "small cafe"), design preferences (e.g., "simple and modern"), and target audience (e.g., "local young adults"). The device receives this input data and sends it to the server.

[0046] Receiving and storing data

[0047] The server receives the data sent by the user and stores it in a database, where it is prepared for use in subsequent analysis processes.

[0048] Data analysis and requirements extraction

[0049] The server applies natural language processing (NLP) to the stored data to analyze the input. From the analysis results, requirements such as the business's purpose, design preferences, and target audience are extracted. For example, a "small cafe" may require specific elements in its marketing strategy, and a "simple and modern design" may be set as the site's visual theme, with the services offered primarily targeted at "local young adults."

[0050] Design proposals and content generation

[0051] 1. The server selects an appropriate design template and style sheet (CSS) based on the extracted requirements. For example, if a "simple and modern" design is required, it generates a CSS style that uses a white-based color scheme and sans-serif fonts.

[0052] 2. The server creates a template that defines the specific HTML structure and applies the selected CSS styles, creating a layout that includes, for example, a "cafe homepage," a "menu page," and a "gallery page."

[0053] 3. The server generates or selects content (text, images, videos, etc.) based on the user's business. This may include, for example, a cafe menu, store photos, and staff introductions. This content is placed on an HTML template and built into a web page. Meta tags and SEO (search engine optimization) are also set.

[0054] Usability analysis and improvement suggestions

[0055] The server evaluates the usability of the generated web page. For example, it checks the page load speed, ease of navigation, and the application of responsive design. Based on this, it makes suggestions for improving usability. For example, it provides specific suggestions such as "improving page load speed by compressing images" or "improving user operability by rearranging the navigation menu."

[0056] Sending and displaying proposal results

[0057] The server generates the proposed results in HTML and CSS format and sends them to the device. The device receives the results and displays them as a preview in the browser. The user can check the actual preview and send correction requests or feedback as needed.

[0058] Accepting user feedback and making improvements

[0059] The server receives feedback from the user, then performs a re-analysis and re-generation process and provides the revised website, allowing the user to create their ideal website.

[0060] Specific examples

[0061] If a user wants to create a website for a "small cafe," they can enter their business objective as "attracting customers," their design preference as "simple and modern," and their target audience as "local young adults." After receiving this information, the server analyzes it using natural language processing technology and generates an appropriate design template (white base, sans-serif font) and content specific to the cafe (menu, photos, blog posts). It then builds a highly usable website and suggests improvements based on the user's requests. Finally, it receives user feedback and makes any necessary modifications to create the optimal website.

[0062] In this way, the present invention provides a system that enables users to easily create and operate high-quality, highly usable websites without having specialized knowledge.

[0063] The processing flow will be explained below.

[0064] Step 1:

[0065] Users fill out a web form to describe their business purpose (e.g., "small cafe"), design preferences (e.g., "simple and modern"), and target audience (e.g., "local young adults").

[0066] Step 2:

[0067] The terminal acquires the data entered by the user and transmits it to the server.

[0068] Step 3:

[0069] The server receives the user data sent from the device and stores it in a database, which is then ready for subsequent analysis.

[0070] Step 4:

[0071] The server analyzes the stored data using natural language processing technology, extracting requirements such as business objectives, design preferences, and target audience.

[0072] Step 5:

[0073] The server selects an appropriate design template and CSS style based on the extracted requirements. For example, if a "simple and modern" design is required, it selects a style that uses a white-based color scheme and sans-serif font.

[0074] Step 6:

[0075] The server defines the specific HTML structure and creates templates with the selected CSS styles applied, including layouts for the "cafe homepage," "menu page," and "gallery page."

[0076] Step 7:

[0077] The server generates or selects content (text, images, videos, etc.) according to the user's business, such as a cafe menu, store photos, and staff introductions.

[0078] Step 8:

[0079] The server places the generated content on an HTML template to build a web page, and also sets meta tags and implements SEO to create a web page optimized for search engines.

[0080] Step 9:

[0081] The server evaluates the generated web pages for usability, checking, for example, page load speed, ease of navigation, and the application of responsive design.

[0082] Step 10:

[0083] The server generates improvement suggestions based on the usability evaluation results, such as "improving page load speed by compressing images" or "improving user experience by rearranging the navigation menu."

[0084] Step 11:

[0085] The server outputs the generated design proposals, content, and usability improvement proposals in HTML and CSS format and sends them to the terminal.

[0086] Step 12:

[0087] The device displays the HTML and CSS received from the server in a browser and provides a preview to the user, who can then check the preview and provide feedback or correction requests as needed.

[0088] Step 13:

[0089] The server receives the user's feedback and runs the analysis and revision process again, resulting in a final website based on the user's specific requirements.

[0090] Example 1

[0091] 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."

[0092] Conventional website construction methods require specialized knowledge and skills, making it difficult for many users to easily create high-quality websites. Furthermore, usability evaluation and regeneration based on feedback are time-consuming and difficult to respond to quickly. For this reason, a system was needed that could efficiently construct websites that meet users' business requirements and design preferences, and make appropriate improvements.

[0093] 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.

[0094] In this invention, the server includes means for acquiring information from users regarding the purpose of their commercial activities, design preferences, and target customer demographics; means for analyzing the acquired information and extracting requirements for website construction; and means for generating website design proposals and content based on the extracted requirements. This allows users to easily create high-quality websites that meet their business requirements, even without specialized knowledge. Furthermore, by further providing means for accepting user feedback, reanalyzing and regenerating the website, and means for evaluating the usability of the generated website and outputting improvement suggestions, prompt and appropriate improvements can be made.

[0095] "Commercial Purpose" refers to the business goals or intentions that a user wishes to achieve through a website.

[0096] "Design preferences" refers to the visual and functional design style of a website that a user desires.

[0097] "Target Audience" refers to the specific customer group or market segment you wish to reach through your website.

[0098] "Means of obtaining information" refers to the methods and tools used to collect data and information entered by users.

[0099] "Means of extracting requirements" refers to methods and tools for analyzing the acquired information and extracting the elements and conditions necessary for building a website.

[0100] "Means for generating design proposals and content" refers to methods and tools for creating website layouts and content based on extracted requirements.

[0101] "Means for receiving feedback" refers to the methods and tools used to receive feedback and improvement requests from users.

[0102] "Means for reanalysis and regeneration" refers to methods and tools for reanalyzing data based on received feedback and reconstructing the website's design and content.

[0103] "Usability evaluation measures" refers to methods and tools used to evaluate the usability and performance of the generated website.

[0104] "Means for outputting improvement proposals" refers to methods and tools for creating and providing specific improvement proposals based on usability evaluations.

[0105] This invention provides a system that enables users to easily create and operate high-quality websites without specialized knowledge. This system includes the following processes: collecting user-entered information, receiving and saving data, analyzing data and extracting requirements, generating design proposals and content, analyzing usability and proposing improvements, sending and displaying the results of the proposals, and receiving and improving user feedback.

[0106] Collecting user-entered information

[0107] The user enters necessary information such as the purpose of their business, design preferences, and target customer demographics through a web form. For example, the user may enter "customer attraction" as the "purpose of their business," "simple and modern" as the "design preference," and "local young adults" as the "target customer demographic." The terminal receives this input data and sends it to the server.

[0108] Receiving and storing data

[0109] The server receives the data submitted by the user and stores it in a database system such as MySQL or PostgreSQL, where it is prepared for use in subsequent analysis processes.

[0110] Data analysis and requirements extraction

[0111] The server applies natural language processing (NLP) techniques to the stored data and analyzes the acquired information. For example, it uses Python's NLTK or Spacy libraries to analyze text data and extract requirements such as the business's purpose, design preferences, and target customer demographic. For example, if the business purpose is entered as "small cafe," specific marketing and design requirements are extracted based on this information.

[0112] Design proposals and content generation

[0113] The server selects appropriate design templates and cascading style sheets (CSS) based on the extracted requirements. For example, it uses a CSS framework such as Bootstrap, and if a "simple and modern design" is required, it uses a white-based color scheme and sans-serif font. It also generates a specific HTML structure and creates templates for the top page, menu page, gallery page, etc. Furthermore, it uses Python libraries and generative AI models (e.g., GPT-3) to generate or select content (menus, photos, blog articles, etc.) according to the user's business, and also sets meta tags for SEO purposes.

[0114] Usability analysis and improvement suggestions

[0115] The server evaluates the usability of the generated web pages using tools such as Google Lighthouse. For example, it checks the page load speed, ease of navigation, and application of responsive design, and generates specific improvement suggestions based on the results. For example, "improve page load speed by compressing images" or "rearrange the navigation menu to improve user experience."

[0116] Sending and displaying proposal results

[0117] The server generates the results in HTML and CSS format that reflect the improvement suggestions and sends them to the device. The device receives the results and displays them as a preview in the browser. The user can check the preview and provide feedback if necessary.

[0118] Accepting user feedback and making improvements

[0119] The server receives feedback from the user and performs the re-analysis and re-generation process. For example, if the user sends feedback saying "the navigation menu is difficult to understand," the server will improve that part and re-generate the website. This allows the user to create the ideal website.

[0120] Specific examples

[0121] If a user wants to create a website for a "small cafe," they can enter their business objective as "attracting customers," their design preference as "simple and modern," and their target customer demographic as "local young adults." After receiving this information, the server analyzes it using natural language processing technology and generates an appropriate design template (white base, sans-serif font) and cafe-specific content (menu, photos, blog posts). It then builds a user-friendly website and suggests improvements based on the user's requests. Finally, it receives user feedback and makes any necessary modifications to create an optimal website.

[0122] An example of a prompt for the generative AI model we will use:

[0123] "I would like to create a website for a small cafe. The purpose of my commercial activities is to attract customers, my design preference is simple and modern, and my target customer base is young adults in the local area. I would like you to generate the optimal design template and content based on this information. I would also like you to build a user-friendly website and provide suggestions for improvements."

[0124] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0125] Step 1: Collecting User-Input Information

[0126] The user enters information such as the purpose of their business, design preferences, and target customer demographic into a web form. For example, the "purpose of business" could be "attracting customers," the "design preferences" could be "simple and modern," and the "target customer demographic" could be "local young adults." The device receives this input data in real time and sends it to the server. The input is the user's information (purpose of business, design preferences, target customer demographic), and the output is the input data sent to the server.

[0127] Step 2: Receiving and storing data

[0128] The server receives the user data sent from the device and stores it in a database. Specifically, it uses a database system such as MySQL or PostgreSQL to efficiently store the received data. The input is the data sent from the device, and the output is the user information stored in the database.

[0129] Step 3: Data analysis and requirements extraction

[0130] The server applies natural language processing (NLP) techniques to the user data stored in the database. Specifically, it uses Python's NLTK and Spacy libraries to analyze text data and extract requirements related to the business's objectives, design preferences, and target customer demographics. For example, for a business objective of "small cafe," the analysis analyzes marketing strategies and design requirements. The input is the stored user data, and the output is the extracted requirements.

[0131] Step 4: Design proposals and content generation

[0132] 1. The server selects the optimal design template and CSS stylesheet based on the extracted requirements. For example, if a "simple and modern design" is required using a CSS framework such as Bootstrap, a white-based color scheme and sans-serif fonts will be used. The extracted requirements are the input, and the selected design template and CSS are the output.

[0133] 2. The server generates a specific HTML structure and applies the selected CSS styles to create a web page template. For example, a top page, menu page, gallery page, etc. are defined using HTML and CSS. The input is the selected design template and extracted requirements, and the output is the generated HTML and CSS templates.

[0134] 3. The server generates or selects content based on the user's business. Specifically, it uses Python libraries and generative AI models (e.g., GPT-3) to generate cafe menus, store photos, blog articles, etc., and sets meta tags for SEO purposes. The inputs are extracted requirements and analyzed data, and the output is generated content and meta tags.

[0135] Step 5: Usability analysis and improvement suggestions

[0136] The server evaluates the usability of the generated web page using tools such as Google Lighthouse. Specifically, it checks the page load speed, ease of navigation, and application of responsive design, and makes specific improvement suggestions based on the results. For example, "Improve page load speed by compressing images" or "Improve user experience by rearranging the navigation menu." The input is the generated web page, and the output is the generated improvement suggestions.

[0137] Step 6: Submit and view the proposal results

[0138] The server generates the results reflecting the improvement suggestions in HTML and CSS format and sends them to the terminal. The terminal receives this result and displays it as a preview in the browser. The user checks this preview and provides feedback if necessary. The input is the generated improvement suggestions and the modified web page, and the output is the preview displayed in the browser.

[0139] Step 7: Accept user feedback and make improvements

[0140] The server receives feedback from the user and performs a re-analysis and re-generation process. For example, if the user gives feedback that "the navigation menu is difficult to understand," the server makes corrections based on this opinion and re-generates the website. The input is the user's feedback, and the output is the corrected website. This allows the user to complete their ideal website.

[0141] (Application example 1)

[0142] 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."

[0143] In order for brick-and-mortar stores, especially small stores, to effectively attract customers and conduct marketing, it is necessary to quickly and easily create high-quality, highly usable websites. However, for users without specialized knowledge or skills, designing websites and generating content is not easy. It is also difficult to evaluate the usability of the created websites and make appropriate improvements. A system that can solve these user problems and efficiently operate websites is needed.

[0144] 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.

[0145] In this invention, the server includes means for acquiring information on business objectives, design preferences, and target audiences from users, means for analyzing the acquired information and extracting requirements for website design, means for generating website design proposals and content based on the extracted requirements, means for providing the generated design proposals and content to users, means for realizing the above functions as an application to be installed on a smartphone, and means for analyzing data using natural language processing technology and selecting design templates and style sheets. This enables even users without specialized knowledge or skills to quickly and easily create high-quality, highly usable websites, and further enables optimal website management through usability evaluations and improvement suggestions.

[0146] "User" refers to any business owner or individual who wants to create a website.

[0147] "Business Objective" refers to the goal or intention that a user wants to achieve through a website.

[0148] "Design preferences" refers to the specific tastes and requirements a user has for the appearance and style of a website.

[0149] "Target audience" refers to the specific customer or audience that your website primarily wants to attract.

[0150] "Means of collection" refers to the methods and tools used to collect specific information from users.

[0151] "Means for analyzing and extracting requirements for website design" refers to methods and techniques for analyzing collected information and deriving specific conditions and elements necessary for website design.

[0152] "Means for generating website design proposals and content" refers to methods and tools for creating website layouts and content based on extracted requirements.

[0153] "Means of provision" refers to the methods and technologies used to notify or display the generated website design proposals and content to users.

[0154] "Applications installed on smartphones" refers to software that realizes the above functions and is provided in a format that runs on smartphones.

[0155] "Natural language processing technology" refers to artificial intelligence technology for analyzing and interpreting text data entered by users.

[0156] "Design template" refers to a predefined layout or style that defines the basic structure and appearance of a website.

[0157] A "style sheet" refers to a set of rules that define the visual design elements (e.g., colors, fonts, layout) of a website.

[0158] "Usability" refers to the ease of use and operation of a website.

[0159] "Means for evaluation and outputting improvement suggestions" refers to methods and technologies for analyzing the usability of the generated website and providing specific suggestions for its improvement.

[0160] Collecting user-entered information

[0161] Users input the necessary information through an application installed on their smartphone, such as the business's purpose (e.g., "cafe"), design preferences (e.g., "simple and modern"), and target audience (e.g., "young adults"). The device receives this input data and sends it to the server.

[0162] Receiving and storing data

[0163] The server receives the data submitted by the user and stores it in an SQLite database, where it is prepared for use in the subsequent analysis process.

[0164] Data analysis and requirements extraction

[0165] The server applies natural language processing (TextBlob) to the stored data to analyze the input. From the analysis results, requirements such as the business's purpose, design preferences, and target audience are extracted. For example, a "small cafe" may require specific elements in its marketing strategy, and a "simple and modern design" may be set as the site's visual theme, with the services offered primarily targeted at "local young adults."

[0166] Design proposals and content generation

[0167] The server selects an appropriate design template and style sheet (CSS) based on the extracted requirements. For example, if a "simple and modern" design is desired, it generates a CSS style that uses a white-based color scheme and sans-serif font. It also defines a specific HTML structure and creates a template that applies the selected CSS style. For example, it creates a layout that includes a "cafe homepage," "menu page," and "gallery page." The generated content includes the cafe menu, store photos, and staff introductions.

[0168] Usability analysis and improvement suggestions

[0169] The server evaluates the usability of the generated web page. For example, it checks the page load speed, ease of navigation, and the application of responsive design. Based on this, it makes suggestions for improving usability. For example, it provides specific suggestions such as "improving page load speed by compressing images" or "improving user operability by rearranging the navigation menu."

[0170] Sending and displaying proposal results

[0171] The server generates the proposed results in HTML and CSS format and sends them to the device. The device receives the results and displays them as a preview in the browser. The user can check the actual preview and send correction requests or feedback as needed.

[0172] Accepting user feedback and making improvements

[0173] The server receives feedback from the user, then performs a re-analysis and re-generation process and provides the modified website, allowing the user to create their ideal website.

[0174] Specific examples

[0175] If a user wants to create a website for a small cafe, they input their business purpose as "cafe," their design preference as "simple and modern," and their target audience as "local young adults." After receiving this information, the server analyzes it using natural language processing technology and generates an appropriate design template (white background, sans-serif font) and content specific to the cafe (menu, photos, blog posts). For example, the following prompt might be used:

[0176] Design a simple and modern website for a cafe business targeting local young adults. The template should use a white color scheme and sans-serif font, and generate pages that include a menu, photos of the store, and staff introductions.

[0177] The server builds a highly usable website, proposes improvements based on user requests, and finally receives user feedback and makes any necessary modifications to complete the optimal website.

[0178] In this way, by implementing the present invention, users can easily create and operate high-quality, highly usable websites without any specialized knowledge.

[0179] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0180] Step 1:

[0181] Users enter their business purpose (e.g., "cafe"), design preferences (e.g., "simple and modern"), and target audience (e.g., "young adults") through an application installed on their smartphone. This information is received by the device and sent to the server. The input data is in text format, and the device prepares it to be sent to the server.

[0182] Step 2:

[0183] The device sends the received user input data to the server, which receives the data in text format and stores it in an SQLite database, preparing the data for subsequent analysis processes.

[0184] Step 3:

[0185] The server applies natural language processing (TextBlob) to the stored data to analyze the input content. At this time, requirements such as business objectives, design preferences, and target audience are extracted. Data processing involves analyzing the input text and performing data calculations to extract specific keywords and phrases to identify requirements. For example, the input "cafe" can identify the category "food and beverage industry."

[0186] Step 4:

[0187] The server uses a generative AI model based on the extracted requirements to select an appropriate design template and style sheet (CSS). Specifically, a white-based color scheme and sans-serif font style is selected based on the requirement of "simple and modern." The selection process is carried out by a design template selection algorithm.

[0188] Step 5:

[0189] The server defines the specific HTML structure using the design template and CSS stylesheet, creates a template with the specified style applied, and generates or selects content (text, images, videos, etc.) according to the user's business and places it on the HTML template. This process includes reading from a database and using content generation algorithms.

[0190] Step 6:

[0191] The server evaluates the usability of the generated website. The evaluation includes factors such as page load speed, ease of navigation, and the application of responsive design. Based on the evaluation results, it generates suggestions for improving usability. Examples of suggestions include "improving page load speed by compressing images" and "improving user experience by rearranging the navigation menu."

[0192] Step 7:

[0193] The server generates the website design and content along with the proposed results in HTML and CSS format and sends them to the device. The device receives the results and displays them as a preview in the browser. The user can check the preview and submit correction requests or feedback as needed.

[0194] Step 8:

[0195] The server receives the user's feedback, performs a re-analysis and re-generation process, generates a revised website, and sends it back to the terminal, thus completing the optimal website based on the user's feedback.

[0196] 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.

[0197] User input information collection and emotion recognition

[0198] Users fill out a web form with information about their business purpose (e.g., "small cafe"), design preferences (e.g., "simple and modern"), and target audience (e.g., "local young adults"). The device captures the user's input data and sends it to the server.

[0199] Receiving and storing data

[0200] The server receives the user data sent from the device and stores it in a database. At the same time, it also records the user's input behavior (e.g., typing speed, mouse movement patterns, etc.) and sends it to the emotion engine.

[0201] Emotion Recognition and Analysis

[0202] The emotion engine installed on the server analyzes user input and behavioral data to recognize the user's emotions (e.g., "anxiety," "satisfaction," "excitement," etc.). The recognized emotional information is reflected in the website design and content generation.

[0203] Data analysis and requirements extraction

[0204] The server uses natural language processing technology to analyze the stored data and the emotional information from the emotion engine, and extracts requirements based on business objectives, design preferences, target audience, and user emotions from the analysis results.

[0205] Design proposals and content generation

[0206] 1. The server selects an appropriate design template and CSS style based on the extracted requirements and emotion information. For example, if the user prefers a "simple and modern" design and has an emotion of "satisfaction," the server selects a style that uses a white-based color scheme and sans-serif font.

[0207] 2. The server creates a template that defines the specific HTML structure and applies the selected CSS styles, including layouts for the "cafe homepage," "menu page," and "gallery page."

[0208] 3. The server generates or selects content (text, images, videos, etc.) that corresponds to the user's business. For example, this may include a cafe menu, store photos, and staff introductions. Furthermore, taking into account the information from the emotion engine, the server selects colors and font sizes that will make the user feel relaxed.

[0209] Usability analysis and emotional evaluation

[0210] The server evaluates the usability of the generated web pages, checking things like page load speed, ease of navigation, and the application of responsive design. It also collects users' emotional evaluations of usability through an emotion engine.

[0211] Output of improvement suggestions

[0212] The server generates improvement suggestions based on the usability evaluation results and emotional evaluations. For example, it suggests "improving page load speed by compressing images" or "improving user experience by rearranging the navigation menu." It also makes specific suggestions such as "highlighting the FAQ page if the user is feeling unsure."

[0213] Sending and displaying proposal results

[0214] The server outputs the generated design proposals, content, and usability improvement suggestions in HTML and CSS format and sends them to the device. The device displays the HTML and CSS received from the server in a browser and provides a preview to the user. The user can check the preview and send feedback or correction requests as necessary.

[0215] Accepting user feedback and making improvements

[0216] The server receives the user's feedback and performs another analysis and modification process, thus completing the final website based on the user's specific requirements and sentiment information.

[0217] Specific examples

[0218] If a user wants to create a website for a "small cafe," they can enter their business objective as "attracting customers," their design preference as "simple and modern," and their target audience as "local young adults." After receiving this information, the server analyzes it using natural language processing technology and uses an emotion engine to recognize the user's emotions of "excitement" and "anticipation." It then generates an appropriate design template (white base, sans-serif font) and cafe-specific content (menu, photos, blog posts) to enhance usability and emotional satisfaction. Based on user feedback, the ideal website is then completed.

[0219] In this way, the present invention provides a system that enables users to easily create and operate high-quality, highly usable websites that take emotional satisfaction into consideration, even if they do not have specialized knowledge.

[0220] The processing flow will be explained below.

[0221] Step 1:

[0222] Users fill out a web form to describe their business purpose (e.g., "small cafe"), design preferences (e.g., "simple and modern"), and target audience (e.g., "local young adults"), while their behavioral data (typing speed, mouse movement patterns, etc.) is also recorded.

[0223] Step 2:

[0224] The device acquires the user's input data and sends it to the server, along with the behavioral data.

[0225] Step 3:

[0226] The server receives the user's input data and behavioral data sent from the terminal and stores them in a database.

[0227] Step 4:

[0228] The server analyzes the stored data using natural language processing technology to extract business objectives, design preferences, and target audience requirements.

[0229] Step 5:

[0230] The emotion engine installed on the server analyzes the user's input behavior data and recognizes the emotions the user is feeling (e.g., "anxiety," "satisfaction," "excitement," etc.). The emotional information recognized here is reflected in the website design.

[0231] Step 6:

[0232] The server selects an appropriate design template and CSS style based on the extracted requirements and emotion information. For example, if a "simple and modern" design is desired and the emotion "satisfied" is recognized, a template using a white-based color scheme and sans-serif fonts will be selected.

[0233] Step 7:

[0234] The server defines the specific HTML structure and creates templates with the selected CSS styles applied, including layouts for the "cafe homepage," "menu page," and "gallery page."

[0235] Step 8:

[0236] The server generates or selects content (text, images, videos, etc.) according to the user's business details and emotional information, including, for example, a cafe menu, store photos, and staff introductions.

[0237] Step 9:

[0238] The server places the generated content on an HTML template to build a web page, and also sets meta tags and implements SEO measures to create a web page that is optimized for search engines.

[0239] Step 10:

[0240] The server then performs a usability assessment on the generated web pages, checking things like page load speed, ease of navigation, and whether or not they incorporate responsive design.

[0241] Step 11:

[0242] The server generates usability improvement suggestions, taking into account the user's emotional information collected through the emotion engine. For example, it suggests "improving page load speed by compressing images" or "improving user operability by rearranging the navigation menu." It also makes specific suggestions, such as "highlighting the FAQ page if the user is feeling anxious."

[0243] Step 12:

[0244] The server outputs the generated design proposals, content, and usability improvement proposals in HTML and CSS format and sends them to the terminal.

[0245] Step 13:

[0246] The device displays the HTML and CSS received from the server in a browser and provides a preview to the user, who can then check the preview and provide feedback or correction requests as needed.

[0247] Step 14:

[0248] The server receives the user's feedback and performs another analysis and revision process. The analysis also uses an emotion engine, incorporating additional emotion information gained through user feedback. Through this process, a high-quality website based on the user's specific requirements and emotion information is finally completed.

[0249] Example 2

[0250] 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."

[0251] Conventional website creation systems have the problem that it is extremely difficult to create high-quality, highly usable websites when users lack specialized knowledge. Furthermore, they lack the ability to generate designs and content that take user emotions into consideration, which prevents sufficient user satisfaction. In addition, usability evaluation and the generation of improvement suggestions are often performed manually, hindering efficient website management.

[0252] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0253] In this invention, the server includes means for acquiring from a user information such as business objectives, design preferences, target audience, and behavioral data at the time of user input, means for analyzing the acquired information and behavioral data and recognizing the user's emotions, means for extracting requirements necessary for website design using natural language processing technology based on the analyzed data and emotional information, means for generating website design proposals and content based on the extracted requirements and emotional information, and means for providing the generated design proposals and content to the user and displaying them as previews. This makes it possible to create and operate a high-quality, highly usable website that takes user emotions into consideration, even without specialized knowledge.

[0254] "Business Objective" is the business goal or intent that the user is trying to achieve.

[0255] "Design preferences" are individual preferences regarding the appearance and style of a website that a user desires.

[0256] "Target audience" is the specific demographic or market segment that a website primarily targets.

[0257] "Behavioral data" refers to data related to a user's input behavior (e.g., typing speed, mouse movement patterns, etc.).

[0258] An "emotion engine" is an algorithm or system that analyzes user behavior and input data to recognize the user's emotional state.

[0259] "Natural language processing technology" is an artificial intelligence technology for understanding, generating, and analyzing natural language.

[0260] "Requirements" refers to the specifications and conditions necessary for the design of a website.

[0261] "Design Proposal" means a blueprint or proposal for the layout and style of the website.

[0262] "Content" refers to the information elements such as text, images, and videos displayed on a website.

[0263] "Usability" refers to the ease of use and operability of a website.

[0264] "Improvement Suggestions" are specific suggestions or advice for improving the usability or design of a website.

[0265] "Feedback" refers to information such as ratings, opinions, and correction requests provided by users.

[0266] "Preview" is a feature that displays website design ideas and content so that users can check them.

[0267] This invention provides a system that enables users to easily create and operate high-quality, highly usable websites without specialized knowledge. This system includes a series of processes: collecting user-entered information, recognizing emotions, analyzing data, generating design proposals and content, evaluating usability, generating and displaying improvement suggestions, and accepting user feedback to reanalyze and regenerate the content.

[0268] User input information collection and emotion recognition

[0269] Users access the system using a web browser and enter their business purpose (e.g., "small cafe"), design preferences (e.g., "simple and modern"), and target audience (e.g., "local young adults") into a web form. The device captures this information entered by the user and sends it to the server via a secure HTTP request (e.g., HTTPS).

[0270] Receiving and storing data

[0271] The server receives the HTTP request sent from the device and extracts the user's input data from the request body. The server executes SQL queries to store the extracted data in a database management system (e.g., MySQL, PostgreSQL). At the same time, it also records the user's input behavior data (e.g., typing speed, mouse movement patterns, etc.) and sends this data to a proprietary emotion engine.

[0272] Emotion Recognition and Analysis

[0273] The emotion engine (e.g., a machine learning model implemented in Python) installed on the server analyzes the user's input data and behavioral data to recognize the user's emotions (e.g., "anxiety," "satisfaction," "excitement," etc.). The recognized emotion information is stored in a database and used for subsequent analysis and design generation.

[0274] Data analysis and requirements extraction

[0275] The server analyzes the data using natural language processing technology (e.g., GPT-3, BERT, etc.) based on the stored user data and sentiment information, and extracts requirements based on business objectives, design preferences, target audience, and user sentiment from the analysis results.

[0276] Design proposals and content generation

[0277] The server selects an appropriate design template and CSS style based on the extracted requirements and emotional information. For example, if a user prefers a "simple and modern" design and has the emotion "satisfied," it selects a white-based color scheme and sans-serif font. The server defines the specific HTML structure and creates a template that applies the selected CSS style. For example, it designs layouts for a "cafe homepage," "menu page," "gallery page," and so on. It also generates or selects content (e.g., cafe menu, store photos, staff introductions, etc.) that corresponds to the user's business.

[0278] Usability analysis and emotional evaluation

[0279] The server evaluates the usability of the generated web pages, specifically by checking page load speed, ease of navigation, and the application of responsive design. It also collects users' emotional evaluations of usability through an emotion engine.

[0280] Output and display of improvement suggestions

[0281] The server generates improvement suggestions based on the usability evaluation results and emotional evaluation. For example, it makes specific suggestions such as "improve page load speed by compressing images" or "improve user operability by rearranging the navigation menu." It also generates suggestions such as "highlight the FAQ page if the user is feeling uneasy." The generated design proposals, content, and usability improvement suggestions are output in HTML and CSS format and sent to the terminal. The terminal displays the HTML and CSS received from the server in a browser and provides a preview to the user.

[0282] Accepting user feedback and making improvements

[0283] The server receives the user's feedback and performs another analysis and modification process, resulting in a final website based on the user's specific requirements and sentiment information.

[0284] Specific prompt examples

[0285] "Generate the design and content for a website for a small cafe. The business's objective is to attract customers, the design preference is simple and modern, and the target audience is local young adults. Use an emotion engine to consider user emotions."

[0286] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0287] Step 1:

[0288] Users access the system using a web browser and enter information about their business objectives, design preferences, and target audience into a web form. The entered data (business objectives, design preferences, target audience) is stored in the device's memory.

[0289] Step 2:

[0290] The device takes the data entered by the user and sends it to the server via a secure HTTP request (e.g., HTTPS). A request body containing the input data (business objectives, design preferences, target audience) is created and sent.

[0291] Step 3:

[0292] The server receives the HTTP request sent from the terminal and extracts the user's input data from the request body. The input data is temporarily stored in the server's memory.

[0293] Step 4:

[0294] The server executes SQL queries to store the extracted data in a database management system (e.g., MySQL, PostgreSQL). The SQL queries store the input data in the database.

[0295] Step 5:

[0296] The server records the user's input behavior data (e.g., typing speed, mouse movement patterns, etc.) and sends this to a proprietary emotion engine.

[0297] Step 6:

[0298] The emotion engine installed on the server analyzes the user's emotional state (e.g., "anxiety," "satisfaction," "excitement," etc.) using input data and behavioral data. Emotional information (e.g., "expectation") is generated and stored in the server's memory.

[0299] Step 7:

[0300] The server executes an SQL query to store the user's emotional information obtained as a result of the analysis in a database. The emotional information is stored in the database by the SQL query.

[0301] Step 8:

[0302] The server analyzes the data using natural language processing technology (e.g., GPT-3, BERT, etc.) based on the stored user data and emotional information. User data and emotional information are given as input to the natural language processing model, and requirements based on business objectives, design preferences, target audience, and user emotions are extracted as analysis results.

[0303] Step 9:

[0304] The server selects an appropriate design template and CSS style based on the extracted requirements and sentiment information. This selection is performed by an algorithm, and the selected template and CSS style are output.

[0305] Step 10:

[0306] The server creates a template that defines the specific HTML structure and applies the selected CSS styles. The HTML structure and CSS styles are combined to generate the layout of the web page.

[0307] Step 11:

[0308] The server generates or selects content according to the user's business (e.g., cafe menu, store photos, staff introductions, etc.). The generated / selected content is incorporated into an HTML template.

[0309] Step 12:

[0310] The server evaluates the usability of the generated web pages, measuring items such as page load speed, ease of navigation, and application of responsive design, and then compiles the results.

[0311] Step 13:

[0312] The server collects users' emotional evaluations of usability through an emotion engine, which analyzes the emotion information based on the usability evaluations and outputs the collected emotional evaluation data.

[0313] Step 14:

[0314] The server generates improvement suggestions based on the usability evaluation results and emotional evaluation, such as improving page load speed or rearranging the navigation menu.

[0315] Step 15:

[0316] The server outputs the generated design proposals, content, and usability improvement proposals in HTML and CSS format and sends them to the terminal.

[0317] Step 16:

[0318] The device displays the HTML and CSS received from the server in a browser and provides a preview to the user, who can then review the preview and provide feedback or correction requests if necessary.

[0319] Step 17:

[0320] The server receives the user feedback and runs the analysis and revision process again, generating new design ideas and content to create the final website.

[0321] (Application example 2)

[0322] 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."

[0323] Conventional website generation systems generate websites based on a user's business objectives, design preferences, and target audience, but do not support content generation that takes user emotions and feedback into account. Furthermore, usability evaluation and improvement suggestions are limited, making it difficult to provide optimal websites. The objective of this invention is to solve these problems by proposing a system that understands user emotions and provides optimal design proposals and content.

[0324] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0325] In this invention, the server includes means for acquiring information on business objectives, design preferences, and target audience from a user, means for analyzing the acquired information and extracting requirements for website design, means for analyzing the user's emotional state using an emotion recognition engine, means for generating website design proposals and content based on the extracted requirements and the analyzed emotional information, means for inputting prompt sentences into a generative AI model to generate optimized design proposals and content, and means for providing the generated design proposals and content to the user. This makes it possible to generate high-quality, highly usable websites that also take user emotions and feedback into consideration.

[0326] "Business Objectives" are the specific business goals or intentions that users want to achieve through the website.

[0327] "Design preferences" refers to the website design style and visual expression that users prefer.

[0328] A "target audience" is a specific audience or user group that a website targets.

[0329] An "emotion recognition engine" is software that analyzes user input and behavioral data to automatically recognize a user's emotional state.

[0330] "Requirements extraction" is the process of identifying the conditions and features necessary for website design from user input and emotional information.

[0331] A "generative AI model" is an artificial intelligence model that generates optimal website design proposals and content based on user requirements and emotional information.

[0332] A "prompt" is a textual instruction that is entered to give instructions to a generative AI model.

[0333] A "design proposal" is a specific proposal or plan for the layout and visual design of a website.

[0334] "Content" refers to all information displayed on the website, including text, images, and videos.

[0335] "Usability evaluation" is the process of evaluating how easy a generated website is to use and how convenient it is for users.

[0336] "Improvement Suggestions" are specific advice or suggested modifications to improve the performance or usability of a website, based on the results of the usability evaluation.

[0337] System configuration

[0338] In this invention, the specific system for implementing the invention collects user input information, analyzes the data and recognizes emotions, generates design proposals and content, evaluates usability, and proposes improvements. The components of the system and their specific operations are shown below.

[0339] Collecting user-entered information

[0340] Users use a smartphone, tablet, or head-mounted display (HMD) to fill out a web form with information about their business objectives, design preferences, and target audience, which is then sent from the device to a server.

[0341] Data analysis and emotion recognition

[0342] The server receives the information sent by the user and stores it in a database. At the same time, it also records the user's input behavior (typing speed, mouse movement patterns, etc.) and sends this to an emotion recognition engine. The emotion recognition engine analyzes the input data and behavioral data to recognize the user's emotions (excitement, anticipation, anxiety, etc.). Natural language processing libraries such as TextBlob are used for emotion analysis.

[0343] Design proposals and content generation

[0344] Based on the analyzed data and emotional information, the server inputs prompts into a generative AI model to generate design proposals and content. OpenAI's API is used as the generative AI model. An example prompt might be "Business purpose: small cafe, Design preference: simple and modern, Target audience: local young adults, Emotion: excitement."

[0345] The generated design proposals include, for example, a simple and modern layout using a white-based color scheme and sans-serif font, as well as content such as specific cafe menus, photos, and videos.

[0346] Usability evaluation and improvement suggestions

[0347] The server evaluates the usability of the generated website. Evaluation criteria include page load speed, ease of navigation, and the application of responsive design. An emotion recognition engine also collects the user's emotional evaluation of usability. Based on this, the server generates specific improvement suggestions and provides them to the user.

[0348] Hardware and software used

[0349] Hardware: smartphone, tablet, HMD (e.g. Oculus Rift)

[0350] Software: Python 3, openai library, TextBlob

[0351] The program performs sentiment analysis based on user input, and then generates optimized design proposals and content using a generative AI model. This allows users to easily create and operate high-quality websites that match their emotions.

[0352] Specific examples

[0353] For example, if a user wants to create a website for a "small cafe," the server will obtain the user's input information on "business objectives," "design preferences," and "target audience," and use an emotion recognition engine to recognize the user's "excitement" and "expectation." The server then inputs the following prompt sentences into the generative AI model to generate a design proposal:

[0354] "Business purpose: Small cafe, Design preference: Simple and modern, Target audience: Local young adults, Emotion: Excitement"

[0355] Based on this prompt, a simple and modern layout using a white-based color scheme and sans-serif font is generated, along with other content such as the cafe menu, store photos, and staff introductions.

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

[0357] Step 1:

[0358] Users use a smartphone, tablet, or HMD to enter information about their business purpose, design preferences, and target audience into a web form. The server receives this information from the device and stores it in a database. At this stage, the input data includes the business purpose ("small cafe"), design preference ("simple and modern"), and target audience ("local young adults").

[0359] Inputs: User-supplied business objectives, design preferences, and target audience

[0360] Output: User-entered data stored on the server

[0361] Step 2:

[0362] The server records the user's input behavior data (such as typing speed and mouse movement patterns) and sends it to the emotion recognition engine, which analyzes this behavior data and recognizes the user's emotional state (excitement, anticipation, anxiety, etc.).

[0363] Input: User input behavior data

[0364] Output: Analyzed user sentiment information

[0365] Step 3:

[0366] The server uses natural language processing technology to extract website design requirements based on the stored user input data and the recognized emotion information. For example, the server can extract appropriate design templates and layout requirements based on the user's business objectives and design preferences.

[0367] Input: Stored user input data, recognized emotion information

[0368] Output: Extracted website design requirements

[0369] Step 4:

[0370] The server inputs prompts into a generative AI model based on the extracted requirements and recognized emotion information to generate optimized design proposals and content. The generative AI model used here uses OpenAI's API. An example prompt is "Business purpose: small cafe, Design preference: simple and modern, Target audience: local young adults, Emotion: excitement."

[0371] Input: Extracted website design requirements, recognized emotional information

[0372] Output: A prompt to be input to the generative AI model

[0373] Step 5:

[0374] The generative AI model generates optimized design ideas and content based on the prompt, including, for example, a white-based color scheme, the use of sans-serif fonts, specific cafe menu items, photos, and videos.

[0375] Input: The prompt text entered into the generative AI model

[0376] Output: Generated design proposals and content

[0377] Step 6:

[0378] The server provides the generated design proposals and content to the user, who can then preview and check them on their device.

[0379] Input: Generated design ideas and content

[0380] Output: A preview screen provided to the user

[0381] Step 7:

[0382] Users provide feedback on the generated design proposals and content, which the server accepts, reanalyzes, and regenerates, resulting in an optimized website based on user feedback.

[0383] Input: User feedback

[0384] Output: Re-analyzed and re-generated website design proposals and content

[0385] Step 8:

[0386] Finally, the server evaluates the usability and provides suggestions for improving the generated website, such as page load speed, ease of navigation, and the use of responsive design.

[0387] Input: Generated website design ideas and content

[0388] Output: Usability evaluation, improvement suggestions

[0389] This series of processes generates a high-quality, highly usable website that reflects user emotions and feedback.

[0390] 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.

[0391] 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.

[0392] 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.

[0393] [Second embodiment]

[0394] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0395] 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.

[0396] 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).

[0397] 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.

[0398] 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.

[0399] 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).

[0400] 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.

[0401] 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.

[0402] 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.

[0403] 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.

[0404] 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.

[0405] 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."

[0406] Collecting user-entered information

[0407] Users enter required information through a web form, including the purpose of their business (e.g., "small cafe"), design preferences (e.g., "simple and modern"), and target audience (e.g., "local young adults"). The device receives this input data and sends it to the server.

[0408] Receiving and storing data

[0409] The server receives the data sent by the user and stores it in a database, where it is prepared for use in subsequent analysis processes.

[0410] Data analysis and requirements extraction

[0411] The server applies natural language processing (NLP) to the stored data to analyze the input. From the analysis results, requirements such as the business's purpose, design preferences, and target audience are extracted. For example, a "small cafe" may require specific elements in its marketing strategy, and a "simple and modern design" may be set as the site's visual theme, with the services offered primarily targeted at "local young adults."

[0412] Design proposals and content generation

[0413] 1. The server selects an appropriate design template and style sheet (CSS) based on the extracted requirements. For example, if a "simple and modern" design is required, it generates a CSS style that uses a white-based color scheme and sans-serif fonts.

[0414] 2. The server creates a template that defines the specific HTML structure and applies the selected CSS styles, creating a layout that includes, for example, a "cafe homepage," a "menu page," and a "gallery page."

[0415] 3. The server generates or selects content (text, images, videos, etc.) based on the user's business. This may include, for example, a cafe menu, store photos, and staff introductions. This content is placed on an HTML template and built into a web page. Meta tags and SEO (search engine optimization) are also set.

[0416] Usability analysis and improvement suggestions

[0417] The server evaluates the usability of the generated web page. For example, it checks the page load speed, ease of navigation, and the application of responsive design. Based on this, it makes suggestions for improving usability. For example, it provides specific suggestions such as "improving page load speed by compressing images" or "improving user operability by rearranging the navigation menu."

[0418] Sending and displaying proposal results

[0419] The server generates the proposed results in HTML and CSS format and sends them to the device. The device receives the results and displays them as a preview in the browser. The user can check the actual preview and send correction requests or feedback as needed.

[0420] Accepting user feedback and making improvements

[0421] The server receives feedback from the user, then performs a re-analysis and re-generation process and provides the revised website, allowing the user to create their ideal website.

[0422] Specific examples

[0423] If a user wants to create a website for a "small cafe," they can enter their business objective as "attracting customers," their design preference as "simple and modern," and their target audience as "local young adults." After receiving this information, the server analyzes it using natural language processing technology and generates an appropriate design template (white base, sans-serif font) and content specific to the cafe (menu, photos, blog posts). It then builds a highly usable website and suggests improvements based on the user's requests. Finally, it receives user feedback and makes any necessary modifications to create the optimal website.

[0424] In this way, the present invention provides a system that enables users to easily create and operate high-quality, highly usable websites without having specialized knowledge.

[0425] The processing flow will be explained below.

[0426] Step 1:

[0427] Users fill out a web form to describe their business purpose (e.g., "small cafe"), design preferences (e.g., "simple and modern"), and target audience (e.g., "local young adults").

[0428] Step 2:

[0429] The terminal acquires the data entered by the user and transmits it to the server.

[0430] Step 3:

[0431] The server receives the user data sent from the device and stores it in a database, which is then ready for subsequent analysis.

[0432] Step 4:

[0433] The server analyzes the stored data using natural language processing technology, extracting requirements such as business objectives, design preferences, and target audience.

[0434] Step 5:

[0435] The server selects an appropriate design template and CSS style based on the extracted requirements. For example, if a "simple and modern" design is required, it selects a style that uses a white-based color scheme and sans-serif font.

[0436] Step 6:

[0437] The server defines the specific HTML structure and creates templates with the selected CSS styles applied, including layouts for the "cafe homepage," "menu page," and "gallery page."

[0438] Step 7:

[0439] The server generates or selects content (text, images, videos, etc.) according to the user's business, such as a cafe menu, store photos, and staff introductions.

[0440] Step 8:

[0441] The server places the generated content on an HTML template to build a web page, and also sets meta tags and implements SEO to create a web page optimized for search engines.

[0442] Step 9:

[0443] The server evaluates the generated web pages for usability, checking, for example, page load speed, ease of navigation, and the application of responsive design.

[0444] Step 10:

[0445] The server generates improvement suggestions based on the usability evaluation results, such as "improving page load speed by compressing images" or "improving user experience by rearranging the navigation menu."

[0446] Step 11:

[0447] The server outputs the generated design proposals, content, and usability improvement proposals in HTML and CSS format and sends them to the terminal.

[0448] Step 12:

[0449] The device displays the HTML and CSS received from the server in a browser and provides a preview to the user, who can then check the preview and provide feedback or correction requests as needed.

[0450] Step 13:

[0451] The server receives the user's feedback and runs the analysis and revision process again, resulting in a final website based on the user's specific requirements.

[0452] Example 1

[0453] 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."

[0454] Conventional website construction methods require specialized knowledge and skills, making it difficult for many users to easily create high-quality websites. Furthermore, usability evaluation and regeneration based on feedback are time-consuming and difficult to respond to quickly. For this reason, a system was needed that could efficiently construct websites that meet users' business requirements and design preferences, and make appropriate improvements.

[0455] 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.

[0456] In this invention, the server includes means for acquiring information from users regarding the purpose of their commercial activities, design preferences, and target customer demographics; means for analyzing the acquired information and extracting requirements for website construction; and means for generating website design proposals and content based on the extracted requirements. This allows users to easily create high-quality websites that meet their business requirements, even without specialized knowledge. Furthermore, by further providing means for accepting user feedback, reanalyzing and regenerating the website, and means for evaluating the usability of the generated website and outputting improvement suggestions, prompt and appropriate improvements can be made.

[0457] "Commercial Purpose" refers to the business goals or intentions that a user wishes to achieve through a website.

[0458] "Design preferences" refers to the visual and functional design style of a website that a user desires.

[0459] "Target Audience" refers to the specific customer group or market segment you wish to reach through your website.

[0460] "Means of obtaining information" refers to the methods and tools used to collect data and information entered by users.

[0461] "Means of extracting requirements" refers to methods and tools for analyzing the acquired information and extracting the elements and conditions necessary for building a website.

[0462] "Means for generating design proposals and content" refers to methods and tools for creating website layouts and content based on extracted requirements.

[0463] "Means for receiving feedback" refers to the methods and tools used to receive feedback and improvement requests from users.

[0464] "Means for reanalysis and regeneration" refers to methods and tools for reanalyzing data based on received feedback and reconstructing the website's design and content.

[0465] "Usability evaluation measures" refers to methods and tools used to evaluate the usability and performance of the generated website.

[0466] "Means for outputting improvement proposals" refers to methods and tools for creating and providing specific improvement proposals based on usability evaluations.

[0467] This invention provides a system that enables users to easily create and operate high-quality websites without specialized knowledge. This system includes the following processes: collecting user-entered information, receiving and saving data, analyzing data and extracting requirements, generating design proposals and content, analyzing usability and proposing improvements, sending and displaying the results of the proposals, and receiving and improving user feedback.

[0468] Collecting user-entered information

[0469] The user enters necessary information such as the purpose of their business, design preferences, and target customer demographics through a web form. For example, the user may enter "customer attraction" as the "purpose of their business," "simple and modern" as the "design preference," and "local young adults" as the "target customer demographic." The terminal receives this input data and sends it to the server.

[0470] Receiving and storing data

[0471] The server receives the data submitted by the user and stores it in a database system such as MySQL or PostgreSQL, where it is prepared for use in subsequent analysis processes.

[0472] Data analysis and requirements extraction

[0473] The server applies natural language processing (NLP) techniques to the stored data and analyzes the acquired information. For example, it uses Python's NLTK or Spacy libraries to analyze text data and extract requirements such as the business's purpose, design preferences, and target customer demographic. For example, if the business purpose is entered as "small cafe," specific marketing and design requirements are extracted based on this information.

[0474] Design proposals and content generation

[0475] The server selects appropriate design templates and cascading style sheets (CSS) based on the extracted requirements. For example, it uses a CSS framework such as Bootstrap, and if a "simple and modern design" is required, it uses a white-based color scheme and sans-serif font. It also generates a specific HTML structure and creates templates for the top page, menu page, gallery page, etc. Furthermore, it uses Python libraries and generative AI models (e.g., GPT-3) to generate or select content (menus, photos, blog articles, etc.) according to the user's business, and also sets meta tags for SEO purposes.

[0476] Usability analysis and improvement suggestions

[0477] The server evaluates the usability of the generated web pages using tools such as Google Lighthouse. For example, it checks the page load speed, ease of navigation, and application of responsive design, and generates specific improvement suggestions based on the results. For example, "improve page load speed by compressing images" or "rearrange the navigation menu to improve user experience."

[0478] Sending and displaying proposal results

[0479] The server generates the results in HTML and CSS format that reflect the improvement suggestions and sends them to the device. The device receives the results and displays them as a preview in the browser. The user can check the preview and provide feedback if necessary.

[0480] Accepting user feedback and making improvements

[0481] The server receives feedback from the user and performs the re-analysis and re-generation process. For example, if the user sends feedback saying "the navigation menu is difficult to understand," the server will improve that part and re-generate the website. This allows the user to create the ideal website.

[0482] Specific examples

[0483] If a user wants to create a website for a "small cafe," they can enter their business objective as "attracting customers," their design preference as "simple and modern," and their target customer demographic as "local young adults." After receiving this information, the server analyzes it using natural language processing technology and generates an appropriate design template (white base, sans-serif font) and cafe-specific content (menu, photos, blog posts). It then builds a user-friendly website and suggests improvements based on the user's requests. Finally, it receives user feedback and makes any necessary modifications to create an optimal website.

[0484] An example of a prompt for the generative AI model we will use:

[0485] "I would like to create a website for a small cafe. The purpose of my commercial activities is to attract customers, my design preference is simple and modern, and my target customer base is young adults in the local area. I would like you to generate the optimal design template and content based on this information. I would also like you to build a user-friendly website and provide suggestions for improvements."

[0486] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0487] Step 1: Collecting User-Input Information

[0488] The user enters information such as the purpose of their business, design preferences, and target customer demographic into a web form. For example, the "purpose of business" could be "attracting customers," the "design preferences" could be "simple and modern," and the "target customer demographic" could be "local young adults." The device receives this input data in real time and sends it to the server. The input is the user's information (purpose of business, design preferences, target customer demographic), and the output is the input data sent to the server.

[0489] Step 2: Receiving and storing data

[0490] The server receives the user data sent from the device and stores it in a database. Specifically, it uses a database system such as MySQL or PostgreSQL to efficiently store the received data. The input is the data sent from the device, and the output is the user information stored in the database.

[0491] Step 3: Data analysis and requirements extraction

[0492] The server applies natural language processing (NLP) techniques to the user data stored in the database. Specifically, it uses Python's NLTK and Spacy libraries to analyze text data and extract requirements related to the business's objectives, design preferences, and target customer demographics. For example, for a business objective of "small cafe," the analysis analyzes marketing strategies and design requirements. The input is the stored user data, and the output is the extracted requirements.

[0493] Step 4: Design proposals and content generation

[0494] 1. The server selects the optimal design template and CSS stylesheet based on the extracted requirements. For example, if a "simple and modern design" is required using a CSS framework such as Bootstrap, a white-based color scheme and sans-serif fonts will be used. The extracted requirements are the input, and the selected design template and CSS are the output.

[0495] 2. The server generates a specific HTML structure and applies the selected CSS styles to create a web page template. For example, a top page, menu page, gallery page, etc. are defined using HTML and CSS. The input is the selected design template and extracted requirements, and the output is the generated HTML and CSS templates.

[0496] 3. The server generates or selects content based on the user's business. Specifically, it uses Python libraries and generative AI models (e.g., GPT-3) to generate cafe menus, store photos, blog articles, etc., and sets meta tags for SEO purposes. The inputs are extracted requirements and analyzed data, and the output is generated content and meta tags.

[0497] Step 5: Usability analysis and improvement suggestions

[0498] The server evaluates the usability of the generated web page using tools such as Google Lighthouse. Specifically, it checks the page load speed, ease of navigation, and application of responsive design, and makes specific improvement suggestions based on the results. For example, "Improve page load speed by compressing images" or "Improve user experience by rearranging the navigation menu." The input is the generated web page, and the output is the generated improvement suggestions.

[0499] Step 6: Submit and view the proposal results

[0500] The server generates the results reflecting the improvement suggestions in HTML and CSS format and sends them to the terminal. The terminal receives this result and displays it as a preview in the browser. The user checks this preview and provides feedback if necessary. The input is the generated improvement suggestions and the modified web page, and the output is the preview displayed in the browser.

[0501] Step 7: Accept user feedback and make improvements

[0502] The server receives feedback from the user and performs a re-analysis and re-generation process. For example, if the user gives feedback that "the navigation menu is difficult to understand," the server makes corrections based on this opinion and re-generates the website. The input is the user's feedback, and the output is the corrected website. This allows the user to complete their ideal website.

[0503] (Application example 1)

[0504] 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."

[0505] In order for brick-and-mortar stores, especially small stores, to effectively attract customers and conduct marketing, it is necessary to quickly and easily create high-quality, highly usable websites. However, for users without specialized knowledge or skills, designing websites and generating content is not easy. It is also difficult to evaluate the usability of the created websites and make appropriate improvements. A system that can solve these user problems and efficiently operate websites is needed.

[0506] 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.

[0507] In this invention, the server includes means for acquiring information on business objectives, design preferences, and target audiences from users, means for analyzing the acquired information and extracting requirements for website design, means for generating website design proposals and content based on the extracted requirements, means for providing the generated design proposals and content to users, means for realizing the above functions as an application to be installed on a smartphone, and means for analyzing data using natural language processing technology and selecting design templates and style sheets. This enables even users without specialized knowledge or skills to quickly and easily create high-quality, highly usable websites, and further enables optimal website management through usability evaluations and improvement suggestions.

[0508] "User" refers to any business owner or individual who wants to create a website.

[0509] "Business Objective" refers to the goal or intention that a user wants to achieve through a website.

[0510] "Design preferences" refers to the specific tastes and requirements a user has for the appearance and style of a website.

[0511] "Target audience" refers to the specific customer or audience that your website primarily wants to attract.

[0512] "Means of collection" refers to the methods and tools used to collect specific information from users.

[0513] "Means for analyzing and extracting requirements for website design" refers to methods and techniques for analyzing collected information and deriving specific conditions and elements necessary for website design.

[0514] "Means for generating website design proposals and content" refers to methods and tools for creating website layouts and content based on extracted requirements.

[0515] "Means of provision" refers to the methods and technologies used to notify or display the generated website design proposals and content to users.

[0516] "Applications installed on smartphones" refers to software that realizes the above functions and is provided in a format that runs on smartphones.

[0517] "Natural language processing technology" refers to artificial intelligence technology for analyzing and interpreting text data entered by users.

[0518] "Design template" refers to a predefined layout or style that defines the basic structure and appearance of a website.

[0519] A "style sheet" refers to a set of rules that define the visual design elements (e.g., colors, fonts, layout) of a website.

[0520] "Usability" refers to the ease of use and operation of a website.

[0521] "Means for evaluation and outputting improvement suggestions" refers to methods and technologies for analyzing the usability of the generated website and providing specific suggestions for its improvement.

[0522] Collecting user-entered information

[0523] Users input the necessary information through an application installed on their smartphone, such as the business's purpose (e.g., "cafe"), design preferences (e.g., "simple and modern"), and target audience (e.g., "young adults"). The device receives this input data and sends it to the server.

[0524] Receiving and storing data

[0525] The server receives the data submitted by the user and stores it in an SQLite database, where it is prepared for use in the subsequent analysis process.

[0526] Data analysis and requirements extraction

[0527] The server applies natural language processing (TextBlob) to the stored data to analyze the input. From the analysis results, requirements such as the business's purpose, design preferences, and target audience are extracted. For example, a "small cafe" may require specific elements in its marketing strategy, and a "simple and modern design" may be set as the site's visual theme, with the services offered primarily targeted at "local young adults."

[0528] Design proposals and content generation

[0529] The server selects an appropriate design template and style sheet (CSS) based on the extracted requirements. For example, if a "simple and modern" design is desired, it generates a CSS style that uses a white-based color scheme and sans-serif font. It also defines a specific HTML structure and creates a template that applies the selected CSS style. For example, it creates a layout that includes a "cafe homepage," "menu page," and "gallery page." The generated content includes the cafe menu, store photos, and staff introductions.

[0530] Usability analysis and improvement suggestions

[0531] The server evaluates the usability of the generated web page. For example, it checks the page load speed, ease of navigation, and the application of responsive design. Based on this, it makes suggestions for improving usability. For example, it provides specific suggestions such as "improving page load speed by compressing images" or "improving user operability by rearranging the navigation menu."

[0532] Sending and displaying proposal results

[0533] The server generates the proposed results in HTML and CSS format and sends them to the device. The device receives the results and displays them as a preview in the browser. The user can check the actual preview and send correction requests or feedback as needed.

[0534] Accepting user feedback and making improvements

[0535] The server receives feedback from the user, then performs a re-analysis and re-generation process and provides the modified website, allowing the user to create their ideal website.

[0536] Specific examples

[0537] If a user wants to create a website for a small cafe, they input their business purpose as "cafe," their design preference as "simple and modern," and their target audience as "local young adults." After receiving this information, the server analyzes it using natural language processing technology and generates an appropriate design template (white background, sans-serif font) and content specific to the cafe (menu, photos, blog posts). For example, the following prompt might be used:

[0538] Design a simple and modern website for a cafe business targeting local young adults. The template should use a white color scheme and sans-serif font, and generate pages that include a menu, photos of the store, and staff introductions.

[0539] The server builds a highly usable website, proposes improvements based on user requests, and finally receives user feedback and makes any necessary modifications to complete the optimal website.

[0540] In this way, by implementing the present invention, users can easily create and operate high-quality, highly usable websites without any specialized knowledge.

[0541] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0542] Step 1:

[0543] Users enter their business purpose (e.g., "cafe"), design preferences (e.g., "simple and modern"), and target audience (e.g., "young adults") through an application installed on their smartphone. This information is received by the device and sent to the server. The input data is in text format, and the device prepares it to be sent to the server.

[0544] Step 2:

[0545] The device sends the received user input data to the server, which receives the data in text format and stores it in an SQLite database, preparing the data for subsequent analysis processes.

[0546] Step 3:

[0547] The server applies natural language processing (TextBlob) to the stored data to analyze the input content. At this time, requirements such as business objectives, design preferences, and target audience are extracted. Data processing involves analyzing the input text and performing data calculations to extract specific keywords and phrases to identify requirements. For example, the input "cafe" can identify the category "food and beverage industry."

[0548] Step 4:

[0549] The server uses a generative AI model based on the extracted requirements to select an appropriate design template and style sheet (CSS). Specifically, a white-based color scheme and sans-serif font style is selected based on the requirement of "simple and modern." The selection process is carried out by a design template selection algorithm.

[0550] Step 5:

[0551] The server defines the specific HTML structure using the design template and CSS stylesheet, creates a template with the specified style applied, and generates or selects content (text, images, videos, etc.) according to the user's business and places it on the HTML template. This process includes reading from a database and using content generation algorithms.

[0552] Step 6:

[0553] The server evaluates the usability of the generated website. The evaluation includes factors such as page load speed, ease of navigation, and the application of responsive design. Based on the evaluation results, it generates suggestions for improving usability. Examples of suggestions include "improving page load speed by compressing images" and "improving user experience by rearranging the navigation menu."

[0554] Step 7:

[0555] The server generates the website design and content along with the proposed results in HTML and CSS format and sends them to the device. The device receives the results and displays them as a preview in the browser. The user can check the preview and submit correction requests or feedback as needed.

[0556] Step 8:

[0557] The server receives the user's feedback, performs a re-analysis and re-generation process, generates a revised website, and sends it back to the terminal, thus completing the optimal website based on the user's feedback.

[0558] 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.

[0559] User input information collection and emotion recognition

[0560] Users fill out a web form with information about their business purpose (e.g., "small cafe"), design preferences (e.g., "simple and modern"), and target audience (e.g., "local young adults"). The device captures the user's input data and sends it to the server.

[0561] Receiving and storing data

[0562] The server receives the user data sent from the device and stores it in a database. At the same time, it also records the user's input behavior (e.g., typing speed, mouse movement patterns, etc.) and sends it to the emotion engine.

[0563] Emotion Recognition and Analysis

[0564] The emotion engine installed on the server analyzes user input and behavioral data to recognize the user's emotions (e.g., "anxiety," "satisfaction," "excitement," etc.). The recognized emotional information is reflected in the website design and content generation.

[0565] Data analysis and requirements extraction

[0566] The server uses natural language processing technology to analyze the stored data and the emotional information from the emotion engine, and extracts requirements based on business objectives, design preferences, target audience, and user emotions from the analysis results.

[0567] Design proposals and content generation

[0568] 1. The server selects an appropriate design template and CSS style based on the extracted requirements and emotion information. For example, if the user prefers a "simple and modern" design and has an emotion of "satisfaction," the server selects a style that uses a white-based color scheme and sans-serif font.

[0569] 2. The server creates a template that defines the specific HTML structure and applies the selected CSS styles, including layouts for the "cafe homepage," "menu page," and "gallery page."

[0570] 3. The server generates or selects content (text, images, videos, etc.) that corresponds to the user's business. For example, this may include a cafe menu, store photos, and staff introductions. Furthermore, taking into account the information from the emotion engine, the server selects colors and font sizes that will make the user feel relaxed.

[0571] Usability analysis and emotional evaluation

[0572] The server evaluates the usability of the generated web pages, checking things like page load speed, ease of navigation, and the application of responsive design. It also collects users' emotional evaluations of usability through an emotion engine.

[0573] Output of improvement suggestions

[0574] The server generates improvement suggestions based on the usability evaluation results and emotional evaluations. For example, it suggests "improving page load speed by compressing images" or "improving user experience by rearranging the navigation menu." It also makes specific suggestions such as "highlighting the FAQ page if the user is feeling unsure."

[0575] Sending and displaying proposal results

[0576] The server outputs the generated design proposals, content, and usability improvement suggestions in HTML and CSS format and sends them to the device. The device displays the HTML and CSS received from the server in a browser and provides a preview to the user. The user can check the preview and send feedback or correction requests as necessary.

[0577] Accepting user feedback and making improvements

[0578] The server receives the user's feedback and performs another analysis and modification process, thus completing the final website based on the user's specific requirements and sentiment information.

[0579] Specific examples

[0580] If a user wants to create a website for a "small cafe," they can enter their business objective as "attracting customers," their design preference as "simple and modern," and their target audience as "local young adults." After receiving this information, the server analyzes it using natural language processing technology and uses an emotion engine to recognize the user's emotions of "excitement" and "anticipation." It then generates an appropriate design template (white base, sans-serif font) and cafe-specific content (menu, photos, blog posts) to enhance usability and emotional satisfaction. Based on user feedback, the ideal website is then completed.

[0581] In this way, the present invention provides a system that enables users to easily create and operate high-quality, highly usable websites that take emotional satisfaction into consideration, even if they do not have specialized knowledge.

[0582] The processing flow will be explained below.

[0583] Step 1:

[0584] Users fill out a web form to describe their business purpose (e.g., "small cafe"), design preferences (e.g., "simple and modern"), and target audience (e.g., "local young adults"), while their behavioral data (typing speed, mouse movement patterns, etc.) is also recorded.

[0585] Step 2:

[0586] The device acquires the user's input data and sends it to the server, along with the behavioral data.

[0587] Step 3:

[0588] The server receives the user's input data and behavioral data sent from the terminal and stores them in a database.

[0589] Step 4:

[0590] The server analyzes the stored data using natural language processing technology to extract business objectives, design preferences, and target audience requirements.

[0591] Step 5:

[0592] The emotion engine installed on the server analyzes the user's input behavior data and recognizes the emotions the user is feeling (e.g., "anxiety," "satisfaction," "excitement," etc.). The emotional information recognized here is reflected in the website design.

[0593] Step 6:

[0594] The server selects an appropriate design template and CSS style based on the extracted requirements and emotion information. For example, if a "simple and modern" design is desired and the emotion "satisfied" is recognized, a template using a white-based color scheme and sans-serif fonts will be selected.

[0595] Step 7:

[0596] The server defines the specific HTML structure and creates templates with the selected CSS styles applied, including layouts for the "cafe homepage," "menu page," and "gallery page."

[0597] Step 8:

[0598] The server generates or selects content (text, images, videos, etc.) according to the user's business details and emotional information, including, for example, a cafe menu, store photos, and staff introductions.

[0599] Step 9:

[0600] The server places the generated content on an HTML template to build a web page, and also sets meta tags and implements SEO measures to create a web page that is optimized for search engines.

[0601] Step 10:

[0602] The server then performs a usability assessment on the generated web pages, checking things like page load speed, ease of navigation, and whether or not they incorporate responsive design.

[0603] Step 11:

[0604] The server generates usability improvement suggestions, taking into account the user's emotional information collected through the emotion engine. For example, it suggests "improving page load speed by compressing images" or "improving user operability by rearranging the navigation menu." It also makes specific suggestions, such as "highlighting the FAQ page if the user is feeling anxious."

[0605] Step 12:

[0606] The server outputs the generated design proposals, content, and usability improvement proposals in HTML and CSS format and sends them to the terminal.

[0607] Step 13:

[0608] The device displays the HTML and CSS received from the server in a browser and provides a preview to the user, who can then check the preview and provide feedback or correction requests as needed.

[0609] Step 14:

[0610] The server receives the user's feedback and performs another analysis and revision process. The analysis also uses an emotion engine, incorporating additional emotion information gained through user feedback. Through this process, a high-quality website based on the user's specific requirements and emotion information is finally completed.

[0611] Example 2

[0612] 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."

[0613] Conventional website creation systems have the problem that it is extremely difficult to create high-quality, highly usable websites when users lack specialized knowledge. Furthermore, they lack the ability to generate designs and content that take user emotions into consideration, which prevents sufficient user satisfaction. In addition, usability evaluation and the generation of improvement suggestions are often performed manually, hindering efficient website management.

[0614] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0615] In this invention, the server includes means for acquiring from a user information such as business objectives, design preferences, target audience, and behavioral data at the time of user input, means for analyzing the acquired information and behavioral data and recognizing the user's emotions, means for extracting requirements necessary for website design using natural language processing technology based on the analyzed data and emotional information, means for generating website design proposals and content based on the extracted requirements and emotional information, and means for providing the generated design proposals and content to the user and displaying them as previews. This makes it possible to create and operate a high-quality, highly usable website that takes user emotions into consideration, even without specialized knowledge.

[0616] "Business Objective" is the business goal or intent that the user is trying to achieve.

[0617] "Design preferences" are individual preferences regarding the appearance and style of a website that a user desires.

[0618] "Target audience" is the specific demographic or market segment that a website primarily targets.

[0619] "Behavioral data" refers to data related to a user's input behavior (e.g., typing speed, mouse movement patterns, etc.).

[0620] An "emotion engine" is an algorithm or system that analyzes user behavior and input data to recognize the user's emotional state.

[0621] "Natural language processing technology" is an artificial intelligence technology for understanding, generating, and analyzing natural language.

[0622] "Requirements" refers to the specifications and conditions necessary for the design of a website.

[0623] "Design Proposal" means a blueprint or proposal for the layout and style of the website.

[0624] "Content" refers to the information elements such as text, images, and videos displayed on a website.

[0625] "Usability" refers to the ease of use and operability of a website.

[0626] "Improvement Suggestions" are specific suggestions or advice for improving the usability or design of a website.

[0627] "Feedback" refers to information such as ratings, opinions, and correction requests provided by users.

[0628] "Preview" is a feature that displays website design ideas and content so that users can check them.

[0629] This invention provides a system that enables users to easily create and operate high-quality, highly usable websites without specialized knowledge. This system includes a series of processes: collecting user-entered information, recognizing emotions, analyzing data, generating design proposals and content, evaluating usability, generating and displaying improvement suggestions, and accepting user feedback to reanalyze and regenerate the content.

[0630] User input information collection and emotion recognition

[0631] Users access the system using a web browser and enter their business purpose (e.g., "small cafe"), design preferences (e.g., "simple and modern"), and target audience (e.g., "local young adults") into a web form. The device captures this information entered by the user and sends it to the server via a secure HTTP request (e.g., HTTPS).

[0632] Receiving and storing data

[0633] The server receives the HTTP request sent from the device and extracts the user's input data from the request body. The server executes SQL queries to store the extracted data in a database management system (e.g., MySQL, PostgreSQL). At the same time, it also records the user's input behavior data (e.g., typing speed, mouse movement patterns, etc.) and sends this data to a proprietary emotion engine.

[0634] Emotion Recognition and Analysis

[0635] The emotion engine (e.g., a machine learning model implemented in Python) installed on the server analyzes the user's input data and behavioral data to recognize the user's emotions (e.g., "anxiety," "satisfaction," "excitement," etc.). The recognized emotion information is stored in a database and used for subsequent analysis and design generation.

[0636] Data analysis and requirements extraction

[0637] The server analyzes the data using natural language processing technology (e.g., GPT-3, BERT, etc.) based on the stored user data and sentiment information, and extracts requirements based on business objectives, design preferences, target audience, and user sentiment from the analysis results.

[0638] Design proposals and content generation

[0639] The server selects an appropriate design template and CSS style based on the extracted requirements and emotional information. For example, if a user prefers a "simple and modern" design and has the emotion "satisfied," it selects a white-based color scheme and sans-serif font. The server defines the specific HTML structure and creates a template that applies the selected CSS style. For example, it designs layouts for a "cafe homepage," "menu page," "gallery page," and so on. It also generates or selects content (e.g., cafe menu, store photos, staff introductions, etc.) that corresponds to the user's business.

[0640] Usability analysis and emotional evaluation

[0641] The server evaluates the usability of the generated web pages, specifically by checking page load speed, ease of navigation, and the application of responsive design. It also collects users' emotional evaluations of usability through an emotion engine.

[0642] Output and display of improvement suggestions

[0643] The server generates improvement suggestions based on the usability evaluation results and emotional evaluation. For example, it makes specific suggestions such as "improve page load speed by compressing images" or "improve user operability by rearranging the navigation menu." It also generates suggestions such as "highlight the FAQ page if the user is feeling uneasy." The generated design proposals, content, and usability improvement suggestions are output in HTML and CSS format and sent to the terminal. The terminal displays the HTML and CSS received from the server in a browser and provides a preview to the user.

[0644] Accepting user feedback and making improvements

[0645] The server receives the user's feedback and performs another analysis and modification process, resulting in a final website based on the user's specific requirements and sentiment information.

[0646] Specific prompt examples

[0647] "Generate the design and content for a website for a small cafe. The business's objective is to attract customers, the design preference is simple and modern, and the target audience is local young adults. Use an emotion engine to consider user emotions."

[0648] The flow of the identification process in the second embodiment will be described with reference to FIG.

[0649] Step 1:

[0650] Users access the system using a web browser and enter information about their business objectives, design preferences, and target audience into a web form. The entered data (business objectives, design preferences, target audience) is stored in the device's memory.

[0651] Step 2:

[0652] The device takes the data entered by the user and sends it to the server via a secure HTTP request (e.g., HTTPS). A request body containing the input data (business objectives, design preferences, target audience) is created and sent.

[0653] Step 3:

[0654] The server receives the HTTP request sent from the terminal and extracts the user's input data from the request body. The input data is temporarily stored in the server's memory.

[0655] Step 4:

[0656] The server executes SQL queries to store the extracted data in a database management system (e.g., MySQL, PostgreSQL). The SQL queries store the input data in the database.

[0657] Step 5:

[0658] The server records the user's input behavior data (e.g., typing speed, mouse movement patterns, etc.) and sends this to a proprietary emotion engine.

[0659] Step 6:

[0660] The emotion engine installed on the server analyzes the user's emotional state (e.g., "anxiety," "satisfaction," "excitement," etc.) using input data and behavioral data. Emotional information (e.g., "expectation") is generated and stored in the server's memory.

[0661] Step 7:

[0662] The server executes an SQL query to store the user's emotional information obtained as a result of the analysis in a database. The emotional information is stored in the database by the SQL query.

[0663] Step 8:

[0664] The server analyzes the data using natural language processing technology (e.g., GPT-3, BERT, etc.) based on the stored user data and emotional information. User data and emotional information are given as input to the natural language processing model, and requirements based on business objectives, design preferences, target audience, and user emotions are extracted as analysis results.

[0665] Step 9:

[0666] The server selects an appropriate design template and CSS style based on the extracted requirements and sentiment information. This selection is performed by an algorithm, and the selected template and CSS style are output.

[0667] Step 10:

[0668] The server creates a template that defines the specific HTML structure and applies the selected CSS styles. The HTML structure and CSS styles are combined to generate the layout of the web page.

[0669] Step 11:

[0670] The server generates or selects content according to the user's business (e.g., cafe menu, store photos, staff introductions, etc.). The generated / selected content is incorporated into an HTML template.

[0671] Step 12:

[0672] The server evaluates the usability of the generated web pages, measuring items such as page load speed, ease of navigation, and application of responsive design, and then compiles the results.

[0673] Step 13:

[0674] The server collects users' emotional evaluations of usability through an emotion engine, which analyzes the emotion information based on the usability evaluations and outputs the collected emotional evaluation data.

[0675] Step 14:

[0676] The server generates improvement suggestions based on the usability evaluation results and emotional evaluation, such as improving page load speed or rearranging the navigation menu.

[0677] Step 15:

[0678] The server outputs the generated design proposals, content, and usability improvement proposals in HTML and CSS format and sends them to the terminal.

[0679] Step 16:

[0680] The device displays the HTML and CSS received from the server in a browser and provides a preview to the user, who can then review the preview and provide feedback or correction requests if necessary.

[0681] Step 17:

[0682] The server receives the user feedback and runs the analysis and revision process again, generating new design ideas and content to create the final website.

[0683] (Application example 2)

[0684] 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."

[0685] Conventional website generation systems generate websites based on a user's business objectives, design preferences, and target audience, but do not support content generation that takes user emotions and feedback into account. Furthermore, usability evaluation and improvement suggestions are limited, making it difficult to provide optimal websites. The objective of this invention is to solve these problems by proposing a system that understands user emotions and provides optimal design proposals and content.

[0686] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[0687] In this invention, the server includes means for acquiring information on business objectives, design preferences, and target audience from a user, means for analyzing the acquired information and extracting requirements for website design, means for analyzing the user's emotional state using an emotion recognition engine, means for generating website design proposals and content based on the extracted requirements and the analyzed emotional information, means for inputting prompt sentences into a generative AI model to generate optimized design proposals and content, and means for providing the generated design proposals and content to the user. This makes it possible to generate high-quality, highly usable websites that also take user emotions and feedback into consideration.

[0688] "Business Objectives" are the specific business goals or intentions that users want to achieve through the website.

[0689] "Design preferences" refers to the website design style and visual expression that users prefer.

[0690] A "target audience" is a specific audience or user group that a website targets.

[0691] An "emotion recognition engine" is software that analyzes user input and behavioral data to automatically recognize a user's emotional state.

[0692] "Requirements extraction" is the process of identifying the conditions and features necessary for website design from user input and emotional information.

[0693] A "generative AI model" is an artificial intelligence model that generates optimal website design proposals and content based on user requirements and emotional information.

[0694] A "prompt" is a textual instruction that is entered to give instructions to a generative AI model.

[0695] A "design proposal" is a specific proposal or plan for the layout and visual design of a website.

[0696] "Content" refers to all information displayed on the website, including text, images, and videos.

[0697] "Usability evaluation" is the process of evaluating how easy a generated website is to use and how convenient it is for users.

[0698] "Improvement Suggestions" are specific advice or suggested modifications to improve the performance or usability of a website, based on the results of the usability evaluation.

[0699] System configuration

[0700] In this invention, the specific system for implementing the invention collects user input information, analyzes the data and recognizes emotions, generates design proposals and content, evaluates usability, and proposes improvements. The components of the system and their specific operations are shown below.

[0701] Collecting user-entered information

[0702] Users use a smartphone, tablet, or head-mounted display (HMD) to fill out a web form with information about their business objectives, design preferences, and target audience, which is then sent from the device to a server.

[0703] Data analysis and emotion recognition

[0704] The server receives the information sent by the user and stores it in a database. At the same time, it also records the user's input behavior (typing speed, mouse movement patterns, etc.) and sends this to an emotion recognition engine. The emotion recognition engine analyzes the input data and behavioral data to recognize the user's emotions (excitement, anticipation, anxiety, etc.). Natural language processing libraries such as TextBlob are used for emotion analysis.

[0705] Design proposals and content generation

[0706] Based on the analyzed data and emotional information, the server inputs prompts into a generative AI model to generate design proposals and content. OpenAI's API is used as the generative AI model. An example prompt might be "Business purpose: small cafe, Design preference: simple and modern, Target audience: local young adults, Emotion: excitement."

[0707] The generated design proposals include, for example, a simple and modern layout using a white-based color scheme and sans-serif font, as well as content such as specific cafe menus, photos, and videos.

[0708] Usability evaluation and improvement suggestions

[0709] The server evaluates the usability of the generated website. Evaluation criteria include page load speed, ease of navigation, and the application of responsive design. An emotion recognition engine also collects the user's emotional evaluation of usability. Based on this, the server generates specific improvement suggestions and provides them to the user.

[0710] Hardware and software used

[0711] Hardware: smartphone, tablet, HMD (e.g. Oculus Rift)

[0712] Software: Python 3, openai library, TextBlob

[0713] The program performs sentiment analysis based on user input, and then generates optimized design proposals and content using a generative AI model. This allows users to easily create and operate high-quality websites that match their emotions.

[0714] Specific examples

[0715] For example, if a user wants to create a website for a "small cafe," the server will obtain the user's input information on "business objectives," "design preferences," and "target audience," and use an emotion recognition engine to recognize the user's "excitement" and "expectation." The server then inputs the following prompt sentences into the generative AI model to generate a design proposal:

[0716] "Business purpose: Small cafe, Design preference: Simple and modern, Target audience: Local young adults, Emotion: Excitement"

[0717] Based on this prompt, a simple and modern layout using a white-based color scheme and sans-serif font is generated, along with other content such as the cafe menu, store photos, and staff introductions.

[0718] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[0719] Step 1:

[0720] Users use a smartphone, tablet, or HMD to enter information about their business purpose, design preferences, and target audience into a web form. The server receives this information from the device and stores it in a database. At this stage, the input data includes the business purpose ("small cafe"), design preference ("simple and modern"), and target audience ("local young adults").

[0721] Inputs: User-supplied business objectives, design preferences, and target audience

[0722] Output: User-entered data stored on the server

[0723] Step 2:

[0724] The server records the user's input behavior data (such as typing speed and mouse movement patterns) and sends it to the emotion recognition engine, which analyzes this behavior data and recognizes the user's emotional state (excitement, anticipation, anxiety, etc.).

[0725] Input: User input behavior data

[0726] Output: Analyzed user sentiment information

[0727] Step 3:

[0728] The server uses natural language processing technology to extract website design requirements based on the stored user input data and the recognized emotion information. For example, the server can extract appropriate design templates and layout requirements based on the user's business objectives and design preferences.

[0729] Input: Stored user input data, recognized emotion information

[0730] Output: Extracted website design requirements

[0731] Step 4:

[0732] The server inputs prompts into a generative AI model based on the extracted requirements and recognized emotion information to generate optimized design proposals and content. The generative AI model used here uses OpenAI's API. An example prompt is "Business purpose: small cafe, Design preference: simple and modern, Target audience: local young adults, Emotion: excitement."

[0733] Input: Extracted website design requirements, recognized emotional information

[0734] Output: A prompt to be input to the generative AI model

[0735] Step 5:

[0736] The generative AI model generates optimized design ideas and content based on the prompt, including, for example, a white-based color scheme, the use of sans-serif fonts, specific cafe menu items, photos, and videos.

[0737] Input: The prompt text entered into the generative AI model

[0738] Output: Generated design proposals and content

[0739] Step 6:

[0740] The server provides the generated design proposals and content to the user, who can then preview and check them on their device.

[0741] Input: Generated design ideas and content

[0742] Output: A preview screen provided to the user

[0743] Step 7:

[0744] Users provide feedback on the generated design proposals and content, which the server accepts, reanalyzes, and regenerates, resulting in an optimized website based on user feedback.

[0745] Input: User feedback

[0746] Output: Re-analyzed and re-generated website design proposals and content

[0747] Step 8:

[0748] Finally, the server evaluates the usability and provides suggestions for improving the generated website, such as page load speed, ease of navigation, and the use of responsive design.

[0749] Input: Generated website design ideas and content

[0750] Output: Usability evaluation, improvement suggestions

[0751] This series of processes generates a high-quality, highly usable website that reflects user emotions and feedback.

[0752] 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.

[0753] 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.

[0754] 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.

[0755] [Third embodiment]

[0756] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0757] 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.

[0758] 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).

[0759] 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.

[0760] 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.

[0761] 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).

[0762] 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.

[0763] 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.

[0764] 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.

[0765] 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.

[0766] 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.

[0767] 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."

[0768] Collecting user-entered information

[0769] Users enter required information through a web form, including the purpose of their business (e.g., "small cafe"), design preferences (e.g., "simple and modern"), and target audience (e.g., "local young adults"). The device receives this input data and sends it to the server.

[0770] Receiving and storing data

[0771] The server receives the data sent by the user and stores it in a database, where it is prepared for use in subsequent analysis processes.

[0772] Data analysis and requirements extraction

[0773] The server applies natural language processing (NLP) to the stored data to analyze the input. From the analysis results, requirements such as the business's purpose, design preferences, and target audience are extracted. For example, a "small cafe" may require specific elements in its marketing strategy, and a "simple and modern design" may be set as the site's visual theme, with the services offered primarily targeted at "local young adults."

[0774] Design proposals and content generation

[0775] 1. The server selects an appropriate design template and style sheet (CSS) based on the extracted requirements. For example, if a "simple and modern" design is required, it generates a CSS style that uses a white-based color scheme and sans-serif fonts.

[0776] 2. The server creates a template that defines the specific HTML structure and applies the selected CSS styles, creating a layout that includes, for example, a "cafe homepage," a "menu page," and a "gallery page."

[0777] 3. The server generates or selects content (text, images, videos, etc.) based on the user's business. This may include, for example, a cafe menu, store photos, and staff introductions. This content is placed on an HTML template and built into a web page. Meta tags and SEO (search engine optimization) are also set.

[0778] Usability analysis and improvement suggestions

[0779] The server evaluates the usability of the generated web page. For example, it checks the page load speed, ease of navigation, and the application of responsive design. Based on this, it makes suggestions for improving usability. For example, it provides specific suggestions such as "improving page load speed by compressing images" or "improving user operability by rearranging the navigation menu."

[0780] Sending and displaying proposal results

[0781] The server generates the proposed results in HTML and CSS format and sends them to the device. The device receives the results and displays them as a preview in the browser. The user can check the actual preview and send correction requests or feedback as needed.

[0782] Accepting user feedback and making improvements

[0783] The server receives feedback from the user, then performs a re-analysis and re-generation process and provides the revised website, allowing the user to create their ideal website.

[0784] Specific examples

[0785] If a user wants to create a website for a "small cafe," they can enter their business objective as "attracting customers," their design preference as "simple and modern," and their target audience as "local young adults." After receiving this information, the server analyzes it using natural language processing technology and generates an appropriate design template (white base, sans-serif font) and content specific to the cafe (menu, photos, blog posts). It then builds a highly usable website and suggests improvements based on the user's requests. Finally, it receives user feedback and makes any necessary modifications to create the optimal website.

[0786] In this way, the present invention provides a system that enables users to easily create and operate high-quality, highly usable websites without having specialized knowledge.

[0787] The processing flow will be explained below.

[0788] Step 1:

[0789] Users fill out a web form to describe their business purpose (e.g., "small cafe"), design preferences (e.g., "simple and modern"), and target audience (e.g., "local young adults").

[0790] Step 2:

[0791] The terminal acquires the data entered by the user and transmits it to the server.

[0792] Step 3:

[0793] The server receives the user data sent from the device and stores it in a database, which is then ready for subsequent analysis.

[0794] Step 4:

[0795] The server analyzes the stored data using natural language processing technology, extracting requirements such as business objectives, design preferences, and target audience.

[0796] Step 5:

[0797] The server selects an appropriate design template and CSS style based on the extracted requirements. For example, if a "simple and modern" design is required, it selects a style that uses a white-based color scheme and sans-serif font.

[0798] Step 6:

[0799] The server defines the specific HTML structure and creates templates with the selected CSS styles applied, including layouts for the "cafe homepage," "menu page," and "gallery page."

[0800] Step 7:

[0801] The server generates or selects content (text, images, videos, etc.) according to the user's business, such as a cafe menu, store photos, and staff introductions.

[0802] Step 8:

[0803] The server places the generated content on an HTML template to build a web page, and also sets meta tags and implements SEO to create a web page optimized for search engines.

[0804] Step 9:

[0805] The server evaluates the generated web pages for usability, checking, for example, page load speed, ease of navigation, and the application of responsive design.

[0806] Step 10:

[0807] The server generates improvement suggestions based on the usability evaluation results, such as "improving page load speed by compressing images" or "improving user experience by rearranging the navigation menu."

[0808] Step 11:

[0809] The server outputs the generated design proposals, content, and usability improvement proposals in HTML and CSS format and sends them to the terminal.

[0810] Step 12:

[0811] The device displays the HTML and CSS received from the server in a browser and provides a preview to the user, who can then check the preview and provide feedback or correction requests as needed.

[0812] Step 13:

[0813] The server receives the user's feedback and runs the analysis and revision process again, resulting in a final website based on the user's specific requirements.

[0814] Example 1

[0815] 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."

[0816] Conventional website construction methods require specialized knowledge and skills, making it difficult for many users to easily create high-quality websites. Furthermore, usability evaluation and regeneration based on feedback are time-consuming and difficult to respond to quickly. For this reason, a system was needed that could efficiently construct websites that meet users' business requirements and design preferences, and make appropriate improvements.

[0817] 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.

[0818] In this invention, the server includes means for acquiring information from users regarding the purpose of their commercial activities, design preferences, and target customer demographics; means for analyzing the acquired information and extracting requirements for website construction; and means for generating website design proposals and content based on the extracted requirements. This allows users to easily create high-quality websites that meet their business requirements, even without specialized knowledge. Furthermore, by further providing means for accepting user feedback, reanalyzing and regenerating the website, and means for evaluating the usability of the generated website and outputting improvement suggestions, prompt and appropriate improvements can be made.

[0819] "Commercial Purpose" refers to the business goals or intentions that a user wishes to achieve through a website.

[0820] "Design preferences" refers to the visual and functional design style of a website that a user desires.

[0821] "Target Audience" refers to the specific customer group or market segment you wish to reach through your website.

[0822] "Means of obtaining information" refers to the methods and tools used to collect data and information entered by users.

[0823] "Means of extracting requirements" refers to methods and tools for analyzing the acquired information and extracting the elements and conditions necessary for building a website.

[0824] "Means for generating design proposals and content" refers to methods and tools for creating website layouts and content based on extracted requirements.

[0825] "Means for receiving feedback" refers to the methods and tools used to receive feedback and improvement requests from users.

[0826] "Means for reanalysis and regeneration" refers to methods and tools for reanalyzing data based on received feedback and reconstructing the website's design and content.

[0827] "Usability evaluation measures" refers to methods and tools used to evaluate the usability and performance of the generated website.

[0828] "Means for outputting improvement proposals" refers to methods and tools for creating and providing specific improvement proposals based on usability evaluations.

[0829] This invention provides a system that enables users to easily create and operate high-quality websites without specialized knowledge. This system includes the following processes: collecting user-entered information, receiving and saving data, analyzing data and extracting requirements, generating design proposals and content, analyzing usability and proposing improvements, sending and displaying the results of the proposals, and receiving and improving user feedback.

[0830] Collecting user-entered information

[0831] The user enters necessary information such as the purpose of their business, design preferences, and target customer demographics through a web form. For example, the user may enter "customer attraction" as the "purpose of their business," "simple and modern" as the "design preference," and "local young adults" as the "target customer demographic." The terminal receives this input data and sends it to the server.

[0832] Receiving and storing data

[0833] The server receives the data submitted by the user and stores it in a database system such as MySQL or PostgreSQL, where it is prepared for use in subsequent analysis processes.

[0834] Data analysis and requirements extraction

[0835] The server applies natural language processing (NLP) techniques to the stored data and analyzes the acquired information. For example, it uses Python's NLTK or Spacy libraries to analyze text data and extract requirements such as the business's purpose, design preferences, and target customer demographic. For example, if the business purpose is entered as "small cafe," specific marketing and design requirements are extracted based on this information.

[0836] Design proposals and content generation

[0837] The server selects appropriate design templates and cascading style sheets (CSS) based on the extracted requirements. For example, it uses a CSS framework such as Bootstrap, and if a "simple and modern design" is required, it uses a white-based color scheme and sans-serif font. It also generates a specific HTML structure and creates templates for the top page, menu page, gallery page, etc. Furthermore, it uses Python libraries and generative AI models (e.g., GPT-3) to generate or select content (menus, photos, blog articles, etc.) according to the user's business, and also sets meta tags for SEO purposes.

[0838] Usability analysis and improvement suggestions

[0839] The server evaluates the usability of the generated web pages using tools such as Google Lighthouse. For example, it checks the page load speed, ease of navigation, and application of responsive design, and generates specific improvement suggestions based on the results. For example, "improve page load speed by compressing images" or "rearrange the navigation menu to improve user experience."

[0840] Sending and displaying proposal results

[0841] The server generates the results in HTML and CSS format that reflect the improvement suggestions and sends them to the device. The device receives the results and displays them as a preview in the browser. The user can check the preview and provide feedback if necessary.

[0842] Accepting user feedback and making improvements

[0843] The server receives feedback from the user and performs the re-analysis and re-generation process. For example, if the user sends feedback saying "the navigation menu is difficult to understand," the server will improve that part and re-generate the website. This allows the user to create the ideal website.

[0844] Specific examples

[0845] If a user wants to create a website for a "small cafe," they can enter their business objective as "attracting customers," their design preference as "simple and modern," and their target customer demographic as "local young adults." After receiving this information, the server analyzes it using natural language processing technology and generates an appropriate design template (white base, sans-serif font) and cafe-specific content (menu, photos, blog posts). It then builds a user-friendly website and suggests improvements based on the user's requests. Finally, it receives user feedback and makes any necessary modifications to create an optimal website.

[0846] An example of a prompt for the generative AI model we will use:

[0847] "I would like to create a website for a small cafe. The purpose of my commercial activities is to attract customers, my design preference is simple and modern, and my target customer base is young adults in the local area. I would like you to generate the optimal design template and content based on this information. I would also like you to build a user-friendly website and provide suggestions for improvements."

[0848] The flow of the identification process in the first embodiment will be described with reference to FIG.

[0849] Step 1: Collecting User-Input Information

[0850] The user enters information such as the purpose of their business, design preferences, and target customer demographic into a web form. For example, the "purpose of business" could be "attracting customers," the "design preferences" could be "simple and modern," and the "target customer demographic" could be "local young adults." The device receives this input data in real time and sends it to the server. The input is the user's information (purpose of business, design preferences, target customer demographic), and the output is the input data sent to the server.

[0851] Step 2: Receiving and storing data

[0852] The server receives the user data sent from the device and stores it in a database. Specifically, it uses a database system such as MySQL or PostgreSQL to efficiently store the received data. The input is the data sent from the device, and the output is the user information stored in the database.

[0853] Step 3: Data analysis and requirements extraction

[0854] The server applies natural language processing (NLP) techniques to the user data stored in the database. Specifically, it uses Python's NLTK and Spacy libraries to analyze text data and extract requirements related to the business's objectives, design preferences, and target customer demographics. For example, for a business objective of "small cafe," the analysis analyzes marketing strategies and design requirements. The input is the stored user data, and the output is the extracted requirements.

[0855] Step 4: Design proposals and content generation

[0856] 1. The server selects the optimal design template and CSS stylesheet based on the extracted requirements. For example, if a "simple and modern design" is required using a CSS framework such as Bootstrap, a white-based color scheme and sans-serif fonts will be used. The extracted requirements are the input, and the selected design template and CSS are the output.

[0857] 2. The server generates a specific HTML structure and applies the selected CSS styles to create a web page template. For example, a top page, menu page, gallery page, etc. are defined using HTML and CSS. The input is the selected design template and extracted requirements, and the output is the generated HTML and CSS templates.

[0858] 3. The server generates or selects content based on the user's business. Specifically, it uses Python libraries and generative AI models (e.g., GPT-3) to generate cafe menus, store photos, blog articles, etc., and sets meta tags for SEO purposes. The inputs are extracted requirements and analyzed data, and the output is generated content and meta tags.

[0859] Step 5: Usability analysis and improvement suggestions

[0860] The server evaluates the usability of the generated web page using tools such as Google Lighthouse. Specifically, it checks the page load speed, ease of navigation, and application of responsive design, and makes specific improvement suggestions based on the results. For example, "Improve page load speed by compressing images" or "Improve user experience by rearranging the navigation menu." The input is the generated web page, and the output is the generated improvement suggestions.

[0861] Step 6: Submit and view the proposal results

[0862] The server generates the results reflecting the improvement suggestions in HTML and CSS format and sends them to the terminal. The terminal receives this result and displays it as a preview in the browser. The user checks this preview and provides feedback if necessary. The input is the generated improvement suggestions and the modified web page, and the output is the preview displayed in the browser.

[0863] Step 7: Accept user feedback and make improvements

[0864] The server receives feedback from the user and performs a re-analysis and re-generation process. For example, if the user gives feedback that "the navigation menu is difficult to understand," the server makes corrections based on this opinion and re-generates the website. The input is the user's feedback, and the output is the corrected website. This allows the user to complete their ideal website.

[0865] (Application example 1)

[0866] 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."

[0867] In order for brick-and-mortar stores, especially small stores, to effectively attract customers and conduct marketing, it is necessary to quickly and easily create high-quality, highly usable websites. However, for users without specialized knowledge or skills, designing websites and generating content is not easy. It is also difficult to evaluate the usability of the created websites and make appropriate improvements. A system that can solve these user problems and efficiently operate websites is needed.

[0868] 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.

[0869] In this invention, the server includes means for acquiring information on business objectives, design preferences, and target audiences from users, means for analyzing the acquired information and extracting requirements for website design, means for generating website design proposals and content based on the extracted requirements, means for providing the generated design proposals and content to users, means for realizing the above functions as an application to be installed on a smartphone, and means for analyzing data using natural language processing technology and selecting design templates and style sheets. This enables even users without specialized knowledge or skills to quickly and easily create high-quality, highly usable websites, and further enables optimal website management through usability evaluations and improvement suggestions.

[0870] "User" refers to any business owner or individual who wants to create a website.

[0871] "Business Objective" refers to the goal or intention that a user wants to achieve through a website.

[0872] "Design preferences" refers to the specific tastes and requirements a user has for the appearance and style of a website.

[0873] "Target audience" refers to the specific customer or audience that your website primarily wants to attract.

[0874] "Means of collection" refers to the methods and tools used to collect specific information from users.

[0875] "Means for analyzing and extracting requirements for website design" refers to methods and techniques for analyzing collected information and deriving specific conditions and elements necessary for website design.

[0876] "Means for generating website design proposals and content" refers to methods and tools for creating website layouts and content based on extracted requirements.

[0877] "Means of provision" refers to the methods and technologies used to notify or display the generated website design proposals and content to users.

[0878] "Applications installed on smartphones" refers to software that realizes the above functions and is provided in a format that runs on smartphones.

[0879] "Natural language processing technology" refers to artificial intelligence technology for analyzing and interpreting text data entered by users.

[0880] "Design template" refers to a predefined layout or style that defines the basic structure and appearance of a website.

[0881] A "style sheet" refers to a set of rules that define the visual design elements (e.g., colors, fonts, layout) of a website.

[0882] "Usability" refers to the ease of use and operation of a website.

[0883] "Means for evaluation and outputting improvement suggestions" refers to methods and technologies for analyzing the usability of the generated website and providing specific suggestions for its improvement.

[0884] Collecting user-entered information

[0885] Users input the necessary information through an application installed on their smartphone, such as the business's purpose (e.g., "cafe"), design preferences (e.g., "simple and modern"), and target audience (e.g., "young adults"). The device receives this input data and sends it to the server.

[0886] Receiving and storing data

[0887] The server receives the data submitted by the user and stores it in an SQLite database, where it is prepared for use in the subsequent analysis process.

[0888] Data analysis and requirements extraction

[0889] The server applies natural language processing (TextBlob) to the stored data to analyze the input. From the analysis results, requirements such as the business's purpose, design preferences, and target audience are extracted. For example, a "small cafe" may require specific elements in its marketing strategy, and a "simple and modern design" may be set as the site's visual theme, with the services offered primarily targeted at "local young adults."

[0890] Design proposals and content generation

[0891] The server selects an appropriate design template and style sheet (CSS) based on the extracted requirements. For example, if a "simple and modern" design is desired, it generates a CSS style that uses a white-based color scheme and sans-serif font. It also defines a specific HTML structure and creates a template that applies the selected CSS style. For example, it creates a layout that includes a "cafe homepage," "menu page," and "gallery page." The generated content includes the cafe menu, store photos, and staff introductions.

[0892] Usability analysis and improvement suggestions

[0893] The server evaluates the usability of the generated web page. For example, it checks the page load speed, ease of navigation, and the application of responsive design. Based on this, it makes suggestions for improving usability. For example, it provides specific suggestions such as "improving page load speed by compressing images" or "improving user operability by rearranging the navigation menu."

[0894] Sending and displaying proposal results

[0895] The server generates the proposed results in HTML and CSS format and sends them to the device. The device receives the results and displays them as a preview in the browser. The user can check the actual preview and send correction requests or feedback as needed.

[0896] Accepting user feedback and making improvements

[0897] The server receives feedback from the user, then performs a re-analysis and re-generation process and provides the modified website, allowing the user to create their ideal website.

[0898] Specific examples

[0899] If a user wants to create a website for a small cafe, they input their business purpose as "cafe," their design preference as "simple and modern," and their target audience as "local young adults." After receiving this information, the server analyzes it using natural language processing technology and generates an appropriate design template (white background, sans-serif font) and content specific to the cafe (menu, photos, blog posts). For example, the following prompt might be used:

[0900] Design a simple and modern website for a cafe business targeting local young adults. The template should use a white color scheme and sans-serif font, and generate pages that include a menu, photos of the store, and staff introductions.

[0901] The server builds a highly usable website, proposes improvements based on user requests, and finally receives user feedback and makes any necessary modifications to complete the optimal website.

[0902] In this way, by implementing the present invention, users can easily create and operate high-quality, highly usable websites without any specialized knowledge.

[0903] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[0904] Step 1:

[0905] Users enter their business purpose (e.g., "cafe"), design preferences (e.g., "simple and modern"), and target audience (e.g., "young adults") through an application installed on their smartphone. This information is received by the device and sent to the server. The input data is in text format, and the device prepares it to be sent to the server.

[0906] Step 2:

[0907] The device sends the received user input data to the server, which receives the data in text format and stores it in an SQLite database, preparing the data for subsequent analysis processes.

[0908] Step 3:

[0909] The server applies natural language processing (TextBlob) to the stored data to analyze the input content. At this time, requirements such as business objectives, design preferences, and target audience are extracted. Data processing involves analyzing the input text and performing data calculations to extract specific keywords and phrases to identify requirements. For example, the input "cafe" can identify the category "food and beverage industry."

[0910] Step 4:

[0911] The server uses a generative AI model based on the extracted requirements to select an appropriate design template and style sheet (CSS). Specifically, a white-based color scheme and sans-serif font style is selected based on the requirement of "simple and modern." The selection process is carried out by a design template selection algorithm.

[0912] Step 5:

[0913] The server defines the specific HTML structure using the design template and CSS stylesheet, creates a template with the specified style applied, and generates or selects content (text, images, videos, etc.) according to the user's business and places it on the HTML template. This process includes reading from a database and using content generation algorithms.

[0914] Step 6:

[0915] The server evaluates the usability of the generated website. The evaluation includes factors such as page load speed, ease of navigation, and the application of responsive design. Based on the evaluation results, it generates suggestions for improving usability. Examples of suggestions include "improving page load speed by compressing images" and "improving user experience by rearranging the navigation menu."

[0916] Step 7:

[0917] The server generates the website design and content along with the proposed results in HTML and CSS format and sends them to the device. The device receives the results and displays them as a preview in the browser. The user can check the preview and submit correction requests or feedback as needed.

[0918] Step 8:

[0919] The server receives the user's feedback, performs a re-analysis and re-generation process, generates a revised website, and sends it back to the terminal, thus completing the optimal website based on the user's feedback.

[0920] 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.

[0921] User input information collection and emotion recognition

[0922] Users fill out a web form with information about their business purpose (e.g., "small cafe"), design preferences (e.g., "simple and modern"), and target audience (e.g., "local young adults"). The device captures the user's input data and sends it to the server.

[0923] Receiving and storing data

[0924] The server receives the user data sent from the device and stores it in a database. At the same time, it also records the user's input behavior (e.g., typing speed, mouse movement patterns, etc.) and sends it to the emotion engine.

[0925] Emotion Recognition and Analysis

[0926] The emotion engine installed on the server analyzes user input and behavioral data to recognize the user's emotions (e.g., "anxiety," "satisfaction," "excitement," etc.). The recognized emotional information is reflected in the website design and content generation.

[0927] Data analysis and requirements extraction

[0928] The server uses natural language processing technology to analyze the stored data and the emotional information from the emotion engine, and extracts requirements based on business objectives, design preferences, target audience, and user emotions from the analysis results.

[0929] Design proposals and content generation

[0930] 1. The server selects an appropriate design template and CSS style based on the extracted requirements and emotion information. For example, if the user prefers a "simple and modern" design and has an emotion of "satisfaction," the server selects a style that uses a white-based color scheme and sans-serif font.

[0931] 2. The server creates a template that defines the specific HTML structure and applies the selected CSS styles, including layouts for the "cafe homepage," "menu page," and "gallery page."

[0932] 3. The server generates or selects content (text, images, videos, etc.) that corresponds to the user's business. For example, this may include a cafe menu, store photos, and staff introductions. Furthermore, taking into account the information from the emotion engine, the server selects colors and font sizes that will make the user feel relaxed.

[0933] Usability analysis and emotional evaluation

[0934] The server evaluates the usability of the generated web pages, checking things like page load speed, ease of navigation, and the application of responsive design. It also collects users' emotional evaluations of usability through an emotion engine.

[0935] Output of improvement suggestions

[0936] The server generates improvement suggestions based on the usability evaluation results and emotional evaluations. For example, it suggests "improving page load speed by compressing images" or "improving user experience by rearranging the navigation menu." It also makes specific suggestions such as "highlighting the FAQ page if the user is feeling unsure."

[0937] Sending and displaying proposal results

[0938] The server outputs the generated design proposals, content, and usability improvement suggestions in HTML and CSS format and sends them to the device. The device displays the HTML and CSS received from the server in a browser and provides a preview to the user. The user can check the preview and send feedback or correction requests as necessary.

[0939] Accepting user feedback and making improvements

[0940] The server receives the user's feedback and performs another analysis and modification process, thus completing the final website based on the user's specific requirements and sentiment information.

[0941] Specific examples

[0942] If a user wants to create a website for a "small cafe," they can enter their business objective as "attracting customers," their design preference as "simple and modern," and their target audience as "local young adults." After receiving this information, the server analyzes it using natural language processing technology and uses an emotion engine to recognize the user's emotions of "excitement" and "anticipation." It then generates an appropriate design template (white base, sans-serif font) and cafe-specific content (menu, photos, blog posts) to enhance usability and emotional satisfaction. Based on user feedback, the ideal website is then completed.

[0943] In this way, the present invention provides a system that enables users to easily create and operate high-quality, highly usable websites that take emotional satisfaction into consideration, even if they do not have specialized knowledge.

[0944] The processing flow will be explained below.

[0945] Step 1:

[0946] Users fill out a web form to describe their business purpose (e.g., "small cafe"), design preferences (e.g., "simple and modern"), and target audience (e.g., "local young adults"), while their behavioral data (typing speed, mouse movement patterns, etc.) is also recorded.

[0947] Step 2:

[0948] The device acquires the user's input data and sends it to the server, along with the behavioral data.

[0949] Step 3:

[0950] The server receives the user's input data and behavioral data sent from the terminal and stores them in a database.

[0951] Step 4:

[0952] The server analyzes the stored data using natural language processing technology to extract business objectives, design preferences, and target audience requirements.

[0953] Step 5:

[0954] The emotion engine installed on the server analyzes the user's input behavior data and recognizes the emotions the user is feeling (e.g., "anxiety," "satisfaction," "excitement," etc.). The emotional information recognized here is reflected in the website design.

[0955] Step 6:

[0956] The server selects an appropriate design template and CSS style based on the extracted requirements and emotion information. For example, if a "simple and modern" design is desired and the emotion "satisfied" is recognized, a template using a white-based color scheme and sans-serif fonts will be selected.

[0957] Step 7:

[0958] The server defines the specific HTML structure and creates templates with the selected CSS styles applied, including layouts for the "cafe homepage," "menu page," and "gallery page."

[0959] Step 8:

[0960] The server generates or selects content (text, images, videos, etc.) according to the user's business details and emotional information, including, for example, a cafe menu, store photos, and staff introductions.

[0961] Step 9:

[0962] The server places the generated content on an HTML template to build a web page, and also sets meta tags and implements SEO measures to create a web page that is optimized for search engines.

[0963] Step 10:

[0964] The server then performs a usability assessment on the generated web pages, checking things like page load speed, ease of navigation, and whether or not they incorporate responsive design.

[0965] Step 11:

[0966] The server generates usability improvement suggestions, taking into account the user's emotional information collected through the emotion engine. For example, it suggests "improving page load speed by compressing images" or "improving user operability by rearranging the navigation menu." It also makes specific suggestions, such as "highlighting the FAQ page if the user is feeling anxious."

[0967] Step 12:

[0968] The server outputs the generated design proposals, content, and usability improvement proposals in HTML and CSS format and sends them to the terminal.

[0969] Step 13:

[0970] The device displays the HTML and CSS received from the server in a browser and provides a preview to the user, who can then check the preview and provide feedback or correction requests as needed.

[0971] Step 14:

[0972] The server receives the user's feedback and performs another analysis and revision process. The analysis also uses an emotion engine, incorporating additional emotion information gained through user feedback. Through this process, a high-quality website based on the user's specific requirements and emotion information is finally completed.

[0973] Example 2

[0974] 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."

[0975] Conventional website creation systems have the problem that it is extremely difficult to create high-quality, highly usable websites when users lack specialized knowledge. Furthermore, they lack the ability to generate designs and content that take user emotions into consideration, which prevents sufficient user satisfaction. In addition, usability evaluation and the generation of improvement suggestions are often performed manually, hindering efficient website management.

[0976] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[0977] In this invention, the server includes means for acquiring from a user information such as business objectives, design preferences, target audience, and behavioral data at the time of user input, means for analyzing the acquired information and behavioral data and recognizing the user's emotions, means for extracting requirements necessary for website design using natural language processing technology based on the analyzed data and emotional information, means for generating website design proposals and content based on the extracted requirements and emotional information, and means for providing the generated design proposals and content to the user and displaying them as previews. This makes it possible to create and operate a high-quality, highly usable website that takes user emotions into consideration, even without specialized knowledge.

[0978] "Business Objective" is the business goal or intent that the user is trying to achieve.

[0979] "Design preferences" are individual preferences regarding the appearance and style of a website that a user desires.

[0980] "Target audience" is the specific demographic or market segment that a website primarily targets.

[0981] "Behavioral data" refers to data related to a user's input behavior (e.g., typing speed, mouse movement patterns, etc.).

[0982] An "emotion engine" is an algorithm or system that analyzes user behavior and input data to recognize the user's emotional state.

[0983] "Natural language processing technology" is an artificial intelligence technology for understanding, generating, and analyzing natural language.

[0984] "Requirements" refers to the specifications and conditions necessary for the design of a website.

[0985] "Design Proposal" means a blueprint or proposal for the layout and style of the website.

[0986] "Content" refers to the information elements such as text, images, and videos displayed on a website.

[0987] "Usability" refers to the ease of use and operability of a website.

[0988] "Improvement Suggestions" are specific suggestions or advice for improving the usability or design of a website.

[0989] "Feedback" refers to information such as ratings, opinions, and correction requests provided by users.

[0990] "Preview" is a feature that displays website design ideas and content so that users can check them.

[0991] This invention provides a system that enables users to easily create and operate high-quality, highly usable websites without specialized knowledge. This system includes a series of processes: collecting user-entered information, recognizing emotions, analyzing data, generating design proposals and content, evaluating usability, generating and displaying improvement suggestions, and accepting user feedback to reanalyze and regenerate the content.

[0992] User input information collection and emotion recognition

[0993] Users access the system using a web browser and enter their business purpose (e.g., "small cafe"), design preferences (e.g., "simple and modern"), and target audience (e.g., "local young adults") into a web form. The device captures this information entered by the user and sends it to the server via a secure HTTP request (e.g., HTTPS).

[0994] Receiving and storing data

[0995] The server receives the HTTP request sent from the device and extracts the user's input data from the request body. The server executes SQL queries to store the extracted data in a database management system (e.g., MySQL, PostgreSQL). At the same time, it also records the user's input behavior data (e.g., typing speed, mouse movement patterns, etc.) and sends this data to a proprietary emotion engine.

[0996] Emotion Recognition and Analysis

[0997] The emotion engine (e.g., a machine learning model implemented in Python) installed on the server analyzes the user's input data and behavioral data to recognize the user's emotions (e.g., "anxiety," "satisfaction," "excitement," etc.). The recognized emotion information is stored in a database and used for subsequent analysis and design generation.

[0998] Data analysis and requirements extraction

[0999] The server analyzes the data using natural language processing technology (e.g., GPT-3, BERT, etc.) based on the stored user data and sentiment information, and extracts requirements based on business objectives, design preferences, target audience, and user sentiment from the analysis results.

[1000] Design proposals and content generation

[1001] The server selects an appropriate design template and CSS style based on the extracted requirements and emotional information. For example, if a user prefers a "simple and modern" design and has the emotion "satisfied," it selects a white-based color scheme and sans-serif font. The server defines the specific HTML structure and creates a template that applies the selected CSS style. For example, it designs layouts for a "cafe homepage," "menu page," "gallery page," and so on. It also generates or selects content (e.g., cafe menu, store photos, staff introductions, etc.) that corresponds to the user's business.

[1002] Usability analysis and emotional evaluation

[1003] The server evaluates the usability of the generated web pages, specifically by checking page load speed, ease of navigation, and the application of responsive design. It also collects users' emotional evaluations of usability through an emotion engine.

[1004] Output and display of improvement suggestions

[1005] The server generates improvement suggestions based on the usability evaluation results and emotional evaluation. For example, it makes specific suggestions such as "improve page load speed by compressing images" or "improve user operability by rearranging the navigation menu." It also generates suggestions such as "highlight the FAQ page if the user is feeling uneasy." The generated design proposals, content, and usability improvement suggestions are output in HTML and CSS format and sent to the terminal. The terminal displays the HTML and CSS received from the server in a browser and provides a preview to the user.

[1006] Accepting user feedback and making improvements

[1007] The server receives the user's feedback and performs another analysis and modification process, resulting in a final website based on the user's specific requirements and sentiment information.

[1008] Specific prompt examples

[1009] "Generate the design and content for a website for a small cafe. The business's objective is to attract customers, the design preference is simple and modern, and the target audience is local young adults. Use an emotion engine to consider user emotions."

[1010] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1011] Step 1:

[1012] Users access the system using a web browser and enter information about their business objectives, design preferences, and target audience into a web form. The entered data (business objectives, design preferences, target audience) is stored in the device's memory.

[1013] Step 2:

[1014] The device takes the data entered by the user and sends it to the server via a secure HTTP request (e.g., HTTPS). A request body containing the input data (business objectives, design preferences, target audience) is created and sent.

[1015] Step 3:

[1016] The server receives the HTTP request sent from the terminal and extracts the user's input data from the request body. The input data is temporarily stored in the server's memory.

[1017] Step 4:

[1018] The server executes SQL queries to store the extracted data in a database management system (e.g., MySQL, PostgreSQL). The SQL queries store the input data in the database.

[1019] Step 5:

[1020] The server records the user's input behavior data (e.g., typing speed, mouse movement patterns, etc.) and sends this to a proprietary emotion engine.

[1021] Step 6:

[1022] The emotion engine installed on the server analyzes the user's emotional state (e.g., "anxiety," "satisfaction," "excitement," etc.) using input data and behavioral data. Emotional information (e.g., "expectation") is generated and stored in the server's memory.

[1023] Step 7:

[1024] The server executes an SQL query to store the user's emotional information obtained as a result of the analysis in a database. The emotional information is stored in the database by the SQL query.

[1025] Step 8:

[1026] The server analyzes the data using natural language processing technology (e.g., GPT-3, BERT, etc.) based on the stored user data and emotional information. User data and emotional information are given as input to the natural language processing model, and requirements based on business objectives, design preferences, target audience, and user emotions are extracted as analysis results.

[1027] Step 9:

[1028] The server selects an appropriate design template and CSS style based on the extracted requirements and sentiment information. This selection is performed by an algorithm, and the selected template and CSS style are output.

[1029] Step 10:

[1030] The server creates a template that defines the specific HTML structure and applies the selected CSS styles. The HTML structure and CSS styles are combined to generate the layout of the web page.

[1031] Step 11:

[1032] The server generates or selects content according to the user's business (e.g., cafe menu, store photos, staff introductions, etc.). The generated / selected content is incorporated into an HTML template.

[1033] Step 12:

[1034] The server evaluates the usability of the generated web pages, measuring items such as page load speed, ease of navigation, and application of responsive design, and then compiles the results.

[1035] Step 13:

[1036] The server collects users' emotional evaluations of usability through an emotion engine, which analyzes the emotion information based on the usability evaluations and outputs the collected emotional evaluation data.

[1037] Step 14:

[1038] The server generates improvement suggestions based on the usability evaluation results and emotional evaluation, such as improving page load speed or rearranging the navigation menu.

[1039] Step 15:

[1040] The server outputs the generated design proposals, content, and usability improvement proposals in HTML and CSS format and sends them to the terminal.

[1041] Step 16:

[1042] The device displays the HTML and CSS received from the server in a browser and provides a preview to the user, who can then review the preview and provide feedback or correction requests if necessary.

[1043] Step 17:

[1044] The server receives the user feedback and runs the analysis and revision process again, generating new design ideas and content to create the final website.

[1045] (Application example 2)

[1046] 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."

[1047] Conventional website generation systems generate websites based on a user's business objectives, design preferences, and target audience, but do not support content generation that takes user emotions and feedback into account. Furthermore, usability evaluation and improvement suggestions are limited, making it difficult to provide optimal websites. The objective of this invention is to solve these problems by proposing a system that understands user emotions and provides optimal design proposals and content.

[1048] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1049] In this invention, the server includes means for acquiring information on business objectives, design preferences, and target audience from a user, means for analyzing the acquired information and extracting requirements for website design, means for analyzing the user's emotional state using an emotion recognition engine, means for generating website design proposals and content based on the extracted requirements and the analyzed emotional information, means for inputting prompt sentences into a generative AI model to generate optimized design proposals and content, and means for providing the generated design proposals and content to the user. This makes it possible to generate high-quality, highly usable websites that also take user emotions and feedback into consideration.

[1050] "Business Objectives" are the specific business goals or intentions that users want to achieve through the website.

[1051] "Design preferences" refers to the website design style and visual expression that users prefer.

[1052] A "target audience" is a specific audience or user group that a website targets.

[1053] An "emotion recognition engine" is software that analyzes user input and behavioral data to automatically recognize a user's emotional state.

[1054] "Requirements extraction" is the process of identifying the conditions and features necessary for website design from user input and emotional information.

[1055] A "generative AI model" is an artificial intelligence model that generates optimal website design proposals and content based on user requirements and emotional information.

[1056] A "prompt" is a textual instruction that is entered to give instructions to a generative AI model.

[1057] A "design proposal" is a specific proposal or plan for the layout and visual design of a website.

[1058] "Content" refers to all information displayed on the website, including text, images, and videos.

[1059] "Usability evaluation" is the process of evaluating how easy a generated website is to use and how convenient it is for users.

[1060] "Improvement Suggestions" are specific advice or suggested modifications to improve the performance or usability of a website, based on the results of the usability evaluation.

[1061] System configuration

[1062] In this invention, the specific system for implementing the invention collects user input information, analyzes the data and recognizes emotions, generates design proposals and content, evaluates usability, and proposes improvements. The components of the system and their specific operations are shown below.

[1063] Collecting user-entered information

[1064] Users use a smartphone, tablet, or head-mounted display (HMD) to fill out a web form with information about their business objectives, design preferences, and target audience, which is then sent from the device to a server.

[1065] Data analysis and emotion recognition

[1066] The server receives the information sent by the user and stores it in a database. At the same time, it also records the user's input behavior (typing speed, mouse movement patterns, etc.) and sends this to an emotion recognition engine. The emotion recognition engine analyzes the input data and behavioral data to recognize the user's emotions (excitement, anticipation, anxiety, etc.). Natural language processing libraries such as TextBlob are used for emotion analysis.

[1067] Design proposals and content generation

[1068] Based on the analyzed data and emotional information, the server inputs prompts into a generative AI model to generate design proposals and content. OpenAI's API is used as the generative AI model. An example prompt might be "Business purpose: small cafe, Design preference: simple and modern, Target audience: local young adults, Emotion: excitement."

[1069] The generated design proposals include, for example, a simple and modern layout using a white-based color scheme and sans-serif font, as well as content such as specific cafe menus, photos, and videos.

[1070] Usability evaluation and improvement suggestions

[1071] The server evaluates the usability of the generated website. Evaluation criteria include page load speed, ease of navigation, and the application of responsive design. An emotion recognition engine also collects the user's emotional evaluation of usability. Based on this, the server generates specific improvement suggestions and provides them to the user.

[1072] Hardware and software used

[1073] Hardware: smartphone, tablet, HMD (e.g. Oculus Rift)

[1074] Software: Python 3, openai library, TextBlob

[1075] The program performs sentiment analysis based on user input, and then generates optimized design proposals and content using a generative AI model. This allows users to easily create and operate high-quality websites that match their emotions.

[1076] Specific examples

[1077] For example, if a user wants to create a website for a "small cafe," the server will obtain the user's input information on "business objectives," "design preferences," and "target audience," and use an emotion recognition engine to recognize the user's "excitement" and "expectation." The server then inputs the following prompt sentences into the generative AI model to generate a design proposal:

[1078] "Business purpose: Small cafe, Design preference: Simple and modern, Target audience: Local young adults, Emotion: Excitement"

[1079] Based on this prompt, a simple and modern layout using a white-based color scheme and sans-serif font is generated, along with other content such as the cafe menu, store photos, and staff introductions.

[1080] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1081] Step 1:

[1082] Users use a smartphone, tablet, or HMD to enter information about their business purpose, design preferences, and target audience into a web form. The server receives this information from the device and stores it in a database. At this stage, the input data includes the business purpose ("small cafe"), design preference ("simple and modern"), and target audience ("local young adults").

[1083] Inputs: User-supplied business objectives, design preferences, and target audience

[1084] Output: User-entered data stored on the server

[1085] Step 2:

[1086] The server records the user's input behavior data (such as typing speed and mouse movement patterns) and sends it to the emotion recognition engine, which analyzes this behavior data and recognizes the user's emotional state (excitement, anticipation, anxiety, etc.).

[1087] Input: User input behavior data

[1088] Output: Analyzed user sentiment information

[1089] Step 3:

[1090] The server uses natural language processing technology to extract website design requirements based on the stored user input data and the recognized emotion information. For example, the server can extract appropriate design templates and layout requirements based on the user's business objectives and design preferences.

[1091] Input: Stored user input data, recognized emotion information

[1092] Output: Extracted website design requirements

[1093] Step 4:

[1094] The server inputs prompts into a generative AI model based on the extracted requirements and recognized emotion information to generate optimized design proposals and content. The generative AI model used here uses OpenAI's API. An example prompt is "Business purpose: small cafe, Design preference: simple and modern, Target audience: local young adults, Emotion: excitement."

[1095] Input: Extracted website design requirements, recognized emotional information

[1096] Output: A prompt to be input to the generative AI model

[1097] Step 5:

[1098] The generative AI model generates optimized design ideas and content based on the prompt, including, for example, a white-based color scheme, the use of sans-serif fonts, specific cafe menu items, photos, and videos.

[1099] Input: The prompt text entered into the generative AI model

[1100] Output: Generated design proposals and content

[1101] Step 6:

[1102] The server provides the generated design proposals and content to the user, who can then preview and check them on their device.

[1103] Input: Generated design ideas and content

[1104] Output: A preview screen provided to the user

[1105] Step 7:

[1106] Users provide feedback on the generated design proposals and content, which the server accepts, reanalyzes, and regenerates, resulting in an optimized website based on user feedback.

[1107] Input: User feedback

[1108] Output: Re-analyzed and re-generated website design proposals and content

[1109] Step 8:

[1110] Finally, the server evaluates the usability and provides suggestions for improving the generated website, such as page load speed, ease of navigation, and the use of responsive design.

[1111] Input: Generated website design ideas and content

[1112] Output: Usability evaluation, improvement suggestions

[1113] This series of processes generates a high-quality, highly usable website that reflects user emotions and feedback.

[1114] 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.

[1115] 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.

[1116] 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.

[1117] [Fourth embodiment]

[1118] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[1119] 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.

[1120] 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).

[1121] 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.

[1122] 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.

[1123] 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).

[1124] 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.

[1125] 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.

[1126] 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.

[1127] 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.

[1128] 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.

[1129] 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.

[1130] 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."

[1131] Collecting user-entered information

[1132] Users enter required information through a web form, including the purpose of their business (e.g., "small cafe"), design preferences (e.g., "simple and modern"), and target audience (e.g., "local young adults"). The device receives this input data and sends it to the server.

[1133] Receiving and storing data

[1134] The server receives the data sent by the user and stores it in a database, where it is prepared for use in subsequent analysis processes.

[1135] Data analysis and requirements extraction

[1136] The server applies natural language processing (NLP) to the stored data to analyze the input. From the analysis results, requirements such as the business's purpose, design preferences, and target audience are extracted. For example, a "small cafe" may require specific elements in its marketing strategy, and a "simple and modern design" may be set as the site's visual theme, with the services offered primarily targeted at "local young adults."

[1137] Design proposals and content generation

[1138] 1. The server selects an appropriate design template and style sheet (CSS) based on the extracted requirements. For example, if a "simple and modern" design is required, it generates a CSS style that uses a white-based color scheme and sans-serif fonts.

[1139] 2. The server creates a template that defines the specific HTML structure and applies the selected CSS styles, creating a layout that includes, for example, a "cafe homepage," a "menu page," and a "gallery page."

[1140] 3. The server generates or selects content (text, images, videos, etc.) based on the user's business. This may include, for example, a cafe menu, store photos, and staff introductions. This content is placed on an HTML template and built into a web page. Meta tags and SEO (search engine optimization) are also set.

[1141] Usability analysis and improvement suggestions

[1142] The server evaluates the usability of the generated web page. For example, it checks the page load speed, ease of navigation, and the application of responsive design. Based on this, it makes suggestions for improving usability. For example, it provides specific suggestions such as "improving page load speed by compressing images" or "improving user operability by rearranging the navigation menu."

[1143] Sending and displaying proposal results

[1144] The server generates the proposed results in HTML and CSS format and sends them to the device. The device receives the results and displays them as a preview in the browser. The user can check the actual preview and send correction requests or feedback as needed.

[1145] Accepting user feedback and making improvements

[1146] The server receives feedback from the user, then performs a re-analysis and re-generation process and provides the revised website, allowing the user to create their ideal website.

[1147] Specific examples

[1148] If a user wants to create a website for a "small cafe," they can enter their business objective as "attracting customers," their design preference as "simple and modern," and their target audience as "local young adults." After receiving this information, the server analyzes it using natural language processing technology and generates an appropriate design template (white base, sans-serif font) and content specific to the cafe (menu, photos, blog posts). It then builds a highly usable website and suggests improvements based on the user's requests. Finally, it receives user feedback and makes any necessary modifications to create the optimal website.

[1149] In this way, the present invention provides a system that enables users to easily create and operate high-quality, highly usable websites without having specialized knowledge.

[1150] The processing flow will be explained below.

[1151] Step 1:

[1152] Users fill out a web form to describe their business purpose (e.g., "small cafe"), design preferences (e.g., "simple and modern"), and target audience (e.g., "local young adults").

[1153] Step 2:

[1154] The terminal acquires the data entered by the user and transmits it to the server.

[1155] Step 3:

[1156] The server receives the user data sent from the device and stores it in a database, which is then ready for subsequent analysis.

[1157] Step 4:

[1158] The server analyzes the stored data using natural language processing technology, extracting requirements such as business objectives, design preferences, and target audience.

[1159] Step 5:

[1160] The server selects an appropriate design template and CSS style based on the extracted requirements. For example, if a "simple and modern" design is required, it selects a style that uses a white-based color scheme and sans-serif font.

[1161] Step 6:

[1162] The server defines the specific HTML structure and creates templates with the selected CSS styles applied, including layouts for the "cafe homepage," "menu page," and "gallery page."

[1163] Step 7:

[1164] The server generates or selects content (text, images, videos, etc.) according to the user's business, such as a cafe menu, store photos, and staff introductions.

[1165] Step 8:

[1166] The server places the generated content on an HTML template to build a web page, and also sets meta tags and implements SEO to create a web page optimized for search engines.

[1167] Step 9:

[1168] The server evaluates the generated web pages for usability, checking, for example, page load speed, ease of navigation, and the application of responsive design.

[1169] Step 10:

[1170] The server generates improvement suggestions based on the usability evaluation results, such as "improving page load speed by compressing images" or "improving user experience by rearranging the navigation menu."

[1171] Step 11:

[1172] The server outputs the generated design proposals, content, and usability improvement proposals in HTML and CSS format and sends them to the terminal.

[1173] Step 12:

[1174] The device displays the HTML and CSS received from the server in a browser and provides a preview to the user, who can then check the preview and provide feedback or correction requests as needed.

[1175] Step 13:

[1176] The server receives the user's feedback and runs the analysis and revision process again, resulting in a final website based on the user's specific requirements.

[1177] Example 1

[1178] 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."

[1179] Conventional website construction methods require specialized knowledge and skills, making it difficult for many users to easily create high-quality websites. Furthermore, usability evaluation and regeneration based on feedback are time-consuming and difficult to respond to quickly. For this reason, a system was needed that could efficiently construct websites that meet users' business requirements and design preferences, and make appropriate improvements.

[1180] 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.

[1181] In this invention, the server includes means for acquiring information from users regarding the purpose of their commercial activities, design preferences, and target customer demographics; means for analyzing the acquired information and extracting requirements for website construction; and means for generating website design proposals and content based on the extracted requirements. This allows users to easily create high-quality websites that meet their business requirements, even without specialized knowledge. Furthermore, by further providing means for accepting user feedback, reanalyzing and regenerating the website, and means for evaluating the usability of the generated website and outputting improvement suggestions, prompt and appropriate improvements can be made.

[1182] "Commercial Purpose" refers to the business goals or intentions that a user wishes to achieve through a website.

[1183] "Design preferences" refers to the visual and functional design style of a website that a user desires.

[1184] "Target Audience" refers to the specific customer group or market segment you wish to reach through your website.

[1185] "Means of obtaining information" refers to the methods and tools used to collect data and information entered by users.

[1186] "Means of extracting requirements" refers to methods and tools for analyzing the acquired information and extracting the elements and conditions necessary for building a website.

[1187] "Means for generating design proposals and content" refers to methods and tools for creating website layouts and content based on extracted requirements.

[1188] "Means for receiving feedback" refers to the methods and tools used to receive feedback and improvement requests from users.

[1189] "Means for reanalysis and regeneration" refers to methods and tools for reanalyzing data based on received feedback and reconstructing the website's design and content.

[1190] "Usability evaluation measures" refers to methods and tools used to evaluate the usability and performance of the generated website.

[1191] "Means for outputting improvement proposals" refers to methods and tools for creating and providing specific improvement proposals based on usability evaluations.

[1192] This invention provides a system that enables users to easily create and operate high-quality websites without specialized knowledge. This system includes the following processes: collecting user-entered information, receiving and saving data, analyzing data and extracting requirements, generating design proposals and content, analyzing usability and proposing improvements, sending and displaying the results of the proposals, and receiving and improving user feedback.

[1193] Collecting user-entered information

[1194] The user enters necessary information such as the purpose of their business, design preferences, and target customer demographics through a web form. For example, the user may enter "customer attraction" as the "purpose of their business," "simple and modern" as the "design preference," and "local young adults" as the "target customer demographic." The terminal receives this input data and sends it to the server.

[1195] Receiving and storing data

[1196] The server receives the data submitted by the user and stores it in a database system such as MySQL or PostgreSQL, where it is prepared for use in subsequent analysis processes.

[1197] Data analysis and requirements extraction

[1198] The server applies natural language processing (NLP) techniques to the stored data and analyzes the acquired information. For example, it uses Python's NLTK or Spacy libraries to analyze text data and extract requirements such as the business's purpose, design preferences, and target customer demographic. For example, if the business purpose is entered as "small cafe," specific marketing and design requirements are extracted based on this information.

[1199] Design proposals and content generation

[1200] The server selects appropriate design templates and cascading style sheets (CSS) based on the extracted requirements. For example, it uses a CSS framework such as Bootstrap, and if a "simple and modern design" is required, it uses a white-based color scheme and sans-serif font. It also generates a specific HTML structure and creates templates for the top page, menu page, gallery page, etc. Furthermore, it uses Python libraries and generative AI models (e.g., GPT-3) to generate or select content (menus, photos, blog articles, etc.) according to the user's business, and also sets meta tags for SEO purposes.

[1201] Usability analysis and improvement suggestions

[1202] The server evaluates the usability of the generated web pages using tools such as Google Lighthouse. For example, it checks the page load speed, ease of navigation, and application of responsive design, and generates specific improvement suggestions based on the results. For example, "improve page load speed by compressing images" or "rearrange the navigation menu to improve user experience."

[1203] Sending and displaying proposal results

[1204] The server generates the results in HTML and CSS format that reflect the improvement suggestions and sends them to the device. The device receives the results and displays them as a preview in the browser. The user can check the preview and provide feedback if necessary.

[1205] Accepting user feedback and making improvements

[1206] The server receives feedback from the user and performs the re-analysis and re-generation process. For example, if the user sends feedback saying "the navigation menu is difficult to understand," the server will improve that part and re-generate the website. This allows the user to create the ideal website.

[1207] Specific examples

[1208] If a user wants to create a website for a "small cafe," they can enter their business objective as "attracting customers," their design preference as "simple and modern," and their target customer demographic as "local young adults." After receiving this information, the server analyzes it using natural language processing technology and generates an appropriate design template (white base, sans-serif font) and cafe-specific content (menu, photos, blog posts). It then builds a user-friendly website and suggests improvements based on the user's requests. Finally, it receives user feedback and makes any necessary modifications to create an optimal website.

[1209] An example of a prompt for the generative AI model we will use:

[1210] "I would like to create a website for a small cafe. The purpose of my commercial activities is to attract customers, my design preference is simple and modern, and my target customer base is young adults in the local area. I would like you to generate the optimal design template and content based on this information. I would also like you to build a user-friendly website and provide suggestions for improvements."

[1211] The flow of the identification process in the first embodiment will be described with reference to FIG.

[1212] Step 1: Collecting User-Input Information

[1213] The user enters information such as the purpose of their business, design preferences, and target customer demographic into a web form. For example, the "purpose of business" could be "attracting customers," the "design preferences" could be "simple and modern," and the "target customer demographic" could be "local young adults." The device receives this input data in real time and sends it to the server. The input is the user's information (purpose of business, design preferences, target customer demographic), and the output is the input data sent to the server.

[1214] Step 2: Receiving and storing data

[1215] The server receives the user data sent from the device and stores it in a database. Specifically, it uses a database system such as MySQL or PostgreSQL to efficiently store the received data. The input is the data sent from the device, and the output is the user information stored in the database.

[1216] Step 3: Data analysis and requirements extraction

[1217] The server applies natural language processing (NLP) techniques to the user data stored in the database. Specifically, it uses Python's NLTK and Spacy libraries to analyze text data and extract requirements related to the business's objectives, design preferences, and target customer demographics. For example, for a business objective of "small cafe," the analysis analyzes marketing strategies and design requirements. The input is the stored user data, and the output is the extracted requirements.

[1218] Step 4: Design proposals and content generation

[1219] 1. The server selects the optimal design template and CSS stylesheet based on the extracted requirements. For example, if a "simple and modern design" is required using a CSS framework such as Bootstrap, a white-based color scheme and sans-serif fonts will be used. The extracted requirements are the input, and the selected design template and CSS are the output.

[1220] 2. The server generates a specific HTML structure and applies the selected CSS styles to create a web page template. For example, a top page, menu page, gallery page, etc. are defined using HTML and CSS. The input is the selected design template and extracted requirements, and the output is the generated HTML and CSS templates.

[1221] 3. The server generates or selects content based on the user's business. Specifically, it uses Python libraries and generative AI models (e.g., GPT-3) to generate cafe menus, store photos, blog articles, etc., and sets meta tags for SEO purposes. The inputs are extracted requirements and analyzed data, and the output is generated content and meta tags.

[1222] Step 5: Usability analysis and improvement suggestions

[1223] The server evaluates the usability of the generated web page using tools such as Google Lighthouse. Specifically, it checks the page load speed, ease of navigation, and application of responsive design, and makes specific improvement suggestions based on the results. For example, "Improve page load speed by compressing images" or "Improve user experience by rearranging the navigation menu." The input is the generated web page, and the output is the generated improvement suggestions.

[1224] Step 6: Submit and view the proposal results

[1225] The server generates the results reflecting the improvement suggestions in HTML and CSS format and sends them to the terminal. The terminal receives this result and displays it as a preview in the browser. The user checks this preview and provides feedback if necessary. The input is the generated improvement suggestions and the modified web page, and the output is the preview displayed in the browser.

[1226] Step 7: Accept user feedback and make improvements

[1227] The server receives feedback from the user and performs a re-analysis and re-generation process. For example, if the user gives feedback that "the navigation menu is difficult to understand," the server makes corrections based on this opinion and re-generates the website. The input is the user's feedback, and the output is the corrected website. This allows the user to complete their ideal website.

[1228] (Application example 1)

[1229] 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."

[1230] In order for brick-and-mortar stores, especially small stores, to effectively attract customers and conduct marketing, it is necessary to quickly and easily create high-quality, highly usable websites. However, for users without specialized knowledge or skills, designing websites and generating content is not easy. It is also difficult to evaluate the usability of the created websites and make appropriate improvements. A system that can solve these user problems and efficiently operate websites is needed.

[1231] 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.

[1232] In this invention, the server includes means for acquiring information on business objectives, design preferences, and target audiences from users, means for analyzing the acquired information and extracting requirements for website design, means for generating website design proposals and content based on the extracted requirements, means for providing the generated design proposals and content to users, means for realizing the above functions as an application to be installed on a smartphone, and means for analyzing data using natural language processing technology and selecting design templates and style sheets. This enables even users without specialized knowledge or skills to quickly and easily create high-quality, highly usable websites, and further enables optimal website management through usability evaluations and improvement suggestions.

[1233] "User" refers to any business owner or individual who wants to create a website.

[1234] "Business Objective" refers to the goal or intention that a user wants to achieve through a website.

[1235] "Design preferences" refers to the specific tastes and requirements a user has for the appearance and style of a website.

[1236] "Target audience" refers to the specific customer or audience that your website primarily wants to attract.

[1237] "Means of collection" refers to the methods and tools used to collect specific information from users.

[1238] "Means for analyzing and extracting requirements for website design" refers to methods and techniques for analyzing collected information and deriving specific conditions and elements necessary for website design.

[1239] "Means for generating website design proposals and content" refers to methods and tools for creating website layouts and content based on extracted requirements.

[1240] "Means of provision" refers to the methods and technologies used to notify or display the generated website design proposals and content to users.

[1241] "Applications installed on smartphones" refers to software that realizes the above functions and is provided in a format that runs on smartphones.

[1242] "Natural language processing technology" refers to artificial intelligence technology for analyzing and interpreting text data entered by users.

[1243] "Design template" refers to a predefined layout or style that defines the basic structure and appearance of a website.

[1244] A "style sheet" refers to a set of rules that define the visual design elements (e.g., colors, fonts, layout) of a website.

[1245] "Usability" refers to the ease of use and operation of a website.

[1246] "Means for evaluation and outputting improvement suggestions" refers to methods and technologies for analyzing the usability of the generated website and providing specific suggestions for its improvement.

[1247] Collecting user-entered information

[1248] Users input the necessary information through an application installed on their smartphone, such as the business's purpose (e.g., "cafe"), design preferences (e.g., "simple and modern"), and target audience (e.g., "young adults"). The device receives this input data and sends it to the server.

[1249] Receiving and storing data

[1250] The server receives the data submitted by the user and stores it in an SQLite database, where it is prepared for use in the subsequent analysis process.

[1251] Data analysis and requirements extraction

[1252] The server applies natural language processing (TextBlob) to the stored data to analyze the input. From the analysis results, requirements such as the business's purpose, design preferences, and target audience are extracted. For example, a "small cafe" may require specific elements in its marketing strategy, and a "simple and modern design" may be set as the site's visual theme, with the services offered primarily targeted at "local young adults."

[1253] Design proposals and content generation

[1254] The server selects an appropriate design template and style sheet (CSS) based on the extracted requirements. For example, if a "simple and modern" design is desired, it generates a CSS style that uses a white-based color scheme and sans-serif font. It also defines a specific HTML structure and creates a template that applies the selected CSS style. For example, it creates a layout that includes a "cafe homepage," "menu page," and "gallery page." The generated content includes the cafe menu, store photos, and staff introductions.

[1255] Usability analysis and improvement suggestions

[1256] The server evaluates the usability of the generated web page. For example, it checks the page load speed, ease of navigation, and the application of responsive design. Based on this, it makes suggestions for improving usability. For example, it provides specific suggestions such as "improving page load speed by compressing images" or "improving user operability by rearranging the navigation menu."

[1257] Sending and displaying proposal results

[1258] The server generates the proposed results in HTML and CSS format and sends them to the device. The device receives the results and displays them as a preview in the browser. The user can check the actual preview and send correction requests or feedback as needed.

[1259] Accepting user feedback and making improvements

[1260] The server receives feedback from the user, then performs a re-analysis and re-generation process and provides the modified website, allowing the user to create their ideal website.

[1261] Specific examples

[1262] If a user wants to create a website for a small cafe, they input their business purpose as "cafe," their design preference as "simple and modern," and their target audience as "local young adults." After receiving this information, the server analyzes it using natural language processing technology and generates an appropriate design template (white background, sans-serif font) and content specific to the cafe (menu, photos, blog posts). For example, the following prompt might be used:

[1263] Design a simple and modern website for a cafe business targeting local young adults. The template should use a white color scheme and sans-serif font, and generate pages that include a menu, photos of the store, and staff introductions.

[1264] The server builds a highly usable website, proposes improvements based on user requests, and finally receives user feedback and makes any necessary modifications to complete the optimal website.

[1265] In this way, by implementing the present invention, users can easily create and operate high-quality, highly usable websites without any specialized knowledge.

[1266] The flow of the specific processing in the application example 1 will be described with reference to FIG.

[1267] Step 1:

[1268] Users enter their business purpose (e.g., "cafe"), design preferences (e.g., "simple and modern"), and target audience (e.g., "young adults") through an application installed on their smartphone. This information is received by the device and sent to the server. The input data is in text format, and the device prepares it to be sent to the server.

[1269] Step 2:

[1270] The device sends the received user input data to the server, which receives the data in text format and stores it in an SQLite database, preparing the data for subsequent analysis processes.

[1271] Step 3:

[1272] The server applies natural language processing (TextBlob) to the stored data to analyze the input content. At this time, requirements such as business objectives, design preferences, and target audience are extracted. Data processing involves analyzing the input text and performing data calculations to extract specific keywords and phrases to identify requirements. For example, the input "cafe" can identify the category "food and beverage industry."

[1273] Step 4:

[1274] The server uses a generative AI model based on the extracted requirements to select an appropriate design template and style sheet (CSS). Specifically, a white-based color scheme and sans-serif font style is selected based on the requirement of "simple and modern." The selection process is carried out by a design template selection algorithm.

[1275] Step 5:

[1276] The server defines the specific HTML structure using the design template and CSS stylesheet, creates a template with the specified style applied, and generates or selects content (text, images, videos, etc.) according to the user's business and places it on the HTML template. This process includes reading from a database and using content generation algorithms.

[1277] Step 6:

[1278] The server evaluates the usability of the generated website. The evaluation includes factors such as page load speed, ease of navigation, and the application of responsive design. Based on the evaluation results, it generates suggestions for improving usability. Examples of suggestions include "improving page load speed by compressing images" and "improving user experience by rearranging the navigation menu."

[1279] Step 7:

[1280] The server generates the website design and content along with the proposed results in HTML and CSS format and sends them to the device. The device receives the results and displays them as a preview in the browser. The user can check the preview and submit correction requests or feedback as needed.

[1281] Step 8:

[1282] The server receives the user's feedback, performs a re-analysis and re-generation process, generates a revised website, and sends it back to the terminal, thus completing the optimal website based on the user's feedback.

[1283] 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.

[1284] User input information collection and emotion recognition

[1285] Users fill out a web form with information about their business purpose (e.g., "small cafe"), design preferences (e.g., "simple and modern"), and target audience (e.g., "local young adults"). The device captures the user's input data and sends it to the server.

[1286] Receiving and storing data

[1287] The server receives the user data sent from the device and stores it in a database. At the same time, it also records the user's input behavior (e.g., typing speed, mouse movement patterns, etc.) and sends it to the emotion engine.

[1288] Emotion Recognition and Analysis

[1289] The emotion engine installed on the server analyzes user input and behavioral data to recognize the user's emotions (e.g., "anxiety," "satisfaction," "excitement," etc.). The recognized emotional information is reflected in the website design and content generation.

[1290] Data analysis and requirements extraction

[1291] The server uses natural language processing technology to analyze the stored data and the emotional information from the emotion engine, and extracts requirements based on business objectives, design preferences, target audience, and user emotions from the analysis results.

[1292] Design proposals and content generation

[1293] 1. The server selects an appropriate design template and CSS style based on the extracted requirements and emotion information. For example, if the user prefers a "simple and modern" design and has an emotion of "satisfaction," the server selects a style that uses a white-based color scheme and sans-serif font.

[1294] 2. The server creates a template that defines the specific HTML structure and applies the selected CSS styles, including layouts for the "cafe homepage," "menu page," and "gallery page."

[1295] 3. The server generates or selects content (text, images, videos, etc.) that corresponds to the user's business. For example, this may include a cafe menu, store photos, and staff introductions. Furthermore, taking into account the information from the emotion engine, the server selects colors and font sizes that will make the user feel relaxed.

[1296] Usability analysis and emotional evaluation

[1297] The server evaluates the usability of the generated web pages, checking things like page load speed, ease of navigation, and the application of responsive design. It also collects users' emotional evaluations of usability through an emotion engine.

[1298] Output of improvement suggestions

[1299] The server generates improvement suggestions based on the usability evaluation results and emotional evaluations. For example, it suggests "improving page load speed by compressing images" or "improving user experience by rearranging the navigation menu." It also makes specific suggestions such as "highlighting the FAQ page if the user is feeling unsure."

[1300] Sending and displaying proposal results

[1301] The server outputs the generated design proposals, content, and usability improvement suggestions in HTML and CSS format and sends them to the device. The device displays the HTML and CSS received from the server in a browser and provides a preview to the user. The user can check the preview and send feedback or correction requests as necessary.

[1302] Accepting user feedback and making improvements

[1303] The server receives the user's feedback and performs another analysis and modification process, thus completing the final website based on the user's specific requirements and sentiment information.

[1304] Specific examples

[1305] If a user wants to create a website for a "small cafe," they can enter their business objective as "attracting customers," their design preference as "simple and modern," and their target audience as "local young adults." After receiving this information, the server analyzes it using natural language processing technology and uses an emotion engine to recognize the user's emotions of "excitement" and "anticipation." It then generates an appropriate design template (white base, sans-serif font) and cafe-specific content (menu, photos, blog posts) to enhance usability and emotional satisfaction. Based on user feedback, the ideal website is then completed.

[1306] In this way, the present invention provides a system that enables users to easily create and operate high-quality, highly usable websites that take emotional satisfaction into consideration, even if they do not have specialized knowledge.

[1307] The processing flow will be explained below.

[1308] Step 1:

[1309] Users fill out a web form to describe their business purpose (e.g., "small cafe"), design preferences (e.g., "simple and modern"), and target audience (e.g., "local young adults"), while their behavioral data (typing speed, mouse movement patterns, etc.) is also recorded.

[1310] Step 2:

[1311] The device acquires the user's input data and sends it to the server, along with the behavioral data.

[1312] Step 3:

[1313] The server receives the user's input data and behavioral data sent from the terminal and stores them in a database.

[1314] Step 4:

[1315] The server analyzes the stored data using natural language processing technology to extract business objectives, design preferences, and target audience requirements.

[1316] Step 5:

[1317] The emotion engine installed on the server analyzes the user's input behavior data and recognizes the emotions the user is feeling (e.g., "anxiety," "satisfaction," "excitement," etc.). The emotional information recognized here is reflected in the website design.

[1318] Step 6:

[1319] The server selects an appropriate design template and CSS style based on the extracted requirements and emotion information. For example, if a "simple and modern" design is desired and the emotion "satisfied" is recognized, a template using a white-based color scheme and sans-serif fonts will be selected.

[1320] Step 7:

[1321] The server defines the specific HTML structure and creates templates with the selected CSS styles applied, including layouts for the "cafe homepage," "menu page," and "gallery page."

[1322] Step 8:

[1323] The server generates or selects content (text, images, videos, etc.) according to the user's business details and emotional information, including, for example, a cafe menu, store photos, and staff introductions.

[1324] Step 9:

[1325] The server places the generated content on an HTML template to build a web page, and also sets meta tags and implements SEO measures to create a web page that is optimized for search engines.

[1326] Step 10:

[1327] The server then performs a usability assessment on the generated web pages, checking things like page load speed, ease of navigation, and whether or not they incorporate responsive design.

[1328] Step 11:

[1329] The server generates usability improvement suggestions, taking into account the user's emotional information collected through the emotion engine. For example, it suggests "improving page load speed by compressing images" or "improving user operability by rearranging the navigation menu." It also makes specific suggestions, such as "highlighting the FAQ page if the user is feeling anxious."

[1330] Step 12:

[1331] The server outputs the generated design proposals, content, and usability improvement proposals in HTML and CSS format and sends them to the terminal.

[1332] Step 13:

[1333] The device displays the HTML and CSS received from the server in a browser and provides a preview to the user, who can then check the preview and provide feedback or correction requests as needed.

[1334] Step 14:

[1335] The server receives the user's feedback and performs another analysis and revision process. The analysis also uses an emotion engine, incorporating additional emotion information gained through user feedback. Through this process, a high-quality website based on the user's specific requirements and emotion information is finally completed.

[1336] Example 2

[1337] 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."

[1338] Conventional website creation systems have the problem that it is extremely difficult to create high-quality, highly usable websites when users lack specialized knowledge. Furthermore, they lack the ability to generate designs and content that take user emotions into consideration, which prevents sufficient user satisfaction. In addition, usability evaluation and the generation of improvement suggestions are often performed manually, hindering efficient website management.

[1339] The specific processing by the specific processing unit 290 of the data processing device 12 in the second embodiment is realized by the following means.

[1340] In this invention, the server includes means for acquiring from a user information such as business objectives, design preferences, target audience, and behavioral data at the time of user input, means for analyzing the acquired information and behavioral data and recognizing the user's emotions, means for extracting requirements necessary for website design using natural language processing technology based on the analyzed data and emotional information, means for generating website design proposals and content based on the extracted requirements and emotional information, and means for providing the generated design proposals and content to the user and displaying them as previews. This makes it possible to create and operate a high-quality, highly usable website that takes user emotions into consideration, even without specialized knowledge.

[1341] "Business Objective" is the business goal or intent that the user is trying to achieve.

[1342] "Design preferences" are individual preferences regarding the appearance and style of a website that a user desires.

[1343] "Target audience" is the specific demographic or market segment that a website primarily targets.

[1344] "Behavioral data" refers to data related to a user's input behavior (e.g., typing speed, mouse movement patterns, etc.).

[1345] An "emotion engine" is an algorithm or system that analyzes user behavior and input data to recognize the user's emotional state.

[1346] "Natural language processing technology" is an artificial intelligence technology for understanding, generating, and analyzing natural language.

[1347] "Requirements" refers to the specifications and conditions necessary for the design of a website.

[1348] "Design Proposal" means a blueprint or proposal for the layout and style of the website.

[1349] "Content" refers to the information elements such as text, images, and videos displayed on a website.

[1350] "Usability" refers to the ease of use and operability of a website.

[1351] "Improvement Suggestions" are specific suggestions or advice for improving the usability or design of a website.

[1352] "Feedback" refers to information such as ratings, opinions, and correction requests provided by users.

[1353] "Preview" is a feature that displays website design ideas and content so that users can check them.

[1354] This invention provides a system that enables users to easily create and operate high-quality, highly usable websites without specialized knowledge. This system includes a series of processes: collecting user-entered information, recognizing emotions, analyzing data, generating design proposals and content, evaluating usability, generating and displaying improvement suggestions, and accepting user feedback to reanalyze and regenerate the content.

[1355] User input information collection and emotion recognition

[1356] Users access the system using a web browser and enter their business purpose (e.g., "small cafe"), design preferences (e.g., "simple and modern"), and target audience (e.g., "local young adults") into a web form. The device captures this information entered by the user and sends it to the server via a secure HTTP request (e.g., HTTPS).

[1357] Receiving and storing data

[1358] The server receives the HTTP request sent from the device and extracts the user's input data from the request body. The server executes SQL queries to store the extracted data in a database management system (e.g., MySQL, PostgreSQL). At the same time, it also records the user's input behavior data (e.g., typing speed, mouse movement patterns, etc.) and sends this data to a proprietary emotion engine.

[1359] Emotion Recognition and Analysis

[1360] The emotion engine (e.g., a machine learning model implemented in Python) installed on the server analyzes the user's input data and behavioral data to recognize the user's emotions (e.g., "anxiety," "satisfaction," "excitement," etc.). The recognized emotion information is stored in a database and used for subsequent analysis and design generation.

[1361] Data analysis and requirements extraction

[1362] The server analyzes the data using natural language processing technology (e.g., GPT-3, BERT, etc.) based on the stored user data and sentiment information, and extracts requirements based on business objectives, design preferences, target audience, and user sentiment from the analysis results.

[1363] Design proposals and content generation

[1364] The server selects an appropriate design template and CSS style based on the extracted requirements and emotional information. For example, if a user prefers a "simple and modern" design and has the emotion "satisfied," it selects a white-based color scheme and sans-serif font. The server defines the specific HTML structure and creates a template that applies the selected CSS style. For example, it designs layouts for a "cafe homepage," "menu page," "gallery page," and so on. It also generates or selects content (e.g., cafe menu, store photos, staff introductions, etc.) that corresponds to the user's business.

[1365] Usability analysis and emotional evaluation

[1366] The server evaluates the usability of the generated web pages, specifically by checking page load speed, ease of navigation, and the application of responsive design. It also collects users' emotional evaluations of usability through an emotion engine.

[1367] Output and display of improvement suggestions

[1368] The server generates improvement suggestions based on the usability evaluation results and emotional evaluation. For example, it makes specific suggestions such as "improve page load speed by compressing images" or "improve user operability by rearranging the navigation menu." It also generates suggestions such as "highlight the FAQ page if the user is feeling uneasy." The generated design proposals, content, and usability improvement suggestions are output in HTML and CSS format and sent to the terminal. The terminal displays the HTML and CSS received from the server in a browser and provides a preview to the user.

[1369] Accepting user feedback and making improvements

[1370] The server receives the user's feedback and performs another analysis and modification process, resulting in a final website based on the user's specific requirements and sentiment information.

[1371] Specific prompt examples

[1372] "Generate the design and content for a website for a small cafe. The business's objective is to attract customers, the design preference is simple and modern, and the target audience is local young adults. Use an emotion engine to consider user emotions."

[1373] The flow of the identification process in the second embodiment will be described with reference to FIG.

[1374] Step 1:

[1375] Users access the system using a web browser and enter information about their business objectives, design preferences, and target audience into a web form. The entered data (business objectives, design preferences, target audience) is stored in the device's memory.

[1376] Step 2:

[1377] The device takes the data entered by the user and sends it to the server via a secure HTTP request (e.g., HTTPS). A request body containing the input data (business objectives, design preferences, target audience) is created and sent.

[1378] Step 3:

[1379] The server receives the HTTP request sent from the terminal and extracts the user's input data from the request body. The input data is temporarily stored in the server's memory.

[1380] Step 4:

[1381] The server executes SQL queries to store the extracted data in a database management system (e.g., MySQL, PostgreSQL). The SQL queries store the input data in the database.

[1382] Step 5:

[1383] The server records the user's input behavior data (e.g., typing speed, mouse movement patterns, etc.) and sends this to a proprietary emotion engine.

[1384] Step 6:

[1385] The emotion engine installed on the server analyzes the user's emotional state (e.g., "anxiety," "satisfaction," "excitement," etc.) using input data and behavioral data. Emotional information (e.g., "expectation") is generated and stored in the server's memory.

[1386] Step 7:

[1387] The server executes an SQL query to store the user's emotional information obtained as a result of the analysis in a database. The emotional information is stored in the database by the SQL query.

[1388] Step 8:

[1389] The server analyzes the data using natural language processing technology (e.g., GPT-3, BERT, etc.) based on the stored user data and emotional information. User data and emotional information are given as input to the natural language processing model, and requirements based on business objectives, design preferences, target audience, and user emotions are extracted as analysis results.

[1390] Step 9:

[1391] The server selects an appropriate design template and CSS style based on the extracted requirements and sentiment information. This selection is performed by an algorithm, and the selected template and CSS style are output.

[1392] Step 10:

[1393] The server creates a template that defines the specific HTML structure and applies the selected CSS styles. The HTML structure and CSS styles are combined to generate the layout of the web page.

[1394] Step 11:

[1395] The server generates or selects content according to the user's business (e.g., cafe menu, store photos, staff introductions, etc.). The generated / selected content is incorporated into an HTML template.

[1396] Step 12:

[1397] The server evaluates the usability of the generated web pages, measuring items such as page load speed, ease of navigation, and application of responsive design, and then compiles the results.

[1398] Step 13:

[1399] The server collects users' emotional evaluations of usability through an emotion engine, which analyzes the emotion information based on the usability evaluations and outputs the collected emotional evaluation data.

[1400] Step 14:

[1401] The server generates improvement suggestions based on the usability evaluation results and emotional evaluation, such as improving page load speed or rearranging the navigation menu.

[1402] Step 15:

[1403] The server outputs the generated design proposals, content, and usability improvement proposals in HTML and CSS format and sends them to the terminal.

[1404] Step 16:

[1405] The device displays the HTML and CSS received from the server in a browser and provides a preview to the user, who can then review the preview and provide feedback or correction requests if necessary.

[1406] Step 17:

[1407] The server receives the user feedback and runs the analysis and revision process again, generating new design ideas and content to create the final website.

[1408] (Application example 2)

[1409] 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."

[1410] Conventional website generation systems generate websites based on a user's business objectives, design preferences, and target audience, but do not support content generation that takes user emotions and feedback into account. Furthermore, usability evaluation and improvement suggestions are limited, making it difficult to provide optimal websites. The objective of this invention is to solve these problems by proposing a system that understands user emotions and provides optimal design proposals and content.

[1411] The specific processing by the specific processing unit 290 of the data processing device 12 in the application example 2 is realized by the following means.

[1412] In this invention, the server includes means for acquiring information on business objectives, design preferences, and target audience from a user, means for analyzing the acquired information and extracting requirements for website design, means for analyzing the user's emotional state using an emotion recognition engine, means for generating website design proposals and content based on the extracted requirements and the analyzed emotional information, means for inputting prompt sentences into a generative AI model to generate optimized design proposals and content, and means for providing the generated design proposals and content to the user. This makes it possible to generate high-quality, highly usable websites that also take user emotions and feedback into consideration.

[1413] "Business Objectives" are the specific business goals or intentions that users want to achieve through the website.

[1414] "Design preferences" refers to the website design style and visual expression that users prefer.

[1415] A "target audience" is a specific audience or user group that a website targets.

[1416] An "emotion recognition engine" is software that analyzes user input and behavioral data to automatically recognize a user's emotional state.

[1417] "Requirements extraction" is the process of identifying the conditions and features necessary for website design from user input and emotional information.

[1418] A "generative AI model" is an artificial intelligence model that generates optimal website design proposals and content based on user requirements and emotional information.

[1419] A "prompt" is a textual instruction that is entered to give instructions to a generative AI model.

[1420] A "design proposal" is a specific proposal or plan for the layout and visual design of a website.

[1421] "Content" refers to all information displayed on the website, including text, images, and videos.

[1422] "Usability evaluation" is the process of evaluating how easy a generated website is to use and how convenient it is for users.

[1423] "Improvement Suggestions" are specific advice or suggested modifications to improve the performance or usability of a website, based on the results of the usability evaluation.

[1424] System configuration

[1425] In this invention, the specific system for implementing the invention collects user input information, analyzes the data and recognizes emotions, generates design proposals and content, evaluates usability, and proposes improvements. The components of the system and their specific operations are shown below.

[1426] Collecting user-entered information

[1427] Users use a smartphone, tablet, or head-mounted display (HMD) to fill out a web form with information about their business objectives, design preferences, and target audience, which is then sent from the device to a server.

[1428] Data analysis and emotion recognition

[1429] The server receives the information sent by the user and stores it in a database. At the same time, it also records the user's input behavior (typing speed, mouse movement patterns, etc.) and sends this to an emotion recognition engine. The emotion recognition engine analyzes the input data and behavioral data to recognize the user's emotions (excitement, anticipation, anxiety, etc.). Natural language processing libraries such as TextBlob are used for emotion analysis.

[1430] Design proposals and content generation

[1431] Based on the analyzed data and emotional information, the server inputs prompts into a generative AI model to generate design proposals and content. OpenAI's API is used as the generative AI model. An example prompt might be "Business purpose: small cafe, Design preference: simple and modern, Target audience: local young adults, Emotion: excitement."

[1432] The generated design proposals include, for example, a simple and modern layout using a white-based color scheme and sans-serif font, as well as content such as specific cafe menus, photos, and videos.

[1433] Usability evaluation and improvement suggestions

[1434] The server evaluates the usability of the generated website. Evaluation criteria include page load speed, ease of navigation, and the application of responsive design. An emotion recognition engine also collects the user's emotional evaluation of usability. Based on this, the server generates specific improvement suggestions and provides them to the user.

[1435] Hardware and software used

[1436] Hardware: smartphone, tablet, HMD (e.g. Oculus Rift)

[1437] Software: Python 3, openai library, TextBlob

[1438] The program performs sentiment analysis based on user input, and then generates optimized design proposals and content using a generative AI model. This allows users to easily create and operate high-quality websites that match their emotions.

[1439] Specific examples

[1440] For example, if a user wants to create a website for a "small cafe," the server will obtain the user's input information on "business objectives," "design preferences," and "target audience," and use an emotion recognition engine to recognize the user's "excitement" and "expectation." The server then inputs the following prompt sentences into the generative AI model to generate a design proposal:

[1441] "Business purpose: Small cafe, Design preference: Simple and modern, Target audience: Local young adults, Emotion: Excitement"

[1442] Based on this prompt, a simple and modern layout using a white-based color scheme and sans-serif font is generated, along with other content such as the cafe menu, store photos, and staff introductions.

[1443] The flow of the specific processing in the application example 2 will be described with reference to FIG.

[1444] Step 1:

[1445] Users use a smartphone, tablet, or HMD to enter information about their business purpose, design preferences, and target audience into a web form. The server receives this information from the device and stores it in a database. At this stage, the input data includes the business purpose ("small cafe"), design preference ("simple and modern"), and target audience ("local young adults").

[1446] Inputs: User-supplied business objectives, design preferences, and target audience

[1447] Output: User-entered data stored on the server

[1448] Step 2:

[1449] The server records the user's input behavior data (such as typing speed and mouse movement patterns) and sends it to the emotion recognition engine, which analyzes this behavior data and recognizes the user's emotional state (excitement, anticipation, anxiety, etc.).

[1450] Input: User input behavior data

[1451] Output: Analyzed user sentiment information

[1452] Step 3:

[1453] The server uses natural language processing technology to extract website design requirements based on the stored user input data and the recognized emotion information. For example, the server can extract appropriate design templates and layout requirements based on the user's business objectives and design preferences.

[1454] Input: Stored user input data, recognized emotion information

[1455] Output: Extracted website design requirements

[1456] Step 4:

[1457] The server inputs prompts into a generative AI model based on the extracted requirements and recognized emotion information to generate optimized design proposals and content. The generative AI model used here uses OpenAI's API. An example prompt is "Business purpose: small cafe, Design preference: simple and modern, Target audience: local young adults, Emotion: excitement."

[1458] Input: Extracted website design requirements, recognized emotional information

[1459] Output: A prompt to be input to the generative AI model

[1460] Step 5:

[1461] The generative AI model generates optimized design ideas and content based on the prompt, including, for example, a white-based color scheme, the use of sans-serif fonts, specific cafe menu items, photos, and videos.

[1462] Input: The prompt text entered into the generative AI model

[1463] Output: Generated design proposals and content

[1464] Step 6:

[1465] The server provides the generated design proposals and content to the user, who can then preview and check them on their device.

[1466] Input: Generated design ideas and content

[1467] Output: A preview screen provided to the user

[1468] Step 7:

[1469] Users provide feedback on the generated design proposals and content, which the server accepts, reanalyzes, and regenerates, resulting in an optimized website based on user feedback.

[1470] Input: User feedback

[1471] Output: Re-analyzed and re-generated website design proposals and content

[1472] Step 8:

[1473] Finally, the server evaluates the usability and provides suggestions for improving the generated website, such as page load speed, ease of navigation, and the use of responsive design.

[1474] Input: Generated website design ideas and content

[1475] Output: Usability evaluation, improvement suggestions

[1476] This series of processes generates a high-quality, highly usable website that reflects user emotions and feedback.

[1477] 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.

[1478] 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.

[1479] 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.

[1480] 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.

[1481] 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.

[1482] 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.

[1483] 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).

[1484] 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.

[1485] 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."

[1486] 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.

[1487] 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).

[1488] 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.

[1489] 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.

[1490] 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.

[1491] 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.

[1492] 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.

[1493] 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.

[1494] 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.

[1495] 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.

[1496] 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.

[1497] 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.

[1498] The following is further disclosed regarding the above embodiment.

[1499] (Claim 1)

[1500] A way to obtain information from users about their business objectives, design preferences, and target audience;

[1501] A means for analyzing the acquired information and extracting requirements for website design;

[1502] A means for generating website design proposals and content based on the extracted requirements;

[1503] A means for providing the generated design proposals and content to a user;

[1504] A system including:

[1505] (Claim 2)

[1506] 10. The system of claim 1, further comprising means for accepting feedback from a user and for reanalyzing and regenerating.

[1507] (Claim 3)

[1508] 2. The system according to claim 1, further comprising means for evaluating the usability of the generated website and outputting improvement suggestions.

[1509] (Claim 4)

[1510] 2. The system according to claim 1, wherein the analysis uses natural language processing technology.

[1511] (Claim 5)

[1512] 10. The system of claim 1, further comprising means for generating design suggestions and content in HTML and CSS format.

[1513] "Example 1"

[1514] (Claim 1)

[1515] A means of obtaining information from users regarding their commercial objectives, design preferences, and target customer demographics;

[1516] A means for analyzing the acquired information and extracting the requirements necessary for building a website;

[1517] A means for generating a website design proposal and content based on the extracted requirements;

[1518] A means for providing the generated design proposals and content to a user;

[1519] A system including:

[1520] (Claim 2)

[1521] 10. The system of claim 1, further comprising means for accepting user feedback and for reanalyzing and regenerating.

[1522] (Claim 3)

[1523] 2. The system according to claim 1, further comprising means for evaluating the usability of the generated website and outputting improvement suggestions.

[1524] "Application Example 1"

[1525] (Claim 1)

[1526] A way to obtain information from users about their business objectives, design preferences, and target audience;

[1527] A means for analyzing the acquired information and extracting requirements for website design;

[1528] A means for generating website design proposals and content based on the extracted requirements;

[1529] A means for providing the generated design proposals and content to a user;

[1530] A means for realizing the above functions as an application installed on a smartphone;

[1531] A means for analyzing the data using natural language processing technology and selecting a design template and stylesheet;

[1532] A system including:

[1533] (Claim 2)

[1534] 10. The system of claim 1, further comprising means for accepting feedback from a user and for reanalyzing and regenerating.

[1535] (Claim 3)

[1536] 2. The system according to claim 1, further comprising means for evaluating the usability of the generated website and outputting improvement suggestions.

[1537] "Example 2: Combining Emotion Engines"

[1538] (Claim 1)

[1539] a means of obtaining business objectives, design preferences, target audience, and user input behavior data from the user;

[1540] A means for analyzing the acquired information and behavioral data and recognizing the user's emotions;

[1541] A means for extracting requirements necessary for website design using natural language processing technology based on the analyzed data and emotion information;

[1542] A means for generating a website design proposal and content based on the extracted requirements and emotion information;

[1543] A means for providing the generated design proposals and content to the user and displaying them as previews;

[1544] A system including:

[1545] (Claim 2)

[1546] 10. The system of claim 1, further comprising means for accepting feedback from a user and for reanalyzing and regenerating.

[1547] (Claim 3)

[1548] 2. The system according to claim 1, further comprising means for evaluating the usability of the generated website and outputting improvement suggestions.

[1549] "Application example 2 when combining emotion engines"

[1550] (Claim 1)

[1551] A means of obtaining information from users about their business objectives, design preferences, and target audience;

[1552] A means for analyzing the acquired information and extracting requirements for website design;

[1553] means for analyzing the emotional state of a user using an emotion recognition engine;

[1554] A means for generating a website design proposal and content based on the extracted requirements and the analyzed emotion information;

[1555] A means for inputting a prompt sentence into a generative AI model to generate optimized design proposals and content;

[1556] A means for providing the generated design proposals and content to a user;

[1557] A system including:

[1558] (Claim 2)

[1559] 10. The system of claim 1, further comprising means for accepting feedback from a user and for reanalyzing and regenerating.

[1560] (Claim 3)

[1561] 2. The system according to claim 1, further comprising means for evaluating the usability of the generated website and outputting improvement suggestions. [Explanation of symbols]

[1562] 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. A way to obtain information from users about their business objectives, design preferences, and target audience; A means for analyzing the acquired information and extracting requirements for website design; A means for generating website design proposals and content based on the extracted requirements; A means for providing the generated design proposals and content to a user; A system including:

2. 10. The system of claim 1, further comprising means for accepting feedback from a user and for reanalyzing and regenerating.

3. The system according to claim 1, further comprising means for evaluating the usability of the generated website and outputting improvement suggestions.

4. 2. The system according to claim 1, wherein the analysis uses natural language processing techniques.

5. The system of claim 1 further comprising means for generating design suggestions and content in HTML and CSS format.

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