system

Abstract

We provide the system. [Solution] A profiling means that generates a profile based on information provided by the user, A profiling method that generates characteristics based on information provided by the user, A means of exploration that identifies growth opportunities by collecting and analyzing information, A means for generating business ideas based on user characteristics and information, A verification method to evaluate the feasibility of the generated business idea and to clearly identify areas for improvement, A planning method for formulating a concrete action plan to realize a business idea, A location-based method that presents region-specific business ideas in real time, A system that includes this.

Description

Technical Field

[0005] , ,

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] For users who want to start a new business, the process of idea creation and market analysis is complex and time-consuming. Therefore, an efficient and accurate support system is required. In addition, there is a lack of a mechanism for evaluating the feasibility and market suitability of the obtained business ideas and proposing a specific action plan. To solve this problem, a system that accurately captures user characteristics and market trends and leads to optimal business ideas is needed.

Means for Solving the Problems

[0005] This invention provides a system that combines user profiling means, scanning means, generation means, verification means, and planning means. The user profiling means generates a detailed profile from information provided by the user. The scanning means collects and analyzes market data to identify growth opportunities. The generation means generates feasible business ideas based on the user profile and market data. Furthermore, the verification means evaluates the feasibility of the generated ideas from multiple perspectives and presents specific areas for improvement to the user. Finally, the planning means formulates and provides a concrete action plan for realizing the business idea, thereby providing a means to solve problems.

[0006] A "user profiling tool" is a device that analyzes information provided by a user and generates a detailed profile based on their experience, skills, and interests.

[0007] A "scanning tool" is a device that collects market data from the internet and other data sources and analyzes it to identify growth opportunities.

[0008] A "generation method" is a system that has the function of generating actionable business ideas by combining user characteristics and market growth opportunities, based on user profiles and market data.

[0009] A "verification tool" is a tool that has the function of evaluating the feasibility and market suitability of a generated business idea from multiple perspectives and suggesting specific areas for improvement.

[0010] A "planning tool" is a tool that has the function of formulating and providing concrete action plans for realizing a validated business idea. [Brief explanation of the drawing]

[0011] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Figure 11] This is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] This is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] This is a sequence diagram showing the processing flow of the data processing system in Example 2, which incorporates an emotion engine. [Figure 14] This is a sequence diagram showing the processing flow of the data processing system in Application Example 2, which combines an emotion engine. [Modes for carrying out the invention]

[0012] Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings.

[0013] First, the terms used in the following description will be explained.

[0014] In the following embodiments, the numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0015] In the following embodiments, the numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0016] In the following embodiments, the numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, and the like.

[0017] In the following embodiments, the numbered communication I / F (Interface) is an interface including a communication processor and 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), or Bluetooth (registered trademark), and the like.

[0018] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0019] [First Embodiment]

[0020] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0021] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0022] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0023] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0024] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0025] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0026] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0027] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0028] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0029] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0030] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0031] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0032] This invention is a system for efficiently generating and evaluating new business ideas using users, servers, and terminals, and for providing users with feasible action plans. The following specifically describes embodiments of this invention.

[0033] Users log in to the system using their devices and input information about their business idea, their experience, skills, and interests. The server receives this information and analyzes it using natural language processing technology. As a result of the analysis, a user profile is generated and stored on the server. The profile includes keywords and data generated based on past success stories.

[0034] Next, the server utilizes scanning methods to collect market data from the internet and other data sources. This includes market trends and competitive information in specific industries and regions. This collected data forms the basis for identifying growth opportunities.

[0035] Subsequently, the generation system runs on the server and generates business ideas optimized for the user based on the user's strengths and market data. Multiple ideas are created, and the server sends and presents them to the user's terminal.

[0036] Once a user selects an idea of ​​interest from the presented options, the server uses validation tools to evaluate its feasibility and market fit. This process utilizes SWOT analysis and other evaluation methods to analyze the idea's strengths, weaknesses, and market threats and opportunities.

[0037] Finally, the server uses planning tools to develop a concrete action plan based on the evaluated business idea. This action plan specifies the necessary resources and steps and is provided to the user's terminal. This allows the user to proceed with the business according to the plan.

[0038] For example, if a user is thinking of an idea for a new healthcare service based on AI technology, this system combines the user's AI skills with market trends in AI technology to generate a specific business idea such as "personalized health management service using AI." It then verifies how this idea would be received in the market and provides the user with a detailed plan for implementation. Thus, the present invention is a system that streamlines the process of planning and executing new businesses and provides valuable business ideas to users.

[0039] The following describes the processing flow.

[0040] Step 1:

[0041] Users log in to the system using their devices and enter information about their business ideas, experience, skills, and interests. The server receives this information and stores it in a database.

[0042] Step 2:

[0043] The server analyzes the received information using natural language processing techniques to extract important keywords and themes. Based on this analysis, it generates a user profile.

[0044] Step 3:

[0045] The server uses the generated user profile to activate scanning mechanisms to automatically collect market data from the internet and other data sources. This includes market trends and competitive information.

[0046] Step 4:

[0047] The server analyzes collected market data and identifies untapped markets with growth opportunities that leverage the user's strengths.

[0048] Step 5:

[0049] The server integrates user profiles and market analysis results, and uses generation methods to generate multiple feasible business ideas.

[0050] Step 6:

[0051] The user selects a business idea that interests them from those presented on their device. The selected idea is then sent to the server.

[0052] Step 7:

[0053] The server uses validation tools to comprehensively evaluate the feasibility and market suitability of the selected ideas. This evaluation employs methods such as SWOT analysis to identify strengths and areas for improvement.

[0054] Step 8:

[0055] Based on the evaluation results, the server uses planning tools to develop a concrete action plan. This plan includes specific steps and necessary resources.

[0056] Step 9:

[0057] The server transmits the formulated action plan to the terminal, providing it to the user in an actionable format. The user then proceeds with commercialization based on this plan.

[0058] (Example 1)

[0059] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0060] When generating new business ideas and creating concrete implementation plans, it is essential to efficiently combine user skills and interests with market trends. However, traditional methods require a significant amount of time for information gathering and analysis, making it difficult to generate optimal ideas and develop concrete plans. This creates obstacles to starting new businesses.

[0061] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0062] In this invention, the server includes means for generating characteristic information based on information provided by the user, means for identifying growth potential by collecting and analyzing market information, and means for generating business plans based on the characteristic information and market information. This enables the rapid integration of the user's individual characteristics and market conditions, making it possible to plan new businesses and formulate concrete implementation plans.

[0063] "Characteristic information" refers to information that reflects an individual's skills and interests, extracted from data provided by the user.

[0064] "Market information" refers to data on trends and competitor activities in a specific industry or region.

[0065] A "business plan" refers to a new business idea or concept generated based on user characteristic information and market information.

[0066] "Generative means" refers to processes or devices that create new plans or ideas based on input information.

[0067] "Means of analysis" refer to technologies and devices used to analyze collected data and extract useful information.

[0068] An "activity plan" is a document or guideline that outlines the specific actions and procedures necessary to realize a particular project proposal.

[0069] In order to carry out the invention described herein, the user, server, and terminal will cooperate and use various technologies.

[0070] First, the user accesses the system using a terminal and logs in. The user then enters information about the business idea they want to create, as well as personal experience, skills, and interests. This information is processed by the system and stored as user profile information.

[0071] Next, based on this feature information, the server uses natural language processing technology to analyze the user's profile. Specifically, it uses Google's Natural Language API and general natural language processing libraries to understand the meaning of the input text and extract keywords. This profile includes data on skills and interests derived from the information provided by the user.

[0072] Subsequently, the server uses scanning techniques to collect market information from external data sources such as the internet. This market information is gathered using web scraping tools such as Beautiful Soup and Scrapy, and covers trends and competitive information specific to the industry.

[0073] Next, the server uses a generative AI model to generate business ideas based on the user's characteristics and collected market information. Here, a generative AI model such as OpenAI's GPT-3 (registered trademark) is used, and new business ideas are obtained by inputting a prompt message. An example of such a prompt message might be, "Please propose a new healthcare service utilizing AI technology."

[0074] The server sends the generated business proposals to the terminal and presents them to the user. The user selects the business proposals that interest them and evaluates their feasibility and market suitability. This evaluation is performed using evaluation methods such as SWOT analysis.

[0075] Finally, the server uses planning tools to create a concrete action plan based on the selected business proposal. This action plan includes the steps and resources necessary to execute the business, and users can receive this information through their terminals and use it to help with the execution.

[0076] This system allows users to quickly integrate individual characteristics and market trends, enabling them to efficiently develop new business plans and implementation strategies.

[0077] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0078] Step 1:

[0079] Users log in to their device and enter information about the business idea they want to create, including their experience, skills, and interests. This data is sent to the server. This data will form the basis for future feature information.

[0080] Step 2:

[0081] The server analyzes the received user information using natural language processing technology. Specifically, it uses Google's Natural Language API and other tools to tokenize the text data and extract keywords. As a result of this analysis, user characteristic information is generated. The user profile is then stored on the server as output.

[0082] Step 3:

[0083] The server uses scanning methods to collect market information. Specifically, it automatically retrieves information from articles and databases on the internet using web scraping tools. Based on the specified industry and region information as input, trend and competitor information is gathered. This results in the output of market information with growth potential.

[0084] Step 4:

[0085] The server uses a generative AI model to generate business proposals based on user characteristics and market information. OpenAI's GPT-3 is used as the generative AI model. A prompt message is sent to the generative AI model, such as "Please propose new healthcare services utilizing AI technology," and new business ideas are output.

[0086] Step 5:

[0087] The server sends the generated business proposals to the user's terminal and presents them to the user. The user selects the business ideas that interest them from the presented ideas. These selected ideas become the input for the next evaluation step. The output is determined based on the user's preferences.

[0088] Step 6:

[0089] The server evaluates the feasibility of the business plan selected by the user. This process uses methods such as SWOT analysis to quantitatively analyze strengths, weaknesses, opportunities, and threats, and outputs the results. This allows for a concrete understanding of the market suitability of the business plan.

[0090] Step 7:

[0091] Based on the evaluation results, the server develops a concrete action plan for realizing the business proposal. It clearly outlines the necessary steps and resources, creating actionable guidelines for the user. The generated action plan is provided to the user's terminal, serving as a guide for business success.

[0092] (Application Example 1)

[0093] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0094] In modern urban development, rapidly formulating new projects tailored to local characteristics is a complex and multifaceted challenge. In particular, developing concrete and feasible plans in a short period while adapting to dynamic market environments and diverse user needs is difficult. Furthermore, existing technologies lack the functionality to leverage individual skills and interests in conjunction with local information. Therefore, there is a growing need for a system that generates region-specific business ideas in real time and develops action plans accordingly.

[0095] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0096] In this invention, the server includes a profiling means that generates characteristics based on information provided by the user, a search means that identifies growth opportunities by collecting and analyzing information, and a location identification means that presents region-specific business ideas in real time based on location information. This enables the user to obtain region-appropriate business ideas in real time on the spot and quickly formulate an action plan based on them.

[0097] "Profiling methods" are technical means that generate individual characteristics based on information provided by the user and structure that characteristic information.

[0098] "Exploratory tools" are technical means for collecting and analyzing external information and market data to identify specific growth opportunities and trends.

[0099] "Generation methods" refer to technological means of creating new business ideas based on collected user characteristic information and market data.

[0100] "Verification methods" are technical means that evaluate the feasibility of generated business ideas and suggest potential areas for improvement that may arise during the process.

[0101] "Planning methods" refer to technical means for formulating in detail the specific steps and necessary resources for realizing a business idea.

[0102] "Location-based methods" refer to technological means that present region-specific business ideas in real time based on the user's location information.

[0103] The system implementing this invention is equipped with means for profiling the user's characteristics based on the information they input. The terminal sends user information to the server, which uses this information to generate user characteristics. In this process, natural language processing technology is used to analyze the user's interests in detail.

[0104] The server utilizes exploration tools to collect market data and regional characteristics from various external sources and identify growth opportunities. The collected data is filtered based on the user's current location using localization tools. To integrate this information in a consistent manner, the server uses Python and the Django framework.

[0105] Furthermore, a generation system operates on the server, generating new business ideas based on user characteristics and filtered market data. This process utilizes a generation AI model, enabling sophisticated data generation. For example, the Hugging Face model can be used to construct ideas that meet industry trends and region-specific needs.

[0106] The generated ideas are evaluated for their feasibility through validation methods. This evaluation utilizes techniques such as SWOT analysis to analyze the strengths, weaknesses, opportunities, and threats of the business idea. Through such detailed analysis, users can make informed and accurate decisions.

[0107] Ultimately, the planning process provides a concrete action plan for realizing the business idea. This action plan details the necessary resources and steps, enabling users to take concrete actions based on the plan.

[0108] For example, if a user is near a tourist destination, the server can generate and present specific business ideas in real time, such as "an AI-powered guided tour service for the increasing number of tourists." An example of a prompt to the generating AI model in this case would be, "If the user is currently in XX, what business idea would be best suited to the needs of that area?"

[0109] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0110] Step 1:

[0111] The user enters their information via a terminal. This information includes the user's experience, skills, and interests. The terminal sends this information to a server. The terminal communicates with the server to analyze the entered information.

[0112] Step 2:

[0113] Based on the user information received by the server, user characteristics are generated using profiling techniques. This process utilizes natural language processing technology to analyze user input data and extract specific keywords and themes. The input is the user's raw data, and the output is the analyzed user profile.

[0114] Step 3:

[0115] The server uses exploration tools to collect market data and location-based regional characteristics information from the internet and other data sources. The collected data is filtered using location-specific tools to be combined with the user's local information. The input is raw regional and market data, and the output is analytical data specific to the user's location.

[0116] Step 4:

[0117] The server uses a generation method to generate new business ideas based on user characteristics and filtered market data. A generation AI model is utilized here to create ideas that align with trends and needs. Inputs are profiles and analytical data, while output is concrete business ideas.

[0118] Step 5:

[0119] The server evaluates the feasibility of the generated business ideas using verification tools. Through SWOT analysis, it analyzes the strengths, weaknesses, opportunities, and threats of the ideas and provides feedback to the user. The input is the idea, and the output is the evaluation results and improvement suggestions.

[0120] Step 6:

[0121] The server, using its planning tools, develops a concrete action plan based on the evaluated business idea. This plan includes the necessary resources and steps. The input is the evaluated idea, and the output is the concrete action plan.

[0122] Step 7:

[0123] Users use their devices to view action plans received from the server and prepare to take concrete actions. Users can review business ideas and action plans presented in real time and make decisions accordingly.

[0124] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0125] This invention is a system that efficiently generates new business ideas and plans for their realization by utilizing user-provided information and emotional data. This system has a configuration that combines profiling means, scanning means, generation means, verification means, planning means, and an emotional engine.

[0126] Users access the system using a terminal, inputting business ideas and information about themselves, as well as providing emotional data. This emotional data is extracted from the user's voice, facial expressions, and text nuances, and analyzed by an emotional engine. The server receives and analyzes this data to generate a user profile. This profile reflects not only the user's skills and interests, but also their current emotional state.

[0127] Next, the server uses scanning devices to collect market data. The sentiment information recognized by the sentiment engine is also used at this stage to identify market trends and opportunities that match the user's sentiment.

[0128] The generation method generates multiple business ideas based on user profiles and market data. Here, user emotions are considered, and ideas that align with those emotions are presented preferentially. This process allows for more interesting proposals for users.

[0129] Once a user selects a business idea from the presented options, the server uses validation tools to comprehensively evaluate that idea. This evaluation includes sentiment data, and if the evaluation results are unfavorable to the user's sentiment, the server will focus on suggesting areas for improvement.

[0130] Finally, the planning method involves formulating a concrete action plan by considering the verification results and emotional data. This provides an implementation plan that is likely to sustain positive user emotions, thereby supporting smooth commercialization.

[0131] As a concrete example, suppose a user is interested in a new eco-friendly product and inputs an idea into the system. If the user is passionate about this idea, the emotion engine detects positive feedback. Based on this, the server analyzes market growth opportunities and prioritizes presenting eco-friendly product ideas that match the user's motivation. This allows the user to develop new ideas while respecting their own emotions.

[0132] The following describes the processing flow.

[0133] Step 1:

[0134] Users access a device and input information about their business ideas, experiences, skills, and interests, while simultaneously providing emotional data through facial expressions and voice via the camera and microphone. The device then transmits this data to a server.

[0135] Step 2:

[0136] The server analyzes the received user information and sentiment data to generate a user profile. The profile includes the user's skills, interests, and emotional state, and uses natural language processing techniques to extract important keywords.

[0137] Step 3:

[0138] The server activates scanning mechanisms to collect market data and trend information from the internet and other data sources. At this time, it identifies growth opportunities that match the user's interests and emotions, based on sentiment information.

[0139] Step 4:

[0140] The server uses generation methods to integrate user profiles and market data to generate multiple business ideas that take emotional information into account. The emotion engine prioritizes presenting ideas in which positive emotions are detected.

[0141] Step 5:

[0142] The user selects business ideas of interest from those presented on the device. The selected ideas are sent to the server and proceed to the next evaluation process.

[0143] Step 6:

[0144] The server evaluates the feasibility and market suitability of the selected business idea using verification methods. This evaluation process utilizes sentiment data and provides improvement suggestions specifically for elements that users have expressed concerns about.

[0145] Step 7:

[0146] The server uses planning tools to develop a concrete action plan to realize the validated business idea. This plan includes steps that take into account the user's positive emotions and are designed to increase user motivation.

[0147] Step 8:

[0148] The server sends the formulated action plan to the terminal. Based on this, the user can take action toward actual commercialization. User feedback is continuously collected, and the system optimizes its proposals through learning.

[0149] (Example 2)

[0150] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0151] Conventional business idea generation systems have difficulty adequately considering the user's emotional state and its changes, making it challenging to provide optimal suggestions for the user. Furthermore, when evaluating the feasibility of business ideas, they fail to provide feedback that reflects the user's emotions, making it difficult to maintain user motivation and interest.

[0152] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0153] In this invention, the server includes means for generating a profile based on information and emotional data provided by the user, means for collecting market data and identifying growth opportunities by analyzing it based on the user's emotions, and means for generating business ideas that take into account the user's emotional state based on the user profile and market data. This makes it possible to propose optimal business ideas that reflect the user's emotions and to formulate concrete plans for their realization.

[0154] A "user" refers to an individual or organization that accesses the system and provides business ideas or sentiment data.

[0155] "Emotional data" refers to data that indicates a user's emotional state, extracted from the user's voice, facial expressions, text nuances, and other similar information.

[0156] A "profile" refers to a collection of information about a user, including their skills, interests, and emotional state.

[0157] "Market data" refers to data collected from external sources regarding market trends, competitive information, business opportunities, and other related matters.

[0158] "Generation methods" refer to methods and techniques for creating business ideas based on user profiles and market data, while taking into account the emotional state of users.

[0159] "Verification methods" refer to methods and techniques for evaluating the feasibility of generated business ideas and suggesting improvements as needed.

[0160] "Planning methods" refer to methods and techniques for formulating concrete action plans toward realizing a business idea, and for supporting their execution while taking user emotions into consideration.

[0161] "Natural language processing technology" refers to a set of technologies that computers use to understand, interpret, and generate human natural language.

[0162] A "generative AI model" refers to a form of artificial intelligence that generates new information or suggestions based on input data.

[0163] The system of this invention begins with the user inputting their business ideas and emotional data using a terminal. The terminal collects emotional data through voice input, facial expression analysis using a camera, text input, etc. This is achieved using dedicated application software that can run on a general-purpose device.

[0164] The server receives information transmitted from the terminal and analyzes emotional data using an emotion engine. This emotion engine is equipped with a generative AI model and performs advanced analysis of emotional data extracted from the user's voice, facial expressions, and text. This creates a profile that comprehensively reflects the user's skills, interests, and emotional state.

[0165] The server further collects market data from external databases and APIs via scanning mechanisms. The resulting market trend and competitive information is then organized through a sentiment engine in a format that matches user sentiment. This process is best suited to a data center equipped with high-speed processors and large memory capacity.

[0166] For example, if a user becomes interested in a new eco-friendly product, inputs their idea into a terminal, and feels passion for it, the emotion engine detects positive emotions, and the server identifies growth opportunities for the eco-friendly product. This information is analyzed along with the generated user profile and presented to the user as the most suitable business idea.

[0167] The planning method involves developing concrete action plans by incorporating profiles, market data, and sentiment data. This plan supports the realization of business ideas while maintaining positive user sentiment. For example, by entering a prompt such as, "Analyze the user's sentiment when inputting ideas for new eco-friendly products into the system, and generate business ideas based on market trends that match the user's interests," the system can automatically propose a corresponding plan.

[0168] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0169] Step 1:

[0170] Users access the system using a terminal and input their business ideas and emotional data. This can be done via voice input, facial expression analysis using a camera, or text input. The input data is temporarily stored on the terminal and then sent to the server. The output of this step is raw data about the user's ideas and emotional state.

[0171] Step 2:

[0172] The server receives data from the terminal and inputs it into the emotion engine. The emotion engine uses a generative AI model to analyze emotional data from voice, facial expressions, and text. This data processing outputs a profile that reflects the user's emotional state, skills, and interests. Specific operations include analyzing voice waveforms and extracting feature points from facial expressions.

[0173] Step 3:

[0174] The server collects market data using scanning methods. In this process, data obtained from external databases and APIs is filtered based on sentiment information. The input market data includes trends and competitive information, which are used to analyze and identify growth opportunities. The output is a list of market opportunities that match the user's sentiment.

[0175] Step 4:

[0176] The server uses a generation mechanism to generate business ideas based on user profiles and market data. In this data calculation, a generation AI model considers the user's emotional state to create the most suitable idea. The output is a business idea that is appealing to the user. For example, if the user is relaxed, relaxation-related ideas might be presented.

[0177] Step 5:

[0178] The user selects one business idea from those presented via their terminal. This selection is sent to the server, which immediately initiates the validation process. Through the validation process, the idea is evaluated, including its feasibility and market potential. Sentimental data is also considered in this evaluation process to identify points that need improvement. The output is an evaluation report that includes the areas for improvement.

[0179] Step 6:

[0180] The server uses planning tools to combine verification results and sentiment data to formulate a concrete action plan. This calculation considers the steps and resource allocation necessary to sustain the user's emotions. The output is a plan organized in a user-friendly format, which facilitates the concretization of business ideas. Specifically, the prompt message "Analyze the user's emotions when inputting ideas for new eco-products into the system, and generate business ideas based on market trends that match the user's interests" is referenced, and an action plan is then formulated based on that.

[0181] (Application Example 2)

[0182] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0183] In today's home environment, efficiently providing personalized entertainment suggestions based on each user's preferences and emotions is a challenging task. In particular, there is a need to analyze emotional data and suggest the most suitable entertainment for each user.

[0184] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0185] In this invention, the server includes information processing means for generating a profile based on information provided by the user, information acquisition means for identifying growth opportunities by collecting and analyzing external data, and emotion analysis means for analyzing emotion data and generating optimal suggestions for the user. This makes it possible to generate personalized entertainment suggestions for each user within the home.

[0186] An "information processing means" is a mechanism that generates a profile summarizing an individual's characteristics and attributes based on information provided by the user.

[0187] "Information acquisition means" refers to the function of collecting data from external sources and using it to identify areas and opportunities with growth potential.

[0188] A "generation method" is a method for generating specific concepts or proposals based on collected data and profiles.

[0189] An "evaluation tool" is a system for examining the feasibility of a generated concept and identifying areas for improvement.

[0190] "Planning methods" refer to methods for formulating a plan to concretely implement a concept based on evaluation results.

[0191] "Emotional analysis means" refers to a function that analyzes emotional data to generate optimal suggestions tailored to the user's mood and needs.

[0192] In this invention, first, the terminal used by the user generates a profile from information provided by the user using information processing means. The profile includes the user's hobbies and interests. The terminal also acquires emotional data such as voice and facial expressions and analyzes it using emotion analysis means. The analyzed emotional data reflects the user's mood and preferences.

[0193] The server uses information acquisition methods to collect market data and trend information from external sources, and analyzes this data to identify growth opportunities relevant to the user. This process also incorporates sentiment data to provide more personalized information that is relevant to the user.

[0194] In the generation process, this data is used to construct entertainment suggestions tailored to the user. These suggestions include music, movies, and games, but particular emphasis is placed on emotional data, with the suggestions changing depending on the user's mental state.

[0195] For example, if a family wants to relax, the robot could suggest relaxation music accordingly. This optimizes in-home entertainment to suit the user's state of mind.

[0196] Finally, the proposed content generated using the generative AI model is analyzed for feasibility using evaluation tools and provided to the user via the device as an optimized entertainment plan.

[0197] An example of a prompt for a generative AI model would be: "Develop an algorithm to analyze family emotional data and suggest the best entertainment for them. In particular, focus on how to create a list of movies and music to recommend when they are feeling positive." Through this prompt, the system will automatically suggest the best entertainment for the user.

[0198] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0199] Step 1:

[0200] The user inputs information using a terminal. The terminal then uses information processing tools to generate a user profile based on the input information. This input information includes hobbies, interests, and emotional data. This data is processed to output a profile that captures the user's interests.

[0201] Step 2:

[0202] The device collects emotional data and analyzes it using emotion analysis tools. The input emotional data is obtained from sources such as voice and facial expressions. This data is analyzed and output as numerical data representing the user's current emotional state.

[0203] Step 3:

[0204] The server uses information acquisition methods to collect and analyze external data. The input external data includes market trend information. This data is analyzed to output information identifying growth opportunities relevant to the user.

[0205] Step 4:

[0206] The server uses a generation mechanism to generate suggestions based on user profiles, sentiment data, and external data. Inputs include user profiles, sentiment analysis results, and identified growth opportunity information. This data is integrated to construct and output entertainment suggestions tailored to the user.

[0207] Step 5:

[0208] The server uses evaluation tools to assess the feasibility of the generated proposal. The input is the generated proposal content. This content is evaluated from multiple perspectives, and information indicating areas for improvement is output.

[0209] Step 6:

[0210] The server uses planning tools to construct an optimized proposal into a concrete action plan. The input is the evaluation result. Based on this result, an actionable entertainment plan is formulated and output.

[0211] Step 7:

[0212] The device provides an entertainment plan optimized for the user. The input is the final suggested plan sent from the server. This is displayed on the user's device, allowing the user to experience the entertainment.

[0213] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0214] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0215] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0216] [Second Embodiment]

[0217] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0218] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0219] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0220] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0221] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0222] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0223] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0224] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0225] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0226] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0227] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0228] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0229] This invention is a system for efficiently generating and evaluating new business ideas using users, servers, and terminals, and for providing users with feasible action plans. The following specifically describes embodiments of this invention.

[0230] Users log in to the system using their devices and input information about their business idea, their experience, skills, and interests. The server receives this information and analyzes it using natural language processing technology. As a result of the analysis, a user profile is generated and stored on the server. The profile includes keywords and data generated based on past success stories.

[0231] Next, the server utilizes scanning methods to collect market data from the internet and other data sources. This includes market trends and competitive information in specific industries and regions. This collected data forms the basis for identifying growth opportunities.

[0232] Subsequently, the generation system runs on the server and generates business ideas optimized for the user based on the user's strengths and market data. Multiple ideas are created, and the server sends and presents them to the user's terminal.

[0233] Once a user selects an idea of ​​interest from the presented options, the server uses validation tools to evaluate its feasibility and market fit. This process utilizes SWOT analysis and other evaluation methods to analyze the idea's strengths, weaknesses, and market threats and opportunities.

[0234] Finally, the server uses planning tools to develop a concrete action plan based on the evaluated business idea. This action plan specifies the necessary resources and steps and is provided to the user's terminal. This allows the user to proceed with the business according to the plan.

[0235] For example, if a user is thinking of an idea for a new healthcare service based on AI technology, this system combines the user's AI skills with market trends in AI technology to generate a specific business idea such as "personalized health management service using AI." It then verifies how this idea would be received in the market and provides the user with a detailed plan for implementation. Thus, the present invention is a system that streamlines the process of planning and executing new businesses and provides valuable business ideas to users.

[0236] The following describes the processing flow.

[0237] Step 1:

[0238] Users log in to the system using their devices and enter information about their business ideas, experience, skills, and interests. The server receives this information and stores it in a database.

[0239] Step 2:

[0240] The server analyzes the received information using natural language processing techniques to extract important keywords and themes. Based on this analysis, it generates a user profile.

[0241] Step 3:

[0242] The server uses the generated user profile to activate scanning mechanisms to automatically collect market data from the internet and other data sources. This includes market trends and competitive information.

[0243] Step 4:

[0244] The server analyzes collected market data and identifies untapped markets with growth opportunities that leverage the user's strengths.

[0245] Step 5:

[0246] The server integrates user profiles and market analysis results, and uses generation methods to generate multiple feasible business ideas.

[0247] Step 6:

[0248] The user selects a business idea that interests them from those presented on their device. The selected idea is then sent to the server.

[0249] Step 7:

[0250] The server uses validation tools to comprehensively evaluate the feasibility and market suitability of the selected ideas. This evaluation employs methods such as SWOT analysis to identify strengths and areas for improvement.

[0251] Step 8:

[0252] Based on the evaluation results, the server uses planning tools to develop a concrete action plan. This plan includes specific steps and necessary resources.

[0253] Step 9:

[0254] The server transmits the formulated action plan to the terminal, providing it to the user in an actionable format. The user then proceeds with commercialization based on this plan.

[0255] (Example 1)

[0256] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0257] When generating new business ideas and creating concrete implementation plans, it is essential to efficiently combine user skills and interests with market trends. However, traditional methods require a significant amount of time for information gathering and analysis, making it difficult to generate optimal ideas and develop concrete plans. This creates obstacles to starting new businesses.

[0258] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0259] In this invention, the server includes means for generating characteristic information based on information provided by the user, means for identifying growth potential by collecting and analyzing market information, and means for generating business plans based on the characteristic information and market information. This enables the rapid integration of the user's individual characteristics and market conditions, making it possible to plan new businesses and formulate concrete implementation plans.

[0260] "Characteristic information" refers to information that reflects an individual's skills and interests, extracted from data provided by the user.

[0261] "Market information" refers to data on trends and competitor activities in a specific industry or region.

[0262] A "business plan" refers to a new business idea or concept generated based on user characteristic information and market information.

[0263] "Generative means" refers to processes or devices that create new plans or ideas based on input information.

[0264] "Means of analysis" refer to technologies and devices used to analyze collected data and extract useful information.

[0265] An "activity plan" is a document or guideline that outlines the specific actions and procedures necessary to realize a particular project proposal.

[0266] In order to carry out the invention described herein, the user, server, and terminal will cooperate and use various technologies.

[0267] First, the user accesses the system using a terminal and logs in. The user then enters information about the business idea they want to create, as well as personal experience, skills, and interests. This information is processed by the system and stored as user profile information.

[0268] Next, based on this feature information, the server uses natural language processing technology to analyze the user's profile. Specifically, it uses Google's Natural Language API and general natural language processing libraries to understand the meaning of the input text and extract keywords. This profile includes data on skills and interests derived from the information provided by the user.

[0269] Subsequently, the server uses scanning techniques to collect market information from external data sources such as the internet. This market information is gathered using web scraping tools such as Beautiful Soup and Scrapy, and covers trends and competitive information specific to the industry.

[0270] Next, the server uses a generative AI model to generate business ideas based on the user's characteristics and collected market information. Here, a generative AI model such as OpenAI's GPT-3 is used, and new business ideas are obtained by inputting a prompt message. An example of such a prompt message might be, "Please propose a new healthcare service utilizing AI technology."

[0271] The server sends the generated business proposals to the terminal and presents them to the user. The user selects the business proposals that interest them and evaluates their feasibility and market suitability. This evaluation is performed using evaluation methods such as SWOT analysis.

[0272] Finally, the server uses planning tools to create a concrete action plan based on the selected business proposal. This action plan includes the steps and resources necessary to execute the business, and users can receive this information through their terminals and use it to help with the execution.

[0273] This system allows users to quickly integrate individual characteristics and market trends, enabling them to efficiently develop new business plans and implementation strategies.

[0274] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0275] Step 1:

[0276] Users log in to their device and enter information about the business idea they want to create, including their experience, skills, and interests. This data is sent to the server. This data will form the basis for future feature information.

[0277] Step 2:

[0278] The server analyzes the received user information using natural language processing technology. Specifically, it uses Google's Natural Language API and other tools to tokenize the text data and extract keywords. As a result of this analysis, user characteristic information is generated. The user profile is then stored on the server as output.

[0279] Step 3:

[0280] The server uses scanning methods to collect market information. Specifically, it automatically retrieves information from articles and databases on the internet using web scraping tools. Based on the specified industry and region information as input, trend and competitor information is gathered. This results in the output of market information with growth potential.

[0281] Step 4:

[0282] The server uses a generative AI model to generate business proposals based on user characteristics and market information. OpenAI's GPT-3 is used as the generative AI model. A prompt message is sent to the generative AI model, such as "Please propose new healthcare services utilizing AI technology," and new business ideas are output.

[0283] Step 5:

[0284] The server sends the generated business plan to the user's terminal and presents it to the user. The user selects the ideas of interest from the presented business ideas. This selected idea becomes the input for the next evaluation step. As an output, an idea based on the user's preference is determined.

[0285] Step 6:

[0286] The server evaluates the feasibility of the business plan selected by the user. In this process, methods such as SWOT analysis are used to quantitatively analyze strengths, weaknesses, opportunities, and threats, and the results are output. Thereby, the market suitability of the business plan is specifically grasped.

[0287] Step 7:

[0288] Based on the evaluation results, the server formulates a specific activity plan for the realization of the business plan. It specifies the necessary steps and resources, and forms executable guidelines for the user. The output activity plan is provided to the user's terminal and serves as a guideline for business success.

[0289] (Application Example 1) [[ID=Z2]]

[0290] Next, Application Example 1 will be described. In the following description, the data processing device 12 is referred to as the "server", and the smart glasses 214 are referred to as the "terminal".

[0291] [[ID=Z8]]In modern urban development, quickly formulating new businesses according to the characteristics of the region is a complex and multifaceted issue. In particular, it is difficult to formulate a specific and feasible plan in a short period while adapting to a dynamic market environment and diverse user needs. Also, existing technologies lack the function of utilizing personal skills and interests in association with regional information. For this reason, the need for a mechanism to generate region-specific business ideas in real time and formulate an action plan accordingly is increasing.

[0292] The specific processing by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0293] In this invention, the server includes a profiling means that generates characteristics based on information provided by the user, a search means that identifies growth opportunities by collecting and analyzing information, and a location identification means that presents region-specific business ideas in real time based on location information. This enables the user to obtain region-appropriate business ideas in real time on the spot and quickly formulate an action plan based on them.

[0294] "Profiling methods" are technical means that generate individual characteristics based on information provided by the user and structure that characteristic information.

[0295] "Exploratory tools" are technical means for collecting and analyzing external information and market data to identify specific growth opportunities and trends.

[0296] "Generation methods" refer to technological means of creating new business ideas based on collected user characteristic information and market data.

[0297] "Verification methods" are technical means that evaluate the feasibility of generated business ideas and suggest potential areas for improvement that may arise during the process.

[0298] "Planning methods" refer to technical means for formulating in detail the specific steps and necessary resources for realizing a business idea.

[0299] "Location-based methods" refer to technological means that present region-specific business ideas in real time based on the user's location information.

[0300] The system implementing this invention is equipped with means for profiling the user's characteristics based on the information they input. The terminal sends user information to the server, which uses this information to generate user characteristics. In this process, natural language processing technology is used to analyze the user's interests in detail.

[0301] The server utilizes exploration tools to collect market data and regional characteristics from various external sources and identify growth opportunities. The collected data is filtered based on the user's current location using localization tools. To integrate this information in a consistent manner, the server uses Python and the Django framework.

[0302] Furthermore, a generation system operates on the server, generating new business ideas based on user characteristics and filtered market data. This process utilizes a generation AI model, enabling sophisticated data generation. For example, the Hugging Face model can be used to construct ideas that meet industry trends and region-specific needs.

[0303] The generated ideas are evaluated for their feasibility through validation methods. This evaluation utilizes techniques such as SWOT analysis to analyze the strengths, weaknesses, opportunities, and threats of the business idea. Through such detailed analysis, users can make informed and accurate decisions.

[0304] Ultimately, the planning process provides a concrete action plan for realizing the business idea. This action plan details the necessary resources and steps, enabling users to take concrete actions based on the plan.

[0305] For example, if a user is near a tourist destination, the server can generate and present specific business ideas in real time, such as "an AI-powered guided tour service for the increasing number of tourists." An example of a prompt to the generating AI model in this case would be, "If the user is currently in XX, what business idea would be best suited to the needs of that area?"

[0306] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0307] Step 1:

[0308] The user inputs their own information via the terminal. The input information includes the user's experience, skills, interests, etc. The terminal sends this information to the server. The terminal communicates with the server to analyze the input information.

[0309] Step 2:

[0310] Based on the user information received by the server, user characteristics are generated using profiling means. In this process, natural language processing technology is utilized to analyze the user's input data and extract specific keywords and themes. The input is the user's raw data, and the output is the analyzed user profile.

[0311] Step 3:

[0312] The server uses search means to collect regional characteristic information based on market data and location information from the Internet and other data sources. The collected data is filtered by location identification means to combine with the user's local information. The input is the raw data of the region and the market, and the output is the analysis data specialized for the user's location.

[0313] Step 4:

[0314] The server uses generation means to generate new business ideas based on user characteristics and filtered market data. Here, a generation AI model is utilized to create ideas according to trends and needs. The input is the profile and analysis data, and the output is specific business ideas.

[0315] Step 5:

[0316] The server evaluates the feasibility of the generated business ideas using verification means. Through SWOT analysis, the strengths, weaknesses, opportunities, and threats of the ideas are analyzed, and feedback is provided to the user. The input is the idea, and the output is the evaluation result and improvement suggestions.

[0317] Step 6:

[0318] The server, using its planning tools, develops a concrete action plan based on the evaluated business idea. This plan includes the necessary resources and steps. The input is the evaluated idea, and the output is the concrete action plan.

[0319] Step 7:

[0320] Users use their devices to view action plans received from the server and prepare to take concrete actions. Users can review business ideas and action plans presented in real time and make decisions accordingly.

[0321] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0322] This invention is a system that efficiently generates new business ideas and plans for their realization by utilizing user-provided information and emotional data. This system has a configuration that combines profiling means, scanning means, generation means, verification means, planning means, and an emotional engine.

[0323] Users access the system using a terminal, inputting business ideas and information about themselves, as well as providing emotional data. This emotional data is extracted from the user's voice, facial expressions, and text nuances, and analyzed by an emotional engine. The server receives and analyzes this data to generate a user profile. This profile reflects not only the user's skills and interests, but also their current emotional state.

[0324] Next, the server uses scanning devices to collect market data. The sentiment information recognized by the sentiment engine is also used at this stage to identify market trends and opportunities that match the user's sentiment.

[0325] The generation method generates multiple business ideas based on user profiles and market data. Here, user emotions are considered, and ideas that align with those emotions are presented preferentially. This process allows for more interesting proposals for users.

[0326] Once a user selects a business idea from the presented options, the server uses validation tools to comprehensively evaluate that idea. This evaluation includes sentiment data, and if the evaluation results are unfavorable to the user's sentiment, the server will focus on suggesting areas for improvement.

[0327] Finally, the planning method involves formulating a concrete action plan by considering the verification results and emotional data. This provides an implementation plan that is likely to sustain positive user emotions, thereby supporting smooth commercialization.

[0328] As a concrete example, suppose a user is interested in a new eco-friendly product and inputs an idea into the system. If the user is passionate about this idea, the emotion engine detects positive feedback. Based on this, the server analyzes market growth opportunities and prioritizes presenting eco-friendly product ideas that match the user's motivation. This allows the user to develop new ideas while respecting their own emotions.

[0329] The following describes the processing flow.

[0330] Step 1:

[0331] Users access a device and input information about their business ideas, experiences, skills, and interests, while simultaneously providing emotional data through facial expressions and voice via the camera and microphone. The device then transmits this data to a server.

[0332] Step 2:

[0333] The server analyzes the received user information and sentiment data to generate a user profile. The profile includes the user's skills, interests, and emotional state, and uses natural language processing techniques to extract important keywords.

[0334] Step 3:

[0335] The server activates scanning mechanisms to collect market data and trend information from the internet and other data sources. At this time, it identifies growth opportunities that match the user's interests and emotions, based on sentiment information.

[0336] Step 4:

[0337] The server uses generation methods to integrate user profiles and market data to generate multiple business ideas that take emotional information into account. The emotion engine prioritizes presenting ideas in which positive emotions are detected.

[0338] Step 5:

[0339] The user selects business ideas of interest from those presented on the device. The selected ideas are sent to the server and proceed to the next evaluation process.

[0340] Step 6:

[0341] The server evaluates the feasibility and market suitability of the selected business idea using verification methods. This evaluation process utilizes sentiment data and provides improvement suggestions specifically for elements that users have expressed concerns about.

[0342] Step 7:

[0343] The server uses planning tools to develop a concrete action plan to realize the validated business idea. This plan includes steps that take into account the user's positive emotions and are designed to increase user motivation.

[0344] Step 8:

[0345] The server sends the formulated action plan to the terminal. Based on this, the user can take action toward actual commercialization. User feedback is continuously collected, and the system optimizes its proposals through learning.

[0346] (Example 2)

[0347] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0348] Conventional business idea generation systems have difficulty adequately considering the user's emotional state and its changes, making it challenging to provide optimal suggestions for the user. Furthermore, when evaluating the feasibility of business ideas, they fail to provide feedback that reflects the user's emotions, making it difficult to maintain user motivation and interest.

[0349] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0350] In this invention, the server includes means for generating a profile based on information and emotional data provided by the user, means for collecting market data and identifying growth opportunities by analyzing it based on the user's emotions, and means for generating business ideas that take into account the user's emotional state based on the user profile and market data. This makes it possible to propose optimal business ideas that reflect the user's emotions and to formulate concrete plans for their realization.

[0351] A "user" refers to an individual or organization that accesses the system and provides business ideas or sentiment data.

[0352] "Emotional data" refers to data that indicates a user's emotional state, extracted from the user's voice, facial expressions, text nuances, and other similar information.

[0353] A "profile" refers to a collection of information about a user, including their skills, interests, and emotional state.

[0354] "Market data" refers to data collected from external sources regarding market trends, competitive information, business opportunities, and other related matters.

[0355] "Generation methods" refer to methods and techniques for creating business ideas based on user profiles and market data, while taking into account the emotional state of users.

[0356] "Verification methods" refer to methods and techniques for evaluating the feasibility of generated business ideas and suggesting improvements as needed.

[0357] "Planning methods" refer to methods and techniques for formulating concrete action plans toward realizing a business idea, and for supporting their execution while taking user emotions into consideration.

[0358] "Natural language processing technology" refers to a set of technologies that computers use to understand, interpret, and generate human natural language.

[0359] A "generative AI model" refers to a form of artificial intelligence that generates new information or suggestions based on input data.

[0360] The system of this invention begins with the user inputting their business ideas and emotional data using a terminal. The terminal collects emotional data through voice input, facial expression analysis using a camera, text input, etc. This is achieved using dedicated application software that can run on a general-purpose device.

[0361] The server receives information transmitted from the terminal and analyzes emotional data using an emotion engine. This emotion engine is equipped with a generative AI model and performs advanced analysis of emotional data extracted from the user's voice, facial expressions, and text. This creates a profile that comprehensively reflects the user's skills, interests, and emotional state.

[0362] The server further collects market data from external databases and APIs via scanning mechanisms. The resulting market trend and competitive information is then organized through a sentiment engine in a format that matches user sentiment. This process is best suited to a data center equipped with high-speed processors and large memory capacity.

[0363] For example, if a user becomes interested in a new eco-friendly product, inputs their idea into a terminal, and feels passion for it, the emotion engine detects positive emotions, and the server identifies growth opportunities for the eco-friendly product. This information is analyzed along with the generated user profile and presented to the user as the most suitable business idea.

[0364] The planning method involves developing concrete action plans by incorporating profiles, market data, and sentiment data. This plan supports the realization of business ideas while maintaining positive user sentiment. For example, by entering a prompt such as, "Analyze the user's sentiment when inputting ideas for new eco-friendly products into the system, and generate business ideas based on market trends that match the user's interests," the system can automatically propose a corresponding plan.

[0365] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0366] Step 1:

[0367] Users access the system using a terminal and input their business ideas and emotional data. This can be done via voice input, facial expression analysis using a camera, or text input. The input data is temporarily stored on the terminal and then sent to the server. The output of this step is raw data about the user's ideas and emotional state.

[0368] Step 2:

[0369] The server receives data from the terminal and inputs it into the emotion engine. The emotion engine uses a generative AI model to analyze emotional data from voice, facial expressions, and text. This data processing outputs a profile that reflects the user's emotional state, skills, and interests. Specific operations include analyzing voice waveforms and extracting feature points from facial expressions.

[0370] Step 3:

[0371] The server collects market data using scanning methods. In this process, data obtained from external databases and APIs is filtered based on sentiment information. The input market data includes trends and competitive information, which are used to analyze and identify growth opportunities. The output is a list of market opportunities that match the user's sentiment.

[0372] Step 4:

[0373] The server uses a generation mechanism to generate business ideas based on user profiles and market data. In this data calculation, a generation AI model considers the user's emotional state to create the most suitable idea. The output is a business idea that is appealing to the user. For example, if the user is relaxed, relaxation-related ideas might be presented.

[0374] Step 5:

[0375] The user selects one business idea from those presented via their terminal. This selection is sent to the server, which immediately initiates the validation process. Through the validation process, the idea is evaluated, including its feasibility and market potential. Sentimental data is also considered in this evaluation process to identify points that need improvement. The output is an evaluation report that includes the areas for improvement.

[0376] Step 6:

[0377] The server uses planning tools to combine verification results and sentiment data to formulate a concrete action plan. This calculation considers the steps and resource allocation necessary to sustain the user's emotions. The output is a plan organized in a user-friendly format, which facilitates the concretization of business ideas. Specifically, the prompt message "Analyze the user's emotions when inputting ideas for new eco-products into the system, and generate business ideas based on market trends that match the user's interests" is referenced, and an action plan is then formulated based on that.

[0378] (Application Example 2)

[0379] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0380] In today's home environment, efficiently providing personalized entertainment suggestions based on each user's preferences and emotions is a challenging task. In particular, there is a need to analyze emotional data and suggest the most suitable entertainment for each user.

[0381] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0382] In this invention, the server includes information processing means for generating a profile based on information provided by the user, information acquisition means for identifying growth opportunities by collecting and analyzing external data, and emotion analysis means for analyzing emotion data and generating optimal suggestions for the user. This makes it possible to generate personalized entertainment suggestions for each user within the home.

[0383] An "information processing means" is a mechanism that generates a profile summarizing an individual's characteristics and attributes based on information provided by the user.

[0384] "Information acquisition means" refers to the function of collecting data from external sources and using it to identify areas and opportunities with growth potential.

[0385] A "generation method" is a method for generating specific concepts or proposals based on collected data and profiles.

[0386] An "evaluation tool" is a system for examining the feasibility of a generated concept and identifying areas for improvement.

[0387] "Planning methods" refer to methods for formulating a plan to concretely implement a concept based on evaluation results.

[0388] "Emotional analysis means" refers to a function that analyzes emotional data to generate optimal suggestions tailored to the user's mood and needs.

[0389] In this invention, first, the terminal used by the user generates a profile from information provided by the user using information processing means. The profile includes the user's hobbies and interests. The terminal also acquires emotional data such as voice and facial expressions and analyzes it using emotion analysis means. The analyzed emotional data reflects the user's mood and preferences.

[0390] The server uses information acquisition methods to collect market data and trend information from external sources, and analyzes this data to identify growth opportunities relevant to the user. This process also incorporates sentiment data to provide more personalized information that is relevant to the user.

[0391] In the generation process, this data is used to construct entertainment suggestions tailored to the user. These suggestions include music, movies, and games, but particular emphasis is placed on emotional data, with the suggestions changing depending on the user's mental state.

[0392] For example, if a family wants to relax, the robot could suggest relaxation music accordingly. This optimizes in-home entertainment to suit the user's state of mind.

[0393] Finally, the proposed content generated using the generative AI model is analyzed for feasibility using evaluation tools and provided to the user via the device as an optimized entertainment plan.

[0394] An example of a prompt for a generative AI model would be: "Develop an algorithm to analyze family emotional data and suggest the best entertainment for them. In particular, focus on how to create a list of movies and music to recommend when they are feeling positive." Through this prompt, the system will automatically suggest the best entertainment for the user.

[0395] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0396] Step 1:

[0397] The user inputs information using a terminal. The terminal then uses information processing tools to generate a user profile based on the input information. This input information includes hobbies, interests, and emotional data. This data is processed to output a profile that captures the user's interests.

[0398] Step 2:

[0399] The device collects emotional data and analyzes it using emotion analysis tools. The input emotional data is obtained from sources such as voice and facial expressions. This data is analyzed and output as numerical data representing the user's current emotional state.

[0400] Step 3:

[0401] The server uses information acquisition methods to collect and analyze external data. The input external data includes market trend information. This data is analyzed to output information identifying growth opportunities relevant to the user.

[0402] Step 4:

[0403] The server uses a generation mechanism to generate suggestions based on user profiles, sentiment data, and external data. Inputs include user profiles, sentiment analysis results, and identified growth opportunity information. This data is integrated to construct and output entertainment suggestions tailored to the user.

[0404] Step 5:

[0405] The server uses evaluation tools to assess the feasibility of the generated proposal. The input is the generated proposal content. This content is evaluated from multiple perspectives, and information indicating areas for improvement is output.

[0406] Step 6:

[0407] The server uses planning tools to construct an optimized proposal into a concrete action plan. The input is the evaluation result. Based on this result, an actionable entertainment plan is formulated and output.

[0408] Step 7:

[0409] The device provides an entertainment plan optimized for the user. The input is the final suggested plan sent from the server. This is displayed on the user's device, allowing the user to experience the entertainment.

[0410] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0411] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0412] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0413] [Third Embodiment]

[0414] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0415] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0416] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0417] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0418] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0419] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0420] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0421] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0422] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0423] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0424] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0425] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0426] This invention is a system for efficiently generating and evaluating new business ideas using users, servers, and terminals, and for providing users with feasible action plans. The following specifically describes embodiments of this invention.

[0427] Users log in to the system using their devices and input information about their business idea, their experience, skills, and interests. The server receives this information and analyzes it using natural language processing technology. As a result of the analysis, a user profile is generated and stored on the server. The profile includes keywords and data generated based on past success stories.

[0428] Next, the server utilizes scanning methods to collect market data from the internet and other data sources. This includes market trends and competitive information in specific industries and regions. This collected data forms the basis for identifying growth opportunities.

[0429] Subsequently, the generation system runs on the server and generates business ideas optimized for the user based on the user's strengths and market data. Multiple ideas are created, and the server sends and presents them to the user's terminal.

[0430] Once a user selects an idea of ​​interest from the presented options, the server uses validation tools to evaluate its feasibility and market fit. This process utilizes SWOT analysis and other evaluation methods to analyze the idea's strengths, weaknesses, and market threats and opportunities.

[0431] Finally, the server uses planning tools to develop a concrete action plan based on the evaluated business idea. This action plan specifies the necessary resources and steps and is provided to the user's terminal. This allows the user to proceed with the business according to the plan.

[0432] For example, if a user is thinking of an idea for a new healthcare service based on AI technology, this system combines the user's AI skills with market trends in AI technology to generate a specific business idea such as "personalized health management service using AI." It then verifies how this idea would be received in the market and provides the user with a detailed plan for implementation. Thus, the present invention is a system that streamlines the process of planning and executing new businesses and provides valuable business ideas to users.

[0433] The following describes the processing flow.

[0434] Step 1:

[0435] Users log in to the system using their devices and enter information about their business ideas, experience, skills, and interests. The server receives this information and stores it in a database.

[0436] Step 2:

[0437] The server analyzes the received information using natural language processing techniques to extract important keywords and themes. Based on this analysis, it generates a user profile.

[0438] Step 3:

[0439] The server uses the generated user profile to activate scanning mechanisms to automatically collect market data from the internet and other data sources. This includes market trends and competitive information.

[0440] Step 4:

[0441] The server analyzes collected market data and identifies untapped markets with growth opportunities that leverage the user's strengths.

[0442] Step 5:

[0443] The server integrates user profiles and market analysis results, and uses generation methods to generate multiple feasible business ideas.

[0444] Step 6:

[0445] The user selects a business idea that interests them from those presented on their device. The selected idea is then sent to the server.

[0446] Step 7:

[0447] The server uses validation tools to comprehensively evaluate the feasibility and market suitability of the selected ideas. This evaluation employs methods such as SWOT analysis to identify strengths and areas for improvement.

[0448] Step 8:

[0449] Based on the evaluation results, the server uses planning tools to develop a concrete action plan. This plan includes specific steps and necessary resources.

[0450] Step 9:

[0451] The server transmits the formulated action plan to the terminal, providing it to the user in an actionable format. The user then proceeds with commercialization based on this plan.

[0452] (Example 1)

[0453] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0454] When generating new business ideas and creating concrete implementation plans, it is essential to efficiently combine user skills and interests with market trends. However, traditional methods require a significant amount of time for information gathering and analysis, making it difficult to generate optimal ideas and develop concrete plans. This creates obstacles to starting new businesses.

[0455] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0456] In this invention, the server includes means for generating characteristic information based on information provided by the user, means for identifying growth potential by collecting and analyzing market information, and means for generating business plans based on the characteristic information and market information. This enables the rapid integration of the user's individual characteristics and market conditions, making it possible to plan new businesses and formulate concrete implementation plans.

[0457] "Characteristic information" refers to information that reflects an individual's skills and interests, extracted from data provided by the user.

[0458] "Market information" refers to data on trends and competitor activities in a specific industry or region.

[0459] A "business plan" refers to a new business idea or concept generated based on user characteristic information and market information.

[0460] "Generative means" refers to processes or devices that create new plans or ideas based on input information.

[0461] "Means of analysis" refer to technologies and devices used to analyze collected data and extract useful information.

[0462] An "activity plan" is a document or guideline that outlines the specific actions and procedures necessary to realize a particular project proposal.

[0463] In order to carry out the invention described herein, the user, server, and terminal will cooperate and use various technologies.

[0464] First, the user accesses the system using a terminal and logs in. The user then enters information about the business idea they want to create, as well as personal experience, skills, and interests. This information is processed by the system and stored as user profile information.

[0465] Next, based on this feature information, the server uses natural language processing technology to analyze the user's profile. Specifically, it uses Google's Natural Language API and general natural language processing libraries to understand the meaning of the input text and extract keywords. This profile includes data on skills and interests derived from the information provided by the user.

[0466] Subsequently, the server uses scanning techniques to collect market information from external data sources such as the internet. This market information is gathered using web scraping tools such as Beautiful Soup and Scrapy, and covers trends and competitive information specific to the industry.

[0467] Next, the server uses a generative AI model to generate business ideas based on the user's characteristics and collected market information. Here, a generative AI model such as OpenAI's GPT-3 is used, and new business ideas are obtained by inputting a prompt message. An example of such a prompt message might be, "Please propose a new healthcare service utilizing AI technology."

[0468] The server sends the generated business proposals to the terminal and presents them to the user. The user selects the business proposals that interest them and evaluates their feasibility and market suitability. This evaluation is performed using evaluation methods such as SWOT analysis.

[0469] Finally, the server uses planning tools to create a concrete action plan based on the selected business proposal. This action plan includes the steps and resources necessary to execute the business, and users can receive this information through their terminals and use it to help with the execution.

[0470] This system allows users to quickly integrate individual characteristics and market trends, enabling them to efficiently develop new business plans and implementation strategies.

[0471] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0472] Step 1:

[0473] Users log in to their device and enter information about the business idea they want to create, including their experience, skills, and interests. This data is sent to the server. This data will form the basis for future feature information.

[0474] Step 2:

[0475] The server analyzes the received user information using natural language processing technology. Specifically, it uses Google's Natural Language API and other tools to tokenize the text data and extract keywords. As a result of this analysis, user characteristic information is generated. The user profile is then stored on the server as output.

[0476] Step 3:

[0477] The server uses scanning methods to collect market information. Specifically, it automatically retrieves information from articles and databases on the internet using web scraping tools. Based on the specified industry and region information as input, trend and competitor information is gathered. This results in the output of market information with growth potential.

[0478] Step 4:

[0479] The server uses a generative AI model to generate business proposals based on user characteristics and market information. OpenAI's GPT-3 is used as the generative AI model. A prompt message is sent to the generative AI model, such as "Please propose new healthcare services utilizing AI technology," and new business ideas are output.

[0480] Step 5:

[0481] The server sends the generated business proposals to the user's terminal and presents them to the user. The user selects the business ideas that interest them from the presented ideas. These selected ideas become the input for the next evaluation step. The output is determined based on the user's preferences.

[0482] Step 6:

[0483] The server evaluates the feasibility of the business plan selected by the user. This process uses methods such as SWOT analysis to quantitatively analyze strengths, weaknesses, opportunities, and threats, and outputs the results. This allows for a concrete understanding of the market suitability of the business plan.

[0484] Step 7:

[0485] Based on the evaluation results, the server develops a concrete action plan for realizing the business proposal. It clearly outlines the necessary steps and resources, creating actionable guidelines for the user. The generated action plan is provided to the user's terminal, serving as a guide for business success.

[0486] (Application Example 1)

[0487] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0488] In modern urban development, rapidly formulating new projects tailored to local characteristics is a complex and multifaceted challenge. In particular, developing concrete and feasible plans in a short period while adapting to dynamic market environments and diverse user needs is difficult. Furthermore, existing technologies lack the functionality to leverage individual skills and interests in conjunction with local information. Therefore, there is a growing need for a system that generates region-specific business ideas in real time and develops action plans accordingly.

[0489] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0490] In this invention, the server includes a profiling means that generates characteristics based on information provided by the user, a search means that identifies growth opportunities by collecting and analyzing information, and a location identification means that presents region-specific business ideas in real time based on location information. This enables the user to obtain region-appropriate business ideas in real time on the spot and quickly formulate an action plan based on them.

[0491] "Profiling methods" are technical means that generate individual characteristics based on information provided by the user and structure that characteristic information.

[0492] "Exploratory tools" are technical means for collecting and analyzing external information and market data to identify specific growth opportunities and trends.

[0493] "Generation methods" refer to technological means of creating new business ideas based on collected user characteristic information and market data.

[0494] "Verification methods" are technical means that evaluate the feasibility of generated business ideas and suggest potential areas for improvement that may arise during the process.

[0495] "Planning methods" refer to technical means for formulating in detail the specific steps and necessary resources for realizing a business idea.

[0496] "Location-based methods" refer to technological means that present region-specific business ideas in real time based on the user's location information.

[0497] The system implementing this invention is equipped with means for profiling the user's characteristics based on the information they input. The terminal sends user information to the server, which uses this information to generate user characteristics. In this process, natural language processing technology is used to analyze the user's interests in detail.

[0498] The server utilizes exploration tools to collect market data and regional characteristics from various external sources and identify growth opportunities. The collected data is filtered based on the user's current location using localization tools. To integrate this information in a consistent manner, the server uses Python and the Django framework.

[0499] Furthermore, a generation system operates on the server, generating new business ideas based on user characteristics and filtered market data. This process utilizes a generation AI model, enabling sophisticated data generation. For example, the Hugging Face model can be used to construct ideas that meet industry trends and region-specific needs.

[0500] The generated ideas are evaluated for their feasibility through validation methods. This evaluation utilizes techniques such as SWOT analysis to analyze the strengths, weaknesses, opportunities, and threats of the business idea. Through such detailed analysis, users can make informed and accurate decisions.

[0501] Ultimately, the planning process provides a concrete action plan for realizing the business idea. This action plan details the necessary resources and steps, enabling users to take concrete actions based on the plan.

[0502] For example, if a user is near a tourist destination, the server can generate and present specific business ideas in real time, such as "an AI-powered guided tour service for the increasing number of tourists." An example of a prompt to the generating AI model in this case would be, "If the user is currently in XX, what business idea would be best suited to the needs of that area?"

[0503] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0504] Step 1:

[0505] The user enters their information via a terminal. This information includes the user's experience, skills, and interests. The terminal sends this information to a server. The terminal communicates with the server to analyze the entered information.

[0506] Step 2:

[0507] Based on the user information received by the server, user characteristics are generated using profiling techniques. This process utilizes natural language processing technology to analyze user input data and extract specific keywords and themes. The input is the user's raw data, and the output is the analyzed user profile.

[0508] Step 3:

[0509] The server uses exploration tools to collect market data and location-based regional characteristics information from the internet and other data sources. The collected data is filtered using location-specific tools to be combined with the user's local information. The input is raw regional and market data, and the output is analytical data specific to the user's location.

[0510] Step 4:

[0511] The server uses a generation method to generate new business ideas based on user characteristics and filtered market data. A generation AI model is utilized here to create ideas that align with trends and needs. Inputs are profiles and analytical data, while output is concrete business ideas.

[0512] Step 5:

[0513] The server evaluates the feasibility of the generated business ideas using verification tools. Through SWOT analysis, it analyzes the strengths, weaknesses, opportunities, and threats of the ideas and provides feedback to the user. The input is the idea, and the output is the evaluation results and improvement suggestions.

[0514] Step 6:

[0515] The server, using its planning tools, develops a concrete action plan based on the evaluated business idea. This plan includes the necessary resources and steps. The input is the evaluated idea, and the output is the concrete action plan.

[0516] Step 7:

[0517] Users use their devices to view action plans received from the server and prepare to take concrete actions. Users can review business ideas and action plans presented in real time and make decisions accordingly.

[0518] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0519] This invention is a system that efficiently generates new business ideas and plans for their realization by utilizing user-provided information and emotional data. This system has a configuration that combines profiling means, scanning means, generation means, verification means, planning means, and an emotional engine.

[0520] Users access the system using a terminal, inputting business ideas and information about themselves, as well as providing emotional data. This emotional data is extracted from the user's voice, facial expressions, and text nuances, and analyzed by an emotional engine. The server receives and analyzes this data to generate a user profile. This profile reflects not only the user's skills and interests, but also their current emotional state.

[0521] Next, the server uses scanning devices to collect market data. The sentiment information recognized by the sentiment engine is also used at this stage to identify market trends and opportunities that match the user's sentiment.

[0522] The generation method generates multiple business ideas based on user profiles and market data. Here, user emotions are considered, and ideas that align with those emotions are presented preferentially. This process allows for more interesting proposals for users.

[0523] Once a user selects a business idea from the presented options, the server uses validation tools to comprehensively evaluate that idea. This evaluation includes sentiment data, and if the evaluation results are unfavorable to the user's sentiment, the server will focus on suggesting areas for improvement.

[0524] Finally, the planning method involves formulating a concrete action plan by considering the verification results and emotional data. This provides an implementation plan that is likely to sustain positive user emotions, thereby supporting smooth commercialization.

[0525] As a concrete example, suppose a user is interested in a new eco-friendly product and inputs an idea into the system. If the user is passionate about this idea, the emotion engine detects positive feedback. Based on this, the server analyzes market growth opportunities and prioritizes presenting eco-friendly product ideas that match the user's motivation. This allows the user to develop new ideas while respecting their own emotions.

[0526] The following describes the processing flow.

[0527] Step 1:

[0528] Users access a device and input information about their business ideas, experiences, skills, and interests, while simultaneously providing emotional data through facial expressions and voice via the camera and microphone. The device then transmits this data to a server.

[0529] Step 2:

[0530] The server analyzes the received user information and sentiment data to generate a user profile. The profile includes the user's skills, interests, and emotional state, and uses natural language processing techniques to extract important keywords.

[0531] Step 3:

[0532] The server activates scanning mechanisms to collect market data and trend information from the internet and other data sources. At this time, it identifies growth opportunities that match the user's interests and emotions, based on sentiment information.

[0533] Step 4:

[0534] The server uses generation methods to integrate user profiles and market data to generate multiple business ideas that take emotional information into account. The emotion engine prioritizes presenting ideas in which positive emotions are detected.

[0535] Step 5:

[0536] The user selects business ideas of interest from those presented on the device. The selected ideas are sent to the server and proceed to the next evaluation process.

[0537] Step 6:

[0538] The server evaluates the feasibility and market suitability of the selected business idea using verification methods. This evaluation process utilizes sentiment data and provides improvement suggestions specifically for elements that users have expressed concerns about.

[0539] Step 7:

[0540] The server uses planning tools to develop a concrete action plan to realize the validated business idea. This plan includes steps that take into account the user's positive emotions and are designed to increase user motivation.

[0541] Step 8:

[0542] The server sends the formulated action plan to the terminal. Based on this, the user can take action toward actual commercialization. User feedback is continuously collected, and the system optimizes its proposals through learning.

[0543] (Example 2)

[0544] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0545] Conventional business idea generation systems have difficulty adequately considering the user's emotional state and its changes, making it challenging to provide optimal suggestions for the user. Furthermore, when evaluating the feasibility of business ideas, they fail to provide feedback that reflects the user's emotions, making it difficult to maintain user motivation and interest.

[0546] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0547] In this invention, the server includes means for generating a profile based on information and emotional data provided by the user, means for collecting market data and identifying growth opportunities by analyzing it based on the user's emotions, and means for generating business ideas that take into account the user's emotional state based on the user profile and market data. This makes it possible to propose optimal business ideas that reflect the user's emotions and to formulate concrete plans for their realization.

[0548] A "user" refers to an individual or organization that accesses the system and provides business ideas or sentiment data.

[0549] "Emotional data" refers to data that indicates a user's emotional state, extracted from the user's voice, facial expressions, text nuances, and other similar information.

[0550] A "profile" refers to a collection of information about a user, including their skills, interests, and emotional state.

[0551] "Market data" refers to data collected from external sources regarding market trends, competitive information, business opportunities, and other related matters.

[0552] "Generation methods" refer to methods and techniques for creating business ideas based on user profiles and market data, while taking into account the emotional state of users.

[0553] "Verification methods" refer to methods and techniques for evaluating the feasibility of generated business ideas and suggesting improvements as needed.

[0554] "Planning methods" refer to methods and techniques for formulating concrete action plans toward realizing a business idea, and for supporting their execution while taking user emotions into consideration.

[0555] "Natural language processing technology" refers to a set of technologies that computers use to understand, interpret, and generate human natural language.

[0556] A "generative AI model" refers to a form of artificial intelligence that generates new information or suggestions based on input data.

[0557] The system of this invention begins with the user inputting their business ideas and emotional data using a terminal. The terminal collects emotional data through voice input, facial expression analysis using a camera, text input, etc. This is achieved using dedicated application software that can run on a general-purpose device.

[0558] The server receives information transmitted from the terminal and analyzes emotional data using an emotion engine. This emotion engine is equipped with a generative AI model and performs advanced analysis of emotional data extracted from the user's voice, facial expressions, and text. This creates a profile that comprehensively reflects the user's skills, interests, and emotional state.

[0559] The server further collects market data from external databases and APIs via scanning mechanisms. The resulting market trend and competitive information is then organized through a sentiment engine in a format that matches user sentiment. This process is best suited to a data center equipped with high-speed processors and large memory capacity.

[0560] For example, if a user becomes interested in a new eco-friendly product, inputs their idea into a terminal, and feels passion for it, the emotion engine detects positive emotions, and the server identifies growth opportunities for the eco-friendly product. This information is analyzed along with the generated user profile and presented to the user as the most suitable business idea.

[0561] The planning method involves developing concrete action plans by incorporating profiles, market data, and sentiment data. This plan supports the realization of business ideas while maintaining positive user sentiment. For example, by entering a prompt such as, "Analyze the user's sentiment when inputting ideas for new eco-friendly products into the system, and generate business ideas based on market trends that match the user's interests," the system can automatically propose a corresponding plan.

[0562] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0563] Step 1:

[0564] Users access the system using a terminal and input their business ideas and emotional data. This can be done via voice input, facial expression analysis using a camera, or text input. The input data is temporarily stored on the terminal and then sent to the server. The output of this step is raw data about the user's ideas and emotional state.

[0565] Step 2:

[0566] The server receives data from the terminal and inputs it into the emotion engine. The emotion engine uses a generative AI model to analyze emotional data from voice, facial expressions, and text. This data processing outputs a profile that reflects the user's emotional state, skills, and interests. Specific operations include analyzing voice waveforms and extracting feature points from facial expressions.

[0567] Step 3:

[0568] The server collects market data using scanning methods. In this process, data obtained from external databases and APIs is filtered based on sentiment information. The input market data includes trends and competitive information, which are used to analyze and identify growth opportunities. The output is a list of market opportunities that match the user's sentiment.

[0569] Step 4:

[0570] The server uses a generation mechanism to generate business ideas based on user profiles and market data. In this data calculation, a generation AI model considers the user's emotional state to create the most suitable idea. The output is a business idea that is appealing to the user. For example, if the user is relaxed, relaxation-related ideas might be presented.

[0571] Step 5:

[0572] The user selects one business idea from those presented via their terminal. This selection is sent to the server, which immediately initiates the validation process. Through the validation process, the idea is evaluated, including its feasibility and market potential. Sentimental data is also considered in this evaluation process to identify points that need improvement. The output is an evaluation report that includes the areas for improvement.

[0573] Step 6:

[0574] The server uses planning tools to combine verification results and sentiment data to formulate a concrete action plan. This calculation considers the steps and resource allocation necessary to sustain the user's emotions. The output is a plan organized in a user-friendly format, which facilitates the concretization of business ideas. Specifically, the prompt message "Analyze the user's emotions when inputting ideas for new eco-products into the system, and generate business ideas based on market trends that match the user's interests" is referenced, and an action plan is then formulated based on that.

[0575] (Application Example 2)

[0576] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0577] In today's home environment, efficiently providing personalized entertainment suggestions based on each user's preferences and emotions is a challenging task. In particular, there is a need to analyze emotional data and suggest the most suitable entertainment for each user.

[0578] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0579] In this invention, the server includes information processing means for generating a profile based on information provided by the user, information acquisition means for identifying growth opportunities by collecting and analyzing external data, and emotion analysis means for analyzing emotion data and generating optimal suggestions for the user. This makes it possible to generate personalized entertainment suggestions for each user within the home.

[0580] An "information processing means" is a mechanism that generates a profile summarizing an individual's characteristics and attributes based on information provided by the user.

[0581] "Information acquisition means" refers to the function of collecting data from external sources and using it to identify areas and opportunities with growth potential.

[0582] A "generation method" is a method for generating specific concepts or proposals based on collected data and profiles.

[0583] An "evaluation tool" is a system for examining the feasibility of a generated concept and identifying areas for improvement.

[0584] "Planning methods" refer to methods for formulating a plan to concretely implement a concept based on evaluation results.

[0585] "Emotional analysis means" refers to a function that analyzes emotional data to generate optimal suggestions tailored to the user's mood and needs.

[0586] In this invention, first, the terminal used by the user generates a profile from information provided by the user using information processing means. The profile includes the user's hobbies and interests. The terminal also acquires emotional data such as voice and facial expressions and analyzes it using emotion analysis means. The analyzed emotional data reflects the user's mood and preferences.

[0587] The server uses information acquisition methods to collect market data and trend information from external sources, and analyzes this data to identify growth opportunities relevant to the user. This process also incorporates sentiment data to provide more personalized information that is relevant to the user.

[0588] In the generation process, this data is used to construct entertainment suggestions tailored to the user. These suggestions include music, movies, and games, but particular emphasis is placed on emotional data, with the suggestions changing depending on the user's mental state.

[0589] For example, if a family wants to relax, the robot could suggest relaxation music accordingly. This optimizes in-home entertainment to suit the user's state of mind.

[0590] Finally, the proposed content generated using the generative AI model is analyzed for feasibility using evaluation tools and provided to the user via the device as an optimized entertainment plan.

[0591] An example of a prompt for a generative AI model would be: "Develop an algorithm to analyze family emotional data and suggest the best entertainment for them. In particular, focus on how to create a list of movies and music to recommend when they are feeling positive." Through this prompt, the system will automatically suggest the best entertainment for the user.

[0592] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0593] Step 1:

[0594] The user inputs information using a terminal. The terminal then uses information processing tools to generate a user profile based on the input information. This input information includes hobbies, interests, and emotional data. This data is processed to output a profile that captures the user's interests.

[0595] Step 2:

[0596] The device collects emotional data and analyzes it using emotion analysis tools. The input emotional data is obtained from sources such as voice and facial expressions. This data is analyzed and output as numerical data representing the user's current emotional state.

[0597] Step 3:

[0598] The server uses information acquisition methods to collect and analyze external data. The input external data includes market trend information. This data is analyzed to output information identifying growth opportunities relevant to the user.

[0599] Step 4:

[0600] The server uses a generation mechanism to generate suggestions based on user profiles, sentiment data, and external data. Inputs include user profiles, sentiment analysis results, and identified growth opportunity information. This data is integrated to construct and output entertainment suggestions tailored to the user.

[0601] Step 5:

[0602] The server uses evaluation tools to assess the feasibility of the generated proposal. The input is the generated proposal content. This content is evaluated from multiple perspectives, and information indicating areas for improvement is output.

[0603] Step 6:

[0604] The server uses planning tools to construct an optimized proposal into a concrete action plan. The input is the evaluation result. Based on this result, an actionable entertainment plan is formulated and output.

[0605] Step 7:

[0606] The device provides an entertainment plan optimized for the user. The input is the final suggested plan sent from the server. This is displayed on the user's device, allowing the user to experience the entertainment.

[0607] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0608] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0609] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0610] [Fourth Embodiment]

[0611] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0612] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0613] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0614] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0615] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0616] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0617] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0618] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0619] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0620] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0621] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0622] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0623] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0624] This invention is a system for efficiently generating and evaluating new business ideas using users, servers, and terminals, and for providing users with feasible action plans. The following specifically describes embodiments of this invention.

[0625] Users log in to the system using their devices and input information about their business idea, their experience, skills, and interests. The server receives this information and analyzes it using natural language processing technology. As a result of the analysis, a user profile is generated and stored on the server. The profile includes keywords and data generated based on past success stories.

[0626] Next, the server utilizes scanning methods to collect market data from the internet and other data sources. This includes market trends and competitive information in specific industries and regions. This collected data forms the basis for identifying growth opportunities.

[0627] Subsequently, the generation system runs on the server and generates business ideas optimized for the user based on the user's strengths and market data. Multiple ideas are created, and the server sends and presents them to the user's terminal.

[0628] Once a user selects an idea of ​​interest from the presented options, the server uses validation tools to evaluate its feasibility and market fit. This process utilizes SWOT analysis and other evaluation methods to analyze the idea's strengths, weaknesses, and market threats and opportunities.

[0629] Finally, the server uses planning tools to develop a concrete action plan based on the evaluated business idea. This action plan specifies the necessary resources and steps and is provided to the user's terminal. This allows the user to proceed with the business according to the plan.

[0630] For example, if a user is thinking of an idea for a new healthcare service based on AI technology, this system combines the user's AI skills with market trends in AI technology to generate a specific business idea such as "personalized health management service using AI." It then verifies how this idea would be received in the market and provides the user with a detailed plan for implementation. Thus, the present invention is a system that streamlines the process of planning and executing new businesses and provides valuable business ideas to users.

[0631] The following describes the processing flow.

[0632] Step 1:

[0633] Users log in to the system using their devices and enter information about their business ideas, experience, skills, and interests. The server receives this information and stores it in a database.

[0634] Step 2:

[0635] The server analyzes the received information using natural language processing techniques to extract important keywords and themes. Based on this analysis, it generates a user profile.

[0636] Step 3:

[0637] The server uses the generated user profile to activate scanning mechanisms to automatically collect market data from the internet and other data sources. This includes market trends and competitive information.

[0638] Step 4:

[0639] The server analyzes collected market data and identifies untapped markets with growth opportunities that leverage the user's strengths.

[0640] Step 5:

[0641] The server integrates user profiles and market analysis results, and uses generation methods to generate multiple feasible business ideas.

[0642] Step 6:

[0643] The user selects a business idea that interests them from those presented on their device. The selected idea is then sent to the server.

[0644] Step 7:

[0645] The server uses validation tools to comprehensively evaluate the feasibility and market suitability of the selected ideas. This evaluation employs methods such as SWOT analysis to identify strengths and areas for improvement.

[0646] Step 8:

[0647] Based on the evaluation results, the server uses planning tools to develop a concrete action plan. This plan includes specific steps and necessary resources.

[0648] Step 9:

[0649] The server transmits the formulated action plan to the terminal, providing it to the user in an actionable format. The user then proceeds with commercialization based on this plan.

[0650] (Example 1)

[0651] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0652] When generating new business ideas and creating concrete implementation plans, it is essential to efficiently combine user skills and interests with market trends. However, traditional methods require a significant amount of time for information gathering and analysis, making it difficult to generate optimal ideas and develop concrete plans. This creates obstacles to starting new businesses.

[0653] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0654] In this invention, the server includes means for generating characteristic information based on information provided by the user, means for identifying growth potential by collecting and analyzing market information, and means for generating business plans based on the characteristic information and market information. This enables the rapid integration of the user's individual characteristics and market conditions, making it possible to plan new businesses and formulate concrete implementation plans.

[0655] "Characteristic information" refers to information that reflects an individual's skills and interests, extracted from data provided by the user.

[0656] "Market information" refers to data on trends and competitor activities in a specific industry or region.

[0657] A "business plan" refers to a new business idea or concept generated based on user characteristic information and market information.

[0658] "Generative means" refers to processes or devices that create new plans or ideas based on input information.

[0659] "Means of analysis" refer to technologies and devices used to analyze collected data and extract useful information.

[0660] An "activity plan" is a document or guideline that outlines the specific actions and procedures necessary to realize a particular project proposal.

[0661] In order to carry out the invention described herein, the user, server, and terminal will cooperate and use various technologies.

[0662] First, the user accesses the system using a terminal and logs in. The user then enters information about the business idea they want to create, as well as personal experience, skills, and interests. This information is processed by the system and stored as user profile information.

[0663] Next, based on this feature information, the server uses natural language processing technology to analyze the user's profile. Specifically, it uses Google's Natural Language API and general natural language processing libraries to understand the meaning of the input text and extract keywords. This profile includes data on skills and interests derived from the information provided by the user.

[0664] Subsequently, the server uses scanning techniques to collect market information from external data sources such as the internet. This market information is gathered using web scraping tools such as Beautiful Soup and Scrapy, and covers trends and competitive information specific to the industry.

[0665] Next, the server uses a generative AI model to generate business ideas based on the user's characteristics and collected market information. Here, a generative AI model such as OpenAI's GPT-3 is used, and new business ideas are obtained by inputting a prompt message. An example of such a prompt message might be, "Please propose a new healthcare service utilizing AI technology."

[0666] The server sends the generated business proposals to the terminal and presents them to the user. The user selects the business proposals that interest them and evaluates their feasibility and market suitability. This evaluation is performed using evaluation methods such as SWOT analysis.

[0667] Finally, the server uses planning tools to create a concrete action plan based on the selected business proposal. This action plan includes the steps and resources necessary to execute the business, and users can receive this information through their terminals and use it to help with the execution.

[0668] This system allows users to quickly integrate individual characteristics and market trends, enabling them to efficiently develop new business plans and implementation strategies.

[0669] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0670] Step 1:

[0671] Users log in to their device and enter information about the business idea they want to create, including their experience, skills, and interests. This data is sent to the server. This data will form the basis for future feature information.

[0672] Step 2:

[0673] The server analyzes the received user information using natural language processing technology. Specifically, it uses Google's Natural Language API and other tools to tokenize the text data and extract keywords. As a result of this analysis, user characteristic information is generated. The user profile is then stored on the server as output.

[0674] Step 3:

[0675] The server uses scanning methods to collect market information. Specifically, it automatically retrieves information from articles and databases on the internet using web scraping tools. Based on the specified industry and region information as input, trend and competitor information is gathered. This results in the output of market information with growth potential.

[0676] Step 4:

[0677] The server uses a generative AI model to generate business proposals based on user characteristics and market information. OpenAI's GPT-3 is used as the generative AI model. A prompt message is sent to the generative AI model, such as "Please propose new healthcare services utilizing AI technology," and new business ideas are output.

[0678] Step 5:

[0679] The server sends the generated business proposals to the user's terminal and presents them to the user. The user selects the business ideas that interest them from the presented ideas. These selected ideas become the input for the next evaluation step. The output is determined based on the user's preferences.

[0680] Step 6:

[0681] The server evaluates the feasibility of the business plan selected by the user. This process uses methods such as SWOT analysis to quantitatively analyze strengths, weaknesses, opportunities, and threats, and outputs the results. This allows for a concrete understanding of the market suitability of the business plan.

[0682] Step 7:

[0683] Based on the evaluation results, the server develops a concrete action plan for realizing the business proposal. It clearly outlines the necessary steps and resources, creating actionable guidelines for the user. The generated action plan is provided to the user's terminal, serving as a guide for business success.

[0684] (Application Example 1)

[0685] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0686] In modern urban development, rapidly formulating new projects tailored to local characteristics is a complex and multifaceted challenge. In particular, developing concrete and feasible plans in a short period while adapting to dynamic market environments and diverse user needs is difficult. Furthermore, existing technologies lack the functionality to leverage individual skills and interests in conjunction with local information. Therefore, there is a growing need for a system that generates region-specific business ideas in real time and develops action plans accordingly.

[0687] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0688] In this invention, the server includes a profiling means that generates characteristics based on information provided by the user, a search means that identifies growth opportunities by collecting and analyzing information, and a location identification means that presents region-specific business ideas in real time based on location information. This enables the user to obtain region-appropriate business ideas in real time on the spot and quickly formulate an action plan based on them.

[0689] "Profiling methods" are technical means that generate individual characteristics based on information provided by the user and structure that characteristic information.

[0690] "Exploratory tools" are technical means for collecting and analyzing external information and market data to identify specific growth opportunities and trends.

[0691] "Generation methods" refer to technological means of creating new business ideas based on collected user characteristic information and market data.

[0692] "Verification methods" are technical means that evaluate the feasibility of generated business ideas and suggest potential areas for improvement that may arise during the process.

[0693] "Planning methods" refer to technical means for formulating in detail the specific steps and necessary resources for realizing a business idea.

[0694] "Location-based methods" refer to technological means that present region-specific business ideas in real time based on the user's location information.

[0695] The system implementing this invention is equipped with means for profiling the user's characteristics based on the information they input. The terminal sends user information to the server, which uses this information to generate user characteristics. In this process, natural language processing technology is used to analyze the user's interests in detail.

[0696] The server utilizes exploration tools to collect market data and regional characteristics from various external sources and identify growth opportunities. The collected data is filtered based on the user's current location using localization tools. To integrate this information in a consistent manner, the server uses Python and the Django framework.

[0697] Furthermore, a generation system operates on the server, generating new business ideas based on user characteristics and filtered market data. This process utilizes a generation AI model, enabling sophisticated data generation. For example, the Hugging Face model can be used to construct ideas that meet industry trends and region-specific needs.

[0698] The generated ideas are evaluated for their feasibility through validation methods. This evaluation utilizes techniques such as SWOT analysis to analyze the strengths, weaknesses, opportunities, and threats of the business idea. Through such detailed analysis, users can make informed and accurate decisions.

[0699] Ultimately, the planning process provides a concrete action plan for realizing the business idea. This action plan details the necessary resources and steps, enabling users to take concrete actions based on the plan.

[0700] For example, if a user is near a tourist destination, the server can generate and present specific business ideas in real time, such as "an AI-powered guided tour service for the increasing number of tourists." An example of a prompt to the generating AI model in this case would be, "If the user is currently in XX, what business idea would be best suited to the needs of that area?"

[0701] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0702] Step 1:

[0703] The user enters their information via a terminal. This information includes the user's experience, skills, and interests. The terminal sends this information to a server. The terminal communicates with the server to analyze the entered information.

[0704] Step 2:

[0705] Based on the user information received by the server, user characteristics are generated using profiling techniques. This process utilizes natural language processing technology to analyze user input data and extract specific keywords and themes. The input is the user's raw data, and the output is the analyzed user profile.

[0706] Step 3:

[0707] The server uses exploration tools to collect market data and location-based regional characteristics information from the internet and other data sources. The collected data is filtered using location-specific tools to be combined with the user's local information. The input is raw regional and market data, and the output is analytical data specific to the user's location.

[0708] Step 4:

[0709] The server uses a generation method to generate new business ideas based on user characteristics and filtered market data. A generation AI model is utilized here to create ideas that align with trends and needs. Inputs are profiles and analytical data, while output is concrete business ideas.

[0710] Step 5:

[0711] The server evaluates the feasibility of the generated business ideas using verification tools. Through SWOT analysis, it analyzes the strengths, weaknesses, opportunities, and threats of the ideas and provides feedback to the user. The input is the idea, and the output is the evaluation results and improvement suggestions.

[0712] Step 6:

[0713] The server, using its planning tools, develops a concrete action plan based on the evaluated business idea. This plan includes the necessary resources and steps. The input is the evaluated idea, and the output is the concrete action plan.

[0714] Step 7:

[0715] Users use their devices to view action plans received from the server and prepare to take concrete actions. Users can review business ideas and action plans presented in real time and make decisions accordingly.

[0716] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0717] This invention is a system that efficiently generates new business ideas and plans for their realization by utilizing user-provided information and emotional data. This system has a configuration that combines profiling means, scanning means, generation means, verification means, planning means, and an emotional engine.

[0718] Users access the system using a terminal, inputting business ideas and information about themselves, as well as providing emotional data. This emotional data is extracted from the user's voice, facial expressions, and text nuances, and analyzed by an emotional engine. The server receives and analyzes this data to generate a user profile. This profile reflects not only the user's skills and interests, but also their current emotional state.

[0719] Next, the server uses scanning devices to collect market data. The sentiment information recognized by the sentiment engine is also used at this stage to identify market trends and opportunities that match the user's sentiment.

[0720] The generation method generates multiple business ideas based on user profiles and market data. Here, user emotions are considered, and ideas that align with those emotions are presented preferentially. This process allows for more interesting proposals for users.

[0721] Once a user selects a business idea from the presented options, the server uses validation tools to comprehensively evaluate that idea. This evaluation includes sentiment data, and if the evaluation results are unfavorable to the user's sentiment, the server will focus on suggesting areas for improvement.

[0722] Finally, the planning method involves formulating a concrete action plan by considering the verification results and emotional data. This provides an implementation plan that is likely to sustain positive user emotions, thereby supporting smooth commercialization.

[0723] As a concrete example, suppose a user is interested in a new eco-friendly product and inputs an idea into the system. If the user is passionate about this idea, the emotion engine detects positive feedback. Based on this, the server analyzes market growth opportunities and prioritizes presenting eco-friendly product ideas that match the user's motivation. This allows the user to develop new ideas while respecting their own emotions.

[0724] The following describes the processing flow.

[0725] Step 1:

[0726] Users access a device and input information about their business ideas, experiences, skills, and interests, while simultaneously providing emotional data through facial expressions and voice via the camera and microphone. The device then transmits this data to a server.

[0727] Step 2:

[0728] The server analyzes the received user information and sentiment data to generate a user profile. The profile includes the user's skills, interests, and emotional state, and uses natural language processing techniques to extract important keywords.

[0729] Step 3:

[0730] The server activates scanning mechanisms to collect market data and trend information from the internet and other data sources. At this time, it identifies growth opportunities that match the user's interests and emotions, based on sentiment information.

[0731] Step 4:

[0732] The server uses generation methods to integrate user profiles and market data to generate multiple business ideas that take emotional information into account. The emotion engine prioritizes presenting ideas in which positive emotions are detected.

[0733] Step 5:

[0734] The user selects business ideas of interest from those presented on the device. The selected ideas are sent to the server and proceed to the next evaluation process.

[0735] Step 6:

[0736] The server evaluates the feasibility and market suitability of the selected business idea using verification methods. This evaluation process utilizes sentiment data and provides improvement suggestions specifically for elements that users have expressed concerns about.

[0737] Step 7:

[0738] The server uses planning tools to develop a concrete action plan to realize the validated business idea. This plan includes steps that take into account the user's positive emotions and are designed to increase user motivation.

[0739] Step 8:

[0740] The server sends the formulated action plan to the terminal. Based on this, the user can take action toward actual commercialization. User feedback is continuously collected, and the system optimizes its proposals through learning.

[0741] (Example 2)

[0742] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0743] Conventional business idea generation systems have difficulty adequately considering the user's emotional state and its changes, making it challenging to provide optimal suggestions for the user. Furthermore, when evaluating the feasibility of business ideas, they fail to provide feedback that reflects the user's emotions, making it difficult to maintain user motivation and interest.

[0744] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0745] In this invention, the server includes means for generating a profile based on information and emotional data provided by the user, means for collecting market data and identifying growth opportunities by analyzing it based on the user's emotions, and means for generating business ideas that take into account the user's emotional state based on the user profile and market data. This makes it possible to propose optimal business ideas that reflect the user's emotions and to formulate concrete plans for their realization.

[0746] A "user" refers to an individual or organization that accesses the system and provides business ideas or sentiment data.

[0747] "Emotional data" refers to data that indicates a user's emotional state, extracted from the user's voice, facial expressions, text nuances, and other similar information.

[0748] A "profile" refers to a collection of information about a user, including their skills, interests, and emotional state.

[0749] "Market data" refers to data collected from external sources regarding market trends, competitive information, business opportunities, and other related matters.

[0750] "Generation methods" refer to methods and techniques for creating business ideas based on user profiles and market data, while taking into account the emotional state of users.

[0751] "Verification methods" refer to methods and techniques for evaluating the feasibility of generated business ideas and suggesting improvements as needed.

[0752] "Planning methods" refer to methods and techniques for formulating concrete action plans toward realizing a business idea, and for supporting their execution while taking user emotions into consideration.

[0753] "Natural language processing technology" refers to a set of technologies that computers use to understand, interpret, and generate human natural language.

[0754] A "generative AI model" refers to a form of artificial intelligence that generates new information or suggestions based on input data.

[0755] The system of this invention begins with the user inputting their business ideas and emotional data using a terminal. The terminal collects emotional data through voice input, facial expression analysis using a camera, text input, etc. This is achieved using dedicated application software that can run on a general-purpose device.

[0756] The server receives information transmitted from the terminal and analyzes emotional data using an emotion engine. This emotion engine is equipped with a generative AI model and performs advanced analysis of emotional data extracted from the user's voice, facial expressions, and text. This creates a profile that comprehensively reflects the user's skills, interests, and emotional state.

[0757] The server further collects market data from external databases and APIs via scanning mechanisms. The resulting market trend and competitive information is then organized through a sentiment engine in a format that matches user sentiment. This process is best suited to a data center equipped with high-speed processors and large memory capacity.

[0758] For example, if a user becomes interested in a new eco-friendly product, inputs their idea into a terminal, and feels passion for it, the emotion engine detects positive emotions, and the server identifies growth opportunities for the eco-friendly product. This information is analyzed along with the generated user profile and presented to the user as the most suitable business idea.

[0759] The planning method involves developing concrete action plans by incorporating profiles, market data, and sentiment data. This plan supports the realization of business ideas while maintaining positive user sentiment. For example, by entering a prompt such as, "Analyze the user's sentiment when inputting ideas for new eco-friendly products into the system, and generate business ideas based on market trends that match the user's interests," the system can automatically propose a corresponding plan.

[0760] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0761] Step 1:

[0762] Users access the system using a terminal and input their business ideas and emotional data. This can be done via voice input, facial expression analysis using a camera, or text input. The input data is temporarily stored on the terminal and then sent to the server. The output of this step is raw data about the user's ideas and emotional state.

[0763] Step 2:

[0764] The server receives data from the terminal and inputs it into the emotion engine. The emotion engine uses a generative AI model to analyze emotional data from voice, facial expressions, and text. This data processing outputs a profile that reflects the user's emotional state, skills, and interests. Specific operations include analyzing voice waveforms and extracting feature points from facial expressions.

[0765] Step 3:

[0766] The server collects market data using scanning methods. In this process, data obtained from external databases and APIs is filtered based on sentiment information. The input market data includes trends and competitive information, which are used to analyze and identify growth opportunities. The output is a list of market opportunities that match the user's sentiment.

[0767] Step 4:

[0768] The server uses a generation mechanism to generate business ideas based on user profiles and market data. In this data calculation, a generation AI model considers the user's emotional state to create the most suitable idea. The output is a business idea that is appealing to the user. For example, if the user is relaxed, relaxation-related ideas might be presented.

[0769] Step 5:

[0770] The user selects one business idea from those presented via their terminal. This selection is sent to the server, which immediately initiates the validation process. Through the validation process, the idea is evaluated, including its feasibility and market potential. Sentimental data is also considered in this evaluation process to identify points that need improvement. The output is an evaluation report that includes the areas for improvement.

[0771] Step 6:

[0772] The server uses planning tools to combine verification results and sentiment data to formulate a concrete action plan. This calculation considers the steps and resource allocation necessary to sustain the user's emotions. The output is a plan organized in a user-friendly format, which facilitates the concretization of business ideas. Specifically, the prompt message "Analyze the user's emotions when inputting ideas for new eco-products into the system, and generate business ideas based on market trends that match the user's interests" is referenced, and an action plan is then formulated based on that.

[0773] (Application Example 2)

[0774] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0775] In today's home environment, efficiently providing personalized entertainment suggestions based on each user's preferences and emotions is a challenging task. In particular, there is a need to analyze emotional data and suggest the most suitable entertainment for each user.

[0776] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0777] In this invention, the server includes information processing means for generating a profile based on information provided by the user, information acquisition means for identifying growth opportunities by collecting and analyzing external data, and emotion analysis means for analyzing emotion data and generating optimal suggestions for the user. This makes it possible to generate personalized entertainment suggestions for each user within the home.

[0778] An "information processing means" is a mechanism that generates a profile summarizing an individual's characteristics and attributes based on information provided by the user.

[0779] "Information acquisition means" refers to the function of collecting data from external sources and using it to identify areas and opportunities with growth potential.

[0780] A "generation method" is a method for generating specific concepts or proposals based on collected data and profiles.

[0781] An "evaluation tool" is a system for examining the feasibility of a generated concept and identifying areas for improvement.

[0782] "Planning methods" refer to methods for formulating a plan to concretely implement a concept based on evaluation results.

[0783] "Emotional analysis means" refers to a function that analyzes emotional data to generate optimal suggestions tailored to the user's mood and needs.

[0784] In this invention, first, the terminal used by the user generates a profile from information provided by the user using information processing means. The profile includes the user's hobbies and interests. The terminal also acquires emotional data such as voice and facial expressions and analyzes it using emotion analysis means. The analyzed emotional data reflects the user's mood and preferences.

[0785] The server uses information acquisition methods to collect market data and trend information from external sources, and analyzes this data to identify growth opportunities relevant to the user. This process also incorporates sentiment data to provide more personalized information that is relevant to the user.

[0786] In the generation process, this data is used to construct entertainment suggestions tailored to the user. These suggestions include music, movies, and games, but particular emphasis is placed on emotional data, with the suggestions changing depending on the user's mental state.

[0787] For example, if a family wants to relax, the robot could suggest relaxation music accordingly. This optimizes in-home entertainment to suit the user's state of mind.

[0788] Finally, the proposed content generated using the generative AI model is analyzed for feasibility using evaluation tools and provided to the user via the device as an optimized entertainment plan.

[0789] An example of a prompt for a generative AI model would be: "Develop an algorithm to analyze family emotional data and suggest the best entertainment for them. In particular, focus on how to create a list of movies and music to recommend when they are feeling positive." Through this prompt, the system will automatically suggest the best entertainment for the user.

[0790] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0791] Step 1:

[0792] The user inputs information using a terminal. The terminal then uses information processing tools to generate a user profile based on the input information. This input information includes hobbies, interests, and emotional data. This data is processed to output a profile that captures the user's interests.

[0793] Step 2:

[0794] The device collects emotional data and analyzes it using emotion analysis tools. The input emotional data is obtained from sources such as voice and facial expressions. This data is analyzed and output as numerical data representing the user's current emotional state.

[0795] Step 3:

[0796] The server uses information acquisition methods to collect and analyze external data. The input external data includes market trend information. This data is analyzed to output information identifying growth opportunities relevant to the user.

[0797] Step 4:

[0798] The server uses a generation mechanism to generate suggestions based on user profiles, sentiment data, and external data. Inputs include user profiles, sentiment analysis results, and identified growth opportunity information. This data is integrated to construct and output entertainment suggestions tailored to the user.

[0799] Step 5:

[0800] The server uses evaluation tools to assess the feasibility of the generated proposal. The input is the generated proposal content. This content is evaluated from multiple perspectives, and information indicating areas for improvement is output.

[0801] Step 6:

[0802] The server uses planning tools to construct an optimized proposal into a concrete action plan. The input is the evaluation result. Based on this result, an actionable entertainment plan is formulated and output.

[0803] Step 7:

[0804] The device provides an entertainment plan optimized for the user. The input is the final suggested plan sent from the server. This is displayed on the user's device, allowing the user to experience the entertainment.

[0805] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0806] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0807] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0808] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0809] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0810] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0811] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0812] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0813] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0814] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0815] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[0816] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[0817] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0818] 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.

[0819] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0820] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0821] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0822] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0823] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0824] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0825] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0826] The following is further disclosed regarding the embodiments described above.

[0827] (Claim 1)

[0828] A profiling method that generates a profile based on information provided by the user,

[0829] A scanning method that identifies growth opportunities by collecting and analyzing market data,

[0830] A generation method for generating business ideas based on user profiles and market data,

[0831] A verification method for evaluating the feasibility of generated business ideas and suggesting areas for improvement,

[0832] Planning tools for formulating concrete action plans to realize business ideas,

[0833] A system that includes this.

[0834] (Claim 2)

[0835] The system according to claim 1, comprising means for collecting user feedback and continuously learning to optimize the system's suggestions.

[0836] (Claim 3)

[0837] The system according to claim 1, comprising means for analyzing the user's interests using natural language processing technology.

[0838] "Example 1"

[0839] (Claim 1)

[0840] A means for generating feature information based on information provided by the user,

[0841] A means of identifying growth potential by collecting and analyzing market information,

[0842] A means of generating business plans based on characteristic information and market information,

[0843] A means of evaluating the potential of the generated business plan and suggesting areas for improvement,

[0844] A means of formulating a concrete action plan for realizing the business proposal,

[0845] A system that includes this.

[0846] (Claim 2)

[0847] The system according to claim 1, comprising a continuous learning mechanism for collecting user feedback and optimizing the system's suggestions.

[0848] (Claim 3)

[0849] The system according to claim 1, comprising means for analyzing user interests using natural language processing technology.

[0850] "Application Example 1"

[0851] (Claim 1)

[0852] A profiling method that generates characteristics based on information provided by the user,

[0853] A means of exploration that identifies growth opportunities by collecting and analyzing information,

[0854] A means for generating business ideas based on user characteristics and information,

[0855] A verification method to evaluate the feasibility of the generated business idea and to clearly identify areas for improvement,

[0856] A planning method for formulating a concrete action plan to realize a business idea,

[0857] A location-based method that presents region-specific business ideas in real time,

[0858] A system that includes this.

[0859] (Claim 2)

[0860] The system according to claim 1, comprising means for collecting user feedback and continuously learning to optimize system suggestions.

[0861] (Claim 3)

[0862] The system according to claim 1, comprising means for analyzing the user's interests using natural language processing technology.

[0863] "Example 2 of combining an emotion engine"

[0864] (Claim 1)

[0865] A means for generating a profile based on user-provided information and sentiment data,

[0866] A means of identifying growth opportunities by collecting market data and analyzing it based on user sentiment,

[0867] A means of generating business ideas that take into account the emotional state of users, based on user profiles and market data.

[0868] A means of evaluating the feasibility of generated business ideas and suggesting areas for improvement, including emotional data,

[0869] To formulate a concrete action plan for realizing the business idea, and to provide a means to offer a plan that sustains user emotions,

[0870] A system that includes this.

[0871] (Claim 2)

[0872] The system according to claim 1, comprising means for collecting feedback based on user sentiment data and continuously learning to optimize the system's suggestions.

[0873] (Claim 3)

[0874] The system according to claim 1, comprising means for analyzing the user's interests using natural language processing technology and incorporating emotional data.

[0875] "Application example 2 when combining with an emotional engine"

[0876] (Claim 1)

[0877] Information processing means for generating a profile based on information provided by the user,

[0878] A means of acquiring information to identify growth opportunities by collecting and analyzing external data,

[0879] A generation means for generating concepts based on user profiles and external data,

[0880] An evaluation method for assessing the feasibility of the generated concept and suggesting areas for improvement,

[0881] A planning tool for formulating concrete action plans toward realizing the concept,

[0882] A sentiment analysis method that analyzes emotional data and generates optimal suggestions for the user,

[0883] A system that includes this.

[0884] (Claim 2)

[0885] The system according to claim 1, comprising means for collecting user feedback and continuously learning to optimize system suggestions.

[0886] (Claim 3)

[0887] The system according to claim 1, comprising means for analyzing the user's hobbies and preferences using natural language processing technology. [Explanation of Symbols]

[0888] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A profiling method that generates characteristics based on information provided by the user, A means of exploration that identifies growth opportunities by collecting and analyzing information, A means for generating business ideas based on user characteristics and information, A verification method to evaluate the feasibility of the generated business idea and to clearly identify areas for improvement, A planning method for formulating a concrete action plan to realize a business idea, A location-based method that presents region-specific business ideas in real time, A system that includes this.

2. The system according to claim 1, comprising means for collecting user feedback and continuously learning to optimize system suggestions.

3. The system according to claim 1, comprising means for analyzing the user's interests using natural language processing technology.

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