system

Abstract

We provide the system. [Solution] A means of acquiring information from multiple users and selecting a sales scenario based on that information, A means for generating an artificial intelligence avatar based on a selected sales scenario, A means for constructing a virtual reality environment and for conducting a dialogue between a user and an artificial intelligence avatar within the virtual reality environment, A means for recording user voice and motion data, analyzing it in real time, and generating feedback, A means of presenting the generated feedback to the user, A system that includes this.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In modern sales and customer service operations, with the diversification of customer needs, flexible and high-quality responses are required. However, acquiring these skills requires a great deal of time and resources, imposing a heavy burden on employees. As a result, there is a lack of methods for efficiently and easily improving practical sales skills. Furthermore, multilingual support and customization according to individual strengths and weaknesses are also required, and efficient training means for dealing with these are needed.

Means for Solving the Problems

[0005] This invention solves the above problems by providing a sales skills improvement system using a virtual reality environment. Specifically, it first selects and customizes a sales scenario based on information obtained from the user. Next, it generates an artificial intelligence avatar suitable for that scenario and enables multilingual support. The user experiences realistic sales situations while interacting with this avatar in a virtual reality environment. Furthermore, the user's voice output and actions within the virtual reality environment are recorded in real time and analyzed on a server to provide specific areas for improvement as feedback. Through this series of steps, a means of efficiently and effectively improving sales and customer service skills is realized.

[0006] "User information" refers to data obtained from users, such as skill levels, language proficiency, and past sales experience, which is necessary for generating customized sales scenarios within the system.

[0007] A "sales scenario" is a simulated situation prepared to deal with specific sales situations or customers, providing a virtual environment for users to improve their practical skills.

[0008] An "artificial intelligence avatar" is a virtual character generated based on a pre-trained model, which enables realistic customer interaction simulations by engaging in dialogue and interaction with users within sales scenarios.

[0009] A "virtual reality environment" is a computer-generated three-dimensional space in which users can have an immersive experience using a dedicated headset, and it functions as a place to experience sales scenarios.

[0010] "Voice and motion data" refers to information including the sounds and body movements that a user makes within the virtual reality environment. This data is used to analyze user performance and provide feedback.

[0011] "Feedback" refers to analysis results based on user voice and behavioral data, provided to users as information that specifically indicates areas for improvement in sales skills and areas that need strengthening. [Brief explanation of the drawing]

[0012] [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]It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when a sentiment engine is combined.

Embodiments for Carrying Out the Invention

[0013] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0014] First, the terms used in the following description will be explained.

[0015] In the following embodiments, a labeled 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.

[0016] In the following embodiments, a labeled RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0017] In the following embodiments, a labeled storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0018] )]]END]]In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0019] 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."

[0020] [First Embodiment]

[0021] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0022] 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.

[0023] 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).

[0024] 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.

[0025] 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.

[0026] 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.

[0027] 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.

[0028] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0029] 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.

[0030] 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.

[0031] 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.

[0032] 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".

[0033] The system of this invention aims to efficiently improve sales and customer service skills. This system consists of three main elements: a server, a user terminal (including a VR device), and the user.

[0034] First, the user logs into the system and provides information such as their sales skills, areas for improvement, and preferred languages. This information is sent to the server as "user information."

[0035] Next, the server selects an appropriate "sales scenario" based on the acquired user information. The selected scenario is customized to take into account the user's strengths and weaknesses, making it possible to simulate a variety of sales situations.

[0036] Subsequently, the server generates an "artificial intelligence avatar" based on the sales scenario. This avatar is designed to engage in natural conversations with the user and utilizes a pre-trained model. In particular, it supports multiple languages, allowing users to experience the sales scenario in several languages.

[0037] Meanwhile, the user terminal receives scenario and avatar data sent from the server and constructs a "virtual reality environment." This environment provides the user with a realistic simulation of a store or office, and the user begins the experience by putting on a VR headset.

[0038] Within this virtual reality environment, users experience practical sales scenarios through interaction with an AI avatar. The device records the user's "voice and motion data" in real time and sends this data to a server. The server analyzes the received data and evaluates the user's reactions and interactions to generate specific "feedback."

[0039] The generated feedback is presented to the user via the device. This feedback specifically indicates areas for improvement, such as voice tone, response speed, and gestures. The user uses this feedback to improve their sales skills.

[0040] As a concrete example, in the case of a sales representative who needs to handle multiple languages, the server adjusts the script based on the language selected by the user and simulates interacting with customers from different cultural backgrounds. In this way, users can efficiently and practically improve their sales skills.

[0041] The following describes the processing flow.

[0042] Step 1:

[0043] Users log in to the system and enter their profile information, sales skill requirements, and preferred languages. This user information is then sent to the server.

[0044] Step 2:

[0045] The server uses an algorithm based on the received user information to select the optimal sales scenario. During the selection process, the user's strengths, weaknesses, and past experience are considered to customize the scenario to be the best fit.

[0046] Step 3:

[0047] The server generates an AI avatar based on the selected sales scenario. The avatar utilizes a pre-trained model to enable natural conversation and supports multiple languages.

[0048] Step 4:

[0049] The terminal receives scenario data and avatar data sent from the server. Using these, it constructs a virtual reality environment and presents it to the user. The virtual reality environment provides a realistic sales simulation based on the scenario.

[0050] Step 5:

[0051] Users wear a VR headset in a virtual reality environment and experience real-world sales situations by interacting with an avatar. This allows them to learn about diverse customer interactions in real time.

[0052] Step 6:

[0053] The device records voice and motion data acquired from the user in real time. The recorded data is immediately sent to the server.

[0054] Step 7:

[0055] The server analyzes received audio and motion data to evaluate user performance. Based on the analysis results, it generates feedback including specific areas for improvement.

[0056] Step 8:

[0057] The terminal displays feedback sent from the server to the user. This feedback includes specific advice for improving sales skills. The user uses this information to improve their next training session.

[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] In the process of improving sales skills, there is a need to provide an environment where users can experience realistic sales scenarios through natural, multilingual dialogues and receive appropriate feedback tailored to their individual strengths and weaknesses. Conventional systems have struggled to meet these needs, with difficulties in flexibly adjusting scenarios and generating multilingual AI conversationalists, resulting in inefficient learning.

[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 acquiring information on multiple users and selecting a sales activity scenario based on that information; means for generating a multilingual artificial intelligence (AI) dialogue partner using a generation AI model based on the selected sales scenario; and means for constructing a three-dimensional virtual environment and for the user and the AI ​​dialogue partner to conduct a dialogue within the virtual environment. This enables users to experience practical sales scenarios in a realistic simulation environment in multiple languages ​​and improve their individual sales skills through detailed feedback.

[0063] "User information" refers to data about an individual aimed at improving their sales skills, and specifically includes information such as their strengths, areas for improvement, and preferred languages ​​of use.

[0064] A "sales activity scenario" is a collection of stories and scenes that simulate various sales situations, designed for users to experience in a virtual environment and improve their sales skills.

[0065] A "generative AI model" is an artificial intelligence that learns from various data in advance to enable natural conversations with users, and it is a model that has functions such as multilingual support.

[0066] An "artificial intelligence conversationalist" is a virtual agent created by a generative AI model that has the ability to engage in natural conversation with the user.

[0067] A "three-dimensional virtual environment" is a realistic, three-dimensional space constructed for users to experience simulated sales scenarios, creating an environment where users can feel as if they are in a real store or office.

[0068] "Responses" are information generated as a result of analyzing user behavior and statements, in order to provide feedback on areas for improvement and evaluations.

[0069] This invention is a system for improving users' sales skills, and it functions through the coordinated operation of three elements: a server, a terminal, and the user. Its specific form is described below.

[0070] The server first receives user information, which includes the user's strengths in sales skills, areas for improvement, and preferred language. The server processes the received user information and selects the optimal scenario from multiple sales activity scenarios. The selection process is customized to take into account the user's characteristics and to simulate a variety of sales situations.

[0071] Next, the server generates an artificial intelligence (AI) conversationalist using a generative AI model based on the selected sales activity scenario. This conversationalist is multilingual and capable of engaging in natural conversation with the user. The generative AI model uses advanced natural language processing techniques based on previously learned data to facilitate smooth conversations.

[0072] The terminal receives scenario data and generated avatar data transmitted from the server and constructs a three-dimensional virtual environment. This virtual environment is built using a virtual reality device, and by wearing a VR headset, users can experience simulations of realistic stores and offices. Through interaction within the virtual environment, users can gain experience that simulates actual business situations.

[0073] For example, in the case of a sales representative who needs to support multiple languages, the server adjusts the sales script according to the language selected by the user, providing sales scenarios for customers with different cultural backgrounds, such as English or French. An example of a prompt in this case would be, "Please create a sales scenario in Japanese and generate an avatar that can also communicate in English and French."

[0074] Through the above process, users will be able to improve their sales skills in a more practical and effective way.

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

[0076] Step 1:

[0077] Users input their sales skills, areas for improvement, and preferred languages ​​through a terminal. The terminal aggregates this data and sends it to the server as "user information." During this process, the user interface includes an input assistance function to encourage accurate information entry.

[0078] Step 2:

[0079] The server analyzes the received user information and selects the most suitable sales activity scenario from the database. Using an AI algorithm, it considers the user's strengths and weaknesses based on the input user information, customizing and outputting an appropriate sales scenario. The server is equipped with a high-speed computing engine to assist in rapid processing.

[0080] Step 3:

[0081] The server sends a prompt to the generating AI model based on the selected sales activity scenario, generating an artificial intelligence conversationalist. This prompt is something like, "Generate a multilingual conversationalist based on the selected scenario." The generating AI model uses this input to output conversationalist data using natural language processing techniques.

[0082] Step 4:

[0083] The terminal receives customized scenario data and generated avatar data sent from the server, and constructs a three-dimensional virtual environment. This virtual environment is constructed using a VR device, providing the user with a realistically reproduced space of a virtual store or office. The user can then put on a VR headset and begin the experience.

[0084] Step 5:

[0085] The user experiences sales activity scenarios through dialogue with an AI interlocutor in a virtual environment. The terminal records voice and motion information during the dialogue in real time. The recorded data is sent from the terminal to a server, where the server analyzes the data using a speech recognition engine and motion analysis algorithms to evaluate the user's responses.

[0086] Step 6:

[0087] The server generates specific feedback for the user based on the analysis results. This feedback includes areas for improvement such as voice tone, speaking speed, and gestures, and is generated as output. The terminal presents this feedback to the user, who can then consider specific actions to improve their sales skills based on it.

[0088] (Application Example 1)

[0089] 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."

[0090] Existing sales and customer service skill improvement systems struggle to effectively simulate real-world scenarios within a virtual environment. They also have limitations in providing diverse product information and enhancing the purchasing experience. In particular, the lack of multilingual user support prevents them from adequately addressing international purchasing behavior, and this issue needs to be resolved.

[0091] 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.

[0092] In this invention, the server includes means for acquiring multiple user information and selecting a sales scenario based thereon; means for generating an intelligent system avatar based on the selected sales scenario; means for constructing a virtual environment and executing a dialogue between the user and the intelligent system avatar within the virtual environment; and means for guiding the user's purchasing experience using the intelligent system avatar to provide product information or suggestions. This enables users to improve their practical sales skills and purchasing experience in a realistic virtual store environment through natural dialogue in multiple languages.

[0093] "User information" refers to individual data about a user, such as their profile, intentions, and preferred languages.

[0094] A "sales scenario" is a set of situations and scenarios within a virtual sales environment designed to improve the user's skills.

[0095] An "intelligent system avatar" is a virtual character created using artificial intelligence technology that can interact naturally with the user.

[0096] A "virtual environment" is a computer-generated environment that uses virtual reality technology to provide users with an experience that is as close to reality as possible.

[0097] "Voice and motion information" refers to the user's voice data and data related to their body movements.

[0098] "Feedback" refers to information about areas for improvement and advice generated based on user interaction.

[0099] "Product information refers to detailed information about the products and services offered by the intelligent system avatar."

[0100] The "purchase experience" refers to the entire experience a user goes through when selecting and purchasing a product or service.

[0101] This invention presents a system for constructing a multilingual virtual environment using an intelligent system avatar in order to improve the user's sales and purchasing experience. The system mainly consists of a server, a user terminal, and an intelligent system avatar.

[0102] The server collects voice and behavioral information from the user and selects an appropriate sales scenario based on this information. Based on the selected scenario, the server generates an intelligent system avatar and simulates various scenarios within a virtual environment. This allows the user to hone their sales skills through realistic interactions.

[0103] The user terminal creates a virtual environment using a VR device such as the Oculus Quest 2. Through the terminal, the user interacts with an intelligent system avatar and receives product information and suggestions. The user's voice and movement information collected by the terminal is transmitted to the server in real time, and the intelligent system avatar provides dynamic feedback.

[0104] The software supporting this entire system includes Unity for creating virtual environments, Python for speech and text processing, and generative AI models for natural language processing (e.g., OpenAI® GPT-4®). This allows users to experience a natural, multilingual dialogue environment.

[0105] A concrete example would be a scenario where a Japanese user visits a virtual French wine shop and receives detailed information and recommendations about French wines from an intelligent system avatar. In this case, an example of a prompt might be, "Please write a script that suggests a suitable wine when the user prefers red wine and is looking for a French wine within a budget of 5000 yen."

[0106] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0107] Step 1:

[0108] The user logs in to the terminal and enters personal information, preferences, and preferred language. The entered information is sent from the terminal to the server and stored on the server as user information. The server uses this information to understand the user's needs.

[0109] Step 2:

[0110] The server selects an appropriate sales scenario based on the received user information. The server chooses the best scenario from the database and retrieves related data through filtering. The selected scenario is tailored to the user's current state.

[0111] Step 3:

[0112] Based on the selected sales scenario, the server generates an intelligent system avatar. Using the generation AI model, it creates multilingual conversation scripts tailored to the scenario. This results in an avatar that provides users with a realistic conversational experience.

[0113] Step 4:

[0114] The server sends the generated scenario and avatar data to the device. The device receives this data and uses Unity to build a virtual environment. This environment is rendered to realistically reproduce the space the user will experience.

[0115] Step 5:

[0116] The user accesses a virtual environment using a VR device and begins interacting with an intelligent system avatar. The device records the user's voice and motion data in real time and sends this data to a server. The server analyzes the received data using speech recognition and motion analysis.

[0117] Step 6:

[0118] The server generates feedback on user interaction based on the analysis results. It uses a Python data processing library to evaluate voice tone, gestures, and response speed. The generated feedback provides users with specific suggestions for improvement.

[0119] Step 7:

[0120] The server sends the generated feedback to the terminal, which then presents it to the user. Based on the feedback, the user can adjust their actions and continue training to acquire more effective sales skills.

[0121] 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.

[0122] This invention relates to a virtual reality training system for efficiently improving skills in sales and customer service operations. The system consists of three main elements: a server, a user terminal (including a virtual reality device), and the user, and further includes an emotion engine that recognizes the user's emotions and enables appropriate responses.

[0123] First, the user logs into the system and provides user information, including profile information, desired sales skills, and supported languages. This information is received by the server and used to select an appropriate sales scenario. Based on the user information, the server selects the optimal sales scenario and further customizes it to the user's needs. Based on the selected scenario, a multilingual AI avatar is generated.

[0124] The user terminal uses scenarios and avatar data received from the server to construct a virtual reality environment. In this environment, the user wears a VR headset and can experience a realistic sales situation. Within this scenario, the user can interact with an AI avatar and hone their skills through practical training.

[0125] The user's speech and actions during the experience are recorded in real time on the device. This data is sent to a server, where an emotion engine analyzes it to recognize the user's emotions. Based on these recognized emotions, the sales scenario is dynamically adjusted. For example, if the user is nervous, the system can adapt accordingly by providing a more relaxed response.

[0126] The server further generates and provides feedback that takes into account the user's emotional state. This feedback includes specific advice on individual emotional responses, such as areas for improvement in tone of voice, facial expressions, and gestures. This allows users to aim for improvement in advanced customer service skills, including emotional aspects.

[0127] As a concrete example, when sales representatives experience scenarios involving customers from diverse cultural backgrounds, utilizing the emotion engine can hone their communication skills across language and cultural barriers. Users can learn more effective response methods while becoming more aware of their own emotions.

[0128] The following describes the processing flow.

[0129] Step 1:

[0130] Users log into the system and enter their profile information, preferred scenarios, and supported languages ​​for training aimed at improving their sales skills. This information is then sent to the server.

[0131] Step 2:

[0132] The server selects an appropriate sales scenario based on the received user information. The selection process analyzes the user's strengths and weaknesses and customizes the scenario to meet individual needs. This process utilizes pre-trained algorithms.

[0133] Step 3:

[0134] The server generates an artificial intelligence avatar based on the selected sales scenario. This avatar is multilingual and prepared to engage in conversations in the user's preferred language.

[0135] Step 4:

[0136] The terminal uses scenario data and avatar data received from the server to construct a virtual reality environment. This environment provides users with a realistic simulation of business operations.

[0137] Step 5:

[0138] Users put on a VR headset and begin sales simulations through interaction with an AI avatar in a virtual reality environment. Through practical application, users can improve their skills based on their own experience.

[0139] Step 6:

[0140] The terminal records voice and behavioral data acquired from the user in real time during the simulation. This data is sent to a server and used for analyzing the user's reactions.

[0141] Step 7:

[0142] The server analyzes voice and behavioral data using an emotion engine. This engine recognizes the user's emotions in real time and dynamically adjusts the sales scenario accordingly. For example, if the engine determines that the user is feeling tense, it will adapt its response by softening the tone of the conversation.

[0143] Step 8:

[0144] The server generates feedback that responds to the user's emotions and actions. This feedback includes specific advice on things like emotion regulation and improving conversations.

[0145] Step 9:

[0146] The device receives feedback from the server and presents it to the user. The user can then use the provided feedback to further improve their skills.

[0147] (Example 2)

[0148] 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".

[0149] Improving skills in sales and customer service often relies on real-world experience and on-the-job training, which can be inefficient. Furthermore, communicating effectively with customers from different cultures and linguistic backgrounds, and providing appropriate, emotionally-driven responses on the spot, can be challenging for some. To address these issues, a system is needed that provides more practical and emotionally responsive feedback.

[0150] 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.

[0151] In this invention, the server includes means for acquiring multiple user attributes and selecting a sales scenario based thereon; means for generating an AI character based on the selected sales scenario; means for constructing a virtual space and executing a dialogue between the user and the AI ​​character within the virtual space; and means for identifying the user's emotional state and adjusting the sales scenario based on the emotional state. This enables sales representatives to receive training in a practical environment and make improvements at a leadership level.

[0152] "User attributes" refer to information acquired by the system, such as personal information related to the user, skill level, and purpose.

[0153] A "sales scenario" refers to the sales training content that the server selects and customizes for users to experience within virtual reality.

[0154] A "machine-intelligence character" refers to a virtual person or character created using artificial intelligence that can interact with users in a variety of languages.

[0155] "Virtual space" refers to a three-dimensional virtual environment that users access through VR (virtual reality) devices.

[0156] "Voice and action information" refers to data related to the sounds made and actions performed by the user within the virtual space.

[0157] "Evaluation" refers to feedback about the user's skills and emotions, generated by the system based on voice and behavioral information.

[0158] "Emotional state" refers to the user's psychological state and emotional response, and is used by the system to identify this and adjust sales scenarios accordingly.

[0159] This invention is a training system for improving sales and customer service skills that utilizes virtual reality technology and artificial intelligence. The system consists of three main components: a server, a terminal, and a user.

[0160] The server receives attribute information provided by the user and selects and customizes sales scenarios based on it. The server incorporates advanced AI algorithms and uses a generative AI model to generate multilingual AI characters. This provides personalized training experiences tailored to specific skills and scenarios.

[0161] The terminal constructs a virtual space based on scenarios and character data transmitted from the server and displays this environment on the VR (virtual reality) device connected to the user. The terminal also plays a role in recording the user's voice and movement information in real time and transmitting it to the server. This allows the system to analyze the user's behavior in detail and generate appropriate evaluations.

[0162] By wearing a VR device, users can immerse themselves in a virtual space and train in a setting that closely resembles actual sales situations. Through interaction with an AI character, users can improve not only their sales skills but also their language abilities and cross-cultural understanding. Furthermore, technology that identifies the user's emotional state allows for learning in a relaxed environment.

[0163] For example, in a scenario where a salesperson is receiving training with customers from different cultural backgrounds, the emotion engine provides adaptive feedback that takes cultural differences into account. A concrete example of a prompt would be, "Please advise on the best way to stay relaxed during sales training."

[0164] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0165] Step 1:

[0166] Users log in to the system and enter their attribute information. This information includes desired skills, supported languages, and past experience. The entered information is collected and sent to the server. This creates a user profile in the server's database.

[0167] Step 2:

[0168] The server analyzes the received user attribute information and selects the optimal sales scenario. Using a generative AI model, it customizes a virtual training program that matches the user's objectives. Based on the input information, the AI ​​algorithm searches the database for scenarios and outputs the optimal one.

[0169] Step 3:

[0170] The server generates multilingual AI characters along with the selected sales scenarios. This is done using a generative AI model, which outputs characters whose language and behavior are adjusted based on the user's needs.

[0171] Step 4:

[0172] The device constructs a virtual space using scenario and character data sent from the server. The virtual reality environment is displayed to the user via a VR headset. In this process, the device realistically reproduces the scenario on the VR platform and combines graphics and sound to enhance user immersion.

[0173] Step 5:

[0174] Users wear a VR headset and interact with an AI character in a virtual space. This interaction allows users to practically improve their sales and cross-cultural understanding skills. Spoken words and gestures are recorded by the system.

[0175] Step 6:

[0176] The device records the user's voice and behavior information in real time and sends it to the server. This data is analyzed on the server to identify the user's emotional state. The input data is processed by an emotion engine, and an emotional state evaluation is obtained as output.

[0177] Step 7:

[0178] The server dynamically adjusts the sales scenario based on the identified emotional state. For example, if the user is stressed, the server adjusts the interaction to help them relax. As a result, a newly adjusted scenario is generated.

[0179] Step 8:

[0180] The server generates and provides specific feedback to the user. This feedback includes suggestions for improvement regarding voice tone and gestures, and outputs analysis results based on the input data. Ultimately, the user can receive this feedback and use it to improve their skills.

[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] To efficiently improve skills in customer service, realistic training that replicates actual work environments is necessary. However, learning through interaction with real customers is difficult to implement due to constraints on location and time. There is a need to solve this problem and provide an environment that maximizes the effectiveness of training.

[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 means for acquiring information on multiple users and selecting a business situation based thereon; means for generating an intelligent avatar based on the selected business situation; means for constructing a virtual environment and performing a dialogue between the user and the intelligent avatar within the virtual environment; means for recording the user's voice and movement data, analyzing it in real time, and generating an evaluation; means for presenting the generated evaluation to the user; and means for recognizing the user's emotions and using an emotion program that dynamically adapts the situation accordingly. This makes it possible to reproduce a realistic customer service situation in virtual reality and for users to hone their skills without being constrained.

[0186] "User information" refers to detailed data about individual users who are being trained in a virtual environment. This data allows for the selection of customized sales conditions.

[0187] "Business situation" refers to a situation that includes specific business activities and customer service scenarios reproduced within a virtual environment, and is a virtual reality setting for users to acquire practical skills.

[0188] An "intelligent avatar" is an interactive virtual character generated using artificial intelligence technology, capable of supporting multiple languages ​​and interacting with users in real time.

[0189] A "virtual environment" is a three-dimensional virtual space experienced by users using a head-mounted display or other devices, and it is a place that reproduces actual work scenarios.

[0190] An "emotional program" is software that analyzes the user's facial expressions and tone of voice to recognize their emotional state, and dynamically adapts and changes the business situation accordingly.

[0191] "Evaluation" refers to feedback information generated based on the user's actions and speech within the virtual environment, and includes specific suggestions and areas for improvement that contribute to the user's skill development.

[0192] The system that implements this application consists of three entities: a server, a terminal, and a user. The server has the function of collecting information from multiple users, selecting the optimal business situation based on that information, and generating an intelligent avatar. After selection, the server transmits the selected business situation and the intelligent avatar data to the terminal.

[0193] The terminal uses received data to construct a virtual environment, allowing users to experience customer service scenarios in virtual reality. Devices such as VR headsets and smart glasses are used to construct the virtual environment. Users can wear these devices and interact in real time with intelligent avatars in a three-dimensional space.

[0194] During this process, the terminal records the user's voice and behavioral data in real time and sends it to the server as information for analysis. The server uses an emotion program to analyze the user's emotions and dynamically adjusts the sales situation. Specifically, if the user is tense, the system will respond in a way that helps them relax. The generated evaluation is presented to the user as specific areas for improvement, which helps them to enhance their skills.

[0195] Furthermore, since the intelligent avatars are multilingual, it is possible to recreate customers who speak various languages ​​within a virtual environment, thereby improving cross-cultural communication capabilities. This system allows users to hone their skills without being restricted by time or location.

[0196] One concrete example is a scenario where an AI avatar guides an AI customer service agent to teach them how to be considerate of customers from different cultures. For instance, for customers who show little reaction, the AI ​​avatar can analyze their facial expressions and emotions and adjust its approach accordingly.

[0197] An example of a prompt for a generative AI model is: "Please provide feedback on the optimal tone of voice and facial expression when serving tourists. Please also include any points to consider when dealing with customers of different nationalities." Using this prompt can be expected to improve specific customer service skills.

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

[0199] Step 1:

[0200] The server collects profile information provided by users during registration. This profile information includes the user's sales skill level and languages ​​they are proficient in. Based on this data, the server performs analysis to select the most suitable sales situation for each user.

[0201] Step 2:

[0202] The server generates intelligent avatars based on selected sales conditions. Pre-prepared scenarios and multilingual voice templates are used for avatar generation. The output is avatar data tailored to the user's skills and language.

[0203] Step 3:

[0204] The server sends the generated avatar and business status data to the terminal. The terminal receives this data and begins building the virtual environment. The inputs are avatar data and business status. Based on these, the virtual reality space displayed on the VR headset or smart glasses is prepared.

[0205] Step 4:

[0206] The user accesses the virtual environment through a terminal, puts on a headset, and begins interacting with an intelligent avatar. This interaction proceeds in a format where the user interacts realistically with a virtual customer, and the user's voice and motion data are generated as output in real time.

[0207] Step 5:

[0208] The terminal records the user's voice and movement data and sends it to the server. The server uses an emotion program to analyze the input data and recognize the user's emotional state. As a result, adjustments to the business situation are made.

[0209] Step 6:

[0210] The server generates feedback tailored to the user's emotions and presents it to the user via the terminal. The generated feedback includes areas for improvement and successes, and provides audio and visual output that serves as advice for the user's next interaction.

[0211] Step 7:

[0212] Based on the feedback provided, users can continue training in the virtual environment. During this process, they can select specific scenarios or situations and retry. This allows users to repeatedly improve their skills.

[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 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] The system of this invention aims to efficiently improve sales and customer service skills. This system consists of three main elements: a server, a user terminal (including a VR device), and the user.

[0230] First, the user logs into the system and provides information such as their sales skills, areas for improvement, and preferred languages. This information is sent to the server as "user information."

[0231] Next, the server selects an appropriate "sales scenario" based on the acquired user information. The selected scenario is customized to take into account the user's strengths and weaknesses, making it possible to simulate a variety of sales situations.

[0232] Subsequently, the server generates an "artificial intelligence avatar" based on the sales scenario. This avatar is designed to engage in natural conversations with the user and utilizes a pre-trained model. In particular, it supports multiple languages, allowing users to experience the sales scenario in several languages.

[0233] Meanwhile, the user terminal receives scenario and avatar data sent from the server and constructs a "virtual reality environment." This environment provides the user with a realistic simulation of a store or office, and the user begins the experience by putting on a VR headset.

[0234] Within this virtual reality environment, users experience practical sales scenarios through interaction with an AI avatar. The device records the user's "voice and motion data" in real time and sends this data to a server. The server analyzes the received data and evaluates the user's reactions and interactions to generate specific "feedback."

[0235] The generated feedback is presented to the user via the device. This feedback specifically indicates areas for improvement, such as voice tone, response speed, and gestures. The user uses this feedback to improve their sales skills.

[0236] As a concrete example, in the case of a sales representative who needs to handle multiple languages, the server adjusts the script based on the language selected by the user and simulates interacting with customers from different cultural backgrounds. In this way, users can efficiently and practically improve their sales skills.

[0237] The following describes the processing flow.

[0238] Step 1:

[0239] Users log in to the system and enter their profile information, sales skill requirements, and preferred languages. This user information is then sent to the server.

[0240] Step 2:

[0241] The server uses an algorithm based on the received user information to select the optimal sales scenario. During the selection process, the user's strengths, weaknesses, and past experience are considered to customize the scenario to be the best fit.

[0242] Step 3:

[0243] The server generates an AI avatar based on the selected sales scenario. The avatar utilizes a pre-trained model to enable natural conversation and supports multiple languages.

[0244] Step 4:

[0245] The terminal receives scenario data and avatar data sent from the server. Using these, it constructs a virtual reality environment and presents it to the user. The virtual reality environment provides a realistic sales simulation based on the scenario.

[0246] Step 5:

[0247] Users wear a VR headset in a virtual reality environment and experience real-world sales situations by interacting with an avatar. This allows them to learn about diverse customer interactions in real time.

[0248] Step 6:

[0249] The device records voice and motion data acquired from the user in real time. The recorded data is immediately sent to the server.

[0250] Step 7:

[0251] The server analyzes received audio and motion data to evaluate user performance. Based on the analysis results, it generates feedback including specific areas for improvement.

[0252] Step 8:

[0253] The terminal displays feedback sent from the server to the user. This feedback includes specific advice for improving sales skills. The user uses this information to improve their next training session.

[0254] (Example 1)

[0255] 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."

[0256] In the process of improving sales skills, there is a need to provide an environment where users can experience realistic sales scenarios through natural, multilingual dialogues and receive appropriate feedback tailored to their individual strengths and weaknesses. Conventional systems have struggled to meet these needs, with difficulties in flexibly adjusting scenarios and generating multilingual AI conversationalists, resulting in inefficient learning.

[0257] 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.

[0258] In this invention, the server includes means for acquiring information on multiple users and selecting a sales activity scenario based on that information; means for generating a multilingual artificial intelligence (AI) dialogue partner using a generation AI model based on the selected sales scenario; and means for constructing a three-dimensional virtual environment and for the user and the AI ​​dialogue partner to conduct a dialogue within the virtual environment. This enables users to experience practical sales scenarios in a realistic simulation environment in multiple languages ​​and improve their individual sales skills through detailed feedback.

[0259] "User information" refers to data about an individual aimed at improving their sales skills, and specifically includes information such as their strengths, areas for improvement, and preferred languages ​​of use.

[0260] A "sales activity scenario" is a collection of stories and scenes that simulate various sales situations, designed for users to experience in a virtual environment and improve their sales skills.

[0261] A "generative AI model" is an artificial intelligence that learns from various data in advance to enable natural conversations with users, and it is a model that has functions such as multilingual support.

[0262] An "artificial intelligence conversationalist" is a virtual agent created by a generative AI model that has the ability to engage in natural conversation with the user.

[0263] A "three-dimensional virtual environment" is a realistic, three-dimensional space constructed for users to experience simulated sales scenarios, creating an environment where users can feel as if they are in a real store or office.

[0264] "Responses" are information generated as a result of analyzing user behavior and statements, in order to provide feedback on areas for improvement and evaluations.

[0265] This invention is a system for improving users' sales skills, and it functions through the coordinated operation of three elements: a server, a terminal, and the user. Its specific form is described below.

[0266] The server first receives user information, which includes the user's strengths in sales skills, areas for improvement, and preferred language. The server processes the received user information and selects the optimal scenario from multiple sales activity scenarios. The selection process is customized to take into account the user's characteristics and to simulate a variety of sales situations.

[0267] Next, the server generates an artificial intelligence (AI) conversationalist using a generative AI model based on the selected sales activity scenario. This conversationalist is multilingual and capable of engaging in natural conversation with the user. The generative AI model uses advanced natural language processing techniques based on previously learned data to facilitate smooth conversations.

[0268] The terminal receives scenario data and generated avatar data transmitted from the server and constructs a three-dimensional virtual environment. This virtual environment is built using a virtual reality device, and by wearing a VR headset, users can experience simulations of realistic stores and offices. Through interaction within the virtual environment, users can gain experience that simulates actual business situations.

[0269] For example, in the case of a sales representative who needs to support multiple languages, the server adjusts the sales script according to the language selected by the user, providing sales scenarios for customers with different cultural backgrounds, such as English or French. An example of a prompt in this case would be, "Please create a sales scenario in Japanese and generate an avatar that can also communicate in English and French."

[0270] Through the above process, users will be able to improve their sales skills in a more practical and effective way.

[0271] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0272] Step 1:

[0273] Users input their sales skills, areas for improvement, and preferred languages ​​through a terminal. The terminal aggregates this data and sends it to the server as "user information." During this process, the user interface includes an input assistance function to encourage accurate information entry.

[0274] Step 2:

[0275] The server analyzes the received user information and selects the most suitable sales activity scenario from the database. Using an AI algorithm, it considers the user's strengths and weaknesses based on the input user information, customizing and outputting an appropriate sales scenario. The server is equipped with a high-speed computing engine to assist in rapid processing.

[0276] Step 3:

[0277] The server sends a prompt to the generating AI model based on the selected sales activity scenario, generating an artificial intelligence conversationalist. This prompt is something like, "Generate a multilingual conversationalist based on the selected scenario." The generating AI model uses this input to output conversationalist data using natural language processing techniques.

[0278] Step 4:

[0279] The terminal receives customized scenario data and generated avatar data sent from the server, and constructs a three-dimensional virtual environment. This virtual environment is constructed using a VR device, providing the user with a realistically reproduced space of a virtual store or office. The user can then put on a VR headset and begin the experience.

[0280] Step 5:

[0281] The user experiences a business activity scenario through interaction with an AI interlocutor within a virtual environment. The terminal records the voice and motion information during the interaction in real time. The recorded data is transmitted from the terminal to the server, where the data is analyzed using a voice recognition engine and a motion analysis algorithm to evaluate the user's responses.

[0282] Step 6:

[0283] Based on the analysis results, the server generates specific feedback for the user. The feedback includes improvement points such as the tone of voice, speech speed, and gestures, and is generated as output. The terminal presents this feedback to the user, and the user can consider specific actions for improving business skills based on this.

[0284] (Application Example 1)

[0285] 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".

[0286] In existing business and customer service skill improvement systems, it is difficult for users to effectively experience real scenarios in a virtual environment. There are also limitations in providing diverse product information and improving the purchasing experience. In particular, due to the lack of user support in multi-language scenarios, it is necessary to solve the problem of being unable to fully handle international purchasing behaviors.

[0287] 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.

[0288] In this invention, the server includes means for acquiring multiple user information and selecting a sales scenario based thereon; means for generating an intelligent system avatar based on the selected sales scenario; means for constructing a virtual environment and executing a dialogue between the user and the intelligent system avatar within the virtual environment; and means for guiding the user's purchasing experience using the intelligent system avatar to provide product information or suggestions. This enables users to improve their practical sales skills and purchasing experience in a realistic virtual store environment through natural dialogue in multiple languages.

[0289] "User information" refers to individual data about a user, such as their profile, intentions, and preferred languages.

[0290] A "sales scenario" is a set of situations and scenarios within a virtual sales environment designed to improve the user's skills.

[0291] An "intelligent system avatar" is a virtual character created using artificial intelligence technology that can interact naturally with the user.

[0292] A "virtual environment" is a computer-generated environment that uses virtual reality technology to provide users with an experience that is as close to reality as possible.

[0293] "Voice and motion information" refers to the user's voice data and data related to their body movements.

[0294] "Feedback" refers to information about areas for improvement and advice generated based on user interaction.

[0295] "Product information refers to detailed information about the products and services offered by the intelligent system avatar."

[0296] The "purchase experience" refers to the entire experience a user goes through when selecting and purchasing a product or service.

[0297] This invention presents a system for constructing a multilingual virtual environment using an intelligent system avatar in order to improve the user's sales and purchasing experience. The system mainly consists of a server, a user terminal, and an intelligent system avatar.

[0298] The server collects voice and behavioral information from the user and selects an appropriate sales scenario based on this information. Based on the selected scenario, the server generates an intelligent system avatar and simulates various scenarios within a virtual environment. This allows the user to hone their sales skills through realistic interactions.

[0299] The user terminal creates a virtual environment using a VR device such as the Oculus Quest 2. Through the terminal, the user interacts with an intelligent system avatar and receives product information and suggestions. The user's voice and movement information collected by the terminal is transmitted to the server in real time, and the intelligent system avatar provides dynamic feedback.

[0300] The software supporting this entire system includes Unity for creating virtual environments, Python for speech and text processing, and generative AI models for natural language processing (e.g., OpenAI GPT-4). This allows users to experience a natural, multilingual conversational environment.

[0301] A concrete example would be a scenario where a Japanese user visits a virtual French wine shop and receives detailed information and recommendations about French wines from an intelligent system avatar. In this case, an example of a prompt might be, "Please write a script that suggests a suitable wine when the user prefers red wine and is looking for a French wine within a budget of 5000 yen."

[0302] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0303] Step 1:

[0304] The user logs in to the terminal and enters personal information, desired conditions, and the language to be used. The entered information is sent from the terminal to the server and stored in the server as user information. Using this information, the server grasps the user's needs.

[0305] Step 2:

[0306] Based on the received user information, the server selects an appropriate sales scenario. The server selects the optimal scenario from the scenarios in the database and obtains the related data by filtering. The selected scenario matches the user's status.

[0307] Step 3:

[0308] Based on the selected sales scenario, the server generates an intelligent system avatar. Using a generated AI model, a multilingual conversation script suitable for the scenario is created. As a result, an avatar that allows the user to have a realistic conversation experience is output.

[0309] Step 4:

[0310] The server sends the generated scenario and avatar data to the terminal. The terminal receives the data and constructs a virtual environment using Unity. This environment performs rendering in order to realistically reproduce the place where the user experiences.

[0311] Step 5:

[0312] The user uses a VR device to access the virtual environment and starts a conversation with the intelligent system avatar. The terminal records the user's voice and motion data in real time and sends this data to the server. The server analyzes the received data by voice recognition and motion analysis.

[0313] Step 6:

[0314] The server generates feedback on user interaction based on the analysis results. It uses a Python data processing library to evaluate voice tone, gestures, and response speed. The generated feedback provides users with specific suggestions for improvement.

[0315] Step 7:

[0316] The server sends the generated feedback to the terminal, which then presents it to the user. Based on the feedback, the user can adjust their actions and continue training to acquire more effective sales skills.

[0317] 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.

[0318] This invention relates to a virtual reality training system for efficiently improving skills in sales and customer service operations. The system consists of three main elements: a server, a user terminal (including a virtual reality device), and the user, and further includes an emotion engine that recognizes the user's emotions and enables appropriate responses.

[0319] First, the user logs into the system and provides user information, including profile information, desired sales skills, and supported languages. This information is received by the server and used to select an appropriate sales scenario. Based on the user information, the server selects the optimal sales scenario and further customizes it to the user's needs. Based on the selected scenario, a multilingual AI avatar is generated.

[0320] The user terminal uses scenarios and avatar data received from the server to construct a virtual reality environment. In this environment, the user wears a VR headset and can experience a realistic sales situation. Within this scenario, the user can interact with an AI avatar and hone their skills through practical training.

[0321] The user's speech and actions during the experience are recorded in real time on the device. This data is sent to a server, where an emotion engine analyzes it to recognize the user's emotions. Based on these recognized emotions, the sales scenario is dynamically adjusted. For example, if the user is nervous, the system can adapt accordingly by providing a more relaxed response.

[0322] The server further generates and provides feedback that takes into account the user's emotional state. This feedback includes specific advice on individual emotional responses, such as areas for improvement in tone of voice, facial expressions, and gestures. This allows users to aim for improvement in advanced customer service skills, including emotional aspects.

[0323] As a concrete example, when sales representatives experience scenarios involving customers from diverse cultural backgrounds, utilizing the emotion engine can hone their communication skills across language and cultural barriers. Users can learn more effective response methods while becoming more aware of their own emotions.

[0324] The following describes the processing flow.

[0325] Step 1:

[0326] Users log into the system and enter their profile information, preferred scenarios, and supported languages ​​for training aimed at improving their sales skills. This information is then sent to the server.

[0327] Step 2:

[0328] The server selects an appropriate sales scenario based on the received user information. The selection process analyzes the user's strengths and weaknesses and customizes the scenario to meet individual needs. This process utilizes pre-trained algorithms.

[0329] Step 3:

[0330] The server generates an artificial intelligence avatar based on the selected sales scenario. This avatar is multilingual and prepared to engage in conversations in the user's preferred language.

[0331] Step 4:

[0332] The terminal uses scenario data and avatar data received from the server to construct a virtual reality environment. This environment provides users with a realistic simulation of business operations.

[0333] Step 5:

[0334] Users put on a VR headset and begin sales simulations through interaction with an AI avatar in a virtual reality environment. Through practical application, users can improve their skills based on their own experience.

[0335] Step 6:

[0336] The terminal records voice and behavioral data acquired from the user in real time during the simulation. This data is sent to a server and used for analyzing the user's reactions.

[0337] Step 7:

[0338] The server analyzes voice and behavioral data using an emotion engine. This engine recognizes the user's emotions in real time and dynamically adjusts the sales scenario accordingly. For example, if the engine determines that the user is feeling tense, it will adapt its response by softening the tone of the conversation.

[0339] Step 8:

[0340] The server generates feedback that responds to the user's emotions and actions. This feedback includes specific advice on things like emotion regulation and improving conversations.

[0341] Step 9:

[0342] The device receives feedback from the server and presents it to the user. The user can then use the provided feedback to further improve their skills.

[0343] (Example 2)

[0344] 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".

[0345] Improving skills in sales and customer service often relies on real-world experience and on-the-job training, which can be inefficient. Furthermore, communicating effectively with customers from different cultures and linguistic backgrounds, and providing appropriate, emotionally-driven responses on the spot, can be challenging for some. To address these issues, a system is needed that provides more practical and emotionally responsive feedback.

[0346] 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.

[0347] In this invention, the server includes means for acquiring multiple user attributes and selecting a sales scenario based thereon; means for generating an AI character based on the selected sales scenario; means for constructing a virtual space and executing a dialogue between the user and the AI ​​character within the virtual space; and means for identifying the user's emotional state and adjusting the sales scenario based on the emotional state. This enables sales representatives to receive training in a practical environment and make improvements at a leadership level.

[0348] "User attributes" refer to information acquired by the system, such as personal information related to the user, skill level, and purpose.

[0349] A "sales scenario" refers to the sales training content that the server selects and customizes for users to experience within virtual reality.

[0350] A "machine-intelligence character" refers to a virtual person or character created using artificial intelligence that can interact with users in a variety of languages.

[0351] "Virtual space" refers to a three-dimensional virtual environment that users access through VR (virtual reality) devices.

[0352] "Voice and action information" refers to data related to the sounds made and actions performed by the user within the virtual space.

[0353] "Evaluation" refers to feedback about the user's skills and emotions, generated by the system based on voice and behavioral information.

[0354] "Emotional state" refers to the user's psychological state and emotional response, and is used by the system to identify this and adjust sales scenarios accordingly.

[0355] This invention is a training system for improving sales and customer service skills that utilizes virtual reality technology and artificial intelligence. The system consists of three main components: a server, a terminal, and a user.

[0356] The server receives attribute information provided by the user and selects and customizes sales scenarios based on it. The server incorporates advanced AI algorithms and uses a generative AI model to generate multilingual AI characters. This provides personalized training experiences tailored to specific skills and scenarios.

[0357] The terminal constructs a virtual space based on scenarios and character data transmitted from the server and displays this environment on the VR (virtual reality) device connected to the user. The terminal also plays a role in recording the user's voice and movement information in real time and transmitting it to the server. This allows the system to analyze the user's behavior in detail and generate appropriate evaluations.

[0358] By wearing a VR device, users can immerse themselves in a virtual space and train in a setting that closely resembles actual sales situations. Through interaction with an AI character, users can improve not only their sales skills but also their language abilities and cross-cultural understanding. Furthermore, technology that identifies the user's emotional state allows for learning in a relaxed environment.

[0359] For example, in a scenario where a salesperson is receiving training with customers from different cultural backgrounds, the emotion engine provides adaptive feedback that takes cultural differences into account. A concrete example of a prompt would be, "Please advise on the best way to stay relaxed during sales training."

[0360] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0361] Step 1:

[0362] Users log in to the system and enter their attribute information. This information includes desired skills, supported languages, and past experience. The entered information is collected and sent to the server. This creates a user profile in the server's database.

[0363] Step 2:

[0364] The server analyzes the received user attribute information and selects the optimal sales scenario. Using a generative AI model, it customizes a virtual training program that matches the user's objectives. Based on the input information, the AI ​​algorithm searches the database for scenarios and outputs the optimal one.

[0365] Step 3:

[0366] The server generates multilingual AI characters along with the selected sales scenarios. This is done using a generative AI model, which outputs characters whose language and behavior are adjusted based on the user's needs.

[0367] Step 4:

[0368] The device constructs a virtual space using scenario and character data sent from the server. The virtual reality environment is displayed to the user via a VR headset. In this process, the device realistically reproduces the scenario on the VR platform and combines graphics and sound to enhance user immersion.

[0369] Step 5:

[0370] Users wear a VR headset and interact with an AI character in a virtual space. This interaction allows users to practically improve their sales and cross-cultural understanding skills. Spoken words and gestures are recorded by the system.

[0371] Step 6:

[0372] The device records the user's voice and behavior information in real time and sends it to the server. This data is analyzed on the server to identify the user's emotional state. The input data is processed by an emotion engine, and an emotional state evaluation is obtained as output.

[0373] Step 7:

[0374] The server dynamically adjusts the sales scenario based on the identified emotional state. For example, if the user is stressed, the server adjusts the interaction to help them relax. As a result, a newly adjusted scenario is generated.

[0375] Step 8:

[0376] The server generates and provides specific feedback to the user. This feedback includes suggestions for improvement regarding voice tone and gestures, and outputs analysis results based on the input data. Ultimately, the user can receive this feedback and use it to improve their skills.

[0377] (Application Example 2)

[0378] 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."

[0379] To efficiently improve skills in customer service, realistic training that replicates actual work environments is necessary. However, learning through interaction with real customers is difficult to implement due to constraints on location and time. There is a need to solve this problem and provide an environment that maximizes the effectiveness of training.

[0380] 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.

[0381] In this invention, the server includes means for acquiring information on multiple users and selecting a business situation based thereon; means for generating an intelligent avatar based on the selected business situation; means for constructing a virtual environment and performing a dialogue between the user and the intelligent avatar within the virtual environment; means for recording the user's voice and movement data, analyzing it in real time, and generating an evaluation; means for presenting the generated evaluation to the user; and means for recognizing the user's emotions and using an emotion program that dynamically adapts the situation accordingly. This makes it possible to reproduce a realistic customer service situation in virtual reality and for users to hone their skills without being constrained.

[0382] "User information" refers to detailed data about individual users who are being trained in a virtual environment. This data allows for the selection of customized sales conditions.

[0383] "Business situation" refers to a situation that includes specific business activities and customer service scenarios reproduced within a virtual environment, and is a virtual reality setting for users to acquire practical skills.

[0384] An "intelligent avatar" is an interactive virtual character generated using artificial intelligence technology, capable of supporting multiple languages ​​and interacting with users in real time.

[0385] A "virtual environment" is a three-dimensional virtual space experienced by users using a head-mounted display or other devices, and it is a place that reproduces actual work scenarios.

[0386] An "emotional program" is software that analyzes the user's facial expressions and tone of voice to recognize their emotional state, and dynamically adapts and changes the business situation accordingly.

[0387] "Evaluation" refers to feedback information generated based on the user's actions and speech within the virtual environment, and includes specific suggestions and areas for improvement that contribute to the user's skill development.

[0388] The system that implements this application consists of three entities: a server, a terminal, and a user. The server has the function of collecting information from multiple users, selecting the optimal business situation based on that information, and generating an intelligent avatar. After selection, the server transmits the selected business situation and the intelligent avatar data to the terminal.

[0389] The terminal uses received data to construct a virtual environment, allowing users to experience customer service scenarios in virtual reality. Devices such as VR headsets and smart glasses are used to construct the virtual environment. Users can wear these devices and interact in real time with intelligent avatars in a three-dimensional space.

[0390] During this process, the terminal records the user's voice and behavioral data in real time and sends it to the server as information for analysis. The server uses an emotion program to analyze the user's emotions and dynamically adjusts the sales situation. Specifically, if the user is tense, the system will respond in a way that helps them relax. The generated evaluation is presented to the user as specific areas for improvement, which helps them to enhance their skills.

[0391] Furthermore, since the intelligent avatars are multilingual, it is possible to recreate customers who speak various languages ​​within a virtual environment, thereby improving cross-cultural communication capabilities. This system allows users to hone their skills without being restricted by time or location.

[0392] One concrete example is a scenario where an AI avatar guides an AI customer service agent to teach them how to be considerate of customers from different cultures. For instance, for customers who show little reaction, the AI ​​avatar can analyze their facial expressions and emotions and adjust its approach accordingly.

[0393] An example of a prompt for a generative AI model is: "Please provide feedback on the optimal tone of voice and facial expression when serving tourists. Please also include any points to consider when dealing with customers of different nationalities." Using this prompt can be expected to improve specific customer service skills.

[0394] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0395] Step 1:

[0396] The server collects profile information provided by users during registration. This profile information includes the user's sales skill level and languages ​​they are proficient in. Based on this data, the server performs analysis to select the most suitable sales situation for each user.

[0397] Step 2:

[0398] The server generates intelligent avatars based on selected sales conditions. Pre-prepared scenarios and multilingual voice templates are used for avatar generation. The output is avatar data tailored to the user's skills and language.

[0399] Step 3:

[0400] The server sends the generated avatar and business status data to the terminal. The terminal receives this data and begins building the virtual environment. The inputs are avatar data and business status. Based on these, the virtual reality space displayed on the VR headset or smart glasses is prepared.

[0401] Step 4:

[0402] The user accesses the virtual environment through a terminal, puts on a headset, and begins interacting with an intelligent avatar. This interaction proceeds in a format where the user interacts realistically with a virtual customer, and the user's voice and motion data are generated as output in real time.

[0403] Step 5:

[0404] The terminal records the user's voice and movement data and sends it to the server. The server uses an emotion program to analyze the input data and recognize the user's emotional state. As a result, adjustments to the business situation are made.

[0405] Step 6:

[0406] The server generates feedback tailored to the user's emotions and presents it to the user via the terminal. The generated feedback includes areas for improvement and successes, and provides audio and visual output that serves as advice for the user's next interaction.

[0407] Step 7:

[0408] Based on the feedback provided, users can continue training in the virtual environment. During this process, they can select specific scenarios or situations and retry. This allows users to repeatedly improve their skills.

[0409] 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.

[0410] 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.

[0411] 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.

[0412] [Third Embodiment]

[0413] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0414] 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.

[0415] 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).

[0416] 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.

[0417] 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.

[0418] 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).

[0419] 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.

[0420] 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.

[0421] 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.

[0422] 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.

[0423] 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.

[0424] 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".

[0425] The system of this invention aims to efficiently improve sales and customer service skills. This system consists of three main elements: a server, a user terminal (including a VR device), and the user.

[0426] First, the user logs into the system and provides information such as their sales skills, areas for improvement, and preferred languages. This information is sent to the server as "user information."

[0427] Next, the server selects an appropriate "sales scenario" based on the acquired user information. The selected scenario is customized to take into account the user's strengths and weaknesses, making it possible to simulate a variety of sales situations.

[0428] Subsequently, the server generates an "artificial intelligence avatar" based on the sales scenario. This avatar is designed to engage in natural conversations with the user and utilizes a pre-trained model. In particular, it supports multiple languages, allowing users to experience the sales scenario in several languages.

[0429] Meanwhile, the user terminal receives scenario and avatar data sent from the server and constructs a "virtual reality environment." This environment provides the user with a realistic simulation of a store or office, and the user begins the experience by putting on a VR headset.

[0430] Within this virtual reality environment, users experience practical sales scenarios through interaction with an AI avatar. The device records the user's "voice and motion data" in real time and sends this data to a server. The server analyzes the received data and evaluates the user's reactions and interactions to generate specific "feedback."

[0431] The generated feedback is presented to the user via the device. This feedback specifically indicates areas for improvement, such as voice tone, response speed, and gestures. The user uses this feedback to improve their sales skills.

[0432] As a concrete example, in the case of a sales representative who needs to handle multiple languages, the server adjusts the script based on the language selected by the user and simulates interacting with customers from different cultural backgrounds. In this way, users can efficiently and practically improve their sales skills.

[0433] The following describes the processing flow.

[0434] Step 1:

[0435] Users log in to the system and enter their profile information, sales skill requirements, and preferred languages. This user information is then sent to the server.

[0436] Step 2:

[0437] The server uses an algorithm based on the received user information to select the optimal sales scenario. During the selection process, the user's strengths, weaknesses, and past experience are considered to customize the scenario to be the best fit.

[0438] Step 3:

[0439] The server generates an AI avatar based on the selected sales scenario. The avatar utilizes a pre-trained model to enable natural conversation and supports multiple languages.

[0440] Step 4:

[0441] The terminal receives scenario data and avatar data sent from the server. Using these, it constructs a virtual reality environment and presents it to the user. The virtual reality environment provides a realistic sales simulation based on the scenario.

[0442] Step 5:

[0443] Users wear a VR headset in a virtual reality environment and experience real-world sales situations by interacting with an avatar. This allows them to learn about diverse customer interactions in real time.

[0444] Step 6:

[0445] The device records voice and motion data acquired from the user in real time. The recorded data is immediately sent to the server.

[0446] Step 7:

[0447] The server analyzes received audio and motion data to evaluate user performance. Based on the analysis results, it generates feedback including specific areas for improvement.

[0448] Step 8:

[0449] The terminal displays feedback sent from the server to the user. This feedback includes specific advice for improving sales skills. The user uses this information to improve their next training session.

[0450] (Example 1)

[0451] 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."

[0452] In the process of improving sales skills, there is a need to provide an environment where users can experience realistic sales scenarios through natural, multilingual dialogues and receive appropriate feedback tailored to their individual strengths and weaknesses. Conventional systems have struggled to meet these needs, with difficulties in flexibly adjusting scenarios and generating multilingual AI conversationalists, resulting in inefficient learning.

[0453] 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.

[0454] In this invention, the server includes means for acquiring information on multiple users and selecting a sales activity scenario based on that information; means for generating a multilingual artificial intelligence (AI) dialogue partner using a generation AI model based on the selected sales scenario; and means for constructing a three-dimensional virtual environment and for the user and the AI ​​dialogue partner to conduct a dialogue within the virtual environment. This enables users to experience practical sales scenarios in a realistic simulation environment in multiple languages ​​and improve their individual sales skills through detailed feedback.

[0455] "User information" refers to data about an individual aimed at improving their sales skills, and specifically includes information such as their strengths, areas for improvement, and preferred languages ​​of use.

[0456] A "sales activity scenario" is a collection of stories and scenes that simulate various sales situations, designed for users to experience in a virtual environment and improve their sales skills.

[0457] A "generative AI model" is an artificial intelligence that learns from various data in advance to enable natural conversations with users, and it is a model that has functions such as multilingual support.

[0458] An "artificial intelligence conversationalist" is a virtual agent created by a generative AI model that has the ability to engage in natural conversation with the user.

[0459] A "three-dimensional virtual environment" is a realistic, three-dimensional space constructed for users to experience simulated sales scenarios, creating an environment where users can feel as if they are in a real store or office.

[0460] "Responses" are information generated as a result of analyzing user behavior and statements, in order to provide feedback on areas for improvement and evaluations.

[0461] This invention is a system for improving users' sales skills, and it functions through the coordinated operation of three elements: a server, a terminal, and the user. Its specific form is described below.

[0462] The server first receives user information, which includes the user's strengths in sales skills, areas for improvement, and preferred language. The server processes the received user information and selects the optimal scenario from multiple sales activity scenarios. The selection process is customized to take into account the user's characteristics and to simulate a variety of sales situations.

[0463] Next, the server generates an artificial intelligence (AI) conversationalist using a generative AI model based on the selected sales activity scenario. This conversationalist is multilingual and capable of engaging in natural conversation with the user. The generative AI model uses advanced natural language processing techniques based on previously learned data to facilitate smooth conversations.

[0464] The terminal receives scenario data and generated avatar data transmitted from the server and constructs a three-dimensional virtual environment. This virtual environment is built using a virtual reality device, and by wearing a VR headset, users can experience simulations of realistic stores and offices. Through interaction within the virtual environment, users can gain experience that simulates actual business situations.

[0465] For example, in the case of a sales representative who needs to support multiple languages, the server adjusts the sales script according to the language selected by the user, providing sales scenarios for customers with different cultural backgrounds, such as English or French. An example of a prompt in this case would be, "Please create a sales scenario in Japanese and generate an avatar that can also communicate in English and French."

[0466] Through the above process, users will be able to improve their sales skills in a more practical and effective way.

[0467] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0468] Step 1:

[0469] Users input their sales skills, areas for improvement, and preferred languages ​​through a terminal. The terminal aggregates this data and sends it to the server as "user information." During this process, the user interface includes an input assistance function to encourage accurate information entry.

[0470] Step 2:

[0471] The server analyzes the received user information and selects the most suitable sales activity scenario from the database. Using an AI algorithm, it considers the user's strengths and weaknesses based on the input user information, customizing and outputting an appropriate sales scenario. The server is equipped with a high-speed computing engine to assist in rapid processing.

[0472] Step 3:

[0473] The server sends a prompt to the generating AI model based on the selected sales activity scenario, generating an artificial intelligence conversationalist. This prompt is something like, "Generate a multilingual conversationalist based on the selected scenario." The generating AI model uses this input to output conversationalist data using natural language processing techniques.

[0474] Step 4:

[0475] The terminal receives customized scenario data and generated avatar data sent from the server, and constructs a three-dimensional virtual environment. This virtual environment is constructed using a VR device, providing the user with a realistically reproduced space of a virtual store or office. The user can then put on a VR headset and begin the experience.

[0476] Step 5:

[0477] The user experiences sales activity scenarios through dialogue with an AI interlocutor in a virtual environment. The terminal records voice and motion information during the dialogue in real time. The recorded data is sent from the terminal to a server, where the server analyzes the data using a speech recognition engine and motion analysis algorithms to evaluate the user's responses.

[0478] Step 6:

[0479] The server generates specific feedback for the user based on the analysis results. This feedback includes areas for improvement such as voice tone, speaking speed, and gestures, and is generated as output. The terminal presents this feedback to the user, who can then consider specific actions to improve their sales skills based on it.

[0480] (Application Example 1)

[0481] 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."

[0482] Existing sales and customer service skill improvement systems struggle to effectively simulate real-world scenarios within a virtual environment. They also have limitations in providing diverse product information and enhancing the purchasing experience. In particular, the lack of multilingual user support prevents them from adequately addressing international purchasing behavior, and this issue needs to be resolved.

[0483] 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.

[0484] In this invention, the server includes means for acquiring multiple user information and selecting a sales scenario based thereon; means for generating an intelligent system avatar based on the selected sales scenario; means for constructing a virtual environment and executing a dialogue between the user and the intelligent system avatar within the virtual environment; and means for guiding the user's purchasing experience using the intelligent system avatar to provide product information or suggestions. This enables users to improve their practical sales skills and purchasing experience in a realistic virtual store environment through natural dialogue in multiple languages.

[0485] "User information" refers to individual data about a user, such as their profile, intentions, and preferred languages.

[0486] A "sales scenario" is a set of situations and scenarios within a virtual sales environment designed to improve the user's skills.

[0487] An "intelligent system avatar" is a virtual character created using artificial intelligence technology that can interact naturally with the user.

[0488] A "virtual environment" is a computer-generated environment that uses virtual reality technology to provide users with an experience that is as close to reality as possible.

[0489] "Voice and motion information" refers to the user's voice data and data related to their body movements.

[0490] "Feedback" refers to information about areas for improvement and advice generated based on user interaction.

[0491] "Product information refers to detailed information about the products and services offered by the intelligent system avatar."

[0492] The "purchase experience" refers to the entire experience a user goes through when selecting and purchasing a product or service.

[0493] This invention presents a system for constructing a multilingual virtual environment using an intelligent system avatar in order to improve the user's sales and purchasing experience. The system mainly consists of a server, a user terminal, and an intelligent system avatar.

[0494] The server collects voice and behavioral information from the user and selects an appropriate sales scenario based on this information. Based on the selected scenario, the server generates an intelligent system avatar and simulates various scenarios within a virtual environment. This allows the user to hone their sales skills through realistic interactions.

[0495] The user terminal creates a virtual environment using a VR device such as the Oculus Quest 2. Through the terminal, the user interacts with an intelligent system avatar and receives product information and suggestions. The user's voice and movement information collected by the terminal is transmitted to the server in real time, and the intelligent system avatar provides dynamic feedback.

[0496] The software supporting this entire system includes Unity for creating virtual environments, Python for speech and text processing, and generative AI models for natural language processing (e.g., OpenAI GPT-4). This allows users to experience a natural, multilingual conversational environment.

[0497] A concrete example would be a scenario where a Japanese user visits a virtual French wine shop and receives detailed information and recommendations about French wines from an intelligent system avatar. In this case, an example of a prompt might be, "Please write a script that suggests a suitable wine when the user prefers red wine and is looking for a French wine within a budget of 5000 yen."

[0498] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0499] Step 1:

[0500] The user logs in to the terminal and enters personal information, preferences, and preferred language. The entered information is sent from the terminal to the server and stored on the server as user information. The server uses this information to understand the user's needs.

[0501] Step 2:

[0502] The server selects an appropriate sales scenario based on the received user information. The server chooses the best scenario from the database and retrieves related data through filtering. The selected scenario is tailored to the user's current state.

[0503] Step 3:

[0504] Based on the selected sales scenario, the server generates an intelligent system avatar. Using the generation AI model, it creates multilingual conversation scripts tailored to the scenario. This results in an avatar that provides users with a realistic conversational experience.

[0505] Step 4:

[0506] The server sends the generated scenario and avatar data to the device. The device receives this data and uses Unity to build a virtual environment. This environment is rendered to realistically reproduce the space the user will experience.

[0507] Step 5:

[0508] The user accesses a virtual environment using a VR device and begins interacting with an intelligent system avatar. The device records the user's voice and motion data in real time and sends this data to a server. The server analyzes the received data using speech recognition and motion analysis.

[0509] Step 6:

[0510] The server generates feedback on user interaction based on the analysis results. It uses a Python data processing library to evaluate voice tone, gestures, and response speed. The generated feedback provides users with specific suggestions for improvement.

[0511] Step 7:

[0512] The server sends the generated feedback to the terminal, which then presents it to the user. Based on the feedback, the user can adjust their actions and continue training to acquire more effective sales skills.

[0513] 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.

[0514] This invention relates to a virtual reality training system for efficiently improving skills in sales and customer service operations. The system consists of three main elements: a server, a user terminal (including a virtual reality device), and the user, and further includes an emotion engine that recognizes the user's emotions and enables appropriate responses.

[0515] First, the user logs into the system and provides user information, including profile information, desired sales skills, and supported languages. This information is received by the server and used to select an appropriate sales scenario. Based on the user information, the server selects the optimal sales scenario and further customizes it to the user's needs. Based on the selected scenario, a multilingual AI avatar is generated.

[0516] The user terminal uses scenarios and avatar data received from the server to construct a virtual reality environment. In this environment, the user wears a VR headset and can experience a realistic sales situation. Within this scenario, the user can interact with an AI avatar and hone their skills through practical training.

[0517] The user's speech and actions during the experience are recorded in real time on the device. This data is sent to a server, where an emotion engine analyzes it to recognize the user's emotions. Based on these recognized emotions, the sales scenario is dynamically adjusted. For example, if the user is nervous, the system can adapt accordingly by providing a more relaxed response.

[0518] The server further generates and provides feedback that takes into account the user's emotional state. This feedback includes specific advice on individual emotional responses, such as areas for improvement in tone of voice, facial expressions, and gestures. This allows users to aim for improvement in advanced customer service skills, including emotional aspects.

[0519] As a concrete example, when sales representatives experience scenarios involving customers from diverse cultural backgrounds, utilizing the emotion engine can hone their communication skills across language and cultural barriers. Users can learn more effective response methods while becoming more aware of their own emotions.

[0520] The following describes the processing flow.

[0521] Step 1:

[0522] Users log into the system and enter their profile information, preferred scenarios, and supported languages ​​for training aimed at improving their sales skills. This information is then sent to the server.

[0523] Step 2:

[0524] The server selects an appropriate sales scenario based on the received user information. The selection process analyzes the user's strengths and weaknesses and customizes the scenario to meet individual needs. This process utilizes pre-trained algorithms.

[0525] Step 3:

[0526] The server generates an artificial intelligence avatar based on the selected sales scenario. This avatar is multilingual and prepared to engage in conversations in the user's preferred language.

[0527] Step 4:

[0528] The terminal uses scenario data and avatar data received from the server to construct a virtual reality environment. This environment provides users with a realistic simulation of business operations.

[0529] Step 5:

[0530] Users put on a VR headset and begin sales simulations through interaction with an AI avatar in a virtual reality environment. Through practical application, users can improve their skills based on their own experience.

[0531] Step 6:

[0532] The terminal records voice and behavioral data acquired from the user in real time during the simulation. This data is sent to a server and used for analyzing the user's reactions.

[0533] Step 7:

[0534] The server analyzes voice and behavioral data using an emotion engine. This engine recognizes the user's emotions in real time and dynamically adjusts the sales scenario accordingly. For example, if the engine determines that the user is feeling tense, it will adapt its response by softening the tone of the conversation.

[0535] Step 8:

[0536] The server generates feedback that responds to the user's emotions and actions. This feedback includes specific advice on things like emotion regulation and improving conversations.

[0537] Step 9:

[0538] The device receives feedback from the server and presents it to the user. The user can then use the provided feedback to further improve their skills.

[0539] (Example 2)

[0540] 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."

[0541] Improving skills in sales and customer service often relies on real-world experience and on-the-job training, which can be inefficient. Furthermore, communicating effectively with customers from different cultures and linguistic backgrounds, and providing appropriate, emotionally-driven responses on the spot, can be challenging for some. To address these issues, a system is needed that provides more practical and emotionally responsive feedback.

[0542] 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.

[0543] In this invention, the server includes means for acquiring multiple user attributes and selecting a sales scenario based thereon; means for generating an AI character based on the selected sales scenario; means for constructing a virtual space and executing a dialogue between the user and the AI ​​character within the virtual space; and means for identifying the user's emotional state and adjusting the sales scenario based on the emotional state. This enables sales representatives to receive training in a practical environment and make improvements at a leadership level.

[0544] "User attributes" refer to information acquired by the system, such as personal information related to the user, skill level, and purpose.

[0545] A "sales scenario" refers to the sales training content that the server selects and customizes for users to experience within virtual reality.

[0546] A "machine-intelligence character" refers to a virtual person or character created using artificial intelligence that can interact with users in a variety of languages.

[0547] "Virtual space" refers to a three-dimensional virtual environment that users access through VR (virtual reality) devices.

[0548] "Voice and action information" refers to data related to the sounds made and actions performed by the user within the virtual space.

[0549] "Evaluation" refers to feedback about the user's skills and emotions, generated by the system based on voice and behavioral information.

[0550] "Emotional state" refers to the user's psychological state and emotional response, and is used by the system to identify this and adjust sales scenarios accordingly.

[0551] This invention is a training system for improving sales and customer service skills that utilizes virtual reality technology and artificial intelligence. The system consists of three main components: a server, a terminal, and a user.

[0552] The server receives attribute information provided by the user and selects and customizes sales scenarios based on it. The server incorporates advanced AI algorithms and uses a generative AI model to generate multilingual AI characters. This provides personalized training experiences tailored to specific skills and scenarios.

[0553] The terminal constructs a virtual space based on scenarios and character data transmitted from the server and displays this environment on the VR (virtual reality) device connected to the user. The terminal also plays a role in recording the user's voice and movement information in real time and transmitting it to the server. This allows the system to analyze the user's behavior in detail and generate appropriate evaluations.

[0554] By wearing a VR device, users can immerse themselves in a virtual space and train in a setting that closely resembles actual sales situations. Through interaction with an AI character, users can improve not only their sales skills but also their language abilities and cross-cultural understanding. Furthermore, technology that identifies the user's emotional state allows for learning in a relaxed environment.

[0555] For example, in a scenario where a salesperson is receiving training with customers from different cultural backgrounds, the emotion engine provides adaptive feedback that takes cultural differences into account. A concrete example of a prompt would be, "Please advise on the best way to stay relaxed during sales training."

[0556] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0557] Step 1:

[0558] Users log in to the system and enter their attribute information. This information includes desired skills, supported languages, and past experience. The entered information is collected and sent to the server. This creates a user profile in the server's database.

[0559] Step 2:

[0560] The server analyzes the received user attribute information and selects the optimal sales scenario. Using a generative AI model, it customizes a virtual training program that matches the user's objectives. Based on the input information, the AI ​​algorithm searches the database for scenarios and outputs the optimal one.

[0561] Step 3:

[0562] The server generates multilingual AI characters along with the selected sales scenarios. This is done using a generative AI model, which outputs characters whose language and behavior are adjusted based on the user's needs.

[0563] Step 4:

[0564] The device constructs a virtual space using scenario and character data sent from the server. The virtual reality environment is displayed to the user via a VR headset. In this process, the device realistically reproduces the scenario on the VR platform and combines graphics and sound to enhance user immersion.

[0565] Step 5:

[0566] Users wear a VR headset and interact with an AI character in a virtual space. This interaction allows users to practically improve their sales and cross-cultural understanding skills. Spoken words and gestures are recorded by the system.

[0567] Step 6:

[0568] The device records the user's voice and behavior information in real time and sends it to the server. This data is analyzed on the server to identify the user's emotional state. The input data is processed by an emotion engine, and an emotional state evaluation is obtained as output.

[0569] Step 7:

[0570] The server dynamically adjusts the sales scenario based on the identified emotional state. For example, if the user is stressed, the server adjusts the interaction to help them relax. As a result, a newly adjusted scenario is generated.

[0571] Step 8:

[0572] The server generates and provides specific feedback to the user. This feedback includes suggestions for improvement regarding voice tone and gestures, and outputs analysis results based on the input data. Ultimately, the user can receive this feedback and use it to improve their skills.

[0573] (Application Example 2)

[0574] 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."

[0575] To efficiently improve skills in customer service, realistic training that replicates actual work environments is necessary. However, learning through interaction with real customers is difficult to implement due to constraints on location and time. There is a need to solve this problem and provide an environment that maximizes the effectiveness of training.

[0576] 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.

[0577] In this invention, the server includes means for acquiring information on multiple users and selecting a business situation based thereon; means for generating an intelligent avatar based on the selected business situation; means for constructing a virtual environment and performing a dialogue between the user and the intelligent avatar within the virtual environment; means for recording the user's voice and movement data, analyzing it in real time, and generating an evaluation; means for presenting the generated evaluation to the user; and means for recognizing the user's emotions and using an emotion program that dynamically adapts the situation accordingly. This makes it possible to reproduce a realistic customer service situation in virtual reality and for users to hone their skills without being constrained.

[0578] "User information" refers to detailed data about individual users who are being trained in a virtual environment. This data allows for the selection of customized sales conditions.

[0579] "Business situation" refers to a situation that includes specific business activities and customer service scenarios reproduced within a virtual environment, and is a virtual reality setting for users to acquire practical skills.

[0580] An "intelligent avatar" is an interactive virtual character generated using artificial intelligence technology, capable of supporting multiple languages ​​and interacting with users in real time.

[0581] A "virtual environment" is a three-dimensional virtual space experienced by users using a head-mounted display or other devices, and it is a place that reproduces actual work scenarios.

[0582] An "emotional program" is software that analyzes the user's facial expressions and tone of voice to recognize their emotional state, and dynamically adapts and changes the business situation accordingly.

[0583] "Evaluation" refers to feedback information generated based on the user's actions and speech within the virtual environment, and includes specific suggestions and areas for improvement that contribute to the user's skill development.

[0584] The system that implements this application consists of three entities: a server, a terminal, and a user. The server has the function of collecting information from multiple users, selecting the optimal business situation based on that information, and generating an intelligent avatar. After selection, the server transmits the selected business situation and the intelligent avatar data to the terminal.

[0585] The terminal uses received data to construct a virtual environment, allowing users to experience customer service scenarios in virtual reality. Devices such as VR headsets and smart glasses are used to construct the virtual environment. Users can wear these devices and interact in real time with intelligent avatars in a three-dimensional space.

[0586] During this process, the terminal records the user's voice and behavioral data in real time and sends it to the server as information for analysis. The server uses an emotion program to analyze the user's emotions and dynamically adjusts the sales situation. Specifically, if the user is tense, the system will respond in a way that helps them relax. The generated evaluation is presented to the user as specific areas for improvement, which helps them to enhance their skills.

[0587] Furthermore, since the intelligent avatars are multilingual, it is possible to recreate customers who speak various languages ​​within a virtual environment, thereby improving cross-cultural communication capabilities. This system allows users to hone their skills without being restricted by time or location.

[0588] One concrete example is a scenario where an AI avatar guides an AI customer service agent to teach them how to be considerate of customers from different cultures. For instance, for customers who show little reaction, the AI ​​avatar can analyze their facial expressions and emotions and adjust its approach accordingly.

[0589] An example of a prompt for a generative AI model is: "Please provide feedback on the optimal tone of voice and facial expression when serving tourists. Please also include any points to consider when dealing with customers of different nationalities." Using this prompt can be expected to improve specific customer service skills.

[0590] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0591] Step 1:

[0592] The server collects profile information provided by users during registration. This profile information includes the user's sales skill level and languages ​​they are proficient in. Based on this data, the server performs analysis to select the most suitable sales situation for each user.

[0593] Step 2:

[0594] The server generates intelligent avatars based on selected sales conditions. Pre-prepared scenarios and multilingual voice templates are used for avatar generation. The output is avatar data tailored to the user's skills and language.

[0595] Step 3:

[0596] The server sends the generated avatar and business status data to the terminal. The terminal receives this data and begins building the virtual environment. The inputs are avatar data and business status. Based on these, the virtual reality space displayed on the VR headset or smart glasses is prepared.

[0597] Step 4:

[0598] The user accesses the virtual environment through a terminal, puts on a headset, and begins interacting with an intelligent avatar. This interaction proceeds in a format where the user interacts realistically with a virtual customer, and the user's voice and motion data are generated as output in real time.

[0599] Step 5:

[0600] The terminal records the user's voice and movement data and sends it to the server. The server uses an emotion program to analyze the input data and recognize the user's emotional state. As a result, adjustments to the business situation are made.

[0601] Step 6:

[0602] The server generates feedback tailored to the user's emotions and presents it to the user via the terminal. The generated feedback includes areas for improvement and successes, and provides audio and visual output that serves as advice for the user's next interaction.

[0603] Step 7:

[0604] Based on the feedback provided, users can continue training in the virtual environment. During this process, they can select specific scenarios or situations and retry. This allows users to repeatedly improve their skills.

[0605] 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.

[0606] 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.

[0607] 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.

[0608] [Fourth Embodiment]

[0609] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0610] 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.

[0611] 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).

[0612] 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.

[0613] 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.

[0614] 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).

[0615] 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.

[0616] 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.

[0617] 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.

[0618] 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.

[0619] 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.

[0620] 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.

[0621] 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".

[0622] The system of this invention aims to efficiently improve sales and customer service skills. This system consists of three main elements: a server, a user terminal (including a VR device), and the user.

[0623] First, the user logs into the system and provides information such as their sales skills, areas for improvement, and preferred languages. This information is sent to the server as "user information."

[0624] Next, the server selects an appropriate "sales scenario" based on the acquired user information. The selected scenario is customized to take into account the user's strengths and weaknesses, making it possible to simulate a variety of sales situations.

[0625] Subsequently, the server generates an "artificial intelligence avatar" based on the sales scenario. This avatar is designed to engage in natural conversations with the user and utilizes a pre-trained model. In particular, it supports multiple languages, allowing users to experience the sales scenario in several languages.

[0626] Meanwhile, the user terminal receives scenario and avatar data sent from the server and constructs a "virtual reality environment." This environment provides the user with a realistic simulation of a store or office, and the user begins the experience by putting on a VR headset.

[0627] Within this virtual reality environment, users experience practical sales scenarios through interaction with an AI avatar. The device records the user's "voice and motion data" in real time and sends this data to a server. The server analyzes the received data and evaluates the user's reactions and interactions to generate specific "feedback."

[0628] The generated feedback is presented to the user via the device. This feedback specifically indicates areas for improvement, such as voice tone, response speed, and gestures. The user uses this feedback to improve their sales skills.

[0629] As a concrete example, in the case of a sales representative who needs to handle multiple languages, the server adjusts the script based on the language selected by the user and simulates interacting with customers from different cultural backgrounds. In this way, users can efficiently and practically improve their sales skills.

[0630] The following describes the processing flow.

[0631] Step 1:

[0632] Users log in to the system and enter their profile information, sales skill requirements, and preferred languages. This user information is then sent to the server.

[0633] Step 2:

[0634] The server uses an algorithm based on the received user information to select the optimal sales scenario. During the selection process, the user's strengths, weaknesses, and past experience are considered to customize the scenario to be the best fit.

[0635] Step 3:

[0636] The server generates an AI avatar based on the selected sales scenario. The avatar utilizes a pre-trained model to enable natural conversation and supports multiple languages.

[0637] Step 4:

[0638] The terminal receives scenario data and avatar data sent from the server. Using these, it constructs a virtual reality environment and presents it to the user. The virtual reality environment provides a realistic sales simulation based on the scenario.

[0639] Step 5:

[0640] Users wear a VR headset in a virtual reality environment and experience real-world sales situations by interacting with an avatar. This allows them to learn about diverse customer interactions in real time.

[0641] Step 6:

[0642] The device records voice and motion data acquired from the user in real time. The recorded data is immediately sent to the server.

[0643] Step 7:

[0644] The server analyzes received audio and motion data to evaluate user performance. Based on the analysis results, it generates feedback including specific areas for improvement.

[0645] Step 8:

[0646] The terminal displays feedback sent from the server to the user. This feedback includes specific advice for improving sales skills. The user uses this information to improve their next training session.

[0647] (Example 1)

[0648] 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".

[0649] In the process of improving sales skills, there is a need to provide an environment where users can experience realistic sales scenarios through natural, multilingual dialogues and receive appropriate feedback tailored to their individual strengths and weaknesses. Conventional systems have struggled to meet these needs, with difficulties in flexibly adjusting scenarios and generating multilingual AI conversationalists, resulting in inefficient learning.

[0650] 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.

[0651] In this invention, the server includes means for acquiring information on multiple users and selecting a sales activity scenario based on that information; means for generating a multilingual artificial intelligence (AI) dialogue partner using a generation AI model based on the selected sales scenario; and means for constructing a three-dimensional virtual environment and for the user and the AI ​​dialogue partner to conduct a dialogue within the virtual environment. This enables users to experience practical sales scenarios in a realistic simulation environment in multiple languages ​​and improve their individual sales skills through detailed feedback.

[0652] "User information" refers to data about an individual aimed at improving their sales skills, and specifically includes information such as their strengths, areas for improvement, and preferred languages ​​of use.

[0653] A "sales activity scenario" is a collection of stories and scenes that simulate various sales situations, designed for users to experience in a virtual environment and improve their sales skills.

[0654] A "generative AI model" is an artificial intelligence that learns from various data in advance to enable natural conversations with users, and it is a model that has functions such as multilingual support.

[0655] An "artificial intelligence conversationalist" is a virtual agent created by a generative AI model that has the ability to engage in natural conversation with the user.

[0656] A "three-dimensional virtual environment" is a realistic, three-dimensional space constructed for users to experience simulated sales scenarios, creating an environment where users can feel as if they are in a real store or office.

[0657] "Responses" are information generated as a result of analyzing user behavior and statements, in order to provide feedback on areas for improvement and evaluations.

[0658] This invention is a system for improving users' sales skills, and it functions through the coordinated operation of three elements: a server, a terminal, and the user. Its specific form is described below.

[0659] The server first receives user information, which includes the user's strengths in sales skills, areas for improvement, and preferred language. The server processes the received user information and selects the optimal scenario from multiple sales activity scenarios. The selection process is customized to take into account the user's characteristics and to simulate a variety of sales situations.

[0660] Next, the server generates an artificial intelligence (AI) conversationalist using a generative AI model based on the selected sales activity scenario. This conversationalist is multilingual and capable of engaging in natural conversation with the user. The generative AI model uses advanced natural language processing techniques based on previously learned data to facilitate smooth conversations.

[0661] The terminal receives scenario data and generated avatar data transmitted from the server and constructs a three-dimensional virtual environment. This virtual environment is built using a virtual reality device, and by wearing a VR headset, users can experience simulations of realistic stores and offices. Through interaction within the virtual environment, users can gain experience that simulates actual business situations.

[0662] For example, in the case of a sales representative who needs to support multiple languages, the server adjusts the sales script according to the language selected by the user, providing sales scenarios for customers with different cultural backgrounds, such as English or French. An example of a prompt in this case would be, "Please create a sales scenario in Japanese and generate an avatar that can also communicate in English and French."

[0663] Through the above process, users will be able to improve their sales skills in a more practical and effective way.

[0664] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0665] Step 1:

[0666] Users input their sales skills, areas for improvement, and preferred languages ​​through a terminal. The terminal aggregates this data and sends it to the server as "user information." During this process, the user interface includes an input assistance function to encourage accurate information entry.

[0667] Step 2:

[0668] The server analyzes the received user information and selects the most suitable sales activity scenario from the database. Using an AI algorithm, it considers the user's strengths and weaknesses based on the input user information, customizing and outputting an appropriate sales scenario. The server is equipped with a high-speed computing engine to assist in rapid processing.

[0669] Step 3:

[0670] The server sends a prompt to the generating AI model based on the selected sales activity scenario, generating an artificial intelligence conversationalist. This prompt is something like, "Generate a multilingual conversationalist based on the selected scenario." The generating AI model uses this input to output conversationalist data using natural language processing techniques.

[0671] Step 4:

[0672] The terminal receives customized scenario data and generated avatar data sent from the server, and constructs a three-dimensional virtual environment. This virtual environment is constructed using a VR device, providing the user with a realistically reproduced space of a virtual store or office. The user can then put on a VR headset and begin the experience.

[0673] Step 5:

[0674] The user experiences sales activity scenarios through dialogue with an AI interlocutor in a virtual environment. The terminal records voice and motion information during the dialogue in real time. The recorded data is sent from the terminal to a server, where the server analyzes the data using a speech recognition engine and motion analysis algorithms to evaluate the user's responses.

[0675] Step 6:

[0676] The server generates specific feedback for the user based on the analysis results. This feedback includes areas for improvement such as voice tone, speaking speed, and gestures, and is generated as output. The terminal presents this feedback to the user, who can then consider specific actions to improve their sales skills based on it.

[0677] (Application Example 1)

[0678] 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".

[0679] Existing sales and customer service skill improvement systems struggle to effectively simulate real-world scenarios within a virtual environment. They also have limitations in providing diverse product information and enhancing the purchasing experience. In particular, the lack of multilingual user support prevents them from adequately addressing international purchasing behavior, and this issue needs to be resolved.

[0680] 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.

[0681] In this invention, the server includes means for acquiring multiple user information and selecting a sales scenario based thereon; means for generating an intelligent system avatar based on the selected sales scenario; means for constructing a virtual environment and executing a dialogue between the user and the intelligent system avatar within the virtual environment; and means for guiding the user's purchasing experience using the intelligent system avatar to provide product information or suggestions. This enables users to improve their practical sales skills and purchasing experience in a realistic virtual store environment through natural dialogue in multiple languages.

[0682] "User information" refers to individual data about a user, such as their profile, intentions, and preferred languages.

[0683] A "sales scenario" is a set of situations and scenarios within a virtual sales environment designed to improve the user's skills.

[0684] An "intelligent system avatar" is a virtual character created using artificial intelligence technology that can interact naturally with the user.

[0685] A "virtual environment" is a computer-generated environment that uses virtual reality technology to provide users with an experience that is as close to reality as possible.

[0686] "Voice and motion information" refers to the user's voice data and data related to their body movements.

[0687] "Feedback" refers to information about areas for improvement and advice generated based on user interaction.

[0688] "Product information refers to detailed information about the products and services offered by the intelligent system avatar."

[0689] The "purchase experience" refers to the entire experience a user goes through when selecting and purchasing a product or service.

[0690] This invention presents a system for constructing a multilingual virtual environment using an intelligent system avatar in order to improve the user's sales and purchasing experience. The system mainly consists of a server, a user terminal, and an intelligent system avatar.

[0691] The server collects voice and behavioral information from the user and selects an appropriate sales scenario based on this information. Based on the selected scenario, the server generates an intelligent system avatar and simulates various scenarios within a virtual environment. This allows the user to hone their sales skills through realistic interactions.

[0692] The user terminal creates a virtual environment using a VR device such as the Oculus Quest 2. Through the terminal, the user interacts with an intelligent system avatar and receives product information and suggestions. The user's voice and movement information collected by the terminal is transmitted to the server in real time, and the intelligent system avatar provides dynamic feedback.

[0693] The software supporting this entire system includes Unity for creating virtual environments, Python for speech and text processing, and generative AI models for natural language processing (e.g., OpenAI GPT-4). This allows users to experience a natural, multilingual conversational environment.

[0694] A concrete example would be a scenario where a Japanese user visits a virtual French wine shop and receives detailed information and recommendations about French wines from an intelligent system avatar. In this case, an example of a prompt might be, "Please write a script that suggests a suitable wine when the user prefers red wine and is looking for a French wine within a budget of 5000 yen."

[0695] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0696] Step 1:

[0697] The user logs in to the terminal and enters personal information, preferences, and preferred language. The entered information is sent from the terminal to the server and stored on the server as user information. The server uses this information to understand the user's needs.

[0698] Step 2:

[0699] The server selects an appropriate sales scenario based on the received user information. The server chooses the best scenario from the database and retrieves related data through filtering. The selected scenario is tailored to the user's current state.

[0700] Step 3:

[0701] Based on the selected sales scenario, the server generates an intelligent system avatar. Using the generation AI model, it creates multilingual conversation scripts tailored to the scenario. This results in an avatar that provides users with a realistic conversational experience.

[0702] Step 4:

[0703] The server sends the generated scenario and avatar data to the device. The device receives this data and uses Unity to build a virtual environment. This environment is rendered to realistically reproduce the space the user will experience.

[0704] Step 5:

[0705] The user accesses a virtual environment using a VR device and begins interacting with an intelligent system avatar. The device records the user's voice and motion data in real time and sends this data to a server. The server analyzes the received data using speech recognition and motion analysis.

[0706] Step 6:

[0707] The server generates feedback on user interaction based on the analysis results. It uses a Python data processing library to evaluate voice tone, gestures, and response speed. The generated feedback provides users with specific suggestions for improvement.

[0708] Step 7:

[0709] The server sends the generated feedback to the terminal, which then presents it to the user. Based on the feedback, the user can adjust their actions and continue training to acquire more effective sales skills.

[0710] 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.

[0711] This invention relates to a virtual reality training system for efficiently improving skills in sales and customer service operations. The system consists of three main elements: a server, a user terminal (including a virtual reality device), and the user, and further includes an emotion engine that recognizes the user's emotions and enables appropriate responses.

[0712] First, the user logs into the system and provides user information, including profile information, desired sales skills, and supported languages. This information is received by the server and used to select an appropriate sales scenario. Based on the user information, the server selects the optimal sales scenario and further customizes it to the user's needs. Based on the selected scenario, a multilingual AI avatar is generated.

[0713] The user terminal uses scenarios and avatar data received from the server to construct a virtual reality environment. In this environment, the user wears a VR headset and can experience a realistic sales situation. Within this scenario, the user can interact with an AI avatar and hone their skills through practical training.

[0714] The user's speech and actions during the experience are recorded in real time on the device. This data is sent to a server, where an emotion engine analyzes it to recognize the user's emotions. Based on these recognized emotions, the sales scenario is dynamically adjusted. For example, if the user is nervous, the system can adapt accordingly by providing a more relaxed response.

[0715] The server further generates and provides feedback that takes into account the user's emotional state. This feedback includes specific advice on individual emotional responses, such as areas for improvement in tone of voice, facial expressions, and gestures. This allows users to aim for improvement in advanced customer service skills, including emotional aspects.

[0716] As a concrete example, when sales representatives experience scenarios involving customers from diverse cultural backgrounds, utilizing the emotion engine can hone their communication skills across language and cultural barriers. Users can learn more effective response methods while becoming more aware of their own emotions.

[0717] The following describes the processing flow.

[0718] Step 1:

[0719] Users log into the system and enter their profile information, preferred scenarios, and supported languages ​​for training aimed at improving their sales skills. This information is then sent to the server.

[0720] Step 2:

[0721] The server selects an appropriate sales scenario based on the received user information. The selection process analyzes the user's strengths and weaknesses and customizes the scenario to meet individual needs. This process utilizes pre-trained algorithms.

[0722] Step 3:

[0723] The server generates an artificial intelligence avatar based on the selected sales scenario. This avatar is multilingual and prepared to engage in conversations in the user's preferred language.

[0724] Step 4:

[0725] The terminal uses scenario data and avatar data received from the server to construct a virtual reality environment. This environment provides users with a realistic simulation of business operations.

[0726] Step 5:

[0727] Users put on a VR headset and begin sales simulations through interaction with an AI avatar in a virtual reality environment. Through practical application, users can improve their skills based on their own experience.

[0728] Step 6:

[0729] The terminal records voice and behavioral data acquired from the user in real time during the simulation. This data is sent to a server and used for analyzing the user's reactions.

[0730] Step 7:

[0731] The server analyzes voice and behavioral data using an emotion engine. This engine recognizes the user's emotions in real time and dynamically adjusts the sales scenario accordingly. For example, if the engine determines that the user is feeling tense, it will adapt its response by softening the tone of the conversation.

[0732] Step 8:

[0733] The server generates feedback that responds to the user's emotions and actions. This feedback includes specific advice on things like emotion regulation and improving conversations.

[0734] Step 9:

[0735] The device receives feedback from the server and presents it to the user. The user can then use the provided feedback to further improve their skills.

[0736] (Example 2)

[0737] 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".

[0738] Improving skills in sales and customer service often relies on real-world experience and on-the-job training, which can be inefficient. Furthermore, communicating effectively with customers from different cultures and linguistic backgrounds, and providing appropriate, emotionally-driven responses on the spot, can be challenging for some. To address these issues, a system is needed that provides more practical and emotionally responsive feedback.

[0739] 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.

[0740] In this invention, the server includes means for acquiring multiple user attributes and selecting a sales scenario based thereon; means for generating an AI character based on the selected sales scenario; means for constructing a virtual space and executing a dialogue between the user and the AI ​​character within the virtual space; and means for identifying the user's emotional state and adjusting the sales scenario based on the emotional state. This enables sales representatives to receive training in a practical environment and make improvements at a leadership level.

[0741] "User attributes" refer to information acquired by the system, such as personal information related to the user, skill level, and purpose.

[0742] A "sales scenario" refers to the sales training content that the server selects and customizes for users to experience within virtual reality.

[0743] A "machine-intelligence character" refers to a virtual person or character created using artificial intelligence that can interact with users in a variety of languages.

[0744] "Virtual space" refers to a three-dimensional virtual environment that users access through VR (virtual reality) devices.

[0745] "Voice and action information" refers to data related to the sounds made and actions performed by the user within the virtual space.

[0746] "Evaluation" refers to feedback about the user's skills and emotions, generated by the system based on voice and behavioral information.

[0747] "Emotional state" refers to the user's psychological state and emotional response, and is used by the system to identify this and adjust sales scenarios accordingly.

[0748] This invention is a training system for improving sales and customer service skills that utilizes virtual reality technology and artificial intelligence. The system consists of three main components: a server, a terminal, and a user.

[0749] The server receives attribute information provided by the user and selects and customizes sales scenarios based on it. The server incorporates advanced AI algorithms and uses a generative AI model to generate multilingual AI characters. This provides personalized training experiences tailored to specific skills and scenarios.

[0750] The terminal constructs a virtual space based on scenarios and character data transmitted from the server and displays this environment on the VR (virtual reality) device connected to the user. The terminal also plays a role in recording the user's voice and movement information in real time and transmitting it to the server. This allows the system to analyze the user's behavior in detail and generate appropriate evaluations.

[0751] By wearing a VR device, users can immerse themselves in a virtual space and train in a setting that closely resembles actual sales situations. Through interaction with an AI character, users can improve not only their sales skills but also their language abilities and cross-cultural understanding. Furthermore, technology that identifies the user's emotional state allows for learning in a relaxed environment.

[0752] For example, in a scenario where a salesperson is receiving training with customers from different cultural backgrounds, the emotion engine provides adaptive feedback that takes cultural differences into account. A concrete example of a prompt would be, "Please advise on the best way to stay relaxed during sales training."

[0753] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0754] Step 1:

[0755] Users log in to the system and enter their attribute information. This information includes desired skills, supported languages, and past experience. The entered information is collected and sent to the server. This creates a user profile in the server's database.

[0756] Step 2:

[0757] The server analyzes the received user attribute information and selects the optimal sales scenario. Using a generative AI model, it customizes a virtual training program that matches the user's objectives. Based on the input information, the AI ​​algorithm searches the database for scenarios and outputs the optimal one.

[0758] Step 3:

[0759] The server generates multilingual AI characters along with the selected sales scenarios. This is done using a generative AI model, which outputs characters whose language and behavior are adjusted based on the user's needs.

[0760] Step 4:

[0761] The device constructs a virtual space using scenario and character data sent from the server. The virtual reality environment is displayed to the user via a VR headset. In this process, the device realistically reproduces the scenario on the VR platform and combines graphics and sound to enhance user immersion.

[0762] Step 5:

[0763] Users wear a VR headset and interact with an AI character in a virtual space. This interaction allows users to practically improve their sales and cross-cultural understanding skills. Spoken words and gestures are recorded by the system.

[0764] Step 6:

[0765] The device records the user's voice and behavior information in real time and sends it to the server. This data is analyzed on the server to identify the user's emotional state. The input data is processed by an emotion engine, and an emotional state evaluation is obtained as output.

[0766] Step 7:

[0767] The server dynamically adjusts the sales scenario based on the identified emotional state. For example, if the user is stressed, the server adjusts the interaction to help them relax. As a result, a newly adjusted scenario is generated.

[0768] Step 8:

[0769] The server generates and provides specific feedback to the user. This feedback includes suggestions for improvement regarding voice tone and gestures, and outputs analysis results based on the input data. Ultimately, the user can receive this feedback and use it to improve their skills.

[0770] (Application Example 2)

[0771] 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".

[0772] To efficiently improve skills in customer service, realistic training that replicates actual work environments is necessary. However, learning through interaction with real customers is difficult to implement due to constraints on location and time. There is a need to solve this problem and provide an environment that maximizes the effectiveness of training.

[0773] 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.

[0774] In this invention, the server includes means for acquiring information on multiple users and selecting a business situation based thereon; means for generating an intelligent avatar based on the selected business situation; means for constructing a virtual environment and performing a dialogue between the user and the intelligent avatar within the virtual environment; means for recording the user's voice and movement data, analyzing it in real time, and generating an evaluation; means for presenting the generated evaluation to the user; and means for recognizing the user's emotions and using an emotion program that dynamically adapts the situation accordingly. This makes it possible to reproduce a realistic customer service situation in virtual reality and for users to hone their skills without being constrained.

[0775] "User information" refers to detailed data about individual users who are being trained in a virtual environment. This data allows for the selection of customized sales conditions.

[0776] "Business situation" refers to a situation that includes specific business activities and customer service scenarios reproduced within a virtual environment, and is a virtual reality setting for users to acquire practical skills.

[0777] An "intelligent avatar" is an interactive virtual character generated using artificial intelligence technology, capable of supporting multiple languages ​​and interacting with users in real time.

[0778] A "virtual environment" is a three-dimensional virtual space experienced by users using a head-mounted display or other devices, and it is a place that reproduces actual work scenarios.

[0779] An "emotional program" is software that analyzes the user's facial expressions and tone of voice to recognize their emotional state, and dynamically adapts and changes the business situation accordingly.

[0780] "Evaluation" refers to feedback information generated based on the user's actions and speech within the virtual environment, and includes specific suggestions and areas for improvement that contribute to the user's skill development.

[0781] The system that implements this application consists of three entities: a server, a terminal, and a user. The server has the function of collecting information from multiple users, selecting the optimal business situation based on that information, and generating an intelligent avatar. After selection, the server transmits the selected business situation and the intelligent avatar data to the terminal.

[0782] The terminal uses received data to construct a virtual environment, allowing users to experience customer service scenarios in virtual reality. Devices such as VR headsets and smart glasses are used to construct the virtual environment. Users can wear these devices and interact in real time with intelligent avatars in a three-dimensional space.

[0783] During this process, the terminal records the user's voice and behavioral data in real time and sends it to the server as information for analysis. The server uses an emotion program to analyze the user's emotions and dynamically adjusts the sales situation. Specifically, if the user is tense, the system will respond in a way that helps them relax. The generated evaluation is presented to the user as specific areas for improvement, which helps them to enhance their skills.

[0784] Furthermore, since the intelligent avatars are multilingual, it is possible to recreate customers who speak various languages ​​within a virtual environment, thereby improving cross-cultural communication capabilities. This system allows users to hone their skills without being restricted by time or location.

[0785] One concrete example is a scenario where an AI avatar guides an AI customer service agent to teach them how to be considerate of customers from different cultures. For instance, for customers who show little reaction, the AI ​​avatar can analyze their facial expressions and emotions and adjust its approach accordingly.

[0786] An example of a prompt for a generative AI model is: "Please provide feedback on the optimal tone of voice and facial expression when serving tourists. Please also include any points to consider when dealing with customers of different nationalities." Using this prompt can be expected to improve specific customer service skills.

[0787] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0788] Step 1:

[0789] The server collects profile information provided by users during registration. This profile information includes the user's sales skill level and languages ​​they are proficient in. Based on this data, the server performs analysis to select the most suitable sales situation for each user.

[0790] Step 2:

[0791] The server generates intelligent avatars based on selected sales conditions. Pre-prepared scenarios and multilingual voice templates are used for avatar generation. The output is avatar data tailored to the user's skills and language.

[0792] Step 3:

[0793] The server sends the generated avatar and business status data to the terminal. The terminal receives this data and begins building the virtual environment. The inputs are avatar data and business status. Based on these, the virtual reality space displayed on the VR headset or smart glasses is prepared.

[0794] Step 4:

[0795] The user accesses the virtual environment through a terminal, puts on a headset, and begins interacting with an intelligent avatar. This interaction proceeds in a format where the user interacts realistically with a virtual customer, and the user's voice and motion data are generated as output in real time.

[0796] Step 5:

[0797] The terminal records the user's voice and movement data and sends it to the server. The server uses an emotion program to analyze the input data and recognize the user's emotional state. As a result, adjustments to the business situation are made.

[0798] Step 6:

[0799] The server generates feedback tailored to the user's emotions and presents it to the user via the terminal. The generated feedback includes areas for improvement and successes, and provides audio and visual output that serves as advice for the user's next interaction.

[0800] Step 7:

[0801] Based on the feedback provided, users can continue training in the virtual environment. During this process, they can select specific scenarios or situations and retry. This allows users to repeatedly improve their skills.

[0802] 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.

[0803] 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.

[0804] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0805] 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.

[0806] 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. In the upper and lower directions of the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. Also, the upper side of the concentric circles is where "pleasant" emotions are located, and the lower side is where "unpleasant" emotions are located. In this way, 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.

[0807] 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.

[0808] 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.

[0809] 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.

[0810] 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."

[0811] 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.

[0812] 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.

[0813] 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.

[0814] 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.

[0815] 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.

[0816] 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.

[0817] 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.

[0818] 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.

[0819] 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.

[0820] 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.

[0821] 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.

[0822] 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.

[0823] The following is further disclosed regarding the embodiments described above.

[0824] (Claim 1)

[0825] A means of acquiring information from multiple users and selecting a sales scenario based on that information,

[0826] A means for generating an artificial intelligence avatar based on a selected sales scenario,

[0827] A means for constructing a virtual reality environment and for conducting a dialogue between a user and an artificial intelligence avatar within the virtual reality environment,

[0828] A means for recording user voice and motion data, analyzing it in real time, and generating feedback,

[0829] A means of presenting the generated feedback to the user,

[0830] A system that includes this.

[0831] (Claim 2)

[0832] The system according to claim 1, which customizes sales scenarios based on user information.

[0833] (Claim 3)

[0834] The system according to claim 1, which generates an artificial intelligence avatar that enables multilingual dialogue.

[0835] "Example 1"

[0836] (Claim 1)

[0837] A means of acquiring information from multiple users and selecting a sales activity scenario based on that information,

[0838] A means of generating a multilingual AI conversationalist using an AI model based on selected sales scenarios,

[0839] A means for constructing a three-dimensional virtual environment and for a user and an artificial intelligence dialoguer to conduct a dialogue within that virtual environment,

[0840] A means for recording user voice and movement information, analyzing it in real time, and generating a response,

[0841] A means of presenting the generated response to the user,

[0842] A system that includes this.

[0843] (Claim 2)

[0844] The system according to claim 1, which adjusts sales activity scenarios based on user information and enables the simulation of diverse sales situations.

[0845] (Claim 3)

[0846] The system according to claim 1, which generates an artificial intelligence conversationalist that enables dialogue suitable for different language environments.

[0847] "Application Example 1"

[0848] (Claim 1)

[0849] A means of acquiring information from multiple users and selecting a sales scenario based on that information,

[0850] A means for generating an intelligent system avatar based on a selected sales scenario,

[0851] A means for constructing a virtual environment and for conducting a dialogue between a user and an intelligent system avatar within that virtual environment,

[0852] A means for recording user voice and motion information, analyzing it in real time, and generating feedback,

[0853] A means of presenting the generated feedback to the user,

[0854] A means of guiding the user's purchasing experience using an intelligent system avatar to provide product information or suggestions,

[0855] A system that includes this.

[0856] (Claim 2)

[0857] The system according to claim 1, which customizes sales scenarios based on user information.

[0858] (Claim 3)

[0859] The system according to claim 1, which generates an intelligent system avatar that enables multilingual dialogue.

[0860] "Example 2 of combining an emotion engine"

[0861] (Claim 1)

[0862] A means of acquiring multiple user attributes and selecting a sales scenario based on them,

[0863] A means for generating an AI character based on a selected sales scenario,

[0864] A means for constructing a virtual space and conducting a dialogue between a user and an AI character within that virtual space,

[0865] A means for recording user voice and movement information, analyzing it in real time, and generating an evaluation,

[0866] A means of presenting the generated evaluation to the user,

[0867] A means for identifying the emotional state of a user and adjusting the sales scenario based on that emotional state,

[0868] A system that includes this.

[0869] (Claim 2)

[0870] The system according to claim 1, which adapts sales scenarios based on user attributes.

[0871] (Claim 3)

[0872] The system according to claim 1, which generates a machine intelligence character that enables dialogue in various languages.

[0873] "Application example 2 when combining with an emotional engine"

[0874] (Claim 1)

[0875] A means of acquiring information from multiple users and selecting business conditions based on that information,

[0876] A means for generating an intelligent avatar based on selected business conditions,

[0877] A means for constructing a virtual environment and conducting a dialogue between a user and an intelligent avatar within that virtual environment,

[0878] A means for recording user voice and motion data, analyzing it in real time, and generating an evaluation,

[0879] A means of presenting the generated evaluation to the user,

[0880] A means of using an emotion program that recognizes the user's emotions and dynamically adapts the situation accordingly,

[0881] A system that includes this.

[0882] (Claim 2)

[0883] The system according to claim 1, which customizes business conditions based on user information.

[0884] (Claim 3)

[0885] The system according to claim 1, which generates an intelligent avatar that enables multilingual dialogue. [Explanation of Symbols]

[0886] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means of acquiring information from multiple users and selecting a sales scenario based on that information, A means for generating an artificial intelligence avatar based on a selected sales scenario, A means for constructing a virtual reality environment and for conducting a dialogue between a user and an artificial intelligence avatar within the virtual reality environment, A means for recording user voice and motion data, analyzing it in real time, and generating feedback, A means of presenting the generated feedback to the user, A system that includes this.

2. The system according to claim 1, which customizes sales scenarios based on user information.

3. The system according to claim 1, which generates an artificial intelligence avatar that enables multilingual dialogue.

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