system

Abstract

We provide the system. [Solution] The generation method includes a means for randomly generating a space environment model, A means for exploring the space environment model and placing virtual structures using user operation means, A means for simulating the characteristics of the space environment model over time using evolutionary simulation means and outputting the results, A means for visualizing the results of the aforementioned evolutionary simulation and providing users with a virtual tourism experience, A system that includes this.

Description

Technical Field

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In current space exploration and city construction games, each planet explored by players has a fixed setting, lacking sufficient variation and potential for development to provide a new experience. Also, it is difficult to virtually experience the evolution of the environment and civilization accompanying the passage of time in the real world, and there is a problem that players cannot satisfy their deeper intellectual curiosity. As a result, it is insufficient as a means to sustain interest in space science and technology and stimulate creative ideas. ]

Means for Solving the Problems

[0005] This invention provides a means for users to explore a randomly generated space environment model using a generation means. It also enables users to create their own unique city-building experience by placing virtual structures. An evolutionary simulation means simulates the changes in the environment model's properties over time and visualizes the results, providing players with a new experience. Furthermore, by providing the results of the evolutionary simulation as a virtual tourism experience, it satisfies intellectual curiosity and stimulates interest in academic science and technology. This effectively solves the problems of the past.

[0006] "Generation means" refers to mechanical or programmatic components for randomly generating space environment models.

[0007] "User operation means" refers to an interface and operating device for the user to explore a virtually generated space environment and place virtual structures.

[0008] An "evolutionary simulation tool" is a simulation mechanism for calculating and obtaining results by determining how the characteristics of a generated space environment model change over a hypothetical period of time.

[0009] "Visualization" is the process of displaying the results of an evolutionary simulation in a graphical format so that users can understand them.

[0010] A "virtual sightseeing experience" is a digital interaction that allows users to explore a virtually generated and evolved environment, providing them with an experience similar to sightseeing. [Brief explanation of the drawing]

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

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

[0013] First, let's explain the terminology used in the following explanation.

[0014] In the following embodiments, the 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.

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

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

[0017] In the following embodiments, the labeled communication I / F (Interface) is an interface including a communication processor, an antenna, and the like. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

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

[0019] [First Embodiment]

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

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

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

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

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

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

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

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

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

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

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

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

[0032] The system of this invention begins with a server generating a space environment model using a generation means. The generation means has the ability to randomly generate space environments with infinite variations based on multiple parameters (e.g., terrain, climate, ecosystem, etc.). The generated models are stored in a database so that users can select and access them.

[0033] When a user explores a new space environment, the terminal receives environment data generated from the server, and the exploration begins through an interface operated by the user. The user can visit various locations and observe terrain and features through interactive maps and 3D views. The user can also select specific locations and place virtual structures. In this process, the terminal communicates with the server in real time to provide the user with appropriate construction options.

[0034] The evolutionary simulation is run on a server and calculates how a space environment model changes over time. This includes, for example, changes in vegetation, long-term climate fluctuations, and the development of civilizations. The generated simulation results are sent to a terminal and visualized for the user. Based on these results, the user can experience a narrative from the past to the future.

[0035] When users engage in virtual sightseeing based on evolutionary simulations, the device constructs a Street View-style interface, allowing users to explore areas of interest in detail. This process utilizes evolutionary simulation data provided by the server, enabling it to deliver a rich virtual experience to the user.

[0036] For example, if a user selects an ice-covered planet, the generated environment will include icebergs and frozen lakes, with detailed graphics provided by procedural technology. The user can then choose a specific region on that planet and select to build a glass-domed city suited to that region. The server generates a city model that matches the region's climate data and sends it to the user's terminal, presenting a visualized completed image. The user can then explore and deepen their understanding of the ecosystem's development within the dome and external influences through an evolutionary simulation.

[0037] The following describes the processing flow.

[0038] Step 1:

[0039] The server receives a request to generate a space environment model. Using the generation method, random parameters are set, and a space environment model with diverse terrains, climates, and ecosystems is generated.

[0040] Step 2:

[0041] The server saves the generated space environment model to a database. Simultaneously, it updates and provides the user with a list of selectable planets.

[0042] Step 3:

[0043] When a user selects a planet of interest, the device retrieves the corresponding environmental data from the server and displays a visual exploration screen through the user interface.

[0044] Step 4:

[0045] The user initiates a search, selects a specific location, and issues instructions to place a virtual structure. The terminal sends this request to the server.

[0046] Step 5:

[0047] The server analyzes the terrain and climate data of the selected location, generates options for constructible structures, and sends them back to the terminal.

[0048] Step 6:

[0049] The terminal renders the selected construction option presented to the user in 3D graphics and displays it on the screen.

[0050] Step 7:

[0051] The server starts an evolutionary simulation based on the current space environment model. It calculates future environmental and civilizational changes and generates results.

[0052] Step 8:

[0053] The server sends evolutionary simulation result data to the terminal, which then uses it to display visualized future scenarios to the user.

[0054] Step 9:

[0055] Based on the results of evolutionary simulations that interest the user, they select a virtual tour. The device then builds a street view-style exploration interface, providing a detailed virtual tour.

[0056] (Example 1)

[0057] 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."

[0058] Conventional virtual environment generation systems could only offer a limited variety of environments, restricting the scope of user exploration and creation. Furthermore, it was difficult to visualize changes in the environment and civilization over time in real time and provide users with a consistent experience. It is necessary to overcome these constraints and realize more diverse and interactive virtual experiences.

[0059] 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.

[0060] In this invention, the server includes means for randomly generating and saving space environment models based on multiple parameters using a generation means; means for exploring the space environment models using a user terminal and selecting and placing virtual structures using procedural technology; and means for simulating the characteristics of the space environment models, including vegetation changes, climate change, and civilization development, over time using an evolutionary simulation means, and providing them to the user in real time. This allows the user to freely explore a wide variety of space environments and experience evolving environments and civilizations in real time.

[0061] A "generation method" is a method for randomly generating and saving space environment models based on multiple parameters.

[0062] A "user terminal" is a device that a user operates to explore the space environment model and select and place virtual structures.

[0063] "Procedural techniques" are methods for dynamically generating complex environments and structures based on algorithms.

[0064] A "virtual structure" is a digital object that a user can select and place at a designated location in the space environment.

[0065] An "evolutionary simulation method" is a method for calculating the characteristics of a space environment model that change over time and providing the results to the user.

[0066] "Visualization data" refers to data used to visually display the results of evolutionary simulations to the user.

[0067] A "virtual tourism experience" is a virtual journey in which users can explore a digital environment and experience changes through evolutionary simulations.

[0068] This invention is a system for users to explore a rich space environment and experience an evolving virtual world. The system functions through the coordinated operation of a server and terminals.

[0069] The server uses a generative AI model to randomly generate space environment models based on multiple parameters (e.g., terrain, climate, ecosystem, etc.). The server employs procedural techniques to create high-quality, detailed environments. The generated environment models are stored in a database and made accessible to users. The server also simulates environmental changes over time through evolutionary simulation methods, providing users with visualized data.

[0070] The terminal receives environmental data transmitted from the server and provides an interface that allows users to interactively explore the space environment. Through the terminal, users can place virtual structures at specific locations. During this operation, the terminal communicates with the server in real time to provide construction options suitable for the selected area.

[0071] As a concrete example, consider a scenario where a user explores an ice-covered planet. The device renders detailed 3D graphics and uses climate data provided by a server to assist in the construction of a glass-domed city suitable for the user's chosen location. Based on the generated model, the user can tour and gain a deeper understanding of the ecosystem's development and external influences within the dome.

[0072] An example of a prompt message is, "Build a glass-domed city on an ice-covered planet. Set the appropriate parameters and experience the evolutionary simulation." This system allows users to experience a new virtual world from multiple perspectives and learn from it.

[0073] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0074] Step 1:

[0075] The server generates a space environment model using a generative AI model. The input to this process is the prompt statements and associated parameters selected by the user. Based on these inputs, the server uses procedural techniques to create a space environment with detailed topography, climate, and ecosystems, and stores the output in a database. Specifically, the algorithm numerically generates topographic maps and vegetation patterns, outputting multidimensional environmental data.

[0076] Step 2:

[0077] The server sends the generated space environment model to the user's terminal. The input is the environment model stored in the database, which the server converts into a format that the user's terminal can understand and sends. The output is the environment data received by the user's terminal. The terminal receives this data and starts a 3D view that the user can explore.

[0078] Step 3:

[0079] The user explores the environment and selects virtual structures using the terminal's interface. Input consists of the user's selections on the interface and environment model information received from the server. The terminal sends these selections to the server and retrieves data related to the placement of the structures (e.g., climate conditions and terrain suitability).

[0080] Step 4:

[0081] The server calculates the possible placement options for the build selected by the user and sends the results to the terminal. The inputs to this process are the user's selected build location and the climate and terrain data held by the server. The server uses this data to determine the appropriate build option in real time and sends it as output to the terminal. The terminal visualizes this and displays it to the user.

[0082] Step 5:

[0083] The user begins a virtual tour through an evolutionary simulation. The input is the result of the evolutionary simulation provided by the server. The terminal generates an interactive Street View-style presentation based on this result and provides it to the user. Through this interface, the user observes and experiences the passage of time in the environment and civilization.

[0084] (Application Example 1)

[0085] 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."

[0086] Conventional virtual environment systems offer limited exploration and experience options, creating a demand for more immersive virtual tourism experiences. Furthermore, there's a need to visually enjoy diverse evolutionary processes through new simulations based on space environments.

[0087] 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.

[0088] In this invention, the server includes means for randomly generating space environment models using generation means, means for exploring the space environment models and placing virtual structures using user operation means, means for simulating the characteristics of the space environment models over time using evolutionary simulation means and outputting the results, means for visualizing the results of the evolutionary simulation using visualization means and providing the user with a virtual sightseeing experience, and means for exploring the generated space environment using a smartphone or head-mounted display. This makes it possible for users to enjoy immersive and individual experiences in diverse space environments.

[0089] The "generation method" refers to a function for randomly generating space environment models.

[0090] "User operation means" refers to functions that allow users to explore the space environment model and place virtual structures.

[0091] "Evolutionary simulation means" refers to a function that simulates the characteristics of a space environment model over time and outputs the results.

[0092] "Visualization means" refers to a function that visualizes the results of evolutionary simulations and provides users with a virtual tourism experience.

[0093] "Exploration methods using smartphones or head-mounted displays" refers to functions for exploring the space environment generated using these devices.

[0094] In a system implementing this invention, the server first uses a generation means to randomly generate space environment models with infinite variations based on multiple parameters. These environment models are stored in a database and accessible to the user. When a user explores a new space environment, the terminal receives the environment data generated from the server via a smartphone or head-mounted display and begins exploring through the interface. The user can utilize interactive maps and 3D views to explore the space environment and place virtual structures of their choice.

[0095] An evolutionary simulation is executed on the server, applying temporal changes to a space environment model and calculating things like vegetation, climate, and civilization development. The server visualizes the results of the evolutionary simulation and provides the user with a virtual sightseeing experience through an interface. For example, a user who chooses an ice-covered planet can tour the detailed environment, including icebergs and frozen lakes, and virtually construct a glass-domed city in a specific region. In this case, the server generates a city model that matches the climate of that region, visualizes it, and sends it to the user's terminal. The user can then virtually tour the ecosystem development in this environment.

[0096] The system is implemented using Python as the programming language, and the `random` module, a standard library in Python, is used for random generation. Users explore the space environment through hardware devices such as smartphones and head-mounted displays. Web technologies are used for visualization, and HTML and JavaScript (registered trademark) are used to build the interface.

[0097] As a concrete example of a prompt message for a generative AI model, one could use an instruction in the form of, "Generate an alien jungle environment near the equator. Simulate forests, diverse life forms, and ecosystem evolution."

[0098] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0099] Step 1:

[0100] The server uses a generation mechanism to randomly generate space environment models with infinite variations based on multiple parameters (topography, climate, ecosystem, etc.). The input to this process is pre-set environment parameters, and the output is the generated space environment model. The server uses a random numerical generation algorithm to determine the topography, climate, and flora and fauna composition of the environment.

[0101] Step 2:

[0102] The generated space environment model is stored in the server's database, allowing users to access it later. At this stage, data processing is performed to properly organize and store the environment model's data structure in the database. The input is the generated environment model data, and the output is the environment model entry stored in the database.

[0103] Step 3:

[0104] The user connects to the server via a terminal and selects a space environment of interest. The input is the user's selection, and the output is data about the selected environment. The terminal sends a request to the server, and the received environment data is displayed via the user interface.

[0105] Step 4:

[0106] The user uses a terminal to explore the received space environment model and place virtual structures. During this process, user interaction is incorporated as input, and the output is an updated environment model. The terminal application displays an interactive map and 3D view, updating the environment in real time based on user actions.

[0107] Step 5:

[0108] The server uses evolutionary simulation methods to simulate the characteristics of a space environment model over time. The input is the latest environment model, and the output is the environment model with temporal changes due to the simulation. At this stage, vegetation growth, climate change, and the development of a virtual civilization are calculated.

[0109] Step 6:

[0110] The server generates visualization data from the results of the evolutionary simulation and sends it to the terminal. The input is the simulation result, and the output is data formatted for visualization. The server creates the visualization data using 3D graphics libraries, etc.

[0111] Step 7:

[0112] The terminal provides the user with a virtual sightseeing experience based on the received visualization data. The input is visualization data from the server, and the output is visual information presented on the user's display. The terminal constructs a Street View-style interface and displays the evolutionary simulation process to the user.

[0113] 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.

[0114] The system of this invention incorporates an emotion engine that recognizes and responds to the user's emotional state, thereby enabling personalized experiences. The server first generates a space environment model using a generation means and stores it in a database. Multiple users can access this model, enabling new space explorations.

[0115] As the user explores the space environment, the terminal provides visual information through the user interface and tracks the user's actions. The emotion engine analyzes the user's interactions and biometric data (e.g., facial expressions, voice tone, heart rate, etc.) to determine the user's emotions in real time. Based on this determination, the server issues adjustment parameters to the space environment model, dynamically changing the environment to match the emotion.

[0116] For example, if a user expresses surprise, the server can generate unexpected new terrain elements or events to provide a more immersive experience. Conversely, if the user is relaxed, the device can visually reflect smoother, more soothing music and scenery.

[0117] The evolutionary simulation runs on a server and simulates long-term changes in the generated environment. The results of this simulation are customized according to the user's emotions via an emotion engine and visualized on the device. For example, it provides a personalized experience for users seeking emotional stimulation, such as highlighting scenarios of rapid civilizational development or turbulent climate change.

[0118] For example, if a user selects a vibrant planet, the emotion engine detects the user's excitement, and the server generates colorful aerial shows and special creature appearance events. The device then renders and visualizes these in real time, providing a unique sightseeing experience with special decorations and effects. In this way, users can enjoy a more deeply personalized experience that is linked to their own emotions.

[0119] The following describes the processing flow.

[0120] Step 1:

[0121] The server constructs a random space environment model using a generation method. This model is then stored in a database and made available for user access.

[0122] Step 2:

[0123] When a user begins exploring a space environment model they have selected, the terminal retrieves the relevant data from the server and displays a visualized exploration screen through the user interface.

[0124] Step 3:

[0125] The device tracks the user's movements and collects biometric data (facial expressions, voice, etc.) through the camera and microphone. Based on this, the emotion engine analyzes and recognizes the user's emotions.

[0126] Step 4:

[0127] Based on the recognized emotion data, the server adjusts the environment parameters. For example, if the emotion of surprise is detected, new terrain or phenomena are generated and incorporated into the environment.

[0128] Step 5:

[0129] When a user selects a specific location and wishes to place a virtual structure, the terminal sends this instruction to the server. Based on emotional judgment, the server generates the most suitable structure variation and sends it to the terminal.

[0130] Step 6:

[0131] The device renders the structure selected by the user from the options presented to it in 3D graphics and displays the completed image on the screen.

[0132] Step 7:

[0133] The server customizes the results of evolutionary simulations based on emotions and runs those simulations. It generates future environmental changes, including unexpected changes and narrative scenarios that respond to emotions.

[0134] Step 8:

[0135] The server sends the simulation results to the terminal, which then visualizes and displays the results to the user as a personalized experience.

[0136] Step 9:

[0137] When a user begins a virtual tour, the device generates an emotion-responsive Street View-style interface, providing detailed scenes and actions to enhance the user's emotional experience.

[0138] (Example 2)

[0139] 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".

[0140] Modern virtual experience systems face challenges in providing immersive, personalized experiences because they struggle to dynamically adjust the environment in real time in response to user emotions and individual reactions. Furthermore, the generated virtual environment is often static, preventing the provision of a personalized experience that adapts to the diverse emotions of users.

[0141] 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.

[0142] In this invention, the server includes means for generating a space environment model using generation means, means for collecting the user's biometric data and determining their emotional state using emotion analysis means, and means for dynamically changing the space environment model according to the emotional state using adjustment means. This makes it possible to provide an immersive, personalized experience tailored to the user's emotions.

[0143] "Generative means" refers to the processes and technologies for constructing space environment models and representing them in digital format.

[0144] A "space environment model" is a digital representation that recreates celestial bodies and spaces that could exist in the universe in a virtual space, allowing users to explore them.

[0145] "Emotional analysis means" refers to technologies and algorithms that collect a user's biometric data and use it to determine the user's emotional state.

[0146] "Adjustment means" refers to a technology that dynamically changes various elements of the space environment model based on the user's emotional state to provide the user with an appropriate experience.

[0147] "Visual information provision means" refers to methods and technologies for visually presenting information so that users can see and experience a model of the space environment.

[0148] "Evolutionary simulation" is a process for simulating and analyzing the changes in various elements of a space environment model over time.

[0149] A "dynamic visualization method" is a technology that updates and presents visual information to the user in real time in response to evolutionary simulations or other changes.

[0150] "Biometric data" refers to data that indicates a user's physical characteristics and condition, such as facial expressions, heart rate, and voice tone.

[0151] One embodiment of the present invention is a virtual system that provides a user experience incorporating an emotion engine. This system uses emotion analysis technology to determine the user's emotional state and dynamically adjusts the digital environment based on this determination, thereby realizing a more personalized and immersive experience.

[0152] The server uses a generative AI model via a generation mechanism to construct a space environment model. This model includes celestial bodies, terrain, and climate in the virtual space. This forms the basis for users to explore the virtual universe. The generated data is stored in a database, which can be accessed simultaneously by multiple users.

[0153] The device uses hardware such as a camera, microphone, and heart rate sensor to collect real-time biometric data from the user. This data is received by an emotion engine, which uses machine learning algorithms to determine the emotional state. For example, facial recognition technology is used to analyze the user's facial expressions and obtain emotion labels such as "smiling" or "surprised."

[0154] The server updates the space environment model using adjustment mechanisms based on the results of the emotion engine. Specifically, it inputs prompt text into the generating AI model and dynamically generates new terrain and events. This adjustment allows for real-time environmental changes that reflect the user's emotions.

[0155] One concrete example of a prompt message is, "When the user is surprised, please output instructions to generate a new adventure event." This allows the server to provide the user with new exploration elements that are relevant to their surprise.

[0156] The device receives updates from the server and displays new visuals and audio in the user interface. Through this, the user can experience the evolved virtual environment visually and aurally. This entire process allows the user to enjoy a deeply personalized experience that responds to their emotions.

[0157] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0158] Step 1:

[0159] The server generates a space environment model using a generation mechanism. During this process, the AI ​​model is given the prompt "Create a new space environment" as input. Based on this prompt, the AI ​​model generates environment data, including details of celestial body configurations and terrain, and stores this data in a database. The output is a digital space environment accessible to multiple users.

[0160] Step 2:

[0161] The user accesses and begins exploring the generated space environment via a terminal. The terminal receives user commands and operations as input and displays the necessary information through a visual interface. Specific actions include the user selecting a planet and zooming in and rotating it. The output is a view of the specific environment the user is interacting with.

[0162] Step 3:

[0163] The device uses a camera, microphone, and heart rate sensor to collect real-time biometric data from the user. It takes data such as the user's facial expressions, voice tone, and heart rate as input and sends it to the emotion engine. The emotion engine analyzes this data to determine the user's emotional state. The output is an emotion label such as "surprise," "joy," or "relaxation."

[0164] Step 4:

[0165] The server receives the results of the emotion analysis as input and generates a new prompt for the generating AI model. For example, it might issue a command such as, "The user felt surprised, so generate a new event that amplifies the surprise." Based on this prompt, the AI ​​model generates event data and updates the space environment model. The output is an event element appropriate to the user's emotion.

[0166] Step 5:

[0167] The terminal receives updated environmental information from the server and displays newly generated events and terrain on the user interface. The input is data received from the server, and based on this, it presents real-time environmental changes visually and aurally. Specific actions include the appearance of special characters and changes in the environment's colors and music. The output is a dynamically changing virtual environment.

[0168] (Application Example 2)

[0169] 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".

[0170] The problem that this invention aims to solve is that conventional virtual experience systems cannot provide an immersive, personalized experience that takes into account the user's emotional state. Because there is no dynamic content generation or environmental changes in response to the user's emotions, and only a uniform experience is provided, there is a problem in that user satisfaction is limited.

[0171] 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.

[0172] In this invention, the server includes means for randomly generating a space environment model using a generation means, means for exploring the space environment model and arranging virtual structures using a user operation means, means for acquiring the user's biometric data using an emotion analysis device and determining the emotional state in real time, and means for issuing commands to dynamically adjust the space environment model according to the emotional state. This makes it possible to provide a personalized virtual experience that takes into account the user's emotional changes.

[0173] A "generation means" is a device or program that has the function of randomly constructing space environment models within a system.

[0174] "User operation means" refers to a device or program that enables a user to explore a space environment model through an interface and freely place virtual structures.

[0175] An "evolutionary simulation tool" is a device or program that simulates the characteristics of a space environment model over time and generates the results.

[0176] An "emotion analysis device" is a device or program that acquires a user's biometric data and determines their emotional state in real time by analyzing facial expressions, voice, etc.

[0177] "Command issuing means" refers to a device or program that generates and issues commands for dynamically adjusting the space environment model based on the user's emotional state.

[0178] To implement this invention, a complex system is required that includes a user terminal, a server, and an emotion analysis device. This system combines cloud technology with real-time data analysis.

[0179] The server first generates a space environment model using a generation method and stores the model, which has random characteristics, in a database. Users can access this database via a terminal and explore the virtual environment. To collect user behavior data and biometric data, an emotion analysis device analyzes facial expressions, voice, heart rate, etc., in real time. This allows for highly accurate determination of the user's emotions.

[0180] For emotion analysis, the software "Azure Cognitive Services," which provides advanced data analysis algorithms, is used. The results of the analysis of the user's emotional state are sent to the server, and based on this, commands are generated to dynamically adjust various parameters of the environment model. For example, if the user is surprised by the beauty of a new planet, the server will introduce new events and terrain elements accordingly.

[0181] The device provides users with instant visual and audio feedback to enhance immersion. This is achieved by using the Unity graphics engine to render the generated space environment model in real time, providing a visually high-quality experience.

[0182] For example, when a user begins exploring using a VR headset, the server determines, based on facial recognition and voice data, that the user is in an "excited" state. This triggers the appearance of a space city or a colorful aerial show, allowing the user to have a more deeply personalized experience.

[0183] As an example of a prompt, you can issue commands to the system in the form of, "Generate a new space environment model. Analyze the user's emotions from their facial expressions and voice, and provide appropriate visual content and events."

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

[0185] Step 1:

[0186] The server generates a space environment model using a generation method. It receives random parameters as input and performs calculations based on them to construct the space environment model. The output is space environment model data stored in a database.

[0187] Step 2:

[0188] The user accesses the space environment using a terminal. The terminal provides visual information through a user interface. The input is space environment model data obtained from a database, and the output is visual information displayed on the user screen.

[0189] Step 3:

[0190] The user collects biometric data using an emotion analysis device. Inputs include biometric data such as the user's facial expressions, voice, and heart rate, which are sent to a server. Based on this data, emotion analysis is performed using Azure Cognitive Services. The output is data representing the user's emotional state.

[0191] Step 4:

[0192] The server generates commands to adjust the space environment model based on emotional state data. The input is emotional state data, and the server calculates the optimal arrangement to realize the user's desired experience based on this data. The output is the adjustment command for the environment model.

[0193] Step 5:

[0194] The device provides visual feedback to the user based on adjustment commands from the server. The input is the adjustment commands provided by the server, and Unity is used to render new visual content. As a result, new events and environmental changes are displayed on the user's screen in real time.

[0195] Step 6:

[0196] The user experiences a new environment and provides feedback to the system. The input is the user's new emotional changes and behaviors, which are collected again by the emotion analysis device and sent to the server as data for restarting the loop. The output is new emotional state data used for the next adjustment.

[0197] 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.

[0198] 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.

[0199] 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.

[0200] [Second Embodiment]

[0201] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0202] 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.

[0203] 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).

[0204] 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.

[0205] 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.

[0206] 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).

[0207] 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.

[0208] 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.

[0209] 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.

[0210] 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.

[0211] 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.

[0212] 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".

[0213] The system of this invention begins with a server generating a space environment model using a generation means. The generation means has the ability to randomly generate space environments with infinite variations based on multiple parameters (e.g., terrain, climate, ecosystem, etc.). The generated models are stored in a database so that users can select and access them.

[0214] When a user explores a new space environment, the terminal receives environment data generated from the server, and the exploration begins through an interface operated by the user. The user can visit various locations and observe terrain and features through interactive maps and 3D views. The user can also select specific locations and place virtual structures. In this process, the terminal communicates with the server in real time to provide the user with appropriate construction options.

[0215] The evolutionary simulation is run on a server and calculates how a space environment model changes over time. This includes, for example, changes in vegetation, long-term climate fluctuations, and the development of civilizations. The generated simulation results are sent to a terminal and visualized for the user. Based on these results, the user can experience a narrative from the past to the future.

[0216] When users engage in virtual sightseeing based on evolutionary simulations, the device constructs a Street View-style interface, allowing users to explore areas of interest in detail. This process utilizes evolutionary simulation data provided by the server, enabling it to deliver a rich virtual experience to the user.

[0217] For example, if a user selects an ice-covered planet, the generated environment will include icebergs and frozen lakes, with detailed graphics provided by procedural technology. The user can then choose a specific region on that planet and select to build a glass-domed city suited to that region. The server generates a city model that matches the region's climate data and sends it to the user's terminal, presenting a visualized completed image. The user can then explore and deepen their understanding of the ecosystem's development within the dome and external influences through an evolutionary simulation.

[0218] The following describes the processing flow.

[0219] Step 1:

[0220] The server receives a request to generate a space environment model. Using the generation method, random parameters are set, and a space environment model with diverse terrains, climates, and ecosystems is generated.

[0221] Step 2:

[0222] The server saves the generated space environment model to a database. Simultaneously, it updates and provides the user with a list of selectable planets.

[0223] Step 3:

[0224] When a user selects a planet of interest, the device retrieves the corresponding environmental data from the server and displays a visual exploration screen through the user interface.

[0225] Step 4:

[0226] The user initiates a search, selects a specific location, and issues instructions to place a virtual structure. The terminal sends this request to the server.

[0227] Step 5:

[0228] The server analyzes the terrain and climate data of the selected location, generates options for constructible structures, and sends them back to the terminal.

[0229] Step 6:

[0230] The terminal renders the selected construction option presented to the user in 3D graphics and displays it on the screen.

[0231] Step 7:

[0232] The server starts an evolutionary simulation based on the current space environment model. It calculates future environmental and civilizational changes and generates results.

[0233] Step 8:

[0234] The server sends evolutionary simulation result data to the terminal, which then uses it to display visualized future scenarios to the user.

[0235] Step 9:

[0236] Based on the results of evolutionary simulations that interest the user, they select a virtual tour. The device then builds a street view-style exploration interface, providing a detailed virtual tour.

[0237] (Example 1)

[0238] 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."

[0239] Conventional virtual environment generation systems could only offer a limited variety of environments, restricting the scope of user exploration and creation. Furthermore, it was difficult to visualize changes in the environment and civilization over time in real time and provide users with a consistent experience. It is necessary to overcome these constraints and realize more diverse and interactive virtual experiences.

[0240] 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.

[0241] In this invention, the server includes means for randomly generating and saving space environment models based on multiple parameters using a generation means; means for exploring the space environment models using a user terminal and selecting and placing virtual structures using procedural technology; and means for simulating the characteristics of the space environment models, including vegetation changes, climate change, and civilization development, over time using an evolutionary simulation means, and providing them to the user in real time. This allows the user to freely explore a wide variety of space environments and experience evolving environments and civilizations in real time.

[0242] A "generation method" is a method for randomly generating and saving space environment models based on multiple parameters.

[0243] A "user terminal" is a device that a user operates to explore the space environment model and select and place virtual structures.

[0244] "Procedural techniques" are methods for dynamically generating complex environments and structures based on algorithms.

[0245] A "virtual structure" is a digital object that a user can select and place at a designated location in the space environment.

[0246] An "evolutionary simulation method" is a method for calculating the characteristics of a space environment model that change over time and providing the results to the user.

[0247] "Visualization data" refers to data used to visually display the results of evolutionary simulations to the user.

[0248] A "virtual tourism experience" is a virtual journey in which users can explore a digital environment and experience changes through evolutionary simulations.

[0249] This invention is a system for users to explore a rich space environment and experience an evolving virtual world. The system functions through the coordinated operation of a server and terminals.

[0250] The server uses a generative AI model to randomly generate space environment models based on multiple parameters (e.g., terrain, climate, ecosystem, etc.). The server employs procedural techniques to create high-quality, detailed environments. The generated environment models are stored in a database and made accessible to users. The server also simulates environmental changes over time through evolutionary simulation methods, providing users with visualized data.

[0251] The terminal receives environmental data transmitted from the server and provides an interface that allows users to interactively explore the space environment. Through the terminal, users can place virtual structures at specific locations. During this operation, the terminal communicates with the server in real time to provide construction options suitable for the selected area.

[0252] As a concrete example, consider a scenario where a user explores an ice-covered planet. The device renders detailed 3D graphics and uses climate data provided by a server to assist in the construction of a glass-domed city suitable for the user's chosen location. Based on the generated model, the user can tour and gain a deeper understanding of the ecosystem's development and external influences within the dome.

[0253] An example of a prompt message is, "Build a glass-domed city on an ice-covered planet. Set the appropriate parameters and experience the evolutionary simulation." This system allows users to experience a new virtual world from multiple perspectives and learn from it.

[0254] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0255] Step 1:

[0256] The server generates a space environment model using a generative AI model. The input to this process is the prompt statements and associated parameters selected by the user. Based on these inputs, the server uses procedural techniques to create a space environment with detailed topography, climate, and ecosystems, and stores the output in a database. Specifically, the algorithm numerically generates topographic maps and vegetation patterns, outputting multidimensional environmental data.

[0257] Step 2:

[0258] The server sends the generated space environment model to the user's terminal. The input is the environment model stored in the database, which the server converts into a format that the user's terminal can understand and sends. The output is the environment data received by the user's terminal. The terminal receives this data and starts a 3D view that the user can explore.

[0259] Step 3:

[0260] The user explores the environment and selects virtual structures using the terminal's interface. Input consists of the user's selections on the interface and environment model information received from the server. The terminal sends these selections to the server and retrieves data related to the placement of the structures (e.g., climate conditions and terrain suitability).

[0261] Step 4:

[0262] The server calculates the possible placement options for the build selected by the user and sends the results to the terminal. The inputs to this process are the user's selected build location and the climate and terrain data held by the server. The server uses this data to determine the appropriate build option in real time and sends it as output to the terminal. The terminal visualizes this and displays it to the user.

[0263] Step 5:

[0264] The user begins a virtual tour through an evolutionary simulation. The input is the result of the evolutionary simulation provided by the server. The terminal generates an interactive Street View-style presentation based on this result and provides it to the user. Through this interface, the user observes and experiences the passage of time in the environment and civilization.

[0265] (Application Example 1)

[0266] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0267] Conventional virtual environment systems offer limited exploration and experience options, creating a demand for more immersive virtual tourism experiences. Furthermore, there's a need to visually enjoy diverse evolutionary processes through new simulations based on space environments.

[0268] 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.

[0269] In this invention, the server includes means for randomly generating space environment models using generation means, means for exploring the space environment models and placing virtual structures using user operation means, means for simulating the characteristics of the space environment models over time using evolutionary simulation means and outputting the results, means for visualizing the results of the evolutionary simulation using visualization means and providing the user with a virtual sightseeing experience, and means for exploring the generated space environment using a smartphone or head-mounted display. This makes it possible for users to enjoy immersive and individual experiences in diverse space environments.

[0270] The "generation method" refers to a function for randomly generating space environment models.

[0271] "User operation means" refers to functions that allow users to explore the space environment model and place virtual structures.

[0272] "Evolutionary simulation means" refers to a function that simulates the characteristics of a space environment model over time and outputs the results.

[0273] "Visualization means" refers to a function that visualizes the results of evolutionary simulations and provides users with a virtual tourism experience.

[0274] "Exploration methods using smartphones or head-mounted displays" refers to functions for exploring the space environment generated using these devices.

[0275] In a system implementing this invention, the server first uses a generation means to randomly generate space environment models with infinite variations based on multiple parameters. These environment models are stored in a database and accessible to the user. When a user explores a new space environment, the terminal receives the environment data generated from the server via a smartphone or head-mounted display and begins exploring through the interface. The user can utilize interactive maps and 3D views to explore the space environment and place virtual structures of their choice.

[0276] An evolutionary simulation is executed on the server, applying temporal changes to a space environment model and calculating things like vegetation, climate, and civilization development. The server visualizes the results of the evolutionary simulation and provides the user with a virtual sightseeing experience through an interface. For example, a user who chooses an ice-covered planet can tour the detailed environment, including icebergs and frozen lakes, and virtually construct a glass-domed city in a specific region. In this case, the server generates a city model that matches the climate of that region, visualizes it, and sends it to the user's terminal. The user can then virtually tour the ecosystem development in this environment.

[0277] For the implementation of this system, Python is used as the programming language, and the random module, which is a standard library in Python, is used for random generation. Through hardware devices such as smartphones and head-mounted displays, users can explore the cosmic environment. Also, web technologies are utilized for visualization, and HTML and JavaScript are used for building the interface.

[0278] As a specific example of the prompt text for the generative AI model, it is conceivable to use instructions in the form of "Generate a jungle environment on an alien planet near the equator. Please simulate a forest, diverse life forms, and ecosystem evolution."

[0279] The flow of the specific process in Application Example 1 will be described using Figure 12.

[0280] Step 1:

[0281] The server randomly generates a cosmic environment model with infinite variations based on multiple parameters (such as terrain, climate, ecosystem, etc.) using the generation means. The input for this process is the pre-set environmental parameters, and the output is the generated cosmic environment model. The server uses a random numerical generation algorithm to determine the terrain, climate, and composition of animals and plants in the environment.

[0282] Step 2:

[0283] The generated cosmic environment model is stored in the server's database. This enables users to access it later. At this stage, data processing is performed to appropriately organize and store the data structure of the environmental model in the database. The input is the generated environmental model data, and the output is the entry of the environmental model stored in the database.

[0284] Step 3:

[0285] The user connects to the server via a terminal and selects a cosmic environment of interest. The input is the user's selection, and the output is data regarding the selected environment. The terminal sends a request to the server and displays the environmental data received via the user interface.

[0286] Step 4:

[0287] The user uses the terminal to explore the received cosmic environment model and place virtual constructs. During this process, the user's interaction is captured as input, and the output is the updated environmental model. The terminal application displays an interactive map or 3D view and updates the environment in real time based on the user's operations.

[0288] Step 5:

[0289] The server uses evolutionary simulation means to simulate the characteristics of the cosmic environment model over time. The input is the latest environmental model, and the output is the environmental model with time changes added by the simulation. At this stage, the growth of vegetation, climate change, the development of virtual civilizations, etc. are calculated.

[0290] Step 6:

[0291] The server generates the results of the evolutionary simulation as visualization data and sends it to the terminal. The input is the simulation result, and the output is the data formatted for visualization. The server creates the visualization data using a 3D graphics library or the like.

[0292] Step 7:

[0293] The terminal provides the user with a virtual tourism experience based on the received visualization data. The input is the visualization data from the server, and the output is the visual information presented on the user's display. The terminal constructs an interface in the form of a street view and displays the process of the evolutionary simulation to the user.

[0294] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0295] The system of this invention incorporates an emotion engine that recognizes and responds to the user's emotional state, thereby enabling personalized experiences. The server first generates a space environment model using a generation means and stores it in a database. Multiple users can access this model, enabling new space explorations.

[0296] As the user explores the space environment, the terminal provides visual information through the user interface and tracks the user's actions. The emotion engine analyzes the user's interactions and biometric data (e.g., facial expressions, voice tone, heart rate, etc.) to determine the user's emotions in real time. Based on this determination, the server issues adjustment parameters to the space environment model, dynamically changing the environment to match the emotion.

[0297] For example, if a user expresses surprise, the server can generate unexpected new terrain elements or events to provide a more immersive experience. Conversely, if the user is relaxed, the device can visually reflect smoother, more soothing music and scenery.

[0298] The evolutionary simulation runs on a server and simulates long-term changes in the generated environment. The results of this simulation are customized according to the user's emotions via an emotion engine and visualized on the device. For example, it provides a personalized experience for users seeking emotional stimulation, such as highlighting scenarios of rapid civilizational development or turbulent climate change.

[0299] As a specific example, when the user selects a magnificent planet and the emotion engine detects the user's excitement, the server generates a colorful aerial show or a special creature appearance event. Then, by the terminal rendering and visualizing it in real time, a tourism experience with special decorations and effects can be provided. In this way, the user can enjoy a deeper personalized experience linked to their own emotions.

[0300] The following describes the processing flow.

[0301] Step 1:

[0302] The server constructs a random cosmic environment model using the generation means. Then, this model is saved in the database and prepared in a form accessible to the user.

[0303] Step 2:

[0304] When the user starts exploring the selected cosmic environment model, the terminal obtains the corresponding data from the server and displays a visualization exploration screen through the user interface.

[0305] Step 3:

[0306] The terminal tracks the user's actions and collects biometric data (such as expressions, voices, etc.) through the camera and microphone. Based on this, the emotion engine analyzes and recognizes the user's emotions.

[0307] Step 4:

[0308] Based on the recognized emotion data, the server adjusts the parameters of the environment. For example, when detecting a surprised emotion, new terrain and phenomena are generated and incorporated into the environment.

[0309] Step 5:

[0310] When a user selects a specific location and wishes to place a virtual structure, the terminal sends this instruction to the server. Based on emotional judgment, the server generates the most suitable structure variation and sends it to the terminal.

[0311] Step 6:

[0312] The device renders the structure selected by the user from the options presented to it in 3D graphics and displays the completed image on the screen.

[0313] Step 7:

[0314] The server customizes the results of evolutionary simulations based on emotions and runs those simulations. It generates future environmental changes, including unexpected changes and narrative scenarios that respond to emotions.

[0315] Step 8:

[0316] The server sends the simulation results to the terminal, which then visualizes and displays the results to the user as a personalized experience.

[0317] Step 9:

[0318] When a user begins a virtual tour, the device generates an emotion-responsive Street View-style interface, providing detailed scenes and actions to enhance the user's emotional experience.

[0319] (Example 2)

[0320] 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".

[0321] Modern virtual experience systems face challenges in providing immersive, personalized experiences because they struggle to dynamically adjust the environment in real time in response to user emotions and individual reactions. Furthermore, the generated virtual environment is often static, preventing the provision of a personalized experience that adapts to the diverse emotions of users.

[0322] 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.

[0323] In this invention, the server includes means for generating a space environment model using generation means, means for collecting the user's biometric data and determining their emotional state using emotion analysis means, and means for dynamically changing the space environment model according to the emotional state using adjustment means. This makes it possible to provide an immersive, personalized experience tailored to the user's emotions.

[0324] "Generative means" refers to the processes and technologies for constructing space environment models and representing them in digital format.

[0325] A "space environment model" is a digital representation that recreates celestial bodies and spaces that could exist in the universe in a virtual space, allowing users to explore them.

[0326] "Emotional analysis means" refers to technologies and algorithms that collect a user's biometric data and use it to determine the user's emotional state.

[0327] "Adjustment means" refers to a technology that dynamically changes various elements of the space environment model based on the user's emotional state to provide the user with an appropriate experience.

[0328] "Visual information provision means" refers to methods and technologies for visually presenting information so that users can see and experience a model of the space environment.

[0329] "Evolutionary simulation" is a process for simulating and analyzing the changes in various elements of a space environment model over time.

[0330] A "dynamic visualization method" is a technology that updates and presents visual information to the user in real time in response to evolutionary simulations or other changes.

[0331] "Biometric data" refers to data that indicates a user's physical characteristics and condition, such as facial expressions, heart rate, and voice tone.

[0332] One embodiment of the present invention is a virtual system that provides a user experience incorporating an emotion engine. This system uses emotion analysis technology to determine the user's emotional state and dynamically adjusts the digital environment based on this determination, thereby realizing a more personalized and immersive experience.

[0333] The server uses a generative AI model via a generation mechanism to construct a space environment model. This model includes celestial bodies, terrain, and climate in the virtual space. This forms the basis for users to explore the virtual universe. The generated data is stored in a database, which can be accessed simultaneously by multiple users.

[0334] The device uses hardware such as a camera, microphone, and heart rate sensor to collect real-time biometric data from the user. This data is received by an emotion engine, which uses machine learning algorithms to determine the emotional state. For example, facial recognition technology is used to analyze the user's facial expressions and obtain emotion labels such as "smiling" or "surprised."

[0335] The server updates the space environment model using adjustment mechanisms based on the results of the emotion engine. Specifically, it inputs prompt text into the generating AI model and dynamically generates new terrain and events. This adjustment allows for real-time environmental changes that reflect the user's emotions.

[0336] One concrete example of a prompt message is, "When the user is surprised, please output instructions to generate a new adventure event." This allows the server to provide the user with new exploration elements that are relevant to their surprise.

[0337] The device receives updates from the server and displays new visuals and audio in the user interface. Through this, the user can experience the evolved virtual environment visually and aurally. This entire process allows the user to enjoy a deeply personalized experience that responds to their emotions.

[0338] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0339] Step 1:

[0340] The server generates a space environment model using a generation mechanism. During this process, the AI ​​model is given the prompt "Create a new space environment" as input. Based on this prompt, the AI ​​model generates environment data, including details of celestial body configurations and terrain, and stores this data in a database. The output is a digital space environment accessible to multiple users.

[0341] Step 2:

[0342] The user accesses and begins exploring the generated space environment via a terminal. The terminal receives user commands and operations as input and displays the necessary information through a visual interface. Specific actions include the user selecting a planet and zooming in and rotating it. The output is a view of the specific environment the user is interacting with.

[0343] Step 3:

[0344] The device uses a camera, microphone, and heart rate sensor to collect real-time biometric data from the user. It takes data such as the user's facial expressions, voice tone, and heart rate as input and sends it to the emotion engine. The emotion engine analyzes this data to determine the user's emotional state. The output is an emotion label such as "surprise," "joy," or "relaxation."

[0345] Step 4:

[0346] The server receives the results of the emotion analysis as input and generates a new prompt for the generating AI model. For example, it might issue a command such as, "The user felt surprised, so generate a new event that amplifies the surprise." Based on this prompt, the AI ​​model generates event data and updates the space environment model. The output is an event element appropriate to the user's emotion.

[0347] Step 5:

[0348] The terminal receives updated environmental information from the server and displays newly generated events and terrain on the user interface. The input is data received from the server, and based on this, it presents real-time environmental changes visually and aurally. Specific actions include the appearance of special characters and changes in the environment's colors and music. The output is a dynamically changing virtual environment.

[0349] (Application Example 2)

[0350] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0351] The problem that this invention aims to solve is that conventional virtual experience systems cannot provide an immersive, personalized experience that takes into account the user's emotional state. Because there is no dynamic content generation or environmental changes in response to the user's emotions, and only a uniform experience is provided, there is a problem in that user satisfaction is limited.

[0352] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0353] In this invention, the server includes means for randomly generating a space environment model using a generation means, means for exploring the space environment model and arranging virtual structures using a user operation means, means for acquiring the user's biometric data using an emotion analysis device and determining the emotional state in real time, and means for issuing commands to dynamically adjust the space environment model according to the emotional state. This makes it possible to provide a personalized virtual experience that takes into account the user's emotional changes.

[0354] A "generation means" is a device or program that has the function of randomly constructing space environment models within a system.

[0355] "User operation means" refers to a device or program that enables a user to explore a space environment model through an interface and freely place virtual structures.

[0356] An "evolutionary simulation tool" is a device or program that simulates the characteristics of a space environment model over time and generates the results.

[0357] An "emotion analysis device" is a device or program that acquires a user's biometric data and determines their emotional state in real time by analyzing facial expressions, voice, etc.

[0358] "Command issuing means" refers to a device or program that generates and issues commands for dynamically adjusting the space environment model based on the user's emotional state.

[0359] To implement this invention, a complex system is required that includes a user terminal, a server, and an emotion analysis device. This system combines cloud technology with real-time data analysis.

[0360] The server first generates a space environment model using a generation method and stores the model, which has random characteristics, in a database. Users can access this database via a terminal and explore the virtual environment. To collect user behavior data and biometric data, an emotion analysis device analyzes facial expressions, voice, heart rate, etc., in real time. This allows for highly accurate determination of the user's emotions.

[0361] For emotion analysis, the system uses "Azure Cognitive Services," software that provides advanced data analysis algorithms. The results of the analysis of the user's emotional state are sent to the server, and based on this, commands are generated to dynamically adjust various parameters of the environment model. For example, if the user is surprised by the beauty of a new planet, the server will introduce new events and terrain elements accordingly.

[0362] The device provides users with instant visual and audio feedback to enhance immersion. This is achieved by using the Unity graphics engine to render the generated space environment model in real time, providing a visually high-quality experience.

[0363] For example, when a user begins exploring using a VR headset, the server determines, based on facial recognition and voice data, that the user is in an "excited" state. This triggers the appearance of a space city or a colorful aerial show, allowing the user to have a more deeply personalized experience.

[0364] As an example of a prompt, you can issue commands to the system in the form of, "Generate a new space environment model. Analyze the user's emotions from their facial expressions and voice, and provide appropriate visual content and events."

[0365] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0366] Step 1:

[0367] The server generates a space environment model using a generation method. It receives random parameters as input and performs calculations based on them to construct the space environment model. The output is space environment model data stored in a database.

[0368] Step 2:

[0369] The user accesses the space environment using a terminal. The terminal provides visual information through a user interface. The input is space environment model data obtained from a database, and the output is visual information displayed on the user screen.

[0370] Step 3:

[0371] The user collects biometric data using an emotion analysis device. Inputs include biometric data such as the user's facial expressions, voice, and heart rate, which are sent to a server. Based on this data, emotion analysis is performed using Azure Cognitive Services. The output is data representing the user's emotional state.

[0372] Step 4:

[0373] The server generates commands to adjust the space environment model based on emotional state data. The input is emotional state data, and the server calculates the optimal arrangement to realize the user's desired experience based on this data. The output is the adjustment command for the environment model.

[0374] Step 5:

[0375] The device provides visual feedback to the user based on adjustment commands from the server. The input is the adjustment commands provided by the server, and Unity is used to render new visual content. As a result, new events and environmental changes are displayed on the user's screen in real time.

[0376] Step 6:

[0377] The user experiences a new environment and provides feedback to the system. The input is the user's new emotional changes and behaviors, which are collected again by the emotion analysis device and sent to the server as data for restarting the loop. The output is new emotional state data used for the next adjustment.

[0378] 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.

[0379] 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.

[0380] 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.

[0381] [Third Embodiment]

[0382] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0383] 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.

[0384] 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).

[0385] 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.

[0386] 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.

[0387] 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).

[0388] 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.

[0389] 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.

[0390] 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.

[0391] 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.

[0392] 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.

[0393] 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".

[0394] The system of this invention begins with a server generating a space environment model using a generation means. The generation means has the ability to randomly generate space environments with infinite variations based on multiple parameters (e.g., terrain, climate, ecosystem, etc.). The generated models are stored in a database so that users can select and access them.

[0395] When a user explores a new space environment, the terminal receives environment data generated from the server, and the exploration begins through an interface operated by the user. The user can visit various locations and observe terrain and features through interactive maps and 3D views. The user can also select specific locations and place virtual structures. In this process, the terminal communicates with the server in real time to provide the user with appropriate construction options.

[0396] The evolutionary simulation is run on a server and calculates how a space environment model changes over time. This includes, for example, changes in vegetation, long-term climate fluctuations, and the development of civilizations. The generated simulation results are sent to a terminal and visualized for the user. Based on these results, the user can experience a narrative from the past to the future.

[0397] When users engage in virtual sightseeing based on evolutionary simulations, the device constructs a Street View-style interface, allowing users to explore areas of interest in detail. This process utilizes evolutionary simulation data provided by the server, enabling it to deliver a rich virtual experience to the user.

[0398] For example, if a user selects an ice-covered planet, the generated environment will include icebergs and frozen lakes, with detailed graphics provided by procedural technology. The user can then choose a specific region on that planet and select to build a glass-domed city suited to that region. The server generates a city model that matches the region's climate data and sends it to the user's terminal, presenting a visualized completed image. The user can then explore and deepen their understanding of the ecosystem's development within the dome and external influences through an evolutionary simulation.

[0399] The following describes the processing flow.

[0400] Step 1:

[0401] The server receives a request to generate a space environment model. Using the generation method, random parameters are set, and a space environment model with diverse terrains, climates, and ecosystems is generated.

[0402] Step 2:

[0403] The server saves the generated space environment model to a database. Simultaneously, it updates and provides the user with a list of selectable planets.

[0404] Step 3:

[0405] When a user selects a planet of interest, the device retrieves the corresponding environmental data from the server and displays a visual exploration screen through the user interface.

[0406] Step 4:

[0407] The user initiates a search, selects a specific location, and issues instructions to place a virtual structure. The terminal sends this request to the server.

[0408] Step 5:

[0409] The server analyzes the terrain and climate data of the selected location, generates options for constructible structures, and sends them back to the terminal.

[0410] Step 6:

[0411] The terminal renders the selected construction option presented to the user in 3D graphics and displays it on the screen.

[0412] Step 7:

[0413] The server starts an evolutionary simulation based on the current space environment model. It calculates future environmental and civilizational changes and generates results.

[0414] Step 8:

[0415] The server sends evolutionary simulation result data to the terminal, which then uses it to display visualized future scenarios to the user.

[0416] Step 9:

[0417] Based on the results of evolutionary simulations that interest the user, they select a virtual tour. The device then builds a street view-style exploration interface, providing a detailed virtual tour.

[0418] (Example 1)

[0419] 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."

[0420] Conventional virtual environment generation systems could only offer a limited variety of environments, restricting the scope of user exploration and creation. Furthermore, it was difficult to visualize changes in the environment and civilization over time in real time and provide users with a consistent experience. It is necessary to overcome these constraints and realize more diverse and interactive virtual experiences.

[0421] 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.

[0422] In this invention, the server includes means for randomly generating and saving space environment models based on multiple parameters using a generation means; means for exploring the space environment models using a user terminal and selecting and placing virtual structures using procedural technology; and means for simulating the characteristics of the space environment models, including vegetation changes, climate change, and civilization development, over time using an evolutionary simulation means, and providing them to the user in real time. This allows the user to freely explore a wide variety of space environments and experience evolving environments and civilizations in real time.

[0423] A "generation method" is a method for randomly generating and saving space environment models based on multiple parameters.

[0424] A "user terminal" is a device that a user operates to explore the space environment model and select and place virtual structures.

[0425] "Procedural techniques" are methods for dynamically generating complex environments and structures based on algorithms.

[0426] A "virtual structure" is a digital object that a user can select and place at a designated location in the space environment.

[0427] An "evolutionary simulation method" is a method for calculating the characteristics of a space environment model that change over time and providing the results to the user.

[0428] "Visualization data" refers to data used to visually display the results of evolutionary simulations to the user.

[0429] A "virtual tourism experience" is a virtual journey in which users can explore a digital environment and experience changes through evolutionary simulations.

[0430] This invention is a system for users to explore a rich space environment and experience an evolving virtual world. The system functions through the coordinated operation of a server and terminals.

[0431] The server uses a generative AI model to randomly generate space environment models based on multiple parameters (e.g., terrain, climate, ecosystem, etc.). The server employs procedural techniques to create high-quality, detailed environments. The generated environment models are stored in a database and made accessible to users. The server also simulates environmental changes over time through evolutionary simulation methods, providing users with visualized data.

[0432] The terminal receives environmental data transmitted from the server and provides an interface that allows users to interactively explore the space environment. Through the terminal, users can place virtual structures at specific locations. During this operation, the terminal communicates with the server in real time to provide construction options suitable for the selected area.

[0433] As a concrete example, consider a scenario where a user explores an ice-covered planet. The device renders detailed 3D graphics and uses climate data provided by a server to assist in the construction of a glass-domed city suitable for the user's chosen location. Based on the generated model, the user can tour and gain a deeper understanding of the ecosystem's development and external influences within the dome.

[0434] An example of a prompt message is, "Build a glass-domed city on an ice-covered planet. Set the appropriate parameters and experience the evolutionary simulation." This system allows users to experience a new virtual world from multiple perspectives and learn from it.

[0435] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0436] Step 1:

[0437] The server generates a space environment model using a generative AI model. The input to this process is the prompt statements and associated parameters selected by the user. Based on these inputs, the server uses procedural techniques to create a space environment with detailed topography, climate, and ecosystems, and stores the output in a database. Specifically, the algorithm numerically generates topographic maps and vegetation patterns, outputting multidimensional environmental data.

[0438] Step 2:

[0439] The server sends the generated space environment model to the user's terminal. The input is the environment model stored in the database, which the server converts into a format that the user's terminal can understand and sends. The output is the environment data received by the user's terminal. The terminal receives this data and starts a 3D view that the user can explore.

[0440] Step 3:

[0441] The user explores the environment and selects virtual structures using the terminal's interface. Input consists of the user's selections on the interface and environment model information received from the server. The terminal sends these selections to the server and retrieves data related to the placement of the structures (e.g., climate conditions and terrain suitability).

[0442] Step 4:

[0443] The server calculates the possible placement options for the build selected by the user and sends the results to the terminal. The inputs to this process are the user's selected build location and the climate and terrain data held by the server. The server uses this data to determine the appropriate build option in real time and sends it as output to the terminal. The terminal visualizes this and displays it to the user.

[0444] Step 5:

[0445] The user begins a virtual tour through an evolutionary simulation. The input is the result of the evolutionary simulation provided by the server. The terminal generates an interactive Street View-style presentation based on this result and provides it to the user. Through this interface, the user observes and experiences the passage of time in the environment and civilization.

[0446] (Application Example 1)

[0447] 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."

[0448] Conventional virtual environment systems offer limited exploration and experience options, creating a demand for more immersive virtual tourism experiences. Furthermore, there's a need to visually enjoy diverse evolutionary processes through new simulations based on space environments.

[0449] 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.

[0450] In this invention, the server includes means for randomly generating space environment models using generation means, means for exploring the space environment models and placing virtual structures using user operation means, means for simulating the characteristics of the space environment models over time using evolutionary simulation means and outputting the results, means for visualizing the results of the evolutionary simulation using visualization means and providing the user with a virtual sightseeing experience, and means for exploring the generated space environment using a smartphone or head-mounted display. This makes it possible for users to enjoy immersive and individual experiences in diverse space environments.

[0451] The "generation method" refers to a function for randomly generating space environment models.

[0452] "User operation means" refers to functions that allow users to explore the space environment model and place virtual structures.

[0453] "Evolutionary simulation means" refers to a function that simulates the characteristics of a space environment model over time and outputs the results.

[0454] "Visualization means" refers to a function that visualizes the results of evolutionary simulations and provides users with a virtual tourism experience.

[0455] "Exploration methods using smartphones or head-mounted displays" refers to functions for exploring the space environment generated using these devices.

[0456] In a system implementing this invention, the server first uses a generation means to randomly generate space environment models with infinite variations based on multiple parameters. These environment models are stored in a database and accessible to the user. When a user explores a new space environment, the terminal receives the environment data generated from the server via a smartphone or head-mounted display and begins exploring through the interface. The user can utilize interactive maps and 3D views to explore the space environment and place virtual structures of their choice.

[0457] An evolutionary simulation is executed on the server, applying temporal changes to a space environment model and calculating things like vegetation, climate, and civilization development. The server visualizes the results of the evolutionary simulation and provides the user with a virtual sightseeing experience through an interface. For example, a user who chooses an ice-covered planet can tour the detailed environment, including icebergs and frozen lakes, and virtually construct a glass-domed city in a specific region. In this case, the server generates a city model that matches the climate of that region, visualizes it, and sends it to the user's terminal. The user can then virtually tour the ecosystem development in this environment.

[0458] The system is implemented using Python as the programming language, with the `random` module from Python's standard library used for random generation. Users explore the space environment through hardware devices such as smartphones and head-mounted displays. Web technologies are used for visualization, with HTML and JavaScript used to build the interface.

[0459] As a concrete example of a prompt message for a generative AI model, one could use an instruction in the form of, "Generate an alien jungle environment near the equator. Simulate forests, diverse life forms, and ecosystem evolution."

[0460] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0461] Step 1:

[0462] The server uses a generation mechanism to randomly generate space environment models with infinite variations based on multiple parameters (topography, climate, ecosystem, etc.). The input to this process is pre-set environment parameters, and the output is the generated space environment model. The server uses a random numerical generation algorithm to determine the topography, climate, and flora and fauna composition of the environment.

[0463] Step 2:

[0464] The generated space environment model is stored in the server's database, allowing users to access it later. At this stage, data processing is performed to properly organize and store the environment model's data structure in the database. The input is the generated environment model data, and the output is the environment model entry stored in the database.

[0465] Step 3:

[0466] The user connects to the server via a terminal and selects a space environment of interest. The input is the user's selection, and the output is data about the selected environment. The terminal sends a request to the server, and the received environment data is displayed via the user interface.

[0467] Step 4:

[0468] The user uses a terminal to explore the received space environment model and place virtual structures. During this process, user interaction is incorporated as input, and the output is an updated environment model. The terminal application displays an interactive map and 3D view, updating the environment in real time based on user actions.

[0469] Step 5:

[0470] The server uses evolutionary simulation methods to simulate the characteristics of a space environment model over time. The input is the latest environment model, and the output is the environment model with temporal changes due to the simulation. At this stage, vegetation growth, climate change, and the development of a virtual civilization are calculated.

[0471] Step 6:

[0472] The server generates visualization data from the results of the evolutionary simulation and sends it to the terminal. The input is the simulation result, and the output is data formatted for visualization. The server creates the visualization data using 3D graphics libraries, etc.

[0473] Step 7:

[0474] The terminal provides the user with a virtual sightseeing experience based on the received visualization data. The input is visualization data from the server, and the output is visual information presented on the user's display. The terminal constructs a Street View-style interface and displays the evolutionary simulation process to the user.

[0475] 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.

[0476] The system of this invention incorporates an emotion engine that recognizes and responds to the user's emotional state, thereby enabling personalized experiences. The server first generates a space environment model using a generation means and stores it in a database. Multiple users can access this model, enabling new space explorations.

[0477] As the user explores the space environment, the terminal provides visual information through the user interface and tracks the user's actions. The emotion engine analyzes the user's interactions and biometric data (e.g., facial expressions, voice tone, heart rate, etc.) to determine the user's emotions in real time. Based on this determination, the server issues adjustment parameters to the space environment model, dynamically changing the environment to match the emotion.

[0478] For example, if a user expresses surprise, the server can generate unexpected new terrain elements or events to provide a more immersive experience. Conversely, if the user is relaxed, the device can visually reflect smoother, more soothing music and scenery.

[0479] The evolutionary simulation runs on a server and simulates long-term changes in the generated environment. The results of this simulation are customized according to the user's emotions via an emotion engine and visualized on the device. For example, it provides a personalized experience for users seeking emotional stimulation, such as highlighting scenarios of rapid civilizational development or turbulent climate change.

[0480] For example, if a user selects a vibrant planet, the emotion engine detects the user's excitement, and the server generates colorful aerial shows and special creature appearance events. The device then renders and visualizes these in real time, providing a unique sightseeing experience with special decorations and effects. In this way, users can enjoy a more deeply personalized experience that is linked to their own emotions.

[0481] The following describes the processing flow.

[0482] Step 1:

[0483] The server constructs a random space environment model using a generation method. This model is then stored in a database and made available for user access.

[0484] Step 2:

[0485] When a user begins exploring a space environment model they have selected, the terminal retrieves the relevant data from the server and displays a visualized exploration screen through the user interface.

[0486] Step 3:

[0487] The device tracks the user's movements and collects biometric data (facial expressions, voice, etc.) through the camera and microphone. Based on this, the emotion engine analyzes and recognizes the user's emotions.

[0488] Step 4:

[0489] Based on the recognized emotion data, the server adjusts the environment parameters. For example, if the emotion of surprise is detected, new terrain or phenomena are generated and incorporated into the environment.

[0490] Step 5:

[0491] When a user selects a specific location and wishes to place a virtual structure, the terminal sends this instruction to the server. Based on emotional judgment, the server generates the most suitable structure variation and sends it to the terminal.

[0492] Step 6:

[0493] The device renders the structure selected by the user from the options presented to it in 3D graphics and displays the completed image on the screen.

[0494] Step 7:

[0495] The server customizes the results of evolutionary simulations based on emotions and runs those simulations. It generates future environmental changes, including unexpected changes and narrative scenarios that respond to emotions.

[0496] Step 8:

[0497] The server sends the simulation results to the terminal, which then visualizes and displays the results to the user as a personalized experience.

[0498] Step 9:

[0499] When a user begins a virtual tour, the device generates an emotion-responsive Street View-style interface, providing detailed scenes and actions to enhance the user's emotional experience.

[0500] (Example 2)

[0501] 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."

[0502] Modern virtual experience systems face challenges in providing immersive, personalized experiences because they struggle to dynamically adjust the environment in real time in response to user emotions and individual reactions. Furthermore, the generated virtual environment is often static, preventing the provision of a personalized experience that adapts to the diverse emotions of users.

[0503] 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.

[0504] In this invention, the server includes means for generating a space environment model using generation means, means for collecting the user's biometric data and determining their emotional state using emotion analysis means, and means for dynamically changing the space environment model according to the emotional state using adjustment means. This makes it possible to provide an immersive, personalized experience tailored to the user's emotions.

[0505] "Generative means" refers to the processes and technologies for constructing space environment models and representing them in digital format.

[0506] A "space environment model" is a digital representation that recreates celestial bodies and spaces that could exist in the universe in a virtual space, allowing users to explore them.

[0507] "Emotional analysis means" refers to technologies and algorithms that collect a user's biometric data and use it to determine the user's emotional state.

[0508] "Adjustment means" refers to a technology that dynamically changes various elements of the space environment model based on the user's emotional state to provide the user with an appropriate experience.

[0509] "Visual information provision means" refers to methods and technologies for visually presenting information so that users can see and experience a model of the space environment.

[0510] "Evolutionary simulation" is a process for simulating and analyzing the changes in various elements of a space environment model over time.

[0511] A "dynamic visualization method" is a technology that updates and presents visual information to the user in real time in response to evolutionary simulations or other changes.

[0512] "Biometric data" refers to data that indicates a user's physical characteristics and condition, such as facial expressions, heart rate, and voice tone.

[0513] One embodiment of the present invention is a virtual system that provides a user experience incorporating an emotion engine. This system uses emotion analysis technology to determine the user's emotional state and dynamically adjusts the digital environment based on this determination, thereby realizing a more personalized and immersive experience.

[0514] The server uses a generative AI model via a generation mechanism to construct a space environment model. This model includes celestial bodies, terrain, and climate in the virtual space. This forms the basis for users to explore the virtual universe. The generated data is stored in a database, which can be accessed simultaneously by multiple users.

[0515] The device uses hardware such as a camera, microphone, and heart rate sensor to collect real-time biometric data from the user. This data is received by an emotion engine, which uses machine learning algorithms to determine the emotional state. For example, facial recognition technology is used to analyze the user's facial expressions and obtain emotion labels such as "smiling" or "surprised."

[0516] The server updates the space environment model using adjustment mechanisms based on the results of the emotion engine. Specifically, it inputs prompt text into the generating AI model and dynamically generates new terrain and events. This adjustment allows for real-time environmental changes that reflect the user's emotions.

[0517] One concrete example of a prompt message is, "When the user is surprised, please output instructions to generate a new adventure event." This allows the server to provide the user with new exploration elements that are relevant to their surprise.

[0518] The device receives updates from the server and displays new visuals and audio in the user interface. Through this, the user can experience the evolved virtual environment visually and aurally. This entire process allows the user to enjoy a deeply personalized experience that responds to their emotions.

[0519] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0520] Step 1:

[0521] The server generates a space environment model using a generation mechanism. During this process, the AI ​​model is given the prompt "Create a new space environment" as input. Based on this prompt, the AI ​​model generates environment data, including details of celestial body configurations and terrain, and stores this data in a database. The output is a digital space environment accessible to multiple users.

[0522] Step 2:

[0523] The user accesses and begins exploring the generated space environment via a terminal. The terminal receives user commands and operations as input and displays the necessary information through a visual interface. Specific actions include the user selecting a planet and zooming in and rotating it. The output is a view of the specific environment the user is interacting with.

[0524] Step 3:

[0525] The device uses a camera, microphone, and heart rate sensor to collect real-time biometric data from the user. It takes data such as the user's facial expressions, voice tone, and heart rate as input and sends it to the emotion engine. The emotion engine analyzes this data to determine the user's emotional state. The output is an emotion label such as "surprise," "joy," or "relaxation."

[0526] Step 4:

[0527] The server receives the results of the emotion analysis as input and generates a new prompt for the generating AI model. For example, it might issue a command such as, "The user felt surprised, so generate a new event that amplifies the surprise." Based on this prompt, the AI ​​model generates event data and updates the space environment model. The output is an event element appropriate to the user's emotion.

[0528] Step 5:

[0529] The terminal receives updated environmental information from the server and displays newly generated events and terrain on the user interface. The input is data received from the server, and based on this, it presents real-time environmental changes visually and aurally. Specific actions include the appearance of special characters and changes in the environment's colors and music. The output is a dynamically changing virtual environment.

[0530] (Application Example 2)

[0531] 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."

[0532] The problem that this invention aims to solve is that conventional virtual experience systems cannot provide an immersive, personalized experience that takes into account the user's emotional state. Because there is no dynamic content generation or environmental changes in response to the user's emotions, and only a uniform experience is provided, there is a problem in that user satisfaction is limited.

[0533] 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.

[0534] In this invention, the server includes means for randomly generating a space environment model using a generation means, means for exploring the space environment model and arranging virtual structures using a user operation means, means for acquiring the user's biometric data using an emotion analysis device and determining the emotional state in real time, and means for issuing commands to dynamically adjust the space environment model according to the emotional state. This makes it possible to provide a personalized virtual experience that takes into account the user's emotional changes.

[0535] A "generation means" is a device or program that has the function of randomly constructing space environment models within a system.

[0536] "User operation means" refers to a device or program that enables a user to explore a space environment model through an interface and freely place virtual structures.

[0537] An "evolutionary simulation tool" is a device or program that simulates the characteristics of a space environment model over time and generates the results.

[0538] An "emotion analysis device" is a device or program that acquires a user's biometric data and determines their emotional state in real time by analyzing facial expressions, voice, etc.

[0539] "Command issuing means" refers to a device or program that generates and issues commands for dynamically adjusting the space environment model based on the user's emotional state.

[0540] To implement this invention, a complex system is required that includes a user terminal, a server, and an emotion analysis device. This system combines cloud technology with real-time data analysis.

[0541] The server first generates a space environment model using a generation method and stores the model, which has random characteristics, in a database. Users can access this database via a terminal and explore the virtual environment. To collect user behavior data and biometric data, an emotion analysis device analyzes facial expressions, voice, heart rate, etc., in real time. This allows for highly accurate determination of the user's emotions.

[0542] For emotion analysis, the system uses "Azure Cognitive Services," software that provides advanced data analysis algorithms. The results of the analysis of the user's emotional state are sent to the server, and based on this, commands are generated to dynamically adjust various parameters of the environment model. For example, if the user is surprised by the beauty of a new planet, the server will introduce new events and terrain elements accordingly.

[0543] The device provides users with instant visual and audio feedback to enhance immersion. This is achieved by using the Unity graphics engine to render the generated space environment model in real time, providing a visually high-quality experience.

[0544] For example, when a user begins exploring using a VR headset, the server determines, based on facial recognition and voice data, that the user is in an "excited" state. This triggers the appearance of a space city or a colorful aerial show, allowing the user to have a more deeply personalized experience.

[0545] As an example of a prompt, you can issue commands to the system in the form of, "Generate a new space environment model. Analyze the user's emotions from their facial expressions and voice, and provide appropriate visual content and events."

[0546] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0547] Step 1:

[0548] The server generates a space environment model using a generation method. It receives random parameters as input and performs calculations based on them to construct the space environment model. The output is space environment model data stored in a database.

[0549] Step 2:

[0550] The user accesses the space environment using a terminal. The terminal provides visual information through a user interface. The input is space environment model data obtained from a database, and the output is visual information displayed on the user screen.

[0551] Step 3:

[0552] The user collects biometric data using an emotion analysis device. Inputs include biometric data such as the user's facial expressions, voice, and heart rate, which are sent to a server. Based on this data, emotion analysis is performed using Azure Cognitive Services. The output is data representing the user's emotional state.

[0553] Step 4:

[0554] The server generates commands to adjust the space environment model based on emotional state data. The input is emotional state data, and the server calculates the optimal arrangement to realize the user's desired experience based on this data. The output is the adjustment command for the environment model.

[0555] Step 5:

[0556] The device provides visual feedback to the user based on adjustment commands from the server. The input is the adjustment commands provided by the server, and Unity is used to render new visual content. As a result, new events and environmental changes are displayed on the user's screen in real time.

[0557] Step 6:

[0558] The user experiences a new environment and provides feedback to the system. The input is the user's new emotional changes and behaviors, which are collected again by the emotion analysis device and sent to the server as data for restarting the loop. The output is new emotional state data used for the next adjustment.

[0559] 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.

[0560] 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.

[0561] 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.

[0562] [Fourth Embodiment]

[0563] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0564] 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.

[0565] 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).

[0566] 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.

[0567] 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.

[0568] 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).

[0569] 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.

[0570] 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.

[0571] 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.

[0572] 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.

[0573] 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.

[0574] 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.

[0575] 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".

[0576] The system of this invention begins with a server generating a space environment model using a generation means. The generation means has the ability to randomly generate space environments with infinite variations based on multiple parameters (e.g., terrain, climate, ecosystem, etc.). The generated models are stored in a database so that users can select and access them.

[0577] When a user explores a new space environment, the terminal receives environment data generated from the server, and the exploration begins through an interface operated by the user. The user can visit various locations and observe terrain and features through interactive maps and 3D views. The user can also select specific locations and place virtual structures. In this process, the terminal communicates with the server in real time to provide the user with appropriate construction options.

[0578] The evolutionary simulation is run on a server and calculates how a space environment model changes over time. This includes, for example, changes in vegetation, long-term climate fluctuations, and the development of civilizations. The generated simulation results are sent to a terminal and visualized for the user. Based on these results, the user can experience a narrative from the past to the future.

[0579] When users engage in virtual sightseeing based on evolutionary simulations, the device constructs a Street View-style interface, allowing users to explore areas of interest in detail. This process utilizes evolutionary simulation data provided by the server, enabling it to deliver a rich virtual experience to the user.

[0580] For example, if a user selects an ice-covered planet, the generated environment will include icebergs and frozen lakes, with detailed graphics provided by procedural technology. The user can then choose a specific region on that planet and select to build a glass-domed city suited to that region. The server generates a city model that matches the region's climate data and sends it to the user's terminal, presenting a visualized completed image. The user can then explore and deepen their understanding of the ecosystem's development within the dome and external influences through an evolutionary simulation.

[0581] The following describes the processing flow.

[0582] Step 1:

[0583] The server receives a request to generate a space environment model. Using the generation method, random parameters are set, and a space environment model with diverse terrains, climates, and ecosystems is generated.

[0584] Step 2:

[0585] The server saves the generated space environment model to a database. Simultaneously, it updates and provides the user with a list of selectable planets.

[0586] Step 3:

[0587] When a user selects a planet of interest, the device retrieves the corresponding environmental data from the server and displays a visual exploration screen through the user interface.

[0588] Step 4:

[0589] The user initiates a search, selects a specific location, and issues instructions to place a virtual structure. The terminal sends this request to the server.

[0590] Step 5:

[0591] The server analyzes the terrain and climate data of the selected location, generates options for constructible structures, and sends them back to the terminal.

[0592] Step 6:

[0593] The terminal renders the selected construction option presented to the user in 3D graphics and displays it on the screen.

[0594] Step 7:

[0595] The server starts an evolutionary simulation based on the current space environment model. It calculates future environmental and civilizational changes and generates results.

[0596] Step 8:

[0597] The server sends evolutionary simulation result data to the terminal, which then uses it to display visualized future scenarios to the user.

[0598] Step 9:

[0599] Based on the results of evolutionary simulations that interest the user, they select a virtual tour. The device then builds a street view-style exploration interface, providing a detailed virtual tour.

[0600] (Example 1)

[0601] 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".

[0602] Conventional virtual environment generation systems could only offer a limited variety of environments, restricting the scope of user exploration and creation. Furthermore, it was difficult to visualize changes in the environment and civilization over time in real time and provide users with a consistent experience. It is necessary to overcome these constraints and realize more diverse and interactive virtual experiences.

[0603] 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.

[0604] In this invention, the server includes means for randomly generating and saving space environment models based on multiple parameters using a generation means; means for exploring the space environment models using a user terminal and selecting and placing virtual structures using procedural technology; and means for simulating the characteristics of the space environment models, including vegetation changes, climate change, and civilization development, over time using an evolutionary simulation means, and providing them to the user in real time. This allows the user to freely explore a wide variety of space environments and experience evolving environments and civilizations in real time.

[0605] A "generation method" is a method for randomly generating and saving space environment models based on multiple parameters.

[0606] A "user terminal" is a device that a user operates to explore the space environment model and select and place virtual structures.

[0607] "Procedural techniques" are methods for dynamically generating complex environments and structures based on algorithms.

[0608] A "virtual structure" is a digital object that a user can select and place at a designated location in the space environment.

[0609] An "evolutionary simulation method" is a method for calculating the characteristics of a space environment model that change over time and providing the results to the user.

[0610] "Visualization data" refers to data used to visually display the results of evolutionary simulations to the user.

[0611] A "virtual tourism experience" is a virtual journey in which users can explore a digital environment and experience changes through evolutionary simulations.

[0612] This invention is a system for users to explore a rich space environment and experience an evolving virtual world. The system functions through the coordinated operation of a server and terminals.

[0613] The server uses a generative AI model to randomly generate space environment models based on multiple parameters (e.g., terrain, climate, ecosystem, etc.). The server employs procedural techniques to create high-quality, detailed environments. The generated environment models are stored in a database and made accessible to users. The server also simulates environmental changes over time through evolutionary simulation methods, providing users with visualized data.

[0614] The terminal receives environmental data transmitted from the server and provides an interface that allows users to interactively explore the space environment. Through the terminal, users can place virtual structures at specific locations. During this operation, the terminal communicates with the server in real time to provide construction options suitable for the selected area.

[0615] As a concrete example, consider a scenario where a user explores an ice-covered planet. The device renders detailed 3D graphics and uses climate data provided by a server to assist in the construction of a glass-domed city suitable for the user's chosen location. Based on the generated model, the user can tour and gain a deeper understanding of the ecosystem's development and external influences within the dome.

[0616] An example of a prompt message is, "Build a glass-domed city on an ice-covered planet. Set the appropriate parameters and experience the evolutionary simulation." This system allows users to experience a new virtual world from multiple perspectives and learn from it.

[0617] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0618] Step 1:

[0619] The server generates a space environment model using a generative AI model. The input to this process is the prompt statements and associated parameters selected by the user. Based on these inputs, the server uses procedural techniques to create a space environment with detailed topography, climate, and ecosystems, and stores the output in a database. Specifically, the algorithm numerically generates topographic maps and vegetation patterns, outputting multidimensional environmental data.

[0620] Step 2:

[0621] The server sends the generated space environment model to the user's terminal. The input is the environment model stored in the database, which the server converts into a format that the user's terminal can understand and sends. The output is the environment data received by the user's terminal. The terminal receives this data and starts a 3D view that the user can explore.

[0622] Step 3:

[0623] The user explores the environment and selects virtual structures using the terminal's interface. Input consists of the user's selections on the interface and environment model information received from the server. The terminal sends these selections to the server and retrieves data related to the placement of the structures (e.g., climate conditions and terrain suitability).

[0624] Step 4:

[0625] The server calculates the possible placement options for the build selected by the user and sends the results to the terminal. The inputs to this process are the user's selected build location and the climate and terrain data held by the server. The server uses this data to determine the appropriate build option in real time and sends it as output to the terminal. The terminal visualizes this and displays it to the user.

[0626] Step 5:

[0627] The user begins a virtual tour through an evolutionary simulation. The input is the result of the evolutionary simulation provided by the server. The terminal generates an interactive Street View-style presentation based on this result and provides it to the user. Through this interface, the user observes and experiences the passage of time in the environment and civilization.

[0628] (Application Example 1)

[0629] 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".

[0630] Conventional virtual environment systems offer limited exploration and experience options, creating a demand for more immersive virtual tourism experiences. Furthermore, there's a need to visually enjoy diverse evolutionary processes through new simulations based on space environments.

[0631] 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.

[0632] In this invention, the server includes means for randomly generating space environment models using generation means, means for exploring the space environment models and placing virtual structures using user operation means, means for simulating the characteristics of the space environment models over time using evolutionary simulation means and outputting the results, means for visualizing the results of the evolutionary simulation using visualization means and providing the user with a virtual sightseeing experience, and means for exploring the generated space environment using a smartphone or head-mounted display. This makes it possible for users to enjoy immersive and individual experiences in diverse space environments.

[0633] The "generation method" refers to a function for randomly generating space environment models.

[0634] "User operation means" refers to functions that allow users to explore the space environment model and place virtual structures.

[0635] "Evolutionary simulation means" refers to a function that simulates the characteristics of a space environment model over time and outputs the results.

[0636] "Visualization means" refers to a function that visualizes the results of evolutionary simulations and provides users with a virtual tourism experience.

[0637] "Exploration methods using smartphones or head-mounted displays" refers to functions for exploring the space environment generated using these devices.

[0638] In a system implementing this invention, the server first uses a generation means to randomly generate space environment models with infinite variations based on multiple parameters. These environment models are stored in a database and accessible to the user. When a user explores a new space environment, the terminal receives the environment data generated from the server via a smartphone or head-mounted display and begins exploring through the interface. The user can utilize interactive maps and 3D views to explore the space environment and place virtual structures of their choice.

[0639] An evolutionary simulation is executed on the server, applying temporal changes to a space environment model and calculating things like vegetation, climate, and civilization development. The server visualizes the results of the evolutionary simulation and provides the user with a virtual sightseeing experience through an interface. For example, a user who chooses an ice-covered planet can tour the detailed environment, including icebergs and frozen lakes, and virtually construct a glass-domed city in a specific region. In this case, the server generates a city model that matches the climate of that region, visualizes it, and sends it to the user's terminal. The user can then virtually tour the ecosystem development in this environment.

[0640] The system is implemented using Python as the programming language, with the `random` module from Python's standard library used for random generation. Users explore the space environment through hardware devices such as smartphones and head-mounted displays. Web technologies are used for visualization, with HTML and JavaScript used to build the interface.

[0641] As a concrete example of a prompt message for a generative AI model, one could use an instruction in the form of, "Generate an alien jungle environment near the equator. Simulate forests, diverse life forms, and ecosystem evolution."

[0642] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0643] Step 1:

[0644] The server uses a generation mechanism to randomly generate space environment models with infinite variations based on multiple parameters (topography, climate, ecosystem, etc.). The input to this process is pre-set environment parameters, and the output is the generated space environment model. The server uses a random numerical generation algorithm to determine the topography, climate, and flora and fauna composition of the environment.

[0645] Step 2:

[0646] The generated space environment model is stored in the server's database, allowing users to access it later. At this stage, data processing is performed to properly organize and store the environment model's data structure in the database. The input is the generated environment model data, and the output is the environment model entry stored in the database.

[0647] Step 3:

[0648] The user connects to the server via a terminal and selects a space environment of interest. The input is the user's selection, and the output is data about the selected environment. The terminal sends a request to the server, and the received environment data is displayed via the user interface.

[0649] Step 4:

[0650] The user uses a terminal to explore the received space environment model and place virtual structures. During this process, user interaction is incorporated as input, and the output is an updated environment model. The terminal application displays an interactive map and 3D view, updating the environment in real time based on user actions.

[0651] Step 5:

[0652] The server uses evolutionary simulation methods to simulate the characteristics of a space environment model over time. The input is the latest environment model, and the output is the environment model with temporal changes due to the simulation. At this stage, vegetation growth, climate change, and the development of a virtual civilization are calculated.

[0653] Step 6:

[0654] The server generates visualization data from the results of the evolutionary simulation and sends it to the terminal. The input is the simulation result, and the output is data formatted for visualization. The server creates the visualization data using 3D graphics libraries, etc.

[0655] Step 7:

[0656] The terminal provides the user with a virtual sightseeing experience based on the received visualization data. The input is visualization data from the server, and the output is visual information presented on the user's display. The terminal constructs a Street View-style interface and displays the evolutionary simulation process to the user.

[0657] 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.

[0658] The system of this invention incorporates an emotion engine that recognizes and responds to the user's emotional state, thereby enabling personalized experiences. The server first generates a space environment model using a generation means and stores it in a database. Multiple users can access this model, enabling new space explorations.

[0659] As the user explores the space environment, the terminal provides visual information through the user interface and tracks the user's actions. The emotion engine analyzes the user's interactions and biometric data (e.g., facial expressions, voice tone, heart rate, etc.) to determine the user's emotions in real time. Based on this determination, the server issues adjustment parameters to the space environment model, dynamically changing the environment to match the emotion.

[0660] For example, if a user expresses surprise, the server can generate unexpected new terrain elements or events to provide a more immersive experience. Conversely, if the user is relaxed, the device can visually reflect smoother, more soothing music and scenery.

[0661] The evolutionary simulation runs on a server and simulates long-term changes in the generated environment. The results of this simulation are customized according to the user's emotions via an emotion engine and visualized on the device. For example, it provides a personalized experience for users seeking emotional stimulation, such as highlighting scenarios of rapid civilizational development or turbulent climate change.

[0662] For example, if a user selects a vibrant planet, the emotion engine detects the user's excitement, and the server generates colorful aerial shows and special creature appearance events. The device then renders and visualizes these in real time, providing a unique sightseeing experience with special decorations and effects. In this way, users can enjoy a more deeply personalized experience that is linked to their own emotions.

[0663] The following describes the processing flow.

[0664] Step 1:

[0665] The server constructs a random space environment model using a generation method. This model is then stored in a database and made available for user access.

[0666] Step 2:

[0667] When a user begins exploring a space environment model they have selected, the terminal retrieves the relevant data from the server and displays a visualized exploration screen through the user interface.

[0668] Step 3:

[0669] The device tracks the user's movements and collects biometric data (facial expressions, voice, etc.) through the camera and microphone. Based on this, the emotion engine analyzes and recognizes the user's emotions.

[0670] Step 4:

[0671] Based on the recognized emotion data, the server adjusts the environment parameters. For example, if the emotion of surprise is detected, new terrain or phenomena are generated and incorporated into the environment.

[0672] Step 5:

[0673] When a user selects a specific location and wishes to place a virtual structure, the terminal sends this instruction to the server. Based on emotional judgment, the server generates the most suitable structure variation and sends it to the terminal.

[0674] Step 6:

[0675] The device renders the structure selected by the user from the options presented to it in 3D graphics and displays the completed image on the screen.

[0676] Step 7:

[0677] The server customizes the results of evolutionary simulations based on emotions and runs those simulations. It generates future environmental changes, including unexpected changes and narrative scenarios that respond to emotions.

[0678] Step 8:

[0679] The server sends the simulation results to the terminal, which then visualizes and displays the results to the user as a personalized experience.

[0680] Step 9:

[0681] When a user begins a virtual tour, the device generates an emotion-responsive Street View-style interface, providing detailed scenes and actions to enhance the user's emotional experience.

[0682] (Example 2)

[0683] 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".

[0684] Modern virtual experience systems face challenges in providing immersive, personalized experiences because they struggle to dynamically adjust the environment in real time in response to user emotions and individual reactions. Furthermore, the generated virtual environment is often static, preventing the provision of a personalized experience that adapts to the diverse emotions of users.

[0685] 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.

[0686] In this invention, the server includes means for generating a space environment model using generation means, means for collecting the user's biometric data and determining their emotional state using emotion analysis means, and means for dynamically changing the space environment model according to the emotional state using adjustment means. This makes it possible to provide an immersive, personalized experience tailored to the user's emotions.

[0687] "Generative means" refers to the processes and technologies for constructing space environment models and representing them in digital format.

[0688] A "space environment model" is a digital representation that recreates celestial bodies and spaces that could exist in the universe in a virtual space, allowing users to explore them.

[0689] "Emotional analysis means" refers to technologies and algorithms that collect a user's biometric data and use it to determine the user's emotional state.

[0690] "Adjustment means" refers to a technology that dynamically changes various elements of the space environment model based on the user's emotional state to provide the user with an appropriate experience.

[0691] "Visual information provision means" refers to methods and technologies for visually presenting information so that users can see and experience a model of the space environment.

[0692] "Evolutionary simulation" is a process for simulating and analyzing the changes in various elements of a space environment model over time.

[0693] A "dynamic visualization method" is a technology that updates and presents visual information to the user in real time in response to evolutionary simulations or other changes.

[0694] "Biometric data" refers to data that indicates a user's physical characteristics and condition, such as facial expressions, heart rate, and voice tone.

[0695] One embodiment of the present invention is a virtual system that provides a user experience incorporating an emotion engine. This system uses emotion analysis technology to determine the user's emotional state and dynamically adjusts the digital environment based on this determination, thereby realizing a more personalized and immersive experience.

[0696] The server uses a generative AI model via a generation mechanism to construct a space environment model. This model includes celestial bodies, terrain, and climate in the virtual space. This forms the basis for users to explore the virtual universe. The generated data is stored in a database, which can be accessed simultaneously by multiple users.

[0697] The device uses hardware such as a camera, microphone, and heart rate sensor to collect real-time biometric data from the user. This data is received by an emotion engine, which uses machine learning algorithms to determine the emotional state. For example, facial recognition technology is used to analyze the user's facial expressions and obtain emotion labels such as "smiling" or "surprised."

[0698] The server updates the space environment model using adjustment mechanisms based on the results of the emotion engine. Specifically, it inputs prompt text into the generating AI model and dynamically generates new terrain and events. This adjustment allows for real-time environmental changes that reflect the user's emotions.

[0699] One concrete example of a prompt message is, "When the user is surprised, please output instructions to generate a new adventure event." This allows the server to provide the user with new exploration elements that are relevant to their surprise.

[0700] The device receives updates from the server and displays new visuals and audio in the user interface. Through this, the user can experience the evolved virtual environment visually and aurally. This entire process allows the user to enjoy a deeply personalized experience that responds to their emotions.

[0701] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0702] Step 1:

[0703] The server generates a space environment model using a generation mechanism. During this process, the AI ​​model is given the prompt "Create a new space environment" as input. Based on this prompt, the AI ​​model generates environment data, including details of celestial body configurations and terrain, and stores this data in a database. The output is a digital space environment accessible to multiple users.

[0704] Step 2:

[0705] The user accesses and begins exploring the generated space environment via a terminal. The terminal receives user commands and operations as input and displays the necessary information through a visual interface. Specific actions include the user selecting a planet and zooming in and rotating it. The output is a view of the specific environment the user is interacting with.

[0706] Step 3:

[0707] The device uses a camera, microphone, and heart rate sensor to collect real-time biometric data from the user. It takes data such as the user's facial expressions, voice tone, and heart rate as input and sends it to the emotion engine. The emotion engine analyzes this data to determine the user's emotional state. The output is an emotion label such as "surprise," "joy," or "relaxation."

[0708] Step 4:

[0709] The server receives the results of the emotion analysis as input and generates a new prompt for the generating AI model. For example, it might issue a command such as, "The user felt surprised, so generate a new event that amplifies the surprise." Based on this prompt, the AI ​​model generates event data and updates the space environment model. The output is an event element appropriate to the user's emotion.

[0710] Step 5:

[0711] The terminal receives updated environmental information from the server and displays newly generated events and terrain on the user interface. The input is data received from the server, and based on this, it presents real-time environmental changes visually and aurally. Specific actions include the appearance of special characters and changes in the environment's colors and music. The output is a dynamically changing virtual environment.

[0712] (Application Example 2)

[0713] 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".

[0714] The problem that this invention aims to solve is that conventional virtual experience systems cannot provide an immersive, personalized experience that takes into account the user's emotional state. Because there is no dynamic content generation or environmental changes in response to the user's emotions, and only a uniform experience is provided, there is a problem in that user satisfaction is limited.

[0715] 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.

[0716] In this invention, the server includes means for randomly generating a space environment model using a generation means, means for exploring the space environment model and arranging virtual structures using a user operation means, means for acquiring the user's biometric data using an emotion analysis device and determining the emotional state in real time, and means for issuing commands to dynamically adjust the space environment model according to the emotional state. This makes it possible to provide a personalized virtual experience that takes into account the user's emotional changes.

[0717] A "generation means" is a device or program that has the function of randomly constructing space environment models within a system.

[0718] "User operation means" refers to a device or program that enables a user to explore a space environment model through an interface and freely place virtual structures.

[0719] An "evolutionary simulation tool" is a device or program that simulates the characteristics of a space environment model over time and generates the results.

[0720] An "emotion analysis device" is a device or program that acquires a user's biometric data and determines their emotional state in real time by analyzing facial expressions, voice, etc.

[0721] "Command issuing means" refers to a device or program that generates and issues commands for dynamically adjusting the space environment model based on the user's emotional state.

[0722] To implement this invention, a complex system is required that includes a user terminal, a server, and an emotion analysis device. This system combines cloud technology with real-time data analysis.

[0723] The server first generates a space environment model using a generation method and stores the model, which has random characteristics, in a database. Users can access this database via a terminal and explore the virtual environment. To collect user behavior data and biometric data, an emotion analysis device analyzes facial expressions, voice, heart rate, etc., in real time. This allows for highly accurate determination of the user's emotions.

[0724] For emotion analysis, the system uses "Azure Cognitive Services," software that provides advanced data analysis algorithms. The results of the analysis of the user's emotional state are sent to the server, and based on this, commands are generated to dynamically adjust various parameters of the environment model. For example, if the user is surprised by the beauty of a new planet, the server will introduce new events and terrain elements accordingly.

[0725] The device provides users with instant visual and audio feedback to enhance immersion. This is achieved by using the Unity graphics engine to render the generated space environment model in real time, providing a visually high-quality experience.

[0726] For example, when a user begins exploring using a VR headset, the server determines, based on facial recognition and voice data, that the user is in an "excited" state. This triggers the appearance of a space city or a colorful aerial show, allowing the user to have a more deeply personalized experience.

[0727] As an example of a prompt, you can issue commands to the system in the form of, "Generate a new space environment model. Analyze the user's emotions from their facial expressions and voice, and provide appropriate visual content and events."

[0728] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0729] Step 1:

[0730] The server generates a space environment model using a generation method. It receives random parameters as input and performs calculations based on them to construct the space environment model. The output is space environment model data stored in a database.

[0731] Step 2:

[0732] The user accesses the space environment using a terminal. The terminal provides visual information through a user interface. The input is space environment model data obtained from a database, and the output is visual information displayed on the user screen.

[0733] Step 3:

[0734] The user collects biometric data using an emotion analysis device. Inputs include biometric data such as the user's facial expressions, voice, and heart rate, which are sent to a server. Based on this data, emotion analysis is performed using Azure Cognitive Services. The output is data representing the user's emotional state.

[0735] Step 4:

[0736] The server generates commands to adjust the space environment model based on emotional state data. The input is emotional state data, and the server calculates the optimal arrangement to realize the user's desired experience based on this data. The output is the adjustment command for the environment model.

[0737] Step 5:

[0738] The device provides visual feedback to the user based on adjustment commands from the server. The input is the adjustment commands provided by the server, and Unity is used to render new visual content. As a result, new events and environmental changes are displayed on the user's screen in real time.

[0739] Step 6:

[0740] The user experiences a new environment and provides feedback to the system. The input is the user's new emotional changes and behaviors, which are collected again by the emotion analysis device and sent to the server as data for restarting the loop. The output is new emotional state data used for the next adjustment.

[0741] 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.

[0742] 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.

[0743] 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.

[0744] 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.

[0745] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0746] 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.

[0747] 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.

[0748] 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.

[0749] 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."

[0750] 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.

[0751] 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.

[0752] 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.

[0753] 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.

[0754] 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.

[0755] 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.

[0756] 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.

[0757] 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.

[0758] 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.

[0759] 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.

[0760] 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.

[0761] 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.

[0762] The following is further disclosed regarding the embodiments described above.

[0763] (Claim 1)

[0764] The generation method includes a means for randomly generating a space environment model,

[0765] A means for exploring the space environment model and placing virtual structures using user operation means,

[0766] A means for simulating the characteristics of the space environment model over time using evolutionary simulation means and outputting the results,

[0767] A means for visualizing the results of the aforementioned evolutionary simulation and providing users with a virtual tourism experience,

[0768] A system that includes this.

[0769] (Claim 2)

[0770] The system according to claim 1, further comprising means for saving the generated space environment model and making it accessible to multiple users.

[0771] (Claim 3)

[0772] The system according to claim 1, further comprising means for visualizing the results of an evolutionary simulation in Street View format and virtually exploring a location selected by the user.

[0773] "Example 1"

[0774] (Claim 1)

[0775] The generation means randomly generates and stores space environment models based on multiple parameters,

[0776] A means for using a user terminal to explore the space environment model and select and place virtual structures using procedural technology,

[0777] A means for simulating the characteristics of the space environment model, including vegetation changes, climate change, and civilization development, over time using evolutionary simulation methods, and providing this information to the user in real time,

[0778] A means of providing a virtual tourism experience in which users can explore a region in detail through interactive maps and 3D views using visualization data from evolutionary simulations,

[0779] A system that includes this.

[0780] (Claim 2)

[0781] The system according to claim 1, further comprising means for storing the generated space environment model in a database and making it accessible to multiple users.

[0782] (Claim 3)

[0783] The system according to claim 1, further comprising means for providing visualization data of evolutionary simulations in Street View format and virtually exploring locations in detail according to user selection.

[0784] "Application Example 1"

[0785] (Claim 1)

[0786] The generation method includes a means for randomly generating a space environment model,

[0787] A means for exploring the space environment model and placing virtual structures using user operation means,

[0788] A means for simulating the characteristics of the space environment model over time using evolutionary simulation means and outputting the results,

[0789] A means for visualizing the results of the aforementioned evolutionary simulation and providing users with a virtual tourism experience,

[0790] A means of exploring the generated space environment using a smartphone or head-mounted display,

[0791] ...

[0792] A system that includes this.

[0793] (Claim 2)

[0794] The system according to claim 1, further comprising means for saving the generated space environment model and making it accessible to multiple users.

[0795] (Claim 3)

[0796] The system according to claim 1, further comprising means for visualizing the results of an evolutionary simulation in Street View format and virtually exploring a location selected by the user.

[0797] "Example 2 of combining an emotion engine"

[0798] (Claim 1)

[0799] The generation means includes means for generating a space environment model,

[0800] A means for collecting user biometric data and determining their emotional state using emotion analysis means,

[0801] The adjustment means dynamically changes the space environment model according to the emotional state,

[0802] A means for providing visual information to visualize the changed space environment model and to provide users with an individualized experience,

[0803] A system that includes this.

[0804] (Claim 2)

[0805] The system according to claim 1, wherein the generated space environment model is stored by a data storage means and made accessible to multiple users.

[0806] (Claim 3)

[0807] The system according to claim 1, which visualizes the results of an evolutionary simulation using dynamic visualization means and provides a function to explore visual information selected by the user.

[0808] "Application example 2 of combining emotional engines"

[0809] (Claim 1)

[0810] The generation method includes a means for randomly generating a space environment model,

[0811] A means for exploring the space environment model and placing virtual structures using user operation means,

[0812] A means for simulating the characteristics of the space environment model over time using evolutionary simulation means and outputting the results,

[0813] A means for visualizing the results of the aforementioned evolutionary simulation and providing users with a virtual tourism experience,

[0814] A means of acquiring a user's biometric data using an emotion analysis device and determining their emotional state in real time,

[0815] Means for issuing commands to dynamically adjust the space environment model according to the aforementioned emotional state,

[0816] A system that includes this.

[0817] (Claim 2)

[0818] The system according to claim 1, further comprising means for saving the generated space environment model and making it accessible to multiple users.

[0819] (Claim 3)

[0820] The system according to claim 1, further comprising means for visualizing the results of an evolutionary simulation in Street View format and virtually exploring a location selected by the user. [Explanation of symbols]

[0821] 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. The generation method includes a means for randomly generating a space environment model, A means for exploring the space environment model and placing virtual structures using user operation means, A means for simulating the characteristics of the space environment model over time using evolutionary simulation means and outputting the results, A means for visualizing the results of the aforementioned evolutionary simulation and providing users with a virtual tourism experience, A system that includes this.

2. The system according to claim 1, further comprising means for saving the generated space environment model and making it accessible to multiple users.

3. The system according to claim 1, further comprising means for visualizing the results of an evolutionary simulation in Street View format and virtually exploring a location selected by the user.

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