system

Abstract

The system according to this embodiment aims to provide advice for optimizing room layout based on the principles of Feng Shui. [Solution] The system according to the embodiment comprises an input unit, an analysis unit, a generation unit, and a provision unit. The input unit receives room floor plans or layout information from the user. The analysis unit analyzes the information entered by the input unit based on the principles of Feng Shui. The generation unit generates advice based on the analysis results obtained by the analysis unit. The provision unit provides the advice generated by the generation unit to the user.

Description

Technical Field

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

Background Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of the chatbot's character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance as a 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 the conventional technology, there is a problem that it is difficult to obtain specific advice for optimizing the layout of a room based on the principles of feng shui.

[0005] The system according to the embodiment aims to provide advice for optimizing the layout of a room based on the principles of feng shui.

Means for Solving the Problems

[0006] The system according to this embodiment comprises an input unit, an analysis unit, a generation unit, and a provision unit. The input unit receives room layout information or floor plan data from the user. The analysis unit analyzes the information entered by the input unit based on the principles of Feng Shui. The generation unit generates advice based on the analysis results obtained by the analysis unit. The provision unit provides the advice generated by the generation unit to the user. [Effects of the Invention]

[0007] The system according to this embodiment can provide advice for optimizing room layout based on the principles of Feng Shui. [Brief explanation of the drawing]

[0008] [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. [Modes for carrying out the invention]

[0009] 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.

[0010] First, let's explain the terminology used in the following explanation.

[0011] In the following embodiments, the signed processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Furthermore, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include CPU (Central Processing Unit), GPU (Graphics Processing Unit), GPGPU (General-Purpose computing on Graphics Processing Units), APU (Accelerated Processing Unit), or TPU (Tensor Processing Unit).

[0012] In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor.

[0013] In the following embodiments, the signed storage is one or more non-volatile storage devices that store various programs and various parameters. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0014] 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 a plurality of computers. Examples of communication standards applied to the communication I / F include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0015] 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 only A, only B, or a combination of A and B. Also, in this specification, when expressing three or more matters connected by "and / or", the same concept as "A and / or B" is applied.

[0016] [First Embodiment] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0017] As shown in FIG. 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.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, the RAM 30, and the storage 32 are connected to a bus 34. Also, the database 24 and the communication I / F 26 are connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0019] The smart device 14 comprises a computer 36, a receiving 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 receiving device 38, output device 40, and camera 42 are also connected to the bus 52.

[0020] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, and accepts user input. The touch panel 38A accepts user input via touch by detecting contact with an object (e.g., a pen or finger). The microphone 38B accepts user input via voice 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 unit 12. In the data processing unit 12, the specific processing unit 290 (see Figure 2) acquires the data indicating the user input.

[0021] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user by outputting the data in a form perceptible to the user (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.

[0022] 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.

[0023] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0024] 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.

[0025] 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. The identification processing unit 290 can estimate the user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0026] In the smart device 14, specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The specific processing program 60 is used in conjunction with the specific processing program 56 by the data processing system 10. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as a control unit 46A according to the specific processing program 60 executed on the RAM 48. The smart device 14 also has a data generation model 58 and an emotion identification model 59, similar to the data generation model and emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0027] Furthermore, other devices besides the data processing device 12 may also have the data generation model 58. For example, a server device (e.g., a generation server) may have the data generation model 58. In this case, the data processing device 12 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device having the data generation model 58. The data processing device 12 may also be a server device or a terminal device owned by a user (e.g., a mobile phone, robot, home appliance, etc.). Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example of form 1) The Feng Shui advice system according to an embodiment of the present invention is a system that understands the principles of Feng Shui, analyzes the floor plan and layout of a room, and provides optimal advice to each user. This system takes the user's input of room floor plan and layout information, analyzes this information based on Feng Shui principles, and generates advice on optimal layout and design. The generated advice is customized to the user's lifestyle and preferences. For example, if the user wants to relax, advice on a relaxing layout and design is provided. If the user wants to improve work efficiency, advice on a layout and design that enhances concentration is provided. This makes it easier for users to understand and practice the principles of Feng Shui. For example, by changing the layout of a room, the flow of energy can be improved, creating a comfortable living environment for residents. Furthermore, by incorporating designs based on Feng Shui principles, a harmonious space can be created. For example, by changing the layout of a living room, a relaxing space for the family can be created. Also, by changing the layout of an office, work efficiency can be improved. Thus, the Feng Shui advice system makes it easier for users to understand and practice the principles of Feng Shui.

[0029] The feng shui advice system according to this embodiment comprises an input unit, an analysis unit, a generation unit, and a provision unit. The input unit allows the user to input information such as a floor plan and layout of a room. The information input by the user includes, but is not limited to, room dimensions, furniture placement, and the location of windows and doors. For example, the user can take a picture of the room floor plan using a smartphone or tablet and input the image data into the system. The user can also manually input the room dimensions and furniture placement. The analysis unit analyzes the information input by the input unit based on the principles of feng shui. The principles of feng shui include the flow of energy, the balance of the five elements, and directions. For example, the analysis unit analyzes the flow of energy and evaluates the balance of the five elements based on the input room floor plan. The analysis unit can also evaluate the room layout based on directions. The generation unit generates optimal advice based on the analysis results obtained by the analysis unit. The generated advice includes, but is not limited to, changing the furniture layout, selecting colors, and adding decorations. For example, if the user wants to relax, the generation unit will generate advice on a relaxing layout and design. Furthermore, the generation unit can also generate advice on layouts and designs that enhance concentration if the user wants to improve their work efficiency. The provision unit provides the advice generated by the generation unit to the user. For example, the provision unit displays the generated advice to the user in text format. The provision unit can also provide the generated advice to the user in graphic format. In addition, the provision unit can provide the generated advice to the user in audio format. Thus, the feng shui advice system according to this embodiment can receive input from the user regarding the floor plan and layout information of a room, analyze it based on the principles of feng shui, generate and provide optimal advice.

[0030] The input section allows users to input room layouts and information. This information may include, but is not limited to, room dimensions, furniture placement, and window and door locations. For example, users can take photos of room layouts using a smartphone or tablet and input the image data into the system. Users can also manually input room dimensions and furniture placement. Specifically, by using the camera function of a smartphone or tablet to capture an overall view of the room and uploading the image to the system, the system can automatically recognize the room dimensions and furniture placement. Furthermore, when users manually input information, the system provides an intuitive interface to easily input room dimensions and furniture placement. For example, users can specify furniture positions using drag-and-drop functionality or input precise dimensions numerically. The input section also saves user-inputted information in real time, allowing for later editing and modification. This enables users to input room information accurately and efficiently, improving the system's analysis accuracy.

[0031] The analysis unit analyzes the information entered by the input unit based on the principles of Feng Shui. These principles include the flow of energy, the balance of the Five Elements, and directions. For example, the analysis unit analyzes the flow of energy and evaluates the balance of the Five Elements based on the entered room floor plan. It can also evaluate room layouts based on directions. Specifically, it uses AI to analyze the entered room floor plan and simulate the flow of energy. The AI ​​uses image recognition technology to identify the room's structure and furniture placement, visualizing the flow of energy. Furthermore, to evaluate the balance of the Five Elements, it analyzes the placement and color of each element based on the entered information and proposes a balanced layout. Additionally, to evaluate room layouts based on directions, it uses a compass function to determine the room's orientation and evaluates the optimal layout based on Feng Shui principles. This allows the analysis unit to perform detailed analyses in accordance with Feng Shui principles based on user input, proposing optimal layouts and designs. Moreover, the analysis unit can utilize past data and statistical information to perform more accurate analyses. For example, based on the results of past feng shui advice, the system evaluates the effects of specific arrangements and designs, and provides the user with the most suitable advice. This allows the analysis department to perform highly accurate analyses based on feng shui principles and provide the user with the most appropriate advice.

[0032] The generation unit generates optimal advice based on the analysis results obtained by the analysis unit. The generated advice may include, but is not limited to, suggestions such as changing furniture arrangements, selecting colors, or adding decorations. For example, if the user wants to relax, the generation unit will generate advice on relaxing arrangements and designs. It can also generate advice on arrangements and designs that enhance concentration if the user wants to improve work efficiency. Specifically, AI is used to generate optimal advice based on the analysis results. The AI ​​uses an algorithm to suggest the optimal arrangement and design according to the user's purpose and preferences. For example, if the user wants to relax, it will suggest an arrangement using soft colors and natural materials; if the user wants to improve concentration, it will suggest a simple and functional arrangement. Furthermore, the generation unit can continuously improve the accuracy of its advice based on user feedback. For example, the user can evaluate their satisfaction with the advice provided, and the algorithm will be adjusted based on that evaluation. This allows the generation unit to provide optimal advice tailored to the user's needs and increase user satisfaction. In addition, the generation unit can simulate multiple scenarios and select the most effective advice. This allows the generation unit to provide optimal advice to the user and maximize the effects of feng shui.

[0033] The service provider delivers advice generated by the generation unit to the user. For example, the service provider displays the generated advice to the user in text format. The service provider can also deliver the generated advice to the user in diagram format. Furthermore, the service provider can deliver the generated advice to the user in audio format. Specifically, in text format, detailed advice is displayed in written form for easy user understanding. In diagram format, room layouts and changes to the arrangement are visually shown for intuitive user understanding. In audio format, advice is delivered using speech synthesis technology, allowing the user to receive advice without relying on visual information. Furthermore, the service provider can deliver advice in the most optimal format depending on the user's device. For example, advice is displayed in text or diagram format on smartphones and in audio format on smart speakers. The service provider can also collect user feedback and continuously improve the accuracy and effectiveness of the advice. This allows the service provider to deliver advice in the most optimal format to the user, maximizing the effects of feng shui. Additionally, the service provider saves a history of advice, allowing users to refer to past advice. This allows users to review their current layout and design based on past advice, enabling them to continuously enjoy the benefits of feng shui.

[0034] The Feng Shui advice system includes a customization section that tailors advice to the user's lifestyle or preferences. For example, if the user wants to relax, the customization section will provide advice on relaxing layouts and designs. For instance, if the user wants to relax in their living room, the customization section will advise on rearranging the furniture to create a relaxing space. Similarly, if the user wants to improve their work efficiency, the customization section will provide advice on layouts and designs to enhance concentration. For example, if the user wants to improve their work efficiency in the office, the customization section will advise on rearranging the office furniture to create a space conducive to concentration. Furthermore, the customization section can also customize advice to the user's preferences. For example, if the user prefers a particular color, the customization section will provide advice on layouts and designs incorporating that color. This allows the Feng Shui advice system to customize advice to the user's lifestyle and preferences.

[0035] The Feng Shui advice system includes a suggestion section that provides specific layout or design proposals based on Feng Shui principles. For example, the suggestion section might propose furniture arrangements based on Feng Shui principles. For instance, it might suggest rearranging furniture in a living room to improve the flow of energy. The suggestion section can also suggest color selections based on Feng Shui principles. For example, it might suggest changing the wall color in a living room to balance the Five Elements. Furthermore, the suggestion section can also suggest adding decorations based on Feng Shui principles. For example, it might suggest adding specific decorative items to a living room to create a harmonious space. Thus, the Feng Shui advice system can provide specific layout and design proposals based on Feng Shui principles.

[0036] The Feng Shui advice system includes an input unit that analyzes the user's past input history and suggests input methods. For example, the input unit automatically displays room layouts and information that the user has frequently entered in the past as suggestions. The input unit can also prioritize suggesting input methods (voice, text, etc.) previously used by the user. Furthermore, the input unit can predict and suggest room layouts and information used during specific time periods based on the user's past input history. This allows the system to analyze the user's past input history and suggest the optimal input method. Some or all of the above processing in the input unit may be performed using AI, or without AI. For example, the input unit can input the user's past input data into a generating AI, which can then suggest the optimal input method.

[0037] The Feng Shui advice system includes an input section that filters input items based on the user's current lifestyle and areas of interest when inputting room layouts and information. For example, if the user wants to relax, the input section will prioritize displaying input items related to relaxing layouts. If the user wants to improve work efficiency, the input section can prioritize displaying input items related to layouts that enhance concentration. If the user prioritizes health, the input section can prioritize displaying input items related to health-promoting layouts. This allows the system to filter input items based on the user's current lifestyle and areas of interest. Some or all of the above processing in the input section may be performed using AI, for example, or without AI. For example, the input section can input the user's lifestyle data into a generating AI and have the generating AI perform the filtering of input items.

[0038] The Feng Shui advice system includes an input unit that prioritizes inputting highly relevant information based on the user's geographical location when inputting room layouts and information. For example, if the user lives in an urban area, the input unit will prioritize inputting layout information suitable for urban areas. If the user lives in a suburban area, the input unit can also prioritize inputting layout information suitable for suburban areas. Furthermore, if the user lives in a specific region, the input unit can prioritize inputting layout information based on the Feng Shui principles of that region. This allows the system to prioritize inputting highly relevant information while considering the user's geographical location. Some or all of the above processing in the input unit may be performed using AI, for example, or without AI. For example, the input unit can input the user's geographical location data into a generating AI and have the generating AI perform the input of highly relevant information.

[0039] The Feng Shui advice system includes an input unit that analyzes the user's social media activity and inputs relevant information when inputting room floor plans and layout information. For example, the input unit can input relevant layout information based on interior design information shared by the user on social media. The input unit can also input relevant layout information based on information from design accounts followed by the user on social media. Furthermore, the input unit can input relevant layout information based on information from posts that the user has "liked" on social media. This allows the system to analyze the user's social media activity and input relevant information. Some or all of the above processing in the input unit may be performed using AI, for example, or without AI. For example, the input unit can input the user's social media data into a generating AI and have the generating AI perform the input of relevant information.

[0040] The Feng Shui advice system includes an analysis unit that adjusts the accuracy of the analysis based on the level of detail of the room's floor plan and layout information. For example, the analysis unit performs a highly accurate analysis if the room's floor plan is detailed. It can also perform a simplified analysis if the room's floor plan is simplified. Furthermore, it can perform a highly accurate analysis if the room's layout information is detailed. This allows the accuracy of the analysis to be adjusted based on the level of detail of the room's floor plan and layout information. Some or all of the above processing in the analysis unit may be performed using AI, for example, or without AI. For example, the analysis unit can input room floor plan and layout information data into a generating AI and have the generating AI perform the adjustment of the analysis accuracy.

[0041] The Feng Shui advice system includes an analysis unit that applies different analysis methods depending on the room category during the analysis. For example, in the case of a living room, the analysis unit can apply an analysis method that emphasizes a relaxing layout. In the case of an office, the analysis unit can apply an analysis method that emphasizes a layout that improves work efficiency. In the case of a bedroom, the analysis unit can apply an analysis method that emphasizes a layout that promotes comfortable sleep. This allows different analysis methods to be applied depending on the room category. Some or all of the above processing in the analysis unit may be performed using AI, for example, or without AI. For example, the analysis unit can input room category data into a generating AI and have the generating AI execute the application of the analysis method.

[0042] The Feng Shui advice system includes an analysis unit that determines the priority of analysis based on the submission date of room plans and layout information during the analysis. For example, the analysis unit prioritizes the analysis of the most recent plans and layout information. The analysis unit can also lower the priority of older information that has been submitted. Furthermore, if the submission date is related to a specific event, the analysis unit can also prioritize the analysis according to that event. This allows the system to determine the priority of analysis based on the submission date of room plans and layout information. Some or all of the above processing in the analysis unit may be performed using AI, for example, or not. For example, the analysis unit can input submission date data into a generating AI and have the generating AI perform the determination of the analysis priority.

[0043] The Feng Shui advice system includes an analysis unit that improves the accuracy of the analysis based on relevant literature on the room during the analysis process. The analysis unit performs the analysis by referring to, for example, the latest research papers on room layout. It can also perform the analysis by referring to classical literature on Feng Shui. Furthermore, it can perform the analysis by referring to specialized books on interior design. This allows for improved accuracy of the analysis by referring to relevant literature on the room. Some or all of the above processing in the analysis unit may be performed using, for example, AI, or without AI. For example, the analysis unit can input relevant literature data into a generating AI and have the generating AI perform the improvement of the analysis accuracy.

[0044] The Feng Shui advice system includes a generation unit that adjusts the level of detail of the advice based on the importance of Feng Shui principles during generation. For example, if a Feng Shui principle is important, the generation unit provides detailed advice. If a Feng Shui principle is not very important, the generation unit can provide simplified advice. Furthermore, if only a part of a Feng Shui principle is important, the generation unit can provide advice that focuses on that part. This allows the level of detail of the advice to be adjusted based on the importance of the Feng Shui principles. Some or all of the above processing in the generation unit may be performed using AI, for example, or without AI. For example, the generation unit can input Feng Shui principle importance data into a generation AI and have the generation AI perform the adjustment of the level of detail of the advice.

[0045] The Feng Shui advice system includes a generation unit that applies different advice generation algorithms depending on the user's lifestyle during the generation process. For example, if the user wants to relax, the generation unit can apply an algorithm that generates advice on a relaxing layout. If the user wants to improve their work efficiency, the generation unit can apply an algorithm that generates advice on a layout that enhances concentration. If the user prioritizes health, the generation unit can apply an algorithm that generates advice on a healthy layout. This allows for the application of different advice generation algorithms depending on the user's lifestyle. Some or all of the above processing in the generation unit may be performed using AI, for example, or without AI. For example, the generation unit can input the user's lifestyle data into a generation AI and have the generation AI execute the application of the advice generation algorithm.

[0046] The Feng Shui advice system includes a generation unit that adjusts the order of advice based on the relationships between Feng Shui principles during generation. For example, if a Feng Shui principle is important, the generation unit will provide advice based on that principle first. If a Feng Shui principle is not very important, the generation unit can postpone the advice based on that principle. Furthermore, if only a part of a Feng Shui principle is important, the generation unit can prioritize providing advice based on that part. This allows the order of advice to be adjusted based on the relationships between Feng Shui principles. Some or all of the above processing in the generation unit may be performed using AI, for example, or not. For example, the generation unit can input relationship data of Feng Shui principles into a generation AI and have the generation AI perform the adjustment of the advice order.

[0047] The Feng Shui advice system includes a generation unit that improves the accuracy of advice based on the user's past advice history during the generation process. For example, the generation unit provides optimal advice based on the advice the user has received in the past. The generation unit can also extract and provide effective advice from the user's past advice history. Furthermore, the generation unit can analyze the user's past advice history and provide the most suitable advice. This allows for improved advice accuracy by referencing the user's past advice history. Some or all of the above processing in the generation unit may be performed using, for example, AI, or without AI. For example, the generation unit can input the user's past advice history data into a generation AI and have the generation AI perform the improvement of advice accuracy.

[0048] The Feng Shui advice system includes a delivery unit that, at the time of delivery, selects a delivery method based on the user's past advice-receiving history. The delivery unit, for example, delivers advice using a method the user has preferred in the past. The delivery unit can also select the most effective delivery method from the user's past delivery history. Furthermore, the delivery unit can select the optimal delivery method based on feedback from the user's past advice-receiving history. This allows the system to select the optimal delivery method by referring to the user's past advice-receiving history. Some or all of the above processing in the delivery unit may be performed using AI, for example, or without AI. For example, the delivery unit can input the user's past advice-receiving history data into a generating AI and have the generating AI perform the selection of the delivery method.

[0049] The Feng Shui advice system includes a delivery unit that customizes the means of providing advice based on the user's current living situation. For example, if the user is busy, the delivery unit can provide concise advice. If the user is relaxed, the delivery unit can provide detailed advice. Furthermore, if the user is participating in a specific event, the delivery unit can provide advice related to that event. This allows the means of providing advice to be customized based on the user's current living situation. Some or all of the above processing in the delivery unit may be performed using AI, for example, or without AI. For example, the delivery unit can input the user's living situation data into a generating AI and have the generating AI perform the customization of the means of providing advice.

[0050] The Feng Shui advice system includes a delivery unit that, at the time of delivery, selects an advice delivery method based on the user's geographical location information. For example, if the user is in an urban area, the delivery unit will provide advice suitable for urban areas. If the user is in a suburban area, the delivery unit can provide advice suitable for suburban areas. Furthermore, if the user is in a specific region, the delivery unit can provide advice based on the Feng Shui principles of that region. This allows the system to select the optimal advice delivery method considering the user's geographical location information. Some or all of the above processing in the delivery unit may be performed using AI, for example, or without AI. For example, the delivery unit can input the user's geographical location data into a generating AI and have the generating AI perform the selection of the advice delivery method.

[0051] The Feng Shui advice system includes a service provision unit that analyzes the user's social media activity and proposes methods for providing advice. For example, the service provision unit provides relevant advice based on information shared by the user on social media. It can also provide relevant advice based on information about accounts followed by the user on social media. Furthermore, it can provide relevant advice based on information about posts that the user has "liked" on social media. This allows the system to analyze the user's social media activity and propose methods for providing advice. Some or all of the above processing in the service provision unit may be performed using AI, for example, or without AI. For example, the service provision unit can input the user's social media data into a generating AI and have the generating AI propose methods for providing advice.

[0052] The Feng Shui advice system includes a customization unit that selects a customization method based on the user's past lifestyle data during the customization process. The customization unit customizes the advice based, for example, on the user's past preferred layouts and designs. It can also select the most effective customization method from the user's past lifestyle data. Furthermore, the customization unit can select the optimal customization method based on the user's past feedback. This allows for the selection of the optimal customization method by referencing the user's past lifestyle data. Some or all of the above-described processes in the customization unit may be performed using, for example, AI, or without AI. For example, the customization unit can input the user's past lifestyle data into a generating AI and have the generating AI select the customization method.

[0053] The Feng Shui advice system includes a customization unit that selects a customization method based on the user's geographical location information during the customization process. For example, if the user lives in an urban area, the customization unit will perform customization suitable for urban areas. If the user lives in a suburban area, the customization unit can perform customization suitable for suburban areas. Furthermore, if the user lives in a specific region, the customization unit can perform customization based on the Feng Shui principles of that region. This allows for the selection of the optimal customization method considering the user's geographical location information. Some or all of the above-described processes in the customization unit may be performed using AI, for example, or without AI. For example, the customization unit can input the user's geographical location data into a generating AI and have the generating AI perform the selection of the customization method.

[0054] The Feng Shui advice system includes a suggestion unit that adjusts the level of detail in the suggestion based on the importance of the Feng Shui principles. For example, if a Feng Shui principle is important, the suggestion unit will provide a detailed suggestion. If a Feng Shui principle is not very important, the suggestion unit can provide a simplified suggestion. Furthermore, if only a part of the Feng Shui principle is important, the suggestion unit can focus on that part in the suggestion unit. This allows the level of detail in the suggestion unit to be adjusted based on the importance of the Feng Shui principles. Some or all of the above processing in the suggestion unit may be performed using AI, for example, or without AI. For example, the suggestion unit can input Feng Shui principle importance data into a generating AI and have the generating AI perform the adjustment of the level of detail in the suggestion.

[0055] The Feng Shui advice system includes a suggestion unit that selects a suggestion method based on the user's geographical location information. For example, if the user lives in an urban area, the suggestion unit will provide suggestions suitable for urban areas. If the user lives in a suburban area, the suggestion unit can provide suggestions suitable for suburban areas. Furthermore, if the user lives in a specific region, the suggestion unit can provide suggestions based on the Feng Shui principles of that region. This allows the system to select the optimal suggestion method considering the user's geographical location information. Some or all of the above processing in the suggestion unit may be performed using AI, for example, or without AI. For example, the suggestion unit can input the user's geographical location data into a generating AI and have the generating AI select the suggestion method.

[0056] The system according to the embodiment is not limited to the example described above, and various modifications are possible, for example, as follows.

[0057] A feng shui advice system can also include a hobby customization section that tailors advice based on the user's hobbies and interests. For example, if the user enjoys music, it can provide advice on the optimal arrangement and design for enjoying music. Similarly, if the user enjoys reading, it can provide advice on the optimal arrangement and design for reading. Furthermore, if the user enjoys cooking, it can provide advice on the optimal arrangement and design for cooking. This allows for the customization of advice based on the user's hobbies and interests.

[0058] The feng shui advice system can also include a family customization section that tailors advice based on the user's family structure. For example, if the user has children, it can provide advice on layouts and designs that ensure the children's safety. If the user lives with elderly people, it can provide advice on layouts and designs that ensure the elderly are comfortable. Furthermore, if the user has pets, it can provide advice on layouts and designs that ensure the pets are comfortable. This allows for the customization of advice based on the user's family structure.

[0059] A feng shui advice system can also include an evaluation unit that analyzes the user's past advice history and assesses the effectiveness of the advice. For example, it can evaluate the effectiveness of advice the user has received in the past and provide the most suitable advice. It can also extract and provide effective advice from the user's past advice history. Furthermore, it can analyze the user's past advice history and provide the most appropriate advice. This allows for the evaluation of the effectiveness of advice by referring to the user's past advice history.

[0060] A Feng Shui advice system can also include a geographic customization section that tailors the advice based on the user's geographical location. For example, if the user lives in an urban area, it can provide advice on layout and design suitable for urban areas. If the user lives in a suburban area, it can provide advice on layout and design suitable for suburban areas. Furthermore, if the user lives in a specific region, it can provide advice on layout and design based on the Feng Shui principles of that region. This allows for the customization of advice based on the user's geographical location.

[0061] The Feng Shui advice system can also include a social media customization section that analyzes the user's social media activity and customizes the advice accordingly. For example, it can provide relevant layout and design advice based on interior design information shared by the user on social media. It can also provide relevant layout and design advice based on design accounts the user follows on social media. Furthermore, it can provide relevant layout and design advice based on posts the user "likes" on social media. This allows for the analysis of the user's social media activity and the customization of the advice.

[0062] The following briefly describes the processing flow for example form 1.

[0063] Step 1: The input section allows the user to input room layout information. This information includes, for example, room dimensions, furniture placement, and window and door locations. The input section allows users to take photos of room layouts using their smartphones or tablets and input the image data into the system. Users can also manually input room dimensions and furniture placement. Step 2: The analysis unit analyzes the information entered by the input unit based on the principles of Feng Shui. These principles include the flow of energy, the balance of the Five Elements, and directions. Based on the entered room diagram, the analysis unit analyzes the flow of energy and evaluates the balance of the Five Elements. It can also evaluate the room layout based on directions. Step 3: The generation unit generates optimal advice based on the analysis results obtained by the analysis unit. The generated advice may include, for example, changing the furniture arrangement, selecting colors, or adding decorations. If the user wants to relax, the generation unit will generate advice on arrangements and designs that promote relaxation. If the user wants to improve their work efficiency, it can also generate advice on arrangements and designs that enhance concentration. Step 4: The provider unit provides the user with the advice generated by the generator unit. The provider unit displays the generated advice to the user in text format. It can also provide the generated advice to the user in graphic format. Furthermore, the provider unit can provide the generated advice to the user in audio format.

[0064] (Example of form 2) The Feng Shui advice system according to an embodiment of the present invention is a system that understands the principles of Feng Shui, analyzes the floor plan and layout of a room, and provides optimal advice to each user. This system takes the user's input of room floor plan and layout information, analyzes this information based on Feng Shui principles, and generates advice on optimal layout and design. The generated advice is customized to the user's lifestyle and preferences. For example, if the user wants to relax, advice on a relaxing layout and design is provided. If the user wants to improve work efficiency, advice on a layout and design that enhances concentration is provided. This makes it easier for users to understand and practice the principles of Feng Shui. For example, by changing the layout of a room, the flow of energy can be improved, creating a comfortable living environment for residents. Furthermore, by incorporating designs based on Feng Shui principles, a harmonious space can be created. For example, by changing the layout of a living room, a relaxing space for the family can be created. Also, by changing the layout of an office, work efficiency can be improved. Thus, the Feng Shui advice system makes it easier for users to understand and practice the principles of Feng Shui.

[0065] The feng shui advice system according to this embodiment comprises an input unit, an analysis unit, a generation unit, and a provision unit. The input unit allows the user to input information such as a floor plan and layout of a room. The information input by the user includes, but is not limited to, room dimensions, furniture placement, and the location of windows and doors. For example, the user can take a picture of the room floor plan using a smartphone or tablet and input the image data into the system. The user can also manually input the room dimensions and furniture placement. The analysis unit analyzes the information input by the input unit based on the principles of feng shui. The principles of feng shui include the flow of energy, the balance of the five elements, and directions. For example, the analysis unit analyzes the flow of energy and evaluates the balance of the five elements based on the input room floor plan. The analysis unit can also evaluate the room layout based on directions. The generation unit generates optimal advice based on the analysis results obtained by the analysis unit. The generated advice includes, but is not limited to, changing the furniture layout, selecting colors, and adding decorations. For example, if the user wants to relax, the generation unit will generate advice on a relaxing layout and design. Furthermore, the generation unit can also generate advice on layouts and designs that enhance concentration if the user wants to improve their work efficiency. The provision unit provides the advice generated by the generation unit to the user. For example, the provision unit displays the generated advice to the user in text format. The provision unit can also provide the generated advice to the user in graphic format. In addition, the provision unit can provide the generated advice to the user in audio format. Thus, the feng shui advice system according to this embodiment can receive input from the user regarding the floor plan and layout information of a room, analyze it based on the principles of feng shui, generate and provide optimal advice.

[0066] The input section allows users to input room layouts and information. This information may include, but is not limited to, room dimensions, furniture placement, and window and door locations. For example, users can take photos of room layouts using a smartphone or tablet and input the image data into the system. Users can also manually input room dimensions and furniture placement. Specifically, by using the camera function of a smartphone or tablet to capture an overall view of the room and uploading the image to the system, the system can automatically recognize the room dimensions and furniture placement. Furthermore, when users manually input information, the system provides an intuitive interface to easily input room dimensions and furniture placement. For example, users can specify furniture positions using drag-and-drop functionality or input precise dimensions numerically. The input section also saves user-inputted information in real time, allowing for later editing and modification. This enables users to input room information accurately and efficiently, improving the system's analysis accuracy.

[0067] The analysis unit analyzes the information entered by the input unit based on the principles of Feng Shui. These principles include the flow of energy, the balance of the Five Elements, and directions. For example, the analysis unit analyzes the flow of energy and evaluates the balance of the Five Elements based on the entered room floor plan. It can also evaluate room layouts based on directions. Specifically, it uses AI to analyze the entered room floor plan and simulate the flow of energy. The AI ​​uses image recognition technology to identify the room's structure and furniture placement, visualizing the flow of energy. Furthermore, to evaluate the balance of the Five Elements, it analyzes the placement and color of each element based on the entered information and proposes a balanced layout. Additionally, to evaluate room layouts based on directions, it uses a compass function to determine the room's orientation and evaluates the optimal layout based on Feng Shui principles. This allows the analysis unit to perform detailed analyses in accordance with Feng Shui principles based on user input, proposing optimal layouts and designs. Moreover, the analysis unit can utilize past data and statistical information to perform more accurate analyses. For example, based on the results of past feng shui advice, the system evaluates the effects of specific arrangements and designs, and provides the user with the most suitable advice. This allows the analysis department to perform highly accurate analyses based on feng shui principles and provide the user with the most appropriate advice.

[0068] The generation unit generates optimal advice based on the analysis results obtained by the analysis unit. The generated advice may include, but is not limited to, suggestions such as changing furniture arrangements, selecting colors, or adding decorations. For example, if the user wants to relax, the generation unit will generate advice on relaxing arrangements and designs. It can also generate advice on arrangements and designs that enhance concentration if the user wants to improve work efficiency. Specifically, AI is used to generate optimal advice based on the analysis results. The AI ​​uses an algorithm to suggest the optimal arrangement and design according to the user's purpose and preferences. For example, if the user wants to relax, it will suggest an arrangement using soft colors and natural materials; if the user wants to improve concentration, it will suggest a simple and functional arrangement. Furthermore, the generation unit can continuously improve the accuracy of its advice based on user feedback. For example, the user can evaluate their satisfaction with the advice provided, and the algorithm will be adjusted based on that evaluation. This allows the generation unit to provide optimal advice tailored to the user's needs and increase user satisfaction. In addition, the generation unit can simulate multiple scenarios and select the most effective advice. This allows the generation unit to provide optimal advice to the user and maximize the effects of feng shui.

[0069] The service provider delivers advice generated by the generation unit to the user. For example, the service provider displays the generated advice to the user in text format. The service provider can also deliver the generated advice to the user in diagram format. Furthermore, the service provider can deliver the generated advice to the user in audio format. Specifically, in text format, detailed advice is displayed in written form for easy user understanding. In diagram format, room layouts and changes to the arrangement are visually shown for intuitive user understanding. In audio format, advice is delivered using speech synthesis technology, allowing the user to receive advice without relying on visual information. Furthermore, the service provider can deliver advice in the most optimal format depending on the user's device. For example, advice is displayed in text or diagram format on smartphones and in audio format on smart speakers. The service provider can also collect user feedback and continuously improve the accuracy and effectiveness of the advice. This allows the service provider to deliver advice in the most optimal format to the user, maximizing the effects of feng shui. Additionally, the service provider saves a history of advice, allowing users to refer to past advice. This allows users to review their current layout and design based on past advice, enabling them to continuously enjoy the benefits of feng shui.

[0070] The Feng Shui advice system includes a customization section that tailors advice to the user's lifestyle or preferences. For example, if the user wants to relax, the customization section will provide advice on relaxing layouts and designs. For instance, if the user wants to relax in their living room, the customization section will advise on rearranging the furniture to create a relaxing space. Similarly, if the user wants to improve their work efficiency, the customization section will provide advice on layouts and designs to enhance concentration. For example, if the user wants to improve their work efficiency in the office, the customization section will advise on rearranging the office furniture to create a space conducive to concentration. Furthermore, the customization section can also customize advice to the user's preferences. For example, if the user prefers a particular color, the customization section will provide advice on layouts and designs incorporating that color. This allows the Feng Shui advice system to customize advice to the user's lifestyle and preferences.

[0071] The Feng Shui advice system includes a suggestion section that provides specific layout or design proposals based on Feng Shui principles. For example, the suggestion section might propose furniture arrangements based on Feng Shui principles. For instance, it might suggest rearranging furniture in a living room to improve the flow of energy. The suggestion section can also suggest color selections based on Feng Shui principles. For example, it might suggest changing the wall color in a living room to balance the Five Elements. Furthermore, the suggestion section can also suggest adding decorations based on Feng Shui principles. For example, it might suggest adding specific decorative items to a living room to create a harmonious space. Thus, the Feng Shui advice system can provide specific layout and design proposals based on Feng Shui principles.

[0072] The Feng Shui advice system includes an input section that estimates the user's emotions and adjusts the design of the input interface based on the estimated emotions. For example, if the user is tense, the input section provides an interface with calming colors to reduce visual stress. If the user is enjoying themselves, the input section provides an interface with bright colors to make the input process more enjoyable. If the user is tired, the input section provides a simple and highly visible interface to facilitate the input process. This allows the design of the input interface to be adjusted based on the user's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. The generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the input section may be performed using AI, or not using AI. For example, the input section can input the user's facial expression data into the generative AI and have the generative AI perform emotion estimation.

[0073] The Feng Shui advice system includes an input unit that analyzes the user's past input history and suggests input methods. For example, the input unit automatically displays room layouts and information that the user has frequently entered in the past as suggestions. The input unit can also prioritize suggesting input methods (voice, text, etc.) previously used by the user. Furthermore, the input unit can predict and suggest room layouts and information used during specific time periods based on the user's past input history. This allows the system to analyze the user's past input history and suggest the optimal input method. Some or all of the above processing in the input unit may be performed using AI, or without AI. For example, the input unit can input the user's past input data into a generating AI, which can then suggest the optimal input method.

[0074] The Feng Shui advice system includes an input section that filters input items based on the user's current lifestyle and areas of interest when inputting room layouts and information. For example, if the user wants to relax, the input section will prioritize displaying input items related to relaxing layouts. If the user wants to improve work efficiency, the input section can prioritize displaying input items related to layouts that enhance concentration. If the user prioritizes health, the input section can prioritize displaying input items related to health-promoting layouts. This allows the system to filter input items based on the user's current lifestyle and areas of interest. Some or all of the above processing in the input section may be performed using AI, for example, or without AI. For example, the input section can input the user's lifestyle data into a generating AI and have the generating AI perform the filtering of input items.

[0075] The Feng Shui advice system includes an input unit that estimates the user's emotions and determines the priority of information to be entered based on the estimated emotions. For example, if the user is feeling stressed, the input unit may prompt the user to prioritize entering important information. If the user is relaxed, the input unit may prompt the user to enter detailed information. If the user is in a hurry, the input unit may prompt the user to enter minimal information. This allows the system to determine the priority of information to be entered based on the user's emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or generative AI. The generative AI may be, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the input unit may be performed using AI or not. For example, the input unit may input the user's emotion data into the generative AI and have the generative AI determine the priority of information.

[0076] The Feng Shui advice system includes an input unit that prioritizes inputting highly relevant information based on the user's geographical location when inputting room layouts and information. For example, if the user lives in an urban area, the input unit will prioritize inputting layout information suitable for urban areas. If the user lives in a suburban area, the input unit can also prioritize inputting layout information suitable for suburban areas. Furthermore, if the user lives in a specific region, the input unit can prioritize inputting layout information based on the Feng Shui principles of that region. This allows the system to prioritize inputting highly relevant information while considering the user's geographical location. Some or all of the above processing in the input unit may be performed using AI, for example, or without AI. For example, the input unit can input the user's geographical location data into a generating AI and have the generating AI perform the input of highly relevant information.

[0077] The Feng Shui advice system includes an input unit that analyzes the user's social media activity and inputs relevant information when inputting room floor plans and layout information. For example, the input unit can input relevant layout information based on interior design information shared by the user on social media. The input unit can also input relevant layout information based on information from design accounts followed by the user on social media. Furthermore, the input unit can input relevant layout information based on information from posts that the user has "liked" on social media. This allows the system to analyze the user's social media activity and input relevant information. Some or all of the above processing in the input unit may be performed using AI, for example, or without AI. For example, the input unit can input the user's social media data into a generating AI and have the generating AI perform the input of relevant information.

[0078] The Feng Shui advice system includes an analysis unit that estimates the user's emotions and adjusts the analysis algorithm based on the estimated emotions. For example, if the user is relaxed, the analysis unit applies an algorithm that performs a detailed analysis. If the user is in a hurry, the analysis unit can apply an algorithm that performs a simplified analysis. If the user is excited, the analysis unit can also apply an algorithm that provides visually stimulating analysis results. This allows the analysis algorithm to be adjusted based on the user's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. The generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the analysis unit may be performed using AI, for example, or not using AI. For example, the analysis unit can input the user's emotion data into the generative AI and have the generative AI perform the adjustment of the analysis algorithm.

[0079] The Feng Shui advice system includes an analysis unit that adjusts the accuracy of the analysis based on the level of detail of the room's floor plan and layout information. For example, the analysis unit performs a highly accurate analysis if the room's floor plan is detailed. It can also perform a simplified analysis if the room's floor plan is simplified. Furthermore, it can perform a highly accurate analysis if the room's layout information is detailed. This allows the accuracy of the analysis to be adjusted based on the level of detail of the room's floor plan and layout information. Some or all of the above processing in the analysis unit may be performed using AI, for example, or without AI. For example, the analysis unit can input room floor plan and layout information data into a generating AI and have the generating AI perform the adjustment of the analysis accuracy.

[0080] The Feng Shui advice system includes an analysis unit that applies different analysis methods depending on the room category during the analysis. For example, in the case of a living room, the analysis unit can apply an analysis method that emphasizes a relaxing layout. In the case of an office, the analysis unit can apply an analysis method that emphasizes a layout that improves work efficiency. In the case of a bedroom, the analysis unit can apply an analysis method that emphasizes a layout that promotes comfortable sleep. This allows different analysis methods to be applied depending on the room category. Some or all of the above processing in the analysis unit may be performed using AI, for example, or without AI. For example, the analysis unit can input room category data into a generating AI and have the generating AI execute the application of the analysis method.

[0081] The Feng Shui advice system includes an analysis unit that estimates the user's emotions and adjusts the display method of the analysis results based on the estimated emotions. For example, if the user is tense, the analysis unit provides a simple and highly visible display method. If the user is relaxed, the analysis unit can provide a display method that includes detailed information. If the user is in a hurry, the analysis unit can provide a display method that gets straight to the point. This allows the display method of the analysis results to be adjusted based on the user's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or a generative AI. The generative AI is, but is not limited to, a text generation AI (e.g., LLM) or a multimodal generation AI. Some or all of the above processing in the analysis unit may be performed using AI, for example, or not using AI. For example, the analysis unit can input the user's emotion data into the generative AI and have the generative AI perform the adjustment of the display method.

[0082] The Feng Shui advice system includes an analysis unit that determines the priority of analysis based on the submission date of room plans and layout information during the analysis. For example, the analysis unit prioritizes the analysis of the most recent plans and layout information. The analysis unit can also lower the priority of older information that has been submitted. Furthermore, if the submission date is related to a specific event, the analysis unit can also prioritize the analysis according to that event. This allows the system to determine the priority of analysis based on the submission date of room plans and layout information. Some or all of the above processing in the analysis unit may be performed using AI, for example, or not. For example, the analysis unit can input submission date data into a generating AI and have the generating AI perform the determination of the analysis priority.

[0083] The Feng Shui advice system includes an analysis unit that improves the accuracy of the analysis based on relevant literature on the room during the analysis process. The analysis unit performs the analysis by referring to, for example, the latest research papers on room layout. It can also perform the analysis by referring to classical literature on Feng Shui. Furthermore, it can perform the analysis by referring to specialized books on interior design. This allows for improved accuracy of the analysis by referring to relevant literature on the room. Some or all of the above processing in the analysis unit may be performed using, for example, AI, or without AI. For example, the analysis unit can input relevant literature data into a generating AI and have the generating AI perform the improvement of the analysis accuracy.

[0084] The Feng Shui advice system includes a generation unit that estimates the user's emotions and adjusts the expression of the advice generated based on the estimated emotions. For example, if the user is relaxed, the generation unit provides advice in a relaxed manner. If the user is in a hurry, the generation unit can provide advice in a concise and to-the-point manner. If the user is excited, the generation unit can provide advice in a visually stimulating manner. This allows the expression of the advice generated to be adjusted based on the user's emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or a generation AI. The generation AI is, but is not limited to, a text generation AI (e.g., LLM) or a multimodal generation AI. Some or all of the above processing in the generation unit may be performed using AI, or not using AI. For example, the generation unit can input the user's emotion data into the generation AI and have the generation AI adjust the expression of the advice.

[0085] The Feng Shui advice system includes a generation unit that adjusts the level of detail of the advice based on the importance of Feng Shui principles during generation. For example, if a Feng Shui principle is important, the generation unit provides detailed advice. If a Feng Shui principle is not very important, the generation unit can provide simplified advice. Furthermore, if only a part of a Feng Shui principle is important, the generation unit can provide advice that focuses on that part. This allows the level of detail of the advice to be adjusted based on the importance of the Feng Shui principles. Some or all of the above processing in the generation unit may be performed using AI, for example, or without AI. For example, the generation unit can input Feng Shui principle importance data into a generation AI and have the generation AI perform the adjustment of the level of detail of the advice.

[0086] The Feng Shui advice system includes a generation unit that applies different advice generation algorithms depending on the user's lifestyle during the generation process. For example, if the user wants to relax, the generation unit can apply an algorithm that generates advice on a relaxing layout. If the user wants to improve their work efficiency, the generation unit can apply an algorithm that generates advice on a layout that enhances concentration. If the user prioritizes health, the generation unit can apply an algorithm that generates advice on a healthy layout. This allows for the application of different advice generation algorithms depending on the user's lifestyle. Some or all of the above processing in the generation unit may be performed using AI, for example, or without AI. For example, the generation unit can input the user's lifestyle data into a generation AI and have the generation AI execute the application of the advice generation algorithm.

[0087] The Feng Shui advice system includes a generation unit that estimates the user's emotions and adjusts the length of the advice generated based on the estimated emotions. For example, if the user is in a hurry, the generation unit generates short, concise advice. If the user is relaxed, the generation unit can generate longer advice with detailed explanations. If the user is excited, the generation unit can also generate advice with visually stimulating effects. This allows the length of the advice generated to be adjusted based on the user's emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or a generation AI. The generation AI is, but is not limited to, a text generation AI (e.g., LLM) or a multimodal generation AI. Some or all of the above processing in the generation unit may be performed using AI or not. For example, the generation unit can input the user's emotion data into the generation AI and have the generation AI adjust the length of the advice.

[0088] The Feng Shui advice system includes a generation unit that adjusts the order of advice based on the relationships between Feng Shui principles during generation. For example, if a Feng Shui principle is important, the generation unit will provide advice based on that principle first. If a Feng Shui principle is not very important, the generation unit can postpone the advice based on that principle. Furthermore, if only a part of a Feng Shui principle is important, the generation unit can prioritize providing advice based on that part. This allows the order of advice to be adjusted based on the relationships between Feng Shui principles. Some or all of the above processing in the generation unit may be performed using AI, for example, or not. For example, the generation unit can input relationship data of Feng Shui principles into a generation AI and have the generation AI perform the adjustment of the advice order.

[0089] The Feng Shui advice system includes a generation unit that improves the accuracy of advice based on the user's past advice history during the generation process. For example, the generation unit provides optimal advice based on the advice the user has received in the past. The generation unit can also extract and provide effective advice from the user's past advice history. Furthermore, the generation unit can analyze the user's past advice history and provide the most suitable advice. This allows for improved advice accuracy by referencing the user's past advice history. Some or all of the above processing in the generation unit may be performed using, for example, AI, or without AI. For example, the generation unit can input the user's past advice history data into a generation AI and have the generation AI perform the improvement of advice accuracy.

[0090] The Feng Shui advice system includes a delivery unit that estimates the user's emotions and adjusts the method of providing advice based on the estimated emotions. For example, if the user is relaxed, the delivery unit will provide advice at a relaxed pace. If the user is in a hurry, the delivery unit can provide advice quickly. If the user is excited, the delivery unit can also provide advice in a visually stimulating way. This allows the method of providing advice to be adjusted based on the user's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. The generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the delivery unit may be performed using AI or not using AI. For example, the delivery unit can input the user's emotion data into the generative AI and have the generative AI adjust the method of providing advice.

[0091] The Feng Shui advice system includes a delivery unit that, at the time of delivery, selects a delivery method based on the user's past advice-receiving history. The delivery unit, for example, delivers advice using a method the user has preferred in the past. The delivery unit can also select the most effective delivery method from the user's past delivery history. Furthermore, the delivery unit can select the optimal delivery method based on feedback from the user's past advice-receiving history. This allows the system to select the optimal delivery method by referring to the user's past advice-receiving history. Some or all of the above processing in the delivery unit may be performed using AI, for example, or without AI. For example, the delivery unit can input the user's past advice-receiving history data into a generating AI and have the generating AI perform the selection of the delivery method.

[0092] The Feng Shui advice system includes a delivery unit that customizes the means of providing advice based on the user's current living situation. For example, if the user is busy, the delivery unit can provide concise advice. If the user is relaxed, the delivery unit can provide detailed advice. Furthermore, if the user is participating in a specific event, the delivery unit can provide advice related to that event. This allows the means of providing advice to be customized based on the user's current living situation. Some or all of the above processing in the delivery unit may be performed using AI, for example, or without AI. For example, the delivery unit can input the user's living situation data into a generating AI and have the generating AI perform the customization of the means of providing advice.

[0093] The Feng Shui advice system includes a service provider that estimates the user's emotions and adjusts the frequency of advice delivery based on the estimated emotions. For example, if the user is feeling stressed, the service provider can reduce the frequency of advice delivery. Conversely, if the user is relaxed, the service provider can increase the frequency of advice delivery. Furthermore, if the user is in a hurry, the service provider can deliver advice at the minimum necessary frequency. This allows the service provider to adjust the frequency of advice delivery based on the user's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or a generative AI. The generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the service provider may be performed using AI, for example, or not using AI. For example, the service provider can input the user's emotion data into the generative AI and have the generative AI adjust the frequency of advice delivery.

[0094] The Feng Shui advice system includes a delivery unit that, at the time of delivery, selects an advice delivery method based on the user's geographical location information. For example, if the user is in an urban area, the delivery unit will provide advice suitable for urban areas. If the user is in a suburban area, the delivery unit can provide advice suitable for suburban areas. Furthermore, if the user is in a specific region, the delivery unit can provide advice based on the Feng Shui principles of that region. This allows the system to select the optimal advice delivery method considering the user's geographical location information. Some or all of the above processing in the delivery unit may be performed using AI, for example, or without AI. For example, the delivery unit can input the user's geographical location data into a generating AI and have the generating AI perform the selection of the advice delivery method.

[0095] The Feng Shui advice system includes a service provision unit that analyzes the user's social media activity and proposes methods for providing advice. For example, the service provision unit provides relevant advice based on information shared by the user on social media. It can also provide relevant advice based on information about accounts followed by the user on social media. Furthermore, it can provide relevant advice based on information about posts that the user has "liked" on social media. This allows the system to analyze the user's social media activity and propose methods for providing advice. Some or all of the above processing in the service provision unit may be performed using AI, for example, or without AI. For example, the service provision unit can input the user's social media data into a generating AI and have the generating AI propose methods for providing advice.

[0096] The Feng Shui advice system includes a customization unit that estimates the user's emotions and adjusts the advice customization method based on the estimated emotions. For example, if the user is relaxed, the customization unit will customize advice regarding relaxing arrangements. If the user is in a hurry, the customization unit can customize concise and to-the-point advice. If the user is excited, the customization unit can customize visually stimulating advice. This allows the advice customization method to be adjusted based on the user's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. The generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the customization unit may be performed using AI or not. For example, the customization unit can input the user's emotion data into the generative AI and have the generative AI adjust the advice customization method.

[0097] The Feng Shui advice system includes a customization unit that selects a customization method based on the user's past lifestyle data during the customization process. The customization unit customizes the advice based, for example, on the user's past preferred layouts and designs. It can also select the most effective customization method from the user's past lifestyle data. Furthermore, the customization unit can select the optimal customization method based on the user's past feedback. This allows for the selection of the optimal customization method by referencing the user's past lifestyle data. Some or all of the above-described processes in the customization unit may be performed using, for example, AI, or without AI. For example, the customization unit can input the user's past lifestyle data into a generating AI and have the generating AI select the customization method.

[0098] The Feng Shui advice system includes a customization unit that estimates the user's emotions and determines the priority of customization based on the estimated emotions. For example, if the user is feeling stressed, the customization unit will prioritize customizing a relaxing arrangement. If the user is relaxed, the customization unit can perform detailed customization. If the user is in a hurry, the customization unit can also perform concise customization. This allows the system to determine the priority of customization based on the user's emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or generative AI. The generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above-described processing in the customization unit may be performed using AI or not. For example, the customization unit can input the user's emotion data into the generative AI and have the generative AI determine the priority of customization.

[0099] The Feng Shui advice system includes a customization unit that selects a customization method based on the user's geographical location information during the customization process. For example, if the user lives in an urban area, the customization unit will perform customization suitable for urban areas. If the user lives in a suburban area, the customization unit can perform customization suitable for suburban areas. Furthermore, if the user lives in a specific region, the customization unit can perform customization based on the Feng Shui principles of that region. This allows for the selection of the optimal customization method considering the user's geographical location information. Some or all of the above-described processes in the customization unit may be performed using AI, for example, or without AI. For example, the customization unit can input the user's geographical location data into a generating AI and have the generating AI perform the selection of the customization method.

[0100] The Feng Shui advice system includes a suggestion unit that estimates the user's emotions and adjusts the way suggestions are presented based on those emotions. For example, if the user is relaxed, the suggestion unit will present suggestions in a relaxed manner. If the user is in a hurry, the suggestion unit will present suggestions in a concise and to-the-point manner. If the user is excited, the suggestion unit can present suggestions in a visually stimulating manner. This allows the system to adjust the way suggestions are presented based on the user's emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or a generative AI. The generative AI is, but is not limited to, a text generation AI (e.g., LLM) or a multimodal generation AI. Some or all of the processing described above in the suggestion unit may be performed using AI or not. For example, the suggestion unit can input the user's emotion data into the generative AI and have the generative AI adjust the way suggestions are presented.

[0101] The Feng Shui advice system includes a suggestion unit that adjusts the level of detail in the suggestion based on the importance of the Feng Shui principles. For example, if a Feng Shui principle is important, the suggestion unit will provide a detailed suggestion. If a Feng Shui principle is not very important, the suggestion unit can provide a simplified suggestion. Furthermore, if only a part of the Feng Shui principle is important, the suggestion unit can focus on that part in the suggestion unit. This allows the level of detail in the suggestion unit to be adjusted based on the importance of the Feng Shui principles. Some or all of the above processing in the suggestion unit may be performed using AI, for example, or without AI. For example, the suggestion unit can input Feng Shui principle importance data into a generating AI and have the generating AI perform the adjustment of the level of detail in the suggestion.

[0102] The Feng Shui advice system includes a suggestion unit that estimates the user's emotions and determines the priority of suggestions based on the estimated emotions. For example, if the user is feeling stressed, the suggestion unit will prioritize suggestions that promote relaxation. If the user is relaxed, the suggestion unit can provide detailed suggestions. If the user is in a hurry, the suggestion unit can also provide concise suggestions. This allows the system to determine the priority of suggestions based on the user's emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or generative AI. The generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the processing described above in the suggestion unit may be performed using AI or not. For example, the suggestion unit can input the user's emotion data into the generative AI and have the generative AI determine the priority of suggestions.

[0103] The Feng Shui advice system includes a suggestion unit that selects a suggestion method based on the user's geographical location information. For example, if the user lives in an urban area, the suggestion unit will provide suggestions suitable for urban areas. If the user lives in a suburban area, the suggestion unit can provide suggestions suitable for suburban areas. Furthermore, if the user lives in a specific region, the suggestion unit can provide suggestions based on the Feng Shui principles of that region. This allows the system to select the optimal suggestion method considering the user's geographical location information. Some or all of the above processing in the suggestion unit may be performed using AI, for example, or without AI. For example, the suggestion unit can input the user's geographical location data into a generating AI and have the generating AI select the suggestion method.

[0104] The system according to the embodiment is not limited to the example described above, and various modifications are possible, for example, as follows.

[0105] A feng shui advice system can also include a health monitoring unit that monitors the user's health status and customizes advice based on that status. For example, if the user is feeling stressed, it can provide advice on relaxing layouts and designs. If the user is tired, it can provide advice on layouts and designs that promote rest. Furthermore, if the user wants to maintain their health, it can provide advice on layouts and designs that are good for their health. This allows for the customization of advice based on the user's health status.

[0106] A feng shui advice system can also include a hobby customization section that tailors advice based on the user's hobbies and interests. For example, if the user enjoys music, it can provide advice on the optimal arrangement and design for enjoying music. Similarly, if the user enjoys reading, it can provide advice on the optimal arrangement and design for reading. Furthermore, if the user enjoys cooking, it can provide advice on the optimal arrangement and design for cooking. This allows for the customization of advice based on the user's hobbies and interests.

[0107] The feng shui advice system can also include a family customization section that tailors advice based on the user's family structure. For example, if the user has children, it can provide advice on layouts and designs that ensure the children's safety. If the user lives with elderly people, it can provide advice on layouts and designs that ensure the elderly are comfortable. Furthermore, if the user has pets, it can provide advice on layouts and designs that ensure the pets are comfortable. This allows for the customization of advice based on the user's family structure.

[0108] A feng shui advice system can also include a delivery unit that estimates the user's emotions and adjusts the timing of advice delivery based on those emotions. For example, if the user is relaxed, the timing of advice delivery can be delayed. Conversely, if the user is in a hurry, advice can be delivered quickly. Furthermore, if the user is stressed, the timing of advice delivery can be adjusted to alleviate the user's stress. This allows for the timing of advice delivery to be adjusted based on the user's emotions.

[0109] A feng shui advice system can also include an evaluation unit that analyzes the user's past advice history and assesses the effectiveness of the advice. For example, it can evaluate the effectiveness of advice the user has received in the past and provide the most suitable advice. It can also extract and provide effective advice from the user's past advice history. Furthermore, it can analyze the user's past advice history and provide the most appropriate advice. This allows for the evaluation of the effectiveness of advice by referring to the user's past advice history.

[0110] A feng shui advice system can also include a generator that estimates the user's emotions and adjusts the advice based on those emotions. For example, if the user is relaxed, it can provide advice on relaxing layouts and designs. If the user is in a hurry, it can provide concise and to-the-point advice. Furthermore, if the user is excited, it can provide visually stimulating advice. This allows the advice to be tailored based on the user's emotions.

[0111] A Feng Shui advice system can also include a geographic customization section that tailors the advice based on the user's geographical location. For example, if the user lives in an urban area, it can provide advice on layout and design suitable for urban areas. If the user lives in a suburban area, it can provide advice on layout and design suitable for suburban areas. Furthermore, if the user lives in a specific region, it can provide advice on layout and design based on the Feng Shui principles of that region. This allows for the customization of advice based on the user's geographical location.

[0112] A feng shui advice system can also include a visual representation section that estimates the user's emotions and adjusts the visual representation of the advice based on those emotions. For example, if the user is relaxed, it can provide a visual representation with calming colors. If the user is excited, it can provide a visual representation with bright colors. Furthermore, if the user is stressed, it can provide a visual representation that reduces stress. This allows the visual representation of the advice to be adjusted based on the user's emotions.

[0113] The Feng Shui advice system can also include a social media customization section that analyzes the user's social media activity and customizes the advice accordingly. For example, it can provide relevant layout and design advice based on interior design information shared by the user on social media. It can also provide relevant layout and design advice based on design accounts the user follows on social media. Furthermore, it can provide relevant layout and design advice based on posts the user "likes" on social media. This allows for the analysis of the user's social media activity and the customization of the advice.

[0114] A Feng Shui advice system can also include a voice expression unit that estimates the user's emotions and adjusts the voice expression of the advice based on those emotions. For example, if the user is relaxed, the advice can be given in a calm voice. If the user is in a hurry, the advice can be given in a quick and clear voice. Furthermore, if the user is excited, the advice can be given in an energetic voice. This allows the voice expression of the advice to be adjusted based on the user's emotions.

[0115] The following briefly describes the processing flow for example form 2.

[0116] Step 1: The input section allows the user to input room layout information. This information includes, for example, room dimensions, furniture placement, and window and door locations. The input section allows users to take photos of room layouts using their smartphones or tablets and input the image data into the system. Users can also manually input room dimensions and furniture placement. Step 2: The analysis unit analyzes the information entered by the input unit based on the principles of Feng Shui. These principles include the flow of energy, the balance of the Five Elements, and directions. Based on the entered room diagram, the analysis unit analyzes the flow of energy and evaluates the balance of the Five Elements. It can also evaluate the room layout based on directions. Step 3: The generation unit generates optimal advice based on the analysis results obtained by the analysis unit. The generated advice may include, for example, changing the furniture arrangement, selecting colors, or adding decorations. If the user wants to relax, the generation unit will generate advice on arrangements and designs that promote relaxation. If the user wants to improve their work efficiency, it can also generate advice on arrangements and designs that enhance concentration. Step 4: The provider unit provides the user with the advice generated by the generator unit. The provider unit displays the generated advice to the user in text format. It can also provide the generated advice to the user in graphic format. Furthermore, the provider unit can provide the generated advice to the user in audio format.

[0117] 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.

[0118] Data generation model 58 is a form of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> Examples of generative AI include text generation AI, image generation AI, and multimodal generation AI. 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 (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats from audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), k-means clustering, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each of the above parts is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example.Furthermore, processing performed by AI, including generative AI, may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by AI, including generative AI.

[0119] Furthermore, the processing performed by the data processing system 10 described above is carried out by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but it may also be carried out by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0120] For example, the input unit allows the user to input room plans and layout information using the reception device 38 of the smart device 14. For example, the analysis unit analyzes the input information based on the principles of feng shui using the specific processing unit 290 of the data processing device 12. For example, the generation unit generates optimal advice using the specific processing unit 290 of the data processing device 12. For example, the provision unit provides the generated advice to the user using the output device 40 of the smart device 14. The correspondence between each unit and the devices and control units is not limited to the examples described above and can be modified in various ways.

[0121] [Second Embodiment] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0122] 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.

[0123] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. 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 and / or LAN.

[0124] 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.

[0125] The microphone 238 receives voice signals from the user and accepts instructions from the user. The microphone 238 captures the voice signals from the user, 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.

[0126] 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, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0127] 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.

[0128] 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 by the processor 28. The storage 32 stores the specific processing program 56.

[0129] The processor 28 reads a 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 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0130] 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. The identification processing unit 290 can estimate the user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0131] In the smart glasses 214, specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 acting as a control unit 46A according to the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model 58 and an emotion identification model 59, similar to the data generation model and emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0132] Furthermore, other devices besides the data processing device 12 may also have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[0133] 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.

[0134] The data generation model 58 is a so-called generative AI. An example of a data generation model 58 is a generative AI such as ChatGPT. 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 inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative AI.

[0135] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but it may also be performed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart glasses 214 or an external device, and the smart glasses 214 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0136] For example, the input unit allows the user to input room plans and layout information using the microphone 238 of the smart glasses 214. For example, the analysis unit analyzes the input information based on the principles of feng shui using the specific processing unit 290 of the data processing device 12. For example, the generation unit generates optimal advice using the specific processing unit 290 of the data processing device 12. For example, the provision unit provides the generated advice to the user using the speaker 240 of the smart glasses 214. The correspondence between each unit and the device or control unit is not limited to the examples described above and can be modified in various ways.

[0137] [Third Embodiment] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0138] 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.

[0139] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. 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 and / or LAN.

[0140] 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.

[0141] The microphone 238 receives voice signals from the user and accepts instructions from the user. The microphone 238 captures the voice signals from the user, 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.

[0142] 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, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0143] 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.

[0144] 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.

[0145] The processor 28 reads a 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 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0146] 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. The identification processing unit 290 can estimate the user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0147] In the headset terminal 314, specific processing is performed by the processor 46. The storage 50 stores a specific program 60. The processor 46 reads the specific program 60 from the storage 50 and executes the read specific program 60 on the RAM 48. The specific processing is realized by the processor 46 acting as a control unit 46A according to the specific program 60 executed on the RAM 48. The headset terminal 314 also has a data generation model 58 and an emotion identification model 59, similar to the data generation model and emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0148] Furthermore, other devices besides the data processing device 12 may also have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[0149] 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.

[0150] The data generation model 58 is a so-called generative AI. An example of a data generation model 58 is a generative AI such as ChatGPT. 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 inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative AI.

[0151] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset terminal 314, but may also be performed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset terminal 314. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the headset terminal 314 or an external device, and the headset terminal 314 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0152] For example, the input unit allows the user to input room plans and layout information using the microphone 238 of the headset terminal 314. For example, the analysis unit analyzes the input information based on the principles of feng shui using the specific processing unit 290 of the data processing device 12. For example, the generation unit generates optimal advice using the specific processing unit 290 of the data processing device 12. For example, the provision unit provides the generated advice to the user using the speaker 240 of the headset terminal 314. The correspondence between each unit and the device or control unit is not limited to the examples described above and can be modified in various ways.

[0153] [Fourth Embodiment] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0154] 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.

[0155] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. 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 and / or LAN.

[0156] 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.

[0157] The microphone 238 receives voice signals from the user and accepts instructions from the user. The microphone 238 captures the voice signals from the user, 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.

[0158] 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 image sensor or CCD image sensor, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0159] 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.

[0160] 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. The robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0161] 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.

[0162] The processor 28 reads a 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 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0163] 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. The identification processing unit 290 can estimate the user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0164] In robot 414, specific processing is performed by processor 46. A specific program 60 is stored in storage 50. Processor 46 reads the specific program 60 from storage 50 and executes it on RAM 48. The specific processing is achieved by processor 46 acting as a control unit 46A according to the specific program 60 executed on RAM 48. Robot 414 also has data generation model 58 and emotion identification model 59, similar to those of the robot, and can perform processing similar to that of the specific processing unit 290 using these models.

[0165] Furthermore, other devices besides the data processing device 12 may also have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 obtains processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[0166] 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.

[0167] The data generation model 58 is a so-called generative AI. An example of a data generation model 58 is a generative AI such as ChatGPT. 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 inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative AI.

[0168] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but it may also be performed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the robot 414 or an external device, and the robot 414 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0169] For example, the input unit allows the user to input room plans and layout information using the microphone 238 of the robot 414. For example, the analysis unit analyzes the input information based on the principles of feng shui using the specific processing unit 290 of the data processing device 12. For example, the generation unit generates optimal advice using the specific processing unit 290 of the data processing device 12. For example, the provision unit provides the generated advice to the user using the speaker 240 of the robot 414. The correspondence between each unit and the device or control unit is not limited to the examples described above and can be modified in various ways.

[0170] 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.

[0171] Figure 9 shows the 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.

[0172] 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.

[0173] 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.

[0174] 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, and motorcycles, 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 based, for example, 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.

[0175] 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."

[0176] 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.

[0177] 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 method for the specific process may be used, which includes computer 22 and multiple other computers.

[0178] 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.

[0179] 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.

[0180] 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.

[0181] 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.

[0182] 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.

[0183] 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.

[0184] 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.

[0185] Furthermore, although the above-described examples were divided into four embodiments, some or all of these embodiments may be combined. Also, the smart device 14, smart glasses 214, headset terminal 314, and robot 414 are just examples, and they may be combined, or other devices may be used. Also, although the above-described examples were divided into two embodiments, Embodiment 1 and Embodiment 2, these may be combined.

[0186] 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 other things 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.

[0187] 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.

[0188] (Note 1) An input section where the user enters room plans or layout information, An analysis unit that analyzes the information input by the aforementioned input unit based on the principles of Feng Shui, A generation unit that generates advice based on the analysis results obtained by the aforementioned analysis unit, The system includes a providing unit that provides advice generated by the generation unit to the user. A system characterized by the following features. (Note 2) It features a customization section that allows users to tailor advice to their lifestyle or preferences. The system described in Appendix 1, characterized by the features described herein. (Note 3) The facility includes a proposal department that provides specific layout or design suggestions based on the principles of Feng Shui. The system described in Appendix 1, characterized by the features described herein. (Note 4) The aforementioned input unit is It estimates the user's emotions and adjusts the input interface design based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 5) The aforementioned input unit is Analyze the user's past input history and suggest input methods. The system described in Appendix 1, characterized by the features described herein. (Note 6) The aforementioned input unit is When entering room plans and layout information, the input fields are filtered based on the user's current living situation and areas of interest. The system described in Appendix 1, characterized by the features described herein. (Note 7) The aforementioned input unit is It estimates the user's emotions and prioritizes the information to be entered based on the estimated user emotions. The system described in Appendix 1, characterized by the features described herein. (Note 8) The aforementioned input unit is When entering room plans and layout information, the system prioritizes inputting information that is highly relevant based on the user's geographical location. The system described in Appendix 1, characterized by the features described herein. (Note 9) The aforementioned input unit is When entering room plans and layout information, the system analyzes the user's social media activity and inputs relevant information. The system described in Appendix 1, characterized by the features described herein. (Note 10) The aforementioned analysis unit is It estimates the user's emotions and adjusts the analysis algorithm based on the estimated user emotions. The system described in Appendix 1, characterized by the features described herein. (Note 11) The aforementioned analysis unit is During the analysis, the accuracy of the analysis is adjusted based on the level of detail in the room layout and floor plan information. The system described in Appendix 1, characterized by the features described herein. (Note 12) The aforementioned analysis unit is During the analysis, different analytical methods are applied depending on the room category. The system described in Appendix 1, characterized by the features described herein. (Note 13) The aforementioned analysis unit is It estimates the user's emotions and adjusts how the analysis results are displayed based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 14) The aforementioned analysis unit is During the analysis, the priority of the analysis will be determined based on when the room floor plans and layout information were submitted. The system described in Appendix 1, characterized by the features described herein. (Note 15) The aforementioned analysis unit is During analysis, improve the accuracy of the analysis based on relevant literature for the room. The system described in Appendix 1, characterized by the features described herein. (Note 16) The generating unit is It estimates the user's emotions and adjusts how advice is expressed based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 17) The generating unit is During generation, the level of detail in the advice is adjusted based on the importance of the principles of Feng Shui. The system described in Appendix 1, characterized by the features described herein. (Note 18) The generating unit is During generation, different advice generation algorithms are applied depending on the user's lifestyle. The system described in Appendix 1, characterized by the features described herein. (Note 19) The generating unit is It estimates the user's emotions and adjusts the length of the advice generated based on those emotions. The system described in Appendix 1, characterized by the features described herein. (Note 20) The generating unit is During generation, the order of advice is adjusted based on the relationships of Feng Shui principles. The system described in Appendix 1, characterized by the features described herein. (Note 21) The generating unit is During generation, the accuracy of the advice is improved based on the user's past advice history. The system described in Appendix 1, characterized by the features described herein. (Note 22) The aforementioned supply unit is, It estimates the user's emotions and adjusts how advice is delivered based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 23) The aforementioned supply unit is, When providing the service, the method of delivery will be selected based on the user's past advice-receiving history. The system described in Appendix 1, characterized by the features described herein. (Note 24) The aforementioned supply unit is, When providing the service, the method of delivering advice will be customized based on the user's current living situation. The system described in Appendix 1, characterized by the features described herein. (Note 25) The aforementioned supply unit is, It estimates the user's emotions and adjusts the frequency of advice provided based on those emotions. The system described in Appendix 1, characterized by the features described herein. (Note 26) The aforementioned supply unit is, When providing the service, the method of providing advice will be selected based on the user's geographical location. The system described in Appendix 1, characterized by the features described herein. (Note 27) The aforementioned supply unit is, When providing the service, we analyze the user's social media activity and suggest methods for providing advice. The system described in Appendix 1, characterized by the features described herein. (Note 28) The aforementioned customization unit is It estimates the user's emotions and adjusts how advice is customized based on those estimated emotions. The system described in Appendix 2, characterized by the features described herein. (Note 29) The aforementioned customization unit is During customization, the customization method is selected based on the user's past lifestyle data. The system described in Appendix 2, characterized by the features described herein. (Note 30) The aforementioned customization unit is It estimates the user's emotions and determines the priority of customization based on those estimated emotions. The system described in Appendix 2, characterized by the features described herein. (Note 31) The aforementioned customization unit is During customization, the customization method is selected based on the user's geographical location. The system described in Appendix 2, characterized by the features described herein. (Note 32) The aforementioned proposal section is, It estimates the user's emotions and adjusts the way suggestions are presented based on those estimated emotions. The system described in Appendix 3, characterized by the features described herein. (Note 33) The aforementioned proposal section is, When making a proposal, adjust the level of detail based on the importance of the principles of Feng Shui. The system described in Appendix 3, characterized by the features described herein. (Note 34) The aforementioned proposal section is, It estimates the user's emotions and determines the priority of suggestions based on the estimated user emotions. The system described in Appendix 3, characterized by the features described herein. (Note 35) The aforementioned proposal section is, When making a proposal, the proposal method is selected based on the user's geographical location information. The system described in Appendix 3, characterized by the features described herein. [Explanation of Symbols]

[0189] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots

Claims

1. An input section where the user enters room plans or layout information, An analysis unit that analyzes the information input by the aforementioned input unit based on the principles of Feng Shui, A generation unit that generates advice based on the analysis results obtained by the aforementioned analysis unit, The system includes a providing unit that provides advice generated by the generation unit to the user. A system characterized by the following features.

2. It features a customization section that allows users to tailor advice to their lifestyle or preferences. The system according to feature 1.

3. The facility includes a proposal department that provides specific layout or design suggestions based on the principles of Feng Shui. The system according to feature 1.

4. The aforementioned input unit is It estimates the user's emotions and adjusts the input interface design based on those estimated emotions. The system according to feature 1.

5. The aforementioned input unit is Analyze the user's past input history and suggest input methods. The system according to feature 1.

6. The aforementioned input unit is When entering room plans and layout information, the input fields are filtered based on the user's current living situation and areas of interest. The system according to feature 1.

7. The aforementioned input unit is It estimates the user's emotions and prioritizes the information to be entered based on the estimated user emotions. The system according to feature 1.

8. The aforementioned input unit is When entering room plans and layout information, the system prioritizes inputting information that is highly relevant based on the user's geographical location. The system according to feature 1.

9. The aforementioned input unit is When entering room plans and layout information, the system analyzes the user's social media activity and inputs relevant information. The system according to feature 1.

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