system

Abstract

The system according to this embodiment aims to create an optimal wedding plan that reflects the user's values ​​and wishes. [Solution] The system according to the embodiment comprises an analysis unit, a proposal unit, a design unit, an optimization unit, and a creation unit. The analysis unit analyzes the user's values ​​and desires. The proposal unit proposes wedding themes and styles based on the results analyzed by the analysis unit. The design unit designs the wedding story based on the themes and styles proposed by the proposal unit. The optimization unit optimally allocates the wedding budget based on the story designed by the design unit. The creation unit creates a specific wedding plan based on the budget optimized by the optimization unit.

Description

Technical Field

[0006] , , ,

[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 in response to the user utterance.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

[0007] The system according to this embodiment can create an optimal wedding plan that reflects the user's values ​​and wishes. [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 including 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 wedding planning system according to an embodiment of the present invention is an innovative AI-powered wedding planning service designed to solve challenges in wedding preparations. This system begins with a user values ​​assessment process. The values ​​assessment involves the AI ​​analyzing the couple's values ​​and desires and proposing wedding themes and styles. Next, story design takes place. Based on the couple's values ​​assessment results, the AI ​​designs the wedding story. Following this, budget optimization is performed. The AI ​​proposes ways to optimally allocate the wedding budget and reduce costs. Finally, a concrete plan is created. The AI ​​creates a specific wedding plan based on the couple's wishes and budget. This service provides 24 / 7 support, allowing consultations anytime, anywhere. Furthermore, budgets and plans are updated in real time, and the service is multimodal, allowing consultations via text, images, and voice. This enables couples to efficiently prepare for their wedding and realize a truly unique wedding story. For example, when a user undergoes a values ​​assessment, the AI ​​analyzes the couple's values ​​and desires and proposes wedding themes and styles. Next, the AI ​​designs the wedding story based on the couple's values ​​assessment results. Furthermore, the AI ​​optimizes the wedding budget allocation and suggests ways to reduce costs. Finally, the AI ​​creates a specific wedding plan based on the couple's wishes and budget. This allows the couple to efficiently prepare for their wedding and realize a truly unique wedding story. In short, the wedding planning system can analyze the user's values ​​and wishes, suggest wedding themes and styles, design a story, optimize budget allocation, and create a specific plan.

[0029] The wedding planning system according to this embodiment comprises an analysis unit, a proposal unit, a design unit, an optimization unit, and a creation unit. The analysis unit analyzes the user's values ​​and desires. The user's values ​​and desires include, but are not limited to, expectations, preferences, and budget for the wedding. The analysis unit analyzes the user's values ​​and desires using, for example, a questionnaire survey. The analysis unit can also analyze the user's values ​​and desires through interviews. Furthermore, the analysis unit can analyze the user's values ​​and desires using data mining techniques. For example, the analysis unit conducts a questionnaire survey and analyzes values ​​and desires based on the user's responses. In interviews, detailed values ​​and desires are grasped through dialogue with the user. By using data mining techniques, the user's values ​​and desires can be extracted from a large amount of data. The proposal unit proposes wedding themes and styles based on the results analyzed by the analysis unit. The proposal unit makes proposals based on, for example, criteria for selecting themes and styles. The proposal unit can use text, images, audio, etc., as the format of its proposals. For example, the proposal department selects the most suitable theme and style based on the analysis results and proposes it to the user. The proposal can be presented in text format with detailed explanations. Images can be used to visually propose themes and styles. Audio can be used to make intuitive proposals to the user. The design department designs the wedding story based on the theme and style proposed by the proposal department. The design department considers the constituent elements of the story when designing. As part of the design process, the design department can concretize the story through dialogue with the user. For example, the design department determines the main elements of the story based on the theme and style. They refine the story details through dialogue with the user. The design department concretizes the flow and presentation of the story and proposes it to the user. The optimization department optimally allocates the wedding budget based on the story designed by the design department. For example, the optimization department allocates the budget considering cost-effectiveness. The optimization department can also allocate the budget based on priorities. For example, the optimization department prioritizes allocating the budget to important elements of the story.To maximize cost-effectiveness, methods for reducing costs are proposed. The budget is efficiently allocated based on priorities. The creation unit creates a specific wedding plan based on the budget optimized by the optimization unit. The creation unit, for example, creates a schedule and allocates resources. The creation unit can also select venues and propose decorations. For example, the creation unit creates a detailed wedding schedule. It allocates resources and proceeds with the preparation of each element. It selects venues and proposes decorations, providing the user with a specific plan. Thus, the wedding planning system according to this embodiment can analyze the user's values ​​and wishes, propose wedding themes and styles, design a story, optimally allocate the budget, and create a specific plan.

[0030] The analytics department analyzes users' values ​​and desires. These values ​​and desires include, but are not limited to, expectations, preferences, and budgets regarding weddings. The analytics department can analyze users' values ​​and desires using, for example, surveys. They can also analyze them through interviews. Furthermore, they can analyze users' values ​​and desires using data mining techniques. For example, the analytics department conducts surveys and analyzes values ​​and desires based on user responses. Interviews allow for a detailed understanding of values ​​and desires through dialogue with users. Data mining techniques allow for the extraction of user values ​​and desires from large amounts of data. When conducting surveys, the analytics department asks detailed questions to clarify specific wishes and expectations regarding weddings. For example, they ask about various elements such as wedding themes, colors, decorations, music, cuisine, and guest lists to understand users' preferences and priorities. Interviews allow for the elicitation of deeper values ​​and desires through dialogue with users. For example, the system collects detailed information such as what kind of wedding the user envisions, what kind of memories they want to create, and what kind of atmosphere they desire. By using data mining techniques, it is possible to analyze past wedding data and data from other users to predict the user's values ​​and desires. For instance, by analyzing past wedding data to see which users are interested in specific themes or styles, the system can make suggestions that match the user's wishes. This allows the analytics department to gain a detailed understanding of the user's values ​​and desires, which can then be used to help with wedding planning.

[0031] The proposal department proposes wedding themes and styles based on the results analyzed by the analysis department. The proposal department makes suggestions based on criteria for selecting themes and styles, for example. The proposal department can use text, images, and audio as forms of presentation. For example, the proposal department selects the most suitable theme and style based on the analysis results and proposes it to the user. Detailed explanations can be provided in text format. Images can be used to visually present themes and styles. Audio can be used to make suggestions intuitive to the user. The proposal department proposes multiple themes and styles based on the user's values ​​and desires, allowing the user to choose. For example, if the user desires a classic wedding, the proposal department will suggest classic themes and styles to help the user visualize them. The proposal department can collect user reactions and feedback and adjust the proposals accordingly. For example, it can check how the user felt about the proposed themes and styles and make alternative suggestions as needed. The proposal department utilizes visual elements and audio guidance to help users easily understand the proposals. For example, it can provide sample images of themes and styles to help users visualize them. Furthermore, voice guidance will be used to clearly explain the proposed content, enabling users to understand it intuitively. This will allow the proposal department to suggest the most suitable wedding theme and style based on the user's values ​​and wishes, and support the user in realizing their ideal wedding.

[0032] The design department designs the wedding story based on the themes and styles proposed by the proposal department. The design department designs by considering the constituent elements of the story, for example. As part of the design process, the design department can concretize the story through dialogue with the user. For example, the design department determines the main elements of the story based on the theme and style. They refine the details of the story through dialogue with the user. The design department concretizes the flow and presentation of the story and proposes it to the user. The design department designs each scene and event of the wedding in detail based on the user's wishes. For example, they design the flow from the beginning to the end of the wedding and concretize the presentation, decorations, music, lighting, etc. for each scene. When refining the details of the story through dialogue with the user, it is important to reflect the user's opinions and requests. The design department concretizes the image of the wedding that the user ideally wants and proposes the flow and presentation of the story. For example, they incorporate specific scenes and events that the user wants and design while considering the balance of the overall story. The design department can provide the user with a concrete image using storyboards and simulations. For example, storyboards are used to visually represent the flow and presentation of each scene in the wedding, allowing users to form a concrete image. Simulations are also used to verify the effects of wedding presentations and decorations, and these are then proposed to the user. This allows the design department to concretize the wedding story based on the user's wishes, supporting them in realizing their ideal wedding.

[0033] The optimization unit optimally allocates the wedding budget based on the story designed by the design unit. For example, the optimization unit allocates the budget considering cost-effectiveness. The optimization unit can allocate the budget based on priorities. For example, the optimization unit prioritizes allocating the budget to important elements of the story. To maximize cost-effectiveness, it proposes methods for reducing costs. It efficiently allocates the budget based on priorities. The optimization unit optimizes the budget allocation for each element of the wedding based on the user's budget. For example, it optimizes the budget allocation for the decorations and performances desired by the user to maximize cost-effectiveness. The optimization unit proposes methods for reducing costs and supports the user in realizing their ideal wedding within their budget. For example, it proposes methods for doing some of the decorations and performances as DIY, or selecting cost-effective vendors. The optimization unit performs budget allocation simulations and proposes the optimal budget allocation to the user. For example, it simulates multiple scenarios and compares the effect of budget allocation in each scenario. This allows the user to select the optimal budget allocation. The optimization unit reports the budget allocation results to the user and makes adjustments as needed. For example, if the budget is insufficient for the elements the user desires, the optimization unit will adjust the budget for other elements to balance the overall plan. This allows the optimization unit to make the optimal budget allocation to realize the user's ideal wedding within their budget, supporting them in achieving a wedding they will be satisfied with.

[0034] The planning department creates a detailed wedding plan based on the budget optimized by the optimization department. For example, the planning department creates a schedule and allocates resources. They can also select venues and propose decorations. For instance, they create a detailed wedding schedule, allocate resources, and proceed with preparations for each element. They select venues, propose decorations, and provide users with a concrete plan. The planning department creates a detailed plan to plan and execute each element of the wedding. For example, they plan the overall schedule in detail, including the wedding start time, the timing of each event, guest movement, and food service. When allocating resources and proceeding with preparations for each element, they secure the necessary personnel and supplies to support smooth progress. The planning department selects venues and proposes decorations, providing users with a concrete plan. For example, based on the user's wishes, they select the most suitable venue and propose decoration designs and layouts. The planning department refines the plan details through dialogue with the user. For example, they confirm the user's specific image of desired decorations and performances and adjust the plan accordingly. The planning team prepares each element of the plan for its execution. For example, they plan the installation of decorations, the preparation of sound equipment, and the arrangement of meals, ensuring that each element of the wedding proceeds smoothly. This allows the planning team to create a concrete wedding plan based on an optimized budget, supporting users in realizing their dream wedding.

[0035] The analysis unit can analyze a couple's past event participation history and reflect this in the analysis of their values ​​and desires. For example, the analysis unit can analyze the style and theme of weddings the couple has attended in the past to analyze their preferences. The analysis unit can extract preferred elements based on the couple's evaluations of past events. The analysis unit can also analyze photos and videos of past events the couple has attended to identify their preferred designs and decorations. This allows for a more accurate analysis of the couple's preferences and tendencies by reflecting their past event participation history. 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 the couple's past event participation history data into a generating AI and have the generating AI perform the analysis of their preferences.

[0036] The analysis unit can perform analysis while considering the couple's cultural background and religious beliefs. For example, the analysis unit can suggest appropriate wedding styles and themes based on the couple's cultural background. The analysis unit can perform analysis considering appropriate rituals and customs based on the couple's religious beliefs. The analysis unit can also analyze the couple's values ​​and wishes by considering the couple's family traditions and customs. This makes it possible to perform analysis that is suitable for the couple by considering their cultural background and religious beliefs. 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 data on the couple's cultural background and religious beliefs into a generating AI and have the generating AI perform the analysis.

[0037] The analysis unit can analyze a couple's social media activity during analysis and reflect this in the analysis of their values ​​and desires. For example, the analysis unit can analyze a couple's social media posts to identify their preferred style and themes. The analysis unit can analyze a couple's values ​​and desires based on their social media interactions. The analysis unit can also analyze a couple's social media following and liking trends to extract elements of their preferences. This allows for a more accurate analysis of a couple's preferences and tendencies by reflecting their social media activity. Some or all of the above-described processes in the analysis unit may be performed using AI, for example, or without AI. For example, the analysis unit can input a couple's social media activity data into a generating AI and have the generating AI perform an analysis of their preference tendencies.

[0038] The analysis unit can perform analysis while considering the couple's geographical location information. For example, the analysis unit can suggest appropriate wedding styles and themes based on the couple's place of residence or origin. The analysis unit can perform analysis that takes into account local culture and customs based on the couple's geographical location information. The analysis unit can also suggest easily accessible venues and services based on the couple's geographical location information. This makes it possible to perform analysis that is appropriate to local culture and customs by considering geographical location 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 the couple's geographical location information data into a generating AI and have the generating AI perform the analysis.

[0039] The suggestion unit can propose the most suitable themes and styles by referring to the couple's past event participation history when making suggestions. For example, the suggestion unit can make optimal suggestions based on the style and theme of weddings the couple has attended in the past. The suggestion unit can also propose preferred themes and styles based on the couple's evaluations of events they have attended in the past. The suggestion unit can also propose the most suitable themes and styles by referring to photos and videos of events the couple has attended in the past. This makes it possible to make suggestions based on the couple's preferences and tendencies by referring to their past event participation history. Some or all of the above processing in the suggestion unit may be performed using AI, for example, or not using AI. For example, the suggestion unit can input the couple's past event participation history data into a generating AI and have the generating AI execute suggestions for the most suitable themes and styles.

[0040] The suggestion unit can make suggestions while considering the couple's cultural background and religious beliefs. For example, the suggestion unit can suggest appropriate themes and styles based on the couple's cultural background. The suggestion unit can make suggestions that take into account appropriate rituals and customs based on the couple's religious beliefs. The suggestion unit can also suggest themes and styles that take into account the couple's family traditions and customs. In this way, by considering cultural background and religious beliefs, it can suggest themes and styles that are suitable for the couple. Some or all of the above processing in the suggestion unit may be performed using AI, for example, or not using AI. For example, the suggestion unit can input data on the couple's cultural background and religious beliefs into a generating AI and have the generating AI execute the suggestions.

[0041] The suggestion unit can analyze a couple's social media activity and propose relevant themes and styles when making suggestions. For example, the suggestion unit can analyze a couple's social media posts to identify their preferred themes and styles. Based on the couple's social media interactions, the suggestion unit can propose relevant themes and styles. The suggestion unit can also analyze a couple's social media following and liking trends to propose preferred themes and styles. This allows for suggestions based on the couple's preferences and tendencies by reflecting their social media activity. Some or all of the above processing in the suggestion unit may be performed using AI, for example, or not. For example, the suggestion unit can input the couple's social media activity data into a generating AI and have the generating AI generate suggestions for relevant themes and styles.

[0042] The suggestion unit can make suggestions while considering the couple's geographical location. For example, the suggestion unit can suggest appropriate themes and styles based on the couple's place of residence or origin. The suggestion unit can make suggestions that take into account the local culture and customs based on the couple's geographical location. The suggestion unit can also suggest easily accessible venues and services based on the couple's geographical location. This makes it possible to make suggestions that are suitable for local culture and customs by considering geographical location. Some or all of the above processing in the suggestion unit may be performed using AI, for example, or not using AI. For example, the suggestion unit can input the couple's geographical location data into a generating AI and have the generating AI execute the suggestions.

[0043] The design department can design the optimal story by referring to the couple's past event participation history during the design process. For example, the design department can design the optimal story based on the story of a wedding the couple has attended in the past. The design department can design a preferred story based on the couple's evaluation of events they have attended in the past. The design department can also design the optimal story by referring to photos and videos of events the couple has attended in the past. This makes it possible to design a story based on the couple's preferences and tendencies by referring to their past event participation history. Some or all of the above processes in the design department may be performed using AI, for example, or not using AI. For example, the design department can input the couple's past event participation history data into a generating AI and have the generating AI design the optimal story.

[0044] The design department can design stories while considering the couple's cultural background and religious beliefs. For example, the design department can design an appropriate story based on the couple's cultural background. The design department can design a story that takes into account appropriate rituals and customs based on the couple's religious beliefs. The design department can also design a story that takes into account the couple's family traditions and customs. This makes it possible to design a story that is suitable for the couple by considering their cultural background and religious beliefs. Some or all of the above processes in the design department may be performed using AI, for example, or not using AI. For example, the design department can input data on the couple's cultural background and religious beliefs into a generating AI and have the generating AI design the story.

[0045] The design department can analyze a couple's social media activity during the design phase and design relevant stories. For example, the design department can analyze a couple's social media posts to identify their preferred stories. The design department can design relevant stories based on a couple's social media interactions. The design department can also analyze a couple's social media following and liking trends to design their preferred stories. This allows for story design based on a couple's preferences and trends by reflecting their social media activity. Some or all of the above processes in the design department may be performed using AI, for example, or not. For example, the design department can input a couple's social media activity data into a generating AI and have the generating AI design relevant stories.

[0046] The design department can design stories while considering the couple's geographical location. For example, the design department can design an appropriate story based on the couple's place of residence or origin. The design department can design stories that take into account local culture and customs based on the couple's geographical location. The design department can also design stories that take into account easily accessible venues and services based on the couple's geographical location. This makes it possible to design stories that are suitable for local culture and customs by considering geographical location. Some or all of the above processes in the design department may be performed using AI, for example, or not using AI. For example, the design department can input the couple's geographical location data into a generating AI and have the generating AI design the story.

[0047] The optimization unit can determine the optimal budget allocation by referring to the couple's past spending history during the optimization process. For example, the optimization unit can determine the priority of budget allocation based on the couple's past spending history. The optimization unit can also suggest ways to reduce unnecessary spending based on the couple's past spending history. The optimization unit can also analyze the couple's past spending history and suggest the most efficient budget allocation. This makes it possible to reduce unnecessary spending and allocate the budget efficiently by referring to past spending history. Some or all of the above processes in the optimization unit may be performed using AI, for example, or without AI. For example, the optimization unit can input the couple's past spending history data into a generating AI and have the generating AI execute the optimal budget allocation.

[0048] The optimization unit can allocate the budget considering the couple's cultural background and religious beliefs during the optimization process. For example, the optimization unit can propose an appropriate budget allocation based on the couple's cultural background. The optimization unit can allocate the budget to appropriate rituals and customs based on the couple's religious beliefs. The optimization unit can also allocate the budget considering the couple's family traditions and customs. This makes it possible to allocate a budget that is suitable for the couple by considering their cultural background and religious beliefs. Some or all of the above processing in the optimization unit may be performed using AI, for example, or without AI. For example, the optimization unit can input data on the couple's cultural background and religious beliefs into a generating AI and have the generating AI perform the budget allocation.

[0049] The optimization unit can analyze a couple's social media activity during optimization and make relevant budget allocations. For example, the optimization unit can analyze a couple's social media posts and identify their preferred budget allocations. The optimization unit can make relevant budget allocations based on the couple's social media interactions. The optimization unit can also analyze a couple's social media following and liking trends and suggest preferred budget allocations. This makes it possible to allocate budgets based on the couple's preferences and trends by reflecting their social media activity. Some or all of the above processing in the optimization unit may be performed using AI, for example, or without AI. For example, the optimization unit can input the couple's social media activity data into a generating AI and have the generating AI execute the relevant budget allocation.

[0050] The optimization unit can allocate the budget while considering the couple's geographical location information during optimization. For example, the optimization unit can propose an appropriate budget allocation based on the couple's place of residence or origin. The optimization unit can allocate the budget while considering the local culture and customs based on the couple's geographical location information. The optimization unit can also allocate the budget to easily accessible venues and services based on the couple's geographical location information. This makes it possible to allocate the budget in a way that is appropriate to the local culture and customs by considering geographical location information. Some or all of the above processing in the optimization unit may be performed using AI, for example, or without using AI. For example, the optimization unit can input the couple's geographical location information data into a generating AI and have the generating AI perform the budget allocation.

[0051] The creation unit can create the optimal plan by referring to the couple's past event participation history during the creation process. For example, the creation unit can create the optimal plan based on wedding plans the couple has attended in the past. The creation unit can create a preferred plan based on the couple's evaluations of events they have attended in the past. The creation unit can also create the optimal plan by referring to photos and videos of events the couple has attended in the past. This makes it possible to create a plan based on the couple's preferences and tendencies by referring to their past event participation history. Some or all of the above processes in the creation unit may be performed using AI, for example, or not using AI. For example, the creation unit can input the couple's past event participation history data into a generating AI and have the generating AI create the optimal plan.

[0052] The creation unit can create a plan that takes into account the couple's cultural background and religious beliefs. For example, the creation unit can create an appropriate plan based on the couple's cultural background. The creation unit can create a plan that takes into account appropriate rituals and customs based on the couple's religious beliefs. The creation unit can also create a plan that takes into account the couple's family traditions and customs. This makes it possible to create a plan that is suitable for the couple by taking into account their cultural background and religious beliefs. Some or all of the above processes in the creation unit may be performed using AI, for example, or not using AI. For example, the creation unit can input data on the couple's cultural background and religious beliefs into a generating AI and have the generating AI create the plan.

[0053] The creation unit can analyze a couple's social media activity and create relevant plans during the creation process. For example, the creation unit can analyze a couple's social media posts to identify their preferred plans. The creation unit can create relevant plans based on the couple's social media interactions. The creation unit can also analyze a couple's social media following and liking trends to create preferred plans. This makes it possible to create plans based on the couple's preferences and trends by reflecting their social media activity. Some or all of the above processes in the creation unit may be performed using AI, for example, or not. For example, the creation unit can input the couple's social media activity data into a generating AI and have the generating AI create relevant plans.

[0054] The creation unit can create plans while considering the couple's geographical location information. For example, the creation unit can create an appropriate plan based on the couple's place of residence or origin. Based on the couple's geographical location information, the creation unit can create plans that take into account local culture and customs. Based on the couple's geographical location information, the creation unit can also create plans that take into account easily accessible venues and services. This makes it possible to create plans that are suitable for local culture and customs by considering geographical location information. Some or all of the above processes in the creation unit may be performed using AI, for example, or not using AI. For example, the creation unit can input the couple's geographical location information data into a generation AI and have the generation AI create the plan.

[0055] The system according to the embodiment is not limited to the example described above, and various modifications are possible, for example, as follows.

[0056] The analysis unit can analyze a couple's past event participation history and reflect this in the analysis of their values ​​and desires. For example, it can analyze the style and theme of weddings the couple has attended in the past to understand their preferences. It can also extract preferred elements based on the couple's evaluations of past events. Furthermore, it can analyze photos and videos of past events the couple has attended to identify their preferred designs and decorations. In this way, by reflecting their past event participation history, the analysis of the couple's preferences and tendencies can be made more accurate.

[0057] The analysis unit can perform analyses while considering the couple's cultural background and religious beliefs. For example, it can suggest appropriate wedding styles and themes based on the couple's cultural background. It can also perform analyses that consider appropriate rituals and customs based on the couple's religious beliefs. It can even analyze the couple's values ​​and desires by considering the couple's family traditions and customs. This allows for analyses tailored to each couple by taking their cultural background and religious beliefs into account.

[0058] The analysis unit can analyze a couple's social media activity during the analysis process and incorporate this into the analysis of their values ​​and desires. For example, it can analyze a couple's social media posts to identify their preferred style and themes. Based on a couple's social media interactions, it can analyze their values ​​and desires. It can also analyze a couple's following and liking trends on social media to extract elements of their preferences. In this way, by reflecting their social media activity, the preferences and tendencies of a couple can be analyzed more accurately.

[0059] The proposal team can suggest the most suitable themes and styles by referring to the couple's past event participation history. For example, they can make optimal suggestions based on the style and theme of weddings the couple has attended in the past. They can also suggest preferred themes and styles based on the couple's evaluations of past events. Furthermore, they can suggest the most suitable themes and styles by referring to photos and videos of past events the couple has attended. This allows for suggestions based on the couple's preferences and tendencies by referring to their past event participation history.

[0060] The proposal team can consider the couple's cultural background and religious beliefs when making proposals. For example, they can suggest appropriate themes and styles based on the couple's cultural background. They can also suggest appropriate rituals and customs based on the couple's religious beliefs. They can even suggest themes and styles considering the couple's family traditions and customs. In this way, by considering cultural background and religious beliefs, they can suggest themes and styles that are suitable for the couple.

[0061] The proposal team can analyze a couple's social media activity and suggest relevant themes and styles when making proposals. For example, they can analyze a couple's social media posts to identify their preferred themes and styles. Based on the couple's social media interactions, they can suggest relevant themes and styles. They can also analyze a couple's social media following and liking trends to suggest preferred themes and styles. This allows for proposals that reflect the couple's preferences and tendencies by incorporating their social media activity.

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

[0063] Step 1: The analysis unit analyzes users' values ​​and desires. These values ​​and desires include expectations, preferences, and budgets regarding weddings. The analysis unit uses surveys, interviews, and data mining techniques to analyze users' values ​​and desires. For example, a survey is conducted to analyze values ​​and desires based on user responses. Interviews allow for a detailed understanding of values ​​and desires through dialogue with users. Data mining techniques can be used to extract users' values ​​and desires from large amounts of data. Step 2: The proposal team proposes wedding themes and styles based on the results analyzed by the analysis team. The proposal team makes suggestions based on theme and style selection criteria, and can use text, images, audio, etc., as the format of the suggestions. For example, it selects the most suitable theme and style based on the analysis results and proposes it to the user. Detailed explanations can be provided in text, themes and styles can be proposed visually using images, and suggestions can be made intuitively using audio. Step 3: The design department designs the wedding story based on the theme and style proposed by the proposal department. The design department designs considering the components of the story and concretizes the story through dialogue with the user. For example, they determine the main elements of the story based on the theme and style, and finalize the details of the story through dialogue with the user. They concretize the flow and presentation of the story and propose it to the user. Step 4: The optimization team allocates the wedding budget optimally based on the story designed by the design team. The optimization team allocates the budget considering cost-effectiveness and prioritizing it. For example, they prioritize budgeting for key elements of the story and propose ways to reduce costs in order to maximize cost-effectiveness. Step 5: The creation team creates a detailed wedding plan based on the budget optimized by the optimization team. The creation team creates a schedule and allocates resources. They select venues and propose decorations, providing the user with a concrete plan. For example, they create a detailed wedding schedule, allocate resources, and prepare each element. They select venues and propose decorations, providing the user with a concrete plan.

[0064] (Example of form 2) The wedding planning system according to an embodiment of the present invention is an innovative AI-powered wedding planning service designed to solve challenges in wedding preparations. This system begins with a user values ​​assessment process. The values ​​assessment involves the AI ​​analyzing the couple's values ​​and desires and proposing wedding themes and styles. Next, story design takes place. Based on the couple's values ​​assessment results, the AI ​​designs the wedding story. Following this, budget optimization is performed. The AI ​​proposes ways to optimally allocate the wedding budget and reduce costs. Finally, a concrete plan is created. The AI ​​creates a specific wedding plan based on the couple's wishes and budget. This service provides 24 / 7 support, allowing consultations anytime, anywhere. Furthermore, budgets and plans are updated in real time, and the service is multimodal, allowing consultations via text, images, and voice. This enables couples to efficiently prepare for their wedding and realize a truly unique wedding story. For example, when a user undergoes a values ​​assessment, the AI ​​analyzes the couple's values ​​and desires and proposes wedding themes and styles. Next, the AI ​​designs the wedding story based on the couple's values ​​assessment results. Furthermore, the AI ​​optimizes the wedding budget allocation and suggests ways to reduce costs. Finally, the AI ​​creates a specific wedding plan based on the couple's wishes and budget. This allows the couple to efficiently prepare for their wedding and realize a truly unique wedding story. In short, the wedding planning system can analyze the user's values ​​and wishes, suggest wedding themes and styles, design a story, optimize budget allocation, and create a specific plan.

[0065] The wedding planning system according to this embodiment comprises an analysis unit, a proposal unit, a design unit, an optimization unit, and a creation unit. The analysis unit analyzes the user's values ​​and desires. The user's values ​​and desires include, but are not limited to, expectations, preferences, and budget for the wedding. The analysis unit analyzes the user's values ​​and desires using, for example, a questionnaire survey. The analysis unit can also analyze the user's values ​​and desires through interviews. Furthermore, the analysis unit can analyze the user's values ​​and desires using data mining techniques. For example, the analysis unit conducts a questionnaire survey and analyzes values ​​and desires based on the user's responses. In interviews, detailed values ​​and desires are grasped through dialogue with the user. By using data mining techniques, the user's values ​​and desires can be extracted from a large amount of data. The proposal unit proposes wedding themes and styles based on the results analyzed by the analysis unit. The proposal unit makes proposals based on, for example, criteria for selecting themes and styles. The proposal unit can use text, images, audio, etc., as the format of its proposals. For example, the proposal department selects the most suitable theme and style based on the analysis results and proposes it to the user. The proposal can be presented in text format with detailed explanations. Images can be used to visually propose themes and styles. Audio can be used to make intuitive proposals to the user. The design department designs the wedding story based on the theme and style proposed by the proposal department. The design department considers the constituent elements of the story when designing. As part of the design process, the design department can concretize the story through dialogue with the user. For example, the design department determines the main elements of the story based on the theme and style. They refine the story details through dialogue with the user. The design department concretizes the flow and presentation of the story and proposes it to the user. The optimization department optimally allocates the wedding budget based on the story designed by the design department. For example, the optimization department allocates the budget considering cost-effectiveness. The optimization department can also allocate the budget based on priorities. For example, the optimization department prioritizes allocating the budget to important elements of the story.To maximize cost-effectiveness, methods for reducing costs are proposed. The budget is efficiently allocated based on priorities. The creation unit creates a specific wedding plan based on the budget optimized by the optimization unit. The creation unit, for example, creates a schedule and allocates resources. The creation unit can also select venues and propose decorations. For example, the creation unit creates a detailed wedding schedule. It allocates resources and proceeds with the preparation of each element. It selects venues and proposes decorations, providing the user with a specific plan. Thus, the wedding planning system according to this embodiment can analyze the user's values ​​and wishes, propose wedding themes and styles, design a story, optimally allocate the budget, and create a specific plan.

[0066] The analytics department analyzes users' values ​​and desires. These values ​​and desires include, but are not limited to, expectations, preferences, and budgets regarding weddings. The analytics department can analyze users' values ​​and desires using, for example, surveys. They can also analyze them through interviews. Furthermore, they can analyze users' values ​​and desires using data mining techniques. For example, the analytics department conducts surveys and analyzes values ​​and desires based on user responses. Interviews allow for a detailed understanding of values ​​and desires through dialogue with users. Data mining techniques allow for the extraction of user values ​​and desires from large amounts of data. When conducting surveys, the analytics department asks detailed questions to clarify specific wishes and expectations regarding weddings. For example, they ask about various elements such as wedding themes, colors, decorations, music, cuisine, and guest lists to understand users' preferences and priorities. Interviews allow for the elicitation of deeper values ​​and desires through dialogue with users. For example, the system collects detailed information such as what kind of wedding the user envisions, what kind of memories they want to create, and what kind of atmosphere they desire. By using data mining techniques, it is possible to analyze past wedding data and data from other users to predict the user's values ​​and desires. For instance, by analyzing past wedding data to see which users are interested in specific themes or styles, the system can make suggestions that match the user's wishes. This allows the analytics department to gain a detailed understanding of the user's values ​​and desires, which can then be used to help with wedding planning.

[0067] The proposal department proposes wedding themes and styles based on the results analyzed by the analysis department. The proposal department makes suggestions based on criteria for selecting themes and styles, for example. The proposal department can use text, images, and audio as forms of presentation. For example, the proposal department selects the most suitable theme and style based on the analysis results and proposes it to the user. Detailed explanations can be provided in text format. Images can be used to visually present themes and styles. Audio can be used to make suggestions intuitive to the user. The proposal department proposes multiple themes and styles based on the user's values ​​and desires, allowing the user to choose. For example, if the user desires a classic wedding, the proposal department will suggest classic themes and styles to help the user visualize them. The proposal department can collect user reactions and feedback and adjust the proposals accordingly. For example, it can check how the user felt about the proposed themes and styles and make alternative suggestions as needed. The proposal department utilizes visual elements and audio guidance to help users easily understand the proposals. For example, it can provide sample images of themes and styles to help users visualize them. Furthermore, voice guidance will be used to clearly explain the proposed content, enabling users to understand it intuitively. This will allow the proposal department to suggest the most suitable wedding theme and style based on the user's values ​​and wishes, and support the user in realizing their ideal wedding.

[0068] The design department designs the wedding story based on the themes and styles proposed by the proposal department. The design department designs by considering the constituent elements of the story, for example. As part of the design process, the design department can concretize the story through dialogue with the user. For example, the design department determines the main elements of the story based on the theme and style. They refine the details of the story through dialogue with the user. The design department concretizes the flow and presentation of the story and proposes it to the user. The design department designs each scene and event of the wedding in detail based on the user's wishes. For example, they design the flow from the beginning to the end of the wedding and concretize the presentation, decorations, music, lighting, etc. for each scene. When refining the details of the story through dialogue with the user, it is important to reflect the user's opinions and requests. The design department concretizes the image of the wedding that the user ideally wants and proposes the flow and presentation of the story. For example, they incorporate specific scenes and events that the user wants and design while considering the balance of the overall story. The design department can provide the user with a concrete image using storyboards and simulations. For example, storyboards are used to visually represent the flow and presentation of each scene in the wedding, allowing users to form a concrete image. Simulations are also used to verify the effects of wedding presentations and decorations, and these are then proposed to the user. This allows the design department to concretize the wedding story based on the user's wishes, supporting them in realizing their ideal wedding.

[0069] The optimization unit optimally allocates the wedding budget based on the story designed by the design unit. For example, the optimization unit allocates the budget considering cost-effectiveness. The optimization unit can allocate the budget based on priorities. For example, the optimization unit prioritizes allocating the budget to important elements of the story. To maximize cost-effectiveness, it proposes methods for reducing costs. It efficiently allocates the budget based on priorities. The optimization unit optimizes the budget allocation for each element of the wedding based on the user's budget. For example, it optimizes the budget allocation for the decorations and performances desired by the user to maximize cost-effectiveness. The optimization unit proposes methods for reducing costs and supports the user in realizing their ideal wedding within their budget. For example, it proposes methods for doing some of the decorations and performances as DIY, or selecting cost-effective vendors. The optimization unit performs budget allocation simulations and proposes the optimal budget allocation to the user. For example, it simulates multiple scenarios and compares the effect of budget allocation in each scenario. This allows the user to select the optimal budget allocation. The optimization unit reports the budget allocation results to the user and makes adjustments as needed. For example, if the budget is insufficient for the elements the user desires, the optimization unit will adjust the budget for other elements to balance the overall plan. This allows the optimization unit to make the optimal budget allocation to realize the user's ideal wedding within their budget, supporting them in achieving a wedding they will be satisfied with.

[0070] The planning department creates a detailed wedding plan based on the budget optimized by the optimization department. For example, the planning department creates a schedule and allocates resources. They can also select venues and propose decorations. For instance, they create a detailed wedding schedule, allocate resources, and proceed with preparations for each element. They select venues, propose decorations, and provide users with a concrete plan. The planning department creates a detailed plan to plan and execute each element of the wedding. For example, they plan the overall schedule in detail, including the wedding start time, the timing of each event, guest movement, and food service. When allocating resources and proceeding with preparations for each element, they secure the necessary personnel and supplies to support smooth progress. The planning department selects venues and proposes decorations, providing users with a concrete plan. For example, based on the user's wishes, they select the most suitable venue and propose decoration designs and layouts. The planning department refines the plan details through dialogue with the user. For example, they confirm the user's specific image of desired decorations and performances and adjust the plan accordingly. The planning team prepares each element of the plan for its execution. For example, they plan the installation of decorations, the preparation of sound equipment, and the arrangement of meals, ensuring that each element of the wedding proceeds smoothly. This allows the planning team to create a concrete wedding plan based on an optimized budget, supporting users in realizing their dream wedding.

[0071] The analysis unit can estimate the user's emotions and adjust the analysis method for values ​​and desires based on the estimated user emotions. For example, if the user is stressed, the analysis unit can analyze values ​​and desires using a concise and intuitive question format. If the user is relaxed, the analysis unit can analyze deeper values ​​and desires through detailed questions. If the user is excited, the analysis unit can also analyze values ​​and desires in an interactive format. This allows for more appropriate analysis by adjusting the analysis method for values ​​and desires according to the user's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. 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 processes in the analysis unit may be performed using AI, for example, or without AI. For example, the analysis unit can input user facial expression data into the generative AI and have the generative AI perform the estimation of the user's emotions.

[0072] The analysis unit can analyze a couple's past event participation history and reflect this in the analysis of their values ​​and desires. For example, the analysis unit can analyze the style and theme of weddings the couple has attended in the past to analyze their preferences. The analysis unit can extract preferred elements based on the couple's evaluations of past events. The analysis unit can also analyze photos and videos of past events the couple has attended to identify their preferred designs and decorations. This allows for a more accurate analysis of the couple's preferences and tendencies by reflecting their past event participation history. 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 the couple's past event participation history data into a generating AI and have the generating AI perform the analysis of their preferences.

[0073] The analysis unit can perform analysis while considering the couple's cultural background and religious beliefs. For example, the analysis unit can suggest appropriate wedding styles and themes based on the couple's cultural background. The analysis unit can perform analysis considering appropriate rituals and customs based on the couple's religious beliefs. The analysis unit can also analyze the couple's values ​​and wishes by considering the couple's family traditions and customs. This makes it possible to perform analysis that is suitable for the couple by considering their cultural background and religious beliefs. 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 data on the couple's cultural background and religious beliefs into a generating AI and have the generating AI perform the analysis.

[0074] The analysis unit can estimate the user's emotions and prioritize the analysis results based on the estimated emotions. For example, if the user is tense, the analysis unit will prioritize presenting important elements in the analysis results. If the user is relaxed, the analysis unit can provide detailed analysis results. If the user is in a hurry, the analysis unit can also quickly present important analysis results. In this way, by prioritizing the analysis results according to the user's emotions, important information can be provided preferentially. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. 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 user facial expression data into a generative AI and have the generative AI perform the estimation of the user's emotions.

[0075] The analysis unit can analyze a couple's social media activity during analysis and reflect this in the analysis of their values ​​and desires. For example, the analysis unit can analyze a couple's social media posts to identify their preferred style and themes. The analysis unit can analyze a couple's values ​​and desires based on their social media interactions. The analysis unit can also analyze a couple's social media following and liking trends to extract elements of their preferences. This allows for a more accurate analysis of a couple's preferences and tendencies by reflecting their social media activity. Some or all of the above-described processes in the analysis unit may be performed using AI, for example, or without AI. For example, the analysis unit can input a couple's social media activity data into a generating AI and have the generating AI perform an analysis of their preference tendencies.

[0076] The analysis unit can perform analysis while considering the couple's geographical location information. For example, the analysis unit can suggest appropriate wedding styles and themes based on the couple's place of residence or origin. The analysis unit can perform analysis that takes into account local culture and customs based on the couple's geographical location information. The analysis unit can also suggest easily accessible venues and services based on the couple's geographical location information. This makes it possible to perform analysis that is appropriate to local culture and customs by considering geographical location 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 the couple's geographical location information data into a generating AI and have the generating AI perform the analysis.

[0077] The suggestion unit can estimate the user's emotions and adjust how it suggests themes and styles based on those emotions. For example, if the user is stressed, the suggestion unit can suggest simple and intuitive themes and styles. If the user is relaxed, it can suggest more detailed themes and styles. If the user is excited, it can even suggest themes and styles in an interactive format. This allows for more appropriate themes and styles to be suggested by adjusting the suggestion method according to the user's emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or generative AI. 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 suggestion unit may be performed using AI or not. For example, the suggestion unit can input user facial expression data into a generative AI and have the generative AI perform the user's emotion estimation.

[0078] The suggestion unit can propose the most suitable themes and styles by referring to the couple's past event participation history when making suggestions. For example, the suggestion unit can make optimal suggestions based on the style and theme of weddings the couple has attended in the past. The suggestion unit can also propose preferred themes and styles based on the couple's evaluations of events they have attended in the past. The suggestion unit can also propose the most suitable themes and styles by referring to photos and videos of events the couple has attended in the past. This makes it possible to make suggestions based on the couple's preferences and tendencies by referring to their past event participation history. Some or all of the above processing in the suggestion unit may be performed using AI, for example, or not using AI. For example, the suggestion unit can input the couple's past event participation history data into a generating AI and have the generating AI execute suggestions for the most suitable themes and styles.

[0079] The suggestion unit can make suggestions while considering the couple's cultural background and religious beliefs. For example, the suggestion unit can suggest appropriate themes and styles based on the couple's cultural background. The suggestion unit can make suggestions that take into account appropriate rituals and customs based on the couple's religious beliefs. The suggestion unit can also suggest themes and styles that take into account the couple's family traditions and customs. In this way, by considering cultural background and religious beliefs, it can suggest themes and styles that are suitable for the couple. Some or all of the above processing in the suggestion unit may be performed using AI, for example, or not using AI. For example, the suggestion unit can input data on the couple's cultural background and religious beliefs into a generating AI and have the generating AI execute the suggestions.

[0080] The suggestion unit can estimate the user's emotions and prioritize suggestions based on those emotions. For example, if the user is tense, the suggestion unit will prioritize suggesting important themes and styles. If the user is relaxed, the suggestion unit can offer more detailed suggestions. If the user is in a hurry, the suggestion unit can also quickly offer important suggestions. This allows for the priority provision of important information by prioritizing suggestions according to the user's emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or generative AI. Generative AI may be, 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 user facial expression data into a generative AI and have the generative AI perform the user's emotion estimation.

[0081] The suggestion unit can analyze a couple's social media activity and propose relevant themes and styles when making suggestions. For example, the suggestion unit can analyze a couple's social media posts to identify their preferred themes and styles. Based on the couple's social media interactions, the suggestion unit can propose relevant themes and styles. The suggestion unit can also analyze a couple's social media following and liking trends to propose preferred themes and styles. This allows for suggestions based on the couple's preferences and tendencies by reflecting their social media activity. Some or all of the above processing in the suggestion unit may be performed using AI, for example, or not. For example, the suggestion unit can input the couple's social media activity data into a generating AI and have the generating AI generate suggestions for relevant themes and styles.

[0082] The suggestion unit can make suggestions while considering the couple's geographical location. For example, the suggestion unit can suggest appropriate themes and styles based on the couple's place of residence or origin. The suggestion unit can make suggestions that take into account the local culture and customs based on the couple's geographical location. The suggestion unit can also suggest easily accessible venues and services based on the couple's geographical location. This makes it possible to make suggestions that are suitable for local culture and customs by considering geographical location. Some or all of the above processing in the suggestion unit may be performed using AI, for example, or not using AI. For example, the suggestion unit can input the couple's geographical location data into a generating AI and have the generating AI execute the suggestions.

[0083] The design department can estimate the user's emotions and adjust the story design method based on the estimated user emotions. For example, if the user is stressed, the design department can design a simple and intuitive story. If the user is relaxed, the design department can design a detailed story. If the user is excited, the design department can also design a story in an interactive format. This allows for more appropriate story design by adjusting the story design method according to the user's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. 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 design department may be performed using AI or not using AI. For example, the design department can input user facial expression data into a generative AI and have the generative AI perform the estimation of the user's emotions.

[0084] The design department can design the optimal story by referring to the couple's past event participation history during the design process. For example, the design department can design the optimal story based on the story of a wedding the couple has attended in the past. The design department can design a preferred story based on the couple's evaluation of events they have attended in the past. The design department can also design the optimal story by referring to photos and videos of events the couple has attended in the past. This makes it possible to design a story based on the couple's preferences and tendencies by referring to their past event participation history. Some or all of the above processes in the design department may be performed using AI, for example, or not using AI. For example, the design department can input the couple's past event participation history data into a generating AI and have the generating AI design the optimal story.

[0085] The design department can design stories while considering the couple's cultural background and religious beliefs. For example, the design department can design an appropriate story based on the couple's cultural background. The design department can design a story that takes into account appropriate rituals and customs based on the couple's religious beliefs. The design department can also design a story that takes into account the couple's family traditions and customs. This makes it possible to design a story that is suitable for the couple by considering their cultural background and religious beliefs. Some or all of the above processes in the design department may be performed using AI, for example, or not using AI. For example, the design department can input data on the couple's cultural background and religious beliefs into a generating AI and have the generating AI design the story.

[0086] The design department can estimate the user's emotions and determine the priority of story design based on the estimated user emotions. For example, if the user is tense, the design department can prioritize designing important story elements. If the user is relaxed, the design department can design a detailed story. If the user is in a hurry, the design department can also quickly design important story elements. This allows for the priority of providing important information by determining the priority of story design according to the user's emotions. Emotion estimation is achieved using emotion estimation functions, such as emotion engines or generative AI. Generative AI includes, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the design department may be performed using AI or not using AI. For example, the design department can input user facial expression data into a generative AI and have the generative AI perform the estimation of the user's emotions.

[0087] The design department can analyze a couple's social media activity during the design phase and design relevant stories. For example, the design department can analyze a couple's social media posts to identify their preferred stories. The design department can design relevant stories based on a couple's social media interactions. The design department can also analyze a couple's social media following and liking trends to design their preferred stories. This allows for story design based on a couple's preferences and trends by reflecting their social media activity. Some or all of the above processes in the design department may be performed using AI, for example, or not. For example, the design department can input a couple's social media activity data into a generating AI and have the generating AI design relevant stories.

[0088] The design department can design stories while considering the couple's geographical location. For example, the design department can design an appropriate story based on the couple's place of residence or origin. The design department can design stories that take into account local culture and customs based on the couple's geographical location. The design department can also design stories that take into account easily accessible venues and services based on the couple's geographical location. This makes it possible to design stories that are suitable for local culture and customs by considering geographical location. Some or all of the above processes in the design department may be performed using AI, for example, or not using AI. For example, the design department can input the couple's geographical location data into a generating AI and have the generating AI design the story.

[0089] The optimization unit can estimate the user's emotions and adjust the budget allocation method based on the estimated emotions. For example, if the user is stressed, the optimization unit can suggest a simple and intuitive budget allocation method. If the user is relaxed, the optimization unit can suggest a detailed budget allocation method. If the user is excited, the optimization unit can also suggest a budget allocation method in an interactive format. This allows for more appropriate budget allocation by adjusting the budget allocation method according to the user's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. 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 optimization unit may be performed using AI, or not using AI. For example, the optimization unit can input user facial expression data into the generative AI and have the generative AI perform the user's emotion estimation.

[0090] The optimization unit can determine the optimal budget allocation by referring to the couple's past spending history during the optimization process. For example, the optimization unit can determine the priority of budget allocation based on the couple's past spending history. The optimization unit can also suggest ways to reduce unnecessary spending based on the couple's past spending history. The optimization unit can also analyze the couple's past spending history and suggest the most efficient budget allocation. This makes it possible to reduce unnecessary spending and allocate the budget efficiently by referring to past spending history. Some or all of the above processes in the optimization unit may be performed using AI, for example, or without AI. For example, the optimization unit can input the couple's past spending history data into a generating AI and have the generating AI execute the optimal budget allocation.

[0091] The optimization unit can allocate the budget considering the couple's cultural background and religious beliefs during the optimization process. For example, the optimization unit can propose an appropriate budget allocation based on the couple's cultural background. The optimization unit can allocate the budget to appropriate rituals and customs based on the couple's religious beliefs. The optimization unit can also allocate the budget considering the couple's family traditions and customs. This makes it possible to allocate a budget that is suitable for the couple by considering their cultural background and religious beliefs. Some or all of the above processing in the optimization unit may be performed using AI, for example, or without AI. For example, the optimization unit can input data on the couple's cultural background and religious beliefs into a generating AI and have the generating AI perform the budget allocation.

[0092] The optimization unit can estimate the user's emotions and determine the priority of budget allocation based on the estimated user emotions. For example, if the user is tense, the optimization unit will prioritize allocating important budget items. If the user is relaxed, the optimization unit can perform detailed budget allocation. If the user is in a hurry, the optimization unit can also quickly allocate important budget items. In this way, by determining the priority of budget allocation according to the user's emotions, important budget items can be allocated preferentially. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. 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 optimization unit may be performed using AI, for example, or not using AI. For example, the optimization unit can input user facial expression data into the generative AI and have the generative AI perform the estimation of the user's emotions.

[0093] The optimization unit can analyze a couple's social media activity during optimization and make relevant budget allocations. For example, the optimization unit can analyze a couple's social media posts and identify their preferred budget allocations. The optimization unit can make relevant budget allocations based on the couple's social media interactions. The optimization unit can also analyze a couple's social media following and liking trends and suggest preferred budget allocations. This makes it possible to allocate budgets based on the couple's preferences and trends by reflecting their social media activity. Some or all of the above processing in the optimization unit may be performed using AI, for example, or without AI. For example, the optimization unit can input the couple's social media activity data into a generating AI and have the generating AI execute the relevant budget allocation.

[0094] The optimization unit can allocate the budget while considering the couple's geographical location information during optimization. For example, the optimization unit can propose an appropriate budget allocation based on the couple's place of residence or origin. The optimization unit can allocate the budget while considering the local culture and customs based on the couple's geographical location information. The optimization unit can also allocate the budget to easily accessible venues and services based on the couple's geographical location information. This makes it possible to allocate the budget in a way that is appropriate to the local culture and customs by considering geographical location information. Some or all of the above processing in the optimization unit may be performed using AI, for example, or without using AI. For example, the optimization unit can input the couple's geographical location information data into a generating AI and have the generating AI perform the budget allocation.

[0095] The planning unit can estimate the user's emotions and adjust the plan creation method based on the estimated emotions. For example, if the user is stressed, the planning unit can suggest a simple and intuitive plan creation method. If the user is relaxed, the planning unit can suggest a detailed plan creation method. If the user is excited, the planning unit can also suggest a plan creation method in an interactive format. This allows for more appropriate plan creation by adjusting the plan creation method according to the user's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. 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 planning unit may be performed using AI or not using AI. For example, the planning unit can input user facial expression data into the generative AI and have the generative AI perform the user's emotion estimation.

[0096] The creation unit can create the optimal plan by referring to the couple's past event participation history during the creation process. For example, the creation unit can create the optimal plan based on wedding plans the couple has attended in the past. The creation unit can create a preferred plan based on the couple's evaluations of events they have attended in the past. The creation unit can also create the optimal plan by referring to photos and videos of events the couple has attended in the past. This makes it possible to create a plan based on the couple's preferences and tendencies by referring to their past event participation history. Some or all of the above processes in the creation unit may be performed using AI, for example, or not using AI. For example, the creation unit can input the couple's past event participation history data into a generating AI and have the generating AI create the optimal plan.

[0097] The creation unit can create a plan that takes into account the couple's cultural background and religious beliefs. For example, the creation unit can create an appropriate plan based on the couple's cultural background. The creation unit can create a plan that takes into account appropriate rituals and customs based on the couple's religious beliefs. The creation unit can also create a plan that takes into account the couple's family traditions and customs. This makes it possible to create a plan that is suitable for the couple by taking into account their cultural background and religious beliefs. Some or all of the above processes in the creation unit may be performed using AI, for example, or not using AI. For example, the creation unit can input data on the couple's cultural background and religious beliefs into a generating AI and have the generating AI create the plan.

[0098] The creation unit can estimate the user's emotions and determine the priority of plan creation based on the estimated user emotions. For example, if the user is nervous, the creation unit will prioritize creating important plan elements. If the user is relaxed, the creation unit can create a detailed plan. If the user is in a hurry, the creation unit can also quickly create important plan elements. This allows for the prioritization of important plan elements by determining the priority of plan creation according to the user's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. 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 creation unit may be performed using AI or not using AI. For example, the creation unit can input user facial expression data into the generative AI and have the generative AI perform the estimation of the user's emotions.

[0099] The creation unit can analyze a couple's social media activity and create relevant plans during the creation process. For example, the creation unit can analyze a couple's social media posts to identify their preferred plans. The creation unit can create relevant plans based on the couple's social media interactions. The creation unit can also analyze a couple's social media following and liking trends to create preferred plans. This makes it possible to create plans based on the couple's preferences and trends by reflecting their social media activity. Some or all of the above processes in the creation unit may be performed using AI, for example, or not. For example, the creation unit can input the couple's social media activity data into a generating AI and have the generating AI create relevant plans.

[0100] The creation unit can create plans while considering the couple's geographical location information. For example, the creation unit can create an appropriate plan based on the couple's place of residence or origin. Based on the couple's geographical location information, the creation unit can create plans that take into account local culture and customs. Based on the couple's geographical location information, the creation unit can also create plans that take into account easily accessible venues and services. This makes it possible to create plans that are suitable for local culture and customs by considering geographical location information. Some or all of the above processes in the creation unit may be performed using AI, for example, or not using AI. For example, the creation unit can input the couple's geographical location information data into a generation AI and have the generation AI create the plan.

[0101] The system according to the embodiment is not limited to the example described above, and various modifications are possible, for example, as follows.

[0102] The analysis unit can estimate the user's emotions and adjust the analysis method for values ​​and desires based on the estimated emotions. For example, if the user is stressed, it can analyze values ​​and desires using a concise and intuitive question format. If the user is relaxed, it can analyze deeper values ​​and desires through detailed questions. If the user is excited, it can also analyze values ​​and desires in an interactive format. By adjusting the analysis method for values ​​and desires according to the user's emotions, a more appropriate analysis becomes possible.

[0103] The analysis unit can analyze a couple's past event participation history and reflect this in the analysis of their values ​​and desires. For example, it can analyze the style and theme of weddings the couple has attended in the past to understand their preferences. It can also extract preferred elements based on the couple's evaluations of past events. Furthermore, it can analyze photos and videos of past events the couple has attended to identify their preferred designs and decorations. In this way, by reflecting their past event participation history, the analysis of the couple's preferences and tendencies can be made more accurate.

[0104] The analysis unit can perform analyses while considering the couple's cultural background and religious beliefs. For example, it can suggest appropriate wedding styles and themes based on the couple's cultural background. It can also perform analyses that consider appropriate rituals and customs based on the couple's religious beliefs. It can even analyze the couple's values ​​and desires by considering the couple's family traditions and customs. This allows for analyses tailored to each couple by taking their cultural background and religious beliefs into account.

[0105] The analysis unit can estimate the user's emotions and prioritize the analysis results based on those emotions. For example, if the user is nervous, it can prioritize presenting important elements in the analysis results. If the user is relaxed, it can provide detailed analysis results. If the user is in a hurry, it can quickly present important analysis results. In this way, by prioritizing the analysis results according to the user's emotions, important information can be provided preferentially.

[0106] The analysis unit can analyze a couple's social media activity during the analysis process and incorporate this into the analysis of their values ​​and desires. For example, it can analyze a couple's social media posts to identify their preferred style and themes. Based on a couple's social media interactions, it can analyze their values ​​and desires. It can also analyze a couple's following and liking trends on social media to extract elements of their preferences. In this way, by reflecting their social media activity, the preferences and tendencies of a couple can be analyzed more accurately.

[0107] The suggestion function can estimate the user's emotions and adjust how themes and styles are suggested based on those emotions. For example, if the user is stressed, it can suggest simple and intuitive themes and styles. If the user is relaxed, it can suggest more detailed themes and styles. If the user is excited, it can even suggest themes and styles in an interactive format. By adjusting the suggestion method according to the user's emotions, it can suggest more appropriate themes and styles.

[0108] The proposal team can suggest the most suitable themes and styles by referring to the couple's past event participation history. For example, they can make optimal suggestions based on the style and theme of weddings the couple has attended in the past. They can also suggest preferred themes and styles based on the couple's evaluations of past events. Furthermore, they can suggest the most suitable themes and styles by referring to photos and videos of past events the couple has attended. This allows for suggestions based on the couple's preferences and tendencies by referring to their past event participation history.

[0109] The proposal team can consider the couple's cultural background and religious beliefs when making proposals. For example, they can suggest appropriate themes and styles based on the couple's cultural background. They can also suggest appropriate rituals and customs based on the couple's religious beliefs. They can even suggest themes and styles considering the couple's family traditions and customs. In this way, by considering cultural background and religious beliefs, they can suggest themes and styles that are suitable for the couple.

[0110] The suggestion function can estimate the user's emotions and prioritize suggestions based on those emotions. For example, if the user is stressed, it will prioritize suggesting important themes and styles. If the user is relaxed, it can offer more detailed suggestions. If the user is in a hurry, it can quickly offer important suggestions. This allows for the priority of important information to be delivered by prioritizing suggestions according to the user's emotions.

[0111] The proposal team can analyze a couple's social media activity and suggest relevant themes and styles when making proposals. For example, they can analyze a couple's social media posts to identify their preferred themes and styles. Based on the couple's social media interactions, they can suggest relevant themes and styles. They can also analyze a couple's social media following and liking trends to suggest preferred themes and styles. This allows for proposals that reflect the couple's preferences and tendencies by incorporating their social media activity.

[0112] The following briefly describes the processing flow for example form 2.

[0113] Step 1: The analysis unit analyzes users' values ​​and desires. These values ​​and desires include expectations, preferences, and budgets regarding weddings. The analysis unit uses surveys, interviews, and data mining techniques to analyze users' values ​​and desires. For example, a survey is conducted to analyze values ​​and desires based on user responses. Interviews allow for a detailed understanding of values ​​and desires through dialogue with users. Data mining techniques can be used to extract users' values ​​and desires from large amounts of data. Step 2: The proposal team proposes wedding themes and styles based on the results analyzed by the analysis team. The proposal team makes suggestions based on theme and style selection criteria, and can use text, images, audio, etc., as the format of the suggestions. For example, it selects the most suitable theme and style based on the analysis results and proposes it to the user. Detailed explanations can be provided in text, themes and styles can be proposed visually using images, and suggestions can be made intuitively using audio. Step 3: The design department designs the wedding story based on the theme and style proposed by the proposal department. The design department designs considering the components of the story and concretizes the story through dialogue with the user. For example, they determine the main elements of the story based on the theme and style, and finalize the details of the story through dialogue with the user. They concretize the flow and presentation of the story and propose it to the user. Step 4: The optimization team allocates the wedding budget optimally based on the story designed by the design team. The optimization team allocates the budget considering cost-effectiveness and prioritizing it. For example, they prioritize budgeting for key elements of the story and propose ways to reduce costs in order to maximize cost-effectiveness. Step 5: The creation team creates a detailed wedding plan based on the budget optimized by the optimization team. The creation team creates a schedule and allocates resources. They select venues and propose decorations, providing the user with a concrete plan. For example, they create a detailed wedding schedule, allocate resources, and prepare each element. They select venues and propose decorations, providing the user with a concrete plan.

[0114] 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.

[0115] 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.

[0116] 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.

[0117] Each of the multiple elements described above, including the analysis unit, proposal unit, design unit, optimization unit, and creation unit, is implemented in at least one of the smart device 14 and the data processing unit 12. For example, the analysis unit is implemented by the control unit 46A of the smart device 14 and analyzes the user's values ​​and desires. The proposal unit is implemented by the specific processing unit 290 of the data processing unit 12 and proposes a wedding theme and style based on the analysis results. The design unit is implemented by the control unit 46A of the smart device 14 and designs a wedding story based on the proposed theme and style. The optimization unit is implemented by the specific processing unit 290 of the data processing unit 12 and optimally allocates the budget based on the designed story. The creation unit is implemented by the control unit 46A of the smart device 14 and creates a specific wedding plan based on the optimized budget. The correspondence between each unit and the device or control unit is not limited to the example described above and can be changed in various ways.

[0118] [Second Embodiment] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0119] 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.

[0120] 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.

[0121] 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.

[0122] 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.

[0123] 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).

[0124] 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.

[0125] 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.

[0126] 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.

[0127] 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.

[0128] 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.

[0129] 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.).

[0130] 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.

[0131] 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.

[0132] 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.

[0133] Each of the multiple elements described above, including the analysis unit, proposal unit, design unit, optimization unit, and creation unit, is implemented in at least one of the smart glasses 214 and the data processing unit 12. For example, the analysis unit is implemented by the control unit 46A of the smart glasses 214 and analyzes the user's values ​​and desires. The proposal unit is implemented by the specific processing unit 290 of the data processing unit 12 and proposes a wedding theme and style based on the analysis results. The design unit is implemented by the control unit 46A of the smart glasses 214 and designs a wedding story based on the proposed theme and style. The optimization unit is implemented by the specific processing unit 290 of the data processing unit 12 and optimally allocates the budget based on the designed story. The creation unit is implemented by the control unit 46A of the smart glasses 214 and creates a specific wedding plan based on the optimized budget. The correspondence between each unit and the device or control unit is not limited to the example described above and can be changed in various ways.

[0134] [Third Embodiment] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0135] 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.

[0136] 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.

[0137] 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.

[0138] 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.

[0139] 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).

[0140] 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.

[0141] 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.

[0142] 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.

[0143] 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.

[0144] 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.

[0145] 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.).

[0146] 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.

[0147] 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.

[0148] 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.

[0149] Each of the multiple elements described above, including the analysis unit, proposal unit, design unit, optimization unit, and creation unit, is implemented in at least one of the headset terminal 314 and the data processing unit 12. For example, the analysis unit is implemented by the control unit 46A of the headset terminal 314 and analyzes the user's values ​​and wishes. The proposal unit is implemented by the specific processing unit 290 of the data processing unit 12 and proposes a wedding theme and style based on the analysis results. The design unit is implemented by the control unit 46A of the headset terminal 314 and designs a wedding story based on the proposed theme and style. The optimization unit is implemented by the specific processing unit 290 of the data processing unit 12 and optimally allocates the budget based on the designed story. The creation unit is implemented by the control unit 46A of the headset terminal 314 and creates a specific wedding plan based on the optimized budget. The correspondence between each unit and the device or control unit is not limited to the example described above and can be changed in various ways.

[0150] [Fourth Embodiment] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0151] 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.

[0152] 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.

[0153] 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.

[0154] 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.

[0155] 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).

[0156] 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.

[0157] 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.

[0158] 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.

[0159] 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.

[0160] 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.

[0161] 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.

[0162] 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.).

[0163] 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.

[0164] 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.

[0165] 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.

[0166] Each of the multiple elements described above, including the analysis unit, proposal unit, design unit, optimization unit, and creation unit, is implemented by, for example, at least one of the robot 414 and the data processing unit 12. For example, the analysis unit is implemented by the control unit 46A of the robot 414 and analyzes the user's values ​​and wishes. The proposal unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and proposes a wedding theme and style based on the analysis results. The design unit is implemented by, for example, the control unit 46A of the robot 414 and designs a wedding story based on the proposed theme and style. The optimization unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12 and optimally allocates the budget based on the designed story. The creation unit is implemented by, for example, the control unit 46A of the robot 414 and creates a specific wedding plan based on the optimized budget. The correspondence between each unit and the device or control unit is not limited to the example described above and can be changed in various ways.

[0167] 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.

[0168] 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.

[0169] 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.

[0170] 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.

[0171] 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.

[0172] 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."

[0173] 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.

[0174] 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.

[0175] 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.

[0176] 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.

[0177] 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.

[0178] 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.

[0179] 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.

[0180] 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.

[0181] 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.

[0182] 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.

[0183] 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.

[0184] 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.

[0185] (Note 1) An analysis unit that analyzes the user's values ​​and desires, Based on the results of the analysis performed by the aforementioned analysis unit, a proposal unit proposes wedding themes and styles. The design department designs the story of the wedding based on the themes and styles proposed by the aforementioned proposal department, An optimization unit that optimally allocates the wedding budget based on the story designed by the aforementioned design unit, The system includes a creation unit that creates a specific wedding plan based on the budget optimized by the optimization unit. A system characterized by the following features. (Note 2) The aforementioned analysis unit, It estimates the user's emotions and adjusts the analysis method for values ​​and desires based on the estimated user emotions. The system described in Appendix 1, characterized by the features described herein. (Note 3) The aforementioned analysis unit, Analyze the couple's past event participation history and use it to analyze their values ​​and desires. The system described in Appendix 1, characterized by the features described herein. (Note 4) The aforementioned analysis unit, During the analysis, the cultural background and religious beliefs of the couples will be taken into consideration. The system described in Appendix 1, characterized by the features described herein. (Note 5) The aforementioned analysis unit, It estimates the user's emotions and prioritizes the analysis results based on the estimated user emotions. The system described in Appendix 1, characterized by the features described herein. (Note 6) The aforementioned analysis unit, During the analysis, the couple's social media activity is analyzed and reflected in the analysis of their values ​​and desires. The system described in Appendix 1, characterized by the features described herein. (Note 7) The aforementioned analysis unit, During the analysis, the couple's geographical location information will be taken into consideration. The system described in Appendix 1, characterized by the features described herein. (Note 8) The aforementioned proposal section is, It estimates the user's emotions and adjusts how themes and styles are suggested based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 9) The aforementioned proposal section is, When making a proposal, we refer to the couple's past event participation history to suggest the most suitable theme and style. The system described in Appendix 1, characterized by the features described herein. (Note 10) The aforementioned proposal section is, When making a proposal, take into consideration the couple's cultural background and religious beliefs. The system described in Appendix 1, characterized by the features described herein. (Note 11) 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 1, characterized by the features described herein. (Note 12) The aforementioned proposal section is, When making a proposal, we analyze the couple's social media activity and suggest relevant themes and styles. The system described in Appendix 1, characterized by the features described herein. (Note 13) The aforementioned proposal section is, When making a proposal, we will take into account the couple's geographical location. The system described in Appendix 1, characterized by the features described herein. (Note 14) The aforementioned design department, We estimate user emotions and adjust the story design method based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 15) The aforementioned design department, During the design phase, we refer to the couple's past event participation history to create the optimal storyline. The system described in Appendix 1, characterized by the features described herein. (Note 16) The aforementioned design department, When designing the story, we take into account the couple's cultural background and religious beliefs. The system described in Appendix 1, characterized by the features described herein. (Note 17) The aforementioned design department, We estimate user emotions and prioritize story design based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 18) The aforementioned design department, During the design phase, we analyze the couple's social media activity and design relevant stories. The system described in Appendix 1, characterized by the features described herein. (Note 19) The aforementioned design department, When designing, the story is created taking into account the couple's geographical location. The system described in Appendix 1, characterized by the features described herein. (Note 20) The optimization unit, It estimates user sentiment and adjusts budget allocation based on the estimated user sentiment. The system described in Appendix 1, characterized by the features described herein. (Note 21) The optimization unit, During optimization, the couple's past spending history is referenced to determine the optimal budget allocation. The system described in Appendix 1, characterized by the features described herein. (Note 22) The optimization unit, During optimization, budget allocation should take into account the couple's cultural background and religious beliefs. The system described in Appendix 1, characterized by the features described herein. (Note 23) The optimization unit, It estimates user sentiment and determines budget allocation priorities based on the estimated user sentiment. The system described in Appendix 1, characterized by the features described herein. (Note 24) The optimization unit, During optimization, we analyze the couple's social media activity and allocate the relevant budget accordingly. The system described in Appendix 1, characterized by the features described herein. (Note 25) The optimization unit, During optimization, budget allocation is made considering the couple's geographical location. The system described in Appendix 1, characterized by the features described herein. (Note 26) The aforementioned creation unit, We estimate user emotions and adjust the planning process based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 27) The aforementioned creation unit, When creating a plan, the couple's past event participation history is referenced to create the most suitable plan. The system described in Appendix 1, characterized by the features described herein. (Note 28) The aforementioned creation unit, When creating the plan, take into account the couple's cultural background and religious beliefs. The system described in Appendix 1, characterized by the features described herein. (Note 29) The aforementioned creation unit, The system estimates user sentiment and prioritizes plan creation based on the estimated user sentiment. The system described in Appendix 1, characterized by the features described herein. (Note 30) The aforementioned creation unit, When creating the plan, analyze the couple's social media activity and develop a relevant plan. The system described in Appendix 1, characterized by the features described herein. (Note 31) The aforementioned creation unit, When creating the plan, take the couple's geographical location into consideration. The system described in Appendix 1, characterized by the features described herein. [Explanation of Symbols]

[0186] 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 analysis unit that analyzes the user's values ​​and desires, Based on the results of the analysis performed by the aforementioned analysis unit, a proposal unit proposes wedding themes and styles. The design department designs the story of the wedding based on the themes and styles proposed by the aforementioned proposal department, An optimization unit that optimally allocates the wedding budget based on the story designed by the aforementioned design unit, The system includes a creation unit that creates a specific wedding plan based on the budget optimized by the optimization unit. A system characterized by the following features.

2. The aforementioned analysis unit, It estimates the user's emotions and adjusts the analysis method for values ​​and desires based on the estimated user emotions. The system according to feature 1.

3. The aforementioned analysis unit, Analyze the couple's past event participation history and use it to analyze their values ​​and desires. The system according to feature 1.

4. The aforementioned analysis unit, During the analysis, the cultural background and religious beliefs of the couples will be taken into consideration. The system according to feature 1.

5. The aforementioned analysis unit, It estimates the user's emotions and prioritizes the analysis results based on the estimated user emotions. The system according to feature 1.

6. The aforementioned analysis unit, During the analysis, the couple's social media activity is analyzed and reflected in the analysis of their values ​​and desires. The system according to feature 1.

7. The aforementioned analysis unit, During the analysis, the couple's geographical location information will be taken into consideration. The system according to feature 1.

8. The aforementioned proposal section is, It estimates the user's emotions and adjusts how themes and styles are suggested based on those estimated emotions. The system according to feature 1.

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