system

Abstract

The system according to this embodiment aims to customize wedding plans based on the couple's wishes, vision, and budget, and to manage the overall progress of the wedding. [Solution] The system according to the embodiment comprises a reception unit, a proposal unit, a schedule generation unit, an option management unit, and a progress management unit. The reception unit receives input from the couple regarding their wishes, ideas, and budget. The proposal unit analyzes the information received by the reception unit and proposes a customized wedding plan. The schedule generation unit automatically generates a detailed schedule based on the plan proposed by the proposal unit. The option management unit manages options and ideas based on the schedule generated by the schedule generation unit. The progress management unit manages the overall progress based on the options and ideas managed by the option management unit.

Description

Technical Field

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

Background Art

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

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the conventional technology, there is a problem that it is difficult to customize a wedding plan based on the wishes, images, and budgets of a couple and manage the overall progress.

[0005] The system according to the embodiment aims to customize a wedding plan based on the wishes, images, and budgets of a couple and manage the overall progress.

Means for Solving the Problems

[0006] The system according to this embodiment comprises a reception unit, a proposal unit, a schedule generation unit, an option management unit, and a progress management unit. The reception unit receives input from the couple regarding their wishes, ideas, and budget. The proposal unit analyzes the information received by the reception unit and proposes a customized wedding plan. The schedule generation unit automatically generates a detailed schedule based on the plan proposed by the proposal unit. The option management unit manages options and ideas based on the schedule generated by the schedule generation unit. The progress management unit manages the overall progress based on the options and ideas managed by the option management unit. [Effects of the Invention]

[0007] The system according to this embodiment can customize wedding plans based on the couple's wishes, vision, and budget, and manage the overall progress. [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 tagged storage is one or more non-volatile storage devices that store various programs, various parameters, and the like. Examples of non-volatile storage devices include flash memories (SSDs (Solid State Drives)), magnetic disks (e.g., hard disks), or magnetic tapes.

[0014] In the following embodiments, the tagged 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 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. Also, the reception device 38, the output device 40, and the camera 42 are connected to the bus 52.

[0020] The reception device 38 includes a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by contact of an indicator (e.g., a pen or a finger, etc.) by detecting the contact of the indicator. The microphone 38B receives user input by voice by detecting the voice of the user. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, a specific processing unit 290 (see FIG. 2) acquires 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 support system according to an embodiment of the present invention is a system that supports the scheduling and necessary arrangements for a wedding based on the couple's wishes, image, and budget. This wedding support system takes the couple's wishes, image, and budget as input, and an AI agent analyzes this information to propose a customized wedding plan. Next, it automatically generates a detailed schedule based on the proposed plan. This schedule includes the progress of each step and the necessary arrangements. Furthermore, the AI ​​agent provides the couple with options and ideas. It provides concrete visuals, such as showing images and samples, to support the couple in making decisions. The AI ​​agent manages the overall progress and monitors the progress of each step in real time. This allows the couple to proceed with wedding preparations smoothly. It also supports budget management, enabling the couple to achieve the optimal wedding within their budget. This wedding support system targets couples planning to get married, wedding venues, and wedding planners, and supports wedding preparations. For example, by inputting the couple's desired wedding theme, decorations, and type of cuisine, the AI ​​agent proposes the optimal plan based on that information. Furthermore, the AI ​​agent can also propose cost-effective options according to the couple's budget. For example, if the couple desires a lavish wedding, the AI ​​agent will propose high-end venues, decorations, and cuisine. On the other hand, if a couple desires a simple wedding, the AI ​​agent will propose a cost-effective plan. Furthermore, the AI ​​agent manages the wedding proceedings in real time according to the couple's wishes, supporting a smooth flow. For example, if an unexpected problem arises on the wedding day, the AI ​​agent will respond quickly and propose the best solution. This allows the couple to approach their wedding with peace of mind. In this way, the wedding support system can assist with the wedding schedule and necessary arrangements based on the couple's wishes, vision, and budget.

[0029] The wedding support system according to this embodiment comprises a reception unit, a proposal unit, a schedule generation unit, an option management unit, and a progress management unit. The reception unit receives input from the couple regarding their wishes, ideas, and budget. The couple's wishes and ideas include, but are not limited to, the wedding theme, decorations, and type of cuisine. The reception unit provides an interface for the couple to input their desired wedding theme, decorations, and type of cuisine. The proposal unit analyzes the information received by the reception unit and proposes a customized wedding plan. The proposal unit generates an optimal wedding plan based on the couple's wishes, ideas, and budget, for example, using AI. The proposal unit uses, for example, AI to analyze the couple's desired theme, decorations, and type of cuisine and proposes an optimal plan based on that. The schedule generation unit automatically generates a detailed schedule based on the plan proposed by the proposal unit. The schedule generation unit uses, for example, AI to generate a detailed schedule including the progress of each step of the wedding and the necessary arrangements. The schedule generation unit uses, for example, AI to analyze the progress of each step of the wedding and the necessary arrangements and generates a detailed schedule based on that. The Option Management Unit manages options and ideas based on the schedule generated by the Schedule Generation Unit. The Option Management Unit provides options and ideas to the couple, for example, using AI. The Option Management Unit provides concrete visuals, for example, by showing images and samples according to the couple's wishes. The Progress Management Unit manages the overall progress based on the options and ideas managed by the Option Management Unit. The Progress Management Unit manages the overall progress of the wedding, for example, using AI, and understands the progress of each step in real time. The Progress Management Unit manages the overall progress of the wedding, for example, by analyzing the progress of each step and understanding it in real time. As a result, the wedding support system according to this embodiment can support the wedding schedule and necessary arrangements based on the couple's wishes, image, and budget.

[0030] The reception desk inputs the couple's wishes, ideas, and budget. These wishes and ideas may include, but are not limited to, a wedding theme, decorations, and types of cuisine. The reception desk provides an interface for the couple to input their desired wedding theme, decorations, and cuisine. Specifically, it provides a user-friendly interface to allow couples to easily input information. For example, couples can select their desired theme, decorations, and cuisine using dropdown menus and checkboxes. A free-text field is also provided, allowing couples to enter detailed requests and ideas. Furthermore, the reception desk collects information regarding the couple's budget. For example, couples can enter their budget limit and desired cost range. This allows the reception desk to centrally manage information regarding the couple's wishes, ideas, and budget, and provide it to subsequent proposal and schedule generation departments.

[0031] The proposal department analyzes the information received by the reception department and proposes a customized wedding plan. For example, the proposal department uses AI to generate the optimal wedding plan based on the couple's wishes, vision, and budget. Specifically, the proposal department uses AI to analyze the couple's input information and generates the optimal plan by referring to past data and trends. For example, the AI ​​analyzes the couple's desired theme, decorations, and type of cuisine and proposes the optimal plan based on that. The AI ​​refers to a database of past weddings and generates a plan based on successful cases of couples with similar wishes and budgets. The AI ​​also considers the latest trends and popular themes to propose the best plan for the couple. Furthermore, the proposal department can collect feedback from couples and continuously improve its proposals. For example, when a couple provides feedback on a proposed plan, the AI ​​learns from that feedback and can reflect it in future proposals. This allows the proposal department to provide a wedding plan that best suits the couple's wishes and vision.

[0032] The schedule generation unit automatically generates a detailed schedule based on the plan proposed by the proposal unit. For example, the schedule generation unit uses AI to generate a detailed schedule including the progress of each step of the wedding and the necessary arrangements. Specifically, the schedule generation unit analyzes the progress of each step of the wedding and the necessary arrangements based on the proposed plan, and generates a detailed schedule accordingly. The AI ​​optimizes the progress of each step of the wedding and automatically incorporates the necessary arrangements into the schedule. For example, the AI ​​generates a detailed schedule considering the wedding start time, the progress of the ceremony, the start time of the reception, and the timing of each speech and performance. Furthermore, the AI ​​optimizes the necessary arrangements according to the couple's wishes and budget. For example, the AI ​​selects the most suitable vendors and services based on the couple's desired decorations and types of food, and generates a schedule accordingly. This allows the schedule generation unit to provide a detailed schedule that best suits the couple's wishes and vision.

[0033] The Option Management Unit manages options and ideas based on the schedule generated by the Schedule Generation Unit. For example, the Option Management Unit uses AI to provide options and ideas to couples. Specifically, the Option Management Unit uses AI to propose options and ideas that meet the couple's wishes. The AI ​​proposes the most suitable options and ideas based on the couple's wishes and vision. For example, the AI ​​proposes the most suitable options and ideas based on the couple's desired theme and decorations. The AI ​​also uses past data and trends to propose the most suitable options and ideas for the couple. Furthermore, the AI ​​can collect feedback from couples and continuously improve its suggestions. For example, by providing feedback on the proposed options and ideas, the AI ​​can learn from that feedback and incorporate it into future suggestions. This allows the Option Management Unit to provide options and ideas that best suit the couple's wishes and vision.

[0034] The progress management department manages the overall progress of the wedding based on the options and ideas managed by the options management department. Specifically, the progress management department uses AI to manage the overall progress of the wedding and monitors the progress of each step in real time. The AI ​​analyzes the progress of each step of the wedding and monitors the progress in real time. For example, the AI ​​monitors the start time of the wedding, the progress of the ceremony, the start time of the reception, and the timing of each speech and performance in real time and manages the progress. In addition, the AI ​​can automatically make necessary adjustments according to the progress. For example, if the wedding is behind schedule, the AI ​​will adjust the schedule and make the necessary arrangements. This allows the progress management department to smoothly manage the overall progress of the wedding and realize a wedding that best suits the couple's wishes and vision.

[0035] The reception desk can analyze information about a couple's past weddings and select the optimal input method. For example, the reception desk can automatically suggest preferred styles and themes based on information about weddings the couple has attended in the past. The reception desk can also prioritize suggesting input methods (voice, text, etc.) that the couple has used in the past. For example, the reception desk can predict and suggest preferences and images to be used at a specific time of day based on information about the couple's past weddings. In this way, the optimal input method can be selected by analyzing information about the couple's past weddings. Some or all of the above processing in the reception desk may be performed using AI, for example, or not using AI. For example, the reception desk can input information about the couple's past weddings into a generating AI and have the generating AI select the optimal input method.

[0036] The reception desk can filter the couple's current lifestyle and areas of interest when they input their wishes and ideas. For example, the reception desk can suggest options for a simple or lavish wedding that suit the couple's lifestyle. The reception desk can also suggest relevant themes and ideas based on the couple's areas of interest (travel, music, art, etc.). The reception desk can also suggest the most suitable wedding style and theme, taking into account the couple's current lifestyle and areas of interest. This allows for more appropriate suggestions by filtering based on the couple's current lifestyle and areas of interest. Some or all of the above processing in the reception desk may be performed using AI, for example, or not. For example, the reception desk can input data on the couple's lifestyle and areas of interest into a generating AI and have the generating AI perform the filtering.

[0037] The reception desk can prioritize inputting highly relevant information by considering the couple's geographical location when they input their wishes and ideas. For example, the reception desk can prioritize suggesting nearby wedding venues and services based on the couple's residential area. For example, the reception desk can also suggest wedding styles and themes tailored to the characteristics of the region based on the couple's geographical location. For example, the reception desk can prioritize suggesting wedding venues and services with convenient transportation, taking into account the couple's geographical location. In this way, highly relevant information can be prioritized by considering the couple's geographical location. Some or all of the above processing in the reception desk may be performed using AI, for example, or not using AI. For example, the reception desk can input the couple's geographical location information into a generating AI and have the generating AI prioritize inputting highly relevant information.

[0038] The reception desk can analyze the couple's social media activity and input relevant information when they input their preferences and image. For example, the reception desk can analyze the couple's social media posts and suggest their preferred style and theme. The reception desk can also suggest relevant ideas based on information about the couple's social media followers and friends' weddings. For example, the reception desk can suggest trends and themes of interest based on the couple's social media activity. In this way, relevant information can be input by analyzing the couple's social media activity. Some or all of the above processing in the reception desk may be performed using AI, for example, or not using AI. For example, the reception desk can input the couple's social media data into a generating AI and have the generating AI input relevant information.

[0039] The proposal unit can adjust the level of detail in its proposals based on the importance of the wedding. For example, if the wedding is highly important, the proposal unit will provide a detailed proposal. If the wedding is of moderate importance, the proposal unit may provide a concise proposal. If the wedding is of low importance, the proposal unit may provide a brief proposal. By adjusting the level of detail in proposals based on the importance of the wedding, more appropriate proposals can be made. Some or all of the above processing in the proposal unit may be performed using AI, for example, or not using AI. For example, the proposal unit can input data on the importance of the wedding into a generating AI and have the generating AI adjust the level of detail in the proposals.

[0040] The suggestion unit can apply different suggestion algorithms depending on the wedding category when making suggestions. For example, if the wedding category is traditional, the suggestion unit can apply an algorithm that suggests traditional styles and themes. If the wedding category is modern, the suggestion unit can also apply an algorithm that suggests modern styles and themes. If the wedding category is casual, the suggestion unit can also apply an algorithm that suggests casual styles and themes. By applying different suggestion algorithms depending on the wedding category, more appropriate suggestions can be made. Some or all of the above processing in the suggestion unit may be performed using AI, for example, or without AI. For example, the suggestion unit can input data about the wedding category into a generating AI and have the generating AI execute the application of the suggestion algorithm.

[0041] The proposal department can prioritize proposals based on the timing of the wedding. For example, if the wedding is approaching, the proposal department will prioritize important information. If the wedding is in the middle of the month, the proposal department can also make concise proposals. If the wedding is far off, the proposal department can also make proposals that include detailed information. By prioritizing proposals based on the timing of the wedding, more appropriate proposals can be made. Some or all of the above processing in the proposal department may be performed using AI, for example, or not. For example, the proposal department can input data about the timing of the wedding into a generating AI and have the generating AI determine the priority of proposals.

[0042] The suggestion unit can adjust the order of suggestions based on their relevance to the wedding. For example, the suggestion unit may prioritize suggesting information that is highly relevant to the wedding. For example, if the relevance is moderate, the suggestion unit may make concise suggestions. For example, the suggestion unit may postpone suggesting information that is less relevant to the wedding. By adjusting the order of suggestions based on their relevance to the wedding, more appropriate suggestions can be made. Some or all of the above processing in the suggestion unit may be performed using AI, for example, or without AI. For example, the suggestion unit can input data on the relevance of the wedding into a generating AI and have the generating AI adjust the order of suggestions.

[0043] The schedule generation unit can adjust the level of detail in the schedule based on the importance of each step of the wedding. For example, if each step of the wedding is highly important, the schedule generation unit will generate a schedule with detailed information. If each step of the wedding is of moderate importance, the schedule generation unit can also generate a concise schedule. If each step of the wedding is of low importance, the schedule generation unit can also generate a simple schedule. By adjusting the level of detail in the schedule based on the importance of each step of the wedding, a more appropriate schedule can be generated. Some or all of the above processing in the schedule generation unit may be performed using AI, for example, or without AI. For example, the schedule generation unit can input data on the importance of each step of the wedding into a generation AI and have the generation AI perform the adjustment of the level of detail in the schedule.

[0044] The schedule generation unit can apply different schedule generation algorithms depending on the wedding category when generating a schedule. For example, if the wedding category is traditional, the schedule generation unit can apply an algorithm that generates a traditional style schedule. If the wedding category is modern, the schedule generation unit can also apply an algorithm that generates a modern style schedule. If the wedding category is casual, the schedule generation unit can also apply an algorithm that generates a casual style schedule. By applying different schedule generation algorithms depending on the wedding category, a more appropriate schedule can be generated. Some or all of the above processing in the schedule generation unit may be performed using AI, for example, or without AI. For example, the schedule generation unit can input data about the wedding category into a generation AI and have the generation AI execute the application of the schedule generation algorithm.

[0045] The schedule generation unit can determine schedule priorities based on the timing of the wedding when generating a schedule. For example, if the wedding is approaching, the schedule generation unit will prioritize incorporating important information into the schedule. For example, if the wedding is in the middle of the period, the schedule generation unit can also generate a schedule that focuses on the essentials. For example, if the wedding is far off, the schedule generation unit can also generate a schedule that includes detailed information. This allows for the generation of a more appropriate schedule by determining schedule priorities based on the timing of the wedding. Some or all of the above processing in the schedule generation unit may be performed using AI, for example, or without AI. For example, the schedule generation unit can input data about the timing of the wedding into a generation AI and have the generation AI perform the task of determining schedule priorities.

[0046] The schedule generation unit can adjust the order of the schedule based on the relevance of the weddings when generating the schedule. For example, the schedule generation unit can prioritize the inclusion of information with high relevance to the weddings. For example, if the relevance to the weddings is moderate, the schedule generation unit can also generate a concise schedule. For example, the schedule generation unit can postpone the inclusion of information with low relevance to the weddings. By adjusting the order of the schedule based on the relevance of the weddings, a more appropriate schedule is generated. Some or all of the above processing in the schedule generation unit may be performed using AI, for example, or without AI. For example, the schedule generation unit can input data on the relevance of the weddings into a generation AI and have the generation AI perform the adjustment of the order of the schedules.

[0047] The option management unit can adjust the level of detail in managing options based on the importance of each wedding option. For example, if an option is highly important, the option management unit can provide a management method that includes detailed information. If an option is of moderate importance, the option management unit can also provide a concise management method. If an option is of low importance, the option management unit can also provide a simple management method. By adjusting the level of detail in management based on the importance of each wedding option, more appropriate option management becomes possible. Some or all of the above processing in the option management unit may be performed using AI, for example, or without AI. For example, the option management unit can input data on the importance of each wedding option into a generating AI and have the generating AI perform the adjustment of the level of detail in management.

[0048] The option management unit can apply different option management algorithms depending on the wedding category during option management. For example, if the wedding category is traditional, the option management unit can apply a traditional style option management algorithm. If the wedding category is modern, the option management unit can also apply a modern style option management algorithm. If the wedding category is casual, the option management unit can also apply a casual style option management algorithm. By applying different option management algorithms depending on the wedding category, more appropriate option management becomes possible. Some or all of the above processing in the option management unit may be performed using AI, for example, or without AI. For example, the option management unit can input data about the wedding category into a generating AI and have the generating AI execute the application of the option management algorithm.

[0049] The option management unit can determine the priority of options based on the timing of the wedding. For example, if the wedding is approaching, the option management unit will prioritize important options. If the wedding is in the middle of the month, the option management unit can also perform a concise option management. If the wedding is far off, the option management unit can also perform a detailed option management. This allows for more appropriate option management by determining the priority of options based on the timing of the wedding. Some or all of the above processing in the option management unit may be performed using AI, for example, or not. For example, the option management unit can input data about the timing of the wedding into a generating AI and have the generating AI perform the determination of option priorities.

[0050] The option management unit can adjust the order of options based on their relevance to the wedding during option management. For example, the option management unit can prioritize options with high wedding relevance. For example, if the wedding relevance is moderate, the option management unit can perform a concise option management. For example, the option management unit can also postpone the management of options with low wedding relevance. This allows for more appropriate option management by adjusting the order of options based on wedding relevance. Some or all of the above processing in the option management unit may be performed using AI, for example, or without AI. For example, the option management unit can input data on wedding relevance into a generating AI and have the generating AI perform the adjustment of the order of options.

[0051] The progress management unit can adjust the level of detail in the progress management based on the importance of each step of the wedding. For example, if each step of the wedding is highly important, the progress management unit will provide detailed progress management. If each step is of moderate importance, the progress management unit can provide concise progress management. If each step is of low importance, the progress management unit can provide simple progress management. By adjusting the level of detail in the progress management based on the importance of each step of the wedding, more appropriate progress management becomes possible. Some or all of the above processes in the progress management unit may be performed using AI, for example, or not. For example, the progress management unit can input data on the importance of each step of the wedding into a generating AI and have the generating AI perform the adjustment of the level of detail in the progress management.

[0052] The progress management unit can apply different progress management algorithms depending on the category of the wedding. For example, if the wedding category is traditional, the progress management unit will apply a traditional style progress management algorithm. If the wedding category is modern, the progress management unit can also apply a modern style progress management algorithm. If the wedding category is casual, the progress management unit can also apply a casual style progress management algorithm. By applying different progress management algorithms depending on the wedding category, more appropriate progress management becomes possible. Some or all of the above processing in the progress management unit may be performed using AI, for example, or without AI. For example, the progress management unit can input data on the wedding category into a generating AI and have the generating AI execute the application of the progress management algorithm.

[0053] The progress management unit can determine the priority of progress management based on the timing of the wedding. For example, if the wedding is approaching, the progress management unit will prioritize important steps in its progress management. If the wedding is in the middle of the planning period, the progress management unit can perform a more concise progress management. If the wedding is far off, the progress management unit can perform a more detailed progress management. This allows for more appropriate progress management by determining the priority of progress management based on the timing of the wedding. Some or all of the above processes in the progress management unit may be performed using AI, for example, or not. For example, the progress management unit can input data about the timing of the wedding into a generating AI and have the generating AI determine the priority of progress management.

[0054] The progress management unit can adjust the order of progress management based on the relevance of the wedding. For example, the progress management unit can prioritize the management of steps that are highly relevant to the wedding. For example, if the relevance of the wedding is moderate, the progress management unit can perform progress management that focuses on the essentials. For example, the progress management unit can postpone the management of steps that are less relevant to the wedding. By adjusting the order of progress management based on the relevance of the wedding, more appropriate progress management becomes possible. Some or all of the above processing in the progress management unit may be performed using AI, for example, or not using AI. For example, the progress management unit can input data on the relevance of the wedding into a generating AI and have the generating AI perform the adjustment of the order of progress management.

[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 proposal department can analyze a couple's past travel history and propose wedding plans based on the culture and themes of their travel destinations. For example, they can suggest a wedding theme that incorporates the culture and traditions of countries the couple has visited in the past. They can also customize wedding decorations and visuals using photos the couple took at specific travel destinations. Furthermore, they can incorporate the food and music the couple experienced during their travels into the wedding menu and entertainment. This allows them to propose unique wedding plans tailored to the couple's travel history.

[0057] The schedule generation unit can adjust the schedule to take into account the couple's health condition. For example, if one partner is unwell, the schedule can be flexibly changed to allow for more rest time. Furthermore, if the couple has specific health management requirements, the wedding schedule can be adjusted to accommodate them. Additionally, if the couple has specific dietary restrictions, the system can suggest menus that meet those restrictions and incorporate them into the schedule. This allows for the provision of a schedule that takes the couple's health into consideration.

[0058] The proposal department can suggest wedding ideas that take into account the couple's hobbies and talents. For example, if the couple loves music, they can suggest incorporating live music or karaoke. If the couple is good at dancing, they can suggest incorporating a dance performance. Furthermore, if the couple enjoys cooking, they can suggest a cooking show or have the couple themselves prepare the food. By providing ideas that match the couple's hobbies and talents, a more unique wedding can be realized.

[0059] The schedule generation unit can adjust the schedule to take into account the couple's family structure. For example, if there are elderly people in the couple's family, the schedule can be adjusted to allow more time for travel and rest so that everyone can have a comfortable experience. If there are young children in the couple's family, child-friendly activities and rest times can be incorporated into the schedule. Furthermore, if there are members in the couple's family who require special consideration, the schedule can be tailored to those needs. In this way, the system can provide a schedule that takes into account the couple's family structure.

[0060] The proposal department can suggest wedding themes and elements based on the couple's occupations and careers. For example, if the couple are healthcare professionals, they can suggest themes and elements related to healthcare. If the couple are artists, they can suggest themes and elements related to art. Furthermore, if the couple are athletes, they can suggest themes and elements related to sports. This allows for a more personalized wedding by providing themes and elements tailored to the couple's occupations and careers.

[0061] The following briefly describes the processing flow for example form 1.

[0062] Step 1: The reception desk receives input from the couple regarding their wishes, vision, and budget. These wishes include, for example, the wedding theme, decorations, and type of cuisine. The reception desk provides an interface for the couple to input their desired wedding theme, decorations, and type of cuisine. Step 2: The proposal department analyzes the information received by the reception department and proposes a customized wedding plan. The proposal department uses AI to generate the optimal wedding plan based on the couple's wishes, vision, and budget. Step 3: The schedule generation unit automatically generates a detailed schedule based on the plan proposed by the proposal unit. The schedule generation unit uses AI to generate a detailed schedule that includes the progress of each step of the wedding and the necessary arrangements. Step 4: The Option Management Unit manages options and ideas based on the schedule generated by the Schedule Generation Unit. The Option Management Unit uses AI to provide options and ideas to couples. Step 5: The progress management department manages the overall progress based on the options and ideas managed by the options management department. The progress management department uses AI to manage the overall progress of the wedding and monitors the progress of each step in real time.

[0063] (Example of form 2) The wedding support system according to an embodiment of the present invention is a system that supports the scheduling and necessary arrangements for a wedding based on the couple's wishes, image, and budget. This wedding support system takes the couple's wishes, image, and budget as input, and an AI agent analyzes this information to propose a customized wedding plan. Next, it automatically generates a detailed schedule based on the proposed plan. This schedule includes the progress of each step and the necessary arrangements. Furthermore, the AI ​​agent provides the couple with options and ideas. It provides concrete visuals, such as showing images and samples, to support the couple in making decisions. The AI ​​agent manages the overall progress and monitors the progress of each step in real time. This allows the couple to proceed with wedding preparations smoothly. It also supports budget management, enabling the couple to achieve the optimal wedding within their budget. This wedding support system targets couples planning to get married, wedding venues, and wedding planners, and supports wedding preparations. For example, by inputting the couple's desired wedding theme, decorations, and type of cuisine, the AI ​​agent proposes the optimal plan based on that information. Furthermore, the AI ​​agent can also propose cost-effective options according to the couple's budget. For example, if the couple desires a lavish wedding, the AI ​​agent will propose high-end venues, decorations, and cuisine. On the other hand, if a couple desires a simple wedding, the AI ​​agent will propose a cost-effective plan. Furthermore, the AI ​​agent manages the wedding proceedings in real time according to the couple's wishes, supporting a smooth flow. For example, if an unexpected problem arises on the wedding day, the AI ​​agent will respond quickly and propose the best solution. This allows the couple to approach their wedding with peace of mind. In this way, the wedding support system can assist with the wedding schedule and necessary arrangements based on the couple's wishes, vision, and budget.

[0064] The wedding support system according to this embodiment comprises a reception unit, a proposal unit, a schedule generation unit, an option management unit, and a progress management unit. The reception unit receives input from the couple regarding their wishes, ideas, and budget. The couple's wishes and ideas include, but are not limited to, the wedding theme, decorations, and type of cuisine. The reception unit provides an interface for the couple to input their desired wedding theme, decorations, and type of cuisine. The proposal unit analyzes the information received by the reception unit and proposes a customized wedding plan. The proposal unit generates an optimal wedding plan based on the couple's wishes, ideas, and budget, for example, using AI. The proposal unit uses, for example, AI to analyze the couple's desired theme, decorations, and type of cuisine and proposes an optimal plan based on that. The schedule generation unit automatically generates a detailed schedule based on the plan proposed by the proposal unit. The schedule generation unit uses, for example, AI to generate a detailed schedule including the progress of each step of the wedding and the necessary arrangements. The schedule generation unit uses, for example, AI to analyze the progress of each step of the wedding and the necessary arrangements and generates a detailed schedule based on that. The Option Management Unit manages options and ideas based on the schedule generated by the Schedule Generation Unit. The Option Management Unit provides options and ideas to the couple, for example, using AI. The Option Management Unit provides concrete visuals, for example, by showing images and samples according to the couple's wishes. The Progress Management Unit manages the overall progress based on the options and ideas managed by the Option Management Unit. The Progress Management Unit manages the overall progress of the wedding, for example, using AI, and understands the progress of each step in real time. The Progress Management Unit manages the overall progress of the wedding, for example, by analyzing the progress of each step and understanding it in real time. As a result, the wedding support system according to this embodiment can support the wedding schedule and necessary arrangements based on the couple's wishes, image, and budget.

[0065] The reception desk inputs the couple's wishes, ideas, and budget. These wishes and ideas may include, but are not limited to, a wedding theme, decorations, and types of cuisine. The reception desk provides an interface for the couple to input their desired wedding theme, decorations, and cuisine. Specifically, it provides a user-friendly interface to allow couples to easily input information. For example, couples can select their desired theme, decorations, and cuisine using dropdown menus and checkboxes. A free-text field is also provided, allowing couples to enter detailed requests and ideas. Furthermore, the reception desk collects information regarding the couple's budget. For example, couples can enter their budget limit and desired cost range. This allows the reception desk to centrally manage information regarding the couple's wishes, ideas, and budget, and provide it to subsequent proposal and schedule generation departments.

[0066] The proposal department analyzes the information received by the reception department and proposes a customized wedding plan. For example, the proposal department uses AI to generate the optimal wedding plan based on the couple's wishes, vision, and budget. Specifically, the proposal department uses AI to analyze the couple's input information and generates the optimal plan by referring to past data and trends. For example, the AI ​​analyzes the couple's desired theme, decorations, and type of cuisine and proposes the optimal plan based on that. The AI ​​refers to a database of past weddings and generates a plan based on successful cases of couples with similar wishes and budgets. The AI ​​also considers the latest trends and popular themes to propose the best plan for the couple. Furthermore, the proposal department can collect feedback from couples and continuously improve its proposals. For example, when a couple provides feedback on a proposed plan, the AI ​​learns from that feedback and can reflect it in future proposals. This allows the proposal department to provide a wedding plan that best suits the couple's wishes and vision.

[0067] The schedule generation unit automatically generates a detailed schedule based on the plan proposed by the proposal unit. For example, the schedule generation unit uses AI to generate a detailed schedule including the progress of each step of the wedding and the necessary arrangements. Specifically, the schedule generation unit analyzes the progress of each step of the wedding and the necessary arrangements based on the proposed plan, and generates a detailed schedule accordingly. The AI ​​optimizes the progress of each step of the wedding and automatically incorporates the necessary arrangements into the schedule. For example, the AI ​​generates a detailed schedule considering the wedding start time, the progress of the ceremony, the start time of the reception, and the timing of each speech and performance. Furthermore, the AI ​​optimizes the necessary arrangements according to the couple's wishes and budget. For example, the AI ​​selects the most suitable vendors and services based on the couple's desired decorations and types of food, and generates a schedule accordingly. This allows the schedule generation unit to provide a detailed schedule that best suits the couple's wishes and vision.

[0068] The Option Management Unit manages options and ideas based on the schedule generated by the Schedule Generation Unit. For example, the Option Management Unit uses AI to provide options and ideas to couples. Specifically, the Option Management Unit uses AI to propose options and ideas that meet the couple's wishes. The AI ​​proposes the most suitable options and ideas based on the couple's wishes and vision. For example, the AI ​​proposes the most suitable options and ideas based on the couple's desired theme and decorations. The AI ​​also uses past data and trends to propose the most suitable options and ideas for the couple. Furthermore, the AI ​​can collect feedback from couples and continuously improve its suggestions. For example, by providing feedback on the proposed options and ideas, the AI ​​can learn from that feedback and incorporate it into future suggestions. This allows the Option Management Unit to provide options and ideas that best suit the couple's wishes and vision.

[0069] The progress management department manages the overall progress of the wedding based on the options and ideas managed by the options management department. Specifically, the progress management department uses AI to manage the overall progress of the wedding and monitors the progress of each step in real time. The AI ​​analyzes the progress of each step of the wedding and monitors the progress in real time. For example, the AI ​​monitors the start time of the wedding, the progress of the ceremony, the start time of the reception, and the timing of each speech and performance in real time and manages the progress. In addition, the AI ​​can automatically make necessary adjustments according to the progress. For example, if the wedding is behind schedule, the AI ​​will adjust the schedule and make the necessary arrangements. This allows the progress management department to smoothly manage the overall progress of the wedding and realize a wedding that best suits the couple's wishes and vision.

[0070] The reception desk can estimate the couple's emotions and adjust the input method for their wishes and images based on the estimated emotions. For example, if the couple is nervous, the reception desk can provide a simple and intuitive interface and minimize the input steps. If the couple is relaxed, the reception desk can also provide detailed input options and suggest a customizable input method. If the couple is in a hurry, the reception desk can prioritize voice input to allow for quick input of wishes and images. This allows for more appropriate input by adjusting the input method for wishes and images according to the couple'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 reception desk may be performed using AI or not using AI. For example, the reception desk can input the couple's facial expression data into the generative AI and have the generative AI perform the couple's emotion estimation.

[0071] The reception desk can analyze information about a couple's past weddings and select the optimal input method. For example, the reception desk can automatically suggest preferred styles and themes based on information about weddings the couple has attended in the past. The reception desk can also prioritize suggesting input methods (voice, text, etc.) that the couple has used in the past. For example, the reception desk can predict and suggest preferences and images to be used at a specific time of day based on information about the couple's past weddings. In this way, the optimal input method can be selected by analyzing information about the couple's past weddings. Some or all of the above processing in the reception desk may be performed using AI, for example, or not using AI. For example, the reception desk can input information about the couple's past weddings into a generating AI and have the generating AI select the optimal input method.

[0072] The reception desk can filter the couple's current lifestyle and areas of interest when they input their wishes and ideas. For example, the reception desk can suggest options for a simple or lavish wedding that suit the couple's lifestyle. The reception desk can also suggest relevant themes and ideas based on the couple's areas of interest (travel, music, art, etc.). The reception desk can also suggest the most suitable wedding style and theme, taking into account the couple's current lifestyle and areas of interest. This allows for more appropriate suggestions by filtering based on the couple's current lifestyle and areas of interest. Some or all of the above processing in the reception desk may be performed using AI, for example, or not. For example, the reception desk can input data on the couple's lifestyle and areas of interest into a generating AI and have the generating AI perform the filtering.

[0073] The reception desk can estimate the couple's emotions and prioritize the information to be entered based on the estimated emotions. For example, if the couple is tense, the reception desk will prioritize important information and postpone detailed information. If the couple is relaxed, the reception desk may prioritize detailed information and suggest customizable options. If the couple is in a hurry, the reception desk may prioritize the minimum necessary information, allowing them to quickly enter their wishes and ideas. This allows for more appropriate information entry by prioritizing the information to be entered according to the couple'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 reception desk may be performed using AI or not. For example, the reception desk can input the couple's facial expression data into a generative AI and have the generative AI perform the couple's emotion estimation.

[0074] The reception desk can prioritize inputting highly relevant information by considering the couple's geographical location when they input their wishes and ideas. For example, the reception desk can prioritize suggesting nearby wedding venues and services based on the couple's residential area. For example, the reception desk can also suggest wedding styles and themes tailored to the characteristics of the region based on the couple's geographical location. For example, the reception desk can prioritize suggesting wedding venues and services with convenient transportation, taking into account the couple's geographical location. In this way, highly relevant information can be prioritized by considering the couple's geographical location. Some or all of the above processing in the reception desk may be performed using AI, for example, or not using AI. For example, the reception desk can input the couple's geographical location information into a generating AI and have the generating AI prioritize inputting highly relevant information.

[0075] The reception desk can analyze the couple's social media activity and input relevant information when they input their preferences and image. For example, the reception desk can analyze the couple's social media posts and suggest their preferred style and theme. The reception desk can also suggest relevant ideas based on information about the couple's social media followers and friends' weddings. For example, the reception desk can suggest trends and themes of interest based on the couple's social media activity. In this way, relevant information can be input by analyzing the couple's social media activity. Some or all of the above processing in the reception desk may be performed using AI, for example, or not using AI. For example, the reception desk can input the couple's social media data into a generating AI and have the generating AI input relevant information.

[0076] The suggestion unit can estimate the couple's emotions and adjust the way it presents its suggestions based on those emotions. For example, if the couple is tense, the suggestion unit will present simple and easily understandable suggestions. If the couple is relaxed, the suggestion unit may also present suggestions that include more detailed information. If the couple is in a hurry, the suggestion unit may also present concise suggestions that get straight to the point. By adjusting the way it presents its suggestions according to the couple's emotions, it becomes possible to provide more appropriate suggestions. 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-described processes in the suggestion unit may be performed using AI or not using AI. For example, the suggestion unit can input the couple's facial expression data into the generative AI and have the generative AI perform the couple's emotion estimation.

[0077] The proposal unit can adjust the level of detail in its proposals based on the importance of the wedding. For example, if the wedding is highly important, the proposal unit will provide a detailed proposal. If the wedding is of moderate importance, the proposal unit may provide a concise proposal. If the wedding is of low importance, the proposal unit may provide a brief proposal. By adjusting the level of detail in proposals based on the importance of the wedding, more appropriate proposals can be made. Some or all of the above processing in the proposal unit may be performed using AI, for example, or not using AI. For example, the proposal unit can input data on the importance of the wedding into a generating AI and have the generating AI adjust the level of detail in the proposals.

[0078] The suggestion unit can apply different suggestion algorithms depending on the wedding category when making suggestions. For example, if the wedding category is traditional, the suggestion unit can apply an algorithm that suggests traditional styles and themes. If the wedding category is modern, the suggestion unit can also apply an algorithm that suggests modern styles and themes. If the wedding category is casual, the suggestion unit can also apply an algorithm that suggests casual styles and themes. By applying different suggestion algorithms depending on the wedding category, more appropriate suggestions can be made. Some or all of the above processing in the suggestion unit may be performed using AI, for example, or without AI. For example, the suggestion unit can input data about the wedding category into a generating AI and have the generating AI execute the application of the suggestion algorithm.

[0079] The suggestion unit can estimate the couple's emotions and adjust the length of the suggestion based on the estimated emotions. For example, if the couple is tense, the suggestion unit will make a short, to-the-point suggestion. If the couple is relaxed, the suggestion unit may make a longer suggestion with more detailed explanations. If the couple is in a hurry, the suggestion unit may make a quick and concise suggestion. By adjusting the length of the suggestion according to the couple's emotions, more appropriate suggestions can be made. 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 suggestion unit may be performed using AI or not using AI. For example, the suggestion unit can input the couple's facial expression data into the generative AI and have the generative AI perform the couple's emotion estimation.

[0080] The proposal department can prioritize proposals based on the timing of the wedding. For example, if the wedding is approaching, the proposal department will prioritize important information. If the wedding is in the middle of the month, the proposal department can also make concise proposals. If the wedding is far off, the proposal department can also make proposals that include detailed information. By prioritizing proposals based on the timing of the wedding, more appropriate proposals can be made. Some or all of the above processing in the proposal department may be performed using AI, for example, or not. For example, the proposal department can input data about the timing of the wedding into a generating AI and have the generating AI determine the priority of proposals.

[0081] The suggestion unit can adjust the order of suggestions based on their relevance to the wedding. For example, the suggestion unit may prioritize suggesting information that is highly relevant to the wedding. For example, if the relevance is moderate, the suggestion unit may make concise suggestions. For example, the suggestion unit may postpone suggesting information that is less relevant to the wedding. By adjusting the order of suggestions based on their relevance to the wedding, more appropriate suggestions can be made. Some or all of the above processing in the suggestion unit may be performed using AI, for example, or without AI. For example, the suggestion unit can input data on the relevance of the wedding into a generating AI and have the generating AI adjust the order of suggestions.

[0082] The schedule generation unit can estimate the couple's emotions and adjust the schedule generation method based on the estimated emotions. For example, if the couple is tense, the schedule generation unit can generate a simple and easy-to-read schedule. If the couple is relaxed, the schedule generation unit can also generate a schedule with detailed information. If the couple is in a hurry, the schedule generation unit can also generate a concise schedule that gets straight to the point. By adjusting the schedule generation method according to the couple's emotions, a more appropriate schedule can be generated. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or a generation AI. The generation AI is, but is not limited to, a text generation AI (e.g., LLM) or a multimodal generation AI. Some or all of the above processing in the schedule generation unit may be performed using AI, for example, or without AI. For example, the schedule generation unit can input the couple's facial expression data into the generation AI and have the generation AI perform the couple's emotion estimation.

[0083] The schedule generation unit can adjust the level of detail in the schedule based on the importance of each step of the wedding. For example, if each step of the wedding is highly important, the schedule generation unit will generate a schedule with detailed information. If each step of the wedding is of moderate importance, the schedule generation unit can also generate a concise schedule. If each step of the wedding is of low importance, the schedule generation unit can also generate a simple schedule. By adjusting the level of detail in the schedule based on the importance of each step of the wedding, a more appropriate schedule can be generated. Some or all of the above processing in the schedule generation unit may be performed using AI, for example, or without AI. For example, the schedule generation unit can input data on the importance of each step of the wedding into a generation AI and have the generation AI perform the adjustment of the level of detail in the schedule.

[0084] The schedule generation unit can apply different schedule generation algorithms depending on the wedding category when generating a schedule. For example, if the wedding category is traditional, the schedule generation unit can apply an algorithm that generates a traditional style schedule. If the wedding category is modern, the schedule generation unit can also apply an algorithm that generates a modern style schedule. If the wedding category is casual, the schedule generation unit can also apply an algorithm that generates a casual style schedule. By applying different schedule generation algorithms depending on the wedding category, a more appropriate schedule can be generated. Some or all of the above processing in the schedule generation unit may be performed using AI, for example, or without AI. For example, the schedule generation unit can input data about the wedding category into a generation AI and have the generation AI execute the application of the schedule generation algorithm.

[0085] The schedule generation unit can estimate the couple's emotions and adjust the length of the schedule based on the estimated emotions. For example, if the couple is tense, the schedule generation unit can generate a short, concise schedule. If the couple is relaxed, for example, the schedule generation unit can generate a longer schedule with detailed explanations. If the couple is in a hurry, for example, the schedule generation unit can generate a quick and concise schedule. By adjusting the length of the schedule according to the couple's emotions, a more appropriate schedule can be generated. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or a generation AI. The generation AI is, but is not limited to, a text generation AI (e.g., LLM) or a multimodal generation AI. Some or all of the above processing in the schedule generation unit may be performed using AI, for example, or not using AI. For example, the schedule generation unit can input the couple's facial expression data into the generation AI and have the generation AI perform the couple's emotion estimation.

[0086] The schedule generation unit can determine schedule priorities based on the timing of the wedding when generating a schedule. For example, if the wedding is approaching, the schedule generation unit will prioritize incorporating important information into the schedule. For example, if the wedding is in the middle of the period, the schedule generation unit can also generate a schedule that focuses on the essentials. For example, if the wedding is far off, the schedule generation unit can also generate a schedule that includes detailed information. This allows for the generation of a more appropriate schedule by determining schedule priorities based on the timing of the wedding. Some or all of the above processing in the schedule generation unit may be performed using AI, for example, or without AI. For example, the schedule generation unit can input data about the timing of the wedding into a generation AI and have the generation AI perform the task of determining schedule priorities.

[0087] The schedule generation unit can adjust the order of the schedule based on the relevance of the weddings when generating the schedule. For example, the schedule generation unit can prioritize the inclusion of information with high relevance to the weddings. For example, if the relevance to the weddings is moderate, the schedule generation unit can also generate a concise schedule. For example, the schedule generation unit can postpone the inclusion of information with low relevance to the weddings. By adjusting the order of the schedule based on the relevance of the weddings, a more appropriate schedule is generated. Some or all of the above processing in the schedule generation unit may be performed using AI, for example, or without AI. For example, the schedule generation unit can input data on the relevance of the weddings into a generation AI and have the generation AI perform the adjustment of the order of the schedules.

[0088] The option management unit can estimate the couple's emotions and adjust the option management method based on the estimated emotions. For example, if the couple is tense, the option management unit can provide a simple and highly visible option management method. For example, if the couple is relaxed, the option management unit can also provide an option management method that includes detailed information. For example, if the couple is in a hurry, the option management unit can also provide a quick and concise option management method. This allows for more appropriate option management by adjusting the option management method according to the couple's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. The generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the option management unit may be performed using AI or not using AI. For example, the option management unit can input the couple's facial expression data into the generative AI and have the generative AI perform the couple's emotion estimation.

[0089] The option management unit can adjust the level of detail in managing options based on the importance of each wedding option. For example, if an option is highly important, the option management unit can provide a management method that includes detailed information. If an option is of moderate importance, the option management unit can also provide a concise management method. If an option is of low importance, the option management unit can also provide a simple management method. By adjusting the level of detail in management based on the importance of each wedding option, more appropriate option management becomes possible. Some or all of the above processing in the option management unit may be performed using AI, for example, or without AI. For example, the option management unit can input data on the importance of each wedding option into a generating AI and have the generating AI perform the adjustment of the level of detail in management.

[0090] The option management unit can apply different option management algorithms depending on the wedding category during option management. For example, if the wedding category is traditional, the option management unit can apply a traditional style option management algorithm. If the wedding category is modern, the option management unit can also apply a modern style option management algorithm. If the wedding category is casual, the option management unit can also apply a casual style option management algorithm. By applying different option management algorithms depending on the wedding category, more appropriate option management becomes possible. Some or all of the above processing in the option management unit may be performed using AI, for example, or without AI. For example, the option management unit can input data about the wedding category into a generating AI and have the generating AI execute the application of the option management algorithm.

[0091] The option management unit can estimate the couple's emotions and determine the priority of options based on the estimated emotions. For example, if the couple is tense, the option management unit will prioritize important options. For example, if the couple is relaxed, the option management unit may also prioritize detailed options. For example, if the couple is in a hurry, the option management unit may also prioritize the minimum necessary options. This allows for more appropriate option management by determining the priority of options according to the couple's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using 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 option management unit may be performed using AI or not using AI. For example, the option management unit can input the couple's facial expression data into the generative AI and have the generative AI perform the estimation of the couple's emotions.

[0092] The option management unit can determine the priority of options based on the timing of the wedding. For example, if the wedding is approaching, the option management unit will prioritize important options. If the wedding is in the middle of the month, the option management unit can also perform a concise option management. If the wedding is far off, the option management unit can also perform a detailed option management. This allows for more appropriate option management by determining the priority of options based on the timing of the wedding. Some or all of the above processing in the option management unit may be performed using AI, for example, or not. For example, the option management unit can input data about the timing of the wedding into a generating AI and have the generating AI perform the determination of option priorities.

[0093] The option management unit can adjust the order of options based on their relevance to the wedding during option management. For example, the option management unit can prioritize options with high wedding relevance. For example, if the wedding relevance is moderate, the option management unit can perform a concise option management. For example, the option management unit can also postpone the management of options with low wedding relevance. This allows for more appropriate option management by adjusting the order of options based on wedding relevance. Some or all of the above processing in the option management unit may be performed using AI, for example, or without AI. For example, the option management unit can input data on wedding relevance into a generating AI and have the generating AI perform the adjustment of the order of options.

[0094] The progress management unit can estimate the couple's emotions and adjust the progress management method based on the estimated emotions. For example, if the couple is tense, the progress management unit can provide a simple and highly visible progress management method. For example, if the couple is relaxed, the progress management unit can also provide a progress management method that includes detailed information. For example, if the couple is in a hurry, the progress management unit can also provide a quick and concise progress management method. This allows for more appropriate progress management by adjusting the progress management method according to the couple'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 progress management unit may be performed using AI or not using AI. For example, the progress management unit can input the couple's facial expression data into the generative AI and have the generative AI perform the estimation of the couple's emotions.

[0095] The progress management unit can adjust the level of detail in the progress management based on the importance of each step of the wedding. For example, if each step of the wedding is highly important, the progress management unit will provide detailed progress management. If each step is of moderate importance, the progress management unit can provide concise progress management. If each step is of low importance, the progress management unit can provide simple progress management. By adjusting the level of detail in the progress management based on the importance of each step of the wedding, more appropriate progress management becomes possible. Some or all of the above processes in the progress management unit may be performed using AI, for example, or not. For example, the progress management unit can input data on the importance of each step of the wedding into a generating AI and have the generating AI perform the adjustment of the level of detail in the progress management.

[0096] The progress management unit can apply different progress management algorithms depending on the category of the wedding. For example, if the wedding category is traditional, the progress management unit will apply a traditional style progress management algorithm. If the wedding category is modern, the progress management unit can also apply a modern style progress management algorithm. If the wedding category is casual, the progress management unit can also apply a casual style progress management algorithm. By applying different progress management algorithms depending on the wedding category, more appropriate progress management becomes possible. Some or all of the above processing in the progress management unit may be performed using AI, for example, or without AI. For example, the progress management unit can input data on the wedding category into a generating AI and have the generating AI execute the application of the progress management algorithm.

[0097] The progress management unit can estimate the couple's emotions and determine the priority of progress management based on the estimated emotions. For example, if the couple is tense, the progress management unit will prioritize important steps. For example, if the couple is relaxed, the progress management unit may also prioritize detailed steps. For example, if the couple is in a hurry, the progress management unit may also prioritize the minimum necessary steps. This allows for more appropriate progress management by determining the priority of progress management according to the couple'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 progress management unit may be performed using AI, for example, or not using AI. For example, the progress management unit can input the couple's facial expression data into the generative AI and have the generative AI perform the estimation of the couple's emotions.

[0098] The progress management unit can determine the priority of progress management based on the timing of the wedding. For example, if the wedding is approaching, the progress management unit will prioritize important steps in its progress management. If the wedding is in the middle of the planning period, the progress management unit can perform a more concise progress management. If the wedding is far off, the progress management unit can perform a more detailed progress management. This allows for more appropriate progress management by determining the priority of progress management based on the timing of the wedding. Some or all of the above processes in the progress management unit may be performed using AI, for example, or not. For example, the progress management unit can input data about the timing of the wedding into a generating AI and have the generating AI determine the priority of progress management.

[0099] The progress management unit can adjust the order of progress management based on the relevance of the wedding. For example, the progress management unit can prioritize the management of steps that are highly relevant to the wedding. For example, if the relevance of the wedding is moderate, the progress management unit can perform progress management that focuses on the essentials. For example, the progress management unit can postpone the management of steps that are less relevant to the wedding. By adjusting the order of progress management based on the relevance of the wedding, more appropriate progress management becomes possible. Some or all of the above processing in the progress management unit may be performed using AI, for example, or not using AI. For example, the progress management unit can input data on the relevance of the wedding into a generating AI and have the generating AI perform the adjustment of the order of progress management.

[0100] The system according to the embodiment is not limited to the example described above, and various modifications are possible, for example, as follows.

[0101] The proposal department can analyze a couple's past travel history and propose wedding plans based on the culture and themes of their travel destinations. For example, they can suggest a wedding theme that incorporates the culture and traditions of countries the couple has visited in the past. They can also customize wedding decorations and visuals using photos the couple took at specific travel destinations. Furthermore, they can incorporate the food and music the couple experienced during their travels into the wedding menu and entertainment. This allows them to propose unique wedding plans tailored to the couple's travel history.

[0102] The proposal team can estimate the couple's emotions and, based on those emotions, suggest a story related to the wedding theme. For example, if the couple is in a romantic mood, the team can suggest a theme based on a romantic story or movie. If the couple is adventurous, they can suggest a theme incorporating elements of adventure or fantasy. Furthermore, if the couple is relaxed, they can suggest a relaxed beach wedding or garden party theme. By suggesting a theme that matches the couple's emotions, the team can create a wedding that is more emotionally resonant.

[0103] The schedule generation unit can adjust the schedule to take into account the couple's health condition. For example, if one partner is unwell, the schedule can be flexibly changed to allow for more rest time. Furthermore, if the couple has specific health management requirements, the wedding schedule can be adjusted to accommodate them. Additionally, if the couple has specific dietary restrictions, the system can suggest menus that meet those restrictions and incorporate them into the schedule. This allows for the provision of a schedule that takes the couple's health into consideration.

[0104] The options management department can estimate the couple's emotions and customize wedding options based on those estimates. For example, if the couple is nervous, it can suggest relaxing options. If the couple is excited, it can suggest highly entertaining options. Furthermore, if the couple is moved, it can suggest emotionally moving performances or surprises. By providing options tailored to the couple's emotions, it is possible to create a wedding that is more emotionally resonant.

[0105] The wedding planning department can estimate the couple's emotions and adjust the wedding proceedings based on those estimates. For example, if the couple is nervous, the proceedings can be slowed down to help them relax. If the couple is excited, the proceedings can be kept smooth to maintain their excitement. Furthermore, if the couple is deeply moved, the proceedings can be temporarily paused to cherish those emotional moments. By providing a wedding plan tailored to the couple's emotions, a more emotionally resonant wedding can be achieved.

[0106] The proposal department can suggest wedding ideas that take into account the couple's hobbies and talents. For example, if the couple loves music, they can suggest incorporating live music or karaoke. If the couple is good at dancing, they can suggest incorporating a dance performance. Furthermore, if the couple enjoys cooking, they can suggest a cooking show or have the couple themselves prepare the food. By providing ideas that match the couple's hobbies and talents, a more unique wedding can be realized.

[0107] The schedule generation unit can adjust the schedule to take into account the couple's family structure. For example, if there are elderly people in the couple's family, the schedule can be adjusted to allow more time for travel and rest so that everyone can have a comfortable experience. If there are young children in the couple's family, child-friendly activities and rest times can be incorporated into the schedule. Furthermore, if there are members in the couple's family who require special consideration, the schedule can be tailored to those needs. In this way, the system can provide a schedule that takes into account the couple's family structure.

[0108] The options management department can estimate the couple's emotions and, based on those estimates, prioritize wedding options. For example, if the couple is nervous, relaxing options will be prioritized. If the couple is excited, highly entertaining options will be prioritized. Furthermore, if the couple is moved, emotional performances and surprises will be prioritized. By prioritizing options according to the couple's emotions, a more emotionally resonant wedding can be achieved.

[0109] The wedding planning department can estimate the couple's emotions and, based on those estimates, prioritize the wedding proceedings. For example, if the couple is nervous, important steps will be prioritized. If the couple is relaxed, detailed steps can be prioritized. Furthermore, if the couple is in a hurry, only the essential steps can be prioritized. By prioritizing the proceedings according to the couple's emotions, a more emotionally resonant wedding can be achieved.

[0110] The proposal department can suggest wedding themes and elements based on the couple's occupations and careers. For example, if the couple are healthcare professionals, they can suggest themes and elements related to healthcare. If the couple are artists, they can suggest themes and elements related to art. Furthermore, if the couple are athletes, they can suggest themes and elements related to sports. This allows for a more personalized wedding by providing themes and elements tailored to the couple's occupations and careers.

[0111] The following briefly describes the processing flow for example form 2.

[0112] Step 1: The reception desk receives input from the couple regarding their wishes, vision, and budget. These wishes include, for example, the wedding theme, decorations, and type of cuisine. The reception desk provides an interface for the couple to input their desired wedding theme, decorations, and type of cuisine. Step 2: The proposal department analyzes the information received by the reception department and proposes a customized wedding plan. The proposal department uses AI to generate the optimal wedding plan based on the couple's wishes, vision, and budget. Step 3: The schedule generation unit automatically generates a detailed schedule based on the plan proposed by the proposal unit. The schedule generation unit uses AI to generate a detailed schedule that includes the progress of each step of the wedding and the necessary arrangements. Step 4: The Option Management Unit manages options and ideas based on the schedule generated by the Schedule Generation Unit. The Option Management Unit uses AI to provide options and ideas to couples. Step 5: The progress management department manages the overall progress based on the options and ideas managed by the options management department. The progress management department uses AI to manage the overall progress of the wedding and monitors the progress of each step in real time.

[0113] 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.

[0114] 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.

[0115] 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.

[0116] Each of the multiple elements described above, including the reception unit, proposal unit, schedule generation unit, option management unit, and progress management unit, is implemented by, for example, at least one of the smart device 14 and the data processing unit 12. For example, the reception unit uses the touch panel 38A and microphone 38B of the smart device 14 to input the couple's wishes, ideas, and budget. The proposal unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12, and uses AI to generate the optimal wedding plan based on the couple's wishes, ideas, and budget. The schedule generation unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12, and uses AI to automatically generate a detailed schedule. The option management unit is implemented by, for example, the control unit 46A of the smart device 14, and provides the couple with options and ideas. The progress management unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12, and manages the overall progress of the wedding and grasps the progress of each step in real time. The correspondence between each unit and the device or control unit is not limited to the example described above, and various changes are possible.

[0117] [Second Embodiment] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0118] 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.

[0119] 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.

[0120] 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.

[0121] 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.

[0122] 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).

[0123] 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.

[0124] 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.

[0125] 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.

[0126] 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.

[0127] 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.

[0128] 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.).

[0129] 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.

[0130] 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.

[0131] 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.

[0132] Each of the multiple elements described above, including the reception unit, proposal unit, schedule generation unit, option management unit, and progress management unit, is implemented by, for example, at least one of the smart glasses 214 and the data processing unit 12. For example, the reception unit uses the microphone 238 of the smart glasses 214 to input the couple's wishes, image, and budget. The proposal unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12, and uses AI to generate the optimal wedding plan based on the couple's wishes, image, and budget. The schedule generation unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12, and uses AI to automatically generate a detailed schedule. The option management unit is implemented by, for example, the control unit 46A of the smart glasses 214, and provides the couple with options and ideas. The progress management unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12, and manages the overall progress of the wedding and grasps the progress of each step in real time. The correspondence between each unit and the devices and control units is not limited to the example described above, and various changes are possible.

[0133] [Third Embodiment] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0134] 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.

[0135] 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.

[0136] 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.

[0137] 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.

[0138] 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).

[0139] 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.

[0140] 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.

[0141] 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.

[0142] 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.

[0143] 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.

[0144] 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.).

[0145] 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.

[0146] 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.

[0147] 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.

[0148] Each of the multiple elements described above, including the reception unit, proposal unit, schedule generation unit, option management unit, and progress management unit, is implemented by, for example, at least one of the headset terminal 314 and the data processing unit 12. For example, the reception unit uses the microphone 238 of the headset terminal 314 to input the couple's wishes, image, and budget. The proposal unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12, and uses AI to generate the optimal wedding plan based on the couple's wishes, image, and budget. The schedule generation unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12, and uses AI to automatically generate a detailed schedule. The option management unit is implemented by, for example, the control unit 46A of the headset terminal 314, and provides the couple with options and ideas. The progress management unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12, and manages the overall progress of the wedding and grasps the progress of each step in real time. The correspondence between each unit and the devices and control units is not limited to the example described above, and various changes are possible.

[0149] [Fourth Embodiment] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0150] 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.

[0151] 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.

[0152] 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.

[0153] 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.

[0154] 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).

[0155] 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.

[0156] 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.

[0157] 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.

[0158] 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.

[0159] 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.

[0160] 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.

[0161] 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.).

[0162] 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.

[0163] 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.

[0164] 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.

[0165] Each of the multiple elements described above, including the reception unit, proposal unit, schedule generation unit, option management unit, and progress management unit, is implemented by, for example, at least one of the robot 414 and the data processing unit 12. For example, the reception unit uses the microphone 238 of the robot 414 to input the couple's wishes, ideas, and budget. The proposal unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12, and uses AI to generate the optimal wedding plan based on the couple's wishes, ideas, and budget. The schedule generation unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12, and uses AI to automatically generate a detailed schedule. The option management unit is implemented by, for example, the control unit 46A of the robot 414, and provides the couple with options and ideas. The progress management unit is implemented by, for example, the specific processing unit 290 of the data processing unit 12, and manages the overall progress of the wedding and monitors the progress of each step in real time. The correspondence between each unit and the devices and control units is not limited to the example described above, and various changes are possible.

[0166] 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.

[0167] 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.

[0168] 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.

[0169] 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.

[0170] 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.

[0171] 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."

[0172] 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.

[0173] 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.

[0174] 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.

[0175] 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.

[0176] 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.

[0177] 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.

[0178] 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.

[0179] 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.

[0180] 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.

[0181] 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.

[0182] 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.

[0183] 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.

[0184] (Note 1) The reception desk is where couples enter their wishes, ideas, and budget. The proposal department analyzes the information received by the reception department and proposes a customized wedding plan. Based on the plan proposed by the aforementioned proposal unit, a schedule generation unit automatically generates a detailed schedule, Based on the schedule generated by the aforementioned schedule generation unit, an option management unit manages options and ideas, The system includes a progress management unit that manages the overall progress based on the options and ideas managed by the aforementioned option management unit. A system characterized by the following features. (Note 2) The aforementioned reception unit is It estimates the couple's emotions and adjusts the input method for desires and images based on the estimated couple's emotions. The system described in Appendix 1, characterized by the features described herein. (Note 3) The aforementioned reception unit is Analyze information about the couple's past weddings and select the optimal input method. The system described in Appendix 1, characterized by the features described herein. (Note 4) The aforementioned reception unit is When you input your preferences and ideas, the system will filter them based on the couple's current lifestyle and areas of interest. The system described in Appendix 1, characterized by the features described herein. (Note 5) The aforementioned reception unit is The system estimates the couple's emotions and prioritizes the information to be entered based on the estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 6) The aforementioned reception unit is When entering preferences and images, the system prioritizes inputting highly relevant information, taking into account the couple's geographical location. The system described in Appendix 1, characterized by the features described herein. (Note 7) The aforementioned reception unit is When you enter your preferences and image, the system will analyze your social media activity as a couple and input relevant information. The system described in Appendix 1, characterized by the features described herein. (Note 8) The aforementioned proposal section is, The system estimates the couple's emotions and adjusts the way the proposal is presented 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, adjust the level of detail based on the importance of the wedding. The system described in Appendix 1, characterized by the features described herein. (Note 10) The aforementioned proposal section is, When making suggestions, different suggestion algorithms are applied depending on the wedding category. The system described in Appendix 1, characterized by the features described herein. (Note 11) The aforementioned proposal section is, The system estimates the couple's emotions and adjusts the length of the proposal based on the estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 12) The aforementioned proposal section is, When making proposals, prioritize them based on the timing of the wedding. The system described in Appendix 1, characterized by the features described herein. (Note 13) The aforementioned proposal section is, When making proposals, adjust the order of suggestions based on their relevance to the wedding. The system described in Appendix 1, characterized by the features described herein. (Note 14) The schedule generation unit, It estimates the couple's emotions and adjusts how the schedule is generated based on the estimated emotions of the couple. The system described in Appendix 1, characterized by the features described herein. (Note 15) The schedule generation unit, When generating the schedule, adjust the level of detail based on the importance of each step in the wedding. The system described in Appendix 1, characterized by the features described herein. (Note 16) The schedule generation unit, When generating a schedule, different schedule generation algorithms are applied depending on the wedding category. The system described in Appendix 1, characterized by the features described herein. (Note 17) The schedule generation unit, It estimates the couple's emotions and adjusts the length of the schedule based on the estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 18) The schedule generation unit, When generating the schedule, prioritize the schedule based on the timing of the wedding. The system described in Appendix 1, characterized by the features described herein. (Note 19) The schedule generation unit, When generating the schedule, the order of events will be adjusted based on the relevance of the weddings. The system described in Appendix 1, characterized by the features described herein. (Note 20) The aforementioned option management unit, It estimates the couple's emotions and adjusts the option management method based on the estimated couple's emotions. The system described in Appendix 1, characterized by the features described herein. (Note 21) The aforementioned option management unit, When managing options, adjust the level of detail based on the importance of each option in the wedding. The system described in Appendix 1, characterized by the features described herein. (Note 22) The aforementioned option management unit, When managing options, different option management algorithms are applied depending on the wedding category. The system described in Appendix 1, characterized by the features described herein. (Note 23) The aforementioned option management unit, It estimates the couple's emotions and determines the priority of options based on the estimated couple's emotions. The system described in Appendix 1, characterized by the features described herein. (Note 24) The aforementioned option management unit, When managing options, prioritize options based on the timing of the wedding. The system described in Appendix 1, characterized by the features described herein. (Note 25) The aforementioned option management unit, When managing options, adjust the order of options based on their relevance to the wedding. The system described in Appendix 1, characterized by the features described herein. (Note 26) The aforementioned progress management department, The system estimates the couple's emotions and adjusts the progress management method based on the estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 27) The aforementioned progress management department, During the planning stage, adjust the level of detail based on the importance of each step of the wedding. The system described in Appendix 1, characterized by the features described herein. (Note 28) The aforementioned progress management department, When managing the progress of a wedding, different progress management algorithms are applied depending on the category of the wedding. The system described in Appendix 1, characterized by the features described herein. (Note 29) The aforementioned progress management department, The system estimates the couple's emotions and determines the priority of progress management based on the estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 30) The aforementioned progress management department, When managing the progress, prioritize tasks based on the timing of the wedding. The system described in Appendix 1, characterized by the features described herein. (Note 31) The aforementioned progress management department, During the planning stage, adjust the order of events based on their relevance to the wedding. The system described in Appendix 1, characterized by the features described herein. [Explanation of symbols]

[0185] 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. The reception desk is where couples enter their wishes, ideas, and budget. The proposal department analyzes the information received by the reception department and proposes a customized wedding plan. Based on the plan proposed by the aforementioned proposal unit, a schedule generation unit automatically generates a detailed schedule, Based on the schedule generated by the aforementioned schedule generation unit, an option management unit manages options and ideas, The system includes a progress management unit that manages the overall progress based on the options and ideas managed by the aforementioned option management unit. A system characterized by the following features.

2. The aforementioned reception unit is It estimates the couple's emotions and adjusts the input method for desires and images based on the estimated couple's emotions. The system according to feature 1.

3. The aforementioned reception unit is Analyze information about the couple's past weddings and select the optimal input method. The system according to feature 1.

4. The aforementioned reception unit is When you input your preferences and ideas, the system will filter them based on the couple's current lifestyle and areas of interest. The system according to feature 1.

5. The aforementioned reception unit is The system estimates the couple's emotions and prioritizes the information to be entered based on the estimated emotions. The system according to feature 1.

6. The aforementioned reception unit is When entering preferences and images, the system prioritizes inputting highly relevant information, taking into account the couple's geographical location. The system according to feature 1.

7. The aforementioned reception unit is When you enter your preferences and image, the system will analyze your social media activity as a couple and input relevant information. The system according to feature 1.

8. The aforementioned proposal section is, The system estimates the couple's emotions and adjusts the way the proposal is presented based on those estimated emotions. The system according to feature 1.

9. The aforementioned proposal section is, When making a proposal, adjust the level of detail based on the importance of the wedding. The system according to feature 1.

10. The aforementioned proposal section is, When making suggestions, different suggestion algorithms are applied depending on the wedding category. The system according to feature 1.

Images